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.
rs7578326
Current Build 156
Released September 21, 2022
- Organism
- Homo sapiens
- Position
-
chr2:226155937 (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
- A>G
- Variation Type
- SNV Single Nucleotide Variation
- Frequency
-
G=0.342813 (93265/272058, ALFA)G=0.351090 (92930/264690, TOPMED)G=0.360133 (50410/139976, GnomAD) (+ 22 more)
- Clinical Significance
- Not Reported in ClinVar
- Gene : Consequence
- LOC646736 : Intron Variant
- Publications
- 25 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.
Release Version: 20230706150541
| Population | Group | Sample Size | Ref Allele | Alt Allele |
|---|---|---|---|---|
| Total | Global | 275990 | A=0.657078 | G=0.342922 |
| European | Sub | 231486 | A=0.646972 | G=0.353028 |
| African | Sub | 10766 | A=0.58443 | G=0.41557 |
| African Others | Sub | 384 | A=0.578 | G=0.422 |
| African American | Sub | 10382 | A=0.58467 | G=0.41533 |
| Asian | Sub | 6716 | A=0.8538 | G=0.1462 |
| East Asian | Sub | 4842 | A=0.8447 | G=0.1553 |
| Other Asian | Sub | 1874 | A=0.8773 | G=0.1227 |
| Latin American 1 | Sub | 992 | A=0.614 | G=0.386 |
| Latin American 2 | Sub | 5946 | A=0.7620 | G=0.2380 |
| South Asian | Sub | 5220 | A=0.7617 | G=0.2383 |
| Other | Sub | 14864 | A=0.70237 | G=0.29763 |
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 |
|---|---|---|---|---|---|
| Allele Frequency Aggregator | Total | Global | 272058 | A=0.657187 | G=0.342813 |
| Allele Frequency Aggregator | European | Sub | 227794 | A=0.647006 | G=0.352994 |
| Allele Frequency Aggregator | Other | Sub | 14640 | A=0.70205 | G=0.29795 |
| Allele Frequency Aggregator | African | Sub | 10750 | A=0.58428 | G=0.41572 |
| Allele Frequency Aggregator | Asian | Sub | 6716 | A=0.8538 | G=0.1462 |
| Allele Frequency Aggregator | Latin American 2 | Sub | 5946 | A=0.7620 | G=0.2380 |
| Allele Frequency Aggregator | South Asian | Sub | 5220 | A=0.7617 | G=0.2383 |
| Allele Frequency Aggregator | Latin American 1 | Sub | 992 | A=0.614 | G=0.386 |
| TopMed | Global | Study-wide | 264690 | A=0.648910 | G=0.351090 |
| gnomAD - Genomes | Global | Study-wide | 139976 | A=0.639867 | G=0.360133 |
| gnomAD - Genomes | European | Sub | 75824 | A=0.64881 | G=0.35119 |
| gnomAD - Genomes | African | Sub | 41934 | A=0.58561 | G=0.41439 |
| gnomAD - Genomes | American | Sub | 13624 | A=0.68629 | G=0.31371 |
| gnomAD - Genomes | Ashkenazi Jewish | Sub | 3322 | A=0.7128 | G=0.2872 |
| gnomAD - Genomes | East Asian | Sub | 3126 | A=0.8525 | G=0.1475 |
| gnomAD - Genomes | Other | Sub | 2146 | A=0.6668 | G=0.3332 |
| The PAGE Study | Global | Study-wide | 78698 | A=0.67378 | G=0.32622 |
| The PAGE Study | AfricanAmerican | Sub | 32512 | A=0.58760 | G=0.41240 |
