Name: rs270
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.

rs270

Current Build 156

Released September 21, 2022

Organism: Homo sapiens
Position: chr8:19956165 (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=0.135030 (35741/264690, TOPMED)
A=0.152447 (32335/212106, ALFA)
A=0.142447 (19968/140178, GnomAD) (+ 22 more)
A=0.06692 (1891/28258, 14KJPN)
A=0.06504 (1090/16760, 8.3KJPN)
A=0.1252 (802/6404, 1000G_30x)
A=0.1280 (641/5008, 1000G)
A=0.1904 (853/4480, Estonian)
A=0.1624 (626/3854, ALSPAC)
A=0.1629 (604/3708, TWINSUK)
A=0.1106 (324/2930, KOREAN)
A=0.1161 (242/2084, HGDP_Stanford)
A=0.1149 (217/1888, HapMap)
A=0.1223 (224/1832, Korea1K)
A=0.1332 (151/1134, Daghestan)
A=0.135 (135/998, GoNL)
A=0.207 (124/600, NorthernSweden)
A=0.165 (88/534, MGP)
A=0.065 (14/216, Qatari)
A=0.114 (24/210, Vietnamese)
C=0.422 (43/102, SGDP_PRJ)
A=0.17 (14/80, Ancient Sardinia)
A=0.15 (6/40, GENOME_DK)
C=0.50 (8/16, Siberian)
A=0.50 (8/16, Siberian)

Clinical Significance: Reported in ClinVar
Gene : Consequence: LPL : Intron Variant
Publications: 2 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: 20231103111315

Population	Group	Sample Size	Ref Allele	Alt Allele	Ref HMOZ	Alt HMOZ	HTRZ	HWEP
Total	Global	212200	C=0.847592	A=0.152408	0.718822	0.023638	0.25754	1
European	Sub	181914	C=0.843761	A=0.156239	0.711886	0.024363	0.263751	0
African	Sub	9742	C=0.9078	A=0.0922	0.82365	0.008007	0.168343	0
African Others	Sub	348	C=0.928	A=0.072	0.856322	0.0	0.143678	1
African American	Sub	9394	C=0.9071	A=0.0929	0.82244	0.008303	0.169257	0
Asian	Sub	704	C=0.881	A=0.119	0.784091	0.022727	0.193182	2
East Asian	Sub	558	C=0.896	A=0.104	0.802867	0.010753	0.18638	0
Other Asian	Sub	146	C=0.822	A=0.178	0.712329	0.068493	0.219178	3
Latin American 1	Sub	844	C=0.827	A=0.173	0.701422	0.047393	0.251185	4
Latin American 2	Sub	6902	C=0.8379	A=0.1621	0.703274	0.027528	0.269197	0
South Asian	Sub	5044	C=0.8755	A=0.1245	0.767248	0.016257	0.216495	0
Other	Sub	7050	C=0.8519	A=0.1481	0.729078	0.025248	0.245674	2

