Unit

UNIT 1.24 Methods for Meta-Analysis of Genetic Data

  1. Kathryn L. Lunetta

Published Online: 1 APR 2013

DOI: 10.1002/0471142905.hg0124s77

Current Protocols in Human Genetics

Current Protocols in Human Genetics

How to Cite

Lunetta, K. L. 2013. Methods for Meta-Analysis of Genetic Data. Current Protocols in Human Genetics. 77:1.24:1.24.1–1.24.8.

Author Information

  1. Boston University School of Public Health, Boston, Massachusetts

Publication History

  1. Published Online: 1 APR 2013

Abstract

Modern genetic association studies, using genome-wide genotype data, are often underpowered. Meta-analyses of multiple studies performing genome-wide genotyping improve power and have led to the identification of thousands of genotype-trait associations. This unit provides an overview of the key concepts required for genetic meta-analyses, and presents strategic approaches and key decisions that must be made in the process of performing genome-wide association study (GWAS) meta-analyses. The commentary discusses the interpretation of GWAS meta-analysis results, complications, and some of the possible next steps once a GWAS meta-analysis has successfully identified regions associated with a trait. Curr. Protoc. Hum. Genet. 77:1.24.1-1.24.8. © 2013 by John Wiley & Sons, Inc.

Keywords:

  • genome-wide association;
  • GWAS;
  • genetic association analysis;
  • meta-analysis;
  • common variants