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.
rs167771
Current Build 156
Released September 21, 2022
- Organism
- Homo sapiens
- Position
-
chr3:114157428 (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
- G>A / G>C / G>T
- Variation Type
- SNV Single Nucleotide Variation
- Frequency
-
G=0.196987 (65904/334560, ALFA)G=0.372228 (98525/264690, TOPMED)G=0.359186 (50235/139858, GnomAD) (+ 22 more)
- Clinical Significance
- Reported in ClinVar
- Gene : Consequence
- DRD3 : 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 | 334776 | G=0.197018 | A=0.802982, T=0.000000 |
| European | Sub | 289664 | G=0.170850 | A=0.829150, T=0.000000 |
| African | Sub | 9716 | G=0.7860 | A=0.2140, T=0.0000 |
| African Others | Sub | 368 | G=0.883 | A=0.117, T=0.000 |
| African American | Sub | 9348 | G=0.7822 | A=0.2178, T=0.0000 |
| Asian | Sub | 6818 | G=0.1850 | A=0.8150, T=0.0000 |
| East Asian | Sub | 4904 | G=0.1731 | A=0.8269, T=0.0000 |
| Other Asian | Sub | 1914 | G=0.2153 | A=0.7847, T=0.0000 |
| Latin American 1 | Sub | 1014 | G=0.3590 | A=0.6410, T=0.0000 |
| Latin American 2 | Sub | 6660 | G=0.2721 | A=0.7279, T=0.0000 |
| South Asian | Sub | 5146 | G=0.3508 | A=0.6492, T=0.0000 |
| Other | Sub | 15758 | G=0.22776 | A=0.77224, T=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").
Download| Study | Population | Group | Sample Size | Ref Allele | Alt Allele |
|---|---|---|---|---|---|
| Allele Frequency Aggregator | Total | Global | 334560 | G=0.196987 | A=0.803013, T=0.000000 |
| Allele Frequency Aggregator | European | Sub | 289484 | G=0.170845 | A=0.829155, T=0.000000 |
| Allele Frequency Aggregator | Other | Sub | 15736 | G=0.22763 | A=0.77237, T=0.00000 |
| Allele Frequency Aggregator | African | Sub | 9702 | G=0.7857 | A=0.2143, T=0.0000 |
| Allele Frequency Aggregator | Asian | Sub | 6818 | G=0.1850 | A=0.8150, T=0.0000 |
| Allele Frequency Aggregator | Latin American 2 | Sub | 6660 | G=0.2721 | A=0.7279, T=0.0000 |
| Allele Frequency Aggregator | South Asian | Sub | 5146 | G=0.3508 | A=0.6492, T=0.0000 |
| Allele Frequency Aggregator | Latin American 1 | Sub | 1014 | G=0.3590 | A=0.6410, T=0.0000 |
| TopMed | Global | Study-wide | 264690 | G=0.372228 | A=0.627772 |
| gnomAD - Genomes | Global | Study-wide | 139858 | G=0.359186 | A=0.640814 |
| gnomAD - Genomes | European | Sub | 75796 | G=0.17358 | A=0.82642 |
| gnomAD - Genomes | African | Sub | 41850 | G=0.74925 | A=0.25075 |
| gnomAD - Genomes | American | Sub | 13618 | G=0.27559 | A=0.72441 |
| gnomAD - Genomes | Ashkenazi Jewish | Sub | 3324 | G=0.1946 | A=0.8054 |
| gnomAD - Genomes | East Asian | Sub | 3126 | G=0.1820 | A=0.8180 |
| gnomAD - Genomes | Other | Sub | 2144 | G=0.3512 | A=0.6488 |
| The PAGE Study | Global | Study-wide | 78698 | G=0.48084 | A=0.51916 |
| The PAGE Study | AfricanAmerican | Sub | 32516 | G=0.73256 | A=0.26744 |
| The PAGE Study | Mexican | Sub | 10808 | G=0.27840 | A=0.72160 |
| The PAGE Study | Asian | Sub | 8318 | G=0.1999 | A=0.8001 |
| The PAGE Study | PuertoRican | Sub | 7918 | G=0.3728 | A=0.6272 |
| The PAGE Study | NativeHawaiian | Sub | 4534 | G=0.2978 | A=0.7022 |
| The PAGE Study | Cuban | Sub | 4230 | G=0.2882 | A=0.7118 |
| The PAGE Study | Dominican | Sub | 3828 | G=0.4956 | A=0.5044 |
| The PAGE Study | CentralAmerican | Sub | 2450 | G=0.3000 | A=0.7000 |
