Overview of Genome Wide Association Studies and study designs
The second of a series of seven online lectures for Genome Wide
Association Studies (GWAS) will provide a basic overview on genome-wide
association studies (GWAS). This is timely with the H3Africa genotyping
data becoming available for several of the H3Africa research groups. To
enable genomic research, the H3Africa Consortium had to build some of
its own resources. This has involved sequencing whole genomes from
selected under-represented African populations, analyzing the data to
identify common genetic variation across major groups and developing a
unique GWAS array, enriched for common African variation. The H3Africa
SNP genotyping array, is currently the best-suited array available for
African genome-wide association studies.
What does it take to develop a genome study to understand genetic and
environmental contributions to complex disease traits? This GWAS
lecture will cover the research process from protocol development to
data quality control and GWAS analysis approaches. It will include the
two main study designs:
Case : control (e.g. diabetes, hypertension, kidney disease)
Continuous trait (e.g. LDL-Cholesterol, body mass index, height) GWAS.
I will discuss the basic building blocks of a GWAS study, the
different study designs, power of a study to detect genetic association
(based in sample size, allele frequency and expected effect size), and
replication studies. The advantages and disadvantages of doing GWAS in
African populations will be discussed.