The abstract is read at the publisher; the summary is JClub's.
Four novel candidate causal variants for lung function were fine-mapped in 17,738 Chinese individuals, including rs56381615 in LINC02270 and SNPs in PTK7, EPHA3, and ABI3BP.
- Why it matters: Lung function GWAS and polygenic score models have largely relied on European-ancestry samples, leaving cross-ancestry genetic architecture and prediction performance less certain for East Asian populations.
- What they did: The study ran lung function GWASs in DFTJ and WHZH cohorts (17,738), meta-analyzed with China Kadoorie Biobank (n = 100,285), Taiwan Biobank (n = 62,901), and European-ancestry studies (n = 400,102), then performed multi-ancestry fine-mapping and transcriptome-wide association across 16 tissues.
- The result: Cross-ancestry genetic correlations were high (0.682–0.811) but significantly below 1 (p < 0.005), and multi-ancestry PGS models outperformed existing models, improving lung function prediction in East Asian populations.
The findingWhy it mattersWhat they didThe result
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