Evidence map›Paper›PMID 40016231›Full record

ArticleNPJ genomic medicine2025

Insights from the largest diverse ancestry sex-specific disease map for genetically predicted height.

A Papadopoulou, E M Litkowski, M Graff, Z Wang, R A J Smit, G Chittoor, I Dinsmore, N S Josyula, M Lin, J Shortt and 29 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in NPJ genomic medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

39 authors.

A PapadopoulouWilliam Harvey Research Institute, Faculty of Medicine and Dentistry, Queen Mary University of London, London, UK.ORCID http://orcid.org/0000-0003-3158-7951
E M LitkowskiVA Eastern Colorado Health Care System, Aurora, CO, USA.
M GraffDepartment of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.ORCID http://orcid.org/0000-0001-6380-1735
Z WangThe Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA.ORCID http://orcid.org/0000-0002-8046-4969
R A J SmitThe Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA.ORCID http://orcid.org/0000-0001-9822-6726
G ChittoorDepartment of Population Health Sciences, Geisinger, Danville, PA, USA.
I DinsmoreDepartment of Genomic Health, Geisinger, Danville, PA, USA.
N S JosyulaDepartment of Population Health Sciences, Geisinger, Danville, PA, USA.ORCID http://orcid.org/0000-0003-2782-8812
M LinColorado Center for Personalized Medicine, Department of Biomedical Informatics, University of Colorado Anschutz Medical Campus, Aurora, USA.
J ShorttColorado Center for Personalized Medicine, Department of Biomedical Informatics, University of Colorado Anschutz Medical Campus, Aurora, USA.
W ZhuVanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, USA.
S L VedantamProgram in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA.
L YengoInstitute for Molecular Bioscience, The University of Queensland, Brisbane, Australia.ORCID http://orcid.org/0000-0002-4272-9305
A R WoodDepartment of Biomedical Science, Centre of Membrane Interactions and Dynamics, University of Sheffield, Western Bank, Sheffield, UK.ORCID http://orcid.org/0000-0003-1726-948X
S I BerndtDivision of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD, USA.
I A HolmDivision of Genetics and Genomics and Manton Center for Orphan Diseases Research, Boston Children's Hospital, Department of Pediatrics, Harvard Medical School, Boston, MA, USA.ORCID http://orcid.org/0000-0003-4712-8821
F D MentchThe Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, PA, USA.ORCID http://orcid.org/0000-0003-4889-6961
H HakonarsonThe Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, PA, USA.ORCID http://orcid.org/0000-0003-2814-7461
K KirylukDepartment of Medicine, Division of Nephrology, Vagelos College of Physicians & Surgeons, Columbia University, New York, NY, USA.ORCID http://orcid.org/0000-0002-5047-6715
C WengDepartment of Biomedical Informatics, Vagelos College of Physicians & Surgeons, Columbia University, New York, NY, USA.
G P JarvikDepartment of Medicine (Medical Genetics) and Genome Sciences, University of Washington Medical Center, Seattle, WA, USA.
D CrosslinDivision of Biomedical Informatics and Genomics, John W. Deming Department of Medicine, Tulane University, School of Medicine, New Orleans, LA, USA.
D CarrellKaiser Permanente Washington Health Research Institute, Seattle, WA, USA.
I J KulloDepartment of Cardiovascular Medicine and the Gonda Vascular Center, Mayo Clinic, Rochester, MN, USA.ORCID http://orcid.org/0000-0002-6524-3471
O DikilitasDepartment of Cardiovascular Medicine and the Gonda Vascular Center, Mayo Clinic, Rochester, MN, USA.ORCID http://orcid.org/0000-0002-9906-8608
M G HayesDivision of Endocrinology, Metabolism, and Molecular Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.ORCID http://orcid.org/0000-0002-4617-3981
W -Q WeiDepartment of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA.ORCID http://orcid.org/0000-0003-4985-056X
D R V EdwardsDivision of Quantitative Sciences, Department of Obstetrics and Gynecology, Vanderbilt University Medical Center, Nashville, TN, USA.
T L AssimesVA Palo Alto Health Care System, Palo Alto, CA, USA.ORCID http://orcid.org/0000-0003-2349-0009
J N HirschhornDivision of Endocrinology and Center for Basic and Translational Obesity Research, Boston Children's Hospital, Boston, MA, USA.
J E BelowVanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, USA.
C R GignouxColorado Center for Personalized Medicine, Department of Biomedical Informatics, University of Colorado Anschutz Medical Campus, Aurora, USA.
A E JusticeDepartment of Population Health Sciences, Geisinger, Danville, PA, USA.ORCID http://orcid.org/0000-0002-8903-8712
R J F LoosThe Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA.ORCID http://orcid.org/0000-0002-8532-5087
Y V SunAtlanta VA Health Care System, Decatur, GA, USA.ORCID http://orcid.org/0000-0002-2838-1824
S RaghavanVA Eastern Colorado Health Care System, Aurora, CO, USA.
P Deloukas *William Harvey Research Institute, Faculty of Medicine and Dentistry, Queen Mary University of London, London, UK.ORCID http://orcid.org/0000-0001-9251-070X
K E North *Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.ORCID http://orcid.org/0000-0002-8903-0366
E Marouli *William Harvey Research Institute, Faculty of Medicine and Dentistry, Queen Mary University of London, London, UK. e.marouli@qmul.ac.uk.ORCID http://orcid.org/0000-0001-6179-1609

