Cell genomics · 2023

Genome-wide study investigating effector genes and polygenic prediction for kidney function in persons with ancestry from Africa and the Americas.

МетаанализСтатьяПоддержка исследования: вне правительства СШАПоддержка NIH: внешняя программаResearch Support, N.I.H., IntramuralНазвание и аннотация: Перевод пока не подготовлен

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Hughes Odessica, Bentley Amy R, Breeze Charles E, Aguet Francois, Xu Xiaoguang, Nadkarni Girish, Sun Quan, Lin Bridget M, Gilliland Thomas, Meyer Mariah C, Du Jiawen, Raffield Laura M, Kramer Holly, Morton Robert W, Gouveia Mateus H, Atkinson Elizabeth G, Valladares-Salgado Adan, Wacher-Rodarte Niels, Dueker Nicole D, Guo Xiuqing, Hai Yang, Adeyemo Adebowale, Best Lyle G, Cai Jianwen, Chen Guanjie, Chong Michael, Doumatey Ayo, Eales James, Goodarzi Mark O, Ipp Eli, Irvin Marguerite Ryan, Jiang Minzhi, Jones Alana C, Kooperberg Charles, Krieger Jose E, Lange Ethan M, Lanktree Matthew B, Lash James P, Lotufo Paulo A, Loos Ruth J F, Ha My Vy Thi, Peralta-Romero Jesús, Qi Lihong, Raffel Leslie J, Rich Stephen S, Rodriquez Erik J, Tarazona-Santos Eduardo, Taylor Kent D, Umans Jason G, Wen Jia, Young Bessie A, Yu Zhi, Zhang Ying, Ida Chen Yii-Der, Rundek Tanja, Rotter Jerome I, Cruz Miguel, Fornage Myriam, Lima-Costa Maria Fernanda, Pereira Alexandre C, Paré Guillaume, Natarajan Pradeep, Cole Shelley A, Carson April P, Lange Leslie A, Li Yun, Perez-Stable Eliseo J, Do Ron, Charchar Fadi J, Tomaszewski Maciej, Mychaleckyj Josyf C, Rotimi Charles, Morris Andrew P, Franceschini Nora

Аннотация

Chronic kidney disease is a leading cause of death and disability globally and impacts individuals of African ancestry (AFR) or with ancestry in the Americas (AMS) who are under-represented in genome-wide association studies (GWASs) of kidney function. To address this bias, we conducted a large meta-analysis of GWASs of estimated glomerular filtration rate (eGFR) in 145,732 AFR and AMS individuals. We identified 41 loci at genome-wide significance (p < 5 × 10-8), of which two have not been previously reported in any ancestry group. We integrated fine-mapped loci with epigenomic and transcriptomic resources to highlight potential effector genes relevant to kidney physiology and disease, and reveal key regulatory elements and pathways involved in renal function and development. We demonstrate the varying but increased predictive power offered by a multi-ancestry polygenic score for eGFR and highlight the importance of population diversity in GWASs and multi-omics resources to enhance opportunities for clinical translation for all.

Предметные рубрики MeSH

Humans Genome-Wide Association Study Renal Insufficiency, Chronic Glomerular Filtration Rate Multifactorial Inheritance Kidney

Genome-wide study investigating effector genes and polygenic prediction for kidney function in persons with ancestry from Africa and the Americas.

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Аннотация

Предметные рубрики MeSH