Name: rs10086908
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.

rs10086908

Current Build 156

Released September 21, 2022

Organism: Homo sapiens
Position: chr8:126999692 (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: T>C
Variation Type: SNV Single Nucleotide Variation
Frequency: C=0.295632 (90254/305292, ALFA)
C=0.281873 (74609/264690, TOPMED)
C=0.277116 (38783/139952, GnomAD) (+ 21 more)
C=0.27027 (21270/78698, PAGE_STUDY)
C=0.20331 (5745/28258, 14KJPN)
C=0.20513 (3438/16760, 8.3KJPN)
C=0.2711 (1736/6404, 1000G_30x)
C=0.2682 (1343/5008, 1000G)
C=0.2612 (1170/4480, Estonian)
C=0.2989 (1152/3854, ALSPAC)
C=0.2956 (1096/3708, TWINSUK)
C=0.1867 (547/2930, KOREAN)
C=0.2735 (570/2084, HGDP_Stanford)
C=0.2748 (520/1892, HapMap)
C=0.310 (309/998, GoNL)
C=0.177 (140/790, PRJEB37584)
C=0.305 (183/600, NorthernSweden)
T=0.417 (106/254, SGDP_PRJ)
C=0.241 (52/216, Qatari)
C=0.208 (44/212, Vietnamese)
C=0.41 (32/78, Ancient Sardinia)
C=0.28 (11/40, GENOME_DK)
T=0.50 (12/24, Siberian)
C=0.50 (12/24, Siberian)

Clinical Significance: Not Reported in ClinVar
Gene : Consequence: LOC105375751 : Intron 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.

Release Version: 20230706150541

Population	Group	Sample Size	Ref Allele	Alt Allele
Total	Global	310328	T=0.704458	C=0.295542
European	Sub	273416	T=0.701265	C=0.298735
African	Sub	9524	T=0.7513	C=0.2487
African Others	Sub	372	T=0.772	C=0.228
African American	Sub	9152	T=0.7504	C=0.2496
Asian	Sub	3940	T=0.7937	C=0.2063
East Asian	Sub	3194	T=0.8062	C=0.1938
Other Asian	Sub	746	T=0.740	C=0.260
Latin American 1	Sub	1134	T=0.7143	C=0.2857
Latin American 2	Sub	7226	T=0.6507	C=0.3493
South Asian	Sub	5222	T=0.7646	C=0.2354
Other	Sub	9866	T=0.7185	C=0.2815

