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.
rs10503669
Current Build 156
Released September 21, 2022
- Organism
- Homo sapiens
- Position
-
chr8:19990179 (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
- C>A / C>T
- Variation Type
- SNV Single Nucleotide Variation
- Frequency
-
A=0.081760 (21641/264690, TOPMED)A=0.092312 (19487/211100, ALFA)A=0.083979 (11763/140070, GnomAD) (+ 22 more)
- Clinical Significance
- Not Reported in ClinVar
- Gene : Consequence
-
None
- Publications
- 22 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 | Ref HMOZ | Alt HMOZ | HTRZ | HWEP |
|---|---|---|---|---|---|---|---|---|
| Total | Global | 211316 | C=0.907660 | A=0.092340, T=0.000000 | 0.824803 | 0.009483 | 0.165714 | 8 |
| European | Sub | 173492 | C=0.903068 | A=0.096932, T=0.000000 | 0.81636 | 0.010225 | 0.173414 | 5 |
| African | Sub | 8990 | C=0.9568 | A=0.0432, T=0.0000 | 0.916352 | 0.00267 | 0.080979 | 1 |
| African Others | Sub | 330 | C=0.970 | A=0.030, T=0.000 | 0.939394 | 0.0 | 0.060606 | 0 |
| African American | Sub | 8660 | C=0.9564 | A=0.0436, T=0.0000 | 0.915473 | 0.002771 | 0.081755 | 1 |
| Asian | Sub | 6634 | C=0.9068 | A=0.0932, T=0.0000 | 0.82243 | 0.008743 | 0.168827 | 0 |
| East Asian | Sub | 4748 | C=0.8991 | A=0.1009, T=0.0000 | 0.807919 | 0.009688 | 0.182393 | 0 |
| Other Asian | Sub | 1886 | C=0.9263 | A=0.0737, T=0.0000 | 0.858961 | 0.006363 | 0.134677 | 0 |
| Latin American 1 | Sub | 996 | C=0.938 | A=0.062, T=0.000 | 0.875502 | 0.0 | 0.124498 | 1 |
| Latin American 2 | Sub | 7336 | C=0.9412 | A=0.0588, T=0.0000 | 0.886859 | 0.004362 | 0.108779 | 1 |
| South Asian | Sub | 340 | C=0.918 | A=0.082, T=0.000 | 0.841176 | 0.005882 | 0.152941 | 0 |
| Other | Sub | 13528 | C=0.91359 | A=0.08641, T=0.00000 | 0.8356 | 0.008427 | 0.155973 | 1 |
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").
Download| Study | Population | Group | Sample Size | Ref Allele | Alt Allele |
|---|---|---|---|---|---|
| TopMed | Global | Study-wide | 264690 | C=0.918240 | A=0.081760 |
| Allele Frequency Aggregator | Total | Global | 211100 | C=0.907688 | A=0.092312, T=0.000000 |
| Allele Frequency Aggregator | European | Sub | 173312 | C=0.903100 | A=0.096900, T=0.000000 |
| Allele Frequency Aggregator | Other | Sub | 13506 | C=0.91359 | A=0.08641, T=0.00000 |
| Allele Frequency Aggregator | African | Sub | 8976 | C=0.9569 | A=0.0431, T=0.0000 |
| Allele Frequency Aggregator | Latin American 2 | Sub | 7336 | C=0.9412 | A=0.0588, T=0.0000 |
| Allele Frequency Aggregator | Asian | Sub | 6634 | C=0.9068 | A=0.0932, T=0.0000 |
| Allele Frequency Aggregator | Latin American 1 | Sub | 996 | C=0.938 | A=0.062, T=0.000 |
| Allele Frequency Aggregator | South Asian | Sub | 340 | C=0.918 | A=0.082, T=0.000 |
| gnomAD - Genomes | Global | Study-wide | 140070 | C=0.916021 | A=0.083979 |
| gnomAD - Genomes | European | Sub | 75878 | C=0.90287 | A=0.09713 |
| gnomAD - Genomes | African | Sub | 41958 | C=0.93951 | A=0.06049 |
