Replication of genetic associations as pseudoreplication due to shared genealogy
- 3 February 2009
- journal article
- research article
- Published by Wiley in Genetic Epidemiology
- Vol. 33 (6) , 479-487
- https://doi.org/10.1002/gepi.20400
Abstract
The genotypes of individuals in replicate genetic association studies have some level of correlation due to shared descent in the complete pedigree of all living humans. As a result of this genealogical sharing, replicate studies that search for genotype‐phenotype associations using linkage disequilibrium between marker loci and disease‐susceptibility loci can be considered as “pseudoreplicates” rather than true replicates. We examine the size of the pseudoreplication effect in association studies simulated from evolutionary models of the history of a population, evaluating the excess probability that both of a pair of studies detect a disease association compared to the probability expected under the assumption that the two studies are independent. Each of nine combinations of a demographic model and a penetrance model leads to a detectable pseudoreplication effect, suggesting that the degree of support that can be attributed to a replicated genetic association result is less than that which can be attributed to a replicated result in a context of true independence. Genet. Epidemiol. 33:479–487, 2009.Keywords
This publication has 51 references indexed in Scilit:
- Genetic Flip-Flop without an Accompanying Change in Linkage DisequilibriumAmerican Journal of Human Genetics, 2008
- Required sample size and nonreplicability thresholds for heterogeneous genetic associationsProceedings of the National Academy of Sciences, 2008
- Statistical evaluation of alternative models of human evolutionProceedings of the National Academy of Sciences, 2007
- Replicating genotype–phenotype associationsNature, 2007
- Overcoming the Winner’s Curse: Estimating Penetrance Parameters from Case-Control DataAmerican Journal of Human Genetics, 2007
- No Gene Is an Island: The Flip-Flop PhenomenonAmerican Journal of Human Genetics, 2007
- A tutorial on statistical methods for population association studiesNature Reviews Genetics, 2006
- Joint analysis is more efficient than replication-based analysis for two-stage genome-wide association studiesNature Genetics, 2006
- Meta-analysis of genetic association studies supports a contribution of common variants to susceptibility to common diseaseNature Genetics, 2003
- Patterns of linkage disequilibrium in the human genomeNature Reviews Genetics, 2002