Evidence map›Paper›PMID 25479423›Full record

ArticlePloS one2014

Accounting for eXentricities: analysis of the X chromosome in GWAS reveals X-linked genes implicated in autoimmune diseases.

Diana Chang, Feng Gao, Andrea Slavney, Li Ma, Yedael Y Waldman, Aaron J Sams, Paul Billing-Ross, Aviv Madar, Richard Spritz, Alon Keinan

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 74 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
74citing papers in PubMed, 8 pooled it
4.8field-weighted citation impact, top 4% 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

74 citing papers in PubMed, 8 syntheses or guidelines pooled it, 124 citations in OpenAlex.

  1. Pooled it
  2. X-linked genetic associations in sporadic thoracic aortic dissection.American journal of medical genetics. Part A · 2024
    Pooled it
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  5. The association ofBioscience reports · 2019
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14 more citing papers are in PubMed but not listed here.

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

10 authors at 3 institutions in 1 country.

Diana ChangDepartment of Biological Statistics and Computational Biology, Cornell University, Ithaca, New York, United States of America; Program in Computational Biology and Medicine, Cornell University, Ithaca, New York, United States of America.
Feng GaoDepartment of Biological Statistics and Computational Biology, Cornell University, Ithaca, New York, United States of America.
Andrea SlavneyDepartment of Biological Statistics and Computational Biology, Cornell University, Ithaca, New York, United States of America; Graduate Field of Genetics, Genomics and Development, Cornell University, Ithaca, New York, United States of America.
Li MaDepartment of Biological Statistics and Computational Biology, Cornell University, Ithaca, New York, United States of America; Department of Animal and Avian Sciences, University of Maryland, College Park, Maryland, United States of America.
Yedael Y WaldmanDepartment of Biological Statistics and Computational Biology, Cornell University, Ithaca, New York, United States of America.
Aaron J SamsDepartment of Biological Statistics and Computational Biology, Cornell University, Ithaca, New York, United States of America.
Paul Billing-RossDepartment of Biological Statistics and Computational Biology, Cornell University, Ithaca, New York, United States of America; Graduate Field of Genetics, Genomics and Development, Cornell University, Ithaca, New York, United States of America.
Aviv MadarDepartment of Biological Statistics and Computational Biology, Cornell University, Ithaca, New York, United States of America.
Richard SpritzHuman Medical Genetics and Genomics Program, University of Colorado School of Medicine, Aurora, Colorado, United States of America.
Alon KeinanDepartment of Biological Statistics and Computational Biology, Cornell University, Ithaca, New York, United States of America; Program in Computational Biology and Medicine, Cornell University, Ithaca, New York, United States of America; Graduate Field of Genetics, Genomics and Development, Cornell University, Ithaca, New York, United States of America.
Cornell University · USUniversity of Colorado Denver · USUniversity of Maryland, College Park · US

Funding

The X-factor of complex disease: From population genetics to GWAS of Chromosome XR01HG006849 · NHGRI · CORNELL UNIVERSITY · PI CLARK, ANDREW G · 2013 to 2020
$2.3M
NHGRI NIH HHS R01 HG006849NHGRI NIH HHS R01HG006849Wellcome Trust
6 · The paper itself

Abstract

Many complex human diseases are highly sexually dimorphic, suggesting a potential contribution of the X chromosome to disease risk. However, the X chromosome has been neglected or incorrectly analyzed in most genome-wide association studies (GWAS). We present tailored analytical methods and software that facilitate X-wide association studies (XWAS), which we further applied to reanalyze data from 16 GWAS of different autoimmune and related diseases (AID). We associated several X-linked genes with disease risk, among which (1) ARHGEF6 is associated with Crohn's disease and replicated in a study of ulcerative colitis, another inflammatory bowel disease (IBD). Indeed, ARHGEF6 interacts with a gastric bacterium that has been implicated in IBD. (2) CENPI is associated with three different AID, which is compelling in light of known associations with AID of autosomal genes encoding centromere proteins, as well as established autosomal evidence of pleiotropy between autoimmune diseases. (3) We replicated a previous association of FOXP3, a transcription factor that regulates T-cell development and function, with vitiligo; and (4) we discovered that C1GALT1C1 exhibits sex-specific effect on disease risk in both IBDs. These and other X-linked genes that we associated with AID tend to be highly expressed in tissues related to immune response, participate in major immune pathways, and display differential gene expression between males and females. Combined, the results demonstrate the importance of the X chromosome in autoimmunity, reveal the potential of extensive XWAS, even based on existing data, and provide the tools and incentive to properly include the X chromosome in future studies.

Indexed as

Genetic Predisposition to DiseaseGenome-Wide Association StudySex CharacteristicsChromosomes, Human, XColitis, UlcerativeCrohn DiseaseDNA-Binding ProteinsFemaleHumansMaleMolecular ChaperonesRho Guanine Nucleotide Exchange FactorsSoftwareARHGEF6 protein, humanC1GALT1C1 protein, humanCENPI protein, humanDNA-Binding ProteinsMolecular ChaperonesRho Guanine Nucleotide Exchange Factors

Identifiers

PMID25479423
PMCPMC4257614
OpenAlexW2949717842

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.