ArticlePloS one2011
A statistical design for testing transgenerational genomic imprinting in natural human populations.
Article in PloS one, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Nonparametric method for detecting imprinting effect using all members of general pedigrees with missing data.Journal of human genetics · 2014Article
- Towards a comprehensive picture of the genetic landscape of complex traits.Briefings in bioinformatics · 2014Article
- Stochastic modeling of systems mapping in pharmacogenomics.Advanced drug delivery reviews · 2013Article
- Estimating single nucleotide polymorphism associations using pedigree data: applications to breast cancer.British journal of cancer · 2013Article
- A quantitative genetic and epigenetic model of complex traits.BMC bioinformatics · 2012Article
- Dynamic modeling of genes controlling cancer stem cell proliferation.Frontiers in genetics · 2012Article
Corrections and comments
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Authors and funding
7 authors.
Funding
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Abstract
Genomic imprinting is a phenomenon in which the same allele is expressed differently, depending on its parental origin. Such a phenomenon, also called the parent-of-origin effect, has been recognized to play a pivotal role in embryological development and pathogenesis in many species. Here we propose a statistical design for detecting imprinted loci that control quantitative traits based on a random set of three-generation families from a natural population in humans. This design provides a pathway for characterizing the effects of imprinted genes on a complex trait or disease at different generations and testing transgenerational changes of imprinted effects. The design is integrated with population and cytogenetic principles of gene segregation and transmission from a previous generation to next. The implementation of the EM algorithm within the design framework leads to the estimation of genetic parameters that define imprinted effects. A simulation study is used to investigate the statistical properties of the model and validate its utilization. This new design, coupled with increasingly used genome-wide association studies, should have an immediate implication for studying the genetic architecture of complex traits in humans.
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