Name: rs17101017
Published: September 21, 2022
License: Open Access

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.

rs17101017

Current Build 156

Released September 21, 2022

Organism: Homo sapiens
Position: chr10:82886356 (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
Variation Type: SNV Single Nucleotide Variation
Frequency: A=0.083041 (21980/264690, TOPMED)
A=0.085623 (11999/140138, GnomAD)
A=0.07787 (3986/51190, ALFA) (+ 21 more)
A=0.00343 (97/28258, 14KJPN)
A=0.00340 (57/16760, 8.3KJPN)
A=0.0686 (439/6404, 1000G_30x)
A=0.0671 (336/5008, 1000G)
A=0.1150 (515/4480, Estonian)
A=0.0680 (262/3854, ALSPAC)
A=0.0658 (244/3708, TWINSUK)
A=0.0068 (20/2922, KOREAN)
A=0.0049 (9/1832, Korea1K)
A=0.0893 (154/1724, HapMap)
A=0.0625 (71/1136, Daghestan)
A=0.070 (70/998, GoNL)
A=0.008 (6/792, PRJEB37584)
A=0.032 (20/626, Chileans)
A=0.115 (69/600, NorthernSweden)
A=0.139 (30/216, Qatari)
A=0.028 (6/216, Vietnamese)
C=0.48 (31/64, SGDP_PRJ)
A=0.03 (1/40, GENOME_DK)
C=0.5 (3/6, Siberian)
A=0.5 (3/6, Siberian)

Clinical Significance: Not Reported in ClinVar
Gene : Consequence: NRG3 : 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	51190	C=0.92213	A=0.07787
European	Sub	35538	C=0.92208	A=0.07792
African	Sub	5620	C=0.8712	A=0.1288
African Others	Sub	192	C=0.828	A=0.172
African American	Sub	5428	C=0.8727	A=0.1273
Asian	Sub	488	C=0.990	A=0.010
East Asian	Sub	390	C=0.987	A=0.013
Other Asian	Sub	98	C=1.00	A=0.00
Latin American 1	Sub	640	C=0.936	A=0.064
Latin American 2	Sub	5030	C=0.9620	A=0.0380
South Asian	Sub	176	C=0.983	A=0.017
Other	Sub	3698	C=0.9316	A=0.0684

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").

