famCNV: copy number variant association for quantitative traits in families

被引：9

作者：

Eleftherohorinou, Hariklia ^{[2
]}

Andersson-Assarsson, Johanna C. ^{[1
,3
,4
]}

Walters, Robin G. ^{[1
,2
]}

Moustafa, Julia S. El-Sayed ^{[1
]}

Coin, Lachlan ^{[2
]}

Jacobson, Peter ^{[3
,4
]}

Carlsson, Lena M. S. ^{[3
,4
]}

Blakemore, Alexandra I. F. ^{[1
]}

Froguel, Philippe ^{[1
]}

Walley, Andrew J. ^{[1
]}

Falchi, Mario ^{[1
]}

机构：

[1] Univ London Imperial Coll Sci Technol & Med, Hammersmith Hosp, Sch Publ Hlth, Dept Genom Common Dis, London, England

[2] Univ London Imperial Coll Sci Technol & Med, St Marys Hosp, Sch Publ Hlth, Dept Epidemiol & Biostat, London, England

[3] Gothenburg Univ, Sahlgrenska Acad, Dept Mol & Clin Med, SE-41307 Gothenburg, Sweden

[4] Sahlgrenska Ctr Cardiovasc & Metab Res, SE-41307 Gothenburg, Sweden

来源：

BIOINFORMATICS | 2011年 / 27卷 / 13期

基金：

瑞典研究理事会; 英国惠康基金;

关键词：

GENOME-WIDE ASSOCIATION; OBESITY; POPULATION; EXPRESSION; LINKAGE; DISEASE; TISSUE; MODEL; LOCI;

D O I：

10.1093/bioinformatics/btr264

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

A program package to enable genome-wide association of copy number variants (CNVs) with quantitative phenotypes in families of arbitrary size and complexity. Intensity signals that act as proxies for the number of copies are modeled in a variance component framework and association with traits is assessed through formal likelihood testing.

引用

页码：1873 / 1875

页数：3

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