Evidence map›Paper›PMID 36513073›Full record

ArticleCell reports. Medicine2022

Correlations between complex human phenotypes vary by genetic background, gender, and environment.

Michael Elgart, Matthew O Goodman, Carmen Isasi, Han Chen, Alanna C Morrison, Paul S de Vries, Huichun Xu, Ani W Manichaikul, Xiuqing Guo, Nora Franceschini and 13 more

Open access · goldAbstract read
In one paragraph

Article in Cell reports. Medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
6.7field-weighted citation impact, top 3% 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

16 citing papers in PubMed, 37 citations in OpenAlex.

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  8. PCOS - the many faces of a disorder in women and men.Journal of endocrinological investigation · 2025
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  9. Tradeoffs in Modeling Context Dependency in Complex Trait Genetics.bioRxiv : the preprint server for biology · 2025
    Article
  10. Article
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  14. Review
  15. Article
  16. The Rise of Gastrointestinal Cancers as a Global Phenomenon: Unhealthy Behavior or Progress?International journal of environmental research and public health · 2023
    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

23 authors at 14 institutions in 1 country.

Michael ElgartDivision of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA, USA; Department of Medicine, Harvard Medical School, Boston, MA, USA. Electronic address: melgart@bwh.harvard.edu.
Matthew O GoodmanDivision of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA, USA; Department of Medicine, Harvard Medical School, Boston, MA, USA.
Carmen IsasiDepartment of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA.
Han ChenHuman Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA; Center for Precision Health, School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX, USA.
Alanna C MorrisonHuman Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA.
Paul S de VriesHuman Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA.
Huichun XuDepartment of Medicine, University of Maryland School of Medicine, Baltimore, MD, USA.
Ani W ManichaikulCenter for Public Health Genomics, University of Virginia, Charlottesville, VA, USA.
Xiuqing GuoThe Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA.
Nora FranceschiniDepartment of Epidemiology, University of North Carolina, Chapel Hill, NC, USA.
Bruce M PsatyCardiovascular Health Research Unit, Departments of Medicine, Epidemiology, and Health Services, University of Washington, Seattle, WA, USA.
Stephen S RichCenter for Public Health Genomics, University of Virginia School of Medicine, Charlottesville, VA, USA.
Jerome I RotterThe Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA.
Donald M Lloyd-JonesDepartment of Preventive Medicine, Northwestern University, Chicago, IL, USA.
Myriam FornageHuman Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA; Brown Foundation Institute of Molecular Medicine, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, USA.
Adolfo CorreaDepartment of Population Health Science, University of Mississippi Medical Center, Jackson, MS, USA.
Nancy L Heard-CostaBoston University and National Heart Lung and Blood Institute's Framingham Heart Study, Framingham, MA, USA; Department of Neurology, Boston University School of Medicine, Boston, MA, USA.
Ramachandran S VasanBoston University and National Heart Lung and Blood Institute's Framingham Heart Study, Framingham, MA, USA; Preventive Medicine & Epidemiology, and Cardiovascular Medicine, Medicine, Boston University School of Medicine, and Epidemiology, Boston University School of Public Health, Boston, MA, USA.
Ryan HernandezDepartment of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, CA, USA.
Robert C KaplanDepartment of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA; Fred Hutchinson Cancer Research Center, Division of Public Health Sciences, Seattle, WA, USA.
Susan RedlineDivision of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA, USA; Department of Medicine, Harvard Medical School, Boston, MA, USA.
Trans-Omics for Precision Medicine (TOPMed) Consortium
Tamar SoferDivision of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA, USA; Department of Medicine, Harvard Medical School, Boston, MA, USA; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA. Electronic address: tsofer@bwh.harvard.edu.
Brigham and Women's Hospital · USAlbert Einstein College of Medicine · USBoston University · USThe University of Texas Health Science Center at Houston · USUCLA Medical Center · USUniversity of Virginia · USBrown Foundation · USNorthwestern University · USThe University of Texas Health Science Center · USUniversity of California, San Francisco · USUniversity of Maryland, Baltimore · USUniversity of Mississippi Medical Center · USUniversity of North Carolina at Chapel Hill · USUniversity of Washington · US

Funding

UNC-CH CENTER FOR ENVIRONMENTAL HEALTH &SUSCEPTIBILITYP30ES010126 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Hazel B Nichols · 2001 to 2026
$36.3M
Phenotypic and Molecular Signatures for Sleep Apnea and Related MorbiditiesR35HL135818 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI REDLINE, SUSAN S. · 2017 to 2023
$7.2M
Leveraging Correlated Traits to Identify Genetic Associations with Sleep Disordered BreathingR21HL145425 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI SOFER, TAMAR · 2019 to 2020
$269k
NHLBI NIH HHS R21 HL145425NHLBI NIH HHS R35 HL135818NIEHS NIH HHS P30 ES010126
6 · The paper itself

Abstract

We develop a closed-form Haseman-Elston estimator for genetic and environmental correlation coefficients between complex phenotypes, which we term HEc, that is as precise as GCTA yet ∼20× faster. We estimate genetic and environmental correlations between over 7,000 phenotype pairs in subgroups from the Trans-Omics in Precision Medicine (TOPMed) program. We demonstrate substantial differences in both heritabilities and genetic correlations for multiple phenotypes and phenotype pairs between individuals of self-reported Black, Hispanic/Latino, and White backgrounds. We similarly observe differences in many of the genetic and environmental correlations between genders. To estimate the contribution of genetics to the observed phenotypic correlation, we introduce "fractional genetic correlation" as the fraction of phenotypic correlation explained by genetics. Finally, we quantify the enrichment of correlations between phenotypic domains, each of which is comprised of multiple phenotypes. Altogether, we demonstrate that the observed correlations between complex human phenotypes depend on the genetic background of the individuals, their gender, and their environment.

Indexed as

Genetic BackgroundFemaleHumansMalePhenotypeadmixed populationgenetic architecturegenetic backgroundgenetic correlationHaseman-Elston regressionheritabilityHispanic Community Health Study/Study of Latinoshousehold correlationmulti-ethnicTrans-Omics in Precision Medicine

Identifiers

PMID36513073
PMCPMC9797952
OpenAlexW4311227832

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.