dbSNP Short Genetic Variations
Welcome to the Reference SNP (rs) Report
All alleles are reported in the Forward orientation. Click on the Variant Details tab for details on Genomic Placement, Gene, and Amino Acid changes. HGVS names are in the HGVS tab.
Reference SNP (rs) Report
This page reports data for a single dbSNP Reference SNP variation (RefSNP or rs) from the new redesigned dbSNP build.
Top of the page reports a concise summary for the rs, with more specific details included in the corresponding tabs below.
All alleles are reported in the Forward orientation. Use the Genomic View to inspect the nucleotides flanking the variant, and its neighbors.
For more information see Help documentation.
rs3184504
Current Build 156
Released September 21, 2022
- Organism
- Homo sapiens
- Position
-
chr12:111446804 (GRCh38.p14) Help
The anchor position for this RefSNP. Includes all nucleotides potentially affected by this change, thus it can differ from HGVS, which is right-shifted. See here for details.
- Alleles
- T>A / T>C / T>G
- Variation Type
- SNV Single Nucleotide Variation
- Frequency
-
T=0.460431 (145195/315346, ALFA)T=0.309623 (81954/264690, TOPMED)T=0.332609 (73329/220466, GnomAD_exome) (+ 26 more)
- Clinical Significance
- Reported in ClinVar
- Gene : Consequence
- SH2B3 : Missense Variant
- Publications
- 162 citations
- Genomic View
- See rs on genome
ALFA Allele Frequency
The ALFA project provide aggregate allele frequency from dbGaP. More information is available on the project page including descriptions, data access, and terms of use.
Population | Group | Sample Size | Ref Allele | Alt Allele |
---|---|---|---|---|
Total | Global | 331616 | T=0.455819 | A=0.000000, C=0.544181, G=0.000000 |
European | Sub | 279472 | T=0.500465 | A=0.000000, C=0.499535, G=0.000000 |
African | Sub | 13610 | T=0.09802 | A=0.00000, C=0.90198, G=0.00000 |
African Others | Sub | 480 | T=0.008 | A=0.000, C=0.992, G=0.000 |
African American | Sub | 13130 | T=0.10129 | A=0.00000, C=0.89871, G=0.00000 |
Asian | Sub | 6866 | T=0.0010 | A=0.0000, C=0.9990, G=0.0000 |
East Asian | Sub | 4924 | T=0.0006 | A=0.0000, C=0.9994, G=0.0000 |
Other Asian | Sub | 1942 | T=0.0021 | A=0.0000, C=0.9979, G=0.0000 |
Latin American 1 | Sub | 986 | T=0.415 | A=0.000, C=0.585, G=0.000 |
Latin American 2 | Sub | 6536 | T=0.2526 | A=0.0000, C=0.7474, G=0.0000 |
South Asian | Sub | 5124 | T=0.1218 | A=0.0000, C=0.8782, G=0.0000 |
Other | Sub | 19022 | T=0.38198 | A=0.00000, C=0.61802, G=0.00000 |
Frequency tab displays a table of the reference and alternate allele frequencies reported by various studies and populations. Table lines, where Population="Global" refer to the entire study population, whereas lines, where Group="Sub", refer to a study-specific population subgroupings (i.e. AFR, CAU, etc.), if available. Frequency for the alternate allele (Alt Allele) is a ratio of samples observed-to-total, where the numerator (observed samples) is the number of chromosomes in the study with the minor allele present (found in "Sample size", where Group="Sub"), and the denominator (total samples) is the total number of all chromosomes in the study for the variant (found in "Sample size", where Group="Study-wide" and Population="Global").
DownloadStudy | Population | Group | Sample Size | Ref Allele | Alt Allele |
---|---|---|---|---|---|
Allele Frequency Aggregator | Total | Global | 315346 | T=0.460431 | A=0.000000, C=0.539569, G=0.000000 |
Allele Frequency Aggregator | European | Sub | 269478 | T=0.500549 | A=0.000000, C=0.499451, G=0.000000 |
Allele Frequency Aggregator | Other | Sub | 17584 | T=0.37864 | A=0.00000, C=0.62136, G=0.00000 |
Allele Frequency Aggregator | African | Sub | 8772 | T=0.1093 | A=0.0000, C=0.8907, G=0.0000 |
Allele Frequency Aggregator | Asian | Sub | 6866 | T=0.0010 | A=0.0000, C=0.9990, G=0.0000 |
Allele Frequency Aggregator | Latin American 2 | Sub | 6536 | T=0.2526 | A=0.0000, C=0.7474, G=0.0000 |
Allele Frequency Aggregator | South Asian | Sub | 5124 | T=0.1218 | A=0.0000, C=0.8782, G=0.0000 |
Allele Frequency Aggregator | Latin American 1 | Sub | 986 | T=0.415 | A=0.000, C=0.585, G=0.000 |
TopMed | Global | Study-wide | 264690 | T=0.309623 | C=0.690377 |
gnomAD - Exomes | Global | Study-wide | 220466 | T=0.332609 | C=0.667391 |
gnomAD - Exomes | European | Sub | 119072 | T=0.473772 | C=0.526228 |
gnomAD - Exomes | Asian | Sub | 41008 | T=0.05701 | C=0.94299 |
gnomAD - Exomes | American | Sub | 32166 | T=0.21075 | C=0.78925 |
gnomAD - Exomes | African | Sub | 15924 | T=0.06889 | C=0.93111 |
gnomAD - Exomes | Ashkenazi Jewish | Sub | 6918 | T=0.6589 | C=0.3411 |
gnomAD - Exomes | Other | Sub | 5378 | T=0.3987 | C=0.6013 |
gnomAD - Genomes | Global | Study-wide | 140030 | T=0.332057 | C=0.667943 |
gnomAD - Genomes | European | Sub | 75796 | T=0.47364 | C=0.52636 |
gnomAD - Genomes | African | Sub | 42000 | T=0.08562 | C=0.91438 |
gnomAD - Genomes | American | Sub | 13634 | T=0.29500 | C=0.70500 |
gnomAD - Genomes | Ashkenazi Jewish | Sub | 3322 | T=0.6701 | C=0.3299 |
gnomAD - Genomes | East Asian | Sub | 3128 | T=0.0006 | C=0.9994 |
gnomAD - Genomes | Other | Sub | 2150 | T=0.3498 | C=0.6502 |
ExAC | Global | Study-wide | 110828 | T=0.337451 | C=0.662549 |
ExAC | Europe | Sub | 69734 | T=0.47597 | C=0.52403 |
ExAC | Asian | Sub | 18840 | T=0.05133 | C=0.94867 |
ExAC | American | Sub | 11308 | T=0.19685 | C=0.80315 |
ExAC | African | Sub | 10138 | T=0.07289 | C=0.92711 |
ExAC | Other | Sub | 808 | T=0.342 | C=0.658 |
The PAGE Study | Global | Study-wide | 78694 | T=0.16099 | C=0.83901 |
The PAGE Study | AfricanAmerican | Sub | 32510 | T=0.09317 | C=0.90683 |
The PAGE Study | Mexican | Sub | 10810 | T=0.24052 | C=0.75948 |
The PAGE Study | Asian | Sub | 8318 | T=0.0030 | C=0.9970 |
The PAGE Study | PuertoRican | Sub | 7918 | T=0.3131 | C=0.6869 |
The PAGE Study | NativeHawaiian | Sub | 4532 | T=0.1242 | C=0.8758 |
The PAGE Study | Cuban | Sub | 4230 | T=0.3641 | C=0.6359 |
The PAGE Study | Dominican | Sub | 3828 | T=0.2495 | C=0.7505 |
The PAGE Study | CentralAmerican | Sub | 2450 | T=0.2012 | C=0.7988 |
The PAGE Study | SouthAmerican | Sub | 1982 | T=0.2397 | C=0.7603 |
The PAGE Study | NativeAmerican | Sub | 1260 | T=0.3476 | C=0.6524 |
The PAGE Study | SouthAsian | Sub | 856 | T=0.084 | C=0.916 |
14KJPN | JAPANESE | Study-wide | 28258 | T=0.00004 | C=0.99996 |
8.3KJPN | JAPANESE | Study-wide | 16760 | T=0.00000 | C=1.00000 |
GO Exome Sequencing Project | Global | Study-wide | 13006 | T=0.36598 | C=0.63402 |
GO Exome Sequencing Project | European American | Sub | 8600 | T=0.5053 | C=0.4947 |
GO Exome Sequencing Project | African American | Sub | 4406 | T=0.0940 | C=0.9060 |
1000Genomes_30x | Global | Study-wide | 6404 | T=0.1482 | C=0.8518 |
1000Genomes_30x | African | Sub | 1786 | T=0.0174 | C=0.9826 |
1000Genomes_30x | Europe | Sub | 1266 | T=0.4605 | C=0.5395 |
1000Genomes_30x | South Asian | Sub | 1202 | T=0.0616 | C=0.9384 |
1000Genomes_30x | East Asian | Sub | 1170 | T=0.0034 | C=0.9966 |
1000Genomes_30x | American | Sub | 980 | T=0.262 | C=0.738 |
1000Genomes | Global | Study-wide | 5008 | T=0.1474 | C=0.8526 |
1000Genomes | African | Sub | 1322 | T=0.0189 | C=0.9811 |
1000Genomes | East Asian | Sub | 1008 | T=0.0030 | C=0.9970 |
1000Genomes | Europe | Sub | 1006 | T=0.4642 | C=0.5358 |
1000Genomes | South Asian | Sub | 978 | T=0.069 | C=0.931 |
1000Genomes | American | Sub | 694 | T=0.254 | C=0.746 |
Genetic variation in the Estonian population | Estonian | Study-wide | 4480 | T=0.4446 | C=0.5554 |
The Avon Longitudinal Study of Parents and Children | PARENT AND CHILD COHORT | Study-wide | 3854 | T=0.4504 | C=0.5496 |
UK 10K study - Twins | TWIN COHORT | Study-wide | 3708 | T=0.4906 | C=0.5094 |
KOREAN population from KRGDB | KOREAN | Study-wide | 2930 | T=0.0007 | C=0.9993 |
HGDP-CEPH-db Supplement 1 | Global | Study-wide | 2082 | T=0.1691 | C=0.8309 |
HGDP-CEPH-db Supplement 1 | Est_Asia | Sub | 470 | T=0.015 | C=0.985 |
HGDP-CEPH-db Supplement 1 | Central_South_Asia | Sub | 414 | T=0.159 | C=0.841 |
HGDP-CEPH-db Supplement 1 | Middle_Est | Sub | 348 | T=0.374 | C=0.626 |
HGDP-CEPH-db Supplement 1 | Europe | Sub | 320 | T=0.444 | C=0.556 |
HGDP-CEPH-db Supplement 1 | Africa | Sub | 242 | T=0.008 | C=0.992 |
HGDP-CEPH-db Supplement 1 | America | Sub | 216 | T=0.023 | C=0.977 |
HGDP-CEPH-db Supplement 1 | Oceania | Sub | 72 | T=0.00 | C=1.00 |
Korean Genome Project | KOREAN | Study-wide | 1832 | T=0.0000 | C=1.0000 |
Genome-wide autozygosity in Daghestan | Global | Study-wide | 1118 | T=0.3140 | C=0.6860 |
Genome-wide autozygosity in Daghestan | Daghestan | Sub | 626 | T=0.337 | C=0.663 |
Genome-wide autozygosity in Daghestan | Near_East | Sub | 142 | T=0.289 | C=0.711 |
Genome-wide autozygosity in Daghestan | Central Asia | Sub | 118 | T=0.220 | C=0.780 |