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
Allele Frequency Aggregator	Total	Global	305292	T=0.704368	C=0.295632
Allele Frequency Aggregator	European	Sub	270322	T=0.701245	C=0.298755
Allele Frequency Aggregator	Other	Sub	9066	T=0.7216	C=0.2784
Allele Frequency Aggregator	African	Sub	8382	T=0.7518	C=0.2482
Allele Frequency Aggregator	Latin American 2	Sub	7226	T=0.6507	C=0.3493
Allele Frequency Aggregator	South Asian	Sub	5222	T=0.7646	C=0.2354
Allele Frequency Aggregator	Asian	Sub	3940	T=0.7937	C=0.2063
Allele Frequency Aggregator	Latin American 1	Sub	1134	T=0.7143	C=0.2857
TopMed	Global	Study-wide	264690	T=0.718127	C=0.281873
gnomAD - Genomes	Global	Study-wide	139952	T=0.722884	C=0.277116
gnomAD - Genomes	European	Sub	75826	T=0.70614	C=0.29386
gnomAD - Genomes	African	Sub	41900	T=0.75783	C=0.24217
gnomAD - Genomes	American	Sub	13626	T=0.67613	C=0.32387
gnomAD - Genomes	Ashkenazi Jewish	Sub	3322	T=0.7748	C=0.2252
gnomAD - Genomes	East Asian	Sub	3134	T=0.8181	C=0.1819
gnomAD - Genomes	Other	Sub	2144	T=0.7094	C=0.2906
The PAGE Study	Global	Study-wide	78698	T=0.72973	C=0.27027
The PAGE Study	AfricanAmerican	Sub	32514	T=0.75229	C=0.24771
The PAGE Study	Mexican	Sub	10810	T=0.64838	C=0.35162
The PAGE Study	Asian	Sub	8316	T=0.7938	C=0.2062
The PAGE Study	PuertoRican	Sub	7918	T=0.6912	C=0.3088
The PAGE Study	NativeHawaiian	Sub	4534	T=0.8240	C=0.1760
The PAGE Study	Cuban	Sub	4230	T=0.6991	C=0.3009
The PAGE Study	Dominican	Sub	3828	T=0.7019	C=0.2981
The PAGE Study	CentralAmerican	Sub	2450	T=0.6816	C=0.3184
The PAGE Study	SouthAmerican	Sub	1982	T=0.6604	C=0.3396
The PAGE Study	NativeAmerican	Sub	1260	T=0.6976	C=0.3024
The PAGE Study	SouthAsian	Sub	856	T=0.756	C=0.244
14KJPN	JAPANESE	Study-wide	28258	T=0.79669	C=0.20331
8.3KJPN	JAPANESE	Study-wide	16760	T=0.79487	C=0.20513
1000Genomes_30x	Global	Study-wide	6404	T=0.7289	C=0.2711
1000Genomes_30x	African	Sub	1786	T=0.7800	C=0.2200
1000Genomes_30x	Europe	Sub	1266	T=0.6730	C=0.3270
1000Genomes_30x	South Asian	Sub	1202	T=0.7446	C=0.2554
1000Genomes_30x	East Asian	Sub	1170	T=0.7786	C=0.2214
1000Genomes_30x	American	Sub	980	T=0.630	C=0.370
1000Genomes	Global	Study-wide	5008	T=0.7318	C=0.2682
1000Genomes	African	Sub	1322	T=0.7753	C=0.2247
1000Genomes	East Asian	Sub	1008	T=0.7837	C=0.2163
1000Genomes	Europe	Sub	1006	T=0.6839	C=0.3161
1000Genomes	South Asian	Sub	978	T=0.734	C=0.266
1000Genomes	American	Sub	694	T=0.640	C=0.360
Genetic variation in the Estonian population	Estonian	Study-wide	4480	T=0.7388	C=0.2612
The Avon Longitudinal Study of Parents and Children	PARENT AND CHILD COHORT	Study-wide	3854	T=0.7011	C=0.2989
UK 10K study - Twins	TWIN COHORT	Study-wide	3708	T=0.7044	C=0.2956
KOREAN population from KRGDB	KOREAN	Study-wide	2930	T=0.8133	C=0.1867
HGDP-CEPH-db Supplement 1	Global	Study-wide	2084	T=0.7265	C=0.2735
HGDP-CEPH-db Supplement 1	Est_Asia	Sub	470	T=0.821	C=0.179
HGDP-CEPH-db Supplement 1	Central_South_Asia	Sub	414	T=0.787	C=0.213
HGDP-CEPH-db Supplement 1	Middle_Est	Sub	350	T=0.703	C=0.297
HGDP-CEPH-db Supplement 1	Europe	Sub	320	T=0.688	C=0.312
HGDP-CEPH-db Supplement 1	Africa	Sub	242	T=0.707	C=0.293
HGDP-CEPH-db Supplement 1	America	Sub	216	T=0.579	C=0.421
HGDP-CEPH-db Supplement 1	Oceania	Sub	72	T=0.56	C=0.44
HapMap	Global	Study-wide	1892	T=0.7252	C=0.2748
HapMap	American	Sub	770	T=0.722	C=0.278
HapMap	African	Sub	692	T=0.715	C=0.285
HapMap	Asian	Sub	254	T=0.780	C=0.220
HapMap	Europe	Sub	176	T=0.699	C=0.301
Genome of the Netherlands Release 5	Genome of the Netherlands	Study-wide	998	T=0.690	C=0.310
CNV burdens in cranial meningiomas	Global	Study-wide	790	T=0.823	C=0.177
CNV burdens in cranial meningiomas	CRM	Sub	790	T=0.823	C=0.177
Northern Sweden	ACPOP	Study-wide	600	T=0.695	C=0.305
SGDP_PRJ	Global	Study-wide	254	T=0.417	C=0.583
Qatari	Global	Study-wide	216	T=0.759	C=0.241
A Vietnamese Genetic Variation Database	Global	Study-wide	212	T=0.792	C=0.208
Ancient Sardinia genome-wide 1240k capture data generation and analysis	Global	Study-wide	78	T=0.59	C=0.41
The Danish reference pan genome	Danish	Study-wide	40	T=0.72	C=0.28
Siberian	Global	Study-wide	24	T=0.50	C=0.50

