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.
rs2242446
Current Build 156
Released September 21, 2022
- Organism
- Homo sapiens
- Position
-
chr16:55656513 (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>G / C>T
- Variation Type
- SNV Single Nucleotide Variation
- Frequency
-
C=0.283916 (83373/293654, ALFA)C=0.250599 (66331/264690, TOPMED)C=0.251477 (35165/139834, GnomAD) (+ 21 more)
- Clinical Significance
- Not Reported in ClinVar
- Gene : Consequence
-
SLC6A2 : Intron VariantLOC124903693 : 2KB Upstream Variant
- Publications
- 32 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 | 298690 | C=0.283468 | A=0.000000, T=0.716532 |
European | Sub | 263316 | C=0.287457 | A=0.000000, T=0.712543 |
African | Sub | 9416 | C=0.1946 | A=0.0000, T=0.8054 |
African Others | Sub | 352 | C=0.173 | A=0.000, T=0.827 |
African American | Sub | 9064 | C=0.1954 | A=0.0000, T=0.8046 |
Asian | Sub | 3806 | C=0.3135 | A=0.0000, T=0.6865 |
East Asian | Sub | 3080 | C=0.3247 | A=0.0000, T=0.6753 |
Other Asian | Sub | 726 | C=0.266 | A=0.000, T=0.734 |
Latin American 1 | Sub | 996 | C=0.265 | A=0.000, T=0.735 |
Latin American 2 | Sub | 6642 | C=0.2450 | A=0.0000, T=0.7550 |
South Asian | Sub | 5128 | C=0.2742 | A=0.0000, T=0.7258 |
Other | Sub | 9386 | C=0.2829 | A=0.0000, T=0.7171 |
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 | 293654 | C=0.283916 | A=0.000000, T=0.716084 |
Allele Frequency Aggregator | European | Sub | 260222 | C=0.287401 | A=0.000000, T=0.712599 |
Allele Frequency Aggregator | Other | Sub | 8586 | C=0.2870 | A=0.0000, T=0.7130 |
Allele Frequency Aggregator | African | Sub | 8274 | C=0.1971 | A=0.0000, T=0.8029 |
Allele Frequency Aggregator | Latin American 2 | Sub | 6642 | C=0.2450 | A=0.0000, T=0.7550 |
Allele Frequency Aggregator | South Asian | Sub | 5128 | C=0.2742 | A=0.0000, T=0.7258 |
Allele Frequency Aggregator | Asian | Sub | 3806 | C=0.3135 | A=0.0000, T=0.6865 |
Allele Frequency Aggregator | Latin American 1 | Sub | 996 | C=0.265 | A=0.000, T=0.735 |
TopMed | Global | Study-wide | 264690 | C=0.250599 | T=0.749401 |
gnomAD - Genomes | Global | Study-wide | 139834 | C=0.251477 | T=0.748523 |
gnomAD - Genomes | European | Sub | 75752 | C=0.28286 | T=0.71714 |
gnomAD - Genomes | African | Sub | 41866 | C=0.18822 | T=0.81178 |
gnomAD - Genomes | American | Sub | 13626 | C=0.24769 | T=0.75231 |
gnomAD - Genomes | Ashkenazi Jewish | Sub | 3324 | C=0.2930 | T=0.7070 |
gnomAD - Genomes | East Asian | Sub | 3122 | C=0.3104 | T=0.6896 |
gnomAD - Genomes | Other | Sub | 2144 | C=0.2519 | T=0.7481 |
The PAGE Study | Global | Study-wide | 78510 | C=0.24106 | T=0.75894 |
The PAGE Study | AfricanAmerican | Sub | 32432 | C=0.19206 | T=0.80794 |
The PAGE Study | Mexican | Sub | 10792 | C=0.23768 | T=0.76232 |
The PAGE Study | Asian | Sub | 8304 | C=0.3521 | T=0.6479 |
The PAGE Study | PuertoRican | Sub | 7894 | C=0.2536 | T=0.7464 |
The PAGE Study | NativeHawaiian | Sub | 4514 | C=0.3257 | T=0.6743 |
The PAGE Study | Cuban | Sub | 4224 | C=0.2791 | T=0.7209 |
The PAGE Study | Dominican | Sub | 3816 | C=0.2390 | T=0.7610 |
The PAGE Study | CentralAmerican | Sub | 2444 | C=0.2643 | T=0.7357 |
The PAGE Study | SouthAmerican | Sub | 1980 | C=0.2253 | T=0.7747 |
The PAGE Study | NativeAmerican | Sub | 1254 | C=0.2536 | T=0.7464 |
The PAGE Study | SouthAsian | Sub | 856 | C=0.275 | T=0.725 |
14KJPN | JAPANESE | Study-wide | 28256 | C=0.36743 | T=0.63257 |
8.3KJPN | JAPANESE | Study-wide | 16758 | C=0.36693 | T=0.63307 |
