Replication of Genetic Associations as Pseudoreplication due to Shared Genealogy
被引:3
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作者:
Rosenberg, Noah A.
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机构:
Univ Michigan, Dept Human Genet, Ctr Computat Med & Biol, Ann Arbor, MI 48109 USAUniv Michigan, Dept Human Genet, Ctr Computat Med & Biol, Ann Arbor, MI 48109 USA
Rosenberg, Noah A.
[1
]
VanLiere, Jenna M.
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h-index: 0
机构:Univ Michigan, Dept Human Genet, Ctr Computat Med & Biol, Ann Arbor, MI 48109 USA
VanLiere, Jenna M.
机构:
[1] Univ Michigan, Dept Human Genet, Ctr Computat Med & Biol, Ann Arbor, MI 48109 USA
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.