ArticleAmerican journal of human genetics2004
Little loss of information due to unknown phase for fine-scale linkage-disequilibrium mapping with single-nucleotide-polymorphism genotype data.
Article in American journal of human genetics, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.
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Who cites it
27 citing papers in PubMed, 69 citations in OpenAlex.
- Modelling and visualizing fine-scale linkage disequilibrium structure.BMC bioinformatics · 2013Article
- Effect of gene-environment Interactions on mental development in African American, Dominican, and Caucasian mothers and newborns.Annals of human genetics · 2010Article
- The limits of fine-scale mapping.Genetic epidemiology · 2009Article
- Association mapping by generalized linear regression with density-based haplotype clustering.Genetic epidemiology · 2009Article
- Assessment of interactions between PAH exposure and genetic polymorphisms on PAH-DNA adducts in African American, Dominican, and Caucasian mothers and newborns.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2008Article
- Understanding the accuracy of statistical haplotype inference with sequence data of known phase.Genetic epidemiology · 2007Article
- Common variants in the BMP2, BMP4, and HJV genes of the hepcidin regulation pathway modulate HFE hemochromatosis penetrance.American journal of human genetics · 2007Article
- Power and precision of alternate methods for linkage disequilibrium mapping of quantitative trait loci.Genetics · 2007Article
- The use of inferred haplotypes in downstream analyses.American journal of human genetics · 2007Article
- Haplotype thinking in lung disease.Proceedings of the American Thoracic Society · 2007Review
- HaploRec: efficient and accurate large-scale reconstruction of haplotypes.BMC bioinformatics · 2006Article
- Mapping trait loci by use of inferred ancestral recombination graphs.American journal of human genetics · 2006Article
- Whole genome association mapping by incompatibilities and local perfect phylogenies.BMC bioinformatics · 2006Article
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- An empirical comparison of case-control and trio based study designs in high throughput association mapping.Journal of medical genetics · 2006Article
- Linkage disequilibrium interval mapping of quantitative trait loci.BMC genomics · 2006Article
- A comparison of phasing algorithms for trios and unrelated individuals.American journal of human genetics · 2006Article
- High-resolution association mapping of quantitative trait loci: a population-based approach.Genetics · 2006Article
- Comparison of genotype- and haplotype-based approaches for fine-mapping of alcohol dependence using COGA data.BMC genetics · 2005Article
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
Abstract
We present the results of a simulation study that indicate that true haplotypes at multiple, tightly linked loci often provide little extra information for linkage-disequilibrium fine mapping, compared with the information provided by corresponding genotypes, provided that an appropriate statistical analysis method is used. In contrast, a two-stage approach to analyzing genotype data, in which haplotypes are inferred and then analyzed as if they were true haplotypes, can lead to a substantial loss of information. The study uses our COLDMAP software for fine mapping, which implements a Markov chain-Monte Carlo algorithm that is based on the shattered coalescent model of genetic heterogeneity at a disease locus. We applied COLDMAP to 100 replicate data sets simulated under each of 18 disease models. Each data set consists of haplotype pairs (diplotypes) for 20 SNPs typed at equal 50-kb intervals in a 950-kb candidate region that includes a single disease locus located at random. The data sets were analyzed in three formats: (1). as true haplotypes; (2). as haplotypes inferred from genotypes using an expectation-maximization algorithm; and (3). as unphased genotypes. On average, true haplotypes gave a 6% gain in efficiency compared with the unphased genotypes, whereas inferring haplotypes from genotypes led to a 20% loss of efficiency, where efficiency is defined in terms of root mean integrated square error of the location of the disease locus. Furthermore, treating inferred haplotypes as if they were true haplotypes leads to considerable overconfidence in estimates, with nominal 50% credibility intervals achieving, on average, only 19% coverage. We conclude that (1). given appropriate statistical analyses, the costs of directly measuring haplotypes will rarely be justified by a gain in the efficiency of fine mapping and that (2). a two-stage approach of inferring haplotypes followed by a haplotype-based analysis can be very inefficient for fine mapping, compared with an analysis based directly on the genotypes.
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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.