Name: rs747659
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.

rs747659

Current Build 156

Released September 21, 2022

Organism: Homo sapiens
Position: chr1:226363040 (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>G / C>T
Variation Type: SNV Single Nucleotide Variation
Frequency: T=0.235630 (62369/264690, TOPMED)
T=0.230103 (32213/139994, GnomAD)
T=0.27760 (21825/78620, PAGE_STUDY) (+ 20 more)
T=0.30663 (8664/28256, 14KJPN)
T=0.11698 (2188/18704, ALFA)
T=0.30913 (5181/16760, 8.3KJPN)
T=0.2598 (1664/6404, 1000G_30x)
T=0.2566 (1285/5008, 1000G)
T=0.2348 (1072/4566, GO-ESP)
T=0.1540 (690/4480, Estonian)
T=0.1640 (632/3854, ALSPAC)
T=0.1610 (597/3708, TWINSUK)
T=0.2925 (857/2930, KOREAN)
T=0.2948 (540/1832, Korea1K)
T=0.3017 (473/1568, HapMap)
T=0.165 (165/998, GoNL)
T=0.130 (78/600, NorthernSweden)
T=0.129 (69/534, MGP)
T=0.185 (40/216, Qatari)
T=0.400 (84/210, Vietnamese)
C=0.421 (85/202, SGDP_PRJ)
T=0.12 (5/40, GENOME_DK)
C=0.39 (11/28, Siberian)

Clinical Significance: Not Reported in ClinVar
Gene : Consequence: PARP1 : 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	18704	C=0.88302	G=0.00000, T=0.11698
European	Sub	14332	C=0.90085	G=0.00000, T=0.09915
African	Sub	2720	C=0.7735	G=0.0000, T=0.2265
African Others	Sub	66	C=0.74	G=0.00, T=0.26
African American	Sub	2654	C=0.7743	G=0.0000, T=0.2257
Asian	Sub	92	C=0.82	G=0.00, T=0.18
East Asian	Sub	84	C=0.81	G=0.00, T=0.19
Other Asian	Sub	8	C=0.9	G=0.0, T=0.1
Latin American 1	Sub	104	C=0.981	G=0.000, T=0.019
Latin American 2	Sub	444	C=0.998	G=0.000, T=0.002
South Asian	Sub	76	C=0.99	G=0.00, T=0.01
Other	Sub	936	C=0.861	G=0.000, T=0.139

