Mapping of hepatic expression quantitative trait loci (eQTLs) in a Han Chinese population.
Mapping of hepatic expression quantitative trait loci (eQTLs) in a Han Chinese population.
复制标题
中国汉族人群肝脏表达数量性状位点 (eQTL) 的定位。
DOI:
10.1136/jmedgenet-2013-102045
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发表时间:
2014-05
影响因子:
4
通讯作者:
Peng Z
中科院分区:
文献类型:
--
作者:
Wang X;Tang H;Teng M;Li Z;Li J;Fan J;Zhong L;Sun X;Xu J;Chen G;Chen D;Wang Z;Xing T;Zhang J;Huang L;Wang S;Peng X;Qin S;Shi Y;Peng Z
Elucidating the genetic basis underlying hepatic gene expression variability is of importance to understand the aetiology of the disease and variation in drug metabolism. To date, no genome-wide expression quantitative trait loci (eQTLs) analysis has been conducted in the Han Chinese population, the largest ethnic group in the world. We performed a genome-wide eQTL mapping in a set of Han Chinese liver tissue samples (n=64). The data were then compared with published eQTL data from a Caucasian population. We then performed correlations between these eQTLs with important pharmacogenes, and genome-wide association study (GWAS) identified single nucleotide polymorphisms (SNPs), in particular those identified in the Asian population. Our analyses identified 1669 significant eQTLs (false discovery rate (FDR) < 0.05). We found that 41% of Asian eQTLs were also eQTLs in Caucasians at the genome-wide significance level (p=10−8). Both cis- and trans-eQTLs in the Asian population were also more likely to be eQTLs in Caucasians (p<10−4). Enrichment analyses revealed that trait-associated GWAS-SNPs were enriched within the eQTLs identified in our data, so were the GWAS-SNPs specifically identified in Asian populations in a separate analysis (p<0.001 for both). We also found that hepatic expression of very important pharmacogenetic (VIP) genes (n=44) and a manually curated list of major genes involved in pharmacokinetics (n=341) were both more likely to be controlled by eQTLs (p<0.002 for both). Our study provided, for the first time, a comprehensive hepatic eQTL analysis in a non-European population, further generating valuable data for characterising the genetic basis of human diseases and pharmacogenetic traits.
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DOI:
10.1097/00008571-199906000-00009
发表时间:
1999-06-01
期刊:
PHARMACOGENETICS
影响因子:
--
作者:
Lampe, JW;Bigler, J;Potter, JD
通讯作者:
Potter, JD
影响因子:
3.6
作者:
Hines, Ronald N.
通讯作者:
Hines, Ronald N.
影响因子:
4.5
作者:
Innocenti F;Cooper GM;Stanaway IB;Gamazon ER;Smith JD;Mirkov S;Ramirez J;Liu W;Lin YS;Moloney C;Aldred SF;Trinklein ND;Schuetz E;Nickerson DA;Thummel KE;Rieder MJ;Rettie AE;Ratain MJ;Cox NJ;Brown CD
通讯作者:
Brown CD
影响因子:
15.8
作者:
Brooks PJ;Enoch MA;Goldman D;Li TK;Yokoyama A
通讯作者:
Yokoyama A
影响因子:
30.8
作者:
通讯作者:
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