Name: rs887829
Published: September 3, 2024
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.

rs887829

Current Build 157

Released September 3, 2024

Organism: Homo sapiens
Position: chr2:233759924 (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 / C>G / C>T
Variation Type: SNV Single Nucleotide Variation
Frequency: T=0.327903 (115401/351936, ALFA)
T=0.355563 (94114/264690, TOPMED)
T=0.361387 (53812/148904, GnomAD_genomes) (+ 21 more)
T=0.35530 (27960/78694, PAGE_STUDY)
T=0.11297 (8749/77442, 38KJPN)
T=0.1243 (899/7234, Korea4K)
T=0.3579 (2292/6404, 1000G_30X)
T=0.3540 (1773/5008, 1000G)
T=0.3451 (1546/4480, Estonian)
T=0.3215 (1239/3854, ALSPAC)
T=0.3128 (1160/3708, TWINSUK)
T=0.1317 (386/2930, KOREAN)
T=0.3635 (687/1890, HapMap)
T=0.1299 (238/1832, Korea1K)
T=0.121 (95/788, PRJEB37584)
T=0.323 (202/626, Chileans)
T=0.322 (193/600, NorthernSweden)
C=0.377 (95/252, SGDP_PRJ)
T=0.319 (69/216, Qatari)
T=0.088 (19/216, Vietnamese)
T=0.292 (42/144, PharmGKB)
T=0.33 (13/40, GENOME_DK)
T=0.29 (10/34, Ancient Sardinia)
C=0.43 (12/28, Siberian)

Clinical Significance: Not Reported in ClinVar
Gene : Consequence: UGT1A10 : Intron Variant
UGT1A3 : Intron Variant
UGT1A4 : Intron Variant (+ 6 more)
UGT1A5 : Intron Variant
UGT1A6 : Intron Variant
UGT1A7 : Intron Variant
UGT1A8 : Intron Variant
UGT1A9 : Intron Variant
UGT1A1 : 2KB Upstream Variant
Publications: 69 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	351936	C=0.672097	T=0.327903	0.453975	0.109781	0.436244	10
European	Sub	300524	C=0.671537	T=0.328463	0.451139	0.108065	0.440797	0
African	Sub	11758	C=0.54822	T=0.45178	0.300902	0.204457	0.494642	0
African Others	Sub	414	C=0.498	T=0.502	0.241546	0.246377	0.512077	0
African American	Sub	11344	C=0.55007	T=0.44993	0.303068	0.202927	0.494006	0
Asian	Sub	6970	C=0.8861	T=0.1139	0.785653	0.013486	0.200861	0
East Asian	Sub	5000	C=0.8800	T=0.1200	0.774	0.014	0.212	0
Other Asian	Sub	1970	C=0.9015	T=0.0985	0.815228	0.012183	0.172589	0
Latin American 1	Sub	1278	C=0.6847	T=0.3153	0.475743	0.106416	0.41784	0
Latin American 2	Sub	9380	C=0.6832	T=0.3168	0.46951	0.103198	0.427292	0
South Asian	Sub	5236	C=0.5905	T=0.4095	0.354469	0.173415	0.472116	1
Other	Sub	16790	C=0.69833	T=0.30167	0.494937	0.098273	0.40679	6

