Genetic association testing using the GENESIS R/Bioconductor package

被引：249

作者：

Gogarten, Stephanie M. ^{[1
]}

Sofer, Tamar ^{[2
,3
]}

Chen, Han ^{[4
,5
,6
]}

Yu, Chaoyu ^{[1
]}

Brody, Jennifer A. ^{[7
]}

Thornton, Timothy A. ^{[1
]}

Rice, Kenneth M. ^{[1
]}

Conomos, Matthew P. ^{[1
]}

机构：

[1] Univ Washington, Dept Biostat, Seattle, WA 98195 USA

[2] Brigham & Womens Hosp, Dept Med, Div Sleep & Circadian Disorders, 75 Francis St, Boston, MA 02115 USA

[3] Harvard TH Chan Sch Publ Hlth, Dept Biostat, Boston, MA USA

[4] Univ Texas Hlth Sci Ctr Houston, Dept Epidemiol Human Genet & Environm Sci, Sch Publ Hlth, Ctr Human Genet, Houston, TX 77030 USA

[5] Univ Texas Hlth Sci Ctr Houston, Ctr Precis Hlth, Sch Publ Hlth, Houston, TX 77030 USA

[6] Univ Texas Hlth Sci Ctr Houston, Sch Biomed Informat, Houston, TX 77030 USA

[7] Univ Washington, Dept Med, Cardiovasc Hlth Res Unit, Seattle, WA 98101 USA

来源：

BIOINFORMATICS | 2019年 / 35卷 / 24期

关键词：

POPULATION-STRUCTURE; QUANTITATIVE TRAITS; RELATEDNESS; INFERENCE; ALGORITHM;

D O I：

10.1093/bioinformatics/btz567

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

The Genomic Data Storage (GDS) format provides efficient storage and retrieval of genotypes measured by microarrays and sequencing. We developed GENESIS to perform various single- and aggregate-variant association tests using genotype data stored in GDS format. GENESIS implements highly flexible mixed models, allowing for different link functions, multiple variance components and phenotypic heteroskedasticity. GENESIS integrates cohesively with other R/Bioconductor packages to build a complete genomic analysis workflow entirely within the R environment.

引用

页码：5346 / 5348

页数：3

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