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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.

rs2622590

Current Build 156

Released September 21, 2022

Organism
Homo sapiens
Position
chr8:55445714 (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
Variation Type
SNV Single Nucleotide Variation
Frequency
A=0.154192 (40813/264690, TOPMED)
A=0.143053 (25575/178780, ALFA)
A=0.144346 (20216/140052, GnomAD) (+ 22 more)
A=0.39338 (11116/28258, 14KJPN)
A=0.39660 (6647/16760, 8.3KJPN)
A=0.2266 (1451/6404, 1000G_30x)
A=0.2322 (1163/5008, 1000G)
A=0.1701 (762/4480, Estonian)
A=0.1373 (529/3854, ALSPAC)
A=0.1238 (459/3708, TWINSUK)
A=0.4242 (1243/2930, KOREAN)
A=0.2879 (600/2084, HGDP_Stanford)
A=0.2162 (409/1892, HapMap)
A=0.4492 (823/1832, Korea1K)
A=0.1952 (221/1132, Daghestan)
A=0.136 (136/998, GoNL)
A=0.448 (352/786, PRJEB37584)
A=0.387 (242/626, Chileans)
A=0.177 (106/600, NorthernSweden)
G=0.367 (99/270, SGDP_PRJ)
A=0.088 (19/216, Qatari)
A=0.355 (76/214, Vietnamese)
A=0.09 (6/70, Ancient Sardinia)
A=0.15 (6/40, GENOME_DK)
G=0.46 (13/28, Siberian)
Clinical Significance
Not Reported in ClinVar
Gene : Consequence
XKR4 : 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 178780 G=0.856947 A=0.143053
European Sub 154866 G=0.864360 A=0.135640
African Sub 8402 G=0.9034 A=0.0966
African Others Sub 294 G=0.939 A=0.061
African American Sub 8108 G=0.9021 A=0.0979
Asian Sub 416 G=0.584 A=0.416
East Asian Sub 282 G=0.557 A=0.443
Other Asian Sub 134 G=0.642 A=0.358
Latin American 1 Sub 560 G=0.848 A=0.152
Latin American 2 Sub 4748 G=0.6973 A=0.3027
South Asian Sub 4992 G=0.7702 A=0.2298
Other Sub 4796 G=0.8092 A=0.1908


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 G=0.845808 A=0.154192
Allele Frequency Aggregator Total Global 178780 G=0.856947 A=0.143053
Allele Frequency Aggregator European Sub 154866 G=0.864360 A=0.135640
Allele Frequency Aggregator African Sub 8402 G=0.9034 A=0.0966
Allele Frequency Aggregator South Asian Sub 4992 G=0.7702 A=0.2298
Allele Frequency Aggregator Other Sub 4796 G=0.8092 A=0.1908
Allele Frequency Aggregator Latin American 2 Sub 4748 G=0.6973 A=0.3027
Allele Frequency Aggregator Latin American 1 Sub 560 G=0.848 A=0.152
Allele Frequency Aggregator Asian Sub 416 G=0.584 A=0.416
gnomAD - Genomes Global Study-wide 140052 G=0.855654 A=0.144346
gnomAD - Genomes European Sub 75864 G=0.85798 A=0.14202
gnomAD - Genomes African Sub 41948 G=0.90352 A=0.09648
gnomAD - Genomes American Sub 13646 G=0.75121 A=0.24879
gnomAD - Genomes Ashkenazi Jewish Sub 3322 G=0.8784 A=0.1216
gnomAD - Genomes East Asian Sub 3120 G=0.5942 A=0.4058
gnomAD - Genomes Other Sub 2152 G=0.8467 A=0.1533
14KJPN JAPANESE Study-wide 28258 G=0.60662 A=0.39338
8.3KJPN JAPANESE Study-wide 16760 G=0.60340 A=0.39660
1000Genomes_30x Global Study-wide 6404 G=0.7734 A=0.2266
1000Genomes_30x African Sub 1786 G=0.9194 A=0.0806
1000Genomes_30x Europe Sub 1266 G=0.8633 A=0.1367
1000Genomes_30x South Asian Sub 1202 G=0.7512 A=0.2488
1000Genomes_30x East Asian Sub 1170 G=0.5624 A=0.4376
1000Genomes_30x American Sub 980 G=0.670 A=0.330
1000Genomes Global Study-wide 5008 G=0.7678 A=0.2322
1000Genomes African Sub 1322 G=0.9115 A=0.0885