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=0.864970	A=0.135030
Allele Frequency Aggregator	Total	Global	212106	C=0.847553	A=0.152447
Allele Frequency Aggregator	European	Sub	181838	C=0.843718	A=0.156282
Allele Frequency Aggregator	African	Sub	9742	C=0.9078	A=0.0922
Allele Frequency Aggregator	Other	Sub	7032	C=0.8518	A=0.1482
Allele Frequency Aggregator	Latin American 2	Sub	6902	C=0.8379	A=0.1621
Allele Frequency Aggregator	South Asian	Sub	5044	C=0.8755	A=0.1245
Allele Frequency Aggregator	Latin American 1	Sub	844	C=0.827	A=0.173
Allele Frequency Aggregator	Asian	Sub	704	C=0.881	A=0.119
gnomAD - Genomes	Global	Study-wide	140178	C=0.857553	A=0.142447
gnomAD - Genomes	European	Sub	75890	C=0.83103	A=0.16897
gnomAD - Genomes	African	Sub	42028	C=0.90799	A=0.09201
gnomAD - Genomes	American	Sub	13652	C=0.84039	A=0.15961
gnomAD - Genomes	Ashkenazi Jewish	Sub	3324	C=0.8968	A=0.1032
gnomAD - Genomes	East Asian	Sub	3132	C=0.8611	A=0.1389
gnomAD - Genomes	Other	Sub	2152	C=0.8508	A=0.1492
14KJPN	JAPANESE	Study-wide	28258	C=0.93308	A=0.06692
8.3KJPN	JAPANESE	Study-wide	16760	C=0.93496	A=0.06504
1000Genomes_30x	Global	Study-wide	6404	C=0.8748	A=0.1252
1000Genomes_30x	African	Sub	1786	C=0.9289	A=0.0711
1000Genomes_30x	Europe	Sub	1266	C=0.8310	A=0.1690
1000Genomes_30x	South Asian	Sub	1202	C=0.8569	A=0.1431
1000Genomes_30x	East Asian	Sub	1170	C=0.8829	A=0.1171
1000Genomes_30x	American	Sub	980	C=0.845	A=0.155
1000Genomes	Global	Study-wide	5008	C=0.8720	A=0.1280
1000Genomes	African	Sub	1322	C=0.9266	A=0.0734
1000Genomes	East Asian	Sub	1008	C=0.8889	A=0.1111
1000Genomes	Europe	Sub	1006	C=0.8231	A=0.1769
1000Genomes	South Asian	Sub	978	C=0.857	A=0.143
1000Genomes	American	Sub	694	C=0.836	A=0.164
Genetic variation in the Estonian population	Estonian	Study-wide	4480	C=0.8096	A=0.1904
The Avon Longitudinal Study of Parents and Children	PARENT AND CHILD COHORT	Study-wide	3854	C=0.8376	A=0.1624
UK 10K study - Twins	TWIN COHORT	Study-wide	3708	C=0.8371	A=0.1629
KOREAN population from KRGDB	KOREAN	Study-wide	2930	C=0.8894	A=0.1106
HGDP-CEPH-db Supplement 1	Global	Study-wide	2084	C=0.8839	A=0.1161
HGDP-CEPH-db Supplement 1	Est_Asia	Sub	470	C=0.877	A=0.123
HGDP-CEPH-db Supplement 1	Central_South_Asia	Sub	414	C=0.879	A=0.121
HGDP-CEPH-db Supplement 1	Middle_Est	Sub	350	C=0.923	A=0.077
HGDP-CEPH-db Supplement 1	Europe	Sub	320	C=0.853	A=0.147
HGDP-CEPH-db Supplement 1	Africa	Sub	242	C=0.921	A=0.079
HGDP-CEPH-db Supplement 1	America	Sub	216	C=0.810	A=0.190
HGDP-CEPH-db Supplement 1	Oceania	Sub	72	C=1.00	A=0.00
HapMap	Global	Study-wide	1888	C=0.8851	A=0.1149
HapMap	American	Sub	766	C=0.859	A=0.141
HapMap	African	Sub	692	C=0.923	A=0.077
HapMap	Asian	Sub	254	C=0.902	A=0.098
HapMap	Europe	Sub	176	C=0.824	A=0.176
Korean Genome Project	KOREAN	Study-wide	1832	C=0.8777	A=0.1223
Genome-wide autozygosity in Daghestan	Global	Study-wide	1134	C=0.8668	A=0.1332
Genome-wide autozygosity in Daghestan	Daghestan	Sub	626	C=0.867	A=0.133
Genome-wide autozygosity in Daghestan	Near_East	Sub	144	C=0.819	A=0.181
Genome-wide autozygosity in Daghestan	Central Asia	Sub	122	C=0.869	A=0.131
Genome-wide autozygosity in Daghestan	Europe	Sub	108	C=0.843	A=0.157
Genome-wide autozygosity in Daghestan	South Asian	Sub	98	C=0.92	A=0.08
Genome-wide autozygosity in Daghestan	Caucasus	Sub	36	C=0.97	A=0.03
Genome of the Netherlands Release 5	Genome of the Netherlands	Study-wide	998	C=0.865	A=0.135
Northern Sweden	ACPOP	Study-wide	600	C=0.793	A=0.207
Medical Genome Project healthy controls from Spanish population	Spanish controls	Study-wide	534	C=0.835	A=0.165
Qatari	Global	Study-wide	216	C=0.935	A=0.065
A Vietnamese Genetic Variation Database	Global	Study-wide	210	C=0.886	A=0.114
SGDP_PRJ	Global	Study-wide	102	C=0.422	A=0.578
Ancient Sardinia genome-wide 1240k capture data generation and analysis	Global	Study-wide	80	C=0.82	A=0.17
The Danish reference pan genome	Danish	Study-wide	40	C=0.85	A=0.15
Siberian	Global	Study-wide	16	C=0.50	A=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.19956165C>A
GRCh37.p13 chr 8	NC_000008.10:g.19813676C>A
LPL RefSeqGene (LRG_1298)	NG_008855.2:g.59449C>A