| The PAGE Study | Mexican | Sub | 10810 | A=0.75079 | G=0.24921 |
| The PAGE Study | Asian | Sub | 8318 | A=0.8093 | G=0.1907 |
| The PAGE Study | PuertoRican | Sub | 7918 | A=0.6653 | G=0.3347 |
| The PAGE Study | NativeHawaiian | Sub | 4534 | A=0.8421 | G=0.1579 |
| The PAGE Study | Cuban | Sub | 4230 | A=0.6530 | G=0.3470 |
| The PAGE Study | Dominican | Sub | 3828 | A=0.6421 | G=0.3579 |
| The PAGE Study | CentralAmerican | Sub | 2450 | A=0.7302 | G=0.2698 |
| The PAGE Study | SouthAmerican | Sub | 1982 | A=0.7482 | G=0.2518 |
| The PAGE Study | NativeAmerican | Sub | 1260 | A=0.6587 | G=0.3413 |
| The PAGE Study | SouthAsian | Sub | 856 | A=0.777 | G=0.223 |
| 14KJPN | JAPANESE | Study-wide | 28256 | A=0.77870 | G=0.22130 |
| 8.3KJPN | JAPANESE | Study-wide | 16760 | A=0.78019 | G=0.21981 |
| 1000Genomes_30x | Global | Study-wide | 6404 | A=0.7099 | G=0.2901 |
| 1000Genomes_30x | African | Sub | 1786 | A=0.5862 | G=0.4138 |
| 1000Genomes_30x | Europe | Sub | 1266 | A=0.6382 | G=0.3618 |
| 1000Genomes_30x | South Asian | Sub | 1202 | A=0.8211 | G=0.1789 |
| 1000Genomes_30x | East Asian | Sub | 1170 | A=0.8419 | G=0.1581 |
| 1000Genomes_30x | American | Sub | 980 | A=0.734 | G=0.266 |
| 1000Genomes | Global | Study-wide | 5008 | A=0.7145 | G=0.2855 |
| 1000Genomes | African | Sub | 1322 | A=0.5885 | G=0.4115 |
| 1000Genomes | East Asian | Sub | 1008 | A=0.8433 | G=0.1567 |
| 1000Genomes | Europe | Sub | 1006 | A=0.6461 | G=0.3539 |
| 1000Genomes | South Asian | Sub | 978 | A=0.817 | G=0.183 |
| 1000Genomes | American | Sub | 694 | A=0.722 | G=0.278 |
| Genetic variation in the Estonian population | Estonian | Study-wide | 4480 | A=0.6522 | G=0.3478 |
| The Avon Longitudinal Study of Parents and Children | PARENT AND CHILD COHORT | Study-wide | 3854 | A=0.6492 | G=0.3508 |
| UK 10K study - Twins | TWIN COHORT | Study-wide | 3708 | A=0.6548 | G=0.3452 |
| KOREAN population from KRGDB | KOREAN | Study-wide | 2930 | A=0.8300 | G=0.1700 |
| HGDP-CEPH-db Supplement 1 | Global | Study-wide | 2084 | A=0.7207 | G=0.2793 |
| HGDP-CEPH-db Supplement 1 | Est_Asia | Sub | 470 | A=0.817 | G=0.183 |
| HGDP-CEPH-db Supplement 1 | Central_South_Asia | Sub | 414 | A=0.758 | G=0.242 |
| HGDP-CEPH-db Supplement 1 | Middle_Est | Sub | 350 | A=0.594 | G=0.406 |
| HGDP-CEPH-db Supplement 1 | Europe | Sub | 320 | A=0.628 | G=0.372 |
| HGDP-CEPH-db Supplement 1 | Africa | Sub | 242 | A=0.599 | G=0.401 |
| HGDP-CEPH-db Supplement 1 | America | Sub | 216 | A=0.838 | G=0.162 |
| HGDP-CEPH-db Supplement 1 | Oceania | Sub | 72 | A=0.96 | G=0.04 |
| HapMap | Global | Study-wide | 1892 | A=0.7072 | G=0.2928 |
| HapMap | American | Sub | 770 | A=0.758 | G=0.242 |
| HapMap | African | Sub | 692 | A=0.621 | G=0.379 |
