The Minnesota Center for Twin and Family Research Genome-Wide Association Study

被引:64
作者
Miller, Michael B. [1 ]
Basu, Saonli [2 ]
Cunningham, Julie [3 ]
Eskin, Eleazar [4 ,5 ]
Malone, Steven M. [1 ]
Oetting, William S. [6 ,7 ]
Schork, Nicholas [8 ,10 ]
Sul, Jae Hoon [4 ,5 ]
Iacono, William G. [1 ]
McGue, Matt [1 ,9 ]
机构
[1] Univ Minnesota, Dept Psychol, Minnesota Ctr Twin & Family Res, Minneapolis, MN 55455 USA
[2] Univ Minnesota, Sch Publ Hlth, Div Biostat, Minneapolis, MN 55455 USA
[3] Mayo Clin, Coll Med, Dept Lab Med, Rochester, MN USA
[4] Univ Calif Los Angeles, Dept Comp Sci, Los Angeles, CA 90024 USA
[5] Univ Calif Los Angeles, Dept Human Genet, Los Angeles, CA USA
[6] Univ Minnesota, Coll Pharm, Dept Expt & Clin Pharmacol, Minneapolis, MN 55455 USA
[7] Univ Minnesota, Inst Human Genet, Minneapolis, MN 55455 USA
[8] Scripps Translat Sci Inst, La Jolla, CA USA
[9] Univ So Denmark, Inst Publ Hlth, Odense, Denmark
[10] Scripps Res Inst, Dept Mol & Expt Med, La Jolla, CA USA
关键词
GWAS; rapid feasible generalized least squares; Minnesota Center for Twin and Family Research; LOCI; VARIANTS; RISK; DISORDERS;
D O I
10.1017/thg.2012.62
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
As part of the Genes, Environment and Development Initiative, the Minnesota Center for Twin and Family Research (MCTFR) undertook a genome-wide association study, which we describe here. A total of 8,405 research participants, clustered in four-member families, have been successfully genotyped on 527,829 single nucleotide polymorphism (SNP) markers using Illumina's Human660W-Quad array. Quality control screening of samples and markers as well as SNP imputation procedures are described. We also describe methods for ancestry control and how the familial clustering of the MCTFR sample can be accounted for in the analysis using a Rapid Feasible Generalized Least Squares algorithm. The rich longitudinal MCTFR assessments provide numerous opportunities for collaboration.
引用
收藏
页码:767 / 774
页数:8
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