1000Genomes_30x | Global | Study-wide | 6404 | C=0.2447 | T=0.7553 |
1000Genomes_30x | African | Sub | 1786 | C=0.1708 | T=0.8292 |
1000Genomes_30x | Europe | Sub | 1266 | C=0.2662 | T=0.7338 |
1000Genomes_30x | South Asian | Sub | 1202 | C=0.2795 | T=0.7205 |
1000Genomes_30x | East Asian | Sub | 1170 | C=0.3111 | T=0.6889 |
1000Genomes_30x | American | Sub | 980 | C=0.230 | T=0.770 |
1000Genomes | Global | Study-wide | 5008 | C=0.2470 | T=0.7530 |
1000Genomes | African | Sub | 1322 | C=0.1793 | T=0.8207 |
1000Genomes | East Asian | Sub | 1008 | C=0.3155 | T=0.6845 |
1000Genomes | Europe | Sub | 1006 | C=0.2575 | T=0.7425 |
1000Genomes | South Asian | Sub | 978 | C=0.274 | T=0.726 |
1000Genomes | American | Sub | 694 | C=0.223 | T=0.777 |
Genetic variation in the Estonian population | Estonian | Study-wide | 4480 | C=0.2873 | T=0.7127 |
The Avon Longitudinal Study of Parents and Children | PARENT AND CHILD COHORT | Study-wide | 3854 | C=0.2932 | T=0.7068 |
UK 10K study - Twins | TWIN COHORT | Study-wide | 3708 | C=0.2845 | T=0.7155 |
KOREAN population from KRGDB | KOREAN | Study-wide | 2928 | C=0.3286 | G=0.0000, T=0.6714 |
HGDP-CEPH-db Supplement 1 | Global | Study-wide | 2084 | C=0.2682 | T=0.7318 |
HGDP-CEPH-db Supplement 1 | Est_Asia | Sub | 470 | C=0.328 | T=0.672 |
HGDP-CEPH-db Supplement 1 | Central_South_Asia | Sub | 414 | C=0.215 | T=0.785 |
HGDP-CEPH-db Supplement 1 | Middle_Est | Sub | 350 | C=0.351 | T=0.649 |
HGDP-CEPH-db Supplement 1 | Europe | Sub | 320 | C=0.331 | T=0.669 |
HGDP-CEPH-db Supplement 1 | Africa | Sub | 242 | C=0.194 | T=0.806 |
HGDP-CEPH-db Supplement 1 | America | Sub | 216 | C=0.176 | T=0.824 |
HGDP-CEPH-db Supplement 1 | Oceania | Sub | 72 | C=0.03 | T=0.97 |
HapMap | Global | Study-wide | 1892 | C=0.2548 | T=0.7452 |
HapMap | American | Sub | 770 | C=0.260 | T=0.740 |
HapMap | African | Sub | 692 | C=0.231 | T=0.769 |
HapMap | Asian | Sub | 254 | C=0.323 | T=0.677 |
HapMap | Europe | Sub | 176 | C=0.227 | T=0.773 |
Korean Genome Project | KOREAN | Study-wide | 1794 | C=0.3144 | T=0.6856 |
CNV burdens in cranial meningiomas | Global | Study-wide | 790 | C=0.301 | T=0.699 |
CNV burdens in cranial meningiomas | CRM | Sub | 790 | C=0.301 | T=0.699 |
Northern Sweden | ACPOP | Study-wide | 600 | C=0.267 | T=0.733 |
SGDP_PRJ | Global | Study-wide | 514 | C=0.177 | T=0.823 |
PharmGKB Aggregated | Global | Study-wide | 510 | C=0.255 | T=0.745 |
PharmGKB Aggregated | PA163004589 | Sub | 510 | C=0.255 | T=0.745 |
Qatari | Global | Study-wide | 216 | C=0.310 | T=0.690 |
A Vietnamese Genetic Variation Database | Global | Study-wide | 210 | C=0.348 | T=0.652 |
Ancient Sardinia genome-wide 1240k capture data generation and analysis | Global | Study-wide | 60 | C=0.33 | T=0.67 |
Siberian | Global | Study-wide | 52 | C=0.17 | T=0.83 |
The Danish reference pan genome | Danish | Study-wide | 40 | C=0.23 | T=0.78 |
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 16 | NC_000016.10:g.55656513C>A |
GRCh38.p14 chr 16 | NC_000016.10:g.55656513C>G |
GRCh38.p14 chr 16 | NC_000016.10:g.55656513C>T |
GRCh37.p13 chr 16 | NC_000016.9:g.55690425C>A |
GRCh37.p13 chr 16 | NC_000016.9:g.55690425C>G |
GRCh37.p13 chr 16 | NC_000016.9:g.55690425C>T |
SLC6A2 RefSeqGene | NG_016969.1:g.5884C>A |
SLC6A2 RefSeqGene | NG_016969.1:g.5884C>G |
SLC6A2 RefSeqGene | NG_016969.1:g.5884C>T |
Molecule type | Change | Amino acid[Codon] | SO Term |
---|---|---|---|
SLC6A2 transcript variant 2 |
NM_001172501.3:c.-51-131C… NM_001172501.3:c.-51-131C>A |
N/A | Intron Variant |
