Joint association analysis method to dissect complex genetic architecture of multiple genetically related traits

Feng Lin; Guoan Qi; Ting Xu; Xiangyang Lou; Yongbo Hong; Haiming Xu

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Joint association analysis method to dissect complex genetic architecture of multiple genetically related traits

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Genome-wide association study(GWAS)has been a standard approach to discover the genetic determinants underlying complex traits.It is a major challenge in GWAS how to improve analysis power,uncover complex genetic correlation,and reveal gene-gene and gene-environment interactions through integrated analysis of multiple genetically related traits.To combat these challenges,we proposed a mixed linear model-based joint association analysis method for multiple traits,which include epistasis and geneenvironment interaction in the mapping model and utilize within-trait variance and between-trait covariance simultaneously;A F-statistics based on Wilks statistics is used to test the significance of each SNP and paired interacted SNPs,each genetic effects of QTS are estimated and tested by the MCMC method based on a QTS full model.Simulations showed that the multi-trait GWAS method could provide increased power in detecting pleiotropic loci affecting more than one trait,and can unbiasedly estimate effects of QTS.To demonstrate the performance of the proposed method,we analyzed four blood lipid traits in Multi-Ethnic Study of Atherosclerosis(MESA)Cohort and two yield-related traits in a rice immortalized F2 dataset.A software package was developed for the proposed method.

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《作物学报：英文版》 |2020年第5期|P.733-744|共12页
作者
Feng Lin; Guoan Qi; Ting Xu; Xiangyang Lou; Yongbo Hong; Haiming Xu;
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作者单位

Institute of Crop Science College of Agriculture and Biotechnology Zhejiang University Hangzhou 310058 Zhejiang ChinaState Key Laboratory of Rice Biology and Zhejiang Key Laboratory of Super Rice Research China National Rice Research Institute Hangzhou 311401 Zhejiang China;

Institute of Crop Science College of Agriculture and Biotechnology Zhejiang University Hangzhou 310058 Zhejiang China;

Department of Mathematics Zhejiang University Hangzhou 310058 Zhejiang China;

Department of Biostatistics Colleges of PHHP and the College of Medicine University of Florida Gainesville FL 32610 USA;

State Key Laboratory of Rice Biology and Zhejiang Key Laboratory of Super Rice Research China National Rice Research Institute Hangzhou 311401 Zhejiang China;

Institute of Crop Science College of Agriculture and Biotechnology Zhejiang University Hangzhou 310058 Zhejiang China;

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原文格式 PDF
正文语种 chi
中图分类禾谷类作物;
关键词
traits; analysis; complex;

机译：特质;分析;复杂;

Joint association analysis method to dissect complex genetic architecture of multiple genetically related traits

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