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Two-phase sample selection strategies for design and analysis in post-genome-wide association fine-mapping studies.

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第一作者： Osvaldo,Espin-Garcia

第一单位： Department of Biostatistics, Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada.;Division of Biostatistics, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada.

作者： Osvaldo,Espin-Garcia ^[1] ; Radu V,Craiu ^[2] ; Shelley B,Bull ^[3]

作者单位： Department of Biostatistics, Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada.;Division of Biostatistics, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada. ^[1] Department of Statistical Sciences, Faculty of Arts and Sciences, University of Toronto, Toronto, Ontario, Canada. ^[2] Division of Biostatistics, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada.;Lunenfeld-Tanenbaum Research Institute, Sinai Health, Toronto, Ontario, Canada. ^[3]

关键词 genetic algorithm post-GWAS targeted sequencing practical two-phase studies statistical fine-mapping two-phase study design and analysis

医学主题词遗传关联研究(Genetic Association Studies);全基因组关联研究(Genome-Wide Association Study);基因型(Genotype);人类(Humans);表型(Phenotype);多态性, 单核苷酸(Polymorphism, Single Nucleotide)

DOI 10.1002/sim.9211

PMID 34596256

发布时间 2022-07-21

基金项目

GET-101831/CIHR/Canada MOP-84287/CIHR/Canada PJT-159463/CIHR/Canada

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准确一般字义偏差语意偏离译文作用小提交