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.126999692T>C
GRCh37.p13 chr 8	NC_000008.10:g.128011937T>C

Gene: LOC105375751, uncharacterized LOC105375751 (plus strand)

Molecule type	Change	Amino acid[Codon]	SO Term
LOC105375751 transcript variant X12	XR_007061105.1:n.	N/A	Intron Variant
LOC105375751 transcript variant X5	XR_001746078.3:n.	N/A	Genic Downstream Transcript Variant
LOC105375751 transcript variant X8	XR_001746079.3:n.	N/A	Genic Downstream Transcript Variant
LOC105375751 transcript variant X4	XR_001746080.3:n.	N/A	Genic Downstream Transcript Variant
LOC105375751 transcript variant X1	XR_007061097.1:n.	N/A	Genic Downstream Transcript Variant
LOC105375751 transcript variant X2	XR_007061098.1:n.	N/A	Genic Downstream Transcript Variant
LOC105375751 transcript variant X3	XR_007061099.1:n.	N/A	Genic Downstream Transcript Variant
LOC105375751 transcript variant X6	XR_007061100.1:n.	N/A	Genic Downstream Transcript Variant
LOC105375751 transcript variant X7	XR_007061101.1:n.	N/A	Genic Downstream Transcript Variant
LOC105375751 transcript variant X9	XR_007061102.1:n.	N/A	Genic Downstream Transcript Variant
LOC105375751 transcript variant X10	XR_007061103.1:n.	N/A	Genic Downstream Transcript Variant
LOC105375751 transcript variant X11	XR_007061104.1:n.	N/A	Genic Downstream 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.

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	T=	C
GRCh38.p14 chr 8	NC_000008.11:g.126999692=	NC_000008.11:g.126999692T>C
GRCh37.p13 chr 8	NC_000008.10:g.128011937=	NC_000008.10:g.128011937T>C

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#.

