Evidence map›Paper›PMID 36372681›Full record

ArticleObesity (Silver Spring, Md.)2022

Quantifying the phenome-wide disease burden of obesity using electronic health records and genomics.

Jamie R Robinson, Robert J Carroll, Lisa Bastarache, Qingxia Chen, James Pirruccello, Zongyang Mou, Wei-Qi Wei, John Connolly, Frank Mentch, Paul K Crane and 25 more

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

Article in Obesity (Silver Spring, Md.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 16% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. 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 18 institutions in 1 country.

Jamie R RobinsonDepartment of Biomedical Informatics, Vanderbilt University Medical Center, Vanderbilt University, Nashville, Tennessee, USA.ORCID 0000-0003-0888-0156
Robert J CarrollDepartment of Biomedical Informatics, Vanderbilt University Medical Center, Vanderbilt University, Nashville, Tennessee, USA.
Lisa BastaracheDepartment of Biomedical Informatics, Vanderbilt University Medical Center, Vanderbilt University, Nashville, Tennessee, USA.
Qingxia ChenDepartment of Biomedical Informatics, Vanderbilt University Medical Center, Vanderbilt University, Nashville, Tennessee, USA.
James PirruccelloCenter for Genomics Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA.
Zongyang MouDepartment of Surgery, University of California, San Diego, California, USA.
Wei-Qi WeiDepartment of Biomedical Informatics, Vanderbilt University Medical Center, Vanderbilt University, Nashville, Tennessee, USA.
John ConnollyThe Center for Applied Genomics, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA.
Frank MentchThe Center for Applied Genomics, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA.
Paul K CraneDepartment of Medicine, University of Washington, Seattle, Washington, USA.
Scott J HebbringCenter for Human Genetics, Marshfield Clinic Research Institute, Marshfield, Wisconsin, USA.
David R CrosslinDepartment of Biomedical Informatics and Medical Education, University of Washington, Seattle, Washington, USA.
Adam S GordonDepartment of Pharmacology, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.
Elisabeth A RosenthalDepartments of Medicine (Medical Genetics) and Genome Sciences, University of Washington Medical Center, University of Washington, Seattle, Washington, USA.
Ian B StanawayDepartment of Biomedical Informatics and Medical Education, University of Washington, Seattle, Washington, USA.
M Geoffrey HayesDivision of Endocrinology, Metabolism, and Molecular Medicine, Department of Medicine, Northwestern University Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA.
Wei WeiUniversity of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA.
Lynn PetukhovaDepartment of Epidemiology, Columbia University, New York, New York, USA.
Bahram Namjou-KhalesCenter for Autoimmune Genomics and Etiology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.
Ge ZhangCenter for Autoimmune Genomics and Etiology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.
Mayya S SafarovaDepartment of Cardiovascular Diseases, Mayo Clinic, Rochester, Minnesota, USA.
Nephi A WaltonDepartment of Biomedical and Translational Informatics, Geisinger Health System, Danville, Pennsylvania, USA.
Christopher StillDepartment of Biomedical and Translational Informatics, Geisinger Health System, Danville, Pennsylvania, USA.
Erwin P BottingerThe Charles Bronfman Institute for Personalized Medicine at Mount Sinai, The Mindich Child Health and Development Institute, New York, New York, USA.
Ruth J F LoosThe Charles Bronfman Institute for Personalized Medicine at Mount Sinai, The Mindich Child Health and Development Institute, New York, New York, USA.
Shawn N MurphyDepartment of Neurology, Partners Healthcare, Boston, Massachusetts, USA.
Gretchen P JacksonDepartment of Biomedical Informatics, Vanderbilt University Medical Center, Vanderbilt University, Nashville, Tennessee, USA.
Naji AbumradDepartment of Surgery, Vanderbilt University Medical Center, Vanderbilt University, Nashville, Tennessee, USA.
Iftikhar J KulloDepartment of Cardiovascular Diseases, Mayo Clinic, Rochester, Minnesota, USA.
Gail P JarvikDepartments of Medicine (Medical Genetics) and Genome Sciences, University of Washington Medical Center, University of Washington, Seattle, Washington, USA.
Eric B LarsonKaiser Permanente Washington Health Research Institute, Seattle, Washington, USA.
Chunhua WengDepartment of Biomedical Informatics, Columbia University, New York, New York, USA.
Dan RodenDepartment of Biomedical Informatics, Vanderbilt University Medical Center, Vanderbilt University, Nashville, Tennessee, USA.
Amit V KheraDepartment of Biostatistics, Vanderbilt University Medical Center, Vanderbilt University, Nashville, Tennessee, USA.
Joshua C DennyAll of Us Research Program, National Institutes of Health, Bethesda, Maryland, USA.
Vanderbilt University Medical Center · USUniversity of Washington Medical Center · USChild Health and Development Institute · USChildren's Hospital of Philadelphia · USCincinnati Children's Hospital Medical Center · USColumbia University · USGeisinger Health System · USMayo Clinic · USNorthwestern University · USUniversity of Pittsburgh Medical Center · USBroad Institute · USCenter for Human Genetics · USKaiser Permanente Washington Health Research Institute · USMassachusetts General Hospital · USMass General Brigham · USNational Institutes of Health · USUniversity of California San Diego · USUniversity of Washington · US