| HapMap | Asian | Sub | 254 | A=0.839 | G=0.161 |
| HapMap | Europe | Sub | 176 | A=0.631 | G=0.369 |
| Korean Genome Project | KOREAN | Study-wide | 1832 | A=0.8215 | G=0.1785 |
| Genome-wide autozygosity in Daghestan | Global | Study-wide | 1136 | A=0.6928 | G=0.3072 |
| Genome-wide autozygosity in Daghestan | Daghestan | Sub | 628 | A=0.669 | G=0.331 |
| Genome-wide autozygosity in Daghestan | Near_East | Sub | 144 | A=0.708 | G=0.292 |
| Genome-wide autozygosity in Daghestan | Central Asia | Sub | 122 | A=0.721 | G=0.279 |
| Genome-wide autozygosity in Daghestan | Europe | Sub | 108 | A=0.685 | G=0.315 |
| Genome-wide autozygosity in Daghestan | South Asian | Sub | 98 | A=0.84 | G=0.16 |
| Genome-wide autozygosity in Daghestan | Caucasus | Sub | 36 | A=0.58 | G=0.42 |
| Genome of the Netherlands Release 5 | Genome of the Netherlands | Study-wide | 998 | A=0.645 | G=0.355 |
| CNV burdens in cranial meningiomas | Global | Study-wide | 790 | A=0.856 | G=0.144 |
| CNV burdens in cranial meningiomas | CRM | Sub | 790 | A=0.856 | G=0.144 |
| Northern Sweden | ACPOP | Study-wide | 600 | A=0.597 | G=0.403 |
| SGDP_PRJ | Global | Study-wide | 238 | A=0.445 | G=0.555 |
| Qatari | Global | Study-wide | 216 | A=0.681 | G=0.319 |
| A Vietnamese Genetic Variation Database | Global | Study-wide | 214 | A=0.869 | G=0.131 |
| Ancient Sardinia genome-wide 1240k capture data generation and analysis | Global | Study-wide | 82 | A=0.59 | G=0.41 |
| The Danish reference pan genome | Danish | Study-wide | 40 | A=0.80 | G=0.20 |
| Siberian | Global | Study-wide | 28 | A=0.43 | G=0.57 |
Help
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.
Genomic Placements
| Sequence name | Change |
|---|---|
| GRCh38.p14 chr 2 | NC_000002.12:g.226155937A>G |
| GRCh37.p13 chr 2 | NC_000002.11:g.227020653A>G |
Gene: LOC646736, uncharacterized LOC646736
(plus strand)
| Molecule type | Change | Amino acid[Codon] | SO Term |
|---|---|---|---|
| LOC646736 transcript | NR_046102.1:n. | N/A | Intron Variant |
Help
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.
Not Reported in ClinVar
Help
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 | A= | G |
|---|---|---|
| GRCh38.p14 chr 2 | NC_000002.12:g.226155937= | NC_000002.12:g.226155937A>G |
| GRCh37.p13 chr 2 | NC_000002.11:g.227020653= | NC_000002.11:g.227020653A>G |
Help
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#.
122 SubSNP,
25 Frequency
submissions
| No | Submitter | Submission ID | Date (Build) |
|---|---|---|---|
| 1 | WI_SSAHASNP | ss11471892 | Jul 11, 2003 (116) |
| 2 | ILLUMINA | ss70935109 | May 25, 2008 (130) |
| 3 | ILLUMINA | ss71537639 | May 17, 2007 (127) |
| 4 | ILLUMINA | ss75696253 | Dec 07, 2007 (129) |
| 5 | HGSV | ss78131151 | Dec 07, 2007 (129) |
