ArticleGenetics2005
Bayesian association-based fine mapping in small chromosomal segments.
Article in Genetics, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
20 citing papers in PubMed.
- BAYESIAN VARIABLE SELECTION IN A COX PROPORTIONAL HAZARDS MODEL WITH THE "SUM OF SINGLE EFFECTS" PRIOR.ArXiv · 2025Article
- A simple new approach to variable selection in regression, with application to genetic fine mapping.Journal of the Royal Statistical Society. Series B, Statistical methodology · 2020Article
- A novel linkage-disequilibrium corrected genomic relationship matrix for SNP-heritability estimation and genomic prediction.Heredity · 2018Article
- Prediction of complex human diseases from pathway-focused candidate markers by joint estimation of marker effects: case of chronic fatigue syndrome.Human genomics · 2015Article
- Swift block-updating EM and pseudo-EM procedures for Bayesian shrinkage analysis of quantitative trait loci.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2012Article
- Estimation of quantitative trait locus effects with epistasis by variational Bayes algorithms.Genetics · 2012Article
- Estimation of Gene Expression at Isoform Level from mRNA-Seq Data by Bayesian Hierarchical Modeling.Frontiers in genetics · 2012Article
- Review
- Article
- A bayesian mixed regression based prediction of quantitative traits from molecular marker and gene expression data.PloS one · 2011Article
- Bayesian multilocus association mapping on ordinal and censored traits and its application to the analysis of genetic variation among Oryza sativa L. germplasms.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2009Article
- Article
- Application of association mapping to understanding the genetic diversity of plant germplasm resources.International journal of plant genomics · 2008Article
- Mapping quantitative trait loci from a single-tail sample of the phenotype distribution including survival data.Genetics · 2007Article
- Imputation-based analysis of association studies: candidate regions and quantitative traits.PLoS genetics · 2007Article
- Bayesian association mapping of multiple quantitative trait loci and its application to the analysis of genetic variation among Oryza sativa L. germplasms.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2007Article
- Association mapping through heuristic evolutionary history reconstruction-application to GAW15 Problem 3.BMC proceedings · 2007Article
- Association mapping of complex trait loci with context-dependent effects and unknown context variable.Genetics · 2006Article
- Association mapping with single-feature polymorphisms.Genetics · 2006Article
- A logistic regression mixture model for interval mapping of genetic trait loci affecting binary phenotypes.Genetics · 2006Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A Bayesian method for fine mapping is presented, which deals with multiallelic markers (with two or more alleles), unknown phase, missing data, multiple causal variants, and both continuous and binary phenotypes. We consider small chromosomal segments spanned by a dense set of closely linked markers and putative genes only at marker points. In the phenotypic model, locus-specific indicator variables are used to control inclusion in or exclusion from marker contributions. To account for covariance between consecutive loci and to control fluctuations in association signals along a candidate region we introduce a joint prior for the indicators that depends on genetic or physical map distances. The potential of the method, including posterior estimation of trait-associated loci, their effects, linkage disequilibrium pattern due to close linkage of loci, and the age of a causal variant (time to most recent common ancestor), is illustrated with the well-known cystic fibrosis and Friedreich ataxia data sets by assuming that haplotypes were not available. In addition, simulation analysis with large genetic distances is shown. Estimation of model parameters is based on Markov chain Monte Carlo (MCMC) sampling and is implemented using WinBUGS. The model specification code is freely available for research purposes from http://www.rni.helsinki.fi/~mjs/.
Indexed as
Identifiers
What OpenQuestion holds
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.