Genome-wide autozygosity in Daghestan | Europe | Sub | 104 | T=0.471 | C=0.529 |
Genome-wide autozygosity in Daghestan | South Asian | Sub | 92 | T=0.05 | C=0.95 |
Genome-wide autozygosity in Daghestan | Caucasus | Sub | 36 | T=0.53 | C=0.47 |
Genome of the Netherlands Release 5 | Genome of the Netherlands | Study-wide | 998 | T=0.466 | C=0.534 |
HapMap | Global | Study-wide | 978 | T=0.254 | C=0.746 |
HapMap | American | Sub | 594 | T=0.261 | C=0.739 |
HapMap | Europe | Sub | 176 | T=0.528 | C=0.472 |
HapMap | African | Sub | 120 | T=0.000 | C=1.000 |
HapMap | Asian | Sub | 88 | T=0.00 | C=1.00 |
Northern Sweden | ACPOP | Study-wide | 600 | T=0.432 | C=0.568 |
Medical Genome Project healthy controls from Spanish population | Spanish controls | Study-wide | 534 | T=0.507 | C=0.493 |
SGDP_PRJ | Global | Study-wide | 526 | T=0.091 | C=0.909 |
FINRISK | Finnish from FINRISK project | Study-wide | 298 | T=0.430 | C=0.570 |
A Vietnamese Genetic Variation Database | Global | Study-wide | 252 | T=0.000 | C=1.000 |
Qatari | Global | Study-wide | 216 | T=0.194 | C=0.806 |
Ancient Sardinia genome-wide 1240k capture data generation and analysis | Global | Study-wide | 82 | T=0.39 | C=0.61 |
Siberian | Global | Study-wide | 52 | T=0.12 | C=0.88 |
The Danish reference pan genome | Danish | Study-wide | 40 | T=0.45 | C=0.55 |
Variant Details tab shows known variant placements on genomic sequences: chromosomes (NC_), RefSeqGene, pseudogenes or genomic regions (NG_), and in a separate table: on transcripts (NM_) and protein sequences (NP_). The corresponding transcript and protein locations are listed in adjacent lines, along with molecular consequences from Sequence Ontology. When no protein placement is available, only the transcript is listed. Column "Codon[Amino acid]" shows the actual base change in the format of "Reference > Alternate" allele, including the nucleotide codon change in transcripts, and the amino acid change in proteins, respectively, allowing for known ribosomal slippage sites. To view nucleotides adjacent to the variant use the Genomic View at the bottom of the page - zoom into the sequence until the nucleotides around the variant become visible.
Sequence name | Change |
---|---|
GRCh38.p14 chr 12 | NC_000012.12:g.111446804T>A |
GRCh38.p14 chr 12 | NC_000012.12:g.111446804T>C |
GRCh38.p14 chr 12 | NC_000012.12:g.111446804T>G |
GRCh37.p13 chr 12 | NC_000012.11:g.111884608T>A |
GRCh37.p13 chr 12 | NC_000012.11:g.111884608T>C |
GRCh37.p13 chr 12 | NC_000012.11:g.111884608T>G |
ATXN2 RefSeqGene (LRG_864) | NG_011572.3:g.157873A>T |
ATXN2 RefSeqGene (LRG_864) | NG_011572.3:g.157873A>G |
ATXN2 RefSeqGene (LRG_864) | NG_011572.3:g.157873A>C |
SH2B3 RefSeqGene (LRG_621) | NG_021216.1:g.45857T>A |
SH2B3 RefSeqGene (LRG_621) | NG_021216.1:g.45857T>C |
SH2B3 RefSeqGene (LRG_621) | NG_021216.1:g.45857T>G |
Molecule type | Change | Amino acid[Codon] | SO Term |
---|---|---|---|
SH2B3 transcript variant 2 | NM_001291424.1:c.178T>A | W [TGG] > R [AGG] | Coding Sequence Variant |
SH2B adapter protein 3 isoform 2 | NP_001278353.1:p.Trp60Arg | W (Trp) > R (Arg) | Missense Variant |
SH2B3 transcript variant 2 | NM_001291424.1:c.178T>C | W [TGG] > R [CGG] | Coding Sequence Variant |
SH2B adapter protein 3 isoform 2 | NP_001278353.1:p.Trp60Arg | W (Trp) > R (Arg) | Missense Variant |
SH2B3 transcript variant 2 | NM_001291424.1:c.178T>G | W [TGG] > G [GGG] | Coding Sequence Variant |
SH2B adapter protein 3 isoform 2 | NP_001278353.1:p.Trp60Gly | W (Trp) > G (Gly) | Missense Variant |
SH2B3 transcript variant 1 | NM_005475.3:c.784T>A | W [TGG] > R [AGG] | Coding Sequence Variant |
SH2B adapter protein 3 isoform 1 | NP_005466.1:p.Trp262Arg | W (Trp) > R (Arg) | Missense Variant |
SH2B3 transcript variant 1 | NM_005475.3:c.784T>C | W [TGG] > R [CGG] | Coding Sequence Variant |
SH2B adapter protein 3 isoform 1 | NP_005466.1:p.Trp262Arg | W (Trp) > R (Arg) | Missense Variant |
SH2B3 transcript variant 1 | NM_005475.3:c.784T>G | W [TGG] > G [GGG] | Coding Sequence Variant |
SH2B adapter protein 3 isoform 1 | NP_005466.1:p.Trp262Gly | W (Trp) > G (Gly) | Missense Variant |
SH2B3 transcript variant X8 | XM_006719180.5:c.-18= | N/A | 5 Prime UTR Variant |
SH2B3 transcript variant X9 | XM_047428028.1:c.-18= | N/A | 5 Prime UTR Variant |
SH2B3 transcript variant X1 | XM_011537719.3:c.904T>A | W [TGG] > R [AGG] | Coding Sequence Variant |
SH2B adapter protein 3 isoform X1 | XP_011536021.1:p.Trp302Arg | W (Trp) > R (Arg) | Missense Variant |
SH2B3 transcript variant X1 | XM_011537719.3:c.904T>C | W [TGG] > R [CGG] | Coding Sequence Variant |
SH2B adapter protein 3 isoform X1 | XP_011536021.1:p.Trp302Arg | W (Trp) > R (Arg) | Missense Variant |
SH2B3 transcript variant X1 | XM_011537719.3:c.904T>G | W [TGG] > G [GGG] | Coding Sequence Variant |
SH2B adapter protein 3 isoform X1 | XP_011536021.1:p.Trp302Gly | W (Trp) > G (Gly) | Missense Variant |
SH2B3 transcript variant X2 | XM_011537720.4:c.904T>A | W [TGG] > R [AGG] | Coding Sequence Variant |
SH2B adapter protein 3 isoform X1 | XP_011536022.1:p.Trp302Arg | W (Trp) > R (Arg) | Missense Variant |
SH2B3 transcript variant X2 | XM_011537720.4:c.904T>C | W [TGG] > R [CGG] | Coding Sequence Variant |
SH2B adapter protein 3 isoform X1 | XP_011536022.1:p.Trp302Arg | W (Trp) > R (Arg) | Missense Variant |
SH2B3 transcript variant X2 | XM_011537720.4:c.904T>G | W [TGG] > G [GGG] | Coding Sequence Variant |
SH2B adapter protein 3 isoform X1 | XP_011536022.1:p.Trp302Gly | W (Trp) > G (Gly) | Missense Variant |
SH2B3 transcript variant X3 | XM_005253818.5:c.904T>A | W [TGG] > R [AGG] | Coding Sequence Variant |
SH2B adapter protein 3 isoform X2 | XP_005253875.1:p.Trp302Arg | W (Trp) > R (Arg) | Missense Variant |
SH2B3 transcript variant X3 | XM_005253818.5:c.904T>C | W [TGG] > R [CGG] | Coding Sequence Variant |
SH2B adapter protein 3 isoform X2 | XP_005253875.1:p.Trp302Arg | W (Trp) > R (Arg) | Missense Variant |
SH2B3 transcript variant X3 | XM_005253818.5:c.904T>G | W [TGG] > G [GGG] | Coding Sequence Variant |
SH2B adapter protein 3 isoform X2 | XP_005253875.1:p.Trp302Gly | W (Trp) > G (Gly) | Missense Variant |
SH2B3 transcript variant X4 | XM_047428025.1:c.904T>A | W [TGG] > R [AGG] | Coding Sequence Variant |
SH2B adapter protein 3 isoform X2 | XP_047283981.1:p.Trp302Arg | W (Trp) > R (Arg) | Missense Variant |
SH2B3 transcript variant X4 | XM_047428025.1:c.904T>C | W [TGG] > R [CGG] | Coding Sequence Variant |
SH2B adapter protein 3 isoform X2 | XP_047283981.1:p.Trp302Arg | W (Trp) > R (Arg) | Missense Variant |
SH2B3 transcript variant X4 | XM_047428025.1:c.904T>G | W [TGG] > G [GGG] | Coding Sequence Variant |
SH2B adapter protein 3 isoform X2 | XP_047283981.1:p.Trp302Gly | W (Trp) > G (Gly) | Missense Variant |
SH2B3 transcript variant X5 | XM_005253819.5:c.784T>A | W [TGG] > R [AGG] | Coding Sequence Variant |
SH2B adapter protein 3 isoform X3 | XP_005253876.1:p.Trp262Arg | W (Trp) > R (Arg) | Missense Variant |
SH2B3 transcript variant X5 | XM_005253819.5:c.784T>C | W [TGG] > R [CGG] | Coding Sequence Variant |
SH2B adapter protein 3 isoform X3 | XP_005253876.1:p.Trp262Arg | W (Trp) > R (Arg) | Missense Variant |
SH2B3 transcript variant X5 | XM_005253819.5:c.784T>G | W [TGG] > G [GGG] | Coding Sequence Variant |
SH2B adapter protein 3 isoform X3 | XP_005253876.1:p.Trp262Gly | W (Trp) > G (Gly) | Missense Variant |
SH2B3 transcript variant X6 | XM_047428026.1:c.784T>A | W [TGG] > R [AGG] | Coding Sequence Variant |
SH2B adapter protein 3 isoform X4 | XP_047283982.1:p.Trp262Arg | W (Trp) > R (Arg) | Missense Variant |
SH2B3 transcript variant X6 | XM_047428026.1:c.784T>C | W [TGG] > R [CGG] | Coding Sequence Variant |
SH2B adapter protein 3 isoform X4 | XP_047283982.1:p.Trp262Arg | W (Trp) > R (Arg) | Missense Variant |
SH2B3 transcript variant X6 | XM_047428026.1:c.784T>G | W [TGG] > G [GGG] | Coding Sequence Variant |
SH2B adapter protein 3 isoform X4 | XP_047283982.1:p.Trp262Gly | W (Trp) > G (Gly) | Missense Variant |
SH2B3 transcript variant X7 | XM_047428027.1:c.1014T>A | G [GGT] > G [GGA] | Coding Sequence Variant |
SH2B adapter protein 3 isoform X5 | XP_047283983.1:p.Gly338= | G (Gly) > G (Gly) | Synonymous Variant |
SH2B3 transcript variant X7 | XM_047428027.1:c.1014T>C | G [GGT] > G [GGC] | Coding Sequence Variant |
SH2B adapter protein 3 isoform X5 | XP_047283983.1:p.Gly338= | G (Gly) > G (Gly) | Synonymous Variant |
SH2B3 transcript variant X7 | XM_047428027.1:c.1014T>G | G [GGT] > G [GGG] | Coding Sequence Variant |
SH2B adapter protein 3 isoform X5 | XP_047283983.1:p.Gly338= | G (Gly) > G (Gly) | Synonymous Variant |
Clinical Significance tab shows a list of clinical significance entries from ClinVar associated with the variation, per allele. Click on the RCV accession (i.e. RCV000001615.2) or Allele ID (i.e. 12274) to access full ClinVar report.
