ArticleBMC genetics2005
Haplotype-sharing analysis using Mantel statistics for combined genetic effects.
Article in BMC genetics, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 10 citations in OpenAlex.
- Efficient QTL detection of flowering date in a soybean RIL population using the novel restricted two-stage multi-locus GWAS procedure.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2018Article
- Assessing gene-environment interactions for common and rare variants with binary traits using gene-trait similarity regression.Genetics · 2015Article
- Analysis of gene-gene interactions using gene-trait similarity regression.Human heredity · 2014Article
- Article
- Review and evaluation of methods correcting for population stratification with a focus on underlying statistical principles.Human heredity · 2008Review
- Incorporating single-locus tests into haplotype cladistic analysis in case-control studies.PLoS genetics · 2007Article
- A graphical assessment of p-values from sliding window haplotype tests of association to identify asthma susceptibility loci on chromosome 11q.BMC genetics · 2006Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We applied a new approach based on Mantel statistics to analyze the Genetic Analysis Workshop 14 simulated data with prior knowledge of the answers. The method was developed in order to improve the power of a haplotype sharing analysis for gene mapping in complex disease. The new statistic correlates genetic similarity and phenotypic similarity across pairs of haplotypes from case-control studies. The genetic similarity is measured as the shared length between haplotype pairs around a genetic marker. The phenotypic similarity is measured as the mean corrected cross-product based on the respective phenotypes. Cases with phenotype P1 and unrelated controls were drawn from the population of Danacaa. Power to detect main effects was compared to the X2-test for association based on 3-marker haplotypes and a global permutation test for haplotype association to test for main effects. Power to detect gene x gene interaction was compared to unconditional logistic regression. The results suggest that the Mantel statistics might be more powerful than alternative tests.
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Registered trials
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