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Study	Population	Group	Sample Size	Ref Allele	Alt Allele
TopMed	Global	Study-wide	264690	C=0.916959	A=0.083041
gnomAD - Genomes	Global	Study-wide	140138	C=0.914377	A=0.085623
gnomAD - Genomes	European	Sub	75918	C=0.92554	A=0.07446
gnomAD - Genomes	African	Sub	41970	C=0.87317	A=0.12683
gnomAD - Genomes	American	Sub	13642	C=0.95470	A=0.04530
gnomAD - Genomes	Ashkenazi Jewish	Sub	3324	C=0.9362	A=0.0638
gnomAD - Genomes	East Asian	Sub	3134	C=0.9888	A=0.0112
gnomAD - Genomes	Other	Sub	2150	C=0.9265	A=0.0735
Allele Frequency Aggregator	Total	Global	51190	C=0.92213	A=0.07787
Allele Frequency Aggregator	European	Sub	35538	C=0.92208	A=0.07792
Allele Frequency Aggregator	African	Sub	5620	C=0.8712	A=0.1288
Allele Frequency Aggregator	Latin American 2	Sub	5030	C=0.9620	A=0.0380
Allele Frequency Aggregator	Other	Sub	3698	C=0.9316	A=0.0684
Allele Frequency Aggregator	Latin American 1	Sub	640	C=0.936	A=0.064
Allele Frequency Aggregator	Asian	Sub	488	C=0.990	A=0.010
Allele Frequency Aggregator	South Asian	Sub	176	C=0.983	A=0.017
14KJPN	JAPANESE	Study-wide	28258	C=0.99657	A=0.00343
8.3KJPN	JAPANESE	Study-wide	16760	C=0.99660	A=0.00340
1000Genomes_30x	Global	Study-wide	6404	C=0.9314	A=0.0686
1000Genomes_30x	African	Sub	1786	C=0.8712	A=0.1288
1000Genomes_30x	Europe	Sub	1266	C=0.9305	A=0.0695
1000Genomes_30x	South Asian	Sub	1202	C=0.9517	A=0.0483
1000Genomes_30x	East Asian	Sub	1170	C=0.9915	A=0.0085
1000Genomes_30x	American	Sub	980	C=0.946	A=0.054
1000Genomes	Global	Study-wide	5008	C=0.9329	A=0.0671
1000Genomes	African	Sub	1322	C=0.8669	A=0.1331
1000Genomes	East Asian	Sub	1008	C=0.9911	A=0.0089
1000Genomes	Europe	Sub	1006	C=0.9294	A=0.0706
1000Genomes	South Asian	Sub	978	C=0.953	A=0.047
1000Genomes	American	Sub	694	C=0.951	A=0.049
Genetic variation in the Estonian population	Estonian	Study-wide	4480	C=0.8850	A=0.1150
The Avon Longitudinal Study of Parents and Children	PARENT AND CHILD COHORT	Study-wide	3854	C=0.9320	A=0.0680
UK 10K study - Twins	TWIN COHORT	Study-wide	3708	C=0.9342	A=0.0658
KOREAN population from KRGDB	KOREAN	Study-wide	2922	C=0.9932	A=0.0068
Korean Genome Project	KOREAN	Study-wide	1832	C=0.9951	A=0.0049
HapMap	Global	Study-wide	1724	C=0.9107	A=0.0893
HapMap	American	Sub	770	C=0.936	A=0.064
HapMap	African	Sub	692	C=0.864	A=0.136
HapMap	Europe	Sub	172	C=0.936	A=0.064
HapMap	Asian	Sub	90	C=1.00	A=0.00
Genome-wide autozygosity in Daghestan	Global	Study-wide	1136	C=0.9375	A=0.0625
Genome-wide autozygosity in Daghestan	Daghestan	Sub	628	C=0.943	A=0.057
Genome-wide autozygosity in Daghestan	Near_East	Sub	144	C=0.896	A=0.104
Genome-wide autozygosity in Daghestan	Central Asia	Sub	122	C=0.967	A=0.033
Genome-wide autozygosity in Daghestan	Europe	Sub	108	C=0.944	A=0.056
Genome-wide autozygosity in Daghestan	South Asian	Sub	98	C=0.95	A=0.05
Genome-wide autozygosity in Daghestan	Caucasus	Sub	36	C=0.86	A=0.14
Genome of the Netherlands Release 5	Genome of the Netherlands	Study-wide	998	C=0.930	A=0.070
CNV burdens in cranial meningiomas	Global	Study-wide	792	C=0.992	A=0.008
CNV burdens in cranial meningiomas	CRM	Sub	792	C=0.992	A=0.008
Chileans	Chilean	Study-wide	626	C=0.968	A=0.032
Northern Sweden	ACPOP	Study-wide	600	C=0.885	A=0.115
Qatari	Global	Study-wide	216	C=0.861	A=0.139
A Vietnamese Genetic Variation Database	Global	Study-wide	216	C=0.972	A=0.028
SGDP_PRJ	Global	Study-wide	64	C=0.48	A=0.52
The Danish reference pan genome	Danish	Study-wide	40	C=0.97	A=0.03
Siberian	Global	Study-wide	6	C=0.5	A=0.5

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 10	NC_000010.11:g.82886356C>A
GRCh37.p13 chr 10	NC_000010.10:g.84646112C>A
NRG3 RefSeqGene	NG_013373.1:g.1016043C>A

Gene: NRG3, neuregulin 3 (plus strand)

