Genetic association between intronic variants in AS3MT and arsenic methylation efficiency is focused on a large linkage disequilibrium cluster in chromosome 10

Gomez-Rubio, P; Meza-Montenegro, MM; Cantu-Soto, E; Klimecki, WT

HERO ID

710938

Reference Type

Journal Article

Year

2010

Language

English

PMID

20014157

HERO ID 710938
In Press No
Year 2010
Title Genetic association between intronic variants in AS3MT and arsenic methylation efficiency is focused on a large linkage disequilibrium cluster in chromosome 10
Authors Gomez-Rubio, P; Meza-Montenegro, MM; Cantu-Soto, E; Klimecki, WT
Journal Journal of Applied Toxicology
Volume 30
Issue 3
Page Numbers 260-270
Abstract Differences in arsenic metabolism are known to play a role in individual variability in arsenic-induced disease susceptibility. Genetic variants in genes relevant to arsenic metabolism are considered to be partially responsible for the variation in arsenic metabolism. Specifically, variants in arsenic (3+ oxidation state) methyltransferase (AS3MT), the key gene in the metabolism of arsenic, have been associated with increased arsenic methylation efficiency. Of particular interest is the fact that different studies have reported that several of the AS3MT single nucleotide polymorphisms (SNPs) are in strong linkage-disequilibrium (LD), which also extends to a nearby gene, CYP17A1. In an effort to characterize the extent of the region in LD, we genotyped 46 SNPs in a 347,000 base region of chromosome 10 that included AS3MT in arsenic-exposed subjects from Mexico. Pairwise LD analysis showed strong LD for these polymorphisms, represented by a mean r(2) of 0.82, spanning a region that includes five genes. Genetic association analysis with arsenic metabolism confirmed the previously observed association between AS3MT variants, including this large cluster of linked polymorphisms, and arsenic methylation efficiency. The existence of a large genomic region sharing strong LD with polymorphisms associated with arsenic metabolism presents a predicament because the observed phenotype cannot be unequivocally assigned to a single SNP or even a single gene. The results reported here should be carefully considered for future genomic association studies involving AS3MT and arsenic metabolism.
Doi 10.1002/jat.1492
Pmid 20014157
Wosid WOS:000277524000010
Is Certified Translation No
Dupe Override No
Comments |WOS:000277524000010
Is Public Yes
Language Text English
Keyword arsenic; AS3MT; linkage disequilibrium; polymorphism; SNP
Is Qa No