Replication of Genetic Associations as Pseudoreplication due to Shared Genealogy

被引:3
|
作者
Rosenberg, Noah A. [1 ]
VanLiere, Jenna M.
机构
[1] Univ Michigan, Dept Human Genet, Ctr Computat Med & Biol, Ann Arbor, MI 48109 USA
关键词
coalescent; population growth; meta-analysis; GENOME-WIDE ASSOCIATION; LINKAGE DISEQUILIBRIUM; SEQUENCE VARIATION; HUMAN-EVOLUTION; COMMON DISEASE; FLIP-FLOP; POPULATIONS; SIZE; PATTERNS; HISTORY;
D O I
10.1002/gepi.20400
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
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 tinder 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. (C) 2009 Wiley-Liss, Inc.
引用
收藏
页码:479 / 487
页数:9
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