ClinVar Accession | Disease Names | Clinical Significance |
---|---|---|
RCV001667974.2 | not provided | Benign |
Aliases tab displays HGVS names representing the variant placements and allele changes on genomic, transcript and protein sequences, per allele. HGVS name is an expression for reporting sequence accession and version, sequence type, position, and allele change. The column "Note" can have two values: "diff" means that there is a difference between the reference allele (variation interval) at the placement reported in HGVS name and the reference alleles reported in other HGVS names, and "rev" means that the sequence of this variation interval at the placement reported in HGVS name is in reverse orientation to the sequence(s) of this variation in other HGVS names not labeled as "rev".
Placement | T= | A | C | G |
---|---|---|---|---|
GRCh38.p14 chr 12 | NC_000012.12:g.111446804= | NC_000012.12:g.111446804T>A | NC_000012.12:g.111446804T>C | NC_000012.12:g.111446804T>G |
GRCh37.p13 chr 12 | NC_000012.11:g.111884608= | NC_000012.11:g.111884608T>A | NC_000012.11:g.111884608T>C | NC_000012.11:g.111884608T>G |
ATXN2 RefSeqGene (LRG_864) | NG_011572.3:g.157873= | NG_011572.3:g.157873A>T | NG_011572.3:g.157873A>G | NG_011572.3:g.157873A>C |
SH2B3 RefSeqGene (LRG_621) | NG_021216.1:g.45857= | NG_021216.1:g.45857T>A | NG_021216.1:g.45857T>C | NG_021216.1:g.45857T>G |
SH2B3 transcript variant 1 | NM_005475.3:c.784= | NM_005475.3:c.784T>A | NM_005475.3:c.784T>C | NM_005475.3:c.784T>G |
SH2B3 transcript variant 1 | NM_005475.2:c.784= | NM_005475.2:c.784T>A | NM_005475.2:c.784T>C | NM_005475.2:c.784T>G |
SH2B3 transcript variant 2 | NM_001291424.1:c.178= | NM_001291424.1:c.178T>A | NM_001291424.1:c.178T>C | NM_001291424.1:c.178T>G |
SH2B3 transcript variant X3 | XM_005253818.5:c.904= | XM_005253818.5:c.904T>A | XM_005253818.5:c.904T>C | XM_005253818.5:c.904T>G |
SH2B3 transcript variant X3 | XM_005253818.4:c.904= | XM_005253818.4:c.904T>A | XM_005253818.4:c.904T>C | XM_005253818.4:c.904T>G |
SH2B3 transcript variant X3 | XM_005253818.3:c.904= | XM_005253818.3:c.904T>A | XM_005253818.3:c.904T>C | XM_005253818.3:c.904T>G |
SH2B3 transcript variant X1 | XM_005253818.2:c.904= | XM_005253818.2:c.904T>A | XM_005253818.2:c.904T>C | XM_005253818.2:c.904T>G |
SH2B3 transcript variant X1 | XM_005253818.1:c.904= | XM_005253818.1:c.904T>A | XM_005253818.1:c.904T>C | XM_005253818.1:c.904T>G |
SH2B3 transcript variant X8 | XM_006719180.5:c.-18= | XM_006719180.5:c.-18T>A | XM_006719180.5:c.-18T>C | XM_006719180.5:c.-18T>G |
SH2B3 transcript variant X10 | XM_006719180.4:c.-18= | XM_006719180.4:c.-18T>A | XM_006719180.4:c.-18T>C | XM_006719180.4:c.-18T>G |
SH2B3 transcript variant X8 | XM_006719180.3:c.-18= | XM_006719180.3:c.-18T>A | XM_006719180.3:c.-18T>C | XM_006719180.3:c.-18T>G |
SH2B3 transcript variant X7 | XM_006719180.2:c.-18= | XM_006719180.2:c.-18T>A | XM_006719180.2:c.-18T>C | XM_006719180.2:c.-18T>G |
SH2B3 transcript variant X3 | XM_006719180.1:c.-18= | XM_006719180.1:c.-18T>A | XM_006719180.1:c.-18T>C | XM_006719180.1:c.-18T>G |
SH2B3 transcript variant X5 | XM_005253819.5:c.784= | XM_005253819.5:c.784T>A | XM_005253819.5:c.784T>C | XM_005253819.5:c.784T>G |
SH2B3 transcript variant X4 | XM_005253819.4:c.784= | XM_005253819.4:c.784T>A | XM_005253819.4:c.784T>C | XM_005253819.4:c.784T>G |
SH2B3 transcript variant X4 | XM_005253819.3:c.784= | XM_005253819.3:c.784T>A | XM_005253819.3:c.784T>C | XM_005253819.3:c.784T>G |
SH2B3 transcript variant X2 | XM_005253819.2:c.784= | XM_005253819.2:c.784T>A | XM_005253819.2:c.784T>C | XM_005253819.2:c.784T>G |
SH2B3 transcript variant X2 | XM_005253819.1:c.784= | XM_005253819.1:c.784T>A | XM_005253819.1:c.784T>C | XM_005253819.1:c.784T>G |
SH2B3 transcript variant X2 | XM_011537720.4:c.904= | XM_011537720.4:c.904T>A | XM_011537720.4:c.904T>C | XM_011537720.4:c.904T>G |
SH2B3 transcript variant X2 | XM_011537720.3:c.904= | XM_011537720.3:c.904T>A | XM_011537720.3:c.904T>C | XM_011537720.3:c.904T>G |
SH2B3 transcript variant X2 | XM_011537720.2:c.904= | XM_011537720.2:c.904T>A | XM_011537720.2:c.904T>C | XM_011537720.2:c.904T>G |
SH2B3 transcript variant X2 | XM_011537720.1:c.904= | XM_011537720.1:c.904T>A | XM_011537720.1:c.904T>C | XM_011537720.1:c.904T>G |
SH2B3 transcript variant X1 | XM_011537719.3:c.904= | XM_011537719.3:c.904T>A | XM_011537719.3:c.904T>C | XM_011537719.3:c.904T>G |
SH2B3 transcript variant X1 | XM_011537719.2:c.904= | XM_011537719.2:c.904T>A | XM_011537719.2:c.904T>C | XM_011537719.2:c.904T>G |
SH2B3 transcript variant X1 | XM_011537719.1:c.904= | XM_011537719.1:c.904T>A | XM_011537719.1:c.904T>C | XM_011537719.1:c.904T>G |
SH2B3 transcript variant X4 | XM_047428025.1:c.904= | XM_047428025.1:c.904T>A | XM_047428025.1:c.904T>C | XM_047428025.1:c.904T>G |
SH2B3 transcript variant X6 | XM_047428026.1:c.784= | XM_047428026.1:c.784T>A | XM_047428026.1:c.784T>C | XM_047428026.1:c.784T>G |
SH2B3 transcript variant X9 | XM_047428028.1:c.-18= | XM_047428028.1:c.-18T>A | XM_047428028.1:c.-18T>C | XM_047428028.1:c.-18T>G |
SH2B3 transcript variant X7 | XM_047428027.1:c.1014= | XM_047428027.1:c.1014T>A | XM_047428027.1:c.1014T>C | XM_047428027.1:c.1014T>G |
SH2B adapter protein 3 isoform 1 | NP_005466.1:p.Trp262= | NP_005466.1:p.Trp262Arg | NP_005466.1:p.Trp262Arg | NP_005466.1:p.Trp262Gly |
SH2B adapter protein 3 isoform 2 | NP_001278353.1:p.Trp60= | NP_001278353.1:p.Trp60Arg | NP_001278353.1:p.Trp60Arg | NP_001278353.1:p.Trp60Gly |
SH2B adapter protein 3 isoform X2 | XP_005253875.1:p.Trp302= | XP_005253875.1:p.Trp302Arg | XP_005253875.1:p.Trp302Arg | XP_005253875.1:p.Trp302Gly |
SH2B adapter protein 3 isoform X3 | XP_005253876.1:p.Trp262= | XP_005253876.1:p.Trp262Arg | XP_005253876.1:p.Trp262Arg | XP_005253876.1:p.Trp262Gly |
SH2B adapter protein 3 isoform X1 | XP_011536022.1:p.Trp302= | XP_011536022.1:p.Trp302Arg | XP_011536022.1:p.Trp302Arg | XP_011536022.1:p.Trp302Gly |
SH2B adapter protein 3 isoform X1 | XP_011536021.1:p.Trp302= | XP_011536021.1:p.Trp302Arg | XP_011536021.1:p.Trp302Arg | XP_011536021.1:p.Trp302Gly |
SH2B adapter protein 3 isoform X2 | XP_047283981.1:p.Trp302= | XP_047283981.1:p.Trp302Arg | XP_047283981.1:p.Trp302Arg | XP_047283981.1:p.Trp302Gly |
SH2B adapter protein 3 isoform X4 | XP_047283982.1:p.Trp262= | XP_047283982.1:p.Trp262Arg | XP_047283982.1:p.Trp262Arg | XP_047283982.1:p.Trp262Gly |
SH2B adapter protein 3 isoform X5 | XP_047283983.1:p.Gly338= | XP_047283983.1:p.Gly338= | XP_047283983.1:p.Gly338= | XP_047283983.1:p.Gly338= |
Submissions tab displays variations originally submitted to dbSNP, now supporting this RefSNP cluster (rs). We display Submitter handle, Submission identifier, Date and Build number, when the submission appeared for the first time. Direct submissions to dbSNP have Submission ID in the form of an ss-prefixed number (ss#). Other supporting variations are listed in the table without ss#.
