Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation

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.

rs1406946

Current Build 156

Released September 21, 2022

Organism
Homo sapiens
Position
chr6:86937873 (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>T
Variation Type
SNV Single Nucleotide Variation
Frequency
T=0.338260 (89534/264690, TOPMED)
T=0.355334 (49778/140088, GnomAD)
T=0.42322 (15218/35958, ALFA) (+ 15 more)
T=0.17797 (5029/28258, 14KJPN)
T=0.17721 (2970/16760, 8.3KJPN)
T=0.2948 (1888/6404, 1000G_30x)
T=0.2991 (1498/5008, 1000G)
C=0.4683 (2098/4480, Estonian)
T=0.2724 (798/2930, KOREAN)
T=0.2167 (410/1892, HapMap)
T=0.2904 (532/1832, Korea1K)
T=0.481 (480/998, GoNL)
T=0.487 (292/600, NorthernSweden)
T=0.275 (147/534, MGP)
C=0.351 (92/262, SGDP_PRJ)
T=0.324 (70/216, Qatari)
C=0.38 (15/40, GENOME_DK)
C=0.45 (17/38, Siberian)
Clinical Significance
Not Reported in ClinVar
Gene : Consequence
HTR1E : Intron Variant
Publications
1 citation
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 35958 C=0.57678 T=0.42322
European Sub 28510 C=0.52946 T=0.47054
African Sub 4312 C=0.8639 T=0.1361
African Others Sub 158 C=0.930 T=0.070
African American Sub 4154 C=0.8613 T=0.1387
Asian Sub 136 C=0.699 T=0.301
East Asian Sub 108 C=0.667 T=0.333
Other Asian Sub 28 C=0.82 T=0.18
Latin American 1 Sub 180 C=0.683 T=0.317
Latin American 2 Sub 754 C=0.621 T=0.379
South Asian Sub 114 C=0.518 T=0.482
Other Sub 1952 C=0.6019 T=0.3981


Help

Frequency tab displays a table of the reference and alternate allele frequencies reported by various studies and populations. Table lines, where Population="Global" refer to the entire study population, whereas lines, where Group="Sub", refer to a study-specific population subgroupings (i.e. AFR, CAU, etc.), if available. Frequency for the alternate allele (Alt Allele) is a ratio of samples observed-to-total, where the numerator (observed samples) is the number of chromosomes in the study with the minor allele present (found in "Sample size", where Group="Sub"), and the denominator (total samples) is the total number of all chromosomes in the study for the variant (found in "Sample size", where Group="Study-wide" and Population="Global").

