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Estimation and mapping of the missing heritability of human phenotypes

Abstract:
Rare coding variants shape inter-individual differences in human phenotypes1. However, the contribution of rare non-coding variants to those differences remains poorly characterized. Here we analyse whole-genome sequence (WGS) data from 347,630 individuals with European ancestry in the UK Biobank2, 3 to quantify the relative contribution of 40 million single-nucleotide and short indel variants (with a minor allele frequency (MAF) larger than 0.01%) to the heritability of 34 complex traits and diseases. On average across phenotypes, we find that WGS captures approximately 88% of the pedigree-based narrow sense heritability: that is, 20% from rare variants (MAF < 1%) and 68% from common variants (MAF ≥ 1%). We show that coding and non-coding genetic variants account for 21% and 79% of the rare-variant WGS-based heritability, respectively. We identified 15 traits with no significant difference between WGS-based and pedigree-based heritability estimates, suggesting their heritability is fully accounted for by WGS data. Finally, we performed genome-wide association analyses of all 34 phenotypes and, overall, identified 11,243 common-variant associations and 886 rare-variant associations. Altogether, our study provides high-precision estimates of rare-variant heritability, explains the heritability of many phenotypes and demonstrates for lipid traits that more than 25% of rare-variant heritability can be mapped to specific loci using fewer than 500,000 fully sequenced genomes.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1038/s41586-025-09720-6

Authors

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Role:
Author
ORCID:
0000-0002-5203-6481
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Role:
Author
ORCID:
0000-0002-0695-4409
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Role:
Author
ORCID:
0000-0002-6150-5614
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Role:
Author
ORCID:
0000-0003-1494-6772


Publisher:
Nature Research
Journal:
Nature More from this journal
Volume:
649
Issue:
8099
Pages:
1219-1227
Publication date:
2025-11-12
Acceptance date:
2025-10-08
DOI:
EISSN:
1476-4687
ISSN:
0028-0836


Language:
English
Source identifiers:
3702372
Deposit date:
2026-01-28
ARK identifier:
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