Year: 2015
Type: review
Abstract: In the past few years, genome-wide association study (GWAS) has made great successes in identifying genetic susceptibility loci underlying many complex diseases and traits. The findings provide important genetic insights into understanding pathogenesis of diseases. In this paper, we present an overview of widely used approaches and strategies for analysis of GWAS, offered a general consideration to deal with GWAS data. The issues regarding data quality control, population structure, association analysis, multiple comparison and visual presentation of GWAS results are discussed; other advanced topics including the issue of missing heritability, meta-analysis, set-based association analysis, copy number variation analysis and GWAS cohort analysis are also briefly introduced.
Source: Journal of Biomedical Research
Authors: Zeng Ping, Zhao Yang, Qian Cheng, Zhang Liwei, Zhang Ruyang, Gou Jianwei, Liu Jin, Liu Liya, Chen Feng
Institutions: Xuzhou Medical College, Nanjing Medical University
Language: English
Subfield: Genetics
Domain: Life Sciences
Open Access status: hybrid
OpenAlex ID: W1847429134