| gnomAD - Genomes | American | Sub | 13646 | C=0.92452 | A=0.07548 |
| gnomAD - Genomes | Ashkenazi Jewish | Sub | 3320 | C=0.9003 | A=0.0997 |
| gnomAD - Genomes | East Asian | Sub | 3128 | C=0.8951 | A=0.1049 |
| gnomAD - Genomes | Other | Sub | 2140 | C=0.9224 | A=0.0776 |
| The PAGE Study | Global | Study-wide | 78698 | C=0.92772 | A=0.07228 |
| The PAGE Study | AfricanAmerican | Sub | 32514 | C=0.94098 | A=0.05902 |
| The PAGE Study | Mexican | Sub | 10810 | C=0.93811 | A=0.06189 |
| The PAGE Study | Asian | Sub | 8316 | C=0.8817 | A=0.1183 |
| The PAGE Study | PuertoRican | Sub | 7918 | C=0.9228 | A=0.0772 |
| The PAGE Study | NativeHawaiian | Sub | 4534 | C=0.9135 | A=0.0865 |
| The PAGE Study | Cuban | Sub | 4230 | C=0.9019 | A=0.0981 |
| The PAGE Study | Dominican | Sub | 3828 | C=0.9339 | A=0.0661 |
| The PAGE Study | CentralAmerican | Sub | 2450 | C=0.9461 | A=0.0539 |
| The PAGE Study | SouthAmerican | Sub | 1982 | C=0.9329 | A=0.0671 |
| The PAGE Study | NativeAmerican | Sub | 1260 | C=0.9270 | A=0.0730 |
| The PAGE Study | SouthAsian | Sub | 856 | C=0.897 | A=0.103 |
| 14KJPN | JAPANESE | Study-wide | 28258 | C=0.87221 | A=0.12779 |
| 8.3KJPN | JAPANESE | Study-wide | 16760 | C=0.87154 | A=0.12846 |
| 1000Genomes_30x | Global | Study-wide | 6404 | C=0.9111 | A=0.0889 |
| 1000Genomes_30x | African | Sub | 1786 | C=0.9490 | A=0.0510 |
| 1000Genomes_30x | Europe | Sub | 1266 | C=0.8594 | A=0.1406 |
| 1000Genomes_30x | South Asian | Sub | 1202 | C=0.9176 | A=0.0824 |
| 1000Genomes_30x | East Asian | Sub | 1170 | C=0.8821 | A=0.1179 |
| 1000Genomes_30x | American | Sub | 980 | C=0.936 | A=0.064 |
| 1000Genomes | Global | Study-wide | 5008 | C=0.9125 | A=0.0875 |
| 1000Genomes | African | Sub | 1322 | C=0.9508 | A=0.0492 |
| 1000Genomes | East Asian | Sub | 1008 | C=0.8810 | A=0.1190 |
| 1000Genomes | Europe | Sub | 1006 | C=0.8708 | A=0.1292 |
| 1000Genomes | South Asian | Sub | 978 | C=0.917 | A=0.083 |
| 1000Genomes | American | Sub | 694 | C=0.939 | A=0.061 |
| Genetic variation in the Estonian population | Estonian | Study-wide | 4480 | C=0.9373 | A=0.0627 |
| The Avon Longitudinal Study of Parents and Children | PARENT AND CHILD COHORT | Study-wide | 3854 | C=0.8983 | A=0.1017 |
| UK 10K study - Twins | TWIN COHORT | Study-wide | 3708 | C=0.8970 | A=0.1030 |
| KOREAN population from KRGDB | KOREAN | Study-wide | 2930 | C=0.8805 | A=0.1195 |
| HapMap | Global | Study-wide | 1892 | C=0.9197 | A=0.0803 |
| HapMap | American | Sub | 770 | C=0.901 | A=0.099 |
| HapMap | African | Sub | 692 | C=0.962 | A=0.038 |
| HapMap | Asian | Sub | 254 | C=0.890 | A=0.110 |
| HapMap | Europe | Sub | 176 | C=0.875 | A=0.125 |
| Genome-wide autozygosity in Daghestan | Global | Study-wide | 1134 | C=0.9109 | A=0.0891 |
| Genome-wide autozygosity in Daghestan | Daghestan | Sub | 628 | C=0.935 | A=0.065 |
| Genome-wide autozygosity in Daghestan | Near_East | Sub | 144 | C=0.882 | A=0.118 |