Funding

Center for Common Disease GeneticsUM1HG008895 · NHGRI · BROAD INSTITUTE, INC. · PI DALY, MARK JOSEPH, GABRIEL, STACEY · 2016 to 2020
$111.2M
The Vanderbilt Institute for Clinical and Translational Research (VICTR)UL1TR000445 · NCATS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI BERNARD, GORDON RAPHAEL · 2012 to 2016
$41.4M
PILOT STUDY--CLINICAL NUTRITION RESEARCHP30DK035816 · NIDDK · UNIVERSITY OF WASHINGTON · PI Ellen A Schur · 1986 to 2026
$30.4M
Translational Research CoreP30DK020541 · NIDDK · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI JEFFREY E. PESSIN · 2015 to 2026
$27.7M
JH/CIDR Genotyping for Genome-Wide Association StudiesU01HG004438 · NHGRI · JOHNS HOPKINS UNIVERSITY · PI VALLE, DAVID · 2007 to 2011
$24.2M
A Center for GEI Association StudiesU01HG004424 · NHGRI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI GABRIEL, STACEY · 2007 to 2010
$21.4M
Vanderbilt Biomedical Informatics Training ProgramT15LM007450 · NLM · VANDERBILT UNIVERSITY · PI Jessica S. Ancker, Bradley A. Malin · 2002 to 2026
$19.7M
Genomic Basis of Susceptibility to COVID-19 Infection and its ComplicationsU01HG006379 · NHGRI · MAYO CLINIC ROCHESTER · PI Richard R. Sharp · 2011 to 2026
$16.5M
Finding Genomic Profiles of COVID-19 Phenotypes from the EHRU01HG008685 · NHGRI · BRIGHAM AND WOMEN'S HOSPITAL · PI ELIZABETH W KARLSON, Matthew S Lebo · 2015 to 2026
$13.6M
Variation, Function, and Disease Supplement ProgramU01HG008657 · NHGRI · UNIVERSITY OF WASHINGTON · PI David Russell Crosslin, Gail Pairitz Jarvik · 2015 to 2026
$13.4M
OMOP information model for eMERGE phenotypingU01HG008680 · NHGRI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Wendy K Chung, GEORGE M HRIPCSAK · 2015 to 2026
$13.3M
DNA Sequencing Support for the eMERGE NetworkU01HG008664 · NHGRI · BAYLOR COLLEGE OF MEDICINE · PI GIBBS, RICHARD A · 2015 to 2019
$10.9M
Medical Research Council MC_PC_17228Medical Research Council MC_QA137853NCATS NIH HHS UL1 TR000445NHGRI NIH HHS K08 HG010155NHGRI NIH HHS U01 HG004424NHGRI NIH HHS U01 HG004438NHGRI NIH HHS U01 HG004599NHGRI NIH HHS U01 HG004603NHGRI NIH HHS U01 HG004608NHGRI NIH HHS U01 HG004609NHGRI NIH HHS U01 HG004610NHGRI 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 HG006389NHGRI NIH HHS U01 HG006828NHGRI NIH HHS U01 HG006830NHGRI NIH HHS U01 HG008657NHGRI NIH HHS U01 HG008664NHGRI NIH HHS U01 HG008666NHGRI NIH HHS U01 HG008672NHGRI NIH HHS U01 HG008673NHGRI NIH HHS U01 HG008676NHGRI NIH HHS U01 HG008679NHGRI NIH HHS U01 HG008680NHGRI NIH HHS U01 HG008684NHGRI NIH HHS U01 HG008685NHGRI NIH HHS U01 HG008701NHGRI NIH HHS U01 HG011172NHGRI NIH HHS UM1 HG008895NIAMS NIH HHS K01 AR075111NIAMS NIH HHS L60 AR077958NICHD NIH HHS R01 HD101669NIDDK NIH HHS P30 DK020541NIDDK NIH HHS P30 DK035816NIGMS NIH HHS R01 GM114128NLM NIH HHS R01 LM010685NLM NIH HHS T15 LM007450
6 · The paper itself

Abstract

objectiveHigh BMI is associated with many comorbidities and mortality. This study aimed to elucidate the overall clinical risk of obesity using a genome- and phenome-wide approach.

methodsThis study performed a phenome-wide association study of BMI using a clinical cohort of 736,726 adults. This was followed by genetic association studies using two separate cohorts: one consisting of 65,174 adults in the Electronic Medical Records and Genomics (eMERGE) Network and another with 405,432 participants in the UK Biobank.

resultsClass 3 obesity was associated with 433 phenotypes, representing 59.3% of all billing codes in individuals with severe obesity. A genome-wide polygenic risk score for BMI, accounting for 7.5% of variance in BMI, was associated with 296 clinical diseases, including strong associations with type 2 diabetes, sleep apnea, hypertension, and chronic liver disease. In all three cohorts, 199 phenotypes were associated with class 3 obesity and polygenic risk for obesity, including novel associations such as increased risk of renal failure, venous insufficiency, and gastroesophageal reflux.

conclusionsThis combined genomic and phenomic systematic approach demonstrated that obesity has a strong genetic predisposition and is associated with a considerable burden of disease across all disease classes.

Indexed as

Diabetes Mellitus, Type 2PhenomicsCost of IllnessElectronic Health RecordsGenetic Predisposition to DiseaseGenome-Wide Association StudyGenomicsHumansObesityPhenotypePolymorphism, Single Nucleotide

Identifiers

PMID36372681
PMCPMC9691570
OpenAlexW4308896324

What OpenQuestion holds

Textmetadata
LicenceTDM
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.