Instant Methods To ALPI In Step-By-Step Details

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Версія від 20:03, 28 січня 2017, створена Knot32gallon (обговореннявнесок) (Створена сторінка: However, these tests use only information on affected offspring and their parents. Recently, PATu [2] was proposed to take unaffected offspring in a nuclear fam...)

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However, these tests use only information on affected offspring and their parents. Recently, PATu [2] was proposed to take unaffected offspring in a nuclear family into consideration, making fuller use of data to improve power. In this study, we propose a novel parent-of-origin effects test, PPATu, that uses both affected and unaffected offspring in general pedigrees, and apply the method to the Genetic Analysis Workshop 18 (GAW18) data, consisting of 20 large pedigrees, to study the hypertensive phenotype. Previous studies revealed the possible involvement of imprinted genes in hypertension [3,4]. The GAW18 data thus provide us the opportunity to further substantiate such findings. Methods Suppose that the marker of interest has 2 alleles, M1 and M2, and the ALPI disease allele is more likely to be associated with marker allele M1. Let 0, 1, and 2 represent the marker genotypes M2M2, M1M2, and M1M1, respectively. For a child-parents trio, let F, M, and C denote Selleck Rucaparib the marker genotypes of the father, mother, and child, respectively. Throughout this article, mating symmetry is assumed; that is, P(F=f, M=m)=P(F=m, M=f) for all f, m = 0,1,2. We also assume that there is no maternal effect; that is, the maternal genotype does not confer additional risk on the child's phenotype. Suppose we have N independent pedigrees, and for the ith pedigree, we have nui unaffected and nai affected offspring. Define S= ��i=1N[��j=1nai(IFij>Mij,Cij=1-IFijMik=1,Cik=1-IFikMij,Cij=1-IFijMik,Cik=1-IFik The standardized test OTX015 ic50 statistic PPATu=SV ^(S) follows the N(0, 1) distribution asymptotically. When there is maternal imprinting effect, PPATu will be positive; when there is paternal imprinting effect, it will be negative. Note that the contributions from trios in a pedigree are not independent, and their correlations are accounted for in the variance. In our simulation study and application below, we compare the performance of PPATu with PPAT, whose statistic is defined without the negative terms in the S statistic; that is, without utilizing information on trios with unaffected offspring. More specifically, PPAT=��i=1N��j=1nai(IFij>Mij,Cij=1-IFijMij,Cij=1-IFij