| 6 | ILLUMINA | ss79261463 | Dec 15, 2007 (130) |
| 7 | BCMHGSC_JDW | ss91570848 | Mar 24, 2008 (129) |
| 8 | 1000GENOMES | ss110872489 | Jan 25, 2009 (130) |
| 9 | ILLUMINA | ss122783322 | Dec 01, 2009 (131) |
| 10 | ENSEMBL | ss138642141 | Dec 01, 2009 (131) |
| 11 | ILLUMINA | ss154431689 | Dec 01, 2009 (131) |
| 12 | GMI | ss154799728 | Dec 01, 2009 (131) |
| 13 | ILLUMINA | ss159606774 | Dec 01, 2009 (131) |
| 14 | ILLUMINA | ss160890857 | Dec 01, 2009 (131) |
| 15 | COMPLETE_GENOMICS | ss165939370 | Jul 04, 2010 (132) |
| 16 | ILLUMINA | ss172310059 | Jul 04, 2010 (132) |
| 17 | ILLUMINA | ss174429488 | Jul 04, 2010 (132) |
| 18 | BUSHMAN | ss201824338 | Jul 04, 2010 (132) |
| 19 | BCM-HGSC-SUB | ss205751696 | Jul 04, 2010 (132) |
| 20 | 1000GENOMES | ss211097378 | Jul 14, 2010 (132) |
| 21 | 1000GENOMES | ss219850658 | Jul 14, 2010 (132) |
| 22 | 1000GENOMES | ss231612749 | Jul 14, 2010 (132) |
| 23 | 1000GENOMES | ss239065814 | Jul 15, 2010 (132) |
| 24 | BL | ss253910085 | May 09, 2011 (134) |
| 25 | GMI | ss276922812 | May 04, 2012 (137) |
| 26 | PJP | ss292500859 | May 09, 2011 (134) |
| 27 | ILLUMINA | ss410950017 | Sep 17, 2011 (135) |
| 28 | ILLUMINA | ss480237660 | May 04, 2012 (137) |
| 29 | ILLUMINA | ss482601422 | Sep 08, 2015 (146) |
| 30 | ILLUMINA | ss484026005 | May 04, 2012 (137) |
| 31 | EXOME_CHIP | ss491332320 | May 04, 2012 (137) |
| 32 | ILLUMINA | ss533625124 | Sep 08, 2015 (146) |
| 33 | TISHKOFF | ss556267116 | Apr 25, 2013 (138) |
| 34 | SSMP | ss649929302 | Apr 25, 2013 (138) |
| 35 | ILLUMINA | ss779727085 | Sep 08, 2015 (146) |
| 36 | ILLUMINA | ss780686621 | Sep 08, 2015 (146) |
| 37 | ILLUMINA | ss781181210 | Sep 08, 2015 (146) |
| 38 | ILLUMINA | ss783360147 | Sep 08, 2015 (146) |
| 39 | ILLUMINA | ss825591981 | Apr 01, 2015 (144) |
| 40 | ILLUMINA | ss833117756 | Jul 13, 2019 (153) |
| 41 | ILLUMINA | ss835201743 | Sep 08, 2015 (146) |
| 42 | EVA-GONL | ss978029330 | Aug 21, 2014 (142) |
| 43 | JMKIDD_LAB | ss1069993005 | Aug 21, 2014 (142) |
| 44 | 1000GENOMES | ss1301911713 | Aug 21, 2014 (142) |
| 45 | HAMMER_LAB | ss1397322268 | Sep 08, 2015 (146) |
| 46 | DDI | ss1428932182 | Apr 01, 2015 (144) |
| 47 | EVA_GENOME_DK | ss1579350112 | Apr 01, 2015 (144) |
| 48 | EVA_DECODE | ss1587487545 | Apr 01, 2015 (144) |
| 49 | EVA_UK10K_ALSPAC | ss1605938309 | Apr 01, 2015 (144) |
| 50 | EVA_UK10K_TWINSUK | ss1648932342 | Apr 01, 2015 (144) |
| 51 | EVA_SVP | ss1712535895 | Apr 01, 2015 (144) |
| 52 | ILLUMINA | ss1752342166 | Sep 08, 2015 (146) |
| 53 | HAMMER_LAB | ss1798471148 | Sep 08, 2015 (146) |
| 54 | ILLUMINA | ss1917760715 | Feb 12, 2016 (147) |
| 55 | WEILL_CORNELL_DGM | ss1921274844 | Feb 12, 2016 (147) |
| 56 | ILLUMINA | ss1946068318 | Feb 12, 2016 (147) |