1000Genomes East Asian Sub 1008 G=0.5675 A=0.4325
1000Genomes Europe Sub 1006 G=0.8598 A=0.1402
1000Genomes South Asian Sub 978 G=0.753 A=0.247
1000Genomes American Sub 694 G=0.673 A=0.327
Genetic variation in the Estonian population Estonian Study-wide 4480 G=0.8299 A=0.1701
The Avon Longitudinal Study of Parents and Children PARENT AND CHILD COHORT Study-wide 3854 G=0.8627 A=0.1373
UK 10K study - Twins TWIN COHORT Study-wide 3708 G=0.8762 A=0.1238
KOREAN population from KRGDB KOREAN Study-wide 2930 G=0.5758 A=0.4242
HGDP-CEPH-db Supplement 1 Global Study-wide 2084 G=0.7121 A=0.2879
HGDP-CEPH-db Supplement 1 Est_Asia Sub 470 G=0.536 A=0.464
HGDP-CEPH-db Supplement 1 Central_South_Asia Sub 414 G=0.715 A=0.285
HGDP-CEPH-db Supplement 1 Middle_Est Sub 350 G=0.923 A=0.077
HGDP-CEPH-db Supplement 1 Europe Sub 320 G=0.884 A=0.116
HGDP-CEPH-db Supplement 1 Africa Sub 242 G=0.843 A=0.157
HGDP-CEPH-db Supplement 1 America Sub 216 G=0.310 A=0.690
HGDP-CEPH-db Supplement 1 Oceania Sub 72 G=0.82 A=0.18
HapMap Global Study-wide 1892 G=0.7838 A=0.2162
HapMap American Sub 770 G=0.719 A=0.281
HapMap African Sub 692 G=0.884 A=0.116
HapMap Asian Sub 254 G=0.618 A=0.382
HapMap Europe Sub 176 G=0.909 A=0.091
Korean Genome Project KOREAN Study-wide 1832 G=0.5508 A=0.4492
Genome-wide autozygosity in Daghestan Global Study-wide 1132 G=0.8048 A=0.1952
Genome-wide autozygosity in Daghestan Daghestan Sub 624 G=0.804 A=0.196
Genome-wide autozygosity in Daghestan Near_East Sub 144 G=0.792 A=0.208
Genome-wide autozygosity in Daghestan Central Asia Sub 122 G=0.705 A=0.295
Genome-wide autozygosity in Daghestan Europe Sub 108 G=0.898 A=0.102
Genome-wide autozygosity in Daghestan South Asian Sub 98 G=0.83 A=0.17
Genome-wide autozygosity in Daghestan Caucasus Sub 36 G=0.86 A=0.14
Genome of the Netherlands Release 5 Genome of the Netherlands Study-wide 998 G=0.864 A=0.136
CNV burdens in cranial meningiomas Global Study-wide 786 G=0.552 A=0.448
CNV burdens in cranial meningiomas CRM Sub 786 G=0.552 A=0.448
Chileans Chilean Study-wide 626 G=0.613 A=0.387
Northern Sweden ACPOP Study-wide 600 G=0.823 A=0.177
SGDP_PRJ Global Study-wide 270 G=0.367 A=0.633
Qatari Global Study-wide 216 G=0.912 A=0.088
A Vietnamese Genetic Variation Database Global Study-wide 214 G=0.645 A=0.355
Ancient Sardinia genome-wide 1240k capture data generation and analysis Global Study-wide 70 G=0.91 A=0.09
The Danish reference pan genome Danish Study-wide 40 G=0.85 A=0.15
Siberian Global Study-wide 28 G=0.46 A=0.54
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 8 NC_000008.11:g.55445714G>A
GRCh37.p13 chr 8 NC_000008.10:g.56358274G>A
Gene: XKR4, XK related 4 (plus strand)
Molecule type Change Amino acid[Codon] SO Term
XKR4 transcript NM_052898.2:c.1007-77567G…

NM_052898.2:c.1007-77567G>A

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 G= A
GRCh38.p14 chr 8 NC_000008.11:g.55445714= NC_000008.11:g.55445714G>A
GRCh37.p13 chr 8 NC_000008.10:g.56358274= NC_000008.10:g.56358274G>A
XKR4 transcript NM_052898.1:c.1007-77566= NM_052898.1:c.1007-77566G>A
XKR4 transcript NM_052898.2:c.1007-77567= NM_052898.2:c.1007-77567G>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#.