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=0.764370	T=0.235630
gnomAD - Genomes	Global	Study-wide	139994	C=0.769897	T=0.230103
gnomAD - Genomes	European	Sub	75846	C=0.83254	T=0.16746
gnomAD - Genomes	African	Sub	41920	C=0.62846	T=0.37154
gnomAD - Genomes	American	Sub	13648	C=0.85932	T=0.14068
gnomAD - Genomes	Ashkenazi Jewish	Sub	3320	C=0.8636	T=0.1364
gnomAD - Genomes	East Asian	Sub	3110	C=0.6511	T=0.3489
gnomAD - Genomes	Other	Sub	2150	C=0.7772	T=0.2228
The PAGE Study	Global	Study-wide	78620	C=0.72240	T=0.27760
The PAGE Study	AfricanAmerican	Sub	32474	C=0.62425	T=0.37575
The PAGE Study	Mexican	Sub	10806	C=0.86572	T=0.13428
The PAGE Study	Asian	Sub	8308	C=0.6740	T=0.3260
The PAGE Study	PuertoRican	Sub	7914	C=0.7914	T=0.2086
The PAGE Study	NativeHawaiian	Sub	4524	C=0.7944	T=0.2056
The PAGE Study	Cuban	Sub	4228	C=0.8191	T=0.1809
The PAGE Study	Dominican	Sub	3818	C=0.7287	T=0.2713
The PAGE Study	CentralAmerican	Sub	2450	C=0.8469	T=0.1531
The PAGE Study	SouthAmerican	Sub	1982	C=0.8491	T=0.1509
The PAGE Study	NativeAmerican	Sub	1260	C=0.8127	T=0.1873
The PAGE Study	SouthAsian	Sub	856	C=0.799	T=0.201
14KJPN	JAPANESE	Study-wide	28256	C=0.69337	T=0.30663
Allele Frequency Aggregator	Total	Global	18704	C=0.88302	G=0.00000, T=0.11698
Allele Frequency Aggregator	European	Sub	14332	C=0.90085	G=0.00000, T=0.09915
Allele Frequency Aggregator	African	Sub	2720	C=0.7735	G=0.0000, T=0.2265
Allele Frequency Aggregator	Other	Sub	936	C=0.861	G=0.000, T=0.139
Allele Frequency Aggregator	Latin American 2	Sub	444	C=0.998	G=0.000, T=0.002
Allele Frequency Aggregator	Latin American 1	Sub	104	C=0.981	G=0.000, T=0.019
Allele Frequency Aggregator	Asian	Sub	92	C=0.82	G=0.00, T=0.18
Allele Frequency Aggregator	South Asian	Sub	76	C=0.99	G=0.00, T=0.01
8.3KJPN	JAPANESE	Study-wide	16760	C=0.69087	T=0.30913
1000Genomes_30x	Global	Study-wide	6404	C=0.7402	T=0.2598
1000Genomes_30x	African	Sub	1786	C=0.5969	T=0.4031
1000Genomes_30x	Europe	Sub	1266	C=0.8239	T=0.1761
1000Genomes_30x	South Asian	Sub	1202	C=0.8228	T=0.1772
1000Genomes_30x	East Asian	Sub	1170	C=0.6846	T=0.3154
1000Genomes_30x	American	Sub	980	C=0.858	T=0.142
1000Genomes	Global	Study-wide	5008	C=0.7434	T=0.2566
1000Genomes	African	Sub	1322	C=0.6059	T=0.3941
1000Genomes	East Asian	Sub	1008	C=0.6875	T=0.3125
1000Genomes	Europe	Sub	1006	C=0.8300	T=0.1700
1000Genomes	South Asian	Sub	978	C=0.819	T=0.181
1000Genomes	American	Sub	694	C=0.854	T=0.146
GO Exome Sequencing Project	Global	Study-wide	4566	C=0.7652	T=0.2348
GO Exome Sequencing Project	European American	Sub	3182	C=0.8284	T=0.1716
GO Exome Sequencing Project	African American	Sub	1384	C=0.6199	T=0.3801
Genetic variation in the Estonian population	Estonian	Study-wide	4480	C=0.8460	T=0.1540
The Avon Longitudinal Study of Parents and Children	PARENT AND CHILD COHORT	Study-wide	3854	C=0.8360	T=0.1640
UK 10K study - Twins	TWIN COHORT	Study-wide	3708	C=0.8390	T=0.1610
KOREAN population from KRGDB	KOREAN	Study-wide	2930	C=0.7075	T=0.2925
Korean Genome Project	KOREAN	Study-wide	1832	C=0.7052	T=0.2948
HapMap	Global	Study-wide	1568	C=0.6983	T=0.3017
HapMap	African	Sub	674	C=0.645	T=0.355
HapMap	American	Sub	648	C=0.739	T=0.261
HapMap	Asian	Sub	246	C=0.736	T=0.264
Genome of the Netherlands Release 5	Genome of the Netherlands	Study-wide	998	C=0.835	T=0.165
Northern Sweden	ACPOP	Study-wide	600	C=0.870	T=0.130
Medical Genome Project healthy controls from Spanish population	Spanish controls	Study-wide	534	C=0.871	T=0.129
Qatari	Global	Study-wide	216	C=0.815	T=0.185
A Vietnamese Genetic Variation Database	Global	Study-wide	210	C=0.600	T=0.400
SGDP_PRJ	Global	Study-wide	202	C=0.421	T=0.579
The Danish reference pan genome	Danish	Study-wide	40	C=0.88	T=0.12
Siberian	Global	Study-wide	28	C=0.39	T=0.61

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 1	NC_000001.11:g.226363040C>G
GRCh38.p14 chr 1	NC_000001.11:g.226363040C>T
GRCh37.p13 chr 1	NC_000001.10:g.226550741C>G
GRCh37.p13 chr 1	NC_000001.10:g.226550741C>T

Gene: PARP1, poly(ADP-ribose) polymerase 1 (minus strand)