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	351936	C=0.672097	T=0.327903
Allele Frequency Aggregator	European	Sub	300524	C=0.671537	T=0.328463
Allele Frequency Aggregator	Other	Sub	16790	C=0.69833	T=0.30167
Allele Frequency Aggregator	African	Sub	11758	C=0.54822	T=0.45178
Allele Frequency Aggregator	Latin American 2	Sub	9380	C=0.6832	T=0.3168
Allele Frequency Aggregator	Asian	Sub	6970	C=0.8861	T=0.1139
Allele Frequency Aggregator	South Asian	Sub	5236	C=0.5905	T=0.4095
Allele Frequency Aggregator	Latin American 1	Sub	1278	C=0.6847	T=0.3153
TopMed	Global	Study-wide	264690	C=0.644437	T=0.355563
gnomAD v4 - Genomes	Global	Study-wide	148904	C=0.638613	T=0.361387
gnomAD v4 - Genomes	European	Sub	78494	C=0.66566	T=0.33434
gnomAD v4 - Genomes	African	Sub	41388	C=0.55125	T=0.44875
gnomAD v4 - Genomes	American	Sub	15274	C=0.67605	T=0.32395
gnomAD v4 - Genomes	East Asian	Sub	5170	C=0.8741	T=0.1259
gnomAD v4 - Genomes	South Asian	Sub	4818	C=0.5905	T=0.4095
gnomAD v4 - Genomes	Ashkenazi Jewish	Sub	3466	C=0.6174	T=0.3826
gnomAD v4 - Genomes	Middle Eastern	sub	294	C=0.670	T=0.330
The PAGE Study	Global	Study-wide	78694	C=0.64470	T=0.35530
The PAGE Study	AfricanAmerican	Sub	32512	C=0.56287	T=0.43713
The PAGE Study	Mexican	Sub	10810	C=0.68353	T=0.31647
The PAGE Study	Asian	Sub	8318	C=0.8836	T=0.1164
The PAGE Study	PuertoRican	Sub	7916	C=0.6454	T=0.3546
The PAGE Study	NativeHawaiian	Sub	4532	C=0.7094	T=0.2906
The PAGE Study	Cuban	Sub	4230	C=0.6693	T=0.3307
The PAGE Study	Dominican	Sub	3828	C=0.6102	T=0.3898
The PAGE Study	CentralAmerican	Sub	2450	C=0.6686	T=0.3314
The PAGE Study	SouthAmerican	Sub	1982	C=0.6327	T=0.3673
The PAGE Study	NativeAmerican	Sub	1260	C=0.6532	T=0.3468
The PAGE Study	SouthAsian	Sub	856	C=0.571	T=0.429
38KJPN	JAPANESE	Study-wide	77442	C=0.88703	T=0.11297
Korean Genome Project 4K	KOREAN	Study-wide	7234	C=0.8757	T=0.1243
1000Genomes_30X	Global	Study-wide	6404	C=0.6421	T=0.3579
1000Genomes_30X	African	Sub	1786	C=0.5101	T=0.4899
1000Genomes_30X	Europe	Sub	1266	C=0.6991	T=0.3009
1000Genomes_30X	South Asian	Sub	1202	C=0.5641	T=0.4359
1000Genomes_30X	East Asian	Sub	1170	C=0.8718	T=0.1282
1000Genomes_30X	American	Sub	980	C=0.631	T=0.369
1000Genomes	Global	Study-wide	5008	C=0.6460	T=0.3540
1000Genomes	African	Sub	1322	C=0.5068	T=0.4932
1000Genomes	East Asian	Sub	1008	C=0.8700	T=0.1300
1000Genomes	Europe	Sub	1006	C=0.7018	T=0.2982
1000Genomes	South Asian	Sub	978	C=0.563	T=0.437
1000Genomes	American	Sub	694	C=0.621	T=0.379
Genetic variation in the Estonian population	Estonian	Study-wide	4480	C=0.6549	T=0.3451
The Avon Longitudinal Study of Parents and Children	PARENT AND CHILD COHORT	Study-wide	3854	C=0.6785	T=0.3215
UK 10K study - Twins	TWIN COHORT	Study-wide	3708	C=0.6872	T=0.3128
KOREAN population from KRGDB	KOREAN	Study-wide	2930	C=0.8683	T=0.1317
HapMap	Global	Study-wide	1890	C=0.6365	T=0.3635
HapMap	American	Sub	768	C=0.680	T=0.320
HapMap	African	Sub	692	C=0.490	T=0.510
HapMap	Asian	Sub	254	C=0.835	T=0.165
HapMap	Europe	Sub	176	C=0.739	T=0.261
Korean Genome Project	KOREAN	Study-wide	1832	C=0.8701	T=0.1299
CNV burdens in cranial meningiomas	Global	Study-wide	788	C=0.879	T=0.121
CNV burdens in cranial meningiomas	CRM	Sub	788	C=0.879	T=0.121
Chileans	Chilean	Study-wide	626	C=0.677	T=0.323
Northern Sweden	ACPOP	Study-wide	600	C=0.678	T=0.322
SGDP_PRJ	Global	Study-wide	252	C=0.377	T=0.623
Qatari	Global	Study-wide	216	C=0.681	T=0.319
A Vietnamese Genetic Variation Database	Global	Study-wide	216	C=0.912	T=0.088
PharmGKB Aggregated	Global	Study-wide	144	C=0.708	T=0.292
PharmGKB Aggregated	PA130445541	Sub	144	C=0.708	T=0.292
The Danish reference pan genome	Danish	Study-wide	40	C=0.68	T=0.33
Ancient Sardinia genome-wide 1240k capture data generation and analysis	Global	Study-wide	34	C=0.71	T=0.29
Siberian	Global	Study-wide	28	C=0.43	T=0.57

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 2	NC_000002.12:g.233759924C>A
GRCh38.p14 chr 2	NC_000002.12:g.233759924C>G
GRCh38.p14 chr 2	NC_000002.12:g.233759924C>T
GRCh37.p13 chr 2	NC_000002.11:g.234668570C>A
GRCh37.p13 chr 2	NC_000002.11:g.234668570C>G
GRCh37.p13 chr 2	NC_000002.11:g.234668570C>T
UGT1A RefSeqGene	NG_002601.2:g.175181C>A
UGT1A RefSeqGene	NG_002601.2:g.175181C>G
UGT1A RefSeqGene	NG_002601.2:g.175181C>T
UGT1A1 RefSeqGene (LRG_733)	NG_033238.1:g.4652C>A
UGT1A1 RefSeqGene (LRG_733)	NG_033238.1:g.4652C>G
UGT1A1 RefSeqGene (LRG_733)	NG_033238.1:g.4652C>T
LOC129660919 genomic region	NG_157956.1:g.318C>A
LOC129660919 genomic region	NG_157956.1:g.318C>G
LOC129660919 genomic region	NG_157956.1:g.318C>T

Gene: UGT1A6, UDP glucuronosyltransferase family 1 member A6 (plus strand)

Molecule type	Change	Amino acid[Codon]	SO Term
UGT1A6 transcript variant 1	NM_001072.4:c.862-7110C>A	N/A	Intron Variant
UGT1A6 transcript variant 2	NM_205862.3:c.61-7110C>A	N/A	Intron Variant

Gene: UGT1A4, UDP glucuronosyltransferase family 1 member A4 (plus strand)

Molecule type	Change	Amino acid[Codon]	SO Term
UGT1A4 transcript	NM_007120.3:c.868-7110C>A	N/A	Intron Variant

Gene: UGT1A10, UDP glucuronosyltransferase family 1 member A10 (plus strand)

Molecule type	Change	Amino acid[Codon]	SO Term
UGT1A10 transcript	NM_019075.4:c.856-7110C>A	N/A	Intron Variant

Gene: UGT1A8, UDP glucuronosyltransferase family 1 member A8 (plus strand)

Molecule type	Change	Amino acid[Codon]	SO Term
UGT1A8 transcript	NM_019076.5:c.856-7110C>A	N/A	Intron Variant

Gene: UGT1A7, UDP glucuronosyltransferase family 1 member A7 (plus strand)

Molecule type	Change	Amino acid[Codon]	SO Term
UGT1A7 transcript	NM_019077.3:c.856-7110C>A	N/A	Intron Variant

Gene: UGT1A5, UDP glucuronosyltransferase family 1 member A5 (plus strand)

Molecule type	Change	Amino acid[Codon]	SO Term
UGT1A5 transcript	NM_019078.2:c.868-7110C>A	N/A	Intron Variant

Gene: UGT1A3, UDP glucuronosyltransferase family 1 member A3 (plus strand)

Molecule type	Change	Amino acid[Codon]	SO Term
UGT1A3 transcript	NM_019093.4:c.868-7110C>A	N/A	Intron Variant

Gene: UGT1A9, UDP glucuronosyltransferase family 1 member A9 (plus strand)

