Evidence map›Paper›PMID 39198472›Full record

ArticleNature communications2024

Uncovering the heritable components of multimorbidities and disease trajectories using a nationwide cohort.

David Westergaard, Frederik Hytting Jørgensen, Jens Waaben, Alexander Wolfgang Jung, Mette Lademann, Thomas Folkmann Hansen, Jolien Cremers, Sisse Rye Ostrowski, Ole Birger Vesterager Pedersen, Danish Blood Donor Study Genomic Consortium and 7 more

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
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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

17 authors.

David WestergaardNovo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.ORCID 0000-0003-0128-8432
Frederik Hytting JørgensenMethods and Analysis, Statistics Denmark, Copenhagen, Denmark.
Jens WaabenNovo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
Alexander Wolfgang JungNovo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
Mette LademannNovo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
Thomas Folkmann HansenNovo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.ORCID 0000-0001-6703-7762
Jolien CremersMethods and Analysis, Statistics Denmark, Copenhagen, Denmark.
Sisse Rye OstrowskiDepartment of Clinical Immunology, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark.ORCID 0000-0001-5288-3851
Ole Birger Vesterager PedersenDepartment of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.ORCID 0000-0003-2312-5976
Danish Blood Donor Study Genomic Consortium
Roc ReguantNovo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.ORCID 0000-0002-0350-3899
Isabella Friis JørgensenNovo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.ORCID 0000-0001-5694-4332
Tom FitzgeraldEuropean Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, UK.ORCID 0000-0002-2370-8496
Ewan BirneyEuropean Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, UK.ORCID 0000-0001-8314-8497
Karina BanasikNovo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.ORCID 0000-0003-2489-2499
Laust MortensenMethods and Analysis, Statistics Denmark, Copenhagen, Denmark.ORCID 0000-0002-6399-495X
Søren BrunakNovo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark. soren.brunak@cpr.ku.dk.ORCID 0000-0003-0316-5866

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Quantifying the contribution of genetics and environmental effects on disease initiation and progression, as well as the shared genetics of different diseases, is vital for the understanding of the disease etiology of multimorbidities. In this study, we leverage nationwide Danish registries to provide a granular atlas of the genetic origin of disease phenotypes for a cohort of all Danes 1978-2018 with partially known pedigree (n = 6.3 million). We estimate the heritability and genetic correlation between thousands of disease phenotypes using a novel approach that can be scaled to nationwide data. Our findings confirm the importance of genetics for a number of known associations and increase the resolution of heritability by adding numerous associations, some of which point to shared biologically origin of different phenotypes. We also establish the heritability of disease trajectories and the importance of sex-specific genetic contributions. Results can be accessed at https://h2.cpr.ku.dk/ .

Indexed as

Genetic Predisposition to DiseaseMultimorbidityPhenotypeRegistriesAdultAgedCohort StudiesDenmarkFemaleHumansMaleMiddle AgedPedigree

Identifiers

PMID39198472
PMCPMC11358290

What OpenQuestion holds

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Registered trials

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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.