SLC6A2 transcript variant 3 | NM_001043.3:c.-182= | N/A | 5 Prime UTR Variant |
SLC6A2 transcript variant 4 | NM_001172502.1:c. | N/A | Genic Upstream Transcript Variant |
SLC6A2 transcript variant 1 | NM_001172504.1:c. | N/A | Genic Upstream Transcript Variant |
SLC6A2 transcript variant X1 |
XM_006721263.2:c.-51-131C… XM_006721263.2:c.-51-131C>A |
N/A | Intron Variant |
SLC6A2 transcript variant X2 |
XM_011523295.3:c.-51-131C… XM_011523295.3:c.-51-131C>A |
N/A | Intron Variant |
SLC6A2 transcript variant X3 |
XM_047434510.1:c.-51-131C… XM_047434510.1:c.-51-131C>A |
N/A | Intron Variant |
SLC6A2 transcript variant X4 |
XM_047434511.1:c.-51-131C… XM_047434511.1:c.-51-131C>A |
N/A | Intron Variant |
SLC6A2 transcript variant X5 |
XM_047434512.1:c.-51-131C… XM_047434512.1:c.-51-131C>A |
N/A | Intron Variant |
SLC6A2 transcript variant X6 |
XM_047434513.1:c.-51-131C… XM_047434513.1:c.-51-131C>A |
N/A | Intron Variant |
SLC6A2 transcript variant X7 | XM_011523299.3:c. | N/A | Genic Upstream Transcript Variant |
SLC6A2 transcript variant X8 | XM_011523300.3:c. | N/A | Genic Upstream Transcript Variant |
Molecule type | Change | Amino acid[Codon] | SO Term |
---|---|---|---|
LOC124903693 transcript | XR_007065075.1:n. | N/A | Upstream Transcript 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.
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 | G | T |
---|---|---|---|---|
GRCh38.p14 chr 16 | NC_000016.10:g.55656513= | NC_000016.10:g.55656513C>A | NC_000016.10:g.55656513C>G | NC_000016.10:g.55656513C>T |
GRCh37.p13 chr 16 | NC_000016.9:g.55690425= | NC_000016.9:g.55690425C>A | NC_000016.9:g.55690425C>G | NC_000016.9:g.55690425C>T |
SLC6A2 RefSeqGene | NG_016969.1:g.5884= | NG_016969.1:g.5884C>A | NG_016969.1:g.5884C>G | NG_016969.1:g.5884C>T |
SLC6A2 transcript variant 3 | NM_001043.3:c.-182= | NM_001043.3:c.-182C>A | NM_001043.3:c.-182C>G | NM_001043.3:c.-182C>T |
SLC6A2 transcript variant 2 | NM_001172501.1:c.-51-131= | NM_001172501.1:c.-51-131C>A | NM_001172501.1:c.-51-131C>G | NM_001172501.1:c.-51-131C>T |
SLC6A2 transcript variant 2 | NM_001172501.3:c.-51-131= | NM_001172501.3:c.-51-131C>A | NM_001172501.3:c.-51-131C>G | NM_001172501.3:c.-51-131C>T |
SLC6A2 transcript variant X1 | XM_006721263.2:c.-51-131= | XM_006721263.2:c.-51-131C>A | XM_006721263.2:c.-51-131C>G | XM_006721263.2:c.-51-131C>T |
SLC6A2 transcript variant X2 | XM_011523295.3:c.-51-131= | XM_011523295.3:c.-51-131C>A | XM_011523295.3:c.-51-131C>G | XM_011523295.3:c.-51-131C>T |
SLC6A2 transcript variant X3 | XM_047434510.1:c.-51-131= | XM_047434510.1:c.-51-131C>A | XM_047434510.1:c.-51-131C>G | XM_047434510.1:c.-51-131C>T |
SLC6A2 transcript variant X4 | XM_047434511.1:c.-51-131= | XM_047434511.1:c.-51-131C>A | XM_047434511.1:c.-51-131C>G | XM_047434511.1:c.-51-131C>T |
SLC6A2 transcript variant X5 | XM_047434512.1:c.-51-131= | XM_047434512.1:c.-51-131C>A | XM_047434512.1:c.-51-131C>G | XM_047434512.1:c.-51-131C>T |
SLC6A2 transcript variant X6 | XM_047434513.1:c.-51-131= | XM_047434513.1:c.-51-131C>A | XM_047434513.1:c.-51-131C>G | XM_047434513.1:c.-51-131C>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 | YUSUKE | ss3198762 | Aug 15, 2001 (98) |
2 | ILLUMINA | ss66644236 | Nov 29, 2006 (127) |
3 | ILLUMINA | ss67237112 | Nov 29, 2006 (127) |
4 | ILLUMINA | ss67633367 | Nov 29, 2006 (127) |
5 | ILLUMINA | ss70715440 | May 25, 2008 (130) |
6 | ILLUMINA | ss71283278 | May 16, 2007 (127) |
7 | ILLUMINA | ss75543556 | Dec 07, 2007 (129) |
8 | HGSV | ss78112646 | Dec 07, 2007 (129) |
