Evidence map›Paper›PMID 16545150›Full record

ArticleGenetical research2006

Bayesian analyses of multiple epistatic QTL models for body weight and body composition in mice.

Nengjun Yi, Denise K Zinniel, Kyoungmi Kim, Eugene J Eisen, Alfred Bartolucci, David B Allison, Daniel Pomp

Open access · bronzeAbstract read
In one paragraph

Article in Genetical research, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
4.1field-weighted citation impact, top 6% of its field
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

23 citing papers in PubMed, 42 citations in OpenAlex.

  1. Genetic Bases of Complex Traits: From Quantitative Trait Loci to Prediction.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
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  4. A pronounced evolutionary shift of the pseudoautosomal region boundary in house mice.Mammalian genome : official journal of the International Mammalian Genome Society · 2012
    Article
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  7. Dissection of QTL effects for root traits using a chromosome arm-specific mapping population in bread wheat.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2011
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  17. Genotype X diet interactions in mice predisposed to mammary cancer. I. Body weight and fat.Mammalian genome : official journal of the International Mammalian Genome Society · 2008
    Article
  18. Review
  19. Genetic loci affecting body weight and fatness in a C57BL/6J x PWK/PhJ mouse intercross.Mammalian genome : official journal of the International Mammalian Genome Society · 2007
    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

7 authors at 5 institutions in 1 country.

Nengjun YiDepartment of Biostatistics, Section on Statistical Genetics, University of Alabama, Birmingham, AL 35294, USA.
Denise K Zinniel
Kyoungmi Kim
Eugene J Eisen
Alfred Bartolucci
David B Allison
Daniel Pomp
University of Alabama · USUniversity of Alabama at Birmingham · USNorth Carolina State University · USUniversity of Nebraska–Lincoln · USUniversity of North Carolina at Chapel Hill · US

Funding

Why is the prevalence of obesity so high in U.S. Southern States? Regional predictors of BMI and obesity treatment response.P30DK056336 · NIDDK · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI James O Hill · 2000 to 2026
$31.9M
Positional Gene Identification of Complex TraitsR01ES009912 · NIEHS · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI AMOS, CHRISTOPHER I. · 1999 to 2006
$3.3M
Bayesian Methods for Mapping Complex Epistatic GenesR01GM069430 · NIGMS · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI YI, NENGJUN · 2005 to 2013
$2.3M
STATISTICAL GENETICS FOR OBESITY &NUTRITION RESEARCHERSR01DK056366 · NIDDK · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI ALLISON, DAVID B · 2000 to 2004
$561k
Statistical Genetics for Obesity &Nutrition ResearchersR56DK056366 · NIDDK · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI ALLISON, DAVID B · 2005 to 2005
$81k
NIDDK NIH HHS DK056336NIDDK NIH HHS DK056366NIDDK NIH HHS P30 DK056336NIDDK NIH HHS R01 DK056366NIDDK NIH HHS R56 DK056366NIEHS NIH HHS ES09912NIEHS NIH HHS R01 ES009912NIGMS NIH HHS GM069430NIGMS NIH HHS R01 GM069430
6 · The paper itself

Abstract

To comprehensively investigate the genetic architecture of growth and obesity, we performed Bayesian analyses of multiple epistatic quantitative trait locus (QTL) models for body weights at five ages (12 days, 3, 6, 9 and 12 weeks) and body composition traits (weights of two fat pads and five organs) in mice produced from a cross of the F1 between M16i (selected for rapid growth rate) and CAST/Ei (wild-derived strain of small and lean mice) back to M16i. Bayesian model selection revealed a temporally regulated network of multiple QTL for body weight, involving both strong main effects and epistatic effects. No QTL had strong support for both early and late growth, although overlapping combinations of main and epistatic effects were observed at adjacent ages. Most main effects and epistatic interactions had an opposite effect on early and late growth. The contribution of epistasis was more pronounced for body weights at older ages. Body composition traits were also influenced by an interacting network of multiple QTLs. Several main and epistatic effects were shared by the body composition and body weight traits, suggesting that pleiotropy plays an important role in growth and obesity.

Indexed as

Bayes TheoremEpistasis, GeneticQuantitative Trait LociAnimalsBody CompositionBody WeightMiceMice, Inbred ICRMice, Inbred StrainsModels, Genetic

Identifiers

PMID16545150
PMCPMC5002393
OpenAlexW2133301077

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.