129 SubSNP, 23 Frequency submissions

No	Submitter	Submission ID	Date (Build)
1	WI_SSAHASNP	ss13942530	Dec 05, 2003 (119)
2	PERLEGEN	ss23515924	Sep 20, 2004 (123)
3	ILLUMINA	ss66696821	Dec 02, 2006 (127)
4	ILLUMINA	ss66868603	Dec 02, 2006 (127)
5	ILLUMINA	ss66943384	Dec 02, 2006 (127)
6	ILLUMINA	ss70358286	May 18, 2007 (127)
7	ILLUMINA	ss70464047	May 24, 2008 (130)
8	ILLUMINA	ss70985124	May 18, 2007 (127)
9	ILLUMINA	ss75634107	Dec 06, 2007 (129)
10	KRIBB_YJKIM	ss84901726	Dec 15, 2007 (130)
11	BGI	ss104574341	Dec 01, 2009 (131)
12	1000GENOMES	ss113754111	Jan 25, 2009 (130)
13	ILLUMINA	ss121261627	Dec 01, 2009 (131)
14	ILLUMINA	ss152563874	Dec 01, 2009 (131)
15	GMI	ss156878390	Dec 01, 2009 (131)
16	ILLUMINA	ss159107988	Dec 01, 2009 (131)
17	ILLUMINA	ss159861339	Dec 01, 2009 (131)
18	COMPLETE_GENOMICS	ss162784814	Jul 04, 2010 (132)
19	COMPLETE_GENOMICS	ss165712229	Jul 04, 2010 (132)
20	COMPLETE_GENOMICS	ss167123078	Jul 04, 2010 (132)
21	ILLUMINA	ss169250221	Jul 04, 2010 (132)
22	ILLUMINA	ss169641625	Jul 04, 2010 (132)
23	BUSHMAN	ss199767730	Jul 04, 2010 (132)
24	BCM-HGSC-SUB	ss206488414	Jul 04, 2010 (132)
25	1000GENOMES	ss223976857	Jul 14, 2010 (132)
26	1000GENOMES	ss234626048	Jul 15, 2010 (132)
27	1000GENOMES	ss241440269	Jul 15, 2010 (132)
28	GMI	ss280002462	May 04, 2012 (137)
29	PAGE_STUDY	ss469414532	May 04, 2012 (137)
30	ILLUMINA	ss479181808	May 04, 2012 (137)
31	ILLUMINA	ss479183947	May 04, 2012 (137)
32	ILLUMINA	ss479511766	Sep 08, 2015 (146)
33	ILLUMINA	ss484391926	May 04, 2012 (137)
34	ILLUMINA	ss536574317	Sep 08, 2015 (146)
35	TISHKOFF	ss561067571	Apr 25, 2013 (138)
36	SSMP	ss655502053	Apr 25, 2013 (138)
37	ILLUMINA	ss778346665	Sep 08, 2015 (146)
38	ILLUMINA	ss782642322	Sep 08, 2015 (146)
39	ILLUMINA	ss783611729	Sep 08, 2015 (146)
40	ILLUMINA	ss825328017	Jul 19, 2016 (147)
41	ILLUMINA	ss831892537	Sep 08, 2015 (146)
42	ILLUMINA	ss832620761	Jul 13, 2019 (153)
43	ILLUMINA	ss833801326	Sep 08, 2015 (146)
44	EVA-GONL	ss986053215	Aug 21, 2014 (142)
45	JMKIDD_LAB	ss1075914259	Aug 21, 2014 (142)
46	1000GENOMES	ss1331897834	Aug 21, 2014 (142)
47	DDI	ss1431669534	Apr 01, 2015 (144)
48	EVA_GENOME_DK	ss1582884137	Apr 01, 2015 (144)
49	EVA_DECODE	ss1595669204	Apr 01, 2015 (144)
50	EVA_UK10K_ALSPAC	ss1621721744	Apr 01, 2015 (144)
51	EVA_UK10K_TWINSUK	ss1664715777	Apr 01, 2015 (144)
52	EVA_SVP	ss1713070694	Apr 01, 2015 (144)
53	ILLUMINA	ss1752711911	Sep 08, 2015 (146)
54	HAMMER_LAB	ss1805759677	Sep 08, 2015 (146)
55	WEILL_CORNELL_DGM	ss1929326087	Feb 12, 2016 (147)