Molecule type	Change	Amino acid[Codon]	SO Term
UGT1A9 transcript	NM_021027.3:c.856-7110C>A	N/A	Intron Variant

Gene: UGT1A1, UDP glucuronosyltransferase family 1 member A1 (plus strand) : 2KB Upstream Variant

Molecule type	Change	Amino acid[Codon]	SO Term
UGT1A1 transcript	NM_000463.3:c.	N/A	Upstream 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	C=	A	G	T
GRCh38.p14 chr 2	NC_000002.12:g.233759924=	NC_000002.12:g.233759924C>A	NC_000002.12:g.233759924C>G	NC_000002.12:g.233759924C>T
GRCh37.p13 chr 2	NC_000002.11:g.234668570=	NC_000002.11:g.234668570C>A	NC_000002.11:g.234668570C>G	NC_000002.11:g.234668570C>T
UGT1A RefSeqGene	NG_002601.2:g.175181=	NG_002601.2:g.175181C>A	NG_002601.2:g.175181C>G	NG_002601.2:g.175181C>T
UGT1A1 RefSeqGene (LRG_733)	NG_033238.1:g.4652=	NG_033238.1:g.4652C>A	NG_033238.1:g.4652C>G	NG_033238.1:g.4652C>T
LOC129660919 genomic region	NG_157956.1:g.318=	NG_157956.1:g.318C>A	NG_157956.1:g.318C>G	NG_157956.1:g.318C>T
UGT1A6 transcript variant 1	NM_001072.3:c.862-7110=	NM_001072.3:c.862-7110C>A	NM_001072.3:c.862-7110C>G	NM_001072.3:c.862-7110C>T
UGT1A6 transcript variant 1	NM_001072.4:c.862-7110=	NM_001072.4:c.862-7110C>A	NM_001072.4:c.862-7110C>G	NM_001072.4:c.862-7110C>T
UGT1A4 transcript	NM_007120.2:c.868-7110=	NM_007120.2:c.868-7110C>A	NM_007120.2:c.868-7110C>G	NM_007120.2:c.868-7110C>T
UGT1A4 transcript	NM_007120.3:c.868-7110=	NM_007120.3:c.868-7110C>A	NM_007120.3:c.868-7110C>G	NM_007120.3:c.868-7110C>T
UGT1A10 transcript	NM_019075.2:c.856-7110=	NM_019075.2:c.856-7110C>A	NM_019075.2:c.856-7110C>G	NM_019075.2:c.856-7110C>T
UGT1A10 transcript	NM_019075.4:c.856-7110=	NM_019075.4:c.856-7110C>A	NM_019075.4:c.856-7110C>G	NM_019075.4:c.856-7110C>T
UGT1A8 transcript	NM_019076.4:c.856-7110=	NM_019076.4:c.856-7110C>A	NM_019076.4:c.856-7110C>G	NM_019076.4:c.856-7110C>T
UGT1A8 transcript	NM_019076.5:c.856-7110=	NM_019076.5:c.856-7110C>A	NM_019076.5:c.856-7110C>G	NM_019076.5:c.856-7110C>T
UGT1A7 transcript	NM_019077.2:c.856-7110=	NM_019077.2:c.856-7110C>A	NM_019077.2:c.856-7110C>G	NM_019077.2:c.856-7110C>T
UGT1A7 transcript	NM_019077.3:c.856-7110=	NM_019077.3:c.856-7110C>A	NM_019077.3:c.856-7110C>G	NM_019077.3:c.856-7110C>T
UGT1A5 transcript	NM_019078.1:c.868-7110=	NM_019078.1:c.868-7110C>A	NM_019078.1:c.868-7110C>G	NM_019078.1:c.868-7110C>T
UGT1A5 transcript	NM_019078.2:c.868-7110=	NM_019078.2:c.868-7110C>A	NM_019078.2:c.868-7110C>G	NM_019078.2:c.868-7110C>T
UGT1A3 transcript	NM_019093.2:c.868-7110=	NM_019093.2:c.868-7110C>A	NM_019093.2:c.868-7110C>G	NM_019093.2:c.868-7110C>T
UGT1A3 transcript	NM_019093.4:c.868-7110=	NM_019093.4:c.868-7110C>A	NM_019093.4:c.868-7110C>G	NM_019093.4:c.868-7110C>T
UGT1A9 transcript	NM_021027.2:c.856-7110=	NM_021027.2:c.856-7110C>A	NM_021027.2:c.856-7110C>G	NM_021027.2:c.856-7110C>T
UGT1A9 transcript	NM_021027.3:c.856-7110=	NM_021027.3:c.856-7110C>A	NM_021027.3:c.856-7110C>G	NM_021027.3:c.856-7110C>T
UGT1A6 transcript variant 2	NM_205862.1:c.61-7110=	NM_205862.1:c.61-7110C>A	NM_205862.1:c.61-7110C>G	NM_205862.1:c.61-7110C>T
UGT1A6 transcript variant 2	NM_205862.3:c.61-7110=	NM_205862.3:c.61-7110C>A	NM_205862.3:c.61-7110C>G	NM_205862.3:c.61-7110C>T

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#.