| The PAGE Study | SouthAmerican | Sub | 1982 | G=0.2588 | A=0.7412 |
| The PAGE Study | NativeAmerican | Sub | 1260 | G=0.2730 | A=0.7270 |
| The PAGE Study | SouthAsian | Sub | 854 | G=0.397 | A=0.603 |
| 14KJPN | JAPANESE | Study-wide | 28258 | G=0.19035 | A=0.80965 |
| 8.3KJPN | JAPANESE | Study-wide | 16760 | G=0.18866 | A=0.81134 |
| 1000Genomes_30x | Global | Study-wide | 6404 | G=0.4199 | A=0.5801 |
| 1000Genomes_30x | African | Sub | 1786 | G=0.8427 | A=0.1573 |
| 1000Genomes_30x | Europe | Sub | 1266 | G=0.1983 | A=0.8017 |
| 1000Genomes_30x | South Asian | Sub | 1202 | G=0.3835 | A=0.6165 |
| 1000Genomes_30x | East Asian | Sub | 1170 | G=0.1752 | A=0.8248 |
| 1000Genomes_30x | American | Sub | 980 | G=0.272 | A=0.728 |
| 1000Genomes | Global | Study-wide | 5008 | G=0.4113 | A=0.5887 |
| 1000Genomes | African | Sub | 1322 | G=0.8434 | A=0.1566 |
| 1000Genomes | East Asian | Sub | 1008 | G=0.1706 | A=0.8294 |
| 1000Genomes | Europe | Sub | 1006 | G=0.1968 | A=0.8032 |
| 1000Genomes | South Asian | Sub | 978 | G=0.396 | A=0.604 |
| 1000Genomes | American | Sub | 694 | G=0.271 | A=0.729 |
| Genetic variation in the Estonian population | Estonian | Study-wide | 4480 | G=0.1665 | A=0.8335 |
| The Avon Longitudinal Study of Parents and Children | PARENT AND CHILD COHORT | Study-wide | 3854 | G=0.1655 | A=0.8345 |
| UK 10K study - Twins | TWIN COHORT | Study-wide | 3708 | G=0.1575 | A=0.8425 |
| KOREAN population from KRGDB | KOREAN | Study-wide | 2930 | G=0.1509 | A=0.8491, C=0.0000, T=0.0000 |
| HGDP-CEPH-db Supplement 1 | Global | Study-wide | 2084 | G=0.3167 | A=0.6833 |
| HGDP-CEPH-db Supplement 1 | Est_Asia | Sub | 470 | G=0.140 | A=0.860 |
| HGDP-CEPH-db Supplement 1 | Central_South_Asia | Sub | 414 | G=0.309 | A=0.691 |
| HGDP-CEPH-db Supplement 1 | Middle_Est | Sub | 350 | G=0.331 | A=0.669 |
| HGDP-CEPH-db Supplement 1 | Europe | Sub | 320 | G=0.194 | A=0.806 |
| HGDP-CEPH-db Supplement 1 | Africa | Sub | 242 | G=0.851 | A=0.149 |
| HGDP-CEPH-db Supplement 1 | America | Sub | 216 | G=0.264 | A=0.736 |
| HGDP-CEPH-db Supplement 1 | Oceania | Sub | 72 | G=0.35 | A=0.65 |
| HapMap | Global | Study-wide | 1890 | G=0.4698 | A=0.5302 |
| HapMap | American | Sub | 770 | G=0.313 | A=0.687 |
| HapMap | African | Sub | 692 | G=0.821 | A=0.179 |
| HapMap | Asian | Sub | 252 | G=0.163 | A=0.837 |
| HapMap | Europe | Sub | 176 | G=0.216 | A=0.784 |
| Korean Genome Project | KOREAN | Study-wide | 1832 | G=0.1588 | A=0.8412 |
| Genome-wide autozygosity in Daghestan | Global | Study-wide | 1130 | G=0.2646 | A=0.7354 |
| Genome-wide autozygosity in Daghestan | Daghestan | Sub | 622 | G=0.240 | A=0.760 |
| Genome-wide autozygosity in Daghestan | Near_East | Sub | 144 | G=0.319 | A=0.681 |
| Genome-wide autozygosity in Daghestan | Central Asia | Sub | 122 | G=0.254 | A=0.746 |
| Genome-wide autozygosity in Daghestan | Europe | Sub | 108 | G=0.139 | A=0.861 |
| Genome-wide autozygosity in Daghestan | South Asian | Sub | 98 | G=0.51 | A=0.49 |
| Genome-wide autozygosity in Daghestan | Caucasus | Sub | 36 | G=0.22 | A=0.78 |
| Genome of the Netherlands Release 5 | Genome of the Netherlands | Study-wide | 998 | G=0.178 | A=0.822 |
| CNV burdens in cranial meningiomas | Global | Study-wide | 790 | G=0.178 | A=0.822 |
| CNV burdens in cranial meningiomas | CRM | Sub | 790 | G=0.178 | A=0.822 |
| Northern Sweden | ACPOP | Study-wide | 600 | G=0.262 | A=0.738 |
