Name: rs326
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.

rs326

Current Build 156

Released September 21, 2022

Organism: Homo sapiens
Position: chr8:19961928 (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: A>G
Variation Type: SNV Single Nucleotide Variation
Frequency: G=0.379478 (100444/264690, TOPMED)
G=0.310641 (56879/183102, ALFA)
G=0.375763 (52594/139966, GnomAD) (+ 24 more)
G=0.39235 (30873/78688, PAGE_STUDY)
G=0.19460 (5499/28258, 14KJPN)
G=0.19696 (3301/16760, 8.3KJPN)
G=0.3618 (2317/6404, 1000G_30x)
G=0.3494 (1750/5008, 1000G)
G=0.2728 (1222/4480, Estonian)
G=0.2940 (1133/3854, ALSPAC)
G=0.2956 (1096/3708, TWINSUK)
G=0.2085 (611/2930, KOREAN)
G=0.3922 (742/1892, HapMap)
G=0.2020 (370/1832, Korea1K)
G=0.3171 (359/1132, Daghestan)
G=0.296 (295/998, GoNL)
G=0.176 (138/786, PRJEB37584)
G=0.288 (180/626, Chileans)
G=0.263 (158/600, NorthernSweden)
G=0.015 (8/534, MGP)
A=0.390 (117/300, SGDP_PRJ)
G=0.412 (89/216, Qatari)
G=0.181 (39/216, Vietnamese)
G=0.29 (22/76, Ancient Sardinia)
G=0.23 (9/40, GENOME_DK)
A=0.50 (11/22, Siberian)
G=0.50 (11/22, Siberian)

Clinical Significance: Reported in ClinVar
Gene : Consequence: LPL : Intron Variant
Publications: 18 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	183316	A=0.689258	G=0.310742	0.479205	0.10069	0.420105	19
European	Sub	154706	A=0.694892	G=0.305108	0.483873	0.094088	0.422039	1
African	Sub	7240	A=0.4409	G=0.5591	0.201657	0.31989	0.478453	2
African Others	Sub	264	A=0.348	G=0.652	0.151515	0.454545	0.393939	2
African American	Sub	6976	A=0.4444	G=0.5556	0.203555	0.314794	0.481651	1
Asian	Sub	6336	A=0.7997	G=0.2003	0.638573	0.039141	0.322285	0
East Asian	Sub	4486	A=0.7998	G=0.2002	0.637985	0.038342	0.323674	0
Other Asian	Sub	1850	A=0.7995	G=0.2005	0.64	0.041081	0.318919	0
Latin American 1	Sub	588	A=0.668	G=0.332	0.438776	0.102041	0.459184	0
Latin American 2	Sub	3108	A=0.7085	G=0.2915	0.508366	0.091377	0.400257	1
South Asian	Sub	294	A=0.755	G=0.245	0.557823	0.047619	0.394558	0
Other	Sub	11044	A=0.70373	G=0.29627	0.496197	0.088736	0.415067	0