| Genome-wide autozygosity in Daghestan | Central Asia | Sub | 120 | C=0.925 | A=0.075 |
| Genome-wide autozygosity in Daghestan | Europe | Sub | 108 | C=0.861 | A=0.139 |
| Genome-wide autozygosity in Daghestan | South Asian | Sub | 98 | C=0.84 | A=0.16 |
| Genome-wide autozygosity in Daghestan | Caucasus | Sub | 36 | C=0.92 | A=0.08 |
| Genome of the Netherlands Release 5 | Genome of the Netherlands | Study-wide | 998 | C=0.884 | A=0.116 |
| CNV burdens in cranial meningiomas | Global | Study-wide | 790 | C=0.928 | A=0.072 |
| CNV burdens in cranial meningiomas | CRM | Sub | 790 | C=0.928 | A=0.072 |
| Chileans | Chilean | Study-wide | 626 | C=0.933 | A=0.067 |
| Northern Sweden | ACPOP | Study-wide | 600 | C=0.922 | A=0.078 |
| Qatari | Global | Study-wide | 216 | C=0.935 | A=0.065 |
| A Vietnamese Genetic Variation Database | Global | Study-wide | 212 | C=0.920 | A=0.080 |
| SGDP_PRJ | Global | Study-wide | 76 | C=0.47 | A=0.53 |
| Ancient Sardinia genome-wide 1240k capture data generation and analysis | Global | Study-wide | 60 | C=0.87 | A=0.13 |
| The Danish reference pan genome | Danish | Study-wide | 40 | C=0.90 | A=0.10 |
| Siberian | Global | Study-wide | 6 | C=0.5 | A=0.5 |
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 8 | NC_000008.11:g.19990179C>A |
| GRCh38.p14 chr 8 | NC_000008.11:g.19990179C>T |
| GRCh37.p13 chr 8 | NC_000008.10:g.19847690C>A |
| GRCh37.p13 chr 8 | NC_000008.10:g.19847690C>T |
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.
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 | C= | A | T |
|---|---|---|---|
| GRCh38.p14 chr 8 | NC_000008.11:g.19990179= | NC_000008.11:g.19990179C>A | NC_000008.11:g.19990179C>T |
| GRCh37.p13 chr 8 | NC_000008.10:g.19847690= | NC_000008.10:g.19847690C>A | NC_000008.10:g.19847690C>T |
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 | PERLEGEN | ss14897384 | Dec 05, 2003 (119) |
| 2 | PERLEGEN | ss24648983 | Sep 20, 2004 (123) |
| 3 | AFFY | ss65972400 | Nov 30, 2006 (127) |
| 4 | AFFY | ss66508871 | Jul 19, 2016 (147) |
| 5 | AFFY | ss76331657 | Jul 19, 2016 (147) |
| 6 | KRIBB_YJKIM | ss82736157 | Dec 14, 2007 (130) |
| 7 | ILLUMINA | ss159904402 | Dec 01, 2009 (131) |
| 8 | AFFY | ss173288889 | Jul 19, 2016 (147) |
| 9 | PAGE_STUDY | ss181835955 | Jul 04, 2010 (132) |
| 10 | 1000GENOMES | ss223585845 | Jul 14, 2010 (132) |
| 11 | 1000GENOMES | ss234352611 | Jul 15, 2010 (132) |
| 12 | 1000GENOMES | ss241227401 | Jul 15, 2010 (132) |
| 13 | ILLUMINA | ss244269383 | Jul 04, 2010 (132) |
| 14 | BL | ss254171719 | May 09, 2011 (134) |
| 15 | GMI | ss279724127 | May 04, 2012 (137) |
| 16 | ILLUMINA | ss410878725 | Sep 17, 2011 (135) |
| 17 | ILLUMINA | ss479683470 | Sep 08, 2015 (146) |
| 18 | EXOME_CHIP | ss491410910 | May 04, 2012 (137) |
| 19 | SSMP | ss655035750 | Apr 25, 2013 (138) |
| 20 | ILLUMINA | ss780680553 | Sep 08, 2015 (146) |
| 21 | ILLUMINA | ss783353832 | Sep 08, 2015 (146) |
| 22 | EVA-GONL | ss985272953 | Aug 21, 2014 (142) |