Molecule type	Change	Amino acid[Codon]	SO Term
PARP1 transcript	NM_001618.4:c.2848+59G>C	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=	G	T
GRCh38.p14 chr 1	NC_000001.11:g.226363040=	NC_000001.11:g.226363040C>G	NC_000001.11:g.226363040C>T
GRCh37.p13 chr 1	NC_000001.10:g.226550741=	NC_000001.10:g.226550741C>G	NC_000001.10:g.226550741C>T
PARP1 transcript	NM_001618.3:c.2848+59=	NM_001618.3:c.2848+59G>C	NM_001618.3:c.2848+59G>A
PARP1 transcript	NM_001618.4:c.2848+59=	NM_001618.4:c.2848+59G>C	NM_001618.4:c.2848+59G>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#.

86 SubSNP, 23 Frequency submissions

No	Submitter	Submission ID	Date (Build)
1	TSC-CSHL	ss98261	Oct 05, 2000 (86)
2	YUSUKE	ss5003583	Aug 28, 2002 (108)
3	SNP500CANCER	ss5586206	Mar 31, 2003 (113)
4	BCM_SSAHASNP	ss9831217	Jul 11, 2003 (116)
5	SI_EXO	ss61705451	Oct 16, 2006 (127)
6	ILLUMINA	ss65761699	Oct 16, 2006 (127)
7	ILLUMINA	ss74889602	Dec 06, 2007 (129)
8	CGM_KYOTO	ss76877486	Dec 06, 2007 (129)
9	CNG	ss95212029	Mar 25, 2008 (129)
10	1000GENOMES	ss111867868	Jan 25, 2009 (130)
11	ILLUMINA-UK	ss119229449	Feb 15, 2009 (130)
12	KRIBB_YJKIM	ss119366132	Dec 01, 2009 (131)
13	COMPLETE_GENOMICS	ss165300077	Jul 04, 2010 (132)
14	COMPLETE_GENOMICS	ss165859996	Jul 04, 2010 (132)
15	ILLUMINA	ss174380709	Jul 04, 2010 (132)
16	BUSHMAN	ss199689059	Jul 04, 2010 (132)
17	1000GENOMES	ss218916006	Jul 14, 2010 (132)
18	1000GENOMES	ss230928826	Jul 14, 2010 (132)
19	1000GENOMES	ss238536591	Jul 15, 2010 (132)
20	GMI	ss276244121	May 04, 2012 (137)
21	ILLUMINA	ss537473659	Sep 08, 2015 (146)
22	SSMP	ss648750470	Apr 25, 2013 (138)
23	NHLBI-ESP	ss712372457	Apr 25, 2013 (138)
24	EVA-GONL	ss976213592	Aug 21, 2014 (142)
25	JMKIDD_LAB	ss1068653857	Aug 21, 2014 (142)
26	1000GENOMES	ss1294911293	Aug 21, 2014 (142)
27	EVA_GENOME_DK	ss1574721846	Apr 01, 2015 (144)
28	EVA_DECODE	ss1585611518	Apr 01, 2015 (144)
29	EVA_UK10K_ALSPAC	ss1602279031	Apr 01, 2015 (144)
30	EVA_UK10K_TWINSUK	ss1645273064	Apr 01, 2015 (144)
31	EVA_MGP	ss1710945792	Apr 01, 2015 (144)
32	EVA_SVP	ss1712410422	Apr 01, 2015 (144)
33	HAMMER_LAB	ss1795818414	Sep 08, 2015 (146)
34	WEILL_CORNELL_DGM	ss1919435676	Feb 12, 2016 (147)
35	ILLUMINA	ss1958362710	Feb 12, 2016 (147)
36	JJLAB	ss2020242287	Sep 14, 2016 (149)
37	USC_VALOUEV	ss2148276592	Dec 20, 2016 (150)
38	HUMAN_LONGEVITY	ss2170627481	Dec 20, 2016 (150)
39	SYSTEMSBIOZJU	ss2624632420	Nov 08, 2017 (151)
40	GRF	ss2698274766	Nov 08, 2017 (151)
41	GNOMAD	ss2766963585	Nov 08, 2017 (151)
42	SWEGEN	ss2988559332	Nov 08, 2017 (151)
43	ILLUMINA	ss3021186489	Nov 08, 2017 (151)
44	BIOINF_KMB_FNS_UNIBA	ss3023881541	Nov 08, 2017 (151)
45	CSHL	ss3343942953	Nov 08, 2017 (151)
46	ILLUMINA	ss3626323339	Oct 11, 2018 (152)
47	ILLUMINA	ss3637817908	Oct 11, 2018 (152)
48	ILLUMINA	ss3642823998	Oct 11, 2018 (152)
49	OMUKHERJEE_ADBS	ss3646254249	Oct 11, 2018 (152)
50	ILLUMINA	ss3651532016	Oct 11, 2018 (152)
51	EGCUT_WGS	ss3656518237	Jul 12, 2019 (153)
52	EVA_DECODE	ss3688758268	Jul 12, 2019 (153)
53	ILLUMINA	ss3725111371	Jul 12, 2019 (153)
54	ACPOP	ss3727919961	Jul 12, 2019 (153)