Molecule type	Change	Amino acid[Codon]	SO Term
NRG3 transcript variant 1	NM_001010848.4:c.1054+209… NM_001010848.4:c.1054+20919C>A	N/A	Intron Variant
NRG3 transcript variant 2	NM_001165972.1:c.1051+209… NM_001165972.1:c.1051+20919C>A	N/A	Intron Variant
NRG3 transcript variant 3	NM_001165973.2:c.391+2091… NM_001165973.2:c.391+20919C>A	N/A	Intron Variant
NRG3 transcript variant 4	NM_001370081.1:c.1051+209… NM_001370081.1:c.1051+20919C>A	N/A	Intron Variant
NRG3 transcript variant 5	NM_001370082.1:c.487+2091… NM_001370082.1:c.487+20919C>A	N/A	Intron Variant
NRG3 transcript variant 7	NM_001370084.1:c.1054+209… NM_001370084.1:c.1054+20919C>A	N/A	Intron Variant
NRG3 transcript variant 6	NM_001370083.1:c.	N/A	Genic Downstream Transcript Variant
NRG3 transcript variant 10	NR_163251.1:n.	N/A	Intron Variant
NRG3 transcript variant 8	NR_163252.1:n.	N/A	Intron Variant
NRG3 transcript variant 9	NR_163253.1:n.	N/A	Intron Variant
NRG3 transcript variant X9	XM_011539172.4:c.1054+209… XM_011539172.4:c.1054+20919C>A	N/A	Intron Variant
NRG3 transcript variant X10	XM_011539173.4:c.1051+209… XM_011539173.4:c.1051+20919C>A	N/A	Intron Variant
NRG3 transcript variant X12	XM_011539175.4:c.1054+209… XM_011539175.4:c.1054+20919C>A	N/A	Intron Variant
NRG3 transcript variant X1	XM_017015573.3:c.1132+209… XM_017015573.3:c.1132+20919C>A	N/A	Intron Variant
NRG3 transcript variant X2	XM_017015574.3:c.1132+209… XM_017015574.3:c.1132+20919C>A	N/A	Intron Variant
NRG3 transcript variant X3	XM_017015575.3:c.1129+209… XM_017015575.3:c.1129+20919C>A	N/A	Intron Variant
NRG3 transcript variant X4	XM_017015576.3:c.1129+209… XM_017015576.3:c.1129+20919C>A	N/A	Intron Variant
NRG3 transcript variant X5	XM_017015577.3:c.1132+209… XM_017015577.3:c.1132+20919C>A	N/A	Intron Variant
NRG3 transcript variant X6	XM_017015578.3:c.1132+209… XM_017015578.3:c.1132+20919C>A	N/A	Intron Variant
NRG3 transcript variant X7	XM_017015579.3:c.1129+209… XM_017015579.3:c.1129+20919C>A	N/A	Intron Variant
NRG3 transcript variant X8	XM_017015580.3:c.1129+209… XM_017015580.3:c.1129+20919C>A	N/A	Intron Variant
NRG3 transcript variant X14	XM_017015582.2:c.274+2091… XM_017015582.2:c.274+20919C>A	N/A	Intron Variant
NRG3 transcript variant X18	XM_024447781.2:c.4+20919C… XM_024447781.2:c.4+20919C>A	N/A	Intron Variant
NRG3 transcript variant X11	XM_047424512.1:c.1028-651… XM_047424512.1:c.1028-65113C>A	N/A	Intron Variant
NRG3 transcript variant X16	XM_011539178.3:c.	N/A	Genic Upstream Transcript Variant
NRG3 transcript variant X17	XM_047424513.1:c.	N/A	Genic Upstream Transcript Variant
NRG3 transcript variant X15	XM_017015584.3:c.	N/A	Genic Downstream Transcript Variant
NRG3 transcript variant X13	XR_001747009.3:n.	N/A	Intron 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.