| 57 | ILLUMINA | ss1958511754 | Feb 12, 2016 (147) |
| 58 | GENOMED | ss1969042183 | Jul 19, 2016 (147) |
| 59 | JJLAB | ss2021185627 | Sep 14, 2016 (149) |
| 60 | USC_VALOUEV | ss2149249975 | Dec 20, 2016 (150) |
| 61 | HUMAN_LONGEVITY | ss2239711874 | Dec 20, 2016 (150) |
| 62 | ILLUMINA | ss2633748159 | Nov 08, 2017 (151) |
| 63 | GRF | ss2703899865 | Nov 08, 2017 (151) |
| 64 | GNOMAD | ss2787082433 | Nov 08, 2017 (151) |
| 65 | AFFY | ss2985201936 | Nov 08, 2017 (151) |
| 66 | AFFY | ss2985823393 | Nov 08, 2017 (151) |
| 67 | SWEGEN | ss2991465080 | Nov 08, 2017 (151) |
| 68 | ILLUMINA | ss3022076416 | Nov 08, 2017 (151) |
| 69 | BIOINF_KMB_FNS_UNIBA | ss3024351995 | Nov 08, 2017 (151) |
| 70 | CSHL | ss3344770970 | Nov 08, 2017 (151) |
| 71 | ILLUMINA | ss3628301448 | Oct 11, 2018 (152) |
| 72 | ILLUMINA | ss3628301449 | Oct 11, 2018 (152) |
| 73 | ILLUMINA | ss3631707722 | Oct 11, 2018 (152) |
| 74 | ILLUMINA | ss3634815372 | Oct 11, 2018 (152) |
| 75 | ILLUMINA | ss3636505267 | Oct 11, 2018 (152) |
| 76 | ILLUMINA | ss3638322421 | Oct 11, 2018 (152) |
| 77 | ILLUMINA | ss3640522671 | Oct 11, 2018 (152) |
| 78 | ILLUMINA | ss3642159116 | Oct 11, 2018 (152) |
| 79 | ILLUMINA | ss3643286774 | Oct 11, 2018 (152) |
| 80 | ILLUMINA | ss3644771001 | Oct 11, 2018 (152) |
| 81 | ILLUMINA | ss3652527859 | Oct 11, 2018 (152) |
| 82 | ILLUMINA | ss3653969822 | Oct 11, 2018 (152) |
| 83 | EGCUT_WGS | ss3659364079 | Jul 13, 2019 (153) |
| 84 | EVA_DECODE | ss3706154666 | Jul 13, 2019 (153) |
| 85 | ILLUMINA | ss3725878836 | Jul 13, 2019 (153) |
| 86 | ACPOP | ss3729429645 | Jul 13, 2019 (153) |
| 87 | ILLUMINA | ss3744488038 | Jul 13, 2019 (153) |
| 88 | ILLUMINA | ss3745115268 | Jul 13, 2019 (153) |
| 89 | EVA | ss3758166358 | Jul 13, 2019 (153) |
| 90 | PAGE_CC | ss3770991310 | Jul 13, 2019 (153) |
| 91 | ILLUMINA | ss3772611664 | Jul 13, 2019 (153) |
| 92 | PACBIO | ss3784172441 | Jul 13, 2019 (153) |
| 93 | PACBIO | ss3789707709 | Jul 13, 2019 (153) |
| 94 | PACBIO | ss3794580963 | Jul 13, 2019 (153) |
| 95 | KHV_HUMAN_GENOMES | ss3802529151 | Jul 13, 2019 (153) |
| 96 | EVA | ss3827540104 | Apr 25, 2020 (154) |
| 97 | EVA | ss3837190069 | Apr 25, 2020 (154) |
| 98 | EVA | ss3842612341 | Apr 25, 2020 (154) |
| 99 | HGDP | ss3847653169 | Apr 25, 2020 (154) |
| 100 | SGDP_PRJ | ss3854733443 | Apr 25, 2020 (154) |
| 101 | KRGDB | ss3900466244 | Apr 25, 2020 (154) |
| 102 | KOGIC | ss3950217657 | Apr 25, 2020 (154) |
| 103 | EVA | ss3984498988 | Apr 26, 2021 (155) |
| 104 | EVA | ss3984958030 | Apr 26, 2021 (155) |
| 105 | EVA | ss4017052824 | Apr 26, 2021 (155) |
| 106 | TOPMED | ss4546968668 | Apr 26, 2021 (155) |
| 107 | TOMMO_GENOMICS | ss5156797741 | Apr 26, 2021 (155) |
| 108 | EVA | ss5237313167 | Apr 26, 2021 (155) |