113 SubSNP, 25 Frequency submissions
No Submitter Submission ID Date (Build)
1 SC_JCM ss3692785 Sep 28, 2001 (100)
2 PERLEGEN ss46546828 Mar 14, 2006 (126)
3 ILLUMINA ss66711732 Dec 01, 2006 (127)
4 ILLUMINA ss67264252 Dec 01, 2006 (127)
5 ILLUMINA ss67663883 Dec 01, 2006 (127)
6 ILLUMINA ss70742643 May 26, 2008 (130)
7 ILLUMINA ss71313839 May 17, 2007 (127)
8 ILLUMINA ss75632340 Dec 07, 2007 (129)
9 AFFY ss76458111 Dec 07, 2007 (129)
10 ILLUMINA ss79141347 Dec 15, 2007 (130)
11 KRIBB_YJKIM ss84063325 Dec 15, 2007 (130)
12 BGI ss104531711 Dec 01, 2009 (131)
13 1000GENOMES ss108036055 Jan 22, 2009 (130)
14 1000GENOMES ss115417432 Jan 25, 2009 (130)
15 ILLUMINA-UK ss115951924 Feb 14, 2009 (130)
16 ILLUMINA ss122072310 Dec 01, 2009 (131)
17 ILLUMINA ss154224399 Dec 01, 2009 (131)
18 ILLUMINA ss159400912 Dec 01, 2009 (131)
19 COMPLETE_GENOMICS ss162417806 Jul 04, 2010 (132)
20 COMPLETE_GENOMICS ss164697100 Jul 04, 2010 (132)
21 COMPLETE_GENOMICS ss166652390 Jul 04, 2010 (132)
22 ILLUMINA ss171323181 Jul 04, 2010 (132)
23 ILLUMINA ss173410838 Jul 04, 2010 (132)
24 BUSHMAN ss199179332 Jul 04, 2010 (132)
25 1000GENOMES ss223712121 Jul 14, 2010 (132)
26 1000GENOMES ss234442566 Jul 15, 2010 (132)
27 1000GENOMES ss241297943 Jul 15, 2010 (132)
28 GMI ss279817243 May 04, 2012 (137)
29 ILLUMINA ss480620106 May 04, 2012 (137)
30 ILLUMINA ss480634720 May 04, 2012 (137)
31 ILLUMINA ss485105153 May 04, 2012 (137)
32 ILLUMINA ss537110070 Sep 08, 2015 (146)
33 TISHKOFF ss560756966 Apr 25, 2013 (138)
34 SSMP ss655194062 Apr 25, 2013 (138)
35 ILLUMINA ss778874452 Sep 08, 2015 (146)
36 ILLUMINA ss782998862 Sep 08, 2015 (146)
37 ILLUMINA ss783959411 Sep 08, 2015 (146)
38 ILLUMINA ss825471865 Apr 01, 2015 (144)
39 ILLUMINA ss832255891 Sep 08, 2015 (146)
40 ILLUMINA ss832912627 Jul 13, 2019 (153)
41 ILLUMINA ss834335395 Sep 08, 2015 (146)
42 EVA-GONL ss985531296 Aug 21, 2014 (142)
43 JMKIDD_LAB ss1075530928 Aug 21, 2014 (142)
44 1000GENOMES ss1329922968 Aug 21, 2014 (142)
45 HAMMER_LAB ss1397525893 Sep 08, 2015 (146)
46 EVA_GENOME_DK ss1582689377 Apr 01, 2015 (144)
47 EVA_DECODE ss1595126999 Apr 01, 2015 (144)
48 EVA_UK10K_ALSPAC ss1620672240 Apr 01, 2015 (144)
49 EVA_UK10K_TWINSUK ss1663666273 Apr 01, 2015 (144)
50 EVA_SVP ss1713037146 Apr 01, 2015 (144)
51 ILLUMINA ss1752735770 Sep 08, 2015 (146)
52 HAMMER_LAB ss1805540554 Sep 08, 2015 (146)
53 WEILL_CORNELL_DGM ss1928818800 Feb 12, 2016 (147)
54 GENOMED ss1970982794 Jul 19, 2016 (147)
55 JJLAB ss2025109820 Sep 14, 2016 (149)
56 USC_VALOUEV ss2153336235 Dec 20, 2016 (150)
57 HUMAN_LONGEVITY ss2303240538 Dec 20, 2016 (150)
58 SYSTEMSBIOZJU ss2627035749 Nov 08, 2017 (151)
59 ILLUMINA ss2634747977 Nov 08, 2017 (151)
60 ILLUMINA ss2635183187 Nov 08, 2017 (151)
61 GRF ss2709105095 Nov 08, 2017 (151)
62 GNOMAD ss2866975112 Nov 08, 2017 (151)
63 SWEGEN ss3003209097 Nov 08, 2017 (151)
64 BIOINF_KMB_FNS_UNIBA ss3026341733 Nov 08, 2017 (151)
65 CSHL ss3348187651 Nov 08, 2017 (151)
66 ILLUMINA ss3630062519 Oct 12, 2018 (152)
67 ILLUMINA ss3632647073 Oct 12, 2018 (152)
68 ILLUMINA ss3633500776 Oct 12, 2018 (152)