156 SubSNP, 24 Frequency submissions

No	Submitter	Submission ID	Date (Build)
1	TSC-CSHL	ss1315995	Oct 05, 2000 (86)
2	TSC-CSHL	ss5169686	Oct 08, 2002 (108)
3	WUGSC_SSAHASNP	ss14494210	Dec 05, 2003 (119)
4	CSHL-HAPMAP	ss17659924	Feb 27, 2004 (120)
5	SSAHASNP	ss21574509	Apr 05, 2004 (123)
6	ABI	ss44259633	Mar 13, 2006 (126)
7	EGP_SNPS	ss50393212	Mar 14, 2006 (126)
8	STEJUSTINE-REGGEN	ss51854787	Mar 16, 2006 (126)
9	AFFY	ss66331626	Nov 30, 2006 (127)
10	PHARMGKB_PAAR-UCHI	ss69369239	May 17, 2007 (127)
11	ILLUMINA	ss75086159	Dec 06, 2007 (129)
12	AFFY	ss76028792	Dec 06, 2007 (129)
13	HGSV	ss78444692	Dec 06, 2007 (129)
14	KRIBB_YJKIM	ss81442937	Dec 16, 2007 (130)
15	HUMANGENOME_JCVI	ss97132036	Feb 04, 2009 (130)
16	1000GENOMES	ss110965202	Jan 25, 2009 (130)
17	1000GENOMES	ss111825012	Jan 25, 2009 (130)
18	ILLUMINA-UK	ss118123012	Feb 14, 2009 (130)
19	ENSEMBL	ss132931186	Dec 01, 2009 (131)
20	ILLUMINA	ss154477894	Dec 01, 2009 (131)
21	ILLUMINA	ss159652323	Dec 01, 2009 (131)
22	ILLUMINA	ss160963094	Dec 01, 2009 (131)
23	AFFY	ss170602199	Jul 04, 2010 (132)
24	ILLUMINA	ss174767711	Jul 04, 2010 (132)
25	BUSHMAN	ss201895631	Jul 04, 2010 (132)
26	BCM-HGSC-SUB	ss205632455	Jul 04, 2010 (132)
27	1000GENOMES	ss219881097	Jul 14, 2010 (132)
28	1000GENOMES	ss231635572	Jul 14, 2010 (132)
29	1000GENOMES	ss239083133	Jul 15, 2010 (132)
30	GMI	ss276944164	May 04, 2012 (137)
31	PJP	ss292510946	May 09, 2011 (134)
32	ILLUMINA	ss410955790	Sep 17, 2011 (135)
33	ILLUMINA	ss481826310	May 04, 2012 (137)
34	ILLUMINA	ss481858816	May 04, 2012 (137)
35	ILLUMINA	ss482818061	Sep 08, 2015 (146)
36	ILLUMINA	ss485707682	May 04, 2012 (137)
37	EXOME_CHIP	ss491333410	May 04, 2012 (137)
38	ILLUMINA	ss537571115	Sep 08, 2015 (146)
39	SSMP	ss649966236	Apr 25, 2013 (138)
40	ILLUMINA	ss779002278	Sep 08, 2015 (146)
41	ILLUMINA	ss780687159	Sep 08, 2015 (146)
42	ILLUMINA	ss783299449	Sep 08, 2015 (146)
43	ILLUMINA	ss783360702	Sep 08, 2015 (146)
44	ILLUMINA	ss784251789	Sep 08, 2015 (146)
45	ILLUMINA	ss832560786	Sep 08, 2015 (146)
46	ILLUMINA	ss833163131	Jul 13, 2019 (153)
47	ILLUMINA	ss834464654	Sep 08, 2015 (146)
48	EVA-GONL	ss978088575	Aug 21, 2014 (142)
49	JMKIDD_LAB	ss1070036231	Aug 21, 2014 (142)
50	1000GENOMES	ss1302134496	Aug 21, 2014 (142)
51	DDI	ss1428950089	Apr 01, 2015 (144)
52	EVA_GENOME_DK	ss1579373554	Apr 01, 2015 (144)
53	EVA_DECODE	ss1587548679	Apr 01, 2015 (144)
54	EVA_UK10K_ALSPAC	ss1606057639	Apr 01, 2015 (144)
55	EVA_UK10K_TWINSUK	ss1649051672	Apr 01, 2015 (144)
56	EVA_SVP	ss1712539934	Apr 01, 2015 (144)
57	ILLUMINA	ss1752345218	Sep 08, 2015 (146)
58	ILLUMINA	ss1752345219	Sep 08, 2015 (146)
59	HAMMER_LAB	ss1798566758	Sep 08, 2015 (146)
60	ILLUMINA	ss1917761544	Feb 12, 2016 (147)
61	WEILL_CORNELL_DGM	ss1921336161	Feb 12, 2016 (147)
62	ILLUMINA	ss1946070030	Feb 12, 2016 (147)
63	ILLUMINA	ss1958518576	Feb 12, 2016 (147)
64	JJLAB	ss2021216395	Sep 14, 2016 (149)
65	ILLUMINA	ss2094809166	Dec 20, 2016 (150)
66	ILLUMINA	ss2095111600	Dec 20, 2016 (150)
67	USC_VALOUEV	ss2149282513	Dec 20, 2016 (150)
68	HUMAN_LONGEVITY	ss2240160658	Dec 20, 2016 (150)
69	SYSTEMSBIOZJU	ss2625108462	Nov 08, 2017 (151)
70	ILLUMINA	ss2633755412	Nov 08, 2017 (151)
71	ILLUMINA	ss2633755413	Nov 08, 2017 (151)
72	GRF	ss2703935215	Nov 08, 2017 (151)
73	ILLUMINA	ss2710928943	Nov 08, 2017 (151)
74	ILLUMINA	ss2710928944	Nov 08, 2017 (151)
75	GNOMAD	ss2787712026	Nov 08, 2017 (151)
76	AFFY	ss2985203948	Nov 08, 2017 (151)
77	AFFY	ss2985825270	Nov 08, 2017 (151)
78	SWEGEN	ss2991558423	Nov 08, 2017 (151)
79	ILLUMINA	ss3022083116	Nov 08, 2017 (151)
80	BIOINF_KMB_FNS_UNIBA	ss3024368349	Nov 08, 2017 (151)
81	CSHL	ss3344798535	Nov 08, 2017 (151)
82	ILLUMINA	ss3628314198	Oct 11, 2018 (152)
83	ILLUMINA	ss3628314199	Oct 11, 2018 (152)
84	ILLUMINA	ss3631714589	Oct 11, 2018 (152)
85	ILLUMINA	ss3633951936	Oct 11, 2018 (152)
86	ILLUMINA	ss3634818215	Oct 11, 2018 (152)
87	ILLUMINA	ss3634818216	Oct 11, 2018 (152)
88	ILLUMINA	ss3635637289	Oct 11, 2018 (152)
89	ILLUMINA	ss3636508286	Oct 11, 2018 (152)
90	ILLUMINA	ss3637389324	Oct 11, 2018 (152)
91	ILLUMINA	ss3638325646	Oct 11, 2018 (152)
92	ILLUMINA	ss3640525514	Oct 11, 2018 (152)
93	ILLUMINA	ss3640525515	Oct 11, 2018 (152)
94	ILLUMINA	ss3641122392	Oct 11, 2018 (152)
95	ILLUMINA	ss3641418537	Oct 11, 2018 (152)
96	ILLUMINA	ss3643289839	Oct 11, 2018 (152)