56	ILLUMINA	ss1946246739	Feb 12, 2016 (147)
57	ILLUMINA	ss1959142811	Feb 12, 2016 (147)
58	GENOMED	ss1971092734	Jul 19, 2016 (147)
59	JJLAB	ss2025366531	Sep 14, 2016 (149)
60	ILLUMINA	ss2094834312	Dec 20, 2016 (150)
61	ILLUMINA	ss2095214960	Dec 20, 2016 (150)
62	USC_VALOUEV	ss2153595197	Dec 20, 2016 (150)
63	HUMAN_LONGEVITY	ss2307349793	Dec 20, 2016 (150)
64	SYSTEMSBIOZJU	ss2627158047	Nov 08, 2017 (151)
65	ILLUMINA	ss2634803251	Nov 08, 2017 (151)
66	ILLUMINA	ss2635187678	Nov 08, 2017 (151)
67	GRF	ss2709381870	Nov 08, 2017 (151)
68	ILLUMINA	ss2711148814	Nov 08, 2017 (151)
69	GNOMAD	ss2872660966	Nov 08, 2017 (151)
70	SWEGEN	ss3003992344	Nov 08, 2017 (151)
71	ILLUMINA	ss3022883063	Nov 08, 2017 (151)
72	BIOINF_KMB_FNS_UNIBA	ss3026468898	Nov 08, 2017 (151)
73	CSHL	ss3348403248	Nov 08, 2017 (151)
74	ILLUMINA	ss3625970673	Oct 12, 2018 (152)
75	ILLUMINA	ss3630157925	Oct 12, 2018 (152)
76	ILLUMINA	ss3632699479	Oct 12, 2018 (152)
77	ILLUMINA	ss3633515792	Oct 12, 2018 (152)
78	ILLUMINA	ss3634243164	Oct 12, 2018 (152)
79	ILLUMINA	ss3635190391	Oct 12, 2018 (152)
80	ILLUMINA	ss3635921595	Oct 12, 2018 (152)
81	ILLUMINA	ss3636931282	Oct 12, 2018 (152)
82	ILLUMINA	ss3637674830	Oct 12, 2018 (152)
83	ILLUMINA	ss3638786009	Oct 12, 2018 (152)
84	ILLUMINA	ss3639395898	Oct 12, 2018 (152)
85	ILLUMINA	ss3639728989	Oct 12, 2018 (152)
86	ILLUMINA	ss3640897682	Oct 12, 2018 (152)
87	ILLUMINA	ss3641234898	Oct 12, 2018 (152)
88	ILLUMINA	ss3641532666	Oct 12, 2018 (152)
89	ILLUMINA	ss3643715110	Oct 12, 2018 (152)
90	ILLUMINA	ss3644980010	Oct 12, 2018 (152)
91	ILLUMINA	ss3653429292	Oct 12, 2018 (152)
92	EGCUT_WGS	ss3671715420	Jul 13, 2019 (153)
93	EVA_DECODE	ss3723000340	Jul 13, 2019 (153)
94	ILLUMINA	ss3726571899	Jul 13, 2019 (153)
95	ACPOP	ss3736097923	Jul 13, 2019 (153)
96	ILLUMINA	ss3744312452	Jul 13, 2019 (153)
97	ILLUMINA	ss3745490258	Jul 13, 2019 (153)
98	EVA	ss3768603740	Jul 13, 2019 (153)
99	PAGE_CC	ss3771469138	Jul 13, 2019 (153)
100	ILLUMINA	ss3772982573	Jul 13, 2019 (153)
101	PACBIO	ss3786278786	Jul 13, 2019 (153)
102	PACBIO	ss3791512053	Jul 13, 2019 (153)
103	PACBIO	ss3796393599	Jul 13, 2019 (153)
104	KHV_HUMAN_GENOMES	ss3811769765	Jul 13, 2019 (153)
105	EVA	ss3831412785	Apr 26, 2020 (154)
106	EVA	ss3839215791	Apr 26, 2020 (154)
107	EVA	ss3844676255	Apr 26, 2020 (154)
108	HGDP	ss3847929816	Apr 26, 2020 (154)
109	SGDP_PRJ	ss3870987718	Apr 26, 2020 (154)
110	KRGDB	ss3918588325	Apr 26, 2020 (154)
111	EVA	ss3984612028	Apr 26, 2021 (155)