No | Submitter | Submission ID | Date (Build) |
---|---|---|---|
1 | LEE | ss4407266 | May 29, 2002 (105) |
2 | WI_SSAHASNP | ss6574914 | Feb 20, 2003 (111) |
3 | WI_SSAHASNP | ss12197488 | Jul 11, 2003 (116) |
4 | PERLEGEN | ss24356019 | Sep 20, 2004 (123) |
5 | ABI | ss38897343 | Mar 14, 2006 (126) |
6 | ILLUMINA | ss65727371 | Oct 16, 2006 (127) |
7 | ILLUMINA | ss66778536 | Dec 01, 2006 (127) |
8 | ILLUMINA | ss67292465 | Dec 01, 2006 (127) |
9 | ILLUMINA | ss67696215 | Dec 01, 2006 (127) |
10 | PERLEGEN | ss69120710 | May 18, 2007 (127) |
11 | ILLUMINA | ss70771054 | May 26, 2008 (130) |
12 | ILLUMINA | ss71346346 | May 18, 2007 (127) |
13 | AFFY | ss74806086 | Aug 16, 2007 (128) |
14 | ILLUMINA | ss75780868 | Dec 07, 2007 (129) |
15 | HGSV | ss77736145 | Dec 07, 2007 (129) |
16 | ILLUMINA | ss79159798 | Dec 15, 2007 (130) |
17 | HGSV | ss84011234 | Dec 15, 2007 (130) |
18 | KRIBB_YJKIM | ss84156484 | Dec 15, 2007 (130) |
19 | HGSV | ss85805662 | Dec 15, 2007 (130) |
20 | CORNELL | ss86270293 | Mar 23, 2008 (129) |
21 | BCMHGSC_JDW | ss89389281 | Mar 24, 2008 (129) |
22 | HUMANGENOME_JCVI | ss97341403 | Feb 06, 2009 (130) |
23 | BGI | ss105122245 | Dec 01, 2009 (131) |
24 | 1000GENOMES | ss112443986 | Jan 25, 2009 (130) |
25 | 1000GENOMES | ss114107721 | Jan 25, 2009 (130) |
26 | ILLUMINA-UK | ss119715227 | Dec 01, 2009 (131) |
27 | ILLUMINA | ss120037231 | Dec 01, 2009 (131) |
28 | ILLUMINA | ss122178896 | Dec 01, 2009 (131) |
29 | ENSEMBL | ss132063107 | Dec 01, 2009 (131) |
30 | ILLUMINA | ss154256485 | Dec 01, 2009 (131) |
31 | GMI | ss157912584 | Dec 01, 2009 (131) |
32 | ILLUMINA | ss159433052 | Dec 01, 2009 (131) |
33 | SEATTLESEQ | ss159727254 | Dec 01, 2009 (131) |
34 | ILLUMINA | ss160615504 | Dec 01, 2009 (131) |
35 | COMPLETE_GENOMICS | ss168718503 | Jul 04, 2010 (132) |
36 | COMPLETE_GENOMICS | ss170882248 | Jul 04, 2010 (132) |
37 | ILLUMINA | ss171558443 | Jul 04, 2010 (132) |
38 | ILLUMINA | ss173572827 | Jul 04, 2010 (132) |
39 | COMPLETE_GENOMICS | ss175268123 | Jul 04, 2010 (132) |
40 | BUSHMAN | ss198695160 | Jul 04, 2010 (132) |
41 | BCM-HGSC-SUB | ss208305881 | Jul 04, 2010 (132) |
42 | 1000GENOMES | ss225963292 | Jul 14, 2010 (132) |
43 | 1000GENOMES | ss236089992 | Jul 15, 2010 (132) |
44 | 1000GENOMES | ss242616780 | Jul 15, 2010 (132) |
45 | ILLUMINA | ss244294065 | Jul 04, 2010 (132) |
46 | BL | ss255347195 | May 09, 2011 (134) |
47 | GMI | ss281548840 | May 04, 2012 (137) |
48 | GMI | ss286627416 | Apr 25, 2013 (138) |
49 | PJP | ss291341096 | May 09, 2011 (134) |
50 | NHLBI-ESP | ss342367326 | May 09, 2011 (134) |
51 | ILLUMINA | ss410928804 | Sep 17, 2011 (135) |
52 | PAGE_STUDY | ss469415430 | May 04, 2012 (137) |
53 | PAGE_STUDY | ss469996452 | May 04, 2012 (137) |
54 | ILLUMINA | ss480766058 | May 04, 2012 (137) |
55 | ILLUMINA | ss480781881 | May 04, 2012 (137) |
56 | ILLUMINA | ss481676432 | Sep 08, 2015 (146) |
57 | ILLUMINA | ss485177750 | May 04, 2012 (137) |
58 | 1000GENOMES | ss491051606 | May 04, 2012 (137) |
59 | EXOME_CHIP | ss491473752 | May 04, 2012 (137) |
60 | CLINSEQ_SNP | ss491672603 | May 04, 2012 (137) |
61 | ILLUMINA | ss537167191 | Sep 08, 2015 (146) |
62 | TISHKOFF | ss563407246 | Apr 25, 2013 (138) |
63 | SSMP | ss658990117 | Apr 25, 2013 (138) |
64 | ILLUMINA | ss778517243 | Aug 21, 2014 (142) |
65 | ILLUMINA | ss780692749 | Sep 08, 2015 (146) |
66 | ILLUMINA | ss783035050 | Aug 21, 2014 (142) |
67 | ILLUMINA | ss783366572 | Sep 08, 2015 (146) |
68 | ILLUMINA | ss783994607 | Aug 21, 2014 (142) |
69 | ILLUMINA | ss825490316 | Apr 01, 2015 (144) |
70 | ILLUMINA | ss832292705 | Apr 01, 2015 (144) |
71 | ILLUMINA | ss832944650 | Aug 21, 2014 (142) |
72 | ILLUMINA | ss833535480 | Aug 21, 2014 (142) |
73 | ILLUMINA | ss833973587 | Aug 21, 2014 (142) |
74 | JMKIDD_LAB | ss974485195 | Aug 21, 2014 (142) |
75 | EVA-GONL | ss989963230 | Aug 21, 2014 (142) |
76 | JMKIDD_LAB | ss1067537719 | Aug 21, 2014 (142) |
77 | JMKIDD_LAB | ss1078773350 | Aug 21, 2014 (142) |
78 | 1000GENOMES | ss1346653073 | Aug 21, 2014 (142) |
79 | HAMMER_LAB | ss1397645690 | Sep 08, 2015 (146) |
80 | DDI | ss1427055192 | Apr 01, 2015 (144) |
81 | EVA_GENOME_DK | ss1576527888 | Apr 01, 2015 (144) |
82 | EVA_FINRISK | ss1584084544 | Apr 01, 2015 (144) |
83 | EVA_UK10K_ALSPAC | ss1629454212 | Apr 01, 2015 (144) |
84 | EVA_DECODE | ss1642068884 | Apr 01, 2015 (144) |
85 | EVA_UK10K_TWINSUK | ss1672448245 | Apr 01, 2015 (144) |
86 | EVA_EXAC | ss1691110484 | Apr 01, 2015 (144) |
87 | EVA_MGP | ss1711343374 | Apr 01, 2015 (144) |
88 | EVA_SVP | ss1713358367 | Apr 01, 2015 (144) |
89 | ILLUMINA | ss1752046564 | Sep 08, 2015 (146) |
90 | ILLUMINA | ss1752046565 | Sep 08, 2015 (146) |
91 | HAMMER_LAB | ss1807421665 | Sep 08, 2015 (146) |
92 | ILLUMINA | ss1917878872 | Feb 12, 2016 (147) |
93 | WEILL_CORNELL_DGM | ss1933316686 | Feb 12, 2016 (147) |
94 | ILLUMINA | ss1946349929 | Feb 12, 2016 (147) |
95 | ILLUMINA | ss1946349930 | Feb 12, 2016 (147) |
96 | ILLUMINA | ss1959466407 | Feb 12, 2016 (147) |
97 | ILLUMINA | ss1959466408 | Feb 12, 2016 (147) |
98 | GENOMED | ss1967682837 | Jul 19, 2016 (147) |
99 | JJLAB | ss2027415726 | Sep 14, 2016 (149) |
100 | ILLUMINA | ss2094876668 | Dec 20, 2016 (150) |
101 | ILLUMINA | ss2095039351 | Dec 20, 2016 (150) |
102 | ILLUMINA | ss2095039352 | Dec 20, 2016 (150) |
103 | USC_VALOUEV | ss2155764737 | Dec 20, 2016 (150) |
104 | HUMAN_LONGEVITY | ss2193218652 | Dec 20, 2016 (150) |
105 | SYSTEMSBIOZJU | ss2628189064 | Nov 08, 2017 (151) |
106 | ILLUMINA | ss2633009103 | Nov 08, 2017 (151) |
107 | ILLUMINA | ss2633009104 | Nov 08, 2017 (151) |
108 | ILLUMINA | ss2633009105 | Nov 08, 2017 (151) |
109 | ILLUMINA | ss2635040707 | Nov 08, 2017 (151) |
110 | GRF | ss2700122373 | Nov 08, 2017 (151) |
111 | ILLUMINA | ss2710770832 | Nov 08, 2017 (151) |
112 | ILLUMINA | ss2710770833 | Nov 08, 2017 (151) |
113 | GNOMAD | ss2740136544 | Nov 08, 2017 (151) |
114 | GNOMAD | ss2748961501 | Nov 08, 2017 (151) |
115 | GNOMAD | ss2915218698 | Nov 08, 2017 (151) |
116 | AFFY | ss2984991145 | Nov 08, 2017 (151) |
117 | AFFY | ss2985627199 | Nov 08, 2017 (151) |
118 | SWEGEN | ss3010353945 | Nov 08, 2017 (151) |
119 | ILLUMINA | ss3021466620 | Nov 08, 2017 (151) |
120 | ILLUMINA | ss3021466621 | Nov 08, 2017 (151) |
121 | EVA_SAMSUNG_MC | ss3023068024 | Nov 08, 2017 (151) |
122 | BIOINF_KMB_FNS_UNIBA | ss3027517886 | Nov 08, 2017 (151) |
123 | CSHL | ss3350251373 | Nov 08, 2017 (151) |
124 | ILLUMINA | ss3625633433 | Oct 12, 2018 (152) |
125 | ILLUMINA | ss3626969806 | Oct 12, 2018 (152) |
126 | ILLUMINA | ss3626969807 | Oct 12, 2018 (152) |
127 | ILLUMINA | ss3631015518 | Oct 12, 2018 (152) |
128 | ILLUMINA | ss3633034393 | Oct 12, 2018 (152) |
129 | ILLUMINA | ss3633735908 | Oct 12, 2018 (152) |
130 | ILLUMINA | ss3634523901 | Oct 12, 2018 (152) |
131 | ILLUMINA | ss3634523902 | Oct 12, 2018 (152) |
132 | ILLUMINA | ss3635426373 | Oct 12, 2018 (152) |
133 | ILLUMINA | ss3636209824 | Oct 12, 2018 (152) |