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	A=0.620522	G=0.379478
Allele Frequency Aggregator	Total	Global	183102	A=0.689359	G=0.310641
Allele Frequency Aggregator	European	Sub	154528	A=0.694994	G=0.305006
Allele Frequency Aggregator	Other	Sub	11022	A=0.70368	G=0.29632
Allele Frequency Aggregator	African	Sub	7226	A=0.4410	G=0.5590
Allele Frequency Aggregator	Asian	Sub	6336	A=0.7997	G=0.2003
Allele Frequency Aggregator	Latin American 2	Sub	3108	A=0.7085	G=0.2915
Allele Frequency Aggregator	Latin American 1	Sub	588	A=0.668	G=0.332
Allele Frequency Aggregator	South Asian	Sub	294	A=0.755	G=0.245
gnomAD - Genomes	Global	Study-wide	139966	A=0.624237	G=0.375763
gnomAD - Genomes	European	Sub	75862	A=0.70532	G=0.29468
gnomAD - Genomes	African	Sub	41898	A=0.44649	G=0.55351
gnomAD - Genomes	American	Sub	13626	A=0.69199	G=0.30801
gnomAD - Genomes	Ashkenazi Jewish	Sub	3316	A=0.5546	G=0.4454
gnomAD - Genomes	East Asian	Sub	3118	A=0.7996	G=0.2004
gnomAD - Genomes	Other	Sub	2146	A=0.6510	G=0.3490
The PAGE Study	Global	Study-wide	78688	A=0.60765	G=0.39235
The PAGE Study	AfricanAmerican	Sub	32506	A=0.45367	G=0.54633
The PAGE Study	Mexican	Sub	10810	A=0.72794	G=0.27206
The PAGE Study	Asian	Sub	8316	A=0.8129	G=0.1871
The PAGE Study	PuertoRican	Sub	7918	A=0.6464	G=0.3536
The PAGE Study	NativeHawaiian	Sub	4534	A=0.8187	G=0.1813
The PAGE Study	Cuban	Sub	4228	A=0.6407	G=0.3593
The PAGE Study	Dominican	Sub	3828	A=0.5831	G=0.4169
The PAGE Study	CentralAmerican	Sub	2450	A=0.6984	G=0.3016
The PAGE Study	SouthAmerican	Sub	1982	A=0.7180	G=0.2820
The PAGE Study	NativeAmerican	Sub	1260	A=0.7016	G=0.2984
The PAGE Study	SouthAsian	Sub	856	A=0.759	G=0.241
14KJPN	JAPANESE	Study-wide	28258	A=0.80540	G=0.19460
8.3KJPN	JAPANESE	Study-wide	16760	A=0.80304	G=0.19696
1000Genomes_30x	Global	Study-wide	6404	A=0.6382	G=0.3618
1000Genomes_30x	African	Sub	1786	A=0.3987	G=0.6013
1000Genomes_30x	Europe	Sub	1266	A=0.6627	G=0.3373
1000Genomes_30x	South Asian	Sub	1202	A=0.7870	G=0.2130
1000Genomes_30x	East Asian	Sub	1170	A=0.7632	G=0.2368
1000Genomes_30x	American	Sub	980	A=0.711	G=0.289
1000Genomes	Global	Study-wide	5008	A=0.6506	G=0.3494
1000Genomes	African	Sub	1322	A=0.4138	G=0.5862
1000Genomes	East Asian	Sub	1008	A=0.7659	G=0.2341
1000Genomes	Europe	Sub	1006	A=0.6730	G=0.3270
1000Genomes	South Asian	Sub	978	A=0.784	G=0.216
1000Genomes	American	Sub	694	A=0.713	G=0.287
Genetic variation in the Estonian population	Estonian	Study-wide	4480	A=0.7272	G=0.2728
The Avon Longitudinal Study of Parents and Children	PARENT AND CHILD COHORT	Study-wide	3854	A=0.7060	G=0.2940
UK 10K study - Twins	TWIN COHORT	Study-wide	3708	A=0.7044	G=0.2956
KOREAN population from KRGDB	KOREAN	Study-wide	2930	A=0.7915	G=0.2085
HapMap	Global	Study-wide	1892	A=0.6078	G=0.3922
HapMap	American	Sub	770	A=0.738	G=0.262
HapMap	African	Sub	692	A=0.389	G=0.611
HapMap	Asian	Sub	254	A=0.787	G=0.213
HapMap	Europe	Sub	176	A=0.642	G=0.358
Korean Genome Project	KOREAN	Study-wide	1832	A=0.7980	G=0.2020
Genome-wide autozygosity in Daghestan	Global	Study-wide	1132	A=0.6829	G=0.3171
Genome-wide autozygosity in Daghestan	Daghestan	Sub	624	A=0.683	G=0.317
Genome-wide autozygosity in Daghestan	Near_East	Sub	144	A=0.646	G=0.354
Genome-wide autozygosity in Daghestan	Central Asia	Sub	122	A=0.730	G=0.270
Genome-wide autozygosity in Daghestan	Europe	Sub	108	A=0.657	G=0.343
Genome-wide autozygosity in Daghestan	South Asian	Sub	98	A=0.69	G=0.31
Genome-wide autozygosity in Daghestan	Caucasus	Sub	36	A=0.72	G=0.28
Genome of the Netherlands Release 5	Genome of the Netherlands	Study-wide	998	A=0.704	G=0.296
CNV burdens in cranial meningiomas	Global	Study-wide	786	A=0.824	G=0.176
CNV burdens in cranial meningiomas	CRM	Sub	786	A=0.824	G=0.176
Chileans	Chilean	Study-wide	626	A=0.712	G=0.288
Northern Sweden	ACPOP	Study-wide	600	A=0.737	G=0.263
Medical Genome Project healthy controls from Spanish population	Spanish controls	Study-wide	534	A=0.985	G=0.015
SGDP_PRJ	Global	Study-wide	300	A=0.390	G=0.610
Qatari	Global	Study-wide	216	A=0.588	G=0.412
A Vietnamese Genetic Variation Database	Global	Study-wide	216	A=0.819	G=0.181
Ancient Sardinia genome-wide 1240k capture data generation and analysis	Global	Study-wide	76	A=0.71	G=0.29
The Danish reference pan genome	Danish	Study-wide	40	A=0.78	G=0.23
Siberian	Global	Study-wide	22	A=0.50	G=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.19961928A>G
GRCh37.p13 chr 8	NC_000008.10:g.19819439A>G
LPL RefSeqGene (LRG_1298)	NG_008855.2:g.65212A>G