112	EVA	ss3985388801	Apr 26, 2021 (155)
113	EVA	ss4017413893	Apr 26, 2021 (155)
114	TOPMED	ss4804104416	Apr 26, 2021 (155)
115	TOMMO_GENOMICS	ss5190983444	Apr 26, 2021 (155)
116	1000G_HIGH_COVERAGE	ss5278929827	Oct 16, 2022 (156)
117	EVA	ss5315363486	Oct 16, 2022 (156)
118	EVA	ss5384435270	Oct 16, 2022 (156)
119	HUGCELL_USP	ss5475313052	Oct 16, 2022 (156)
120	EVA	ss5509550557	Oct 16, 2022 (156)
121	1000G_HIGH_COVERAGE	ss5570255187	Oct 16, 2022 (156)
122	SANFORD_IMAGENETICS	ss5646407282	Oct 16, 2022 (156)
123	TOMMO_GENOMICS	ss5733703604	Oct 16, 2022 (156)
124	EVA	ss5799768911	Oct 16, 2022 (156)
125	YY_MCH	ss5810130711	Oct 16, 2022 (156)
126	EVA	ss5831219137	Oct 16, 2022 (156)
127	EVA	ss5856570748	Oct 16, 2022 (156)
128	EVA	ss5891014963	Oct 16, 2022 (156)
129	EVA	ss5975658364	Oct 16, 2022 (156)
130	1000Genomes	NC_000008.10 - 128011937	Oct 12, 2018 (152)
131	1000Genomes_30x	NC_000008.11 - 126999692	Oct 16, 2022 (156)
132	The Avon Longitudinal Study of Parents and Children	NC_000008.10 - 128011937	Oct 12, 2018 (152)
133	Genetic variation in the Estonian population	NC_000008.10 - 128011937	Oct 12, 2018 (152)
134	The Danish reference pan genome	NC_000008.10 - 128011937	Apr 26, 2020 (154)
135	gnomAD - Genomes	NC_000008.11 - 126999692	Apr 26, 2021 (155)
136	Genome of the Netherlands Release 5	NC_000008.10 - 128011937	Apr 26, 2020 (154)
137	HGDP-CEPH-db Supplement 1	NC_000008.9 - 128081119	Apr 26, 2020 (154)
138	HapMap	NC_000008.11 - 126999692	Apr 26, 2020 (154)
139	KOREAN population from KRGDB	NC_000008.10 - 128011937	Apr 26, 2020 (154)
140	Northern Sweden	NC_000008.10 - 128011937	Jul 13, 2019 (153)
141	The PAGE Study	NC_000008.11 - 126999692	Jul 13, 2019 (153)
142	Ancient Sardinia genome-wide 1240k capture data generation and analysis	NC_000008.10 - 128011937	Apr 26, 2021 (155)
143	CNV burdens in cranial meningiomas	NC_000008.10 - 128011937	Apr 26, 2021 (155)
144	Qatari	NC_000008.10 - 128011937	Apr 26, 2020 (154)
145	SGDP_PRJ	NC_000008.10 - 128011937	Apr 26, 2020 (154)
146	Siberian	NC_000008.10 - 128011937	Apr 26, 2020 (154)
147	8.3KJPN	NC_000008.10 - 128011937	Apr 26, 2021 (155)
148	14KJPN	NC_000008.11 - 126999692	Oct 16, 2022 (156)
149	TopMed	NC_000008.11 - 126999692	Apr 26, 2021 (155)
150	UK 10K study - Twins	NC_000008.10 - 128011937	Oct 12, 2018 (152)
151	A Vietnamese Genetic Variation Database	NC_000008.10 - 128011937	Jul 13, 2019 (153)
152	ALFA	NC_000008.11 - 126999692	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)
rs58276021	May 24, 2008 (130)