9 | ILLUMINA | ss79122869 | Dec 15, 2007 (130) |
10 | HGSV | ss81249933 | Dec 15, 2007 (130) |
11 | KRIBB_YJKIM | ss84006553 | Dec 15, 2007 (130) |
12 | HGSV | ss84528918 | Dec 15, 2007 (130) |
13 | BCMHGSC_JDW | ss90401906 | Mar 24, 2008 (129) |
14 | BGI | ss106473245 | Feb 05, 2009 (130) |
15 | 1000GENOMES | ss115128225 | Jan 25, 2009 (130) |
16 | ILLUMINA-UK | ss118262503 | Feb 14, 2009 (130) |
17 | ILLUMINA | ss121963886 | Dec 01, 2009 (131) |
18 | ENSEMBL | ss133794167 | Dec 01, 2009 (131) |
19 | ENSEMBL | ss136737309 | Dec 01, 2009 (131) |
20 | ILLUMINA | ss153892670 | Dec 01, 2009 (131) |
21 | GMI | ss157386418 | Dec 01, 2009 (131) |
22 | ILLUMINA | ss159371762 | Dec 01, 2009 (131) |
23 | ILLUMINA | ss160520574 | Dec 01, 2009 (131) |
24 | COMPLETE_GENOMICS | ss168255953 | Jul 04, 2010 (132) |
25 | ILLUMINA | ss171117651 | Jul 04, 2010 (132) |
26 | ILLUMINA | ss173208990 | Jul 04, 2010 (132) |
27 | BUSHMAN | ss201727157 | Jul 04, 2010 (132) |
28 | BCM-HGSC-SUB | ss207715222 | Jul 04, 2010 (132) |
29 | 1000GENOMES | ss210896737 | Jul 14, 2010 (132) |
30 | 1000GENOMES | ss227256605 | Jul 14, 2010 (132) |
31 | 1000GENOMES | ss237035557 | Jul 15, 2010 (132) |
32 | 1000GENOMES | ss243372927 | Jul 15, 2010 (132) |
33 | BL | ss255722301 | May 09, 2011 (134) |
34 | GMI | ss282542108 | May 04, 2012 (137) |
35 | PHARMGKB_PMT | ss290492598 | May 09, 2011 (134) |
36 | PJP | ss291848436 | May 09, 2011 (134) |
37 | ILLUMINA | ss480481611 | May 04, 2012 (137) |
38 | ILLUMINA | ss480495981 | May 04, 2012 (137) |
39 | ILLUMINA | ss481296621 | Sep 08, 2015 (146) |
40 | ILLUMINA | ss485038294 | May 04, 2012 (137) |
41 | ILLUMINA | ss535980610 | Sep 08, 2015 (146) |
42 | SSMP | ss660688859 | Apr 25, 2013 (138) |
43 | ILLUMINA | ss778487269 | Sep 08, 2015 (146) |
44 | ILLUMINA | ss782965386 | Sep 08, 2015 (146) |
45 | ILLUMINA | ss783927216 | Sep 08, 2015 (146) |
46 | ILLUMINA | ss825453387 | Apr 01, 2015 (144) |
47 | ILLUMINA | ss832221655 | Sep 08, 2015 (146) |
48 | ILLUMINA | ss832883583 | Jul 13, 2019 (153) |
49 | ILLUMINA | ss833943221 | Sep 08, 2015 (146) |
50 | EVA-GONL | ss992515737 | Aug 21, 2014 (142) |
51 | PMT | ss1040217376 | Aug 21, 2014 (142) |
52 | JMKIDD_LAB | ss1080642998 | Aug 21, 2014 (142) |
53 | 1000GENOMES | ss1356350628 | Aug 21, 2014 (142) |
54 | DDI | ss1427855340 | Apr 01, 2015 (144) |
55 | EVA_GENOME_DK | ss1577924552 | Apr 01, 2015 (144) |
56 | EVA_UK10K_ALSPAC | ss1634478623 | Apr 01, 2015 (144) |
57 | EVA_UK10K_TWINSUK | ss1677472656 | Apr 01, 2015 (144) |
58 | EVA_DECODE | ss1696550321 | Apr 01, 2015 (144) |
59 | EVA_SVP | ss1713541207 | Apr 01, 2015 (144) |
60 | ILLUMINA | ss1752195320 | Sep 08, 2015 (146) |
61 | HAMMER_LAB | ss1808524803 | Sep 08, 2015 (146) |
62 | WEILL_CORNELL_DGM | ss1935951974 | Feb 12, 2016 (147) |
63 | ILLUMINA | ss1946415396 | Feb 12, 2016 (147) |
64 | ILLUMINA | ss1959680750 | Feb 12, 2016 (147) |
65 | GENOMED | ss1968267687 | Jul 19, 2016 (147) |
66 | JJLAB | ss2028759050 | Sep 14, 2016 (149) |
67 | USC_VALOUEV | ss2157195371 | Dec 20, 2016 (150) |
68 | HUMAN_LONGEVITY | ss2212376426 | Dec 20, 2016 (150) |
69 | SYSTEMSBIOZJU | ss2628871139 | Nov 08, 2017 (151) |
70 | ILLUMINA | ss2633321364 | Nov 08, 2017 (151) |
71 | GRF | ss2701719260 | Nov 08, 2017 (151) |
72 | ILLUMINA | ss2710833941 | Nov 08, 2017 (151) |
73 | GNOMAD | ss2943307591 | Nov 08, 2017 (151) |
74 | SWEGEN | ss3014555086 | Nov 08, 2017 (151) |
75 | ILLUMINA | ss3021708421 | Nov 08, 2017 (151) |