Download
Study Population Group Sample Size Ref Allele Alt Allele
TopMed Global Study-wide 264690 C=0.661740 T=0.338260
gnomAD - Genomes Global Study-wide 140088 C=0.644666 T=0.355334
gnomAD - Genomes European Sub 75840 C=0.53070 T=0.46930
gnomAD - Genomes African Sub 42008 C=0.85934 T=0.14066
gnomAD - Genomes American Sub 13644 C=0.63185 T=0.36815
gnomAD - Genomes Ashkenazi Jewish Sub 3322 C=0.5557 T=0.4443
gnomAD - Genomes East Asian Sub 3124 C=0.6767 T=0.3233
gnomAD - Genomes Other Sub 2150 C=0.6428 T=0.3572
Allele Frequency Aggregator Total Global 35958 C=0.57678 T=0.42322
Allele Frequency Aggregator European Sub 28510 C=0.52946 T=0.47054
Allele Frequency Aggregator African Sub 4312 C=0.8639 T=0.1361
Allele Frequency Aggregator Other Sub 1952 C=0.6019 T=0.3981
Allele Frequency Aggregator Latin American 2 Sub 754 C=0.621 T=0.379
Allele Frequency Aggregator Latin American 1 Sub 180 C=0.683 T=0.317
Allele Frequency Aggregator Asian Sub 136 C=0.699 T=0.301
Allele Frequency Aggregator South Asian Sub 114 C=0.518 T=0.482
14KJPN JAPANESE Study-wide 28258 C=0.82203 T=0.17797
8.3KJPN JAPANESE Study-wide 16760 C=0.82279 T=0.17721
1000Genomes_30x Global Study-wide 6404 C=0.7052 T=0.2948
1000Genomes_30x African Sub 1786 C=0.9149 T=0.0851
1000Genomes_30x Europe Sub 1266 C=0.5758 T=0.4242
1000Genomes_30x South Asian Sub 1202 C=0.5874 T=0.4126
1000Genomes_30x East Asian Sub 1170 C=0.6880 T=0.3120
1000Genomes_30x American Sub 980 C=0.655 T=0.345
1000Genomes Global Study-wide 5008 C=0.7009 T=0.2991
1000Genomes African Sub 1322 C=0.9130 T=0.0870
1000Genomes East Asian Sub 1008 C=0.6954 T=0.3046
1000Genomes Europe Sub 1006 C=0.5706 T=0.4294
1000Genomes South Asian Sub 978 C=0.591 T=0.409
1000Genomes American Sub 694 C=0.648 T=0.352
Genetic variation in the Estonian population Estonian Study-wide 4480 C=0.4683 T=0.5317
KOREAN population from KRGDB KOREAN Study-wide 2930 C=0.7276 T=0.2724
HapMap Global Study-wide 1892 C=0.7833 T=0.2167
HapMap American Sub 770 C=0.658 T=0.342
HapMap African Sub 692 C=0.961 T=0.039
HapMap Asian Sub 254 C=0.795 T=0.205
HapMap Europe Sub 176 C=0.614 T=0.386
Korean Genome Project KOREAN Study-wide 1832 C=0.7096 T=0.2904
Genome of the Netherlands Release 5 Genome of the Netherlands Study-wide 998 C=0.519 T=0.481
Northern Sweden ACPOP Study-wide 600 C=0.513 T=0.487
Medical Genome Project healthy controls from Spanish population Spanish controls Study-wide 534 C=0.725 T=0.275
SGDP_PRJ Global Study-wide 262 C=0.351 T=0.649
Qatari Global Study-wide 216 C=0.676 T=0.324
The Danish reference pan genome Danish Study-wide 40 C=0.38 T=0.62
Siberian Global Study-wide 38 C=0.45 T=0.55
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 6 NC_000006.12:g.86937873C>T
GRCh37.p13 chr 6 NC_000006.11:g.87647591C>T
Gene: HTR1E, 5-hydroxytryptamine receptor 1E (plus strand)
Molecule type Change Amino acid[Codon] SO Term
HTR1E transcript NM_000865.3:c.-186+50C>T N/A Intron Variant
HTR1E transcript variant X1 XM_011535789.3:c.-197= N/A 5 Prime UTR 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 C= T
GRCh38.p14 chr 6 NC_000006.12:g.86937873= NC_000006.12:g.86937873C>T
GRCh37.p13 chr 6 NC_000006.11:g.87647591= NC_000006.11:g.87647591C>T
HTR1E transcript variant X1 XM_011535789.3:c.-197= XM_011535789.3:c.-197C>T
HTR1E transcript variant X1 XM_011535789.2:c.-197= XM_011535789.2:c.-197C>T
HTR1E transcript variant X1 XM_011535789.1:c.-197= XM_011535789.1:c.-197C>T
HTR1E transcript NM_000865.2:c.-186+50= NM_000865.2:c.-186+50C>T
HTR1E transcript NM_000865.3:c.-186+50= NM_000865.3:c.-186+50C>T
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#.