Gene: LPL, lipoprotein lipase (plus strand)

Molecule type	Change	Amino acid[Codon]	SO Term
LPL transcript	NM_000237.3:c.1323-187A>G	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: G (allele ID: 16598 )

ClinVar Accession	Disease Names	Clinical Significance
RCV000001625.4	High density lipoprotein cholesterol level quantitative trait locus 11	Association
RCV001618206.3	not provided	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	A=	G
GRCh38.p14 chr 8	NC_000008.11:g.19961928=	NC_000008.11:g.19961928A>G
GRCh37.p13 chr 8	NC_000008.10:g.19819439=	NC_000008.10:g.19819439A>G
LPL RefSeqGene (LRG_1298)	NG_008855.2:g.65212=	NG_008855.2:g.65212A>G
LPL transcript	NM_000237.2:c.1323-187=	NM_000237.2:c.1323-187A>G
LPL transcript	NM_000237.3:c.1323-187=	NM_000237.3:c.1323-187A>G

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#.

123 SubSNP, 26 Frequency, 2 ClinVar submissions

No	Submitter	Submission ID	Date (Build)
1	DEBNICK	ss327	Sep 19, 2000 (36)
2	YUSUKE	ss4921958	Aug 28, 2002 (108)
3	BCM_SSAHASNP	ss10432513	Jul 11, 2003 (116)
4	SNP500CANCER	ss12675525	Nov 17, 2003 (118)
5	SSAHASNP	ss22669696	Apr 05, 2004 (121)
6	PERLEGEN	ss24648902	Sep 20, 2004 (123)
7	ABI	ss44867931	Mar 13, 2006 (126)
8	PERLEGEN	ss69043154	May 17, 2007 (127)
9	SI_EXO	ss71642295	May 17, 2007 (127)
10	AFFY	ss76699274	Dec 08, 2007 (130)
11	HGSV	ss82013098	Dec 14, 2007 (130)
12	HGSV	ss84378333	Dec 14, 2007 (130)
13	BCMHGSC_JDW	ss93851532	Mar 25, 2008 (129)
14	HUMANGENOME_JCVI	ss98056386	Feb 04, 2009 (130)
15	BGI	ss104512528	Dec 01, 2009 (131)
16	KRIBB_YJKIM	ss104807677	Feb 04, 2009 (130)
17	1000GENOMES	ss115099867	Jan 25, 2009 (130)
18	ILLUMINA-UK	ss115864245	Feb 14, 2009 (130)
19	ENSEMBL	ss143589397	Dec 01, 2009 (131)
20	COMPLETE_GENOMICS	ss164131695	Jul 04, 2010 (132)
21	PAGE_STUDY	ss181835742	Jul 04, 2010 (132)
22	BUSHMAN	ss198888189	Jul 04, 2010 (132)
23	BCM-HGSC-SUB	ss208655061	Jul 04, 2010 (132)
24	1000GENOMES	ss223585668	Jul 14, 2010 (132)
25	1000GENOMES	ss234352502	Jul 15, 2010 (132)
26	1000GENOMES	ss241227317	Jul 15, 2010 (132)
27	BL	ss254171508	May 09, 2011 (134)
28	GMI	ss279724043	May 04, 2012 (137)
29	PJP	ss294234343	May 09, 2011 (134)
30	ILLUMINA	ss410878566	Sep 17, 2011 (135)
31	EXOME_CHIP	ss491410898	May 04, 2012 (137)
32	TISHKOFF	ss560600154	Apr 25, 2013 (138)
33	SSMP	ss655035590	Apr 25, 2013 (138)
34	ILLUMINA	ss780684536	Aug 21, 2014 (142)
35	ILLUMINA	ss783357985	Aug 21, 2014 (142)
36	EVA-GONL	ss985272681	Aug 21, 2014 (142)
37	JMKIDD_LAB	ss1075340055	Aug 21, 2014 (142)
38	1000GENOMES	ss1328915345	Aug 21, 2014 (142)
39	HAMMER_LAB	ss1397520210	Sep 08, 2015 (146)
40	DDI	ss1431441598	Apr 01, 2015 (144)
41	OMIM-CURATED-RECORDS	ss1505810755	Dec 08, 2014 (142)
42	EVA_GENOME_DK	ss1582593786	Apr 01, 2015 (144)
43	EVA_DECODE	ss1594862342	Apr 01, 2015 (144)
