Literature DB >> 22008205

Likelihood approach for detecting imprinting and in utero maternal effects using general pedigrees from prospective family-based association studies.

Jingyuan Yang1, Shili Lin.   

Abstract

Genetic imprinting and in utero maternal effects are causes of parent-of-origin effect but they are confounded with each other. Tests attempting to detect only one of these effects would have a severely inflated type I error rate if the assumption of the absence of the other effect is violated. Some existing methods avoid the potential confounding by modeling imprinting and in utero maternal effect simultaneously. However, these methods are not amendable to extended families, which are commonly recruited in family-based studies. In this article, we propose a likelihood approach for detecting imprinting and maternal effects (LIME) using general pedigrees from prospective family-based association studies. LIME formulates the probability of familial genotypes without the Hardy-Weinberg equilibrium assumption by introducing a novel concept called conditional mating type between marry-in founders and their nonfounder spouses. Further, a logit link is used to model the penetrance. To deal with the issue of incomplete pedigree genotypic data, LIME imputes the unobserved genotypes implicitly by considering all compatible ones conditional on the observed genotypes. We carried out a simulation study to evaluate the relative power and type I error of LIME and two existing methods. The results show that the use of extended pedigree data, even with incomplete information, can achieve much greater power than using nuclear families for detecting imprinting and in utero maternal effects without leading to inflated type I error rates.
© 2011, The International Biometric Society.

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Mesh:

Year:  2011        PMID: 22008205     DOI: 10.1111/j.1541-0420.2011.01695.x

Source DB:  PubMed          Journal:  Biometrics        ISSN: 0006-341X            Impact factor:   2.571


  6 in total

1.  A powerful association test for qualitative traits incorporating imprinting effects using general pedigree data.

Authors:  Ji-Yuan Zhou; Hai-Qiang He; Xiao-Ping You; Shao-Zhan Li; Ping-Yan Chen; Wing Kam Fung
Journal:  J Hum Genet       Date:  2014-12-18       Impact factor: 3.172

2.  Joint detection of association, imprinting and maternal effects using all children and their parents.

Authors:  Miao Han; Yue-Qing Hu; Shili Lin
Journal:  Eur J Hum Genet       Date:  2013-03-27       Impact factor: 4.246

3.  Nonparametric method for detecting imprinting effect using all members of general pedigrees with missing data.

Authors:  Fangyuan Zhang; Shili Lin
Journal:  J Hum Genet       Date:  2014-08-14       Impact factor: 3.172

4.  X-chromosome genetic association test incorporating X-chromosome inactivation and imprinting effects.

Authors:  Wei Liu; Bei-Qi Wang; Guojun Liu-Fu; Wing Kam Fung; Ji-Yuan Zhou
Journal:  J Genet       Date:  2019-11       Impact factor: 1.166

5.  A Family-Based Rare Haplotype Association Method for Quantitative Traits.

Authors:  Ananda S Datta; Shili Lin; Swati Biswas
Journal:  Hum Hered       Date:  2019-02-21       Impact factor: 0.444

6.  Detection of imprinting effects for hypertension based on general pedigrees utilizing all affected and unaffected individuals.

Authors:  Fangyuan Zhang; Shili Lin
Journal:  BMC Proc       Date:  2014-06-17
  6 in total

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