Added to this RefSNP Cluster:

Submission IDs	Observation SPDI	Canonical SPDI	Source RSIDs
607708, ss113754111, ss162784814, ss165712229, ss167123078, ss199767730, ss206488414, ss280002462, ss479181808, ss825328017, ss1595669204, ss1713070694, ss2635187678, ss3639395898, ss3639728989, ss3643715110, ss3847929816	NC_000008.9:128081118:T:C	NC_000008.11:126999691:T:C	(self)
44096775, 24535359, 17453668, 9049074, 10949076, 25765719, 9382788, 614728, 161467, 11368017, 23004698, 6111551, 48952751, 24535359, 5450222, ss223976857, ss234626048, ss241440269, ss479183947, ss479511766, ss484391926, ss536574317, ss561067571, ss655502053, ss778346665, ss782642322, ss783611729, ss831892537, ss832620761, ss833801326, ss986053215, ss1075914259, ss1331897834, ss1431669534, ss1582884137, ss1621721744, ss1664715777, ss1752711911, ss1805759677, ss1929326087, ss1946246739, ss1959142811, ss1971092734, ss2025366531, ss2094834312, ss2095214960, ss2153595197, ss2627158047, ss2634803251, ss2709381870, ss2711148814, ss2872660966, ss3003992344, ss3022883063, ss3348403248, ss3625970673, ss3630157925, ss3632699479, ss3633515792, ss3634243164, ss3635190391, ss3635921595, ss3636931282, ss3637674830, ss3638786009, ss3640897682, ss3641234898, ss3641532666, ss3644980010, ss3653429292, ss3671715420, ss3736097923, ss3744312452, ss3745490258, ss3768603740, ss3772982573, ss3786278786, ss3791512053, ss3796393599, ss3831412785, ss3839215791, ss3870987718, ss3918588325, ss3984612028, ss3985388801, ss4017413893, ss5190983444, ss5315363486, ss5384435270, ss5509550557, ss5646407282, ss5799768911, ss5831219137, ss5975658364	NC_000008.10:128011936:T:C	NC_000008.11:126999691:T:C	(self)
57781122, 311061694, 3724052, 690607, 67540708, 641481976, 7706070798, ss2307349793, ss3026468898, ss3723000340, ss3726571899, ss3771469138, ss3811769765, ss3844676255, ss4804104416, ss5278929827, ss5475313052, ss5570255187, ss5733703604, ss5810130711, ss5856570748, ss5891014963	NC_000008.11:126999691:T:C	NC_000008.11:126999691:T:C	(self)
ss13942530	NT_008046.14:41230115:T:C	NC_000008.11:126999691:T:C	(self)
ss23515924, ss66696821, ss66868603, ss66943384, ss70358286, ss70464047, ss70985124, ss75634107, ss84901726, ss104574341, ss121261627, ss152563874, ss156878390, ss159107988, ss159861339, ss169250221, ss169641625, ss469414532	NT_008046.16:41285485:T:C	NC_000008.11:126999691:T:C	(self)