76 | BIOINF_KMB_FNS_UNIBA | ss3028198174 | Nov 08, 2017 (151) |
77 | CSHL | ss3351463925 | Nov 08, 2017 (151) |
78 | ILLUMINA | ss3625693427 | Oct 12, 2018 (152) |
79 | ILLUMINA | ss3627529095 | Oct 12, 2018 (152) |
80 | ILLUMINA | ss3631307580 | Oct 12, 2018 (152) |
81 | ILLUMINA | ss3633121584 | Oct 12, 2018 (152) |
82 | ILLUMINA | ss3633827687 | Oct 12, 2018 (152) |
83 | ILLUMINA | ss3634643134 | Oct 12, 2018 (152) |
84 | ILLUMINA | ss3635515977 | Oct 12, 2018 (152) |
85 | ILLUMINA | ss3636334616 | Oct 12, 2018 (152) |
86 | ILLUMINA | ss3637267414 | Oct 12, 2018 (152) |
87 | ILLUMINA | ss3638126545 | Oct 12, 2018 (152) |
88 | ILLUMINA | ss3639074689 | Oct 12, 2018 (152) |
89 | ILLUMINA | ss3639543560 | Oct 12, 2018 (152) |
90 | ILLUMINA | ss3640350453 | Oct 12, 2018 (152) |
91 | ILLUMINA | ss3643107658 | Oct 12, 2018 (152) |
92 | ILLUMINA | ss3644668476 | Oct 12, 2018 (152) |
93 | URBANLAB | ss3650515924 | Oct 12, 2018 (152) |
94 | ILLUMINA | ss3652117361 | Oct 12, 2018 (152) |
95 | EGCUT_WGS | ss3681532627 | Jul 13, 2019 (153) |
96 | EVA_DECODE | ss3699314251 | Jul 13, 2019 (153) |
97 | ILLUMINA | ss3725564046 | Jul 13, 2019 (153) |
98 | ACPOP | ss3741533436 | Jul 13, 2019 (153) |
99 | ILLUMINA | ss3744141527 | Jul 13, 2019 (153) |
100 | ILLUMINA | ss3744943564 | Jul 13, 2019 (153) |
101 | EVA | ss3753969487 | Jul 13, 2019 (153) |
102 | PAGE_CC | ss3771881125 | Jul 13, 2019 (153) |
103 | ILLUMINA | ss3772441826 | Jul 13, 2019 (153) |
104 | KHV_HUMAN_GENOMES | ss3819257127 | Jul 13, 2019 (153) |
105 | EVA | ss3825879381 | Apr 27, 2020 (154) |
106 | EVA | ss3834583134 | Apr 27, 2020 (154) |
107 | EVA | ss3840897260 | Apr 27, 2020 (154) |
108 | EVA | ss3846389173 | Apr 27, 2020 (154) |
109 | HGDP | ss3847546041 | Apr 27, 2020 (154) |
110 | SGDP_PRJ | ss3884492108 | Apr 27, 2020 (154) |
111 | KRGDB | ss3933982092 | Apr 27, 2020 (154) |
112 | KOGIC | ss3977640034 | Apr 27, 2020 (154) |
113 | EVA | ss3984713272 | Apr 26, 2021 (155) |
114 | EVA | ss3985758408 | Apr 26, 2021 (155) |
115 | TOPMED | ss5016299615 | Apr 26, 2021 (155) |
116 | TOMMO_GENOMICS | ss5219689672 | Apr 26, 2021 (155) |
117 | EVA | ss5237234428 | Apr 26, 2021 (155) |
118 | 1000G_HIGH_COVERAGE | ss5301051299 | Oct 16, 2022 (156) |
119 | EVA | ss5315839881 | Oct 16, 2022 (156) |
120 | EVA | ss5423882100 | Oct 16, 2022 (156) |
121 | HUGCELL_USP | ss5494394345 | Oct 16, 2022 (156) |
122 | EVA | ss5511617821 | Oct 16, 2022 (156) |
123 | 1000G_HIGH_COVERAGE | ss5603747047 | Oct 16, 2022 (156) |
124 | EVA | ss5624062556 | Oct 16, 2022 (156) |
125 | SANFORD_IMAGENETICS | ss5624380746 | Oct 16, 2022 (156) |
126 | SANFORD_IMAGENETICS | ss5658955905 | Oct 16, 2022 (156) |
127 | TOMMO_GENOMICS | ss5774732996 | Oct 16, 2022 (156) |
128 | EVA | ss5799958516 | Oct 16, 2022 (156) |
129 | EVA | ss5800200925 | Oct 16, 2022 (156) |
130 | YY_MCH | ss5815995589 | Oct 16, 2022 (156) |
131 | EVA | ss5846445105 | Oct 16, 2022 (156) |
132 | EVA | ss5847462946 | Oct 16, 2022 (156) |
133 | EVA | ss5847771720 | Oct 16, 2022 (156) |
134 | EVA | ss5851576595 | Oct 16, 2022 (156) |
135 | EVA | ss5899205820 | Oct 16, 2022 (156) |
136 | EVA | ss5950349184 | Oct 16, 2022 (156) |
137 | EVA | ss5979486073 | Oct 16, 2022 (156) |
138 | EVA | ss5980922418 | Oct 16, 2022 (156) |
139 | EVA | ss5981295362 | Oct 16, 2022 (156) |
140 | 1000Genomes | NC_000016.9 - 55690425 | Oct 12, 2018 (152) |
141 | 1000Genomes_30x | NC_000016.10 - 55656513 | Oct 16, 2022 (156) |
142 | The Avon Longitudinal Study of Parents and Children | NC_000016.9 - 55690425 | Oct 12, 2018 (152) |