Not Reported in ClinVar

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
GRCh38.p14 chr 10	NC_000010.11:g.82886356=	NC_000010.11:g.82886356C>A
GRCh37.p13 chr 10	NC_000010.10:g.84646112=	NC_000010.10:g.84646112C>A
NRG3 RefSeqGene	NG_013373.1:g.1016043=	NG_013373.1:g.1016043C>A
NRG3 transcript variant 1	NM_001010848.3:c.1054+20919=	NM_001010848.3:c.1054+20919C>A
NRG3 transcript variant 1	NM_001010848.4:c.1054+20919=	NM_001010848.4:c.1054+20919C>A
NRG3 transcript variant 2	NM_001165972.1:c.1051+20919=	NM_001165972.1:c.1051+20919C>A
NRG3 transcript variant 3	NM_001165973.1:c.391+20919=	NM_001165973.1:c.391+20919C>A
NRG3 transcript variant 3	NM_001165973.2:c.391+20919=	NM_001165973.2:c.391+20919C>A
NRG3 transcript variant 4	NM_001370081.1:c.1051+20919=	NM_001370081.1:c.1051+20919C>A
NRG3 transcript variant 5	NM_001370082.1:c.487+20919=	NM_001370082.1:c.487+20919C>A
NRG3 transcript variant 7	NM_001370084.1:c.1054+20919=	NM_001370084.1:c.1054+20919C>A
NRG3 transcript variant X1	XM_005269444.1:c.1054+20919=	XM_005269444.1:c.1054+20919C>A
NRG3 transcript variant X2	XM_005269445.1:c.544+20919=	XM_005269445.1:c.544+20919C>A
NRG3 transcript variant X3	XM_005269446.1:c.466+20919=	XM_005269446.1:c.466+20919C>A
NRG3 transcript variant X4	XM_005269447.1:c.466+20919=	XM_005269447.1:c.466+20919C>A
NRG3 transcript variant X5	XM_005269448.1:c.391+20919=	XM_005269448.1:c.391+20919C>A
NRG3 transcript variant X6	XM_005269449.1:c.262+20919=	XM_005269449.1:c.262+20919C>A
NRG3 transcript variant X7	XM_005269450.1:c.262+20919=	XM_005269450.1:c.262+20919C>A
NRG3 transcript variant X8	XM_005269451.1:c.4+20919=	XM_005269451.1:c.4+20919C>A
NRG3 transcript variant X9	XM_011539172.4:c.1054+20919=	XM_011539172.4:c.1054+20919C>A
NRG3 transcript variant X10	XM_011539173.4:c.1051+20919=	XM_011539173.4:c.1051+20919C>A
NRG3 transcript variant X12	XM_011539175.4:c.1054+20919=	XM_011539175.4:c.1054+20919C>A
NRG3 transcript variant X1	XM_017015573.3:c.1132+20919=	XM_017015573.3:c.1132+20919C>A
NRG3 transcript variant X2	XM_017015574.3:c.1132+20919=	XM_017015574.3:c.1132+20919C>A
NRG3 transcript variant X3	XM_017015575.3:c.1129+20919=	XM_017015575.3:c.1129+20919C>A
NRG3 transcript variant X4	XM_017015576.3:c.1129+20919=	XM_017015576.3:c.1129+20919C>A
NRG3 transcript variant X5	XM_017015577.3:c.1132+20919=	XM_017015577.3:c.1132+20919C>A
NRG3 transcript variant X6	XM_017015578.3:c.1132+20919=	XM_017015578.3:c.1132+20919C>A
NRG3 transcript variant X7	XM_017015579.3:c.1129+20919=	XM_017015579.3:c.1129+20919C>A
NRG3 transcript variant X8	XM_017015580.3:c.1129+20919=	XM_017015580.3:c.1129+20919C>A
NRG3 transcript variant X14	XM_017015582.2:c.274+20919=	XM_017015582.2:c.274+20919C>A
NRG3 transcript variant X18	XM_024447781.2:c.4+20919=	XM_024447781.2:c.4+20919C>A
NRG3 transcript variant X11	XM_047424512.1:c.1028-65113=	XM_047424512.1:c.1028-65113C>A

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#.