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

32 citations for rs10086908

PMID	Title	Author	Year	Journal
17978284	Confirmation study of prostate cancer risk variants at 8q24 in African Americans identifies a novel risk locus.	Robbins C et al.	2007	Genome research
18670647	Homozygous deletions and recurrent amplifications implicate new genes involved in prostate cancer.	Liu W et al.	2008	Neoplasia (New York, N.Y.)
19549807	Prostate cancer risk associated loci in African Americans.	Xu J et al.	2009	Cancer epidemiology, biomarkers & prevention
20564319	Prostate cancer risk-associated variants reported from genome-wide association studies: meta-analysis and their contribution to genetic Variation.	Kim ST et al.	2010	The Prostate
20667146	Prostate cancer genomics: can we distinguish between indolent and fatal disease using genetic markers?	Wiklund F et al.	2010	Genome medicine
20818410	In vivo exploration of the functional activity of the non-coding 8q24 prostate cancer risk locus.	Lamb DJ et al.	2010	Asian journal of andrology
21071540	Validation of genome-wide prostate cancer associations in men of African descent.	Chang BL et al.	2011	Cancer epidemiology, biomarkers & prevention
21295399	Polygenic risk score improves prostate cancer risk prediction: results from the Stockholm-1 cohort study.	Aly M et al.	2011	European urology
21468051	Polygenic susceptibility to prostate and breast cancer: implications for personalised screening.	Pashayan N et al.	2011	British journal of cancer
21541972	Functional annotation of risk loci identified through genome-wide association studies for prostate cancer.	Lu Y et al.	2011	The Prostate
21637779	Characterizing genetic risk at known prostate cancer susceptibility loci in African Americans.	Haiman CA et al.	2011	PLoS genetics
21756274	Systematic confirmation study of reported prostate cancer risk-associated single nucleotide polymorphisms in Chinese men.	Liu F et al.	2011	Cancer science
21769933	A risk prediction algorithm based on family history and common genetic variants: application to prostate cancer with potential clinical impact.	Macinnis RJ et al.	2011	Genetic epidemiology
21820706	Prostate cancer risk alleles and their associations with other malignancies.	Cooper PR et al.	2011	Urology
21856995	Human polymorphisms at long non-coding RNAs (lncRNAs) and association with prostate cancer risk.	Jin G et al.	2011	Carcinogenesis
22101116	Evaluation of multiple risk-associated single nucleotide polymorphisms versus prostate-specific antigen at baseline to predict prostate cancer in unscreened men.	Klein RJ et al.	2012	European urology
22181854	Prostate cancer genomics, biology, and risk assessment through genome-wide association studies.	Nakagawa H et al.	2012	Cancer science
22219177	A genome-wide search for loci interacting with known prostate cancer risk-associated genetic variants.	Tao S et al.	2012	Carcinogenesis
22985493	Common genetic variants associated with disease from genome-wide association studies are mutually exclusive in prostate cancer and rheumatoid arthritis.	Orozco G et al.	2013	BJU international
23071574	Reproducibility, performance, and clinical utility of a genetic risk prediction model for prostate cancer in Japanese.	Akamatsu S et al.	2012	PloS one
23573233	Characterization of SNPs associated with prostate cancer in men of Ashkenazic descent from the set of GWAS identified SNPs: impact of cancer family history and cumulative SNP risk prediction.	Agalliu I et al.	2013	PloS one
24038036	Evaluation of reported prostate cancer risk-associated SNPs from genome-wide association studies of various racial populations in Chinese men.	Na R et al.	2013	The Prostate
24497837	Comprehensive functional annotation of 77 prostate cancer risk loci.	Hazelett DJ et al.	2014	PLoS genetics
24701578	The role of single nucleotide polymorphisms in predicting prostate cancer risk and therapeutic decision making.	Van den Broeck T et al.	2014	BioMed research international
24740154	Genome-wide association scan for variants associated with early-onset prostate cancer.	Lange EM et al.	2014	PloS one
25560306	Known susceptibility SNPs for sporadic prostate cancer show a similar association with "hereditary" prostate cancer.	Cremers RG et al.	2015	The Prostate
26828504	The Cumulative Effect of Gene-Gene and Gene-Environment Interactions on the Risk of Prostate Cancer in Chinese Men.	Liu M et al.	2016	International journal of environmental research and public health
26966665	An examination of clinical differences between carriers and non-carriers of chromosome 8q24 risk alleles in a New Zealand Caucasian population with prostate cancer.	Bishop KS et al.	2016	PeerJ
27070714	Common genetic variation associated with increased susceptibility to prostate cancer does not increase risk of radiotherapy toxicity.	Ahmed M et al.	2016	British journal of cancer
28139693	Genome-wide association study of prostate-specific antigen levels identifies novel loci independent of prostate cancer.	Hoffmann TJ et al.	2017	Nature communications
30937291	The incidence, mortality, and risk factors of prostate cancer in Asian men.	Ha Chung B et al.	2019	Prostate international
32590746	Cumulative evidence of relationships between multiple variants in 8q24 region and cancer incidence.	Tong Y et al.	2020	Medicine

The Flanks tab provides retrieving flanking sequences of a SNP on all molecules that have placements.

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Genomic regions, transcripts, and products
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dbSNP Short Genetic Variations

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Reference SNP (rs) Report

rs10086908