Mapping the heritability of disease: a nationwide study

Heritability estimates are essential for understanding genetic and environmental contributions to disease, yet large-scale studies remain scarce. In this study, we leverage the Danish national health registers, including medical records for more than 10 million individuals, to estimate heritability for more than 1000 health outcomes. We estimate heritability using both twins and siblings born in Denmark between 1955-2021, providing insight into the influence of shared sibling environment with estimates that show strong concordance with published twin studies and meta-analyses. We consider the impact of left-truncation by conducting analyses in both the full cohort and in individuals born after 1977. In a nested genotype case-cohort sample, we contrasted twin- and sibling-based heritabilities for psychiatric and neurological disorders with single-nucleotide polymorphism (SNP)-heritability, revealing disorder-specific "missing heritability" gaps. Together, these results map disease heritability in a single population, providing comprehensive insights for future genetic studies and preventive strategies using population health registers.

Authors

Institutions

Publication Details

Journal
Nature Communications
Published
2026-03-17
DOI
https://doi.org/10.1038/s41467-026-69991-z
Primary Topic
Genetic Associations and Epidemiology
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Mapping the heritability of disease: a nationwide study

Julie Werenberg Dreier, Bjarni Jóhann Vilhjálmsson, Betina B. Trabjerg, Janne Auning et al.
Nature Communications
Genetic Associations and Epidemiology
article

Mapping the heritability of disease: a nationwide study

Julie Werenberg Dreier, Bjarni Jóhann Vilhjálmsson, Betina B. Trabjerg, Janne Auning, Jakob Christensen
article en

Abstract

Heritability estimates are essential for understanding genetic and environmental contributions to disease, yet large-scale studies remain scarce. In this study, we leverage the Danish national health registers, including medical records for more than 10 million individuals, to estimate heritability for more than 1000 health outcomes. We estimate heritability using both twins and siblings born in Denmark between 1955-2021, providing insight into the influence of shared sibling environment with estimates that show strong concordance with published twin studies and meta-analyses. We consider the impact of left-truncation by conducting analyses in both the full cohort and in individuals born after 1977. In a nested genotype case-cohort sample, we contrasted twin- and sibling-based heritabilities for psychiatric and neurological disorders with single-nucleotide polymorphism (SNP)-heritability, revealing disorder-specific "missing heritability" gaps. Together, these results map disease heritability in a single population, providing comprehensive insights for future genetic studies and preventive strategies using population health registers.

Nature Communications
Broad Institute (US), Aarhus University (DK), Aarhus University Hospital (DK), Foundation Center (US), Novo Nordisk (United States) (US)
Openalex Percentile: Top 20%
Genetic Associations and Epidemiology
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.