Gene: LPL, lipoprotein lipase (plus strand)

Molecule type	Change	Amino acid[Codon]	SO Term
LPL transcript	NM_000237.3:c.1018+82C>A	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.

Allele: A (allele ID: 1216029 )

ClinVar Accession	Disease Names	Clinical Significance
RCV001609219.3	not provided	Benign
RCV001832828.1	Hyperlipoproteinemia, type I	Benign

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 8	NC_000008.11:g.19956165=	NC_000008.11:g.19956165C>A
GRCh37.p13 chr 8	NC_000008.10:g.19813676=	NC_000008.10:g.19813676C>A
LPL RefSeqGene (LRG_1298)	NG_008855.2:g.59449=	NG_008855.2:g.59449C>A
LPL transcript	NM_000237.2:c.1018+82=	NM_000237.2:c.1018+82C>A
LPL transcript	NM_000237.3:c.1018+82=	NM_000237.3:c.1018+82C>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#.

118 SubSNP, 24 Frequency, 2 ClinVar submissions

No	Submitter	Submission ID	Date (Build)
1	DEBNICK	ss270	Sep 19, 2000 (36)
2	IMCJ-GDT	ss16343012	Feb 27, 2004 (120)
3	ABI	ss44897794	Mar 14, 2006 (126)
4	ILLUMINA	ss66744333	Nov 30, 2006 (127)
5	ILLUMINA	ss67268366	Nov 30, 2006 (127)
6	ILLUMINA	ss67668487	Nov 30, 2006 (127)
7	ILLUMINA	ss70746686	May 25, 2008 (130)
8	ILLUMINA	ss71318474	May 17, 2007 (127)
9	ILLUMINA	ss75697102	Dec 07, 2007 (129)
10	ILLUMINA	ss79143814	Dec 15, 2007 (130)
11	KRIBB_YJKIM	ss83344079	Dec 15, 2007 (130)
12	HUMANGENOME_JCVI	ss98056377	Feb 05, 2009 (130)
13	1000GENOMES	ss112894499	Jan 25, 2009 (130)
14	ILLUMINA	ss122086931	Dec 01, 2009 (131)
15	ILLUMINA	ss154228661	Dec 01, 2009 (131)
16	ILLUMINA	ss159405202	Dec 01, 2009 (131)
17	ILLUMINA	ss160570863	Dec 01, 2009 (131)
18	COMPLETE_GENOMICS	ss162224029	Jul 04, 2010 (132)
19	COMPLETE_GENOMICS	ss166350927	Jul 04, 2010 (132)
20	ILLUMINA	ss171346686	Jul 04, 2010 (132)
21	ILLUMINA	ss173433661	Jul 04, 2010 (132)
22	1000GENOMES	ss223585635	Jul 14, 2010 (132)
23	1000GENOMES	ss234352471	Jul 15, 2010 (132)
24	1000GENOMES	ss241227295	Jul 15, 2010 (132)
25	ILLUMINA	ss244291567	Jul 04, 2010 (132)
26	PJP	ss294234328	May 09, 2011 (134)
27	ILLUMINA	ss410878538	Sep 17, 2011 (135)
28	ILLUMINA	ss480638671	May 04, 2012 (137)
29	ILLUMINA	ss480653921	May 04, 2012 (137)
30	ILLUMINA	ss481497603	Sep 08, 2015 (146)
31	ILLUMINA	ss485114409	May 04, 2012 (137)
32	ILLUMINA	ss537117364	Sep 08, 2015 (146)
33	TISHKOFF	ss560600113	Apr 25, 2013 (138)
34	SSMP	ss655035553	Apr 25, 2013 (138)
35	ILLUMINA	ss778503646	Sep 08, 2015 (146)
36	ILLUMINA	ss783003509	Sep 08, 2015 (146)
37	ILLUMINA	ss783963929	Sep 08, 2015 (146)
38	ILLUMINA	ss825474332	Apr 01, 2015 (144)
39	ILLUMINA	ss832260704	Sep 08, 2015 (146)
40	ILLUMINA	ss832916902	Jul 13, 2019 (153)
41	ILLUMINA	ss833959807	Sep 08, 2015 (146)
