Quantifying heritability in functional regions of the coding and non-coding genome across diverse individuals

Most heritability studies have focused on common genetic variation and have largely excluded non-European or highly admixed populations. Here, we estimated the whole-genome heritability (h2WGS) of seven complex traits using 73,600,953 autosomal and chromosome X variants for 198,931 unrelated individuals from three genetic similarity groups. Adjusting for population stratification, we showed that rare variants (minor allele frequency<0.01) explain 30.6-67.7% of h2WGS. We used simulations to show how functionally-stratified heritability can be inflated due to linkage with missing or lower-quality variants. Finally, after accounting for confounding effects, we found substantial heritability enrichment from variants in non-coding RNA exons (maximum fold enrichment, FE=8.7, P=3.56e-7), UTRs (23.0, P=3.46e-30), distal regulatory regions (33.8, P=3.26e-42), and protein-coding exons (58.0, P=7.78e-15). Our study provides a framework for investigating the genetic architecture of complex human phenotypes using diverse whole-genome sequencing data and highlights the contribution of rare and non-coding genetic variants to the heritability of complex traits.

Authors

Institutions

Publication Details

Journal
bioRxiv (Cold Spring Harbor Laboratory)
Published
2026-11-02
DOI
https://doi.org/10.64898/2026.10.30.763088
Primary Topic
Genetic Associations and Epidemiology
Type
preprint
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
preprint

Quantifying heritability in functional regions of the coding and non-coding genome across diverse individuals

V. Kartik Chundru, Alicia Huerta‐Chagoya, Camila Armirola-Ricaurte, Harry W. Wright et al.
bioRxiv (Cold Spring Harbor Laboratory)
Genetic Associations and Epidemiology
preprint

Quantifying heritability in functional regions of the coding and non-coding genome across diverse individuals

V. Kartik Chundru, Alicia Huerta‐Chagoya, Camila Armirola-Ricaurte, Harry W. Wright, Andrew R. Wood, Alisa Knodle Manning, Inês Barroso, Caroline Fiona Wright, Robin N. Beaumont, Gareth Hawkes, Josep Maria Mercader, Micah R. Hysong, Michael N. Weedon, Theo Valentine Lupu
preprint en

Abstract

Most heritability studies have focused on common genetic variation and have largely excluded non-European or highly admixed populations. Here, we estimated the whole-genome heritability (h2WGS) of seven complex traits using 73,600,953 autosomal and chromosome X variants for 198,931 unrelated individuals from three genetic similarity groups. Adjusting for population stratification, we showed that rare variants (minor allele frequency<0.01) explain 30.6-67.7% of h2WGS. We used simulations to show how functionally-stratified heritability can be inflated due to linkage with missing or lower-quality variants. Finally, after accounting for confounding effects, we found substantial heritability enrichment from variants in non-coding RNA exons (maximum fold enrichment, FE=8.7, P=3.56e-7), UTRs (23.0, P=3.46e-30), distal regulatory regions (33.8, P=3.26e-42), and protein-coding exons (58.0, P=7.78e-15). Our study provides a framework for investigating the genetic architecture of complex human phenotypes using diverse whole-genome sequencing data and highlights the contribution of rare and non-coding genetic variants to the heritability of complex traits.

bioRxiv (Cold Spring Harbor Laboratory)
Broad Institute (US), University of North Carolina at Chapel Hill (US), Harvard University (US), University of Exeter (GB), Massachusetts General Hospital (US)
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.

Laika access coming soon