55	EVA	ss3747417204	Jul 12, 2019 (153)
56	PAGE_CC	ss3770876383	Jul 12, 2019 (153)
57	KHV_HUMAN_GENOMES	ss3800420044	Jul 12, 2019 (153)
58	EVA	ss3823721528	Apr 25, 2020 (154)
59	EVA	ss3825589437	Apr 25, 2020 (154)
60	EVA	ss3826678033	Apr 25, 2020 (154)
61	EVA	ss3836741059	Apr 25, 2020 (154)
62	EVA	ss3842153318	Apr 25, 2020 (154)
63	SGDP_PRJ	ss3851034491	Apr 25, 2020 (154)
64	KRGDB	ss3896371156	Apr 25, 2020 (154)
65	KOGIC	ss3946626423	Apr 25, 2020 (154)
66	FSA-LAB	ss3983965116	Apr 25, 2021 (155)
67	FSA-LAB	ss3983965117	Apr 25, 2021 (155)
68	EVA	ss3986161413	Apr 25, 2021 (155)
69	TOPMED	ss4485890206	Apr 25, 2021 (155)
70	TOMMO_GENOMICS	ss5148734447	Apr 25, 2021 (155)
71	1000G_HIGH_COVERAGE	ss5246025421	Oct 12, 2022 (156)
72	EVA	ss5325208183	Oct 12, 2022 (156)
73	HUGCELL_USP	ss5446437552	Oct 12, 2022 (156)
74	EVA	ss5506212393	Oct 12, 2022 (156)
75	1000G_HIGH_COVERAGE	ss5520239051	Oct 12, 2022 (156)
76	EVA	ss5624003739	Oct 12, 2022 (156)
77	SANFORD_IMAGENETICS	ss5627576955	Oct 12, 2022 (156)
78	TOMMO_GENOMICS	ss5676580877	Oct 12, 2022 (156)
79	EVA	ss5800090515	Oct 12, 2022 (156)
80	YY_MCH	ss5801697440	Oct 12, 2022 (156)
81	EVA	ss5833354835	Oct 12, 2022 (156)
82	EVA	ss5848287265	Oct 12, 2022 (156)
83	EVA	ss5849314732	Oct 12, 2022 (156)
84	EVA	ss5912235621	Oct 12, 2022 (156)
85	EVA	ss5935543444	Oct 12, 2022 (156)
86	EVA	ss5939420922	Oct 12, 2022 (156)
87	1000Genomes	NC_000001.10 - 226550741	Oct 11, 2018 (152)
88	1000Genomes_30x	NC_000001.11 - 226363040	Oct 12, 2022 (156)
89	The Avon Longitudinal Study of Parents and Children	NC_000001.10 - 226550741	Oct 11, 2018 (152)
90	Genetic variation in the Estonian population	NC_000001.10 - 226550741	Oct 11, 2018 (152)
91	The Danish reference pan genome	NC_000001.10 - 226550741	Apr 25, 2020 (154)
92	gnomAD - Genomes	NC_000001.11 - 226363040	Apr 25, 2021 (155)
93	GO Exome Sequencing Project	NC_000001.10 - 226550741	Oct 11, 2018 (152)
94	Genome of the Netherlands Release 5	NC_000001.10 - 226550741	Apr 25, 2020 (154)
95	HapMap	NC_000001.11 - 226363040	Apr 25, 2020 (154)
96	KOREAN population from KRGDB	NC_000001.10 - 226550741	Apr 25, 2020 (154)
97	Korean Genome Project	NC_000001.11 - 226363040	Apr 25, 2020 (154)
98	Medical Genome Project healthy controls from Spanish population	NC_000001.10 - 226550741	Apr 25, 2020 (154)
99	Northern Sweden	NC_000001.10 - 226550741	Jul 12, 2019 (153)
100	The PAGE Study	NC_000001.11 - 226363040	Jul 12, 2019 (153)
101	Qatari	NC_000001.10 - 226550741	Apr 25, 2020 (154)
102	SGDP_PRJ	NC_000001.10 - 226550741	Apr 25, 2020 (154)
103	Siberian	NC_000001.10 - 226550741	Apr 25, 2020 (154)
104	8.3KJPN	NC_000001.10 - 226550741	Apr 25, 2021 (155)
105	14KJPN	NC_000001.11 - 226363040	Oct 12, 2022 (156)
106	TopMed	NC_000001.11 - 226363040	Apr 25, 2021 (155)
107	UK 10K study - Twins	NC_000001.10 - 226550741	Oct 11, 2018 (152)
108	A Vietnamese Genetic Variation Database	NC_000001.10 - 226550741	Jul 12, 2019 (153)
109	ALFA	NC_000001.11 - 226363040	Apr 25, 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)
rs3817168	Oct 08, 2002 (108)

