全基因组关联研究
遗传关联
插补(统计学)
计算生物学
生物
遗传学
单核苷酸多态性
基因型
计算机科学
缺少数据
基因
机器学习
出处
期刊:Methods in molecular biology
日期:2018-01-01
卷期号:: 37-49
被引量:8
标识
DOI:10.1007/978-1-4939-7868-7_4
摘要
Genetic association studies have made a major contribution to our understanding of the genetics of complex disorders over the last 10 years through genome-wide association studies (GWAS). In this chapter, we review the key concepts that underlie the GWAS approach. We will describe the “common disease, common variant” theory, and will review how we finally afforded to capture the common variance in genome to make GWAS possible. Finally, we will go over technical aspects of GWAS such as genotype imputation, epidemiologic designs, analysis methods, and considerations such as genomic inflation, multiple testing, and replication.
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