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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 journal › Journal article › Research › peer-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 -