| SGDP_PRJ | Global | Study-wide | 464 | G=0.194 | A=0.806 |
| Qatari | Global | Study-wide | 216 | G=0.370 | A=0.630 |
| A Vietnamese Genetic Variation Database | Global | Study-wide | 210 | G=0.205 | A=0.795 |
| Ancient Sardinia genome-wide 1240k capture data generation and analysis | Global | Study-wide | 72 | G=0.19 | A=0.81 |
| Siberian | Global | Study-wide | 54 | G=0.13 | A=0.87 |
| The Danish reference pan genome | Danish | Study-wide | 40 | G=0.07 | A=0.93 |
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 3 | NC_000003.12:g.114157428G>A |
| GRCh38.p14 chr 3 | NC_000003.12:g.114157428G>C |
| GRCh38.p14 chr 3 | NC_000003.12:g.114157428G>T |
| GRCh37.p13 chr 3 | NC_000003.11:g.113876275G>A |
| GRCh37.p13 chr 3 | NC_000003.11:g.113876275G>C |
| GRCh37.p13 chr 3 | NC_000003.11:g.113876275G>T |
| DRD3 RefSeqGene | NG_008842.2:g.46980C>T |
| DRD3 RefSeqGene | NG_008842.2:g.46980C>G |
| DRD3 RefSeqGene | NG_008842.2:g.46980C>A |
Gene: DRD3, dopamine receptor D3
(minus strand)
| Molecule type | Change | Amino acid[Codon] | SO Term |
|---|---|---|---|
| DRD3 transcript variant a | NM_000796.6:c.383+2327C>T | N/A | Intron Variant |
| DRD3 transcript variant f |
NM_001282563.2:c.383+2327… NM_001282563.2:c.383+2327C>T |
N/A | Intron Variant |
| DRD3 transcript variant g |
NM_001290809.1:c.383+2327… NM_001290809.1:c.383+2327C>T |
N/A | Intron Variant |
| DRD3 transcript variant e | NM_033663.6:c.383+2327C>T | 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.
Allele: A (allele ID:
500408
)
| ClinVar Accession | Disease Names | Clinical Significance |
|---|---|---|
| RCV000607974.1 | not specified | Benign |
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 | G= | A | C | T |
|---|---|---|---|---|
| GRCh38.p14 chr 3 | NC_000003.12:g.114157428= | NC_000003.12:g.114157428G>A | NC_000003.12:g.114157428G>C | NC_000003.12:g.114157428G>T |
| GRCh37.p13 chr 3 | NC_000003.11:g.113876275= | NC_000003.11:g.113876275G>A | NC_000003.11:g.113876275G>C | NC_000003.11:g.113876275G>T |
| DRD3 RefSeqGene | NG_008842.2:g.46980= | NG_008842.2:g.46980C>T | NG_008842.2:g.46980C>G | NG_008842.2:g.46980C>A |
| DRD3 transcript variant a | NM_000796.3:c.383+2327= | NM_000796.3:c.383+2327C>T | NM_000796.3:c.383+2327C>G | NM_000796.3:c.383+2327C>A |
| DRD3 transcript variant a | NM_000796.6:c.383+2327= | NM_000796.6:c.383+2327C>T | NM_000796.6:c.383+2327C>G | NM_000796.6:c.383+2327C>A |
| DRD3 transcript variant f | NM_001282563.2:c.383+2327= | NM_001282563.2:c.383+2327C>T | NM_001282563.2:c.383+2327C>G | NM_001282563.2:c.383+2327C>A |
| DRD3 transcript variant g | NM_001290809.1:c.383+2327= | NM_001290809.1:c.383+2327C>T | NM_001290809.1:c.383+2327C>G | NM_001290809.1:c.383+2327C>A |
| DRD3 transcript variant e | NM_033663.3:c.383+2327= | NM_033663.3:c.383+2327C>T | NM_033663.3:c.383+2327C>G | NM_033663.3:c.383+2327C>A |
| DRD3 transcript variant e | NM_033663.6:c.383+2327= | NM_033663.6:c.383+2327C>T | NM_033663.6:c.383+2327C>G | NM_033663.6:c.383+2327C>A |
| DRD3 transcript variant X1 | XM_005247170.1:c.383+2327= | XM_005247170.1:c.383+2327C>T | XM_005247170.1:c.383+2327C>G | XM_005247170.1:c.383+2327C>A |
| DRD3 transcript variant X2 | XM_005247171.1:c.383+2327= | XM_005247171.1:c.383+2327C>T | XM_005247171.1:c.383+2327C>G | XM_005247171.1:c.383+2327C>A |
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#.
