Evidence map›Paper›PMID 25177340›Full record

ArticleFrontiers in genetics2014

Phenome-wide association studies demonstrating pleiotropy of genetic variants within FTO with and without adjustment for body mass index.

Robert M Cronin, Julie R Field, Yuki Bradford, Christian M Shaffer, Robert J Carroll, Jonathan D Mosley, Lisa Bastarache, Todd L Edwards, Scott J Hebbring, Simon Lin and 25 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed, 1 pooled it
5.4field-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

46 citing papers in PubMed, 1 synthesis or guideline pooled it, 76 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Technologies, strategies, and cautions when deconvoluting genome-wide association signals: FTO in focus.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2023
    Review
  6. Article
  7. Review
  8. Article
  9. Article
  10. Review
  11. Review
  12. Review
  13. Article
  14. PheMap: a multi-resource knowledge base for high-throughput phenotyping within electronic health records.Journal of the American Medical Informatics Association : JAMIA · 2020
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

35 authors at 13 institutions in 1 country.

Robert M CroninDepartment of Medicine, Vanderbilt University Nashville, TN, USA ; Department of Biomedical Informatics, Vanderbilt University Nashville, TN, USA.
Julie R FieldOffice of Research, Vanderbilt University Nashville, TN, USA.
Yuki BradfordDepartment of Molecular Physiology and Biophysics, Center for Human Genetics Research, Vanderbilt University Nashville, TN, USA.
Christian M ShafferDepartment of Molecular Physiology and Biophysics, Center for Human Genetics Research, Vanderbilt University Nashville, TN, USA.
Robert J CarrollDepartment of Medicine, Vanderbilt University Nashville, TN, USA.
Jonathan D MosleyDepartment of Medicine, Vanderbilt University Nashville, TN, USA ; Department of Pharmacology, Vanderbilt University Nashville, TN, USA.
Lisa BastaracheDepartment of Biomedical Informatics, Vanderbilt University Nashville, TN, USA.
Todd L EdwardsVanderbilt Epidemiology Center, Vanderbilt University Nashville, TN, USA.
Scott J HebbringCenter for Human Genetics, Marshfield Clinic Research Foundation Marshfield, WI, USA.
Simon LinBiomedical Informatics Research Center, Marshfield Clinic Research Foundation Marshfield, WI, USA.
Lucia A HindorffDivision of Genomic Medicine, National Human Genome Research Institute Bethesda, MD, USA.
Paul K CraneDepartment of Medicine, University of Washington Seattle, WA, USA.
Sarah A PendergrassDepartment of Biochemistry and Molecular Biology, Center for Systems Genomics, The Pennsylvania State University University Park, PA, USA.
Marylyn D RitchieDepartment of Biochemistry and Molecular Biology, Center for Systems Genomics, The Pennsylvania State University University Park, PA, USA.
Dana C CrawfordDepartment of Molecular Physiology and Biophysics, Center for Human Genetics Research, Vanderbilt University Nashville, TN, USA.
Jyotishman PathakDivisions of Biomedical Informatics and Statistics, Mayo Clinic Rochester, MN, USA.
Suzette J BielinskiDivision of Epidemiology, Mayo Clinic Rochester, MN, USA.
David S CarrellGroup Health Research Institute Seattle, WA, USA.
David R CrosslinDepartment of Genome Sciences, University of Washington Seattle, WA, USA.
David H LedbetterGenomic Medicine Institute, Geisinger Health System Danville, PA, USA.
David J CareyWeis Center for Research, Geisinger Health System Danville, PA, USA.
Gerard TrompWeis Center for Research, Geisinger Health System Danville, PA, USA.
Marc S WilliamsGenomic Medicine Institute, Geisinger Health System Danville, PA, USA.
Eric B LarsonGroup Health Research Institute Seattle, WA, USA.
Gail P JarvikDepartment of Medicine, University of Washington Seattle, WA, USA ; Department of Genome Sciences, University of Washington Seattle, WA, USA.
Peggy L PeissigBiomedical Informatics Research Center, Marshfield Clinic Research Foundation Marshfield, WI, USA.
Murray H BrilliantCenter for Human Genetics, Marshfield Clinic Research Foundation Marshfield, WI, USA.
Catherine A McCartyEssentia Institute of Rural Health Duluth, MN, USA.
Christopher G ChuteDivisions of Biomedical Informatics and Statistics, Mayo Clinic Rochester, MN, USA.
Iftikhar J KulloDivision of Cardiovascular Diseases, Mayo Clinic Rochester, MN, USA.
Erwin BottingerThe Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai New York, NY, USA.
Rex ChisholmDepartment of Cell and Molecular Biology, Feinberg School of Medicine, Northwestern University Evanston, IL, USA.
Maureen E SmithDepartment of Cell and Molecular Biology, Feinberg School of Medicine, Northwestern University Evanston, IL, USA.
Dan M RodenDepartment of Medicine, Vanderbilt University Nashville, TN, USA ; Department of Pharmacology, Vanderbilt University Nashville, TN, USA.
Joshua C DennyDepartment of Medicine, Vanderbilt University Nashville, TN, USA ; Department of Biomedical Informatics, Vanderbilt University Nashville, TN, USA.
Vanderbilt University · USCenter for Human Genetics · USGeisinger Health System · USMarshfield Clinic · USUniversity of Washington · USKaiser Permanente Washington Health Research Institute · USMayo Clinic · USMayo Clinic in Arizona · USNorthwestern University · USPennsylvania State University · USEssentia Health · USIcahn School of Medicine at Mount Sinai · USNational Human Genome Research Institute · US

