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

In: Cell Genomics, Vol. 4, No. 1, 100468, 2024.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Hughes, O, Bentley, AR, Breeze, CE, Aguet, F, Xu, X, Nadkarni, G, Sun, Q, Lin, BM, Gilliland, T, Meyer, MC, Du, J, Raffield, LM, Kramer, H, Morton, RW, Gouveia, MH, Atkinson, EG, Valladares-Salgado, A, Wacher-Rodarte, N, Dueker, ND, Guo, X, Hai, Y, Adeyemo, A, Best, LG, Cai, J, Chen, G, Chong, M, Doumatey, A, Eales, J, Goodarzi, MO, Ipp, E, Irvin, MR, Jiang, M, Jones, AC, Kooperberg, C, Krieger, JE, Lange, EM, Lanktree, MB, Lash, JP, Lotufo, PA, Loos, RJF, Ha My, VT, Peralta-Romero, J, Qi, L, Raffel, LJ, Rich, SS, Rodriquez, EJ, Tarazona-Santos, E, Taylor, KD, Umans, JG, Wen, J, Young, BA, Yu, Z, Zhang, Y, Ida Chen, YD, Rundek, T, Rotter, JI, Cruz, M, Fornage, M, Lima-Costa, MF, Pereira, AC, Paré, G, Natarajan, P, Cole, SA, Carson, AP, Lange, LA, Li, Y, Perez-Stable, EJ, Do, R, Charchar, FJ, Tomaszewski, M, Mychaleckyj, JC, Rotimi, C, Morris, AP & Franceschini, N 2024, 'Genome-wide study investigating effector genes and polygenic prediction for kidney function in persons with ancestry from Africa and the Americas', Cell Genomics, vol. 4, no. 1, 100468. https://doi.org/10.1016/j.xgen.2023.100468

APA

Hughes, O., Bentley, A. R., Breeze, C. E., Aguet, F., Xu, X., Nadkarni, G., Sun, Q., Lin, B. M., Gilliland, T., Meyer, M. C., Du, J., Raffield, L. M., Kramer, H., Morton, R. W., Gouveia, M. H., Atkinson, E. G., Valladares-Salgado, A., Wacher-Rodarte, N., Dueker, N. D., ... Franceschini, N. (2024). Genome-wide study investigating effector genes and polygenic prediction for kidney function in persons with ancestry from Africa and the Americas. Cell Genomics, 4(1), [100468]. https://doi.org/10.1016/j.xgen.2023.100468

Vancouver

Hughes O, Bentley AR, Breeze CE, Aguet F, Xu X, Nadkarni G et al. Genome-wide study investigating effector genes and polygenic prediction for kidney function in persons with ancestry from Africa and the Americas. Cell Genomics. 2024;4(1). 100468. https://doi.org/10.1016/j.xgen.2023.100468

Author

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. / Genome-wide study investigating effector genes and polygenic prediction for kidney function in persons with ancestry from Africa and the Americas. In: Cell Genomics. 2024 ; Vol. 4, No. 1.

Bibtex

@article{74f898f4ba3144d5b530430e4b68026f,
title = "Genome-wide study investigating effector genes and polygenic prediction for kidney function in persons with ancestry from Africa and the Americas",
abstract = "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.",
keywords = "admixed populations, chronic kidney disease, eGFR, expression quantitative trait locus, fine-mapping, genome-wide association study, kidney function, multi-ancestry, polygenic scores",
author = "Odessica Hughes and Bentley, {Amy R.} and Breeze, {Charles E.} and Francois Aguet and Xiaoguang Xu and Girish Nadkarni and Quan Sun and Lin, {Bridget M.} and Thomas Gilliland and Meyer, {Mariah C.} and Jiawen Du and Raffield, {Laura M.} and Holly Kramer and Morton, {Robert W.} and Gouveia, {Mateus H.} and Atkinson, {Elizabeth G.} and Adan Valladares-Salgado and Niels Wacher-Rodarte and Dueker, {Nicole D.} and Xiuqing Guo and Yang Hai and Adebowale Adeyemo and Best, {Lyle G.} and Jianwen Cai and Guanjie Chen and Michael Chong and Ayo Doumatey and James Eales and Goodarzi, {Mark O.} and Eli Ipp and Irvin, {Marguerite Ryan} and Minzhi Jiang and Jones, {Alana C.} and Charles Kooperberg and Krieger, {Jose E.} and Lange, {Ethan M.} and Lanktree, {Matthew B.} and Lash, {James P.} and Lotufo, {Paulo A.} and Loos, {Ruth J.F.} and {Ha My}, {Vy Thi} and Jes{\'u}s Peralta-Romero and Lihong Qi and Raffel, {Leslie J.} and Rich, {Stephen S.} and Rodriquez, {Erik J.} and Eduardo Tarazona-Santos and Taylor, {Kent D.} and Umans, {Jason G.} and Jia Wen and Young, {Bessie A.} and Zhi Yu and Ying Zhang and {Ida Chen}, {Yii Der} and Tanja Rundek and Rotter, {Jerome I.} and Miguel Cruz and Myriam Fornage and Lima-Costa, {Maria Fernanda} and Pereira, {Alexandre C.} and Guillaume Par{\'e} and Pradeep Natarajan and Cole, {Shelley A.} and Carson, {April P.} and Lange, {Leslie A.} and Yun Li and Perez-Stable, {Eliseo J.} and Ron Do and Charchar, {Fadi J.} and Maciej Tomaszewski and Mychaleckyj, {Josyf C.} and Charles Rotimi and Morris, {Andrew P.} and Nora Franceschini",
note = "Publisher Copyright: {\textcopyright} 2023 The Authors",
year = "2024",
doi = "10.1016/j.xgen.2023.100468",
language = "English",
volume = "4",
journal = "Cell Genomics",
issn = "2666-979x",
publisher = "Elsevier",
number = "1",