155 SubSNP,
25 Frequency,
1 ClinVar
submissions
| No | Submitter | Submission ID | Date (Build) |
|---|---|---|---|
| 1 | KWOK | ss223752 | Jul 12, 2000 (79) |
| 2 | KWOK | ss990398 | Oct 04, 2000 (86) |
| 3 | KWOK | ss1938347 | Oct 18, 2000 (87) |
| 4 | SC_JCM | ss3743501 | Sep 28, 2001 (100) |
| 5 | SC_SNP | ss15533551 | Feb 27, 2004 (120) |
| 6 | CSHL-HAPMAP | ss16979956 | Feb 27, 2004 (120) |
| 7 | SSAHASNP | ss21962189 | Apr 05, 2004 (121) |
| 8 | PERLEGEN | ss23345916 | Sep 20, 2004 (123) |
| 9 | ABI | ss44384163 | Mar 15, 2006 (126) |
| 10 | ILLUMINA | ss65789961 | Oct 15, 2006 (127) |
| 11 | ILLUMINA | ss66640833 | Nov 30, 2006 (127) |
| 12 | ILLUMINA | ss67146350 | Nov 30, 2006 (127) |
| 13 | ILLUMINA | ss67488198 | Nov 30, 2006 (127) |
| 14 | PERLEGEN | ss68872166 | May 17, 2007 (127) |
| 15 | ILLUMINA | ss70447926 | May 17, 2007 (127) |
| 16 | ILLUMINA | ss70639147 | May 25, 2008 (130) |
| 17 | ILLUMINA | ss71190236 | May 17, 2007 (127) |
| 18 | ILLUMINA | ss75538869 | Dec 06, 2007 (129) |
| 19 | HGSV | ss78077051 | Dec 06, 2007 (129) |
| 20 | KRIBB_YJKIM | ss83374709 | Dec 15, 2007 (130) |
| 21 | BCMHGSC_JDW | ss92243109 | Mar 24, 2008 (129) |
| 22 | HUMANGENOME_JCVI | ss99123909 | Feb 05, 2009 (130) |
| 23 | BGI | ss106290195 | Feb 05, 2009 (130) |
| 24 | 1000GENOMES | ss112376018 | Jan 25, 2009 (130) |
| 25 | ILLUMINA | ss121774103 | Dec 01, 2009 (131) |
| 26 | ENSEMBL | ss135544208 | Dec 01, 2009 (131) |
| 27 | ENSEMBL | ss139106557 | Dec 01, 2009 (131) |
| 28 | ILLUMINA | ss153549691 | Dec 01, 2009 (131) |
| 29 | GMI | ss156059774 | Dec 01, 2009 (131) |
| 30 | ILLUMINA | ss159291837 | Dec 01, 2009 (131) |
| 31 | ILLUMINA | ss160382650 | Dec 01, 2009 (131) |
| 32 | COMPLETE_GENOMICS | ss167061585 | Jul 04, 2010 (132) |
| 33 | ILLUMINA | ss170707989 | Jul 04, 2010 (132) |
| 34 | ILLUMINA | ss172615359 | Jul 04, 2010 (132) |
| 35 | BCM-HGSC-SUB | ss206008154 | Jul 04, 2010 (132) |
| 36 | 1000GENOMES | ss211251190 | Jul 14, 2010 (132) |
| 37 | 1000GENOMES | ss220364700 | Jul 14, 2010 (132) |
| 38 | 1000GENOMES | ss231985905 | Jul 14, 2010 (132) |
| 39 | 1000GENOMES | ss239367258 | Jul 15, 2010 (132) |
| 40 | BL | ss253407866 | May 09, 2011 (134) |
| 41 | GMI | ss277302873 | May 04, 2012 (137) |
| 42 | GMI | ss284726768 | Apr 25, 2013 (138) |
| 43 | PJP | ss292890730 | May 09, 2011 (134) |
| 44 | ILLUMINA | ss480064198 | May 04, 2012 (137) |
| 45 | ILLUMINA | ss480072948 | May 04, 2012 (137) |
| 46 | ILLUMINA | ss480747831 | Sep 08, 2015 (146) |
| 47 | ILLUMINA | ss484829997 | May 04, 2012 (137) |
| 48 | EXOME_CHIP | ss491344349 | May 04, 2012 (137) |
| 49 | ILLUMINA | ss536905641 | Sep 08, 2015 (146) |
| 50 | TISHKOFF | ss556872023 | Apr 25, 2013 (138) |
| 51 | SSMP | ss650581625 | Apr 25, 2013 (138) |
| 52 | ILLUMINA | ss778441983 | Sep 08, 2015 (146) |
| 53 | ILLUMINA | ss780796506 | Sep 08, 2015 (146) |
| 54 | ILLUMINA | ss782861571 | Sep 08, 2015 (146) |
| 55 | ILLUMINA | ss783477739 | Sep 08, 2015 (146) |
| 56 | ILLUMINA | ss783825883 | Sep 08, 2015 (146) |
| 57 | ILLUMINA | ss825416659 | Apr 01, 2015 (144) |
| 58 | ILLUMINA | ss832115600 | Sep 08, 2015 (146) |
| 59 | ILLUMINA | ss832803944 | Jul 13, 2019 (153) |
| 60 | ILLUMINA | ss833897526 | Sep 08, 2015 (146) |
| 61 | EVA-GONL | ss979037246 | Aug 21, 2014 (142) |
| 62 | JMKIDD_LAB | ss1070742401 | Aug 21, 2014 (142) |
| 63 | 1000GENOMES | ss1305682830 | Aug 21, 2014 (142) |
| 64 | HAMMER_LAB | ss1397348812 | Sep 08, 2015 (146) |
| 65 | DDI | ss1429549239 | Apr 01, 2015 (144) |
| 66 | EVA_GENOME_DK | ss1580133583 | Apr 01, 2015 (144) |
| 67 | EVA_DECODE | ss1588517163 | Apr 01, 2015 (144) |
| 68 | EVA_UK10K_ALSPAC | ss1607961750 | Apr 01, 2015 (144) |