69 ILLUMINA ss3634227577 Oct 12, 2018 (152)
70 ILLUMINA ss3635171884 Oct 12, 2018 (152)
71 ILLUMINA ss3635906368 Oct 12, 2018 (152)
72 ILLUMINA ss3637659553 Oct 12, 2018 (152)
73 ILLUMINA ss3638760788 Oct 12, 2018 (152)
74 ILLUMINA ss3639382630 Oct 12, 2018 (152)
75 ILLUMINA ss3639720481 Oct 12, 2018 (152)
76 ILLUMINA ss3640879174 Oct 12, 2018 (152)
77 ILLUMINA ss3643691612 Oct 12, 2018 (152)
78 EGCUT_WGS ss3670887153 Jul 13, 2019 (153)
79 EVA_DECODE ss3722049290 Jul 13, 2019 (153)
80 ACPOP ss3735676658 Jul 13, 2019 (153)
81 ILLUMINA ss3745471762 Jul 13, 2019 (153)
82 EVA ss3768021373 Jul 13, 2019 (153)
83 ILLUMINA ss3772964196 Jul 13, 2019 (153)
84 KHV_HUMAN_GENOMES ss3811177751 Jul 13, 2019 (153)
85 EVA ss3831171262 Apr 26, 2020 (154)
86 EVA ss3839094635 Apr 26, 2020 (154)
87 EVA ss3844554065 Apr 26, 2020 (154)
88 HGDP ss3847913879 Apr 26, 2020 (154)
89 SGDP_PRJ ss3869961504 Apr 26, 2020 (154)
90 KRGDB ss3917470134 Apr 26, 2020 (154)
91 KOGIC ss3963909827 Apr 26, 2020 (154)
92 EVA ss3984605485 Apr 26, 2021 (155)
93 EVA ss3985360549 Apr 26, 2021 (155)
94 EVA ss4017390839 Apr 26, 2021 (155)
95 TOPMED ss4786745455 Apr 26, 2021 (155)
96 TOMMO_GENOMICS ss5188788596 Apr 26, 2021 (155)
97 1000G_HIGH_COVERAGE ss5277201866 Oct 14, 2022 (156)
98 EVA ss5315332418 Oct 14, 2022 (156)
99 EVA ss5381264115 Oct 14, 2022 (156)
100 HUGCELL_USP ss5473763104 Oct 14, 2022 (156)
101 EVA ss5509359145 Oct 14, 2022 (156)
102 1000G_HIGH_COVERAGE ss5567603530 Oct 14, 2022 (156)
103 SANFORD_IMAGENETICS ss5624693925 Oct 14, 2022 (156)
104 SANFORD_IMAGENETICS ss5645413113 Oct 14, 2022 (156)
105 TOMMO_GENOMICS ss5730876736 Oct 14, 2022 (156)
106 YY_MCH ss5809725037 Oct 14, 2022 (156)
107 EVA ss5830556621 Oct 14, 2022 (156)
108 EVA ss5847339168 Oct 14, 2022 (156)
109 EVA ss5848176914 Oct 14, 2022 (156)
110 EVA ss5856380576 Oct 14, 2022 (156)
111 EVA ss5889032577 Oct 14, 2022 (156)
112 EVA ss5974621205 Oct 14, 2022 (156)
113 EVA ss5979863609 Oct 14, 2022 (156)
114 1000Genomes NC_000008.10 - 56358274 Oct 12, 2018 (152)
115 1000Genomes_30x NC_000008.11 - 55445714 Oct 14, 2022 (156)
116 The Avon Longitudinal Study of Parents and Children NC_000008.10 - 56358274 Oct 12, 2018 (152)
117 Chileans NC_000008.10 - 56358274 Apr 26, 2020 (154)
118 Genome-wide autozygosity in Daghestan NC_000008.9 - 56520828 Apr 26, 2020 (154)
119 Genetic variation in the Estonian population NC_000008.10 - 56358274 Oct 12, 2018 (152)
120 The Danish reference pan genome NC_000008.10 - 56358274 Apr 26, 2020 (154)
121 gnomAD - Genomes NC_000008.11 - 55445714 Apr 26, 2021 (155)
122 Genome of the Netherlands Release 5 NC_000008.10 - 56358274 Apr 26, 2020 (154)
123 HGDP-CEPH-db Supplement 1 NC_000008.9 - 56520828 Apr 26, 2020 (154)
124 HapMap NC_000008.11 - 55445714 Apr 26, 2020 (154)
125 KOREAN population from KRGDB NC_000008.10 - 56358274 Apr 26, 2020 (154)
126 Korean Genome Project NC_000008.11 - 55445714 Apr 26, 2020 (154)
127 Northern Sweden NC_000008.10 - 56358274 Jul 13, 2019 (153)
128 Ancient Sardinia genome-wide 1240k capture data generation and analysis NC_000008.10 - 56358274 Apr 26, 2021 (155)
