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New joint covariance‐ and marginal‐based tests for association and linkage for quantitative traits for random and non‐random sampling
Author(s) -
Tiwari Hemant K.,
Holt Janet,
George Varghese,
Beasley T. Mark,
Amos Christopher I.,
Allison David B.
Publication year - 2005
Publication title -
genetic epidemiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.301
H-Index - 98
eISSN - 1098-2272
pISSN - 0741-0395
DOI - 10.1002/gepi.20035
Subject(s) - heritability , statistics , linkage disequilibrium , sample size determination , biology , genetics , covariance , statistical power , mathematics , genotype , single nucleotide polymorphism , gene
We develop novel statistical tests for transmission disequilibrium testing (tests of linkage in the presence of association) for quantitative traits using parents and offspring. These joint tests utilize information in both the covariance (or more generally, dependency) between genotype and phenotype and the marginal distribution of genotype. Using computer simulation we test the validity (Type I error rate control) and power of the proposed methods, for additive, dominant, and recessive modes of inheritance, locus‐specific heritability of the trait 0.05, 0.1, 0.2 with allele frequencies of P =0.2 and 0.4, and sample sizes of 500, 200, and 100 trios. Both random sampling and extreme sampling schemes were investigated. A multinomial logistic joint test provides the highest overall power irrespective of sample size, allele frequency, heritability, and modes of inheritance. Genet. Epidemiol . © 2004 Wiley‐Liss, Inc.