143 | Genetic variation in the Estonian population | NC_000016.9 - 55690425 | Oct 12, 2018 (152) |
144 | The Danish reference pan genome | NC_000016.9 - 55690425 | Apr 27, 2020 (154) |
145 | gnomAD - Genomes | NC_000016.10 - 55656513 | Apr 26, 2021 (155) |
146 | HGDP-CEPH-db Supplement 1 | NC_000016.8 - 54247926 | Apr 27, 2020 (154) |
147 | HapMap | NC_000016.10 - 55656513 | Apr 27, 2020 (154) |
148 | KOREAN population from KRGDB | NC_000016.9 - 55690425 | Apr 27, 2020 (154) |
149 | Korean Genome Project | NC_000016.10 - 55656513 | Apr 27, 2020 (154) |
150 | Northern Sweden | NC_000016.9 - 55690425 | Jul 13, 2019 (153) |
151 | The PAGE Study | NC_000016.10 - 55656513 | Jul 13, 2019 (153) |
152 | Ancient Sardinia genome-wide 1240k capture data generation and analysis | NC_000016.9 - 55690425 | Apr 26, 2021 (155) |
153 | CNV burdens in cranial meningiomas | NC_000016.9 - 55690425 | Apr 26, 2021 (155) |
154 | PharmGKB Aggregated | NC_000016.10 - 55656513 | Apr 27, 2020 (154) |
155 | Qatari | NC_000016.9 - 55690425 | Apr 27, 2020 (154) |
156 | SGDP_PRJ | NC_000016.9 - 55690425 | Apr 27, 2020 (154) |
157 | Siberian | NC_000016.9 - 55690425 | Apr 27, 2020 (154) |
158 | 8.3KJPN | NC_000016.9 - 55690425 | Apr 26, 2021 (155) |
159 | 14KJPN | NC_000016.10 - 55656513 | Oct 16, 2022 (156) |
160 | TopMed | NC_000016.10 - 55656513 | Apr 26, 2021 (155) |
161 | UK 10K study - Twins | NC_000016.9 - 55690425 | Oct 12, 2018 (152) |
162 | A Vietnamese Genetic Variation Database | NC_000016.9 - 55690425 | Jul 13, 2019 (153) |
163 | ALFA | NC_000016.10 - 55656513 | Apr 26, 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) |
---|---|
rs59199002 | May 25, 2008 (130) |
Submission IDs | Observation SPDI | Canonical SPDI | Source RSIDs |
---|---|---|---|
4758722517 | NC_000016.10:55656512:C:A | NC_000016.10:55656512:C:A | (self) |
41159486, ss3933982092 | NC_000016.9:55690424:C:G | NC_000016.10:55656512:C:G | (self) |
223933, ss78112646, ss81249933, ss84528918, ss90401906, ss115128225, ss118262503, ss168255953, ss201727157, ss207715222, ss210896737, ss255722301, ss282542108, ss291848436, ss480481611, ss825453387, ss1696550321, ss1713541207, ss3639074689, ss3639543560, ss3643107658, ss3847546041 | NC_000016.8:54247925:C:T | NC_000016.10:55656512:C:T | (self) |
69516414, 38560122, 27270875, 4136645, 41159486, 14818301, 984335, 262807, 17993896, 36509088, 9711725, 77658979, 38560122, 8554906, ss227256605, ss237035557, ss243372927, ss480495981, ss481296621, ss485038294, ss535980610, ss660688859, ss778487269, ss782965386, ss783927216, ss832221655, ss832883583, ss833943221, ss992515737, ss1040217376, ss1080642998, ss1356350628, ss1427855340, ss1577924552, ss1634478623, ss1677472656, ss1752195320, ss1808524803, ss1935951974, ss1946415396, ss1959680750, ss1968267687, ss2028759050, ss2157195371, ss2628871139, ss2633321364, ss2701719260, ss2710833941, ss2943307591, ss3014555086, ss3021708421, ss3351463925, ss3625693427, ss3627529095, ss3631307580, ss3633121584, ss3633827687, ss3634643134, ss3635515977, ss3636334616, ss3637267414, ss3638126545, ss3640350453, ss3644668476, ss3652117361, ss3681532627, ss3741533436, ss3744141527, ss3744943564, ss3753969487, ss3772441826, ss3825879381, ss3834583134, ss3840897260, ss3884492108, ss3933982092, ss3984713272, ss3985758408, ss5219689672, ss5315839881, ss5423882100, ss5511617821, ss5624062556, ss5624380746, ss5658955905, ss5799958516, ss5800200925, ss5846445105, ss5847462946, ss5847771720, ss5950349184, ss5979486073, ss5980922418, ss5981295362 | NC_000016.9:55690424:C:T | NC_000016.10:55656512:C:T | (self) |