| 23 | JMKIDD_LAB | ss1075340300 | Aug 21, 2014 (142) |
| 24 | 1000GENOMES | ss1328916333 | Aug 21, 2014 (142) |
| 25 | HAMMER_LAB | ss1397520234 | Sep 08, 2015 (146) |
| 26 | EVA_GENOME_DK | ss1582593880 | Apr 01, 2015 (144) |
| 27 | EVA_DECODE | ss1594862606 | Apr 01, 2015 (144) |
| 28 | EVA_UK10K_ALSPAC | ss1620134367 | Apr 01, 2015 (144) |
| 29 | EVA_UK10K_TWINSUK | ss1663128400 | Apr 01, 2015 (144) |
| 30 | EVA_SVP | ss1713021136 | Apr 01, 2015 (144) |
| 31 | ILLUMINA | ss1752723274 | Sep 08, 2015 (146) |
| 32 | ILLUMINA | ss1917826338 | Feb 12, 2016 (147) |
| 33 | WEILL_CORNELL_DGM | ss1928562708 | Feb 12, 2016 (147) |
| 34 | ILLUMINA | ss1946231564 | Feb 12, 2016 (147) |
| 35 | ILLUMINA | ss1959093976 | Feb 12, 2016 (147) |
| 36 | JJLAB | ss2024980733 | Sep 14, 2016 (149) |
| 37 | ILLUMINA | ss2094832986 | Dec 20, 2016 (150) |
| 38 | ILLUMINA | ss2095209258 | Dec 20, 2016 (150) |
| 39 | USC_VALOUEV | ss2153202174 | Dec 20, 2016 (150) |
| 40 | HUMAN_LONGEVITY | ss2301290486 | Dec 20, 2016 (150) |
| 41 | ILLUMINA | ss2634720528 | Nov 08, 2017 (151) |
| 42 | ILLUMINA | ss2634720529 | Nov 08, 2017 (151) |
| 43 | GRF | ss2708962677 | Nov 08, 2017 (151) |
| 44 | GNOMAD | ss2864096115 | Nov 08, 2017 (151) |
| 45 | AFFY | ss2985433076 | Nov 08, 2017 (151) |
| 46 | AFFY | ss2986076295 | Nov 08, 2017 (151) |
| 47 | SWEGEN | ss3002804885 | Nov 08, 2017 (151) |
| 48 | ILLUMINA | ss3022826171 | Nov 08, 2017 (151) |
| 49 | CSHL | ss3348082160 | Nov 08, 2017 (151) |
| 50 | ILLUMINA | ss3630013756 | Oct 12, 2018 (152) |
| 51 | ILLUMINA | ss3635162211 | Oct 12, 2018 (152) |
| 52 | ILLUMINA | ss3636899282 | Oct 12, 2018 (152) |
| 53 | ILLUMINA | ss3640869501 | Oct 12, 2018 (152) |
| 54 | ILLUMINA | ss3644964737 | Oct 12, 2018 (152) |
| 55 | BIOINF_KMB_FNS_UNIBA | ss3646082971 | Oct 12, 2018 (152) |
| 56 | ILLUMINA | ss3653367135 | Oct 12, 2018 (152) |
| 57 | ILLUMINA | ss3653367136 | Oct 12, 2018 (152) |
| 58 | ILLUMINA | ss3654194891 | Oct 12, 2018 (152) |
| 59 | EGCUT_WGS | ss3670484933 | Jul 13, 2019 (153) |
| 60 | EVA_DECODE | ss3721556026 | Jul 13, 2019 (153) |
| 61 | ILLUMINA | ss3726520433 | Jul 13, 2019 (153) |
| 62 | ACPOP | ss3735467313 | Jul 13, 2019 (153) |
| 63 | ILLUMINA | ss3744577769 | Jul 13, 2019 (153) |
| 64 | ILLUMINA | ss3745461992 | Jul 13, 2019 (153) |
| 65 | EVA | ss3767718093 | Jul 13, 2019 (153) |
| 66 | PAGE_CC | ss3771428757 | Jul 13, 2019 (153) |
| 67 | ILLUMINA | ss3772954585 | Jul 13, 2019 (153) |
| 68 | PACBIO | ss3786087450 | Jul 13, 2019 (153) |
| 69 | PACBIO | ss3791353851 | Jul 13, 2019 (153) |
| 70 | PACBIO | ss3796235021 | Jul 13, 2019 (153) |
| 71 | KHV_HUMAN_GENOMES | ss3810881623 | Jul 13, 2019 (153) |
| 72 | EVA | ss3831055084 | Apr 26, 2020 (154) |
| 73 | SGDP_PRJ | ss3869437287 | Apr 26, 2020 (154) |
| 74 | KRGDB | ss3916863133 | Apr 26, 2020 (154) |
| 75 | EVA | ss3984602277 | Apr 27, 2021 (155) |
| 76 | EVA | ss3985347148 | Apr 27, 2021 (155) |
| 77 | TOPMED | ss4778102609 | Apr 27, 2021 (155) |
