Journal article
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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(Preview, Version of record, pdf, 9.2MB, Terms of use)
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- Publisher copy:
- 10.1038/s41586-025-09720-6
Authors
- 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:
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0028-0836
- Language:
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English
- Source identifiers:
-
3702372
- Deposit date:
-
2026-01-28
- ARK identifier:
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- Copyright date:
- 2025
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