44	EVA_UK10K_ALSPAC	ss1620133811	Apr 01, 2015 (144)
45	EVA_UK10K_TWINSUK	ss1663127844	Apr 01, 2015 (144)
46	EVA_MGP	ss1711194715	Apr 01, 2015 (144)
47	EVA_SVP	ss1713021098	Apr 01, 2015 (144)
48	ILLUMINA	ss1752723246	Sep 08, 2015 (146)
49	HAMMER_LAB	ss1805432814	Sep 08, 2015 (146)
50	ILLUMINA	ss1917826327	Feb 12, 2016 (147)
51	WEILL_CORNELL_DGM	ss1928562437	Feb 12, 2016 (147)
52	ILLUMINA	ss1946231546	Feb 12, 2016 (147)
53	ILLUMINA	ss1959093911	Feb 12, 2016 (147)
54	GENOMED	ss1970929954	Jul 19, 2016 (147)
55	JJLAB	ss2024980589	Sep 14, 2016 (149)
56	ILLUMINA	ss2094832980	Dec 20, 2016 (150)
57	ILLUMINA	ss2095209246	Dec 20, 2016 (150)
58	USC_VALOUEV	ss2153202049	Dec 20, 2016 (150)
59	HUMAN_LONGEVITY	ss2301288386	Dec 20, 2016 (150)
60	SYSTEMSBIOZJU	ss2626975172	Nov 08, 2017 (151)
61	ILLUMINA	ss2634720466	Nov 08, 2017 (151)
62	ILLUMINA	ss2634720467	Nov 08, 2017 (151)
63	GRF	ss2708962558	Nov 08, 2017 (151)
64	GNOMAD	ss2864093386	Nov 08, 2017 (151)
65	AFFY	ss2985433062	Nov 08, 2017 (151)
66	AFFY	ss2986076213	Nov 08, 2017 (151)
67	SWEGEN	ss3002804509	Nov 08, 2017 (151)
68	ILLUMINA	ss3022826108	Nov 08, 2017 (151)
69	BIOINF_KMB_FNS_UNIBA	ss3026281128	Nov 08, 2017 (151)
70	CSHL	ss3348082057	Nov 08, 2017 (151)
71	ILLUMINA	ss3630013663	Oct 12, 2018 (152)
72	ILLUMINA	ss3635162184	Oct 12, 2018 (152)
73	ILLUMINA	ss3640869474	Oct 12, 2018 (152)
74	ILLUMINA	ss3644964720	Oct 12, 2018 (152)
75	URBANLAB	ss3648868479	Oct 12, 2018 (152)
76	ILLUMINA	ss3653367064	Oct 12, 2018 (152)
77	ILLUMINA	ss3653367065	Oct 12, 2018 (152)
78	ILLUMINA	ss3654194876	Oct 12, 2018 (152)
79	EGCUT_WGS	ss3670484554	Jul 13, 2019 (153)
80	EVA_DECODE	ss3721555544	Jul 13, 2019 (153)
81	ILLUMINA	ss3726520379	Jul 13, 2019 (153)
82	ACPOP	ss3735467089	Jul 13, 2019 (153)
83	ILLUMINA	ss3744577757	Jul 13, 2019 (153)
84	ILLUMINA	ss3745461967	Jul 13, 2019 (153)
85	EVA	ss3767717820	Jul 13, 2019 (153)
86	PAGE_CC	ss3771428706	Jul 13, 2019 (153)
87	ILLUMINA	ss3772954560	Jul 13, 2019 (153)
88	PACBIO	ss3786087388	Jul 13, 2019 (153)
89	PACBIO	ss3791353793	Jul 13, 2019 (153)
90	PACBIO	ss3796234960	Jul 13, 2019 (153)
91	KHV_HUMAN_GENOMES	ss3810881299	Jul 13, 2019 (153)
92	EVA	ss3831054945	Apr 26, 2020 (154)
93	EVA	ss3839037607	Apr 26, 2020 (154)
94	EVA	ss3844495631	Apr 26, 2020 (154)
95	SGDP_PRJ	ss3869436809	Apr 26, 2020 (154)
96	KRGDB	ss3916862656	Apr 26, 2020 (154)
97	KOGIC	ss3963402276	Apr 26, 2020 (154)
98	FSA-LAB	ss3984393705	Apr 27, 2021 (155)
99	FSA-LAB	ss3984393706	Apr 27, 2021 (155)
100	EVA	ss3984602265	Apr 27, 2021 (155)
101	EVA	ss3985347120	Apr 27, 2021 (155)
102	TOPMED	ss4778094665	Apr 27, 2021 (155)
103	TOMMO_GENOMICS	ss5187654651	Apr 27, 2021 (155)
104	EVA	ss5237438122	Apr 27, 2021 (155)
105	1000G_HIGH_COVERAGE	ss5276330348	Oct 14, 2022 (156)
106	TRAN_CS_UWATERLOO	ss5314422739	Oct 14, 2022 (156)
107	EVA	ss5315316844	Oct 14, 2022 (156)