Funding

The Vanderbilt Institute for Clinical and Translational Research (VICTR)UL1TR000445 · NCATS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI BERNARD, GORDON RAPHAEL · 2012 to 2016
$41.4M
Furthering scientific understanding of mechanisms underlying resilience to the effects of AD pathology by incorporating state of the art quantification of gliosis, inflammation, & synaptic toxicityU01AG006781 · NIA · UNIVERSITY OF WASHINGTON · PI CRANE, PAUL K, LARSON, ERIC B · 1986 to 2020
$39.3M
Institutional Clinical and Translational Science AwardUL1TR000427 · NCATS · UNIVERSITY OF WISCONSIN-MADISON · PI DREZNER, MARC KENNETH · 2012 to 2016
$32.2M
Vanderbilt Biomedical Informatics Training ProgramT15LM007450 · NLM · VANDERBILT UNIVERSITY · PI Jessica S. Ancker, Bradley A. Malin · 2002 to 2026
$19.7M
Pharmacogenomics of Arrhythmia TherapyU19HL065962 · NHLBI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI RODEN, DAN M · 2010 to 2014
$17.4M
Genomic Basis of Susceptibility to COVID-19 Infection and its ComplicationsU01HG006379 · NHGRI · MAYO CLINIC ROCHESTER · PI Richard R. Sharp · 2011 to 2026
$16.5M
CLINICAL PHARMACOLOGY TRAINING PROGRAMT32GM007569 · NIGMS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Bjorn C Knollmann · 1985 to 2026
$12.4M
From GWAS to PheWAS: Scanning the EMR Phenome for Gene-disease AssociationsR01LM010685 · NLM · VANDERBILT UNIVERSITY MEDICAL CENTER · PI BASTARACHE, LISA · 2011 to 2022
$6.3M
National Infrastructure for Standardized and Portable EHR Phenotyping AlgorithmsR01GM105688 · NIGMS · WEILL MEDICAL COLL OF CORNELL UNIV · PI LUO, YUAN, PATHAK, JYOTISHMAN · 2013 to 2020
$5.7M
eMERGE Coordinating Center - Administrative SupplementU01HG006385 · NHGRI · VANDERBILT UNIVERSITY · PI HARRIS, PAUL A. · 2011 to 2014
$5.4M
Biorepository for Genomic Medicine in diverse CommunitiesU01HG006380 · NHGRI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI BOTTINGER, ERWIN P. · 2011 to 2015
$4.5M
Geisinger eGenonic Medicine (GeM) ProgramU01HG006382 · NHGRI · GEISINGER CLINIC · PI CAREY, DAVID J., WILLIAMS, MARC S. · 2011 to 2014
$4.3M
American Heart Association-American Stroke Association 16FTF30130005NCATS NIH HHS UL1 TR000427NCATS NIH HHS UL1 TR000445NHGRI NIH HHS U01 HG006375NHGRI NIH HHS U01 HG006378NHGRI NIH HHS U01 HG006379NHGRI NIH HHS U01 HG006380NHGRI NIH HHS U01 HG006382NHGRI NIH HHS U01 HG006385NHGRI NIH HHS U01 HG006388NHGRI NIH HHS U01 HG006389NHLBI NIH HHS U19 HL065962NIA NIH HHS U01 AG006781NIGMS NIH HHS R01 GM105688NIGMS NIH HHS T32 GM007569NLM NIH HHS R01 LM010685NLM NIH HHS T15 LM007450
6 · The paper itself

Abstract

Phenome-wide association studies (PheWAS) have demonstrated utility in validating genetic associations derived from traditional genetic studies as well as identifying novel genetic associations. Here we used an electronic health record (EHR)-based PheWAS to explore pleiotropy of genetic variants in the fat mass and obesity associated gene (FTO), some of which have been previously associated with obesity and type 2 diabetes (T2D). We used a population of 10,487 individuals of European ancestry with genome-wide genotyping from the Electronic Medical Records and Genomics (eMERGE) Network and another population of 13,711 individuals of European ancestry from the BioVU DNA biobank at Vanderbilt genotyped using Illumina HumanExome BeadChip. A meta-analysis of the two study populations replicated the well-described associations between FTO variants and obesity (odds ratio [OR] = 1.25, 95% Confidence Interval = 1.11-1.24, p = 2.10 × 10(-9)) and FTO variants and T2D (OR = 1.14, 95% CI = 1.08-1.21, p = 2.34 × 10(-6)). The meta-analysis also demonstrated that FTO variant rs8050136 was significantly associated with sleep apnea (OR = 1.14, 95% CI = 1.07-1.22, p = 3.33 × 10(-5)); however, the association was attenuated after adjustment for body mass index (BMI). Novel phenotype associations with obesity-associated FTO variants included fibrocystic breast disease (rs9941349, OR = 0.81, 95% CI = 0.74-0.91, p = 5.41 × 10(-5)) and trends toward associations with non-alcoholic liver disease and gram-positive bacterial infections. FTO variants not associated with obesity demonstrated other potential disease associations including non-inflammatory disorders of the cervix and chronic periodontitis. These results suggest that genetic variants in FTO may have pleiotropic associations, some of which are not mediated by obesity.

Indexed as

BMIExome chipFTOgenetic associationPheWASpleiotropy

Identifiers

PMID25177340
PMCPMC4134007
OpenAlexW1988844506

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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.