42	EVA-GONL	ss985272620	Aug 21, 2014 (142)
43	JMKIDD_LAB	ss1075340007	Aug 21, 2014 (142)
44	1000GENOMES	ss1328915155	Aug 21, 2014 (142)
45	HAMMER_LAB	ss1397520198	Sep 08, 2015 (146)
46	EVA_GENOME_DK	ss1582593754	Apr 01, 2015 (144)
47	EVA_DECODE	ss1594862274	Apr 01, 2015 (144)
48	EVA_UK10K_ALSPAC	ss1620133705	Apr 01, 2015 (144)
49	EVA_UK10K_TWINSUK	ss1663127738	Apr 01, 2015 (144)
50	EVA_MGP	ss1711194709	Apr 01, 2015 (144)
51	EVA_SVP	ss1713021092	Apr 01, 2015 (144)
52	ILLUMINA	ss1752723238	Sep 08, 2015 (146)
53	HAMMER_LAB	ss1805432785	Sep 08, 2015 (146)
54	WEILL_CORNELL_DGM	ss1928562371	Feb 12, 2016 (147)
55	GENOMED	ss1970929935	Jul 19, 2016 (147)
56	JJLAB	ss2024980551	Sep 14, 2016 (149)
57	USC_VALOUEV	ss2153202014	Dec 20, 2016 (150)
58	HUMAN_LONGEVITY	ss2301287953	Dec 20, 2016 (150)
59	SYSTEMSBIOZJU	ss2626975146	Nov 08, 2017 (151)
60	ILLUMINA	ss2634720447	Nov 08, 2017 (151)
61	ILLUMINA	ss2635180593	Nov 08, 2017 (151)
62	GRF	ss2708962522	Nov 08, 2017 (151)
63	GNOMAD	ss2864092866	Nov 08, 2017 (151)
64	AFFY	ss2985433052	Nov 08, 2017 (151)
65	AFFY	ss2986076179	Nov 08, 2017 (151)
66	SWEGEN	ss3002804435	Nov 08, 2017 (151)
67	BIOINF_KMB_FNS_UNIBA	ss3026281101	Nov 08, 2017 (151)
68	CSHL	ss3348082026	Nov 08, 2017 (151)
69	ILLUMINA	ss3630013641	Oct 12, 2018 (152)
70	ILLUMINA	ss3632620994	Oct 12, 2018 (152)
71	ILLUMINA	ss3633493724	Oct 12, 2018 (152)
72	ILLUMINA	ss3634220170	Oct 12, 2018 (152)
73	ILLUMINA	ss3635162176	Oct 12, 2018 (152)
74	ILLUMINA	ss3635899140	Oct 12, 2018 (152)
75	ILLUMINA	ss3636899255	Oct 12, 2018 (152)
76	ILLUMINA	ss3637652279	Oct 12, 2018 (152)
77	ILLUMINA	ss3638748370	Oct 12, 2018 (152)
78	ILLUMINA	ss3639376747	Oct 12, 2018 (152)
79	ILLUMINA	ss3639717193	Oct 12, 2018 (152)
80	ILLUMINA	ss3640869466	Oct 12, 2018 (152)
81	ILLUMINA	ss3643680168	Oct 12, 2018 (152)
82	OMUKHERJEE_ADBS	ss3646373021	Oct 12, 2018 (152)
83	URBANLAB	ss3648868467	Oct 12, 2018 (152)
84	ILLUMINA	ss3654194866	Oct 12, 2018 (152)
85	EGCUT_WGS	ss3670484471	Jul 13, 2019 (153)
86	EVA_DECODE	ss3721555444	Jul 13, 2019 (153)
87	ACPOP	ss3735467036	Jul 13, 2019 (153)
88	ILLUMINA	ss3745461959	Jul 13, 2019 (153)
89	EVA	ss3767717757	Jul 13, 2019 (153)
90	ILLUMINA	ss3772954552	Jul 13, 2019 (153)
91	KHV_HUMAN_GENOMES	ss3810881222	Jul 13, 2019 (153)
92	EVA	ss3831054901	Apr 26, 2020 (154)
93	EVA	ss3839037595	Apr 26, 2020 (154)
94	EVA	ss3844495619	Apr 26, 2020 (154)
95	HGDP	ss3847906864	Apr 26, 2020 (154)
96	SGDP_PRJ	ss3869436722	Apr 26, 2020 (154)
97	KRGDB	ss3916862543	Apr 26, 2020 (154)
98	KOGIC	ss3963402176	Apr 26, 2020 (154)
99	FSA-LAB	ss3984393697	Apr 27, 2021 (155)
100	EVA	ss3985347113	Apr 27, 2021 (155)