}

RIS

TY - JOUR

T1 - Genome-wide study investigating effector genes and polygenic prediction for kidney function in persons with ancestry from Africa and the Americas

AU - Hughes, Odessica

AU - Bentley, Amy R.

AU - Breeze, Charles E.

AU - Aguet, Francois

AU - Xu, Xiaoguang

AU - Nadkarni, Girish

AU - Sun, Quan

AU - Lin, Bridget M.

AU - Gilliland, Thomas

AU - Meyer, Mariah C.

AU - Du, Jiawen

AU - Raffield, Laura M.

AU - Kramer, Holly

AU - Morton, Robert W.

AU - Gouveia, Mateus H.

AU - Atkinson, Elizabeth G.

AU - Valladares-Salgado, Adan

AU - Wacher-Rodarte, Niels

AU - Dueker, Nicole D.

AU - Guo, Xiuqing

AU - Hai, Yang

AU - Adeyemo, Adebowale

AU - Best, Lyle G.

AU - Cai, Jianwen

AU - Chen, Guanjie

AU - Chong, Michael

AU - Doumatey, Ayo

AU - Eales, James

AU - Goodarzi, Mark O.

AU - Ipp, Eli

AU - Irvin, Marguerite Ryan

AU - Jiang, Minzhi

AU - Jones, Alana C.

AU - Kooperberg, Charles

AU - Krieger, Jose E.

AU - Lange, Ethan M.

AU - Lanktree, Matthew B.

AU - Lash, James P.

AU - Lotufo, Paulo A.

AU - Loos, Ruth J.F.

AU - Ha My, Vy Thi

AU - Peralta-Romero, Jesús

AU - Qi, Lihong

AU - Raffel, Leslie J.

AU - Rich, Stephen S.

AU - Rodriquez, Erik J.

AU - Tarazona-Santos, Eduardo

AU - Taylor, Kent D.

AU - Umans, Jason G.

AU - Wen, Jia

AU - Young, Bessie A.

AU - Yu, Zhi

AU - Zhang, Ying

AU - Ida Chen, Yii Der

AU - Rundek, Tanja

AU - Rotter, Jerome I.

AU - Cruz, Miguel

AU - Fornage, Myriam

AU - Lima-Costa, Maria Fernanda

AU - Pereira, Alexandre C.

AU - Paré, Guillaume

AU - Natarajan, Pradeep

AU - Cole, Shelley A.

AU - Carson, April P.

AU - Lange, Leslie A.

AU - Li, Yun

AU - Perez-Stable, Eliseo J.

AU - Do, Ron

AU - Charchar, Fadi J.

AU - Tomaszewski, Maciej

AU - Mychaleckyj, Josyf C.

AU - Rotimi, Charles

AU - Morris, Andrew P.

AU - Franceschini, Nora

N1 - Publisher Copyright: © 2023 The Authors

PY - 2024

Y1 - 2024

N2 - 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.

AB - 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.

KW - admixed populations

KW - chronic kidney disease

KW - eGFR

KW - expression quantitative trait locus

KW - fine-mapping

KW - genome-wide association study

KW - kidney function

KW - multi-ancestry

KW - polygenic scores

U2 - 10.1016/j.xgen.2023.100468

DO - 10.1016/j.xgen.2023.100468

M3 - Journal article

C2 - 38190104

AN - SCOPUS:85180574530

VL - 4

JO - Cell Genomics

JF - Cell Genomics

SN - 2666-979x

IS - 1

M1 - 100468

ER -

ID: 378809215