Evidence map›Paper›PMID 18416828›Full record

ArticleMolecular pain2008

A computational model for sex-specific genetic architecture of complex traits in humans: implications for mapping pain sensitivity.

Chenguang Wang, Yun Cheng, Tian Liu, Qin Li, Roger B Fillingim, Margaret R Wallace, Roland Staud, Lee Kaplan, Rongling Wu

Abstract read
In one paragraph

Article in Molecular pain, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Trial
  2. Association of genetic variation inJournal of pain research · 2018
    Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Risk haplotype analysis for bovine paratuberculosis.Mammalian genome : official journal of the International Mammalian Genome Society · 2009
    Article
  8. Review
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

9 authors.

Chenguang WangDepartment of Statistics, University of Florida, Gainesville, FL 32611 USA. cgwang@cog.ufl.edu
Yun Cheng
Tian Liu
Qin Li
Roger B Fillingim
Margaret R Wallace
Roland Staud
Lee Kaplan
Rongling Wu

Funding

Risk Factors for Onset and Persistence of TMDU01DE017018 · NIDCR · UNIV OF NORTH CAROLINA CHAPEL HILL · PI DIATCHENKO, LUDA, FILLINGIM, ROGER B · 2005 to 2016
$35.9M
Sex-Related Genetic Influences on Pain and AnalgesiaR01NS041670 · NINDS · UNIVERSITY OF FLORIDA · PI FILLINGIM, ROGER B · 2000 to 2009
$4.4M
NIDCR NIH HHS U01 DE017018NINDS NIH HHS R01 NS041670NINDS NIH HHS R01 NS041670-05A1PHS HHS 0540745
6 · The paper itself

Abstract

Understanding differences in the genetic architecture of complex traits between the two sexes has significant implications for evolutionary studies and clinical diagnosis. However, our knowledge about sex-specific genetic architecture is limited largely because of a lack of analytical models that can detect and quantify the effects of sex on the complexity of quantitative genetic variation. Here, we derived a statistical model for mapping DNA sequence variants that contribute to sex-specific differences in allele frequencies, linkage disequilibria, and additive and dominance genetic effects due to haplotype diversity. This model allows a genome-wide search for functional haplotypes and the estimation and test of haplotype by sex interactions and sex-specific heritability. The model, validated by simulation studies, was used to detect sex-specific functional haplotypes that encode a pain sensitivity trait in humans. The model could have important implications for mapping complex trait genes and studying the detailed genetic architecture of sex-specific differences.

Indexed as

Models, GeneticPain ThresholdQuantitative Trait, HeritableSex CharacteristicsFemaleGenetic VariationHumansMaleModels, StatisticalPolymorphism, Single Nucleotide

Identifiers

PMID18416828
PMCPMC2422840

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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.