97	ILLUMINA	ss3644772734	Oct 11, 2018 (152)
98	URBANLAB	ss3647302824	Oct 11, 2018 (152)
99	ILLUMINA	ss3652535920	Oct 11, 2018 (152)
100	ILLUMINA	ss3652535921	Oct 11, 2018 (152)
101	ILLUMINA	ss3653971967	Oct 11, 2018 (152)
102	EGCUT_WGS	ss3659455948	Jul 13, 2019 (153)
103	EVA_DECODE	ss3706266231	Jul 13, 2019 (153)
104	ILLUMINA	ss3725884821	Jul 13, 2019 (153)
105	ACPOP	ss3729481016	Jul 13, 2019 (153)
106	ILLUMINA	ss3744488886	Jul 13, 2019 (153)
107	ILLUMINA	ss3745118104	Jul 13, 2019 (153)
108	ILLUMINA	ss3745118105	Jul 13, 2019 (153)
109	EVA	ss3758234696	Jul 13, 2019 (153)
110	PAGE_CC	ss3770996297	Jul 13, 2019 (153)
111	ILLUMINA	ss3772614479	Jul 13, 2019 (153)
112	ILLUMINA	ss3772614480	Jul 13, 2019 (153)
113	KHV_HUMAN_GENOMES	ss3802597182	Jul 13, 2019 (153)
114	EVA	ss3827569841	Apr 25, 2020 (154)
115	EVA	ss3837205320	Apr 25, 2020 (154)
116	EVA	ss3842627995	Apr 25, 2020 (154)
117	SGDP_PRJ	ss3854854074	Apr 25, 2020 (154)
118	KRGDB	ss3900603208	Apr 25, 2020 (154)
119	KOGIC	ss3950335494	Apr 25, 2020 (154)
120	EVA	ss3984499944	Apr 26, 2021 (155)
121	EVA	ss3984961493	Apr 26, 2021 (155)
122	EVA	ss4017055751	Apr 26, 2021 (155)
123	TOPMED	ss4548833302	Apr 26, 2021 (155)
124	TOMMO_GENOMICS	ss6019041114	Oct 30, 2024 (157)
125	EVA	ss6289038307	Oct 30, 2024 (157)
126	EVA	ss6321885007	Oct 30, 2024 (157)
127	EVA	ss6322167472	Oct 30, 2024 (157)
128	EVA	ss6323673394	Oct 30, 2024 (157)
129	EVA	ss6329932039	Oct 30, 2024 (157)
130	YEGNASUBRAMANIAN_LAB	ss6336182597	Oct 30, 2024 (157)
131	EVA	ss6349546496	Oct 30, 2024 (157)
132	EVA	ss6349997699	Oct 30, 2024 (157)
133	KOGIC	ss6358689863	Oct 30, 2024 (157)
134	GNOMAD	ss6574549840	Oct 30, 2024 (157)
135	TOMMO_GENOMICS	ss8157056096	Oct 30, 2024 (157)
136	1000G_HIGH_COVERAGE	ss8252463046	Oct 30, 2024 (157)
137	EVA	ss8314817565	Oct 30, 2024 (157)
138	HUGCELL_USP	ss8452030957	Oct 30, 2024 (157)
139	EVA	ss8506837146	Oct 30, 2024 (157)
140	1000G_HIGH_COVERAGE	ss8530019275	Oct 30, 2024 (157)
141	SANFORD_IMAGENETICS	ss8624475465	Oct 30, 2024 (157)
142	SANFORD_IMAGENETICS	ss8631198234	Oct 30, 2024 (157)
143	TOMMO_GENOMICS	ss8688107864	Oct 30, 2024 (157)
144	EVA	ss8799401927	Oct 30, 2024 (157)
145	EVA	ss8799563827	Oct 30, 2024 (157)
146	YY_MCH	ss8803328105	Oct 30, 2024 (157)
147	EVA	ss8821760177	Oct 30, 2024 (157)
148	EVA	ss8847207755	Oct 30, 2024 (157)
149	EVA	ss8847907898	Oct 30, 2024 (157)
150	EVA	ss8853001639	Oct 30, 2024 (157)
151	EVA	ss8935201195	Oct 30, 2024 (157)
152	EVA	ss8957463878	Oct 30, 2024 (157)
153	EVA	ss8979604197	Oct 30, 2024 (157)
154	EVA	ss8981875239	Oct 30, 2024 (157)
155	EVA	ss8981875240	Oct 30, 2024 (157)
156	EVA	ss8982417359	Oct 30, 2024 (157)
157	1000Genomes	NC_000002.11 - 234668570	Oct 11, 2018 (152)
158	1000Genomes_30X	NC_000002.12 - 233759924	Oct 30, 2024 (157)
159	The Avon Longitudinal Study of Parents and Children	NC_000002.11 - 234668570	Oct 11, 2018 (152)
160	Chileans	NC_000002.11 - 234668570	Apr 25, 2020 (154)
161	Genetic variation in the Estonian population	NC_000002.11 - 234668570	Oct 11, 2018 (152)
162	The Danish reference pan genome	NC_000002.11 - 234668570	Apr 25, 2020 (154)
163	gnomAD v4 - Genomes	NC_000002.12 - 233759924	Oct 30, 2024 (157)
164	HapMap	NC_000002.12 - 233759924	Apr 25, 2020 (154)
165	KOREAN population from KRGDB	NC_000002.11 - 234668570	Apr 25, 2020 (154)
166	Korean Genome Project	NC_000002.12 - 233759924	Apr 25, 2020 (154)
167	Korean Genome Project 4K	NC_000002.12 - 233759924	Oct 30, 2024 (157)
168	Northern Sweden	NC_000002.11 - 234668570	Jul 13, 2019 (153)
169	The PAGE Study	NC_000002.12 - 233759924	Jul 13, 2019 (153)
170	Ancient Sardinia genome-wide 1240k capture data generation and analysis	NC_000002.11 - 234668570	Apr 26, 2021 (155)
171	CNV burdens in cranial meningiomas	NC_000002.11 - 234668570	Apr 26, 2021 (155)
172	PharmGKB Aggregated	NC_000002.12 - 233759924	Apr 25, 2020 (154)
173	Qatari	NC_000002.11 - 234668570	Apr 25, 2020 (154)
174	SGDP_PRJ	NC_000002.11 - 234668570	Apr 25, 2020 (154)
175	Siberian	NC_000002.11 - 234668570	Apr 25, 2020 (154)
176	38KJPN	NC_000002.12 - 233759924	Oct 30, 2024 (157)
177	TopMed	NC_000002.12 - 233759924	Apr 26, 2021 (155)
178	UK 10K study - Twins	NC_000002.11 - 234668570	Oct 11, 2018 (152)
179	A Vietnamese Genetic Variation Database	NC_000002.11 - 234668570	Jul 13, 2019 (153)
180	ALFA	NC_000002.12 - 233759924	Oct 30, 2024 (157)