| 69 | EVA_UK10K_TWINSUK | ss1650955783 | Apr 01, 2015 (144) |
| 70 | EVA_SVP | ss1712603643 | Apr 01, 2015 (144) |
| 71 | ILLUMINA | ss1752432859 | Sep 08, 2015 (146) |
| 72 | ILLUMINA | ss1752432860 | Sep 08, 2015 (146) |
| 73 | ILLUMINA | ss1917771060 | Feb 12, 2016 (147) |
| 74 | WEILL_CORNELL_DGM | ss1922265490 | Feb 12, 2016 (147) |
| 75 | ILLUMINA | ss1946092413 | Feb 12, 2016 (147) |
| 76 | ILLUMINA | ss1958595176 | Feb 12, 2016 (147) |
| 77 | GENOMED | ss1969495028 | Jul 19, 2016 (147) |
| 78 | JJLAB | ss2021698731 | Sep 14, 2016 (149) |
| 79 | USC_VALOUEV | ss2149790566 | Dec 20, 2016 (150) |
| 80 | HUMAN_LONGEVITY | ss2254879361 | Dec 20, 2016 (150) |
| 81 | SYSTEMSBIOZJU | ss2625352029 | Nov 08, 2017 (151) |
| 82 | ILLUMINA | ss2633996846 | Nov 08, 2017 (151) |
| 83 | ILLUMINA | ss2633996847 | Nov 08, 2017 (151) |
| 84 | GRF | ss2705192642 | Nov 08, 2017 (151) |
| 85 | ILLUMINA | ss2710982610 | Nov 08, 2017 (151) |
| 86 | GNOMAD | ss2797778386 | Nov 08, 2017 (151) |
| 87 | AFFY | ss2985266468 | Nov 08, 2017 (151) |
| 88 | AFFY | ss2985887460 | Nov 08, 2017 (151) |
| 89 | SWEGEN | ss2993004331 | Nov 08, 2017 (151) |
| 90 | ILLUMINA | ss3022275082 | Nov 08, 2017 (151) |
| 91 | BIOINF_KMB_FNS_UNIBA | ss3024616011 | Nov 08, 2017 (151) |
| 92 | CSHL | ss3345210857 | Nov 08, 2017 (151) |
| 93 | ILLUMINA | ss3625823372 | Oct 12, 2018 (152) |
| 94 | ILLUMINA | ss3628748524 | Oct 12, 2018 (152) |
| 95 | ILLUMINA | ss3628748525 | Oct 12, 2018 (152) |
| 96 | ILLUMINA | ss3631940556 | Oct 12, 2018 (152) |
| 97 | ILLUMINA | ss3633304646 | Oct 12, 2018 (152) |
| 98 | ILLUMINA | ss3634022154 | Oct 12, 2018 (152) |
| 99 | ILLUMINA | ss3634911412 | Oct 12, 2018 (152) |
| 100 | ILLUMINA | ss3634911413 | Oct 12, 2018 (152) |
| 101 | ILLUMINA | ss3635705830 | Oct 12, 2018 (152) |
| 102 | ILLUMINA | ss3636607686 | Oct 12, 2018 (152) |
| 103 | ILLUMINA | ss3637458222 | Oct 12, 2018 (152) |
| 104 | ILLUMINA | ss3638435139 | Oct 12, 2018 (152) |
| 105 | ILLUMINA | ss3639220685 | Oct 12, 2018 (152) |
| 106 | ILLUMINA | ss3639628963 | Oct 12, 2018 (152) |
| 107 | ILLUMINA | ss3640618711 | Oct 12, 2018 (152) |
| 108 | ILLUMINA | ss3640618712 | Oct 12, 2018 (152) |
| 109 | ILLUMINA | ss3643390641 | Oct 12, 2018 (152) |
| 110 | ILLUMINA | ss3644825039 | Oct 12, 2018 (152) |
| 111 | URBANLAB | ss3647501455 | Oct 12, 2018 (152) |
| 112 | ILLUMINA | ss3652752984 | Oct 12, 2018 (152) |
| 113 | ILLUMINA | ss3654035461 | Oct 12, 2018 (152) |
| 114 | EGCUT_WGS | ss3660927408 | Jul 13, 2019 (153) |
| 115 | EVA_DECODE | ss3710059369 | Jul 13, 2019 (153) |
| 116 | ILLUMINA | ss3726046648 | Jul 13, 2019 (153) |
| 117 | ACPOP | ss3730247328 | Jul 13, 2019 (153) |
| 118 | ILLUMINA | ss3744514365 | Jul 13, 2019 (153) |
| 119 | ILLUMINA | ss3745211385 | Jul 13, 2019 (153) |
| 120 | ILLUMINA | ss3745211386 | Jul 13, 2019 (153) |
| 121 | EVA | ss3760544256 | Jul 13, 2019 (153) |
| 122 | PAGE_CC | ss3771055806 | Jul 13, 2019 (153) |
| 123 | ILLUMINA | ss3772706697 | Jul 13, 2019 (153) |
| 124 | ILLUMINA | ss3772706698 | Jul 13, 2019 (153) |
| 125 | PACBIO | ss3784431081 | Jul 13, 2019 (153) |
| 126 | PACBIO | ss3789930343 | Jul 13, 2019 (153) |
| 127 | PACBIO | ss3794804755 | Jul 13, 2019 (153) |
| 128 | KHV_HUMAN_GENOMES | ss3803681833 | Jul 13, 2019 (153) |
| 129 | EVA | ss3828015341 | Apr 25, 2020 (154) |
| 130 | EVA | ss3837440106 | Apr 25, 2020 (154) |
| 131 | EVA | ss3842870119 | Apr 25, 2020 (154) |
| 132 | HGDP | ss3847720053 | Apr 25, 2020 (154) |
| 133 | SGDP_PRJ | ss3856723404 | Apr 25, 2020 (154) |
| 134 | KRGDB | ss3902705931 | Apr 25, 2020 (154) |
| 135 | KOGIC | ss3952177383 | Apr 25, 2020 (154) |