134 | ILLUMINA | ss3637177381 | Oct 12, 2018 (152) |
135 | ILLUMINA | ss3637987132 | Oct 12, 2018 (152) |
136 | ILLUMINA | ss3639006551 | Oct 12, 2018 (152) |
137 | ILLUMINA | ss3639506176 | Oct 12, 2018 (152) |
138 | ILLUMINA | ss3640231234 | Oct 12, 2018 (152) |
139 | ILLUMINA | ss3640231235 | Oct 12, 2018 (152) |
140 | ILLUMINA | ss3641035114 | Oct 12, 2018 (152) |
141 | ILLUMINA | ss3641329905 | Oct 12, 2018 (152) |
142 | ILLUMINA | ss3642978719 | Oct 12, 2018 (152) |
143 | ILLUMINA | ss3644602938 | Oct 12, 2018 (152) |
144 | ILLUMINA | ss3644602939 | Oct 12, 2018 (152) |
145 | OMUKHERJEE_ADBS | ss3646447366 | Oct 12, 2018 (152) |
146 | URBANLAB | ss3649923310 | Oct 12, 2018 (152) |
147 | ILLUMINA | ss3651848699 | Oct 12, 2018 (152) |
148 | ILLUMINA | ss3651848700 | Oct 12, 2018 (152) |
149 | ILLUMINA | ss3651848701 | Oct 12, 2018 (152) |
150 | ILLUMINA | ss3653761040 | Oct 12, 2018 (152) |
151 | EGCUT_WGS | ss3677654579 | Jul 13, 2019 (153) |
152 | EVA_DECODE | ss3694473176 | Jul 13, 2019 (153) |
153 | ILLUMINA | ss3725357740 | Jul 13, 2019 (153) |
154 | ACPOP | ss3739385503 | Jul 13, 2019 (153) |
155 | ILLUMINA | ss3744105278 | Jul 13, 2019 (153) |
156 | ILLUMINA | ss3744401077 | Jul 13, 2019 (153) |
157 | ILLUMINA | ss3744824716 | Jul 13, 2019 (153) |
158 | ILLUMINA | ss3744824717 | Jul 13, 2019 (153) |
159 | EVA | ss3750969860 | Jul 13, 2019 (153) |
160 | PAGE_CC | ss3771717582 | Jul 13, 2019 (153) |
161 | ILLUMINA | ss3772323919 | Jul 13, 2019 (153) |
162 | ILLUMINA | ss3772323920 | Jul 13, 2019 (153) |
163 | PACBIO | ss3787336815 | Jul 13, 2019 (153) |
164 | PACBIO | ss3792419121 | Jul 13, 2019 (153) |
165 | PACBIO | ss3797302204 | Jul 13, 2019 (153) |
166 | KHV_HUMAN_GENOMES | ss3816301959 | Jul 13, 2019 (153) |
167 | EVA | ss3824771333 | Apr 27, 2020 (154) |
168 | EVA | ss3825528854 | Apr 27, 2020 (154) |
169 | EVA | ss3825544037 | Apr 27, 2020 (154) |
170 | EVA | ss3825829048 | Apr 27, 2020 (154) |
171 | EVA | ss3833328239 | Apr 27, 2020 (154) |
172 | EVA | ss3840236274 | Apr 27, 2020 (154) |
173 | EVA | ss3845724906 | Apr 27, 2020 (154) |
174 | HGDP | ss3847464281 | Apr 27, 2020 (154) |
175 | SGDP_PRJ | ss3879120237 | Apr 27, 2020 (154) |
176 | KRGDB | ss3927862526 | Apr 27, 2020 (154) |
177 | KOGIC | ss3972734222 | Apr 27, 2020 (154) |
178 | FSA-LAB | ss3984037553 | Apr 26, 2021 (155) |
179 | EVA | ss3984673287 | Apr 26, 2021 (155) |
180 | EVA | ss3984673288 | Apr 26, 2021 (155) |
181 | EVA | ss3985615131 | Apr 26, 2021 (155) |
182 | EVA | ss3986060994 | Apr 26, 2021 (155) |
183 | EVA | ss3986586298 | Apr 26, 2021 (155) |
184 | TOPMED | ss4932895624 | Apr 26, 2021 (155) |
185 | TOMMO_GENOMICS | ss5208179753 | Apr 26, 2021 (155) |
186 | EVA | ss5236909242 | Apr 26, 2021 (155) |
187 | EVA | ss5237222016 | Apr 26, 2021 (155) |
188 | EVA | ss5237660866 | Oct 16, 2022 (156) |
189 | 1000G_HIGH_COVERAGE | ss5292245769 | Oct 16, 2022 (156) |
190 | TRAN_CS_UWATERLOO | ss5314436676 | Oct 16, 2022 (156) |
191 | EVA | ss5315649526 | Oct 16, 2022 (156) |
192 | EVA | ss5408249937 | Oct 16, 2022 (156) |
193 | HUGCELL_USP | ss5486848251 | Oct 16, 2022 (156) |
194 | EVA | ss5510845334 | Oct 16, 2022 (156) |
195 | 1000G_HIGH_COVERAGE | ss5590478261 | Oct 16, 2022 (156) |
196 | EVA | ss5623959153 | Oct 16, 2022 (156) |
197 | EVA | ss5624036735 | Oct 16, 2022 (156) |
198 | SANFORD_IMAGENETICS | ss5624312311 | Oct 16, 2022 (156) |
199 | SANFORD_IMAGENETICS | ss5653964043 | Oct 16, 2022 (156) |
200 | TOMMO_GENOMICS | ss5758507384 | Oct 16, 2022 (156) |
201 | EVA | ss5799448919 | Oct 16, 2022 (156) |
202 | EVA | ss5799884097 | Oct 16, 2022 (156) |
203 | EVA | ss5800065627 | Oct 16, 2022 (156) |
204 | EVA | ss5800180381 | Oct 16, 2022 (156) |
205 | YY_MCH | ss5813648630 | Oct 16, 2022 (156) |
206 | EVA | ss5838519160 | Oct 16, 2022 (156) |
207 | EVA | ss5847415921 | Oct 16, 2022 (156) |
208 | EVA | ss5847683748 | Oct 16, 2022 (156) |
209 | EVA | ss5848363076 | Oct 16, 2022 (156) |
210 | EVA | ss5850548499 | Oct 16, 2022 (156) |
211 | EVA | ss5906036633 | Oct 16, 2022 (156) |
212 | EVA | ss5936554510 | Oct 16, 2022 (156) |
213 | EVA | ss5945371196 | Oct 16, 2022 (156) |
214 | EVA | ss5979404161 | Oct 16, 2022 (156) |
215 | EVA | ss5980761502 | Oct 16, 2022 (156) |
216 | 1000Genomes | NC_000012.11 - 111884608 | Oct 12, 2018 (152) |
217 | 1000Genomes_30x | NC_000012.12 - 111446804 | Oct 16, 2022 (156) |
218 | The Avon Longitudinal Study of Parents and Children | NC_000012.11 - 111884608 | Oct 12, 2018 (152) |
219 | Genome-wide autozygosity in Daghestan | NC_000012.10 - 110368991 | Apr 27, 2020 (154) |
220 | Genetic variation in the Estonian population | NC_000012.11 - 111884608 | Oct 12, 2018 (152) |
221 | ExAC | NC_000012.11 - 111884608 | Oct 12, 2018 (152) |
222 | FINRISK | NC_000012.11 - 111884608 | Apr 27, 2020 (154) |
223 | The Danish reference pan genome | NC_000012.11 - 111884608 | Apr 27, 2020 (154) |
224 | gnomAD - Genomes | NC_000012.12 - 111446804 | Apr 26, 2021 (155) |
225 | gnomAD - Exomes | NC_000012.11 - 111884608 | Jul 13, 2019 (153) |
226 | GO Exome Sequencing Project | NC_000012.11 - 111884608 | Oct 12, 2018 (152) |
227 | Genome of the Netherlands Release 5 | NC_000012.11 - 111884608 | Apr 27, 2020 (154) |
228 | HGDP-CEPH-db Supplement 1 | NC_000012.10 - 110368991 | Apr 27, 2020 (154) |
229 | HapMap | NC_000012.12 - 111446804 | Apr 27, 2020 (154) |
230 | KOREAN population from KRGDB | NC_000012.11 - 111884608 | Apr 27, 2020 (154) |
231 | Korean Genome Project | NC_000012.12 - 111446804 | Apr 27, 2020 (154) |
232 | Medical Genome Project healthy controls from Spanish population | NC_000012.11 - 111884608 | Apr 27, 2020 (154) |
233 | Northern Sweden | NC_000012.11 - 111884608 | Jul 13, 2019 (153) |
234 | The PAGE Study | NC_000012.12 - 111446804 | Jul 13, 2019 (153) |
235 | Ancient Sardinia genome-wide 1240k capture data generation and analysis | NC_000012.11 - 111884608 | Apr 26, 2021 (155) |
236 |
CNV burdens in cranial meningiomas
Submission ignored due to conflicting rows: |
- | Apr 26, 2021 (155) |
237 |
CNV burdens in cranial meningiomas
Submission ignored due to conflicting rows: |
- | Apr 26, 2021 (155) |
238 | Qatari | NC_000012.11 - 111884608 | Apr 27, 2020 (154) |
239 | SGDP_PRJ | NC_000012.11 - 111884608 | Apr 27, 2020 (154) |
240 | Siberian | NC_000012.11 - 111884608 | Apr 27, 2020 (154) |
241 | 8.3KJPN | NC_000012.11 - 111884608 | Apr 26, 2021 (155) |
242 | 14KJPN | NC_000012.12 - 111446804 | Oct 16, 2022 (156) |
243 | TopMed | NC_000012.12 - 111446804 | Apr 26, 2021 (155) |
244 | UK 10K study - Twins | NC_000012.11 - 111884608 | Oct 12, 2018 (152) |
245 | A Vietnamese Genetic Variation Database | NC_000012.11 - 111884608 | Jul 13, 2019 (153) |
246 | ALFA | NC_000012.12 - 111446804 | Apr 26, 2021 (155) |
247 | ClinVar | RCV001667974.2 | Oct 16, 2022 (156) |
History tab displays RefSNPs (Associated ID) from previous builds (Build) that now support the current RefSNP, and the dates, when the history was updated for each Associated ID (History Updated).