108	EVA	ss5379642502	Oct 14, 2022 (156)
109	HUGCELL_USP	ss5472980958	Oct 14, 2022 (156)
110	EVA	ss5509275492	Oct 14, 2022 (156)
111	1000G_HIGH_COVERAGE	ss5566254296	Oct 14, 2022 (156)
112	SANFORD_IMAGENETICS	ss5624687999	Oct 14, 2022 (156)
113	SANFORD_IMAGENETICS	ss5644923956	Oct 14, 2022 (156)
114	TOMMO_GENOMICS	ss5729271308	Oct 14, 2022 (156)
115	EVA	ss5800145670	Oct 14, 2022 (156)
116	YY_MCH	ss5809516784	Oct 14, 2022 (156)
117	EVA	ss5830224535	Oct 14, 2022 (156)
118	EVA	ss5847335293	Oct 14, 2022 (156)
119	EVA	ss5848169563	Oct 14, 2022 (156)
120	EVA	ss5856287114	Oct 14, 2022 (156)
121	EVA	ss5888021715	Oct 14, 2022 (156)
122	EVA	ss5974104453	Oct 14, 2022 (156)
123	EVA	ss5979856499	Oct 14, 2022 (156)
124	1000Genomes	NC_000008.10 - 19819439	Oct 12, 2018 (152)
125	1000Genomes_30x	NC_000008.11 - 19961928	Oct 14, 2022 (156)
126	The Avon Longitudinal Study of Parents and Children	NC_000008.10 - 19819439	Oct 12, 2018 (152)
127	Chileans	NC_000008.10 - 19819439	Apr 26, 2020 (154)
128	Genome-wide autozygosity in Daghestan	NC_000008.9 - 19863719	Apr 26, 2020 (154)
129	Genetic variation in the Estonian population	NC_000008.10 - 19819439	Oct 12, 2018 (152)
130	The Danish reference pan genome	NC_000008.10 - 19819439	Apr 26, 2020 (154)
131	gnomAD - Genomes	NC_000008.11 - 19961928	Apr 27, 2021 (155)
132	Genome of the Netherlands Release 5	NC_000008.10 - 19819439	Apr 26, 2020 (154)
133	HapMap	NC_000008.11 - 19961928	Apr 26, 2020 (154)
134	KOREAN population from KRGDB	NC_000008.10 - 19819439	Apr 26, 2020 (154)
135	Korean Genome Project	NC_000008.11 - 19961928	Apr 26, 2020 (154)
136	Medical Genome Project healthy controls from Spanish population	NC_000008.10 - 19819439	Apr 26, 2020 (154)
137	Northern Sweden	NC_000008.10 - 19819439	Jul 13, 2019 (153)
138	The PAGE Study	NC_000008.11 - 19961928	Jul 13, 2019 (153)
139	Ancient Sardinia genome-wide 1240k capture data generation and analysis	NC_000008.10 - 19819439	Apr 27, 2021 (155)
140	CNV burdens in cranial meningiomas	NC_000008.10 - 19819439	Apr 27, 2021 (155)
141	Qatari	NC_000008.10 - 19819439	Apr 26, 2020 (154)
142	SGDP_PRJ	NC_000008.10 - 19819439	Apr 26, 2020 (154)
143	Siberian	NC_000008.10 - 19819439	Apr 26, 2020 (154)
144	8.3KJPN	NC_000008.10 - 19819439	Apr 27, 2021 (155)
145	14KJPN	NC_000008.11 - 19961928	Oct 14, 2022 (156)
146	TopMed	NC_000008.11 - 19961928	Apr 27, 2021 (155)
147	UK 10K study - Twins	NC_000008.10 - 19819439	Oct 12, 2018 (152)
148	A Vietnamese Genetic Variation Database	NC_000008.10 - 19819439	Jul 13, 2019 (153)
149	ALFA	NC_000008.11 - 19961928	Apr 27, 2021 (155)
150	ClinVar	RCV000001625.4	Jul 13, 2019 (153)
151	ClinVar	RCV001618206.3	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)
rs3735960	Oct 08, 2002 (108)
rs17410667	Oct 08, 2004 (123)
rs56464365	May 23, 2008 (130)
rs57219486	May 23, 2008 (130)

