ArticlePloS one2013
Region-based association analysis of human quantitative traits in related individuals.
Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 2 of them syntheses that pooled it.
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Who cites it
23 citing papers in PubMed, 2 syntheses or guidelines pooled it, 31 citations in OpenAlex.
- Associations of autozygosity with a broad range of human phenotypes.Nature communications · 2019Pooled it
- A Genome-Wide Association Study in isolated populations reveals new genes associated to common food likings.Reviews in endocrine & metabolic disorders · 2016Pooled it
- Genetic and phenotypic links between obesity and extracellular vesicles.Human molecular genetics · 2022Article
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- Bipolar multiplex families have an increased burden of common risk variants for psychiatric disorders.Molecular psychiatry · 2021Article
- A generalized model for combining dependent SNP-level summary statistics and its extensions to statistics of other levels.Scientific reports · 2019Article
- Haplotype Heritability Mapping Method Uncovers Missing Heritability of Complex Traits.Scientific reports · 2018Article
- Article
- On the impact of relatedness on SNP association analysis.BMC genetics · 2017Article
- Multivariate discovery and replication of five novel loci associated with Immunoglobulin G N-glycosylation.Nature communications · 2017Article
- Genetic Regulation of Transcriptional Variation in Natural Arabidopsis thaliana Accessions.G3 (Bethesda, Md.) · 2016Article
- Regional heritability mapping method helps explain missing heritability of blood lipid traits in isolated populations.Heredity · 2016Article
- The GenABEL Project for statistical genomics.F1000Research · 2016Article
- Genome-wide association analysis on five isolated populations identifies variants of the HLA-DOA gene associated with white wine liking.European journal of human genetics : EJHG · 2015Article
- The Multi-allelic Genetic Architecture of a Variance-Heterogeneity Locus for Molybdenum Concentration in Leaves Acts as a Source of Unexplained Additive Genetic Variance.PLoS genetics · 2015Article
- Article
- Connecting Anxiety and Genomic Copy Number Variation: A Genome-Wide Analysis in CD-1 Mice.PloS one · 2015Article
- Article
- A family-based joint test for mean and variance heterogeneity for quantitative traits.Annals of human genetics · 2015Article
- A Multi-Breed Genome-Wide Association Analysis for Canine Hypothyroidism Identifies a Shared Major Risk Locus on CFA12.PloS one · 2015Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Regional-based association analysis instead of individual testing of each SNP was introduced in genome-wide association studies to increase the power of gene mapping, especially for rare genetic variants. For regional association tests, the kernel machine-based regression approach was recently proposed as a more powerful alternative to collapsing-based methods. However, the vast majority of existing algorithms and software for the kernel machine-based regression are applicable only to unrelated samples. In this paper, we present a new method for the kernel machine-based regression association analysis of quantitative traits in samples of related individuals. The method is based on the GRAMMAR+ transformation of phenotypes of related individuals, followed by use of existing kernel machine-based regression software for unrelated samples. We compared the performance of kernel-based association analysis on the material of the Genetic Analysis Workshop 17 family sample and real human data by using our transformation, the original untransformed trait, and environmental residuals. We demonstrated that only the GRAMMAR+ transformation produced type I errors close to the nominal value and that this method had the highest empirical power. The new method can be applied to analysis of related samples by using existing software for kernel-based association analysis developed for unrelated samples.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.