129 CNV burdens in cranial meningiomas NC_000008.10 - 56358274 Apr 26, 2021 (155)
130 Qatari NC_000008.10 - 56358274 Apr 26, 2020 (154)
131 SGDP_PRJ NC_000008.10 - 56358274 Apr 26, 2020 (154)
132 Siberian NC_000008.10 - 56358274 Apr 26, 2020 (154)
133 8.3KJPN NC_000008.10 - 56358274 Apr 26, 2021 (155)
134 14KJPN NC_000008.11 - 55445714 Oct 14, 2022 (156)
135 TopMed NC_000008.11 - 55445714 Apr 26, 2021 (155)
136 UK 10K study - Twins NC_000008.10 - 56358274 Oct 12, 2018 (152)
137 A Vietnamese Genetic Variation Database NC_000008.10 - 56358274 Jul 13, 2019 (153)
138 ALFA NC_000008.11 - 55445714 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)
rs60515007 May 26, 2008 (130)
Added to this RefSNP Cluster:
Submission IDs Observation SPDI Canonical SPDI Source RSIDs
499728, 591771, ss108036055, ss115417432, ss115951924, ss162417806, ss164697100, ss166652390, ss199179332, ss279817243, ss480620106, ss825471865, ss1397525893, ss1595126999, ss1713037146, ss2635183187, ss3639382630, ss3639720481, ss3643691612, ss3847913879 NC_000008.9:56520827:G:A NC_000008.11:55445713:G:A (self)
42049575, 23384221, 435203, 16625401, 8854315, 10439185, 24647528, 8961523, 586476, 154923, 10860730, 21978484, 5852589, 46757903, 23384221, 5203076, ss223712121, ss234442566, ss241297943, ss480634720, ss485105153, ss537110070, ss560756966, ss655194062, ss778874452, ss782998862, ss783959411, ss832255891, ss832912627, ss834335395, ss985531296, ss1075530928, ss1329922968, ss1582689377, ss1620672240, ss1663666273, ss1752735770, ss1805540554, ss1928818800, ss1970982794, ss2025109820, ss2153336235, ss2627035749, ss2634747977, ss2709105095, ss2866975112, ss3003209097, ss3348187651, ss3630062519, ss3632647073, ss3633500776, ss3634227577, ss3635171884, ss3635906368, ss3637659553, ss3638760788, ss3640879174, ss3670887153, ss3735676658, ss3745471762, ss3768021373, ss3772964196, ss3831171262, ss3839094635, ss3869961504, ss3917470134, ss3984605485, ss3985360549, ss4017390839, ss5188788596, ss5315332418, ss5381264115, ss5509359145, ss5624693925, ss5645413113, ss5830556621, ss5847339168, ss5848176914, ss5974621205, ss5979863609 NC_000008.10:56358273:G:A NC_000008.11:55445713:G:A (self)
55129465, 296529621, 3625861, 20287828, 64713840, 624123015, 15505270562, ss2303240538, ss3026341733, ss3722049290, ss3811177751, ss3844554065, ss3963909827, ss4786745455, ss5277201866, ss5473763104, ss5567603530, ss5730876736, ss5809725037, ss5856380576, ss5889032577 NC_000008.11:55445713:G:A NC_000008.11:55445713:G:A (self)
ss3692785, ss46546828, ss66711732, ss67264252, ss67663883, ss70742643, ss71313839, ss75632340, ss76458111, ss79141347, ss84063325, ss104531711, ss122072310, ss154224399, ss159400912, ss171323181, ss173410838 NT_008183.19:8222674:G:A NC_000008.11:55445713:G:A (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 rs2622590
PMID Title Author Year Journal
24852370 Genome-wide association study identifies a novel susceptibility gene for serum TSH levels in Chinese populations. Zhan M et al. 2014 Human molecular 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
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