Funding

Vanderbilt Institute for Clinical and Translational Research (VICTR) -Identifying correlates of functional immunity in SARS-CoV-2 convalescent plasmaUL1TR002243 · NCATS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Paul A. Harris, Wesley H Self · 2017 to 2026
$130.7M
VANDERBILT UNIVERSITY CTSA FOR PEDIATRIC RESEARCHUL1RR024975 · NCRR · VANDERBILT UNIVERSITY · PI BERNARD, GORDON RAPHAEL · 2007 to 2011
$45.7M
The Vanderbilt Institute for Clinical and Translational Research (VICTR)UL1TR000445 · NCATS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI BERNARD, GORDON RAPHAEL · 2012 to 2016
$41.4M
Technologies and Resources CoreU54MD007593 · NIMHD · MEHARRY MEDICAL COLLEGE · PI ADUNYAH, SAMUEL EVANS · 2012 to 2018
$24.7M
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
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
Cell Interactions in the Inflamed Intestinal MucosaR01DK075787 · NIDDK · BOSTON CHILDREN'S HOSPITAL · PI JOEL N HIRSCHHORN · 2007 to 2026
$13.1M
Understanding and preventing HLA-associated drug reactionsP50GM115305 · NIGMS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI DENNY, JOSHUA C. · 2015 to 2019
$13.0M
Polygenic Risk Scores for Diverse Populations - Bridging Research and Clinical CareR01HL151152 · NHLBI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Christy Leigh Avery, Jennifer Below · 2020 to 2026
$12.3M
BLRD VA I01 BX003362BLRD VA I01 BX004821CSRD VA I01 CX000190NCATS NIH HHS UL1 TR000445NCATS NIH HHS UL1 TR002243NCRR NIH HHS S10 RR025141NCRR NIH HHS UL1 RR024975NHGRI NIH HHS R01 HG010297NHGRI NIH HHS U01 HG004798NHGRI NIH HHS U01 HG006378NHGRI NIH HHS U01 HG006379NHGRI NIH HHS U01 HG007417NHGRI 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 HG011710NHLBI NIH HHS K24 HL137010NHLBI NIH HHS R01 HL142302NHLBI NIH HHS R01 HL151152NHLBI NIH HHS R01 HL163262NHLBI NIH HHS U19 HL065962NICHD NIH HHS R01 HD074711NIDDK NIH HHS R01 DK075787NIDDK NIH HHS R01 DK122503NIDDK NIH HHS R01 DK139598NIGMS NIH HHS P50 GM115305NIGMS NIH HHS RC2 GM092618NIH HHS S10 OD017985NIH HHS S10 OD025092NIMHD NIH HHS U54 MD007593NINDS NIH HHS R01 NS032830NLM NIH HHS R01 LM013061
6 · The paper itself

Abstract

We performed ancestry and sex specific Phenome Wide Association Studies (PheWAS) to explore disease related outcomes associated with genetically predicted height. This is the largest PheWAS on genetically predicted height involving up to 840,000 individuals of diverse ancestry. We explored European, African, East Asian ancestries and Hispanic population groups. Increased genetically predicted height is associated with hyperpotassemia and autism in the male cross-ancestry analysis. We report male-only European ancestry associations with anxiety disorders, post-traumatic stress and substance addiction and disorders. We identify a signal with benign neoplasm of other parts of digestive system in females. We report associations with a series of disorders, several with no prior evidence of association with height, involving mental disorders and the endocrine system. Our study suggests that increased genetically predicted height is associated with higher prevalence of many clinically relevant traits which has important implications for epidemiological and clinical disease surveillance and risk stratification.

Identifiers

PMID40016231
PMCPMC11868580

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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 Socratic graph.