Evidence map›Paper›PMID 18689903›Full record

ArticleGenetics2008

Bayesian quantitative trait loci mapping for multiple traits.

Samprit Banerjee, Brian S Yandell, Nengjun Yi

Abstract read
In one paragraph

Article in Genetics, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

40 citing papers in PubMed.

  1. Article
  2. Article
  3. Genetic Bases of Complex Traits: From Quantitative Trait Loci to Prediction.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  4. Article
  5. Comparison ofFrontiers in genetics · 2019
    Article
  6. Article
  7. Article
  8. A rare-variant test for high-dimensional data.European journal of human genetics : EJHG · 2017
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Samprit BanerjeeDepartments of Biostatistics, Section on Statistical Genetics, University of Alabama, Birmingham, AL 35294, USA.
Brian S Yandell
Nengjun Yi

Funding

Bayesian Methods for Mapping Complex Epistatic GenesR01GM069430 · NIGMS · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI YI, NENGJUN · 2005 to 2013
$2.3M
NIGMS NIH HHS R01 GM069430PHS HHS 5803701PHS HHS 66369-01PHS HHS R01 PA-02-110
6 · The paper itself

Abstract

Most quantitative trait loci (QTL) mapping experiments typically collect phenotypic data on multiple correlated complex traits. However, there is a lack of a comprehensive genomewide mapping strategy for correlated traits in the literature. We develop Bayesian multiple-QTL mapping methods for correlated continuous traits using two multivariate models: one that assumes the same genetic model for all traits, the traditional multivariate model, and the other known as the seemingly unrelated regression (SUR) model that allows different genetic models for different traits. We develop computationally efficient Markov chain Monte Carlo (MCMC) algorithms for performing joint analysis. We conduct extensive simulation studies to assess the performance of the proposed methods and to compare with the conventional single-trait model. Our methods have been implemented in the freely available package R/qtlbim (http://www.qtlbim.org), which greatly facilitates the general usage of the Bayesian methodology for unraveling the genetic architecture of complex traits.

Indexed as

Quantitative Trait LociAlgorithmsBayes TheoremChromosome MappingGenetic LinkageMarkov ChainsMonte Carlo Method

Identifiers

PMID18689903
PMCPMC2516097

What OpenQuestion holds

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Registered trials

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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.