| 109 | 1000G_HIGH_COVERAGE | ss5252263626 | Oct 12, 2022 (156) |
| 110 | EVA | ss5314813162 | Oct 12, 2022 (156) |
| 111 | EVA | ss5336468222 | Oct 12, 2022 (156) |
| 112 | HUGCELL_USP | ss5451855350 | Oct 12, 2022 (156) |
| 113 | 1000G_HIGH_COVERAGE | ss5529729308 | Oct 12, 2022 (156) |
| 114 | SANFORD_IMAGENETICS | ss5624473751 | Oct 12, 2022 (156) |
| 115 | SANFORD_IMAGENETICS | ss5631085438 | Oct 12, 2022 (156) |
| 116 | TOMMO_GENOMICS | ss5687769436 | Oct 12, 2022 (156) |
| 117 | YY_MCH | ss5803277931 | Oct 12, 2022 (156) |
| 118 | EVA | ss5821682741 | Oct 12, 2022 (156) |
| 119 | EVA | ss5847206548 | Oct 12, 2022 (156) |
| 120 | EVA | ss5934977148 | Oct 12, 2022 (156) |
| 121 | EVA | ss5957347484 | Oct 12, 2022 (156) |
| 122 | EVA | ss5979602121 | Oct 12, 2022 (156) |
| 123 | 1000Genomes | NC_000002.11 - 227020653 | Oct 11, 2018 (152) |
| 124 | 1000Genomes_30x | NC_000002.12 - 226155937 | Oct 12, 2022 (156) |
| 125 | The Avon Longitudinal Study of Parents and Children | NC_000002.11 - 227020653 | Oct 11, 2018 (152) |
| 126 | Genome-wide autozygosity in Daghestan | NC_000002.10 - 226728897 | Apr 25, 2020 (154) |
| 127 | Genetic variation in the Estonian population | NC_000002.11 - 227020653 | Oct 11, 2018 (152) |
| 128 | The Danish reference pan genome | NC_000002.11 - 227020653 | Apr 25, 2020 (154) |
| 129 | gnomAD - Genomes | NC_000002.12 - 226155937 | Apr 26, 2021 (155) |
| 130 | Genome of the Netherlands Release 5 | NC_000002.11 - 227020653 | Apr 25, 2020 (154) |
| 131 | HGDP-CEPH-db Supplement 1 | NC_000002.10 - 226728897 | Apr 25, 2020 (154) |
| 132 | HapMap | NC_000002.12 - 226155937 | Apr 25, 2020 (154) |
| 133 | KOREAN population from KRGDB | NC_000002.11 - 227020653 | Apr 25, 2020 (154) |
| 134 | Korean Genome Project | NC_000002.12 - 226155937 | Apr 25, 2020 (154) |
| 135 | Northern Sweden | NC_000002.11 - 227020653 | Jul 13, 2019 (153) |
| 136 | The PAGE Study | NC_000002.12 - 226155937 | Jul 13, 2019 (153) |
| 137 | Ancient Sardinia genome-wide 1240k capture data generation and analysis | NC_000002.11 - 227020653 | Apr 26, 2021 (155) |
| 138 | CNV burdens in cranial meningiomas | NC_000002.11 - 227020653 | Apr 26, 2021 (155) |
| 139 | Qatari | NC_000002.11 - 227020653 | Apr 25, 2020 (154) |
| 140 | SGDP_PRJ | NC_000002.11 - 227020653 | Apr 25, 2020 (154) |
| 141 | Siberian | NC_000002.11 - 227020653 | Apr 25, 2020 (154) |
| 142 | 8.3KJPN | NC_000002.11 - 227020653 | Apr 26, 2021 (155) |
| 143 | 14KJPN | NC_000002.12 - 226155937 | Oct 12, 2022 (156) |
| 144 | TopMed | NC_000002.12 - 226155937 | Apr 26, 2021 (155) |
| 145 | UK 10K study - Twins | NC_000002.11 - 227020653 | Oct 11, 2018 (152) |
| 146 | A Vietnamese Genetic Variation Database | NC_000002.11 - 227020653 | Jul 13, 2019 (153) |