Added to this RefSNP Cluster:

Submission IDs	Observation SPDI	Canonical SPDI	Source RSIDs
494104, ss82013098, ss84378333, ss93851532, ss115099867, ss115864245, ss164131695, ss198888189, ss208655061, ss254171508, ss279724043, ss294234343, ss410878566, ss1397520210, ss1594862342, ss1713021098	NC_000008.9:19863718:A:G	NC_000008.11:19961927:A:G	(self)
41010096, 22797215, 429642, 16222802, 8758724, 10186994, 24040050, 310475, 8751954, 573047, 151701, 10604367, 21453789, 5718403, 45623958, 22797215, 5083502, ss223585668, ss234352502, ss241227317, ss491410898, ss560600154, ss655035590, ss780684536, ss783357985, ss985272681, ss1075340055, ss1328915345, ss1431441598, ss1582593786, ss1620133811, ss1663127844, ss1711194715, ss1752723246, ss1805432814, ss1917826327, ss1928562437, ss1946231546, ss1959093911, ss1970929954, ss2024980589, ss2094832980, ss2095209246, ss2153202049, ss2626975172, ss2634720466, ss2634720467, ss2708962558, ss2864093386, ss2985433062, ss2986076213, ss3002804509, ss3022826108, ss3348082057, ss3630013663, ss3635162184, ss3640869474, ss3644964720, ss3653367064, ss3653367065, ss3654194876, ss3670484554, ss3735467089, ss3744577757, ss3745461967, ss3767717820, ss3772954560, ss3786087388, ss3791353793, ss3796234960, ss3831054945, ss3839037607, ss3869436809, ss3916862656, ss3984393705, ss3984393706, ss3984602265, ss3985347120, ss5187654651, ss5237438122, ss5315316844, ss5379642502, ss5509275492, ss5624687999, ss5644923956, ss5800145670, ss5830224535, ss5847335293, ss5848169563, ss5974104453, ss5979856499	NC_000008.10:19819438:A:G	NC_000008.11:19961927:A:G	(self)
RCV000001625.4, RCV001618206.3, 53780231, 289196292, 3581008, 19780277, 650175, 63108412, 615472225, 10375471511, ss1505810755, ss2301288386, ss3026281128, ss3648868479, ss3721555544, ss3726520379, ss3771428706, ss3810881299, ss3844495631, ss3963402276, ss4778094665, ss5276330348, ss5314422739, ss5472980958, ss5566254296, ss5729271308, ss5809516784, ss5856287114, ss5888021715	NC_000008.11:19961927:A:G	NC_000008.11:19961927:A:G	(self)
ss10432513	NT_030737.7:3540662:A:G	NC_000008.11:19961927:A:G	(self)
ss22669696	NT_030737.8:7630359:A:G	NC_000008.11:19961927:A:G	(self)
ss327, ss4921958, ss12675525, ss24648902, ss44867931, ss69043154, ss71642295, ss76699274, ss98056386, ss104512528, ss104807677, ss143589397, ss181835742	NT_167187.1:7677584:A:G	NC_000008.11:19961927:A:G	(self)

