GeneSet Information

Tier I GS270431 • GWAS Catalog Data for response to anticoagulant in 181 European ancestry individuals

DESCRIPTION:

List of positional candidate genes after correcting for multiple testing and controlling the false discovery rate from genome wide association studies (GWAS) retrieved from the NHGRI-EBI Catalog of published genome-wide association studies (http://www.ebi.ac.uk/gwas/). The disease/trait examined in this study, as reported by the authors, was Warfarin maintenance dose. The EFO term response to anticoagulant was annotated to this set after curation by NHGRI-EBI. Intergenic SNPS were mapped to both the upstream and downstream gene. P-value uploaded. This gene set was generated using gwas2gs v. 0.1.8 and the GWAS Catalog v. 1.0.1.

LABEL:

GWAS: response to anticoagulant

SCORE TYPE:

P-Value

DATE ADDED:

2017-05-02

DATE UPDATED:

2024-04-25

SPECIES:

AUTHORS:

GM Cooper, JA Johnson, TY Langaee, H Feng, IB Stanaway, UI Schwarz, MD Ritchie, CM Stein, DM Roden, JD Smith, DL Veenstra, AE Rettie, MJ Rieder

TITLE:

A genome-wide scan for common genetic variants with a large influence on warfarin maintenance dose.

JOURNAL:

Blood Aug 2008, Vol 112, pp. 1022-7

ABSTRACT:

Warfarin dosing is correlated with polymorphisms in vitamin K epoxide reductase complex 1 (VKORC1) and the cytochrome P450 2C9 (CYP2C9) genes. Recently, the FDA revised warfarin labeling to raise physician awareness about these genetic effects. Randomized clinical trials are underway to test genetically based dosing algorithms. It is thus important to determine whether common single nucleotide polymorphisms (SNPs) in other gene(s) have a large effect on warfarin dosing. A retrospective genome-wide association study was designed to identify polymorphisms that could explain a large fraction of the dose variance. White patients from an index warfarin population (n = 181) and 2 independent replication patient populations (n = 374) were studied. From the approximately 550 000 polymorphisms tested, the most significant independent effect was associated with VKORC1 polymorphisms (P = 6.2 x 10(-13)) in the index patients. CYP2C9 (rs1057910 CYP2C9*3) and rs4917639) was associated with dose at moderate significance levels (P approximately 10(-4)). Replication polymorphisms (355 SNPs) from the index study did not show any significant effects in the replication patient sets. We conclude that common SNPs with large effects on warfarin dose are unlikely to be discovered outside of the CYP2C9 and VKORC1 genes. Randomized clinical trials that account for these 2 genes should therefore produce results that are definitive and broadly applicable. PUBMED: 18535201
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