81 SubSNP, 18 Frequency submissions
No Submitter Submission ID Date (Build)
1 TSC-CSHL ss2206588 Oct 23, 2000 (88)
2 YUSUKE ss3220569 Sep 28, 2001 (100)
3 SC_JCM ss6166977 Feb 20, 2003 (111)
4 CSHL-HAPMAP ss20274973 Feb 27, 2004 (120)
5 SSAHASNP ss22483987 Apr 05, 2004 (121)
6 ABI ss44729379 Mar 15, 2006 (126)
7 ILLUMINA ss75049903 Dec 07, 2007 (129)
8 BCMHGSC_JDW ss93510986 Mar 24, 2008 (129)
9 HUMANGENOME_JCVI ss98517644 Feb 03, 2009 (130)
10 BGI ss104334468 Dec 01, 2009 (131)
11 KRIBB_YJKIM ss119391294 Dec 01, 2009 (131)
12 ENSEMBL ss142763780 Dec 01, 2009 (131)
13 COMPLETE_GENOMICS ss162582722 Jul 04, 2010 (132)
14 COMPLETE_GENOMICS ss166980417 Jul 04, 2010 (132)
15 ILLUMINA ss172478284 Jul 04, 2010 (132)
16 BCM-HGSC-SUB ss207524527 Jul 04, 2010 (132)
17 1000GENOMES ss222522042 Jul 14, 2010 (132)
18 1000GENOMES ss233572230 Jul 15, 2010 (132)
19 1000GENOMES ss240608961 Jul 15, 2010 (132)
20 BL ss254528813 May 09, 2011 (134)
21 GMI ss278908870 May 04, 2012 (137)
22 GMI ss285456080 Apr 25, 2013 (138)
23 PJP ss293657123 May 09, 2011 (134)
24 ILLUMINA ss483347804 May 04, 2012 (137)
25 ILLUMINA ss485297846 May 04, 2012 (137)
26 ILLUMINA ss535561544 Sep 08, 2015 (146)
27 SSMP ss653336189 Apr 25, 2013 (138)
28 ILLUMINA ss780243377 Sep 08, 2015 (146)
29 ILLUMINA ss782117027 Sep 08, 2015 (146)
30 ILLUMINA ss835728868 Sep 08, 2015 (146)
31 EVA-GONL ss983198290 Aug 21, 2014 (142)
32 JMKIDD_LAB ss1073807207 Aug 21, 2014 (142)
33 1000GENOMES ss1321134327 Aug 21, 2014 (142)
34 DDI ss1430810558 Apr 01, 2015 (144)
35 EVA_GENOME_DK ss1581779074 Apr 01, 2015 (144)
36 EVA_DECODE ss1592749551 Apr 01, 2015 (144)
37 EVA_MGP ss1711137232 Apr 01, 2015 (144)
38 EVA_SVP ss1712879367 Apr 01, 2015 (144)
39 WEILL_CORNELL_DGM ss1926456224 Feb 12, 2016 (147)
40 GENOMED ss1970458534 Jul 19, 2016 (147)
41 JJLAB ss2023871120 Sep 14, 2016 (149)
42 USC_VALOUEV ss2152063266 Dec 20, 2016 (150)
43 HUMAN_LONGEVITY ss2285947498 Dec 20, 2016 (150)
44 SYSTEMSBIOZJU ss2626430798 Nov 08, 2017 (151)
45 ILLUMINA ss2634478284 Nov 08, 2017 (151)
46 GRF ss2707681533 Nov 08, 2017 (151)
47 GNOMAD ss2841828845 Nov 08, 2017 (151)
48 AFFY ss2986005259 Nov 08, 2017 (151)
49 SWEGEN ss2999491267 Nov 08, 2017 (151)
50 BIOINF_KMB_FNS_UNIBA ss3025729327 Nov 08, 2017 (151)
51 CSHL ss3347097408 Nov 08, 2017 (151)
52 ILLUMINA ss3629595342 Oct 12, 2018 (152)
53 ILLUMINA ss3632393280 Oct 12, 2018 (152)
54 ILLUMINA ss3638642283 Oct 12, 2018 (152)
55 ILLUMINA ss3642501972 Oct 12, 2018 (152)
56 ILLUMINA ss3643582482 Oct 12, 2018 (152)
57 URBANLAB ss3648409624 Oct 12, 2018 (152)
58 EGCUT_WGS ss3667370877 Jul 13, 2019 (153)
59 EVA_DECODE ss3717706956 Jul 13, 2019 (153)
60 ACPOP ss3733730611 Jul 13, 2019 (153)
61 EVA ss3765322501 Jul 13, 2019 (153)
62 KHV_HUMAN_GENOMES ss3808472900 Jul 13, 2019 (153)
63 EVA ss3830054053 Apr 26, 2020 (154)
64 SGDP_PRJ ss3865110445 Apr 26, 2020 (154)
65 KRGDB ss3912001184 Apr 26, 2020 (154)
66 KOGIC ss3959525899 Apr 26, 2020 (154)
67 EVA ss4017286013 Apr 26, 2021 (155)
68 TOPMED ss4711729625 Apr 26, 2021 (155)
69 TOMMO_GENOMICS ss5178634631 Apr 26, 2021 (155)
70 1000G_HIGH_COVERAGE ss5269337815 Oct 14, 2022 (156)
71 EVA ss5315171226 Oct 14, 2022 (156)
72 EVA ss5367192140 Oct 14, 2022 (156)
73 HUGCELL_USP ss5466878084 Oct 14, 2022 (156)
74 1000G_HIGH_COVERAGE ss5555737294 Oct 14, 2022 (156)
75 SANFORD_IMAGENETICS ss5640915796 Oct 14, 2022 (156)
76 TOMMO_GENOMICS ss5717139658 Oct 14, 2022 (156)
77 YY_MCH ss5807704922 Oct 14, 2022 (156)
78 EVA ss5842600770 Oct 14, 2022 (156)
79 EVA ss5855460146 Oct 14, 2022 (156)
80 EVA ss5884798671 Oct 14, 2022 (156)
81 EVA ss5969418125 Oct 14, 2022 (156)
82 1000Genomes NC_000006.11 - 87647591 Oct 12, 2018 (152)
83 1000Genomes_30x NC_000006.12 - 86937873 Oct 14, 2022 (156)
84 Genetic variation in the Estonian population NC_000006.11 - 87647591 Oct 12, 2018 (152)
85 The Danish reference pan genome NC_000006.11 - 87647591 Apr 26, 2020 (154)
86 gnomAD - Genomes NC_000006.12 - 86937873 Apr 26, 2021 (155)
87 Genome of the Netherlands Release 5 NC_000006.11 - 87647591 Apr 26, 2020 (154)
88 HapMap NC_000006.12 - 86937873 Apr 26, 2020 (154)
89 KOREAN population from KRGDB NC_000006.11 - 87647591 Apr 26, 2020 (154)
90 Korean Genome Project NC_000006.12 - 86937873 Apr 26, 2020 (154)
91 Medical Genome Project healthy controls from Spanish population NC_000006.11 - 87647591 Apr 26, 2020 (154)
92 Northern Sweden NC_000006.11 - 87647591 Jul 13, 2019 (153)
93 Qatari NC_000006.11 - 87647591 Apr 26, 2020 (154)
94 SGDP_PRJ NC_000006.11 - 87647591 Apr 26, 2020 (154)
95 Siberian NC_000006.11 - 87647591 Apr 26, 2020 (154)
96 8.3KJPN NC_000006.11 - 87647591 Apr 26, 2021 (155)
97 14KJPN NC_000006.12 - 86937873 Oct 14, 2022 (156)
98 TopMed NC_000006.12 - 86937873 Apr 26, 2021 (155)
99 ALFA NC_000006.12 - 86937873 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).