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

18 citations for rs326

PMID	Title	Author	Year	Journal
15980532	SOP3v2: web-based selection of oligonucleotide primer trios for genotyping of human and mouse polymorphisms.	Ringquist S et al.	2005	Nucleic acids research
17952847	Common single-nucleotide polymorphisms act in concert to affect plasma levels of high-density lipoprotein cholesterol.	Spirin V et al.	2007	American journal of human genetics
19041386	Genetic-epidemiological evidence on genes associated with HDL cholesterol levels: a systematic in-depth review.	Boes E et al.	2009	Experimental gerontology
20150529	Associations of lipoprotein lipase gene polymorphisms with longitudinal plasma lipid trends in young adults: The Coronary Artery Risk Development in Young Adults (CARDIA) study.	Tang W et al.	2010	Circulation. Cardiovascular genetics
20159871	Association between a literature-based genetic risk score and cardiovascular events in women.	Paynter NP et al.	2010	JAMA
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
21149302	Effects of genetic variants on lipid parameters and dyslipidemia in a Chinese population.	Liu Y et al.	2011	Journal of lipid research
21860704	Implications of discoveries from genome-wide association studies in current cardiovascular practice.	Jeemon P et al.	2011	World journal of cardiology
21995669	A genome-wide survey for SNPs altering microRNA seed sites identifies functional candidates in GWAS.	Richardson K et al.	2011	BMC genomics
23101478	Single nucleotide polymorphisms (SNPs) involved in insulin resistance, weight regulation, lipid metabolism and inflammation in relation to metabolic syndrome: an epidemiological study.	Povel CM et al.	2012	Cardiovascular diabetology
23105935	Interaction Effects of Lipoprotein Lipase Polymorphisms with Lifestyle on Lipid Levels in a Korean Population: A Cross-sectional Study.	Pyun JA et al.	2012	Genomics & informatics
23246289	Gain-of-function lipoprotein lipase variant rs13702 modulates lipid traits through disruption of a microRNA-410 seed site.	Richardson K et al.	2013	American journal of human genetics
25626708	Resequencing of LPL in African Blacks and associations with lipoprotein-lipid levels.	Pirim D et al.	2015	European journal of human genetics
28349126	Genetics of stroke in a UK African ancestry case-control study: South London Ethnicity and Stroke Study.	Traylor M et al.	2017	Neurology. Genetics
29403300	Association between IL-18/18R gene polymorphisms and coronary artery disease: influence of IL-18/18R genetic variants on cytokine expression.	Mitrokhin V et al.	2018	Journal of inflammation research
34480216	Nutrigenetic variants and response to diet/lifestyle intervention in obese subjects: a pilot study.	Franzago M et al.	2022	Acta diabetologica
34765892	Genetic association of LPL rs326 with BMI among the Kuwaiti population.	Malek SH et al.	2021	Cardiovascular endocrinology & metabolism
35351696	Empowering consumers to PREVENT diet-related diseases through OMICS sciences (PREVENTOMICS): protocol for a parallel double-blinded randomised intervention trial to investigate biomarker-based nutrition plans for weight loss.	Aldubayan MA et al.	2022	BMJ open

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

Genome context:

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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).
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dbSNP Short Genetic Variations

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Reference SNP (rs) Report

rs326