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)
rs12990609	Sep 24, 2004 (123)
rs34790730	May 23, 2006 (127)
rs36207722	Oct 25, 2006 (127)
rs61315639	Feb 26, 2009 (130)
rs386619532	Aug 21, 2014 (142)

Added to this RefSNP Cluster:

Submission IDs	Observation SPDI	Canonical SPDI	Source RSIDs
ss6349546496	NC_000002.11:234668569:C:A	NC_000002.12:233759923:C:A
ss6349546496	NC_000002.11:234668569:C:G	NC_000002.12:233759923:C:G
ss78444692	NC_000002.9:234450569:C:T	NC_000002.12:233759923:C:T	(self)
ss110965202, ss111825012, ss118123012, ss201895631, ss205632455, ss276944164, ss292510946, ss481826310, ss1587548679, ss1712539934, ss3643289839	NC_000002.10:234333308:C:T	NC_000002.12:233759923:C:T	(self)
13257636, 7342913, 245939, 5194196, 5538493, 7780602, 2765881, 187420, 49284, 3378091, 6871054, 1798867, 7342913, 1594072, ss219881097, ss231635572, ss239083133, ss481858816, ss482818061, ss485707682, ss491333410, ss537571115, ss649966236, ss779002278, ss780687159, ss783299449, ss783360702, ss784251789, ss832560786, ss833163131, ss834464654, ss978088575, ss1070036231, ss1302134496, ss1428950089, ss1579373554, ss1606057639, ss1649051672, ss1752345218, ss1752345219, ss1798566758, ss1917761544, ss1921336161, ss1946070030, ss1958518576, ss2021216395, ss2094809166, ss2095111600, ss2149282513, ss2625108462, ss2633755412, ss2633755413, ss2703935215, ss2710928943, ss2710928944, ss2787712026, ss2985203948, ss2985825270, ss2991558423, ss3022083116, ss3344798535, ss3628314198, ss3628314199, ss3631714589, ss3633951936, ss3634818215, ss3634818216, ss3635637289, ss3636508286, ss3637389324, ss3638325646, ss3640525514, ss3640525515, ss3641122392, ss3641418537, ss3644772734, ss3652535920, ss3652535921, ss3653971967, ss3659455948, ss3729481016, ss3744488886, ss3745118104, ss3745118105, ss3758234696, ss3772614479, ss3772614480, ss3827569841, ss3837205320, ss3854854074, ss3900603208, ss3984499944, ss3984961493, ss4017055751, ss6289038307, ss6322167472, ss6323673394, ss6329932039, ss6336182597, ss8157056096, ss8314817565, ss8506837146, ss8624475465, ss8631198234, ss8799401927, ss8799563827, ss8821760177, ss8847207755, ss8847907898, ss8957463878, ss8979604197, ss8981875239, ss8981875240, ss8982417359	NC_000002.11:234668569:C:T	NC_000002.12:233759923:C:T	(self)
17545210, 101028869, 2035235, 6713495, 8541761, 217766, 6976, 36416934, 352656181, 6739257510, ss2240160658, ss3024368349, ss3647302824, ss3706266231, ss3725884821, ss3770996297, ss3802597182, ss3842627995, ss3950335494, ss4548833302, ss6019041114, ss6321885007, ss6349997699, ss6358689863, ss6574549840, ss8252463046, ss8452030957, ss8530019275, ss8688107864, ss8803328105, ss8853001639, ss8935201195	NC_000002.12:233759923:C:T	NC_000002.12:233759923:C:T	(self)
ss14494210, ss17659924, ss21574509	NT_005120.14:599103:C:T	NC_000002.12:233759923:C:T	(self)
ss1315995, ss5169686, ss44259633, ss50393212, ss51854787, ss66331626, ss69369239, ss75086159, ss76028792, ss81442937, ss97132036, ss132931186, ss154477894, ss159652323, ss160963094, ss170602199, ss174767711, ss410955790	NT_005120.16:614828:C:T	NC_000002.12:233759923:C:T	(self)