91272982, 490329804, 1387705, 34018035, 1102594, 4227, 108570100, 231845276, 4758722517, ss2212376426, ss3028198174, ss3650515924, ss3699314251, ss3725564046, ss3771881125, ss3819257127, ss3846389173, ss3977640034, ss5016299615, ss5237234428, ss5301051299, ss5494394345, ss5603747047, ss5774732996, ss5815995589, ss5851576595, ss5899205820 | NC_000016.10:55656512:C:T | NC_000016.10:55656512:C:T | (self) |
ss3198762, ss66644236, ss67237112, ss67633367, ss70715440, ss71283278, ss75543556, ss79122869, ss84006553, ss106473245, ss121963886, ss133794167, ss136737309, ss153892670, ss157386418, ss159371762, ss160520574, ss171117651, ss173208990, ss290492598 | NT_010498.15:9304623:C:T | NC_000016.10:55656512: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 |
---|---|---|---|---|
15722184 | Norepinephrine transporter (NET) promoter and 5'-UTR polymorphisms: association analysis in panic disorder. | Lee YJ et al. | 2005 | Neuroscience letters |
17630229 | Norepinephrine transporter polymorphisms T-182C and G1287A are not associated with alcohol dependence and its clinical subgroups. | Huang SY et al. | 2008 | Drug and alcohol dependence |
18081710 | Multivariate permutation analysis associates multiple polymorphisms with subphenotypes of major depression. | Hahn MK et al. | 2008 | Genes, brain, and behavior |
18779921 | The combined effect of norepinephrine transporter gene and negative life events in major depression of Chinese Han population. | Sun N et al. | 2008 | Journal of neural transmission (Vienna, Austria |
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 |
19693267 | Financial and psychological risk attitudes associated with two single nucleotide polymorphisms in the nicotine receptor (CHRNA4) gene. | Roe BE et al. | 2009 | PloS one |
20863575 | Lack of association between response of OROS-methylphenidate and norepinephrine transporter (SLC6A2) polymorphism in Korean ADHD. | Lee SH et al. | 2011 | Psychiatry research |
21412203 | Genetic variation in the presynaptic norepinephrine transporter is associated with blood pressure responses to exercise in healthy humans. | Kohli U et al. | 2011 | Pharmacogenetics and genomics |
21687501 | Pharmacogenetics of antidepressants. | Crisafulli C et al. | 2011 | Frontiers in pharmacology |
23185385 | Comprehensive phenotype/genotype analyses of the norepinephrine transporter gene (SLC6A2) in ADHD: relation to maternal smoking during pregnancy. | Thakur GA et al. | 2012 | PloS one |
23442739 | Psychomotor depressive symptoms may differentially respond to venlafaxine. | Singh AB et al. | 2013 | International clinical psychopharmacology |
23648227 | Association between major depressive disorder and the norepinephrine transporter polymorphisms T-182C and G1287A: a meta-analysis. | Zhao X et al. | 2013 | Journal of affective disorders |
24655776 | Association between norepinephrine transporter gene (SLC6A2) polymorphisms and suicide in patients with major depressive disorder. | Kim YK et al. | 2014 | Journal of affective disorders |
24881125 | From pharmacogenetics to pharmacogenomics: the way toward the personalization of antidepressant treatment. | Fabbri C et al. | 2014 | Canadian journal of psychiatry. Revue canadienne de psychiatrie |
25912538 | Effects of persisting emotional impact from child abuse and norepinephrine transporter genetic variation on antidepressant efficacy in major depression: a pilot study. | Singh AB et al. | 2015 | Clinical psychopharmacology and neuroscience |
