The Brisbane Systems Genetics Study: Genetical Genomics Meets Complex Trait Genetics

被引:69
|
作者
Powell, Joseph E. [1 ,2 ]
Henders, Anjali K. [2 ]
McRae, Allan F. [1 ,2 ]
Caracella, Anthony [2 ]
Smith, Sara [2 ]
Wright, Margaret J. [2 ]
Whitfield, John B. [2 ]
Dermitzakis, Emmanouil T. [3 ]
Martin, Nicholas G. [2 ]
Visscher, Peter M. [1 ,2 ,4 ]
Montgomery, Grant W. [2 ]
机构
[1] Univ Queensland, Diamantina Inst, Princess Alexandra Hosp, Brisbane, Qld, Australia
[2] Queensland Inst Med Res, Brisbane, Qld 4006, Australia
[3] Univ Geneva, Sch Med, Dept Genet Med & Dev, CH-1211 Geneva, Switzerland
[4] Univ Queensland, Queensland Brain Inst, Brisbane, Qld, Australia
来源
PLOS ONE | 2012年 / 7卷 / 04期
基金
英国医学研究理事会; 澳大利亚国家健康与医学研究理事会; 澳大利亚研究理事会;
关键词
WIDE ASSOCIATION; MISSING HERITABILITY; HUMAN-POPULATIONS; BIPOLAR DISORDER; EXPRESSION; DISEASE; VARIANTS; LINKAGE; COMMON; LOCI;
D O I
10.1371/journal.pone.0035430
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
There is growing evidence that genetic risk factors for common disease are caused by hereditary changes of gene regulation acting in complex pathways. Clearly understanding the molecular genetic relationships between genetic control of gene expression and its effect on complex diseases is essential. Here we describe the Brisbane Systems Genetics Study (BSGS), a family-based study that will be used to elucidate the genetic factors affecting gene expression and the role of gene regulation in mediating endophenotypes and complex diseases. BSGS comprises of a total of 962 individuals from 314 families, for which we have high-density genotype, gene expression and phenotypic data. Families consist of combinations of both monozygotic and dizygotic twin pairs, their siblings, and, for 72 families, both parents. A significant advantage of the inclusion of parents is improved power to disentangle environmental, additive genetic and non-additive genetic effects of gene expression and measured phenotypes. Furthermore, it allows for the estimation of parent-of-origin effects, something that has not previously been systematically investigated in human genetical genomics studies. Measured phenotypes available within the BSGS include blood phenotypes and biochemical traits measured from components of the tissue sample in which transcription levels are determined, providing an ideal test case for systems genetics approaches. We report results from an expression quantitative trait loci (eQTL) analysis using 862 individuals from BSGS to test for associations between expression levels of 17,926 probes and 528,509 SNP genotypes. At a study wide significance level approximately 15,000 associations were observed between expression levels and SNP genotypes. These associations corresponded to a total of 2,081 expression quantitative trait loci (eQTL) involving 1,503 probes. The majority of identified eQTL (87%) were located within cis-regions.
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页数:9
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