Statistical methodologies used in genome-wide association studies
10.3760/cma.j.issn.0254-6450.2011.04.018
- VernacularTitle:全基因组关联研究中的统计分析方法
- Author:
Feng CHEN
1
;
Jian-Ling BAI
;
Yang ZHAO
;
Peng-Cheng XUN
Author Information
1. 南京医科大学
- Keywords:
Genome-wide association study;
Quality control;
Data management;
Statistical analysis
- From:
Chinese Journal of Epidemiology
2011;32(4):400-404
- CountryChina
- Language:Chinese
-
Abstract:
In lieu of large samples of cases and/or controls with hundreds of markers spreading throughout the human genome, researchers started to notice the dramatic increase of genome-wide association study (GWAS) for complex disorders, in the last 5 years. This paper highlights the statistical challenges in such huge-scale genetic studies, and introduces the analytical strategies and steps for handling GWAS data. Such issues as quality control of data, population stratification, methods available to data analysis and results presentation, replication, as well as the limitations of GWAS studies and the challenges presenting for statistics, are addressed.
