ArticleAmerican journal of human genetics2003
Fine-scale mapping of disease genes with multiple mutations via spatial clustering techniques.
Article in American journal of human genetics, 2003. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.
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Who cites it
39 citing papers in PubMed.
- Reflections on the Field of Human Genetics: A Call for Increased Disease Genetics Theory.Frontiers in genetics · 2016Article
- Detecting associations of rare variants with common diseases: collapsing or haplotyping?Briefings in bioinformatics · 2015Article
- Imputation without doing imputation: a new method for the detection of non-genotyped causal variants.Genetic epidemiology · 2014Article
- Haplotype kernel association test as a powerful method to identify chromosomal regions harboring uncommon causal variants.Genetic epidemiology · 2013Article
- Gene genealogies for genetic association mapping, with application to Crohn's disease.Frontiers in genetics · 2013Article
- Environmental epigenetics: prospects for studying epigenetic mediation of exposure-response relationships.Human genetics · 2012Review
- Article
- A novel approach for haplotype-based association analysis using family data.BMC bioinformatics · 2010Article
- SHARE: an adaptive algorithm to select the most informative set of SNPs for candidate genetic association.Biostatistics (Oxford, England) · 2009Article
- A regression-based association test for case-control studies that uses inferred ancestral haplotype similarity.Annals of human genetics · 2009Article
- Generalized linear modeling with regularization for detecting common disease rare haplotype association.Genetic epidemiology · 2009Article
- A fast algorithm for genome-wide haplotype pattern mining.BMC bioinformatics · 2009Article
- Association mapping by generalized linear regression with density-based haplotype clustering.Genetic epidemiology · 2009Article
- hapConstructor: automatic construction and testing of haplotypes in a Monte Carlo framework.Bioinformatics (Oxford, England) · 2008Article
- ESR1 and EGF genetic variation in relation to breast cancer risk and survival.Breast cancer research : BCR · 2008Article
- Genetic association mapping via evolution-based clustering of haplotypes.PLoS genetics · 2007Article
- Association mapping via regularized regression analysis of single-nucleotide-polymorphism haplotypes in variable-sized sliding windows.American journal of human genetics · 2007Article
- Incorporating single-locus tests into haplotype cladistic analysis in case-control studies.PLoS genetics · 2007Article
- Fine-scale linkage disequilibrium mapping: a comparison of coalescent-based and haplotype-clustering-based methods.BMC proceedings · 2007Article
- Cladistic analysis of genotype data-application to GAW15 Problem 3.BMC proceedings · 2007Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
We present a method to perform fine mapping by placing haplotypes into clusters on the basis of risk. Each cluster has a haplotype "center." Cluster allocation is defined according to haplotype centers, with each haplotype assigned to the cluster with the "closest" center. The closeness of two haplotypes is determined by a similarity metric that measures the length of the shared segment around the location of a putative functional mutation for the particular cluster. Our method allows for missing marker information but still estimates the risks of complete haplotypes without resorting to a one-marker-at-a-time analysis. The dimensionality issues that can occur in haplotype analyses are removed by sampling over the haplotype space, allowing for estimation of haplotype risks without explicitly assigning a parameter to each haplotype to be estimated. In this way, we are able to handle haplotypes of arbitrary size. Furthermore, our clustering approach has the potential to allow us to detect the presence of multiple functional mutations.
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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.