101	EVA	ss3986415479	Apr 27, 2021 (155)
102	EVA	ss4017379941	Apr 27, 2021 (155)
103	TOPMED	ss4778093067	Apr 27, 2021 (155)
104	TOMMO_GENOMICS	ss5187654423	Apr 27, 2021 (155)
105	1000G_HIGH_COVERAGE	ss5276330181	Oct 14, 2022 (156)
106	EVA	ss5315316836	Oct 14, 2022 (156)
107	EVA	ss5379642210	Oct 14, 2022 (156)
108	HUGCELL_USP	ss5472980795	Oct 14, 2022 (156)
109	1000G_HIGH_COVERAGE	ss5566254051	Oct 14, 2022 (156)
110	SANFORD_IMAGENETICS	ss5644923849	Oct 14, 2022 (156)
111	TOMMO_GENOMICS	ss5729271027	Oct 14, 2022 (156)
112	EVA	ss5799750257	Oct 14, 2022 (156)
113	YY_MCH	ss5809516737	Oct 14, 2022 (156)
114	EVA	ss5830224469	Oct 14, 2022 (156)
115	EVA	ss5848702266	Oct 14, 2022 (156)
116	EVA	ss5856287088	Oct 14, 2022 (156)
117	EVA	ss5888021528	Oct 14, 2022 (156)
118	EVA	ss5974104346	Oct 14, 2022 (156)
119	1000Genomes	NC_000008.10 - 19813676	Oct 12, 2018 (152)
120	1000Genomes_30x	NC_000008.11 - 19956165	Oct 14, 2022 (156)
121	The Avon Longitudinal Study of Parents and Children	NC_000008.10 - 19813676	Oct 12, 2018 (152)
122	Genome-wide autozygosity in Daghestan	NC_000008.9 - 19857956	Apr 26, 2020 (154)
123	Genetic variation in the Estonian population	NC_000008.10 - 19813676	Oct 12, 2018 (152)
124	The Danish reference pan genome	NC_000008.10 - 19813676	Apr 26, 2020 (154)
125	gnomAD - Genomes	NC_000008.11 - 19956165	Apr 27, 2021 (155)
126	Genome of the Netherlands Release 5	NC_000008.10 - 19813676	Apr 26, 2020 (154)
127	HGDP-CEPH-db Supplement 1	NC_000008.9 - 19857956	Apr 26, 2020 (154)
128	HapMap	NC_000008.11 - 19956165	Apr 26, 2020 (154)
129	KOREAN population from KRGDB	NC_000008.10 - 19813676	Apr 26, 2020 (154)
130	Korean Genome Project	NC_000008.11 - 19956165	Apr 26, 2020 (154)
131	Medical Genome Project healthy controls from Spanish population	NC_000008.10 - 19813676	Apr 26, 2020 (154)
132	Northern Sweden	NC_000008.10 - 19813676	Jul 13, 2019 (153)
133	Ancient Sardinia genome-wide 1240k capture data generation and analysis	NC_000008.10 - 19813676	Apr 27, 2021 (155)
134	Qatari	NC_000008.10 - 19813676	Apr 26, 2020 (154)
135	SGDP_PRJ	NC_000008.10 - 19813676	Apr 26, 2020 (154)
136	Siberian	NC_000008.10 - 19813676	Apr 26, 2020 (154)
137	8.3KJPN	NC_000008.10 - 19813676	Apr 27, 2021 (155)
138	14KJPN	NC_000008.11 - 19956165	Oct 14, 2022 (156)
139	TopMed	NC_000008.11 - 19956165	Apr 27, 2021 (155)
140	UK 10K study - Twins	NC_000008.10 - 19813676	Oct 12, 2018 (152)
141	A Vietnamese Genetic Variation Database	NC_000008.10 - 19813676	Jul 13, 2019 (153)
142	ALFA	NC_000008.11 - 19956165	Apr 27, 2021 (155)
143	ClinVar	RCV001609219.3	Oct 14, 2022 (156)
144	ClinVar	RCV001832828.1	Oct 14, 2022 (156)

