title: Imprinting detection by extending a regression-based QTL analysis method.
abstract: We present an extension of a regression-based quantitative-trait linkage analysis method to incorporate parent-of-origin effects. We separately regressed total, paternal, and maternal IBD sharing on traits' squared sums and differences. We also developed a test for imprinting that indicates whether there is any difference between the paternal and maternal regression coefficients. Since this method treats the identity-by-descent information as the dependent variable that is conditioned on the trait, it can be readily applied to data from complex ascertainment processes. We performed a simulation study to examine the performance of the method. We found that when using empirical critical values, the method shows identical or higher power compared to existing methods for evaluation of parent-of-origin effect in linkage analysis of quantitative traits. Missing parental genotypes increase the type I error rate of the linkage test and decrease the power of the imprinting test. When the major gene has a low heritability, the power of the method decreases considerably, but the statistical tests still perform well. We also applied a permutation algorithm, which ensures the appropriate type I error rate for the test for imprinting. The method was applied to a data from a study of 6 body size related measures and 23 loci on chromosome 7 for 255 nuclear families. Multipoint identities-by-descent (IBD) were obtained using a modification of the SIMWALK 2 program. A parent-of-origin effect consistent with maternal imprinting was suggested at 99.67-111.26 Mb for body mass index, bioelectrical impedance analysis, waist circumference, and leptin concentration.
authors.affiliation: Department of Epidemiology, MD Anderson Cancer Center, University of Texas, Unit 1340, 1155 Pressler Street, Houston, TX 77030, USA. oygorlov@mdanderson.org
authors.forename: Olga Y
authors.initials: OY
authors.lastname: Gorlova
authors.forename: Lei
authors.initials: L
authors.lastname: Lei
authors.forename: Dakai
authors.initials: D
authors.lastname: Zhu
authors.forename: Shih-Feng
authors.initials: SF
authors.lastname: Weng
authors.forename: Sanjay
authors.initials: S
authors.lastname: Shete
authors.forename: Yiqun
authors.initials: Y
authors.lastname: Zhang
authors.forename: Wei-Dong
authors.initials: WD
authors.lastname: Li
authors.forename: R Arlen
authors.initials: RA
authors.lastname: Price
authors.forename: Christopher I
authors.initials: CI
authors.lastname: Amos
mesh_terms: D000328:Adult; D000367:Age Factors; D049628:Body Size / Q000235:genetics*; D002648:Child; D002897:Chromosomes, Human, Pair 7 / Q000235:genetics*; D003198:Computer Simulation; D005260:Female; D008040:Genetic Linkage; D018392:Genomic Imprinting / Q000235:genetics*; D006801:Humans; D008297:Male; D008957:Models, Genetic; D009765:Obesity / Q000235:genetics*; D040641:Quantitative Trait Loci / Q000235:genetics*; D012044:Regression Analysis; D012737:Sex Factors; D012984:Software