2009/11/01 by Nan M. Laird, Christoph Lange · 22 citations
Biochemistry, Genetics and Molecular Biology · Mathematics · #Advanced Causal Inference Techniques #Association (psychology) #Clinical study design #Cohort #Cohort study #Genetic Associations and Epidemiology #Genetic Mapping and Diversity in Plants and Animals #Relevance (law) #Robustness (evolution) #stat.ME
paper · pdf · doi:10.1214/08-sts280
published in Statistical Science 24(4) (Institute of Mathematical Statistics) · Published in at http://dx.doi.org/10.1214/08-STS280 the Statistical Science (http://www.imstat.org/sts/) by the Institute of Mathematical Statistics (http://www.imstat.org)
openalex publication_date 2009/11/01 · arxiv created 2010/10/22 · arxiv updated 2010/10/25 · openalex created_date 2016/06/24 · openalex updated_date 2026/08/05
Genome-Wide Association Studies (GWAS) offer an exciting and promising new research avenue for finding genes for complex diseases. Traditional case-control and cohort studies offer many advantages for such designs. Family-based association designs have long been attractive for their robustness properties, but robustness can mean a loss of power. In this paper we discuss some of the special features of family designs and their relevance in the era of GWAS.