| 78 | TOMMO_GENOMICS | ss5187655615 | Apr 27, 2021 (155) |
| 79 | EVA | ss5237438141 | Apr 27, 2021 (155) |
| 80 | 1000G_HIGH_COVERAGE | ss5276331203 | Oct 14, 2022 (156) |
| 81 | EVA | ss5315316870 | Oct 14, 2022 (156) |
| 82 | EVA | ss5379644062 | Oct 14, 2022 (156) |
| 83 | HUGCELL_USP | ss5472981797 | Oct 14, 2022 (156) |
| 84 | EVA | ss5509275604 | Oct 14, 2022 (156) |
| 85 | 1000G_HIGH_COVERAGE | ss5566255555 | Oct 14, 2022 (156) |
| 86 | SANFORD_IMAGENETICS | ss5624688026 | Oct 14, 2022 (156) |
| 87 | SANFORD_IMAGENETICS | ss5644924467 | Oct 14, 2022 (156) |
| 88 | TOMMO_GENOMICS | ss5729272573 | Oct 14, 2022 (156) |
| 89 | YY_MCH | ss5809516962 | Oct 14, 2022 (156) |
| 90 | EVA | ss5830224859 | Oct 14, 2022 (156) |
| 91 | EVA | ss5847335314 | Oct 14, 2022 (156) |
| 92 | EVA | ss5856287203 | Oct 14, 2022 (156) |
| 93 | EVA | ss5888022708 | Oct 14, 2022 (156) |
| 94 | EVA | ss5974104983 | Oct 14, 2022 (156) |
| 95 | EVA | ss5979856522 | Oct 14, 2022 (156) |
| 96 | 1000Genomes | NC_000008.10 - 19847690 | Oct 12, 2018 (152) |
| 97 | 1000Genomes_30x | NC_000008.11 - 19990179 | Oct 14, 2022 (156) |
| 98 | The Avon Longitudinal Study of Parents and Children | NC_000008.10 - 19847690 | Oct 12, 2018 (152) |
| 99 | Chileans | NC_000008.10 - 19847690 | Apr 26, 2020 (154) |
| 100 | Genome-wide autozygosity in Daghestan | NC_000008.9 - 19891970 | Apr 26, 2020 (154) |
| 101 | Genetic variation in the Estonian population | NC_000008.10 - 19847690 | Oct 12, 2018 (152) |
| 102 | The Danish reference pan genome | NC_000008.10 - 19847690 | Apr 26, 2020 (154) |
| 103 | gnomAD - Genomes | NC_000008.11 - 19990179 | Apr 27, 2021 (155) |
| 104 | Genome of the Netherlands Release 5 | NC_000008.10 - 19847690 | Apr 26, 2020 (154) |
| 105 | HapMap | NC_000008.11 - 19990179 | Apr 26, 2020 (154) |
| 106 | KOREAN population from KRGDB | NC_000008.10 - 19847690 | Apr 26, 2020 (154) |
| 107 | Northern Sweden | NC_000008.10 - 19847690 | Jul 13, 2019 (153) |
| 108 | The PAGE Study | NC_000008.11 - 19990179 | Jul 13, 2019 (153) |
| 109 | Ancient Sardinia genome-wide 1240k capture data generation and analysis | NC_000008.10 - 19847690 | Apr 27, 2021 (155) |
| 110 | CNV burdens in cranial meningiomas | NC_000008.10 - 19847690 | Apr 27, 2021 (155) |
| 111 | Qatari | NC_000008.10 - 19847690 | Apr 26, 2020 (154) |
| 112 | SGDP_PRJ | NC_000008.10 - 19847690 | Apr 26, 2020 (154) |
| 113 | Siberian | NC_000008.10 - 19847690 | Apr 26, 2020 (154) |
| 114 | 8.3KJPN | NC_000008.10 - 19847690 | Apr 27, 2021 (155) |
| 115 | 14KJPN | NC_000008.11 - 19990179 | Oct 14, 2022 (156) |
| 116 | TopMed | NC_000008.11 - 19990179 | Apr 27, 2021 (155) |
| 117 | UK 10K study - Twins | NC_000008.10 - 19847690 | Oct 12, 2018 (152) |
| 118 | A Vietnamese Genetic Variation Database | NC_000008.10 - 19847690 | Jul 13, 2019 (153) |
| 119 | ALFA | NC_000008.11 - 19990179 | Apr 27, 2021 (155) |
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) |
|---|---|