Associated ID | History Updated (Build) |
---|---|
rs17519753 | Oct 08, 2004 (123) |
rs52803061 | Sep 21, 2007 (128) |
rs60790578 | May 26, 2008 (130) |
Submission IDs | Observation SPDI | Canonical SPDI | Source RSIDs |
---|---|---|---|
10033986002 | NC_000012.12:111446803:T:A | NC_000012.12:111446803:T:A | (self) |
ss77736145, ss84011234, ss85805662, ss3639006551, ss3639506176 | NC_000012.9:110347327:T:C | NC_000012.12:111446803:T:C | (self) |
116440, 142173, ss89389281, ss112443986, ss114107721, ss119715227, ss160615504, ss168718503, ss170882248, ss175268123, ss198695160, ss208305881, ss244294065, ss255347195, ss281548840, ss286627416, ss291341096, ss410928804, ss480766058, ss491672603, ss825490316, ss1397645690, ss1642068884, ss1713358367, ss2094876668, ss2635040707, ss3642978719, ss3847464281 | NC_000012.10:110368990:T:C | NC_000012.12:111446803:T:C | (self) |
59464358, 33025795, 23392827, 1424973, 81005, 3129036, 9374830, 1228758, 14731716, 35039920, 459134, 12670368, 841058, 15358616, 31137217, 8281091, 66149060, 33025795, 7328178, ss225963292, ss236089992, ss242616780, ss342367326, ss480781881, ss481676432, ss485177750, ss491051606, ss491473752, ss537167191, ss563407246, ss658990117, ss778517243, ss780692749, ss783035050, ss783366572, ss783994607, ss832292705, ss832944650, ss833535480, ss833973587, ss974485195, ss989963230, ss1067537719, ss1078773350, ss1346653073, ss1427055192, ss1576527888, ss1584084544, ss1629454212, ss1672448245, ss1691110484, ss1711343374, ss1752046564, ss1752046565, ss1807421665, ss1917878872, ss1933316686, ss1946349929, ss1946349930, ss1959466407, ss1959466408, ss1967682837, ss2027415726, ss2095039351, ss2095039352, ss2155764737, ss2628189064, ss2633009103, ss2633009104, ss2633009105, ss2700122373, ss2710770832, ss2710770833, ss2740136544, ss2748961501, ss2915218698, ss2984991145, ss2985627199, ss3010353945, ss3021466620, ss3021466621, ss3023068024, ss3350251373, ss3625633433, ss3626969806, ss3626969807, ss3631015518, ss3633034393, ss3633735908, ss3634523901, ss3634523902, ss3635426373, ss3636209824, ss3637177381, ss3637987132, ss3640231234, ss3640231235, ss3641035114, ss3641329905, ss3644602938, ss3644602939, ss3646447366, ss3651848699, ss3651848700, ss3651848701, ss3653761040, ss3677654579, ss3739385503, ss3744105278, ss3744401077, ss3744824716, ss3744824717, ss3750969860, ss3772323919, ss3772323920, ss3787336815, ss3792419121, ss3797302204, ss3824771333, ss3825528854, ss3825544037, ss3825829048, ss3833328239, ss3840236274, ss3879120237, ss3927862526, ss3984037553, ss3984673287, ss3984673288, ss3985615131, ss3986060994, ss3986586298, ss5208179753, ss5315649526, ss5408249937, ss5510845334, ss5623959153, ss5624036735, ss5624312311, ss5653964043, ss5799448919, ss5799884097, ss5800065627, ss5800180381, ss5838519160, ss5847415921, ss5847683748, ss5848363076, ss5936554510, ss5945371196, ss5979404161, ss5980761502 | NC_000012.11:111884607:T:C | NC_000012.12:111446803:T:C | (self) |
RCV001667974.2, 78004196, 419438189, 905390, 29112223, 939051, 92344488, 148441281, 10033986002, ss2193218652, ss3027517886, ss3649923310, ss3694473176, ss3725357740, ss3771717582, ss3816301959, ss3845724906, ss3972734222, ss4932895624, ss5236909242, ss5237222016, ss5237660866, ss5292245769, ss5314436676, ss5486848251, ss5590478261, ss5758507384, ss5813648630, ss5850548499, ss5906036633 | NC_000012.12:111446803:T:C | NC_000012.12:111446803:T:C | (self) |
ss12197488 | NT_009775.13:671486:T:C | NC_000012.12:111446803:T:C | (self) |
ss4407266, ss6574914, ss24356019, ss38897343, ss65727371, ss66778536, ss67292465, ss67696215, ss69120710, ss70771054, ss71346346, ss74806086, ss75780868, ss79159798, ss84156484, ss86270293, ss97341403, ss105122245, ss120037231, ss122178896, ss132063107, ss154256485, ss157912584, ss159433052, ss159727254, ss171558443, ss173572827, ss469415430, ss469996452 | NT_009775.17:2461137:T:C | NC_000012.12:111446803:T:C | (self) |
10033986002 | NC_000012.12:111446803:T:G | NC_000012.12:111446803:T:G | (self) |
Publications tab displays PubMed articles citing the variation as a listing of PMID, Title, Author, Year, Journal, ordered by Year, descending.
