A genome-wide association study of global gene expression

被引:764
作者
Dixon, Anna L.
Liang, Liming
Moffatt, Miriam F.
Chen, Wei
Heath, Simon
Wong, Kenny C. C.
Taylor, Jenny
Burnett, Edward
Gut, Ivo
Farrall, Martin
Lathrop, G. Mark
Abecasis, Goncalo R.
Cookson, William O. C. [1 ]
机构
[1] Imperial Coll London, Natl Heart & Lung Inst, London SW3 6LY, England
[2] Univ Oxford, Wellcome Trust Ctr Human Genet, Oxford OX3 7BN, England
[3] Ctr Stat Genet, Sch Publ Hlth, Dept Biostat, Ann Arbor, MI 48109 USA
[4] Ctr Natl Genotypage, Inst Genom, Commissariat Lenergie Atom, F-91057 Evry, France
[5] European Collect Cell Cultures, Salisbury SP4 0JG, Wilts, England
基金
英国惠康基金;
关键词
D O I
10.1038/ng2109
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
We have created a global map of the effects of polymorphism on gene expression in 400 children from families recruited through a proband with asthma. We genotyped 408,273 SNPs and identified expression quantitative trait loci from measurements of 54,675 transcripts representing 20,599 genes in Epstein-Barr virus-transformed lymphoblastoid cell lines. We found that 15,084 transcripts (28%) representing 6,660 genes had narrow-sense heritabilities (H-2) > 0.3. We executed genome-wide association scans for these traits and found peak lod scores between 3.68 and 59.1. The most highly heritable traits were markedly enriched in Gene Ontology descriptors for response to unfolded protein (chaperonins and heat shock proteins), regulation of progression through the cell cycle, RNA processing, DNA repair, immune responses and apoptosis. SNPs that regulate expression of these genes are candidates in the study of degenerative diseases, malignancy, infection and inflammation. We have created a downloadable database to facilitate use of our findings in the mapping of complex disease loci.
引用
收藏
页码:1202 / 1207
页数:6
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