57 SubSNP, 23 Frequency submissions

No	Submitter	Submission ID	Date (Build)
1	PERLEGEN	ss23634421	Sep 20, 2004 (123)
2	AFFY	ss66396377	Dec 02, 2006 (127)
3	PERLEGEN	ss69085714	May 18, 2007 (127)
4	AFFY	ss76141720	Dec 07, 2007 (129)
5	KRIBB_YJKIM	ss83191136	Dec 14, 2007 (130)
6	BCMHGSC_JDW	ss88287921	Mar 23, 2008 (129)
7	ENSEMBL	ss131977969	Dec 01, 2009 (131)
8	ILLUMINA	ss160423517	Dec 01, 2009 (131)
9	AFFY	ss172623464	Jul 04, 2010 (132)
10	1000GENOMES	ss224841031	Jul 14, 2010 (132)
11	1000GENOMES	ss235260031	Jul 15, 2010 (132)
12	ILLUMINA	ss244282461	Jul 04, 2010 (132)
13	ILLUMINA	ss480910415	Sep 08, 2015 (146)
14	TISHKOFF	ss562093411	Apr 25, 2013 (138)
15	SSMP	ss657064978	Apr 25, 2013 (138)
16	EVA-GONL	ss987715467	Aug 21, 2014 (142)
17	JMKIDD_LAB	ss1077152524	Aug 21, 2014 (142)
18	1000GENOMES	ss1338296608	Aug 21, 2014 (142)
19	HAMMER_LAB	ss1397587069	Sep 08, 2015 (146)
20	DDI	ss1426386917	Apr 01, 2015 (144)
21	EVA_GENOME_DK	ss1575245855	Apr 01, 2015 (144)
22	EVA_DECODE	ss1597388462	Apr 01, 2015 (144)
23	EVA_UK10K_ALSPAC	ss1625021215	Apr 01, 2015 (144)
24	EVA_UK10K_TWINSUK	ss1668015248	Apr 01, 2015 (144)
25	EVA_SVP	ss1713196224	Apr 01, 2015 (144)
26	WEILL_CORNELL_DGM	ss1931083890	Feb 12, 2016 (147)
27	JJLAB	ss2026268882	Sep 14, 2016 (149)
28	USC_VALOUEV	ss2154543630	Dec 20, 2016 (150)
29	HUMAN_LONGEVITY	ss2176491030	Dec 20, 2016 (150)
30	GNOMAD	ss2891196228	Nov 08, 2017 (151)
31	SWEGEN	ss3006829531	Nov 08, 2017 (151)
32	BIOINF_KMB_FNS_UNIBA	ss3026924089	Nov 08, 2017 (151)
33	CSHL	ss3349222829	Nov 08, 2017 (151)
34	ILLUMINA	ss3636097297	Oct 12, 2018 (152)
35	EGCUT_WGS	ss3674242174	Jul 13, 2019 (153)
36	EVA_DECODE	ss3690300725	Jul 13, 2019 (153)
37	ACPOP	ss3737511790	Jul 13, 2019 (153)
38	EVA	ss3748366722	Jul 13, 2019 (153)
39	KHV_HUMAN_GENOMES	ss3813734458	Jul 13, 2019 (153)
40	EVA	ss3832234171	Apr 26, 2020 (154)
41	SGDP_PRJ	ss3874655771	Apr 26, 2020 (154)
42	KRGDB	ss3922763796	Apr 26, 2020 (154)
43	KOGIC	ss3968298681	Apr 26, 2020 (154)
44	EVA	ss3984637675	Apr 26, 2021 (155)
45	TOPMED	ss4859778591	Apr 26, 2021 (155)
46	TOMMO_GENOMICS	ss5198597898	Apr 26, 2021 (155)
47	1000G_HIGH_COVERAGE	ss5284802603	Oct 16, 2022 (156)
48	EVA	ss5394811822	Oct 16, 2022 (156)
49	HUGCELL_USP	ss5480296845	Oct 16, 2022 (156)
50	EVA	ss5510097101	Oct 16, 2022 (156)
51	1000G_HIGH_COVERAGE	ss5579132978	Oct 16, 2022 (156)
52	SANFORD_IMAGENETICS	ss5649721467	Oct 16, 2022 (156)
53	TOMMO_GENOMICS	ss5744708542	Oct 16, 2022 (156)
54	YY_MCH	ss5811719733	Oct 16, 2022 (156)
55	EVA	ss5824694378	Oct 16, 2022 (156)
56	EVA	ss5879761265	Oct 16, 2022 (156)
57	EVA	ss5941002163	Oct 16, 2022 (156)
58	1000Genomes	NC_000010.10 - 84646112	Oct 12, 2018 (152)
59	1000Genomes_30x	NC_000010.11 - 82886356	Oct 16, 2022 (156)
60	The Avon Longitudinal Study of Parents and Children	NC_000010.10 - 84646112	Oct 12, 2018 (152)
61	Chileans	NC_000010.10 - 84646112	Apr 26, 2020 (154)
62	Genome-wide autozygosity in Daghestan	NC_000010.9 - 84636092	Apr 26, 2020 (154)
63	Genetic variation in the Estonian population	NC_000010.10 - 84646112	Oct 12, 2018 (152)
64	The Danish reference pan genome	NC_000010.10 - 84646112	Apr 26, 2020 (154)
65	gnomAD - Genomes	NC_000010.11 - 82886356	Apr 26, 2021 (155)
66	Genome of the Netherlands Release 5	NC_000010.10 - 84646112	Apr 26, 2020 (154)
67	HapMap	NC_000010.11 - 82886356	Apr 26, 2020 (154)
68	KOREAN population from KRGDB	NC_000010.10 - 84646112	Apr 26, 2020 (154)
69	Korean Genome Project	NC_000010.11 - 82886356	Apr 26, 2020 (154)
70	Northern Sweden	NC_000010.10 - 84646112	Jul 13, 2019 (153)
71	CNV burdens in cranial meningiomas	NC_000010.10 - 84646112	Apr 26, 2021 (155)
72	Qatari	NC_000010.10 - 84646112	Apr 26, 2020 (154)
73	SGDP_PRJ	NC_000010.10 - 84646112	Apr 26, 2020 (154)
74	Siberian	NC_000010.10 - 84646112	Apr 26, 2020 (154)
75	8.3KJPN	NC_000010.10 - 84646112	Apr 26, 2021 (155)
76	14KJPN	NC_000010.11 - 82886356	Oct 16, 2022 (156)
77	TopMed	NC_000010.11 - 82886356	Apr 26, 2021 (155)
78	UK 10K study - Twins	NC_000010.10 - 84646112	Oct 12, 2018 (152)
79	A Vietnamese Genetic Variation Database	NC_000010.10 - 84646112	Jul 13, 2019 (153)
80	ALFA	NC_000010.11 - 82886356	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)
rs57572520	Feb 25, 2009 (130)