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)
rs58882966	May 25, 2008 (130)

Added to this RefSNP Cluster:

Submission IDs	Observation SPDI	Canonical SPDI	Source RSIDs
494092, 584756, ss112894499, ss162224029, ss166350927, ss294234328, ss480638671, ss825474332, ss1397520198, ss1594862274, ss1713021092, ss2635180593, ss3639376747, ss3639717193, ss3643680168, ss3847906864	NC_000008.9:19857955:C:A	NC_000008.11:19956164:C:A	(self)
41009898, 22797098, 16222719, 8758692, 10186936, 24039937, 310469, 8751901, 573040, 10604301, 21453702, 5718368, 45623730, 22797098, 5083469, ss223585635, ss234352471, ss241227295, ss480653921, ss481497603, ss485114409, ss537117364, ss560600113, ss655035553, ss778503646, ss783003509, ss783963929, ss832260704, ss832916902, ss833959807, ss985272620, ss1075340007, ss1328915155, ss1582593754, ss1620133705, ss1663127738, ss1711194709, ss1752723238, ss1805432785, ss1928562371, ss1970929935, ss2024980551, ss2153202014, ss2626975146, ss2634720447, ss2708962522, ss2864092866, ss2985433052, ss2986076179, ss3002804435, ss3348082026, ss3630013641, ss3632620994, ss3633493724, ss3634220170, ss3635162176, ss3635899140, ss3636899255, ss3637652279, ss3638748370, ss3640869466, ss3646373021, ss3654194866, ss3670484471, ss3735467036, ss3745461959, ss3767717757, ss3772954552, ss3831054901, ss3839037595, ss3869436722, ss3916862543, ss3984393697, ss3985347113, ss3986415479, ss4017379941, ss5187654423, ss5315316836, ss5379642210, ss5644923849, ss5799750257, ss5830224469, ss5848702266, ss5974104346	NC_000008.10:19813675:C:A	NC_000008.11:19956164:C:A	(self)
RCV001609219.3, RCV001832828.1, 53779986, 289194913, 3580983, 19780177, 63108131, 615470627, 5802200862, ss2301287953, ss3026281101, ss3648868467, ss3721555444, ss3810881222, ss3844495619, ss3963402176, ss4778093067, ss5276330181, ss5472980795, ss5566254051, ss5729271027, ss5809516737, ss5856287088, ss5888021528	NC_000008.11:19956164:C:A	NC_000008.11:19956164:C:A	(self)
ss270, ss16343012, ss44897794, ss66744333, ss67268366, ss67668487, ss70746686, ss71318474, ss75697102, ss79143814, ss83344079, ss98056377, ss122086931, ss154228661, ss159405202, ss160570863, ss171346686, ss173433661, ss244291567, ss410878538	NT_167187.1:7671821:C:A	NC_000008.11:19956164:C:A	(self)

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

2 citations for rs270

PMID	Title	Author	Year	Journal
20650961	Application of statistical and functional methodologies for the investigation of genetic determinants of coronary heart disease biomarkers: lipoprotein lipase genotype and plasma triglycerides as an exemplar.	Smith AJ et al.	2010	Human molecular genetics
20673868	A genetic association study of maternal and fetal candidate genes that predispose to preterm prelabor rupture of membranes (PROM).	Romero R et al.	2010	American journal of obstetrics and gynecology

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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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.
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dbSNP Short Genetic Variations

Welcome to the Reference SNP (rs) Report

Reference SNP (rs) Report

rs270