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美国近期和持续的混合以及对健康和差异的影响的证据。

Evidence of recent and ongoing admixture in the U.S. and influences on health and disparities.

机构信息

Vanderbilt Genetics Institute, Vanderbilt University School of Medicine, Nashville, TN 37203, USA.

出版信息

Pac Symp Biocomput. 2024;29:374-388.

Abstract

Many researchers in genetics and social science incorporate information about race in their work. However, migrations (historical and forced) and social mobility have brought formerly separated populations of humans together, creating younger generations of individuals who have more complex and diverse ancestry and race profiles than older age groups. Here, we sought to better understand how temporal changes in genetic admixture influence levels of heterozygosity and impact health outcomes. We evaluated variation in genetic ancestry over 100 birth years in a cohort of 35,842 individuals with electronic health record (EHR) information in the Southeastern United States. Using the software STRUCTURE, we analyzed 2,678 ancestrally informative markers relative to three ancestral clusters (African, East Asian, and European) and observed rising levels of admixture for all clinically-defined race groups since 1990. Most race groups also exhibited increases in heterozygosity and long-range linkage disequilibrium over time, further supporting the finding of increasing admixture in young individuals in our cohort. These data are consistent with United States Census information from broader geographic areas and highlight the changing demography of the population. This increased diversity challenges classic approaches to studies of genotype-phenotype relationships which motivated us to explore the relationship between heterozygosity and disease diagnosis. Using a phenome-wide association study approach, we explored the relationship between admixture and disease risk and found that increased admixture resulted in protective associations with female reproductive disorders and increased risk for diseases with links to autoimmune dysfunction. These data suggest that tendencies in the United States population are increasing ancestral complexity over time. Further, these observations imply that, because both prevalence and severity of many diseases vary by race groups, complexity of ancestral origins influences health and disparities.

摘要

许多遗传学和社会科学研究人员在他们的工作中纳入了种族信息。然而,迁移(历史和强制)和社会流动使曾经分离的人类群体聚集在一起,造就了具有更复杂和多样化的祖先和种族背景的年轻一代个体,而这些个体比年龄较大的群体具有更多样的遗传混合特征。在这里,我们试图更好地理解遗传混合的时间变化如何影响杂合度水平,并影响健康结果。我们评估了在美国东南部一个有电子健康记录(EHR)信息的 35842 人的队列中,100 年的遗传祖先变异。使用 STRUCTURE 软件,我们分析了 2678 个与三个祖先群(非洲、东亚和欧洲)有关的祖先信息标记,并观察到自 1990 年以来,所有临床定义的种族群体的混合水平都在上升。大多数种族群体也随着时间的推移增加了杂合度和长程连锁不平衡,进一步支持了我们在队列中年轻个体混合程度增加的发现。这些数据与更广泛地理区域的美国人口普查信息一致,并强调了人口的变化。这种增加的多样性挑战了经典的基因型-表型关系研究方法,这促使我们探索杂合度与疾病诊断之间的关系。我们使用表型全基因组关联研究方法,探索了混合与疾病风险之间的关系,发现混合增加与女性生殖障碍的保护关联以及与自身免疫功能障碍相关的疾病风险增加有关。这些数据表明,美国人口的趋势是随着时间的推移增加祖先的复杂性。此外,这些观察结果意味着,由于许多疾病的流行率和严重程度因种族群体而异,因此祖先起源的复杂性会影响健康和差异。

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