Evidence map›Paper›PMID 27908293›Full record

ArticleGenome biology2016

Autosomal genetic control of human gene expression does not differ across the sexes.

Irfahan Kassam, Luke Lloyd-Jones, Alexander Holloway, Kerrin S Small, Biao Zeng, Andrew Bakshi, Andres Metspalu, Greg Gibson, Tim D Spector, Tonu Esko and 5 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Genome biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.1field-weighted citation impact, top 11% 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

13 citing papers in PubMed, 18 citations in OpenAlex.

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  12. Genetic constraints on microevolutionary divergence of sex-biased gene expression.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2018
    Article
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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

15 authors at 6 institutions in 4 countries.

Irfahan KassamQueensland Brain Institute, The University of Queensland, Brisbane, Australia. i.kassam@uq.edu.au.ORCID 0000-0002-6150-5614
Luke Lloyd-JonesQueensland Brain Institute, The University of Queensland, Brisbane, Australia.
Alexander HollowayQueensland Brain Institute, The University of Queensland, Brisbane, Australia.
Kerrin S SmallDepartment of Twin Research and Genetic Epidemiology, King's College London, London, UK.
Biao ZengSchool of Biology and Centre for Integrative Genomics, Georgia Institute of Technology, Atlanta, USA.
Andrew BakshiQueensland Brain Institute, The University of Queensland, Brisbane, Australia.
Andres MetspaluEstonian Genome Centre, University of Tartu, Tartu, Estonia.
Greg GibsonSchool of Biology and Centre for Integrative Genomics, Georgia Institute of Technology, Atlanta, USA.
Tim D SpectorDepartment of Twin Research and Genetic Epidemiology, King's College London, London, UK.
Tonu EskoEstonian Genome Centre, University of Tartu, Tartu, Estonia.
Grant W MontgomeryInstitute for Molecular Bioscience, University of Queensland, Brisbane, Australia.
Joseph E PowellQueensland Brain Institute, The University of Queensland, Brisbane, Australia.
Jian YangQueensland Brain Institute, The University of Queensland, Brisbane, Australia.
Peter M VisscherQueensland Brain Institute, The University of Queensland, Brisbane, Australia.
Allan F McRaeQueensland Brain Institute, The University of Queensland, Brisbane, Australia.
The University of Queensland · AUGeorgia Institute of Technology · USKing's College London · GBUniversity of Tartu · EEQueensland University of Technology · AUTranslational Research Institute · AU

Funding

Statistical Methods for X-Chromosome Genetic DataP01GM099568 · NIGMS · UNIVERSITY OF WASHINGTON · PI WEIR, BRUCE S. · 2012 to 2016
$7.3M
NIGMS NIH HHS P01 GM099568
6 · The paper itself

Abstract

backgroundDespite their nearly identical genomes, males and females differ in risk, incidence, prevalence, severity and age-at-onset of many diseases. Sexual dimorphism is also seen in human autosomal gene expression, and has largely been explored by examining the contribution of genotype-by-sex interactions to variation in gene expression.

resultsIn this study, we use data from a mixture of pedigree and unrelated individuals with verified European ancestry to investigate the sex-specific genetic architecture of gene expression measured in whole blood across n=1048 males and n=1005 females by treating gene expression intensities in the sexes as two distinct traits and estimating the genetic correlation (r

conclusionsThese results suggest that males and females share the same common genetic control of gene expression.

Indexed as

GenotypeSex CharacteristicsFemaleGene Expression RegulationHumansMalePedigreePhenotypePolymorphism, Single NucleotideWhite PeopleGene expressionGenetic correlationSex-specific genetic architecture

Identifiers

PMID27908293
PMCPMC5134098
OpenAlexW2559451925

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.