How to Interpret a Genome-wide Association Study
National Human Genome Research Institute
Abstract
Genome-wide association (GWA) studies use high-throughput genotyping technologies to assay hundreds of thousands of single-nucleotide polymorphisms (SNPs) and relate them to clinical conditions and measurable traits. Since 2005, nearly 100 loci for as many as 40 common diseases and traits have been identified and replicated in GWA studies, many in genes not previously suspected of having a role in the disease under study, and some in genomic regions containing no known genes. GWA studies are an important advance in discovering genetic variants influencing disease but also have important limitations, including their potential for false-positive and false-negative results and for biases related to selection of…
Citation impact
- FWCI
- 61.12
- Percentile
- 100%
- References
- 69
Authors
1Topics & keywords
- Genome-wide association study
- Genotyping
- Single-nucleotide polymorphism
- Computational biology
- Genetic association
- Medicine
- Disease
- Genomics