| 147 | ALFA | NC_000002.12 - 226155937 | Apr 26, 2021 (155) |
Help
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) |
|---|---|
| rs60178861 | May 25, 2008 (130) |
Added to this RefSNP Cluster:
| Submission IDs | Observation SPDI | Canonical SPDI | Source RSIDs |
|---|---|---|---|
| ss78131151 | NC_000002.9:226846157:A:G | NC_000002.12:226155936:A:G | (self) |
| 272017, 331061, ss91570848, ss110872489, ss165939370, ss201824338, ss205751696, ss211097378, ss253910085, ss276922812, ss292500859, ss484026005, ss825591981, ss1397322268, ss1587487545, ss1712535895, ss3643286774, ss3847653169 | NC_000002.10:226728896:A:G | NC_000002.12:226155936:A:G | (self) |
| 13026659, 7210908, 5102327, 5515051, 3159887, 7643638, 2714510, 183957, 48325, 3316774, 6750423, 1766329, 14767048, 7210908, 1566683, ss219850658, ss231612749, ss239065814, ss480237660, ss482601422, ss491332320, ss533625124, ss556267116, ss649929302, ss779727085, ss780686621, ss781181210, ss783360147, ss833117756, ss835201743, ss978029330, ss1069993005, ss1301911713, ss1428932182, ss1579350112, ss1605938309, ss1648932342, ss1752342166, ss1798471148, ss1917760715, ss1921274844, ss1946068318, ss1958511754, ss1969042183, ss2021185627, ss2149249975, ss2633748159, ss2703899865, ss2787082433, ss2985201936, ss2985823393, ss2991465080, ss3022076416, ss3344770970, ss3628301448, ss3628301449, ss3631707722, ss3634815372, ss3636505267, ss3638322421, ss3640522671, ss3642159116, ss3644771001, ss3652527859, ss3653969822, ss3659364079, ss3729429645, ss3744488038, ss3745115268, ss3758166358, ss3772611664, ss3784172441, ss3789707709, ss3794580963, ss3827540104, ss3837190069, ss3854733443, ss3900466244, ss3984498988, ss3984958030, ss4017052824, ss5156797741, ss5237313167, ss5314813162, ss5336468222, ss5624473751, ss5631085438, ss5821682741, ss5847206548, ss5957347484, ss5979602121 | NC_000002.11:227020652:A:G | NC_000002.12:226155936:A:G | (self) |
| 17255243, 92859889, 2024875, 6595658, 212779, 21606540, 350791547, 1414721949, ss2239711874, ss3024351995, ss3706154666, ss3725878836, ss3770991310, ss3802529151, ss3842612341, ss3950217657, ss4546968668, ss5252263626, ss5451855350, ss5529729308, ss5687769436, ss5803277931, ss5934977148 | NC_000002.12:226155936:A:G | NC_000002.12:226155936:A:G | (self) |
| ss11471892 | NT_005403.13:77179985:A:G | NC_000002.12:226155936:A:G | (self) |
| ss70935109, ss71537639, ss75696253, ss79261463, ss122783322, ss138642141, ss154431689, ss154799728, ss159606774, ss160890857, ss172310059, ss174429488, ss410950017 | NT_005403.17:77230070:A:G | NC_000002.12:226155936:A:G | (self) |
Help
Publications tab displays PubMed articles citing the variation as a listing of PMID, Title, Author, Year, Journal, ordered by Year, descending.