| rs17489178 | Oct 08, 2004 (123) |
| rs57961752 | Feb 27, 2009 (130) |
| rs111193475 | Aug 21, 2014 (142) |
| Submission IDs | Observation SPDI | Canonical SPDI | Source RSIDs |
|---|---|---|---|
| 494128, ss254171719, ss279724127, ss1397520234, ss1594862606, ss1713021136 | NC_000008.9:19891969:C:A | NC_000008.11:19990178:C:A | (self) |
| 41011117, 22797806, 429658, 16223181, 8758818, 10187266, 24040527, 8752178, 573075, 151713, 10604638, 21454267, 5718528, 45624922, 22797806, 5083612, ss223585845, ss234352611, ss241227401, ss479683470, ss491410910, ss655035750, ss780680553, ss783353832, ss985272953, ss1075340300, ss1328916333, ss1582593880, ss1620134367, ss1663128400, ss1752723274, ss1917826338, ss1928562708, ss1946231564, ss1959093976, ss2024980733, ss2094832986, ss2095209258, ss2153202174, ss2634720528, ss2634720529, ss2708962677, ss2864096115, ss2985433076, ss2986076295, ss3002804885, ss3022826171, ss3348082160, ss3630013756, ss3635162211, ss3636899282, ss3640869501, ss3644964737, ss3653367135, ss3653367136, ss3654194891, ss3670484933, ss3735467313, ss3744577769, ss3745461992, ss3767718093, ss3772954585, ss3786087450, ss3791353851, ss3796235021, ss3831055084, ss3869437287, ss3916863133, ss3984602277, ss3985347148, ss5187655615, ss5237438141, ss5315316870, ss5379644062, ss5509275604, ss5624688026, ss5644924467, ss5830224859, ss5847335314, ss5974104983, ss5979856522 | NC_000008.10:19847689:C:A | NC_000008.11:19990178:C:A | (self) |
| 53781490, 289203003, 3581086, 650226, 63109677, 615480169, 3243056783, ss2301290486, ss3646082971, ss3721556026, ss3726520433, ss3771428757, ss3810881623, ss4778102609, ss5276331203, ss5472981797, ss5566255555, ss5729272573, ss5809516962, ss5856287203, ss5888022708 | NC_000008.11:19990178:C:A | NC_000008.11:19990178:C:A | (self) |
| ss14897384, ss24648983, ss65972400, ss82736157, ss159904402, ss181835955, ss244269383, ss410878725 | NT_167187.1:7705835:C:A | NC_000008.11:19990178:C:A | (self) |
| ss66508871, ss76331657, ss173288889 | NT_167187.2:7705833:C:A | NC_000008.11:19990178:C:A | (self) |
| 3243056783 | NC_000008.11:19990178:C:T | NC_000008.11:19990178:C:T | (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 |
|---|---|---|---|---|
| 17903299 | A genome-wide association study for blood lipid phenotypes in the Framingham Heart Study. | Kathiresan S et al. | 2007 | BMC medical genetics |
| 18852197 | Metabolic and cardiovascular traits: an abundance of recently identified common genetic variants. | Mohlke KL et al. | 2008 | Human molecular genetics |
| 19041386 | Genetic-epidemiological evidence on genes associated with HDL cholesterol levels: a systematic in-depth review. | Boes E et al. | 2009 | Experimental gerontology |
| 19161620 | An open access database of genome-wide association results. | Johnson AD et al. | 2009 | BMC medical genetics |
| 19197348 | Genome-wide association studies in an isolated founder population from the Pacific Island of Kosrae. | Lowe JK et al. | 2009 | PLoS genetics |