25990886 | Impact of monoamine-related gene polymorphisms on hippocampal volume in treatment-resistant depression. | Phillips JL et al. | 2015 | Acta neuropsychiatrica |
26508020 | Potential involvement of NET polymorphism in serotonin/norepinephrine reuptake inhibitor response in panic disorder. | Park HJ et al. | 2016 | Nordic journal of psychiatry |
26678348 | Effects of norepinephrine transporter gene variants on NET binding in ADHD and healthy controls investigated by PET. | Sigurdardottir HL et al. | 2016 | Human brain mapping |
27147943 | Neuroendocrinological and Epigenetic Mechanisms Subserving Autonomic Imbalance and HPA Dysfunction in the Metabolic Syndrome. | Lemche E et al. | 2016 | Frontiers in neuroscience |
27541794 | Investigating the genetic basis of attention to facial expressions: the role of the norepinephrine transporter gene. | Yang X et al. | 2016 | Psychiatric genetics |
28068779 | Norepinephrine Transporter Gene Variants and Remission From Depression With Venlafaxine Treatment in Older Adults. | Marshe VS et al. | 2017 | The American journal of psychiatry |
28454051 | No association between SLC6A2, SLC6A3, DRD2 polymorphisms and schizophrenia in the Han Chinese population. | Bi Y et al. | 2017 | Psychiatry research |
29198060 | No major role of norepinephrine transporter gene variations in the cardiostimulant effects of MDMA. | Vizeli P et al. | 2018 | European journal of clinical pharmacology |
29374517 | Association analysis of norepinephrine transporter polymorphisms and methylphenidate response in ADHD patients. | Angyal N et al. | 2018 | Progress in neuro-psychopharmacology & biological psychiatry |
29703117 | Association between T-182C, G1287A polymorphism in NET gene and suicidality in major depressive disorder in Chinese patients. | Cao SX et al. | 2018 | International journal of psychiatry in clinical practice |
30093869 | Biological Predictors of Clozapine Response: A Systematic Review. | Samanaite R et al. | 2018 | Frontiers in psychiatry |
30292339 | Meta-analysis on the Association Between Norepinephrine Transporter Gene rs2242446, rs5569 Polymorphisms and Risk of Major Depressive Disorder. | Rui H et al. | 2018 | Archives of medical research |
30692908 | Differential Genetic Effect of the Norepinephrine Transporter Promoter Polymorphisms on Attention Problems in Clinical and Non-clinical Samples. | Nemoda Z et al. | 2018 | Frontiers in neuroscience |
32339102 | Age-dependent association of polymorphisms in the promoter and 5'-untranslated region of the norepinephrine transporter gene with generalized anxiety disorder. | Chang HA et al. | 2020 | Journal of affective disorders |
33290143 | The T-182C Polymorphism Enhances Promoter Activity of the Norepinephrine Transporter Gene, but may not be Associated with Antidepressant Response. | Zhao X et al. | 2020 | Genetic testing and molecular biomarkers |
33340618 | Association between genetic variants of the norepinephrine transporter gene (SLC6A2) and bipolar I disorder. | Kim SY et al. | 2021 | Progress in neuro-psychopharmacology & biological psychiatry |
34797323 | Noradrenergic genes polymorphisms and response to methylphenidate in children with ADHD: A systematic review and meta-analysis. | Yuan D et al. | 2021 | Medicine |
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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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.