PMID | Title | Author | Year | Journal |
---|---|---|---|---|
17554260 | Robust associations of four new chromosome regions from genome-wide analyses of type 1 diabetes. | Todd JA et al. | 2007 | Nature genetics |
18252225 | On the use of general control samples for genome-wide association studies: genetic matching highlights causal variants. | Luca D et al. | 2008 | American journal of human genetics |
18311140 | Newly identified genetic risk variants for celiac disease related to the immune response. | Hunt KA et al. | 2008 | Nature genetics |
18556337 | Impact of diabetes susceptibility loci on progression from pre-diabetes to diabetes in at-risk individuals of the diabetes prevention trial-type 1 (DPT-1). | Butty V et al. | 2008 | Diabetes |
18713140 | Translational mini-review series on the immunogenetics of gut disease: immunogenetics of coeliac disease. | Dubois PC et al. | 2008 | Clinical and experimental immunology |
18978792 | Meta-analysis of genome-wide association study data identifies additional type 1 diabetes risk loci. | Cooper JD et al. | 2008 | Nature genetics |
18987646 | The expanding genetic overlap between multiple sclerosis and type I diabetes. | 2009 | Genes and immunity | |
19073967 | Shared and distinct genetic variants in type 1 diabetes and celiac disease. | Smyth DJ et al. | 2008 | The New England journal of medicine |
19168599 | Type 1 diabetes in the BB rat: a polygenic disease. | Wallis RH et al. | 2009 | Diabetes |
19198610 | Sequence variants affecting eosinophil numbers associate with asthma and myocardial infarction. | Gudbjartsson DF et al. | 2009 | Nature genetics |
19307593 | Signals of recent positive selection in a worldwide sample of human populations. | Pickrell JK et al. | 2009 | Genome research |
19430479 | Genome-wide association study of blood pressure and hypertension. | Levy D et al. | 2009 | Nature genetics |
19430480 | Genome-wide association study and meta-analysis find that over 40 loci affect risk of type 1 diabetes. | Barrett JC et al. | 2009 | Nature genetics |
19430483 | Genome-wide association study identifies eight loci associated with blood pressure. | Newton-Cheh C et al. | 2009 | Nature genetics |
19648293 | Replication of celiac disease UK genome-wide association study results in a US population. | Garner CP et al. | 2009 | Human molecular genetics |
19693089 | Four novel coeliac disease regions replicated in an association study of a Swedish-Norwegian family cohort. | Amundsen SS et al. | 2010 | Genes and immunity |
19820697 | A genome-wide meta-analysis identifies 22 loci associated with eight hematological parameters in the HaemGen consortium. | Soranzo N et al. | 2009 | Nature genetics |
19860791 | Genetic evidence for a role of IL33 in nasal polyposis. | Buysschaert ID et al. | 2010 | Allergy |
19862010 | Multiple loci influence erythrocyte phenotypes in the CHARGE Consortium. | Ganesh SK et al. | 2009 | Nature genetics |
19913121 | Gene-centric association signals for lipids and apolipoproteins identified via the HumanCVD BeadChip. | Talmud PJ et al. | 2009 | American journal of human genetics |
19951419 | Confirmation of the genetic association of CTLA4 and PTPN22 with ANCA-associated vasculitis. | Carr EJ et al. | 2009 | BMC medical genetics |
19956433 | Genetics of coronary artery disease: focus on genome-wide association studies. | Baudhuin LM et al. | 2009 | American journal of translational research |
20045101 | Quantitative trait loci for CD4:CD8 lymphocyte ratio are associated with risk of type 1 diabetes and HIV-1 immune control. | Ferreira MA et al. | 2010 | American journal of human genetics |
20112382 | Confirmation of an association between rs6822844 at the Il2-Il21 region and multiple autoimmune diseases: evidence of a general susceptibility locus. | Maiti AK et al. | 2010 | Arthritis and rheumatism |
20190752 | Multiple common variants for celiac disease influencing immune gene expression. | Dubois PC et al. | 2010 | Nature genetics |
20224392 | Blood pressure and human genetic variation in the general population. | Arora P et al. | 2010 | Current opinion in cardiology |
20425154 | Genome-wide association studies: contribution of genomics to understanding blood pressure and essential hypertension. | Ehret GB et al. | 2010 | Current hypertension reports |
20440292 | Early identification of cardiovascular risk using genomics and proteomics. | Kullo IJ et al. | 2010 | Nature reviews. Cardiology |
20453842 | Genome-wide association study meta-analysis identifies seven new rheumatoid arthritis risk loci. | Stahl EA et al. | 2010 | Nature genetics |
20508602 | The autoimmune disease-associated KIF5A, CD226 and SH2B3 gene variants confer susceptibility for multiple sclerosis. | Alcina A et al. | 2010 | Genes and immunity |
20526340 | Common variants in FOXP1 are associated with generalized vitiligo. | Jin Y et al. | 2010 | Nature genetics |
20546165 | The carriage of the type 1 diabetes-associated R262W variant of human LNK correlates with increased proliferation of peripheral blood monocytes in diabetic patients. | Lavrikova EY et al. | 2011 | Pediatric diabetes |
20560212 | Evolutionary and functional analysis of celiac risk loci reveals SH2B3 as a protective factor against bacterial infection. | Zhernakova A et al. | 2010 | American journal of human genetics |
20587799 | Genetics of type 1 diabetes: what's next? | Pociot F et al. | 2010 | Diabetes |
20610812 | The genetics of normal platelet reactivity. | Kunicki TJ et al. | 2010 | Blood |
20647273 | Investigation of type 1 diabetes and coeliac disease susceptibility loci for association with juvenile idiopathic arthritis. | Hinks A et al. | 2010 | Annals of the rheumatic diseases |
20729558 | Improved prediction of cardiovascular disease based on a panel of single nucleotide polymorphisms identified through genome-wide association studies. | Davies RW et al. | 2010 | Circulation. Cardiovascular genetics |
20805105 | Synthetic associations in the context of genome-wide association scan signals. | Orozco G et al. | 2010 | Human molecular genetics |
20838585 | Longitudinal genome-wide association of cardiovascular disease risk factors in the Bogalusa heart study. | Smith EN et al. | 2010 | PLoS genetics |
20854658 | Overlapping genetic susceptibility variants between three autoimmune disorders: rheumatoid arthritis, type 1 diabetes and coeliac disease. | Eyre S et al. | 2010 | Arthritis research & therapy |
20885991 | Advances and challenges in biomarker development for type 1 diabetes prediction and prevention using omic technologies. | Carey C et al. | 2010 | Expert opinion on medical diagnostics |
20933377 | Recent findings on genetics of systemic autoimmune diseases. | Delgado-Vega A et al. | 2010 | Current opinion in immunology |
20948529 | Recent findings in the genetics of blood pressure and hypertension traits. | Franceschini N et al. | 2011 | American journal of hypertension |
20971364 | A multilocus genetic risk score for coronary heart disease: case-control and prospective cohort analyses. | Ripatti S et al. | 2010 | Lancet (London, England) |
21045733 | Discovery and replication of novel blood pressure genetic loci in the Women's Genome Health Study. | Ho JE et al. | 2011 | Journal of hypertension |
21060006 | Genetic architecture of ambulatory blood pressure in the general population: insights from cardiovascular gene-centric array. | Tomaszewski M et al. | 2010 | Hypertension (Dallas, Tex. |
21060863 | Four novel Loci (19q13, 6q24, 12q24, and 5q14) influence the microcirculation in vivo. | Ikram MK et al. | 2010 | PLoS genetics |
21129164 | The genetics of blood pressure and hypertension: the role of rare variation. | Doris PA et al. | 2011 | Cardiovascular therapeutics |
21153663 | Genetic association analysis highlights new loci that modulate hematological trait variation in Caucasians and African Americans. | Lo KS et al. | 2011 | Human genetics |
21193429 | Determinants of platelet count in humans. | Daly ME et al. | 2011 | Haematologica |
21253569 | Genome-wide association study SNPs in the human genome diversity project populations: does selection affect unlinked SNPs with shared trait associations? | Casto AM et al. | 2011 | PLoS genetics |
21266329 | Tests for genetic interactions in type 1 diabetes: linkage and stratification analyses of 4,422 affected sib-pairs. | Morahan G et al. | 2011 | Diabetes |
21270831 | Association between type 1 diabetes and GWAS SNPs in the southeast US Caucasian population. | Reddy MV et al. | 2011 | Genes and immunity |
21369780 | Genome-wide association studies in atherosclerosis. | Sivapalaratnam S et al. | 2011 | Current atherosclerosis reports |
21378095 | Association of genetic variation with systolic and diastolic blood pressure among African Americans: the Candidate Gene Association Resource study. | Fox ER et al. | 2011 | Human molecular genetics |
21378990 | Large-scale association analysis identifies 13 new susceptibility loci for coronary artery disease. | Schunkert H et al. | 2011 | Nature genetics |
21507254 | Geographic differences in allele frequencies of susceptibility SNPs for cardiovascular disease. | Ding K et al. | 2011 | BMC medical genetics |
21533024 | Genome-wide association analysis of soluble ICAM-1 concentration reveals novel associations at the NFKBIK, PNPLA3, RELA, and SH2B3 loci. | Paré G et al. | 2011 | PLoS genetics |
21572416 | Meta-analysis of genome-wide association studies identifies common variants associated with blood pressure variation in east Asians. | Kato N et al. | 2011 | Nature genetics |
21595938 | Rheumatoid arthritis-associated polymorphisms are not protective against Alzheimer's disease. | Simmons CR et al. | 2011 | Molecular neurodegeneration |
21738479 | Genome-wide association study of white blood cell count in 16,388 African Americans: the continental origins and genetic epidemiology network (COGENT). | Reiner AP et al. | 2011 | PLoS genetics |
21765104 | Evaluation of 19 autoimmune disease-associated loci with rheumatoid arthritis in a Colombian population: evidence for replication and gene-gene interaction. | Deshmukh HA et al. | 2011 | The Journal of rheumatology |
21829388 | Trans-eQTLs reveal that independent genetic variants associated with a complex phenotype converge on intermediate genes, with a major role for the HLA. | Fehrmann RS et al. | 2011 | PLoS genetics |
21829393 | Genome-wide association analysis of autoantibody positivity in type 1 diabetes cases. | Plagnol V et al. | 2011 | PLoS genetics |
21852963 | Pervasive sharing of genetic effects in autoimmune disease. | Cotsapas C et al. | 2011 | PLoS genetics |
21860704 | Implications of discoveries from genome-wide association studies in current cardiovascular practice. | Jeemon P et al. | 2011 | World journal of cardiology |
21873553 | Genetic analysis of adult-onset autoimmune diabetes. | Howson JM et al. | 2011 | Diabetes |
21875899 | Thirty-five common variants for coronary artery disease: the fruits of much collaborative labour. | Peden JF et al. | 2011 | Human molecular genetics |
21909115 | Genetic variants in novel pathways influence blood pressure and cardiovascular disease risk. | Ehret GB et al. | 2011 | Nature |
21952740 | Replication of association of the PTPRC gene with response to anti-tumor necrosis factor therapy in a large UK cohort. | Plant D et al. | 2012 | Arthritis and rheumatism |
21971053 | Genome-wide association study of coronary artery disease in the Japanese. | Takeuchi F et al. | 2012 | European journal of human genetics |
21980299 | A genome-wide meta-analysis of six type 1 diabetes cohorts identifies multiple associated loci. | Bradfield JP et al. | 2011 | PLoS genetics |
22025373 | Genetic variants and blood pressure in a population-based cohort: the Cardiovascular Risk in Young Finns study. | Oikonen M et al. | 2011 | Hypertension (Dallas, Tex. |