| 19474294 | Potential etiologic and functional implications of genome-wide association loci for human diseases and traits. | Hindorff LA et al. | 2009 | Proceedings of the National Academy of Sciences of the United States of America |
| 19656773 | A polygenic basis for four classical Fredrickson hyperlipoproteinemia phenotypes that are characterized by hypertriglyceridemia. | Hegele RA et al. | 2009 | Human molecular genetics |
| 20018038 | Evaluation of genetic risk scores for lipid levels using genome-wide markers in the Framingham Heart Study. | Piccolo SR et al. | 2009 | BMC proceedings |
| 20370913 | Genome-wide association analysis of total cholesterol and high-density lipoprotein cholesterol levels using the Framingham heart study data. | Ma L et al. | 2010 | BMC medical genetics |
| 20421590 | Genetic causes of high and low serum HDL-cholesterol. | Weissglas-Volkov D et al. | 2010 | Journal of lipid research |
| 21347282 | Genome-wide association study of coronary heart disease and its risk factors in 8,090 African Americans: the NHLBI CARe Project. | Lettre G 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 |
| 21995669 | A genome-wide survey for SNPs altering microRNA seed sites identifies functional candidates in GWAS. | Richardson K et al. | 2011 | BMC genomics |
| 22629316 | Multi-ethnic analysis of lipid-associated loci: the NHLBI CARe project. | Musunuru K et al. | 2012 | PloS one |
| 23105935 | Interaction Effects of Lipoprotein Lipase Polymorphisms with Lifestyle on Lipid Levels in a Korean Population: A Cross-sectional Study. | Pyun JA et al. | 2012 | Genomics & informatics |
| 23150898 | Evaluation of seven common lipid associated loci in a large Indian sib pair study. | Rafiq S et al. | 2012 | Lipids in health and disease |
| 23902956 | A lipoprotein lipase gene polymorphism interacts with consumption of alcohol and unsaturated fat to modulate serum HDL-cholesterol concentrations. | Baik I et al. | 2013 | The Journal of nutrition |
| 24178511 | Gene-centric association signals for haemostasis and thrombosis traits identified with the HumanCVD BeadChip. | Gaunt TR et al. | 2013 | Thrombosis and haemostasis |
| 24991929 | Association of common genetic variants with lipid traits in the Indian population. | Walia GK et al. | 2014 | PloS one |
| 25626708 | Resequencing of LPL in African Blacks and associations with lipoprotein-lipid levels. | Pirim D et al. | 2015 | European journal of human genetics |
| 28577571 | Genetic determinants of inherited susceptibility to hypercholesterolemia - a comprehensive literature review. | Paththinige CS et al. | 2017 | Lipids in health and disease |
| 28639428 | Relationship between pancreatic intraepithelial neoplasias, pancreatic ductal adenocarcinomas, and single nucleotide polymorphisms in autopsied elderly patients. | Matsuda Y et al. | 2018 | Genes, chromosomes & cancer |
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.