25
citations for rs7578326
| PMID | Title | Author | Year | Journal |
|---|---|---|---|---|
| 20043853 | Prioritizing genes for follow-up from genome wide association studies using information on gene expression in tissues relevant for type 2 diabetes mellitus. | Parikh H et al. | 2009 | BMC medical genomics |
| 20581827 | Twelve type 2 diabetes susceptibility loci identified through large-scale association analysis. | Voight BF et al. | 2010 | Nature genetics |
| 20805105 | Synthetic associations in the context of genome-wide association scan signals. | Orozco G et al. | 2010 | Human molecular genetics |
| 21278902 | Genetic risk profiling for prediction of type 2 diabetes. | Mihaescu R et al. | 2011 | PLoS currents |
| 21378175 | Updated genetic score based on 34 confirmed type 2 diabetes Loci is associated with diabetes incidence and regression to normoglycemia in the diabetes prevention program. | Hivert MF et al. | 2011 | Diabetes |
| 21848424 | Genetic associations with metabolic syndrome and its quantitative traits by race/ethnicity in the United States. | Vassy JL et al. | 2011 | Metabolic syndrome and related disorders |
| 22350825 | Genetic predisposition to type 2 diabetes is associated with impaired insulin secretion but does not modify insulin resistance or secretion in response to an intervention to lower dietary saturated fat. | Walker CG et al. | 2012 | Genes & nutrition |
| 22708638 | Effect of communicating genetic and phenotypic risk for type 2 diabetes in combination with lifestyle advice on objectively measured physical activity: protocol of a randomised controlled trial. | Godino JG et al. | 2012 | BMC public health |
| 22971100 | Quick, "imputation-free" meta-analysis with proxy-SNPs. | Meesters C et al. | 2012 | BMC bioinformatics |
| 23101478 | Single nucleotide polymorphisms (SNPs) involved in insulin resistance, weight regulation, lipid metabolism and inflammation in relation to metabolic syndrome: an epidemiological study. | Povel CM et al. | 2012 | Cardiovascular diabetology |
| 23185337 | Joint effect of genetic and lifestyle risk factors on type 2 diabetes risk among Chinese men and women. | Villegas R et al. | 2012 | PloS one |
| 23462794 | Identification of CpG-SNPs associated with type 2 diabetes and differential DNA methylation in human pancreatic islets. | Dayeh TA et al. | 2013 | Diabetologia |
| 23596181 | Modulation by dietary fat and carbohydrate of IRS1 association with type 2 diabetes traits in two populations of different ancestries. | Zheng JS et al. | 2013 | Diabetes care |
| 24843659 | Insights into the genetic basis of type 2 diabetes. | Kato N et al. | 2013 | Journal of diabetes investigation |
| 24926958 | Evaluation of common type 2 diabetes risk variants in a South Asian population of Sri Lankan descent. | Hassanali N et al. | 2014 | PloS one |
| 25587982 | Cumulative effect and predictive value of genetic variants associated with type 2 diabetes in Han Chinese: a case-control study. | Qian Y et al. | 2015 | PloS one |
| 25774817 | Genetics of type 2 diabetes-pitfalls and possibilities. | Prasad RB et al. | 2015 | Genes |
| 26290879 | Association Analysis of Genetic Variants with Type 2 Diabetes in a Mongolian Population in China. | Bai H et al. | 2015 | Journal of diabetes research |
| 26964836 | Recent progress in genetic and epigenetic research on type 2 diabetes. | Kwak SH et al. | 2016 | Experimental & molecular medicine |
| 27588103 | IGF2BP2 rs11705701 polymorphisms are associated with prediabetes in a Chinese population: A population-based case-control study. | Han L et al. | 2016 | Experimental and therapeutic medicine |
| 28072873 | Association Study with 77 SNPs Confirms the Robust Role for the rs10830963/G of MTNR1B Variant and Identifies Two Novel Associations in Gestational Diabetes Mellitus Development. | Rosta K et al. | 2017 | PloS one |
| 28696414 | Pharmacogenetics of oral antidiabetes drugs: evidence for diverse signals at the IRS1 locus. | Prudente S et al. | 2018 | The pharmacogenomics journal |
| 28821857 | CDKAL1 rs7756992 is associated with diabetic retinopathy in a Chinese population with type 2 diabetes. | Peng D et al. | 2017 | Scientific reports |
| 30888963 | Association of IRS1 genetic variants with glucose control and insulin resistance in type 2 diabetic patients from Bosnia and Herzegovina. | Mahmutovic L et al. | 2019 | Drug metabolism and personalized therapy |
| 33763108 | Whole Genome Interpretation for a Family of Five. | Corpas M et al. | 2021 | Frontiers in genetics |
Help
The Flanks tab provides retrieving flanking sequences of a SNP on all molecules that have placements.
Genome context:
Select flank length:
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.