22046141 | Association of NCF2, IKZF1, IRF8, IFIH1, and TYK2 with systemic lupus erythematosus. | Cunninghame Graham DS et al. | 2011 | PLoS genetics |
22057235 | Dense genotyping identifies and localizes multiple common and rare variant association signals in celiac disease. | Trynka G et al. | 2011 | Nature genetics |
22087237 | Improving the estimation of celiac disease sibling risk by non-HLA genes. | Izzo V et al. | 2011 | PloS one |
22139419 | New gene functions in megakaryopoiesis and platelet formation. | Gieger C et al. | 2011 | Nature |
22140480 | SNPs and other features as they predispose to complex disease: genome-wide predictive analysis of a quantitative phenotype for hypertension. | Won JH et al. | 2011 | PloS one |
22144573 | Genome-wide association study for coronary artery calcification with follow-up in myocardial infarction. | O'Donnell CJ et al. | 2011 | Circulation |
22144904 | Integrating genome-wide genetic variations and monocyte expression data reveals trans-regulated gene modules in humans. | Rotival M et al. | 2011 | PLoS genetics |
22151179 | Genotype-informed estimation of risk of coronary heart disease based on genome-wide association data linked to the electronic medical record. | Ding K et al. | 2011 | BMC cardiovascular disorders |
22216278 | Large scale association analysis identifies three susceptibility loci for coronary artery disease. | Saade S et al. | 2011 | PloS one |
22277159 | Implications for health and disease in the genetic signature of the Ashkenazi Jewish population. | Guha S et al. | 2012 | Genome biology |
22293688 | 1000 Genomes-based imputation identifies novel and refined associations for the Wellcome Trust Case Control Consortium phase 1 Data. | Huang J et al. | 2012 | European journal of human genetics |
22315323 | Effects of non-HLA gene polymorphisms on development of islet autoimmunity and type 1 diabetes in a population with high-risk HLA-DR,DQ genotypes. | Steck AK et al. | 2012 | Diabetes |
22328738 | Comprehensive assessment of rheumatoid arthritis susceptibility loci in a large psoriatic arthritis cohort. | Bowes J et al. | 2012 | Annals of the rheumatic diseases |
22363065 | Are myocardial infarction--associated single-nucleotide polymorphisms associated with ischemic stroke? | Cheng YC et al. | 2012 | Stroke |
22493691 | Novel associations for hypothyroidism include known autoimmune risk loci. | Eriksson N et al. | 2012 | PloS one |
22525200 | Pharmacogenetic implications for eight common blood pressure-associated single-nucleotide polymorphisms. | Hamrefors V et al. | 2012 | Journal of hypertension |
22577522 | Shared HLA Class II in Six Autoimmune Diseases in Latin America: A Meta-Analysis. | Cruz-Tapias P et al. | 2012 | Autoimmune diseases |
22588700 | Genetics of coronary artery disease in the 21st century. | Roberts R et al. | 2012 | Clinical cardiology |
22848412 | Genetic markers enhance coronary risk prediction in men: the MORGAM prospective cohorts. | Hughes MF et al. | 2012 | PloS one |
22916186 | ATXN2 and its neighbouring gene SH2B3 are associated with increased ALS risk in the Turkish population. | Lahut S et al. | 2012 | PloS one |
23328882 | Meta-analyses of four eosinophil related gene variants in coronary heart disease. | Lian J et al. | 2013 | Journal of thrombosis and thrombolysis |
23417110 | Genome-wide association study identified the human leukocyte antigen region as a novel locus for plasma beta-2 microglobulin. | Tin A et al. | 2013 | Human genetics |
23468967 | Improvement in prediction of coronary heart disease risk over conventional risk factors using SNPs identified in genome-wide association studies. | Bolton JL et al. | 2013 | PloS one |
23840476 | Identification of the tyrosine-protein phosphatase non-receptor type 2 as a rheumatoid arthritis susceptibility locus in europeans. | Cobb JE et al. | 2013 | PloS one |
24219970 | Common genetic variants do not associate with CAD in familial hypercholesterolemia. | van Iperen EP et al. | 2014 | European journal of human genetics |
24274136 | Biobanking across the phenome - at the center of chronic disease research. | Imboden M et al. | 2013 | BMC public health |
24768677 | Genome-wide association study identifies variants associated with autoimmune hepatitis type 1. | de Boer YS et al. | 2014 | Gastroenterology |
24931982 | GRASP: analysis of genotype-phenotype results from 1390 genome-wide association studies and corresponding open access database. | Leslie R et al. | 2014 | Bioinformatics (Oxford, England) |
24932356 | Genetics of coronary artery disease: an update. | Roberts R et al. | 2014 | Methodist DeBakey cardiovascular journal |
24936253 | 12q24 locus association with type 1 diabetes: SH2B3 or ATXN2? | Auburger G et al. | 2014 | World journal of diabetes |
24987407 | eMERGEing progress in genomics-the first seven years. | Crawford DC et al. | 2014 | Frontiers in genetics |
25009551 | The ATXN2-SH2B3 locus is associated with peripheral arterial disease: an electronic medical record-based genome-wide association study. | Kullo IJ et al. | 2014 | Frontiers in genetics |
25422107 | Role of Type 1 Diabetes-Associated SNPs on Risk of Autoantibody Positivity in the TEDDY Study. | Törn C et al. | 2015 | Diabetes |
25542012 | Prospective associations of coronary heart disease loci in African Americans using the MetaboChip: the PAGE study. | Franceschini N et al. | 2014 | PloS one |
25785607 | A meta-analysis of gene expression signatures of blood pressure and hypertension. | Huan T et al. | 2015 | PLoS genetics |
25920553 | Common polygenic variation in coeliac disease and confirmation of ZNF335 and NIFA as disease susceptibility loci. | Coleman C et al. | 2016 | European journal of human genetics |
26293461 | Prediction of Causal Candidate Genes in Coronary Artery Disease Loci. | Brænne I et al. | 2015 | Arteriosclerosis, thrombosis, and vascular biology |
26319099 | Cross Cancer Genomic Investigation of Inflammation Pathway for Five Common Cancers: Lung, Ovary, Prostate, Breast, and Colorectal Cancer. | Hung RJ et al. | 2015 | Journal of the National Cancer Institute |
26553438 | Recurrent Coding Sequence Variation Explains Only A Small Fraction of the Genetic Architecture of Colorectal Cancer. | Timofeeva MN et al. | 2015 | Scientific reports |
26652023 | Lack of association between the CARD10 rs6000782 polymorphism and type 1 autoimmune hepatitis in a Japanese population. | Migita K et al. | 2015 | BMC research notes |
26677855 | Genome-Wide Scan Informed by Age-Related Disease Identifies Loci for Exceptional Human Longevity. | Fortney K et al. | 2015 | PLoS genetics |
26843707 | Replication of GWAS Coding SNPs Implicates MMEL1 as a Potential Susceptibility Locus among Saudi Arabian Celiac Disease Patients. | Saadah OI et al. | 2015 | Disease markers |
26847647 | Experimental Biology for the Identification of Causal Pathways in Atherosclerosis. | Guo Y et al. | 2016 | Cardiovascular drugs and therapy |
26870082 | Genetic Susceptibility to Vitiligo: GWAS Approaches for Identifying Vitiligo Susceptibility Genes and Loci. | Shen C et al. | 2016 | Frontiers in genetics |
26891449 | Total and Differential Leukocyte Counts in Relation to Incidence of Diabetes Mellitus: A Prospective Population-Based Cohort Study. | Borné Y et al. | 2016 | PloS one |
26892960 | From Loci to Biology: Functional Genomics of Genome-Wide Association for Coronary Disease. | Nurnberg ST et al. | 2016 | Circulation research |
26904692 | Genetic Risk Score Modelling for Disease Progression in New-Onset Type 1 Diabetes Patients: Increased Genetic Load of Islet-Expressed and Cytokine-Regulated Candidate Genes Predicts Poorer Glycemic Control. | Brorsson CA et al. | 2016 | Journal of diabetes research |
26950853 | Genome-Wide Association Study for Incident Myocardial Infarction and Coronary Heart Disease in Prospective Cohort Studies: The CHARGE Consortium. | Dehghan A et al. | 2016 | PloS one |
26958643 | Detailed analysis of association between common single nucleotide polymorphisms and subclinical atherosclerosis: The Multi-ethnic Study of Atherosclerosis. | Vargas JD et al. | 2016 | Data in brief |
26974007 | Analysis of five chronic inflammatory diseases identifies 27 new associations and highlights disease-specific patterns at shared loci. | Ellinghaus D et al. | 2016 | Nature genetics |
27015805 | Human longevity is influenced by many genetic variants: evidence from 75,000 UK Biobank participants. | Pilling LC et al. | 2016 | Aging |
27111338 | The Polymorphisms in LNK Gene Correlated to the Clinical Type of Myeloproliferative Neoplasms. | Chen Y et al. | 2016 | PloS one |
27189168 | The impact of genome-wide association studies on the pathophysiology and therapy of cardiovascular disease. | Kessler T et al. | 2016 | EMBO molecular medicine |
27274049 | Early farmers from across Europe directly descended from Neolithic Aegeans. | Hofmanová Z et al. | 2016 | Proceedings of the National Academy of Sciences of the United States of America |
27294088 | Genetics of the acute coronary syndrome. | Franchini M et al. | 2016 | Annals of translational medicine |
27313952 | The Impact of Evolutionary Driving Forces on Human Complex Diseases: A Population Genetics Approach. | Saeb AT et al. | 2016 | Scientifica |
27365426 | Germ line variants predispose to both JAK2 V617F clonal hematopoiesis and myeloproliferative neoplasms. | Hinds DA et al. | 2016 | Blood |
27736895 | Variant Discovery and Fine Mapping of Genetic Loci Associated with Blood Pressure Traits in Hispanics and African Americans. | Franceschini N et al. | 2016 | PloS one |
28107422 | Comparison of HapMap and 1000 Genomes Reference Panels in a Large-Scale Genome-Wide Association Study. | de Vries PS et al. | 2017 | PloS one |
28209224 | Systematic Evaluation of Pleiotropy Identifies 6 Further Loci Associated With Coronary Artery Disease. | Webb TR et al. | 2017 | Journal of the American College of Cardiology |
28382505 | Association of established hypothyroidism-associated genetic variants with Hashimoto's thyroiditis. | Barić A et al. | 2017 | Journal of endocrinological investigation |
28449694 | The MHC locus and genetic susceptibility to autoimmune and infectious diseases. | Matzaraki V et al. | 2017 | Genome biology |
28520980 | Can Non-HLA Single Nucleotide Polymorphisms Help Stratify Risk in TrialNet Relatives at Risk for Type 1 Diabetes? | Steck AK et al. | 2017 | The Journal of clinical endocrinology and metabolism |
28641622 | [Variation of LNK Gene in Chronic Myeloid Leukemia]. | Tan M et al. | 2017 | Zhongguo shi yan xue ye xue za zhi |
28686695 | Coronary artery disease-associated genetic variants and biomarkers of inflammation. | Christiansen MK et al. | 2017 | PloS one |
28703133 | Association of autoimmune hepatitis with Src homology 2 adaptor protein 3 gene polymorphisms in Japanese patients. | Umemura T et al. | 2017 | Journal of human genetics |
28865245 | The SH2B3 and KCNK5 loci may be implicated in regulation of platelet count, volume, and maturity. | Christiansen MK et al. | 2017 | Thrombosis research |
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The Flanks tab provides retrieving flanking sequences of a SNP on all molecules that have placements.
Genomic regions, transcripts, and products
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NCBI Graphical Sequence Viewer display of the genomic region, transcripts and protein products for the reported RefSNP (rs).
Use the zoom option to view the nucleotides around the RefSNP and find other neighboring RefSNPs.
Visit Sequence Viewer for help with navigating inside the display and modifying the selection of displayed data tracks.
NCBI Graphical Sequence Viewer display of the genomic region, transcripts and protein products for the reported RefSNP (rs).
Use the zoom option to view the nucleotides around the RefSNP and find other neighboring RefSNPs.
Visit Sequence Viewer for help with navigating inside the display and modifying the selection of displayed data tracks.