Added to this RefSNP Cluster:
Submission IDs Observation SPDI Canonical SPDI Source RSIDs
ss93510986, ss162582722, ss166980417, ss207524527, ss254528813, ss278908870, ss285456080, ss293657123, ss485297846, ss1592749551, ss1712879367, ss3643582482 NC_000006.10:87704309:C:T NC_000006.12:86937872:C:T (self)
32959266, 13109125, 7944013, 8180331, 19178578, 252992, 7015476, 8498154, 17127425, 4579620, 36603938, ss222522042, ss233572230, ss240608961, ss483347804, ss535561544, ss653336189, ss780243377, ss782117027, ss835728868, ss983198290, ss1073807207, ss1321134327, ss1430810558, ss1581779074, ss1711137232, ss1926456224, ss1970458534, ss2023871120, ss2152063266, ss2626430798, ss2634478284, ss2707681533, ss2841828845, ss2986005259, ss2999491267, ss3347097408, ss3629595342, ss3632393280, ss3638642283, ss3642501972, ss3667370877, ss3733730611, ss3765322501, ss3830054053, ss3865110445, ss3912001184, ss4017286013, ss5178634631, ss5315171226, ss5367192140, ss5640915796, ss5842600770, ss5969418125 NC_000006.11:87647590:C:T NC_000006.12:86937872:C:T (self)
43263229, 232591587, 3184581, 15903900, 50976762, 549107183, 4663673997, ss2285947498, ss3025729327, ss3648409624, ss3717706956, ss3808472900, ss3959525899, ss4711729625, ss5269337815, ss5466878084, ss5555737294, ss5717139658, ss5807704922, ss5855460146, ss5884798671 NC_000006.12:86937872:C:T NC_000006.12:86937872:C:T (self)
ss20274973, ss22483987 NT_007299.12:25467761:C:T NC_000006.12:86937872:C:T (self)
ss2206588, ss3220569, ss6166977, ss44729379, ss75049903, ss98517644, ss104334468, ss119391294, ss142763780, ss172478284 NT_007299.13:25767424:C:T NC_000006.12:86937872:C:T (self)
Help

Publications tab displays PubMed articles citing the variation as a listing of PMID, Title, Author, Year, Journal, ordered by Year, descending.

1 citation for rs1406946
PMID Title Author Year Journal
18937842 The influence of serotonin- and other genes on impulsive behavioral aggression and cognitive impulsivity in children with attention-deficit/hyperactivity disorder (ADHD): Findings from a family-based association test (FBAT) analysis. Oades RD et al. 2008 Behavioral and brain functions
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.

Software version is: 2.0.1.post761+d5e8e07