ArticleAmerican journal of human genetics1999
Testing the robustness of the likelihood-ratio test in a variance-component quantitative-trait loci-mapping procedure.
Article in American journal of human genetics, 1999. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 91 papers.
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Who cites it
91 citing papers in PubMed.
- A genome scan in multigenerational families with dyslexia: Identification of a novel locus on chromosome 2q that contributes to phonological decoding efficiency.Molecular psychiatry · 2005Trial
- A genome scan and follow-up study identify a bipolar disorder susceptibility locus on chromosome 1q42.Molecular psychiatry · 2004Trial
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- Fast and powerful genome wide association of dense genetic data with high dimensional imaging phenotypes.Nature communications · 2018Article
- Sequential recruitment of study participants may inflate genetic heritability estimates.Human genetics · 2017Article
- Prognostic and Predictive Values and Statistical Interactions in the Era of Targeted Treatment.Genetic epidemiology · 2015Article
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- Genome wide association and linkage analyses identified three loci-4q25, 17q23.2, and 10q11.21-associated with variation in leukocyte telomere length: the Long Life Family Study.Frontiers in genetics · 2013Article
- A generalized Defries-Fulker regression framework for the analysis of twin data.Behavior genetics · 2013Article
- QTL mapping reveals the genetic architecture of loci affecting pre- and post-zygotic isolating barriers in Louisiana Iris.BMC plant biology · 2012Article
- Evaluation of a bayesian model integration-based method for censored data.Human heredity · 2012Article
- Sex-specific regulation of mitochondrial DNA levels: genome-wide linkage analysis to identify quantitative trait loci.PloS one · 2012Article
- Genetic susceptibility to dental caries on pit and fissure and smooth surfaces.Caries research · 2012Article
- Genetic covariation underlying reading, language and related measures in a sample selected for specific language impairment.Behavior genetics · 2011Article
- Heritability of cognitive functions in families of successful cognitive aging probands from the Central Valley of Costa Rica.Journal of Alzheimer's disease : JAD · 2011Article
- A genome-wide linkage study of mammographic density, a risk factor for breast cancer.Breast cancer research : BCR · 2011Article
- Cortical thickness or grey matter volume? The importance of selecting the phenotype for imaging genetics studies.NeuroImage · 2010Article
- Localization of genes for V+LDL plasma cholesterol levels on two diets in the opossum Monodelphis domestica.Journal of lipid research · 2010Article
31 more citing papers are in PubMed but not listed here.
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6 authors.
Funding
Abstract
Detection of linkage to genes for quantitative traits remains a challenging task. Recently, variance components (VC) techniques have emerged as among the more powerful of available methods. As often implemented, such techniques require assumptions about the phenotypic distribution. Usually, multivariate normality is assumed. However, several factors may lead to markedly nonnormal phenotypic data, including (a) the presence of a major gene (not necessarily linked to the markers under study), (b) some types of gene x environment interaction, (c) use of a dichotomous phenotype (i.e., affected vs. unaffected), (d) nonnormality of the population within-genotype (residual) distribution, and (e) selective (extreme) sampling. Using simulation, we have investigated, for sib-pair studies, the robustness of the likelihood-ratio test for a VC quantitative-trait locus-detection procedure to violations of normality that are due to these factors. Results showed (a) that some types of nonnormality, such as leptokurtosis, produced type I error rates in excess of the nominal, or alpha, levels whereas others did not; and (b) that the degree of type I error-rate inflation appears to be directly related to the residual sibling correlation. Potential solutions to this problem are discussed. Investigators contemplating use of this VC procedure are encouraged to provide evidence that their trait data are normally distributed, to employ a procedure that allows for nonnormal data, or to consider implementation of permutation tests.
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