Added to this RefSNP Cluster:

Submission IDs	Observation SPDI	Canonical SPDI	Source RSIDs
58521, ss66396377, ss76141720, ss88287921, ss172623464, ss1397587069, ss1597388462, ss1713196224	NC_000010.9:84636091:C:A	NC_000010.11:82886355:C:A	(self)
50715902, 28153152, 56122, 19980422, 2248287, 12552635, 29941190, 10796655, 187139, 13125820, 26672751, 7059984, 56567205, 28153152, 6250860, ss224841031, ss235260031, ss480910415, ss562093411, ss657064978, ss987715467, ss1077152524, ss1338296608, ss1426386917, ss1575245855, ss1625021215, ss1668015248, ss1931083890, ss2026268882, ss2154543630, ss2891196228, ss3006829531, ss3349222829, ss3636097297, ss3674242174, ss3737511790, ss3748366722, ss3832234171, ss3874655771, ss3922763796, ss3984637675, ss5198597898, ss5394811822, ss5510097101, ss5649721467, ss5824694378, ss5941002163	NC_000010.10:84646111:C:A	NC_000010.11:82886355:C:A	(self)
66658913, 358366090, 449913, 24676682, 78545646, 75324246, 560963776, ss2176491030, ss3026924089, ss3690300725, ss3813734458, ss3968298681, ss4859778591, ss5284802603, ss5480296845, ss5579132978, ss5744708542, ss5811719733, ss5879761265	NC_000010.11:82886355:C:A	NC_000010.11:82886355:C:A	(self)
ss23634421, ss69085714, ss83191136, ss131977969, ss160423517, ss244282461	NT_030059.13:35450575:C:A	NC_000010.11:82886355:C:A	(self)

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

1 citation for rs17101017

PMID	Title	Author	Year	Journal
24061483	NRG3 gene is associated with the risk and age at onset of Alzheimer disease.	Wang KS et al.	2014	Journal of neural transmission (Vienna, Austria

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.

Choose placement

dbSNP Short Genetic Variations

Welcome to the Reference SNP (rs) Report

Reference SNP (rs) Report

rs17101017