| 136 | EVA | ss3984513362 | Apr 27, 2021 (155) |
| 137 | EVA | ss3985013851 | Apr 27, 2021 (155) |
| 138 | TOPMED | ss4579531257 | Apr 27, 2021 (155) |
| 139 | TOMMO_GENOMICS | ss5161049762 | Apr 27, 2021 (155) |
| 140 | 1000G_HIGH_COVERAGE | ss5255618949 | Oct 12, 2022 (156) |
| 141 | EVA | ss5314884428 | Oct 12, 2022 (156) |
| 142 | EVA | ss5342516995 | Oct 12, 2022 (156) |
| 143 | HUGCELL_USP | ss5454807521 | Oct 12, 2022 (156) |
| 144 | 1000G_HIGH_COVERAGE | ss5534846001 | Oct 12, 2022 (156) |
| 145 | SANFORD_IMAGENETICS | ss5624527937 | Oct 12, 2022 (156) |
| 146 | SANFORD_IMAGENETICS | ss5632959022 | Oct 12, 2022 (156) |
| 147 | TOMMO_GENOMICS | ss5693770229 | Oct 12, 2022 (156) |
| 148 | EVA | ss5799588933 | Oct 12, 2022 (156) |
| 149 | YY_MCH | ss5804141694 | Oct 12, 2022 (156) |
| 150 | EVA | ss5826322614 | Oct 12, 2022 (156) |
| 151 | EVA | ss5847223981 | Oct 12, 2022 (156) |
| 152 | EVA | ss5847977286 | Oct 12, 2022 (156) |
| 153 | EVA | ss5853787124 | Oct 12, 2022 (156) |
| 154 | EVA | ss5870532045 | Oct 12, 2022 (156) |
| 155 | EVA | ss5961294691 | Oct 12, 2022 (156) |
| 156 | 1000Genomes | NC_000003.11 - 113876275 | Oct 12, 2018 (152) |
| 157 | 1000Genomes_30x | NC_000003.12 - 114157428 | Oct 12, 2022 (156) |
| 158 | The Avon Longitudinal Study of Parents and Children | NC_000003.11 - 113876275 | Oct 12, 2018 (152) |
| 159 | Genome-wide autozygosity in Daghestan | NC_000003.10 - 115358965 | Apr 25, 2020 (154) |
| 160 | Genetic variation in the Estonian population | NC_000003.11 - 113876275 | Oct 12, 2018 (152) |
| 161 | The Danish reference pan genome | NC_000003.11 - 113876275 | Apr 25, 2020 (154) |
| 162 | gnomAD - Genomes | NC_000003.12 - 114157428 | Apr 27, 2021 (155) |
| 163 | Genome of the Netherlands Release 5 | NC_000003.11 - 113876275 | Apr 25, 2020 (154) |
| 164 | HGDP-CEPH-db Supplement 1 | NC_000003.10 - 115358965 | Apr 25, 2020 (154) |
| 165 | HapMap | NC_000003.12 - 114157428 | Apr 25, 2020 (154) |
| 166 | KOREAN population from KRGDB | NC_000003.11 - 113876275 | Apr 25, 2020 (154) |
| 167 | Korean Genome Project | NC_000003.12 - 114157428 | Apr 25, 2020 (154) |
| 168 | Northern Sweden | NC_000003.11 - 113876275 | Jul 13, 2019 (153) |
| 169 | The PAGE Study | NC_000003.12 - 114157428 | Jul 13, 2019 (153) |
| 170 | Ancient Sardinia genome-wide 1240k capture data generation and analysis | NC_000003.11 - 113876275 | Apr 27, 2021 (155) |
| 171 | CNV burdens in cranial meningiomas | NC_000003.11 - 113876275 | Apr 27, 2021 (155) |
| 172 | Qatari | NC_000003.11 - 113876275 | Apr 25, 2020 (154) |
| 173 | SGDP_PRJ | NC_000003.11 - 113876275 | Apr 25, 2020 (154) |
| 174 | Siberian | NC_000003.11 - 113876275 | Apr 25, 2020 (154) |
| 175 | 8.3KJPN | NC_000003.11 - 113876275 | Apr 27, 2021 (155) |
| 176 | 14KJPN | NC_000003.12 - 114157428 | Oct 12, 2022 (156) |
| 177 | TopMed | NC_000003.12 - 114157428 | Apr 27, 2021 (155) |
| 178 | UK 10K study - Twins | NC_000003.11 - 113876275 | Oct 12, 2018 (152) |
| 179 | A Vietnamese Genetic Variation Database | NC_000003.11 - 113876275 | Jul 13, 2019 (153) |
| 180 | ALFA | NC_000003.12 - 114157428 | Apr 27, 2021 (155) |
| 181 | ClinVar | RCV000607974.1 | Oct 12, 2018 (152) |
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) |
|---|---|
| rs59234015 | May 25, 2008 (130) |
Added to this RefSNP Cluster:
| Submission IDs | Observation SPDI | Canonical SPDI | Source RSIDs |
|---|---|---|---|
| ss78077051, ss3639220685, ss3639628963 | NC_000003.9:115358964:G:A | NC_000003.12:114157427:G:A | (self) |
| 324667, 397945, ss92243109, ss112376018, ss167061585, ss206008154, ss211251190, ss253407866, ss277302873, ss284726768, ss292890730, ss480064198, ss825416659, ss1397348812, ss1588517163, ss1712603643, ss3643390641, ss3847720053 | NC_000003.10:115358964:G:A | NC_000003.12:114157427:G:A | (self) |
