Evidence map›Paper›PMID 24810915›Full record

ArticlePLoS genetics2014

Genetic dissection of the Drosophila melanogaster female head transcriptome reveals widespread allelic heterogeneity.

Elizabeth G King, Brian J Sanderson, Casey L McNeil, Anthony D Long, Stuart J Macdonald

Abstract read
In one paragraph

Article in PLoS genetics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.

0numbers the graph read from it
0cells of the map it votes in
45citing 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

45 citing papers in PubMed.

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  20. A major role for noncoding regulatory mutations in the evolution of enzyme activity.Proceedings of the National Academy of Sciences of the United States of America · 2019
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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

5 authors.

Elizabeth G KingDepartment of Ecology and Evolutionary Biology, University of California Irvine, Irvine, California, United States of America.
Brian J SandersonDepartment of Molecular Biosciences, University of Kansas, Lawrence, Kansas, United States of America.
Casey L McNeilDepartment of Biology, Newman University, Wichita, Kansas, United States of America.
Anthony D LongDepartment of Ecology and Evolutionary Biology, University of California Irvine, Irvine, California, United States of America.
Stuart J MacdonaldDepartment of Molecular Biosciences, University of Kansas, Lawrence, Kansas, United States of America.

Funding

A resource for the genetic analysis of complex traitsR01OD010974 · OD · UNIVERSITY OF KANSAS LAWRENCE · PI LONG, ANTHONY DOUGLAS, MACDONALD, STUART JOHN · 2012 to 2019
$3.1M
A resource for the genetic analysis of complex traitsR01RR024862 · NCRR · UNIVERSITY OF KANSAS LAWRENCE · PI MACDONALD, STUART JOHN · 2008 to 2011
$2.5M
The genetics of the Drosophila IIS pathway response to changing nutritionF32GM099382 · NIGMS · UNIVERSITY OF CALIFORNIA-IRVINE · PI KING, ELIZABETH GRIEP · 2012 to 2013
$90k
NCRR NIH HHS R01 RR024862NIGMS NIH HHS F32 GM099382NIH HHS NIH R01 RR024862/OD010974NIH HHS R01 OD010974
6 · The paper itself

Abstract

Modern genetic mapping is plagued by the "missing heritability" problem, which refers to the discordance between the estimated heritabilities of quantitative traits and the variance accounted for by mapped causative variants. One major potential explanation for the missing heritability is allelic heterogeneity, in which there are multiple causative variants at each causative gene with only a fraction having been identified. The majority of genome-wide association studies (GWAS) implicitly assume that a single SNP can explain all the variance for a causative locus. However, if allelic heterogeneity is prevalent, a substantial amount of genetic variance will remain unexplained. In this paper, we take a haplotype-based mapping approach and quantify the number of alleles segregating at each locus using a large set of 7922 eQTL contributing to regulatory variation in the Drosophila melanogaster female head. Not only does this study provide a comprehensive eQTL map for a major community genetic resource, the Drosophila Synthetic Population Resource, but it also provides a direct test of the allelic heterogeneity hypothesis. We find that 95% of cis-eQTLs and 78% of trans-eQTLs are due to multiple alleles, demonstrating that allelic heterogeneity is widespread in Drosophila eQTL. Allelic heterogeneity likely contributes significantly to the missing heritability problem common in GWAS studies.

Indexed as

AllelesGenetic HeterogeneityTranscriptomeAnimalsDrosophila melanogasterFemaleQuantitative Trait Loci

Identifiers

PMID24810915
PMCPMC4014434

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.