Added to this RefSNP Cluster:

Submission IDs	Observation SPDI	Canonical SPDI	Source RSIDs
2075858123	NC_000001.11:226363039:C:G	NC_000001.11:226363039:C:G	(self)
ss111867868, ss119229449, ss165300077, ss165859996, ss199689059, ss276244121, ss1585611518, ss1712410422, ss3642823998	NC_000001.9:224617363:C:T	NC_000001.11:226363039:C:T	(self)
5775363, 3191913, 2256485, 1913114, 180037, 1394910, 3548550, 62544, 1204826, 1477606, 3051471, 792946, 6703754, 3191913, 693216, ss218916006, ss230928826, ss238536591, ss537473659, ss648750470, ss712372457, ss976213592, ss1068653857, ss1294911293, ss1574721846, ss1602279031, ss1645273064, ss1710945792, ss1795818414, ss1919435676, ss1958362710, ss2020242287, ss2148276592, ss2624632420, ss2698274766, ss2766963585, ss2988559332, ss3021186489, ss3343942953, ss3626323339, ss3637817908, ss3646254249, ss3651532016, ss3656518237, ss3727919961, ss3747417204, ss3823721528, ss3825589437, ss3826678033, ss3836741059, ss3851034491, ss3896371156, ss3983965116, ss3983965117, ss3986161413, ss5148734447, ss5325208183, ss5506212393, ss5624003739, ss5627576955, ss5800090515, ss5833354835, ss5848287265, ss5935543444, ss5939420922	NC_000001.10:226550740:C:T	NC_000001.11:226363039:C:T	(self)
7764986, 41481564, 282088, 3004424, 97852, 10417981, 49496541, 2075858123, ss2170627481, ss3023881541, ss3688758268, ss3725111371, ss3770876383, ss3800420044, ss3842153318, ss3946626423, ss4485890206, ss5246025421, ss5446437552, ss5520239051, ss5676580877, ss5801697440, ss5849314732, ss5912235621	NC_000001.11:226363039:C:T	NC_000001.11:226363039:C:T	(self)
ss9831217	NT_004559.10:64058:C:T	NC_000001.11:226363039:C:T	(self)
ss61705451	NT_004559.12:2726934:C:T	NC_000001.11:226363039:C:T	(self)
ss98261, ss5003583, ss5586206, ss65761699, ss74889602, ss76877486, ss95212029, ss119366132, ss174380709	NT_167186.1:20068519:C:T	NC_000001.11:226363039:C:T	(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 rs747659

PMID	Title	Author	Year	Journal
28499365	Investigation of DNA repair-related SNPs underlying susceptibility to papillary thyroid carcinoma reveals MGMT as a novel candidate gene in Belarusian children exposed to radiation.	Lonjou C et al.	2017	BMC cancer

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

rs747659