| 16928986, 9424880, 6665656, 6298522, 4142076, 9883325, 3532193, 239778, 62710, 4307420, 8740384, 2306920, 19019069, 9424880, 2053708, ss220364700, ss231985905, ss239367258, ss480072948, ss480747831, ss484829997, ss491344349, ss536905641, ss556872023, ss650581625, ss778441983, ss780796506, ss782861571, ss783477739, ss783825883, ss832115600, ss832803944, ss833897526, ss979037246, ss1070742401, ss1305682830, ss1429549239, ss1580133583, ss1607961750, ss1650955783, ss1752432859, ss1752432860, ss1917771060, ss1922265490, ss1946092413, ss1958595176, ss1969495028, ss2021698731, ss2149790566, ss2625352029, ss2633996846, ss2633996847, ss2705192642, ss2710982610, ss2797778386, ss2985266468, ss2985887460, ss2993004331, ss3022275082, ss3345210857, ss3625823372, ss3628748524, ss3628748525, ss3631940556, ss3633304646, ss3634022154, ss3634911412, ss3634911413, ss3635705830, ss3636607686, ss3637458222, ss3638435139, ss3640618711, ss3640618712, ss3644825039, ss3652752984, ss3654035461, ss3660927408, ss3730247328, ss3744514365, ss3745211385, ss3745211386, ss3760544256, ss3772706697, ss3772706698, ss3784431081, ss3789930343, ss3794804755, ss3828015341, ss3837440106, ss3856723404, ss3902705931, ss3984513362, ss3985013851, ss5161049762, ss5314884428, ss5342516995, ss5624527937, ss5632959022, ss5799588933, ss5826322614, ss5847223981, ss5847977286, ss5961294691 | NC_000003.11:113876274:G:A | NC_000003.12:114157427:G:A | (self) |
| RCV000607974.1, 22371936, 120369719, 2436805, 8555384, 277275, 27607333, 416908812, 9336930539, ss2254879361, ss3024616011, ss3647501455, ss3710059369, ss3726046648, ss3771055806, ss3803681833, ss3842870119, ss3952177383, ss4579531257, ss5255618949, ss5454807521, ss5534846001, ss5693770229, ss5804141694, ss5853787124, ss5870532045 | NC_000003.12:114157427:G:A | NC_000003.12:114157427:G:A | (self) |
| ss15533551, ss16979956, ss21962189 | NT_005612.14:20371420:G:A | NC_000003.12:114157427:G:A | (self) |
| ss223752, ss990398, ss1938347, ss3743501, ss23345916, ss44384163, ss65789961, ss66640833, ss67146350, ss67488198, ss68872166, ss70447926, ss70639147, ss71190236, ss75538869, ss83374709, ss99123909, ss106290195, ss121774103, ss135544208, ss139106557, ss153549691, ss156059774, ss159291837, ss160382650, ss170707989, ss172615359 | NT_005612.16:20371420:G:A | NC_000003.12:114157427:G:A | (self) |
| 9883325, ss3902705931 | NC_000003.11:113876274:G:C | NC_000003.12:114157427:G:C | (self) |
| 9883325, ss3902705931 | NC_000003.11:113876274:G:T | NC_000003.12:114157427:G:T | (self) |
| 9336930539 | NC_000003.12:114157427:G:T | NC_000003.12:114157427:G:T | (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 rs167771
| PMID | Title | Author | Year | Journal |
|---|---|---|---|---|
| 18330705 | Physiogenomic analysis of localized FMRI brain activity in schizophrenia. | Windemuth A et al. | 2008 | Annals of biomedical engineering |
| 18821566 | SNPs in dopamine D2 receptor gene (DRD2) and norepinephrine transporter gene (NET) are associated with continuous performance task (CPT) phenotypes in ADHD children and their families. | Kollins SH et al. | 2008 | American journal of medical genetics. Part B, Neuropsychiatric genetics |
| 19058789 | A common variant in DRD3 receptor is associated with autism spectrum disorder. | de Krom M et al. | 2009 | Biological psychiatry |
| 19506579 | A common variant in DRD3 gene is associated with risperidone-induced extrapyramidal symptoms. | Gassó P et al. | 2009 | The pharmacogenomics journal |