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

69 citations for rs887829

PMID	Title	Author	Year	Journal
17424838	[Genetic polymorphisms of MPO, NQO1, GSTP1, UGT1A6 associated with susceptibility of chronic benzene poisoning].	Sun P et al.	2007	Wei sheng yan jiu = Journal of hygiene research
18349273	UGT1A1 genetic polymorphisms, endogenous estrogen exposure, soy food intake, and endometrial cancer risk.	Deming SL et al.	2008	Cancer epidemiology, biomarkers & prevention
19238116	Common variants of four bilirubin metabolism genes and their association with serum bilirubin and coronary artery disease in Chinese Han population.	Lin R et al.	2009	Pharmacogenetics and genomics
19267064	[Relationship between genetic polymorphisms of phase I and phase II metabolizing enzymes and DNA damage of workers exposed to vinyl chloride monomer].	Ji F et al.	2009	Wei sheng yan jiu = Journal of hygiene research
19414484	Genome-wide association meta-analysis for total serum bilirubin levels.	Johnson AD et al.	2009	Human molecular genetics
19419973	Common variants in the SLCO1B3 locus are associated with bilirubin levels and unconjugated hyperbilirubinemia.	Sanna S et al.	2009	Human molecular genetics
19482841	Serum bilirubin levels on ICU admission are associated with ARDS development and mortality in sepsis.	Zhai R et al.	2009	Thorax
19721433	Genome-wide pharmacogenomic analysis of response to treatment with antipsychotics.	McClay JL et al.	2011	Molecular psychiatry
20639394	Genome-wide association of serum bilirubin levels in Korean population.	Kang TW et al.	2010	Human molecular genetics
21309756	Prevalence of clinically relevant UGT1A alleles and haplotypes in African populations.	Horsfall LJ et al.	2011	Annals of human genetics
21712189	Analysis of pharmacogenetic traits in two distinct South African populations.	Ikediobi O et al.	2011	Human genomics
21886157	Human metabolic individuality in biomedical and pharmaceutical research.	Suhre K et al.	2011	Nature
22085899	UGT1A1 is a major locus influencing bilirubin levels in African Americans.	Chen G et al.	2012	European journal of human genetics
22228101	Mapping of the UGT1A locus identifies an uncommon coding variant that affects mRNA expression and protects from bladder cancer.	Tang W et al.	2012	Human molecular genetics
22511988	A genome-wide association study identifies UGT1A1 as a regulator of serum cell-free DNA in young adults: The Cardiovascular Risk in Young Finns Study.	Jylhävä J et al.	2012	PloS one
22558097	A genome-wide association study of total bilirubin and cholelithiasis risk in sickle cell anemia.	Milton JN et al.	2012	PloS one
22888291	Genetic variants and haplotypes of the UGT1A9, 1A7 and 1A1 genes in Chinese Han.	Zhang X et al.	2012	Genetics and molecular biology
22992668	Pharmacogenomics knowledge for personalized medicine.	Whirl-Carrillo M et al.	2012	Clinical pharmacology and therapeutics
23092954	SHAVE: shrinkage estimator measured for multiple visits increases power in GWAS of quantitative traits.	Meirelles OD et al.	2013	European journal of human genetics
23642732	Association of SNPs in the UGT1A gene cluster with total bilirubin and mortality in the Diabetes Heart Study.	Cox AJ et al.	2013	Atherosclerosis
24270849	Systematic comparison of phenome-wide association study of electronic medical record data and genome-wide association study data.	Denny JC et al.	2013	Nature biotechnology
24532860	Case-Control Genome-wide Joint Association Study Using Semiparametric Empirical Model and Approximate Bayes Factor.	Xu J et al.	2013	Journal of statistical computation and simulation
24557078	Genomewide association study of atazanavir pharmacokinetics and hyperbilirubinemia in AIDS Clinical Trials Group protocol A5202.	Johnson DH et al.	2014	Pharmacogenetics and genomics
24625756	Genetic determinants influencing human serum metabolome among African Americans.	Yu B et al.	2014	PLoS genetics
24944790	Screening for 392 polymorphisms in 141 pharmacogenes.	Kim JY et al.	2014	Biomedical reports
25110414	Pharmacogenetics research on chemotherapy resistance in colorectal cancer over the last 20 years.	Panczyk M et al.	2014	World journal of gastroenterology
25262300	Quantitative trait analysis of polymorphisms in two bilirubin metabolism enzymes to physiologic bilirubin levels in Chinese newborns.	Zhou Y et al.	2014	The Journal of pediatrics
25348619	Influence of single-nucleotide polymorphisms on deferasirox C trough levels and effectiveness.	Cusato J et al.	2015	The pharmacogenomics journal
25478904	Functional Study of Haplotypes in UGT1A1 Promoter to Find a Novel Genetic Variant Leading to Reduced Gene Expression.	Shin HJ et al.	2015	Therapeutic drug monitoring
25884002	Phenome-wide Association Study Relating Pretreatment Laboratory Parameters With Human Genetic Variants in AIDS Clinical Trials Group Protocols.	Moore CB et al.	2015	Open forum infectious diseases
26039129	Exome-Wide Association Study Identifies New Low-Frequency and Rare UGT1A1 Coding Variants and UGT1A6 Coding Variants Influencing Serum Bilirubin in Elderly Subjects: A Strobe Compliant Article.	Oussalah A et al.	2015	Medicine
26180834	Screening for UGT1A1 Genotype in Study A5257 Would Have Markedly Reduced Premature Discontinuation of Atazanavir for Hyperbilirubinemia.	Vardhanabhuti S et al.	2015	Open forum infectious diseases
26223945	Influence of UDP-Glucuronosyltransferase Polymorphisms on Stable Warfarin Doses in Patients with Mechanical Cardiac Valves.	An SH et al.	2015	Cardiovascular therapeutics
26413716	A GWAS Study on Liver Function Test Using eMERGE Network Participants.	Namjou B et al.	2015	PloS one
26417955	Clinical Pharmacogenetics Implementation Consortium (CPIC) Guideline for UGT1A1 and Atazanavir Prescribing.	Gammal RS et al.	2016	Clinical pharmacology and therapeutics
26628212	Serum bilirubin concentration is modified by UGT1A1 haplotypes and influences risk of type-2 diabetes in the Norfolk Island genetic isolate.	Benton MC et al.	2015	BMC genetics
27043265	Role of pharmacogenetics on deferasirox AUC and efficacy.	Cusato J et al.	2016	Pharmacogenomics
