Efficient Estimation and Applications of Cross-Validated Genetic Predictions to Polygenic Risk Scores and Linear Mixed Models.

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作者： Joel,Mefford ^[1] ; Danny,Park ^[2] ; Zhili,Zheng ^[3] ; Arthur,Ko ^[4] ; Mika,Ala-Korpela ^[5] ; Markku,Laakso ^[6] ; Päivi,Pajukanta ^[7] ; Jian,Yang ^[8] ; John,Witte ^[9] ; Noah,Zaitlen ^[4]

作者单位： Neurology, UCLA, Los Angeles, California. ^[1] School of Medicine, UCSF, San Francisco, California. ^[2] Institute for Molecular Bioscience, University of Queensland, Brisbane, Queensland, Australia. ^[3] Human Genetics, UCLA, Los Angeles, California. ^[4] Baker IDI Heart and Diabetes Institute, Melbourne, Victoria, Australia. ^[5] University of Oulu Biocenter, Oulu, Finland. ^[6] NMR Metabolomics Laboratory, School of Pharmacy, University of Eastern Finland, Kuopio, Finland. ^[7] University of Bristol School of Medical Sciences, Population Health Science, Bristol, Bristol, United Kingdom. ^[8] Department of Medicine, University of Eastern Finland School of Medicine, Kuopio, Finland. ^[9] Departments of Epidemiology and Biostatistics, and Urology, UCSF, San Francisco, California. ^[10]

关键词 BLUP PCA PRS linear mixed model polygenic risk score

主题词疾病遗传易感性(Genetic Predisposition to Disease);全基因组关联研究(Genome-Wide Association Study);人类(Humans);线性模型(Linear Models);多因子遗传(Multifactorial Inheritance);表型(Phenotype);危险因素(Risk Factors)

DOI 10.1089/cmb.2019.0325

PMID 32077750

发布时间 2024-03-28

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