Multi-trait and multi-ancestry genetic analysis of comorbid lung diseases and traits improves genetic discovery and polygenic risk prediction

Yixuan He, Wenhan Lu, Yon Ho Jee, Ying Wang, Kristin Tsuo, David Qian, Chirag J Patel, James A Diao, Hailiang Huang, Jinyoung J Byun, Bogdan Pasaniuc, Elizabeth Atkinson, Christopher Amos, Matthew Moll, Michael Cho, Alicia Martin
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Abstract

While respiratory diseases such as COPD and asthma share many risk factors, most studies investigate them in insolation and in predominantly European ancestry populations. Here, we conducted the most powerful multi-trait and -ancestry genetic analysis of respiratory diseases and auxiliary traits to date. Our approach improves the power of genetic discovery across traits and ancestries, identifying 44 novel loci associated with lung function in individuals of East Asian ancestry. Using these results, we developed PRSxtra (cross TRait and Ancestry), a multi-trait and -ancestry polygenic risk score approach that leverages shared components of heritable risk via pleiotropic effects. PRSxtra significantly improved the prediction of asthma, COPD, and lung cancer compared to trait- and ancestry-matched PRS in a multi-ancestry cohort from the All of Us Research Program, especially in diverse populations. PRSxtra identified individuals in the top decile with over four-fold odds of asthma and COPD compared to the first decile. Our results present a new framework for multi-trait and -ancestry studies of respiratory diseases to improve genetic discovery and polygenic prediction.
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对合并肺部疾病和性状进行多性状和多家系遗传分析可提高遗传发现和多基因风险预测能力
虽然慢性阻塞性肺病和哮喘等呼吸系统疾病有许多共同的风险因素,但大多数研究都是在日照不足和以欧洲血统为主的人群中进行的。在这里,我们对呼吸系统疾病和辅助性状进行了迄今为止最强大的多性状和多祖先遗传分析。我们的方法提高了跨性状和祖先的遗传发现能力,在东亚祖先中发现了 44 个与肺功能相关的新位点。利用这些结果,我们开发了 PRSxtra(交叉 TRait 和 Ancestry),这是一种多性状和多血统多基因风险评分方法,它通过多向效应来利用遗传风险的共享成分。在 "我们所有人研究计划"(All of Us Research Program)的多血统队列中,与性状和血统匹配的 PRS 相比,PRSxtra 明显改善了对哮喘、慢性阻塞性肺病和肺癌的预测,尤其是在不同人群中。与第一十分位数相比,PRSxtra 发现了前十分位数中患哮喘和慢性阻塞性肺病几率超过四倍的个体。我们的研究结果为呼吸系统疾病的多性状和种系研究提供了一个新的框架,以改进基因发现和多基因预测。
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