27110117	Clinically relevant genetic variants of drug-metabolizing enzyme and transporter genes detected in Thai children and adolescents with autism spectrum disorder.	Medhasi S et al.	2016	Neuropsychiatric disease and treatment
28346059	Deferasirox pharmacogenetic influence on pharmacokinetic, efficacy and toxicity in a cohort of pediatric patients.	Allegra S et al.	2017	Pharmacogenomics
28550460	The impact of non-genetic and genetic factors on a stable warfarin dose in Thai patients.	Wattanachai N et al.	2017	European journal of clinical pharmacology
28746172	A genetic variant in the catechol-O-methyl transferase (COMT) gene is related to age-dependent differences in the therapeutic effect of calcium-channel blockers.	Xu J et al.	2017	Medicine
29117017	Race/ethnicity difference in the pharmacogenetics of bilirubin-related atazanavir discontinuation.	Leger P et al.	2018	Pharmacogenetics and genomics
29193749	Clinical Implementation of Pharmacogenetic Testing in a Hospital of the Spanish National Health System: Strategy and Experience Over 3 Years.	Borobia AM et al.	2018	Clinical and translational science
30093869	Biological Predictors of Clozapine Response: A Systematic Review.	Samanaite R et al.	2018	Frontiers in psychiatry
30421550	Prolonged central apnoea after intravenous morphine administration in a 12-year-old male with a UGT1A1 loss-of-function polymorphism.	Toce MS et al.	2019	British journal of clinical pharmacology
30621171	Genome-Wide Association Study (GWAS) on Bilirubin Concentrations in Subjects with Metabolic Syndrome: Sex-Specific GWAS Analysis and Gene-Diet Interactions in a Mediterranean Population.	Coltell O et al.	2019	Nutrients
31019283	Secondary actionable findings identified by exome sequencing: expected impact on the organisation of care from the study of 700 consecutive tests.	Thauvin-Robinet C et al.	2019	European journal of human genetics
32128760	A Genome-wide Association Study of Circulating Levels of Atorvastatin and Its Major Metabolites.	Turner RM et al.	2020	Clinical pharmacology and therapeutics
32855344	Genetically raised serum bilirubin levels and lung cancer: a cohort study and Mendelian randomisation using UK Biobank.	Horsfall LJ et al.	2020	Thorax
32930952	Effect of Genetic Polymorphisms on the Pharmacokinetics of Deferasirox in Healthy Chinese Subjects and an Artificial Neural Networks Model for Pharmacokinetic Prediction.	Chen J et al.	2020	European journal of drug metabolism and pharmacokinetics
32936528	Important Pharmacogenetic Information for Drugs Prescribed During the SARS-CoV-2 Infection (COVID-19).	Zubiaur P et al.	2020	Clinical and translational science
33110249	Population impact of pharmacogenetic tests in admixed populations across the Americas.	Suarez-Kurtz G et al.	2021	The pharmacogenomics journal
33278020	Metabolic Effects of Aripiprazole and Olanzapine Multiple-Dose Treatment in a Randomised Crossover Clinical Trial in Healthy Volunteers: Association with Pharmacogenetics.	Koller D et al.	2021	Advances in therapy
33519226	Genetic Diversity of Drug-Related Genes in Native Americans of the Brazilian Amazon.	Fernandes MR et al.	2021	Pharmacogenomics and personalized medicine
33779967	Pharmacokinetics of Eltrombopag in Healthy Chinese Subjects and Effect of Sex and Genetic Polymorphism on its Pharmacokinetic and Pharmacodynamic Variability.	Chen J et al.	2021	European journal of drug metabolism and pharmacokinetics
33805706	SLCO1B1 Phenotype and CYP3A5 Polymorphism Significantly Affect Atorvastatin Bioavailability.	Zubiaur P et al.	2021	Journal of personalized medicine
33995083	Dexketoprofen Pharmacokinetics is not Significantly Altered by Genetic Polymorphism.	Mejía-Abril G et al.	2021	Frontiers in pharmacology
34093191	Pharmacogenetic Associations Between Atazanavir/UGT1A1*28 and Efavirenz/rs3745274 (CYP2B6) Account for Specific Adverse Reactions in Chilean Patients Undergoing Antiretroviral Therapy.	Poblete D et al.	2021	Frontiers in pharmacology
34117260	A UGT1A1 variant is associated with serum total bilirubin levels, which are causal for hypertension in African-ancestry individuals.	Chen G et al.	2021	NPJ genomic medicine
34621706	Comprehensive analysis of important pharmacogenes in Koreans using the DMET™ platform.	Kim B et al.	2021	Translational and clinical pharmacology
34690761	Effects of Cytochrome P450 and Transporter Polymorphisms on the Bioavailability and Safety of Dutasteride and Tamsulosin.	Villapalos-García G et al.	2021	Frontiers in pharmacology
34703007	Integration of DNA sequencing with population pharmacokinetics to improve the prediction of irinotecan exposure in cancer patients.	Karas S et al.	2022	British journal of cancer
34852805	Ensemble learning for the early prediction of neonatal jaundice with genetic features.	Deng H et al.	2021	BMC medical informatics and decision making
35326157	Genetic Variations on Redox Control in Cardiometabolic Diseases: The Role of Nrf2.	Zazueta C et al.	2022	Antioxidants (Basel, Switzerland)
35646073	SLC4A4, FRAS1, and SULT1A1 Genetic Variations Associated With Dabigatran Metabolism in a Healthy Chinese Population.	Xie Q et al.	2022	Frontiers in genetics
35745658	Will the Use of Pharmacogenetics Improve Treatment Efficiency in COVID-19?	Franczyk B et al.	2022	Pharmaceuticals (Basel, Switzerland)
35866816	Impact of VKORC1, CYP2C9, CYP1A2, UGT1A1, and GGCX polymorphisms on warfarin maintenance dose: Exploring a new algorithm in South Chinese patients accept mechanical heart valve replacement.	Li J et al.	2022	Medicine
36032496	Association of MTHFR gene polymorphism C677T (rs1801133) studies with early primary knee osteoarthritis in a South Indian population: a hospital-based study.	Poornima S et al.	2022	African health sciences
36065758	CYP2C83 and 4 define CYP2C8 phenotype: An approach with the substrate cinitapride.	Campodónico DM et al.	2022	Clinical and translational science

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).
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dbSNP Short Genetic Variations

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Reference SNP (rs) Report

rs887829