| 20148275 | Shared heritability of attention-deficit/hyperactivity disorder and autism spectrum disorder. | Rommelse NN et al. | 2010 | European child & adolescent psychiatry |
| 20619616 | Searching for functional SNPs or rare variants in exonic regions of DRD3 in risperidone-treated patients. | Gassó P et al. | 2011 | European neuropsychopharmacology |
| 21691864 | Brief report: the dopamine-3-receptor gene (DRD3) is associated with specific repetitive behavior in autism spectrum disorder (ASD). | Staal WG et al. | 2012 | Journal of autism and developmental disorders |
| 22021758 | Interaction of early environment, gender and genes of monoamine neurotransmission in the aetiology of depression in a large population-based Finnish birth cohort. | Nyman ES et al. | 2011 | BMJ open |
| 22309839 | Association study of 45 candidate genes in nicotine dependence in Han Chinese. | Wei J et al. | 2012 | Addictive behaviors |
| 22397633 | Neurotransmitter systems and neurotrophic factors in autism: association study of 37 genes suggests involvement of DDC. | Toma C et al. | 2013 | The world journal of biological psychiatry |
| 23856854 | Positive effects of methylphenidate on hyperactivity are moderated by monoaminergic gene variants in children with autism spectrum disorders. | McCracken JT et al. | 2014 | The pharmacogenomics journal |
| 24927283 | Role of nicotine dependence in the association between the dopamine receptor gene DRD3 and major depressive disorder. | Korhonen T et al. | 2014 | PloS one |
| 24944790 | Screening for 392 polymorphisms in 141 pharmacogenes. | Kim JY et al. | 2014 | Biomedical reports |
| 25224105 | Autism, DRD3 and repetitive and stereotyped behavior, an overview of the current knowledge. | Staal WG et al. | 2015 | European neuropsychopharmacology |
| 25266122 | Addiction-related genes in gambling disorders: new insights from parallel human and pre-clinical models. | Lobo DS et al. | 2015 | Molecular psychiatry |
| 25792691 | DRD3 gene and striatum in autism spectrum disorder. | Staal WG et al. | 2015 | The British journal of psychiatry |
| 25807276 | Analysis of pharmacogenomic variants associated with population differentiation. | Yeon B et al. | 2015 | PloS one |
| 26322220 | A comprehensive meta-analysis of common genetic variants in autism spectrum conditions. | Warrier V et al. | 2015 | Molecular autism |
| 26555434 | Prevalence of pain-related single nucleotide polymorphisms in patients of African origin with sickle cell disease. | Jhun EH et al. | 2015 | Pharmacogenomics |
| 27247849 | Genetic variation and cognitive dysfunction in opioid-treated patients with cancer. | Kurita GP et al. | 2016 | Brain and behavior |
| 30093869 | Biological Predictors of Clozapine Response: A Systematic Review. | Samanaite R et al. | 2018 | Frontiers in psychiatry |
| 30967134 | A pharmacogenetic study of patients with schizophrenia from West Siberia gets insight into dopaminergic mechanisms of antipsychotic-induced hyperprolactinemia. | Osmanova DZ et al. | 2019 | BMC medical genetics |
| 33644845 | Association between autism spectrum disorder and polymorphisms in genes encoding serotine and dopamine receptors. | Liu J et al. | 2021 | Metabolic brain disease |
| 34440083 | Candidate Genes Encoding Dopamine Receptors as Predictors of the Risk of Antipsychotic-Induced Parkinsonism and Tardive Dyskinesia in Schizophrenic Patients. | Vaiman EE et al. | 2021 | Biomedicines |
| 35140610 | Genetic Factors Associated With Tardive Dyskinesia: From Pre-clinical Models to Clinical Studies. | Tsermpini EE et al. | 2021 | Frontiers in pharmacology |
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
Top▲
Help
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.