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GWAS Study

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

Hughes O, Bentley AR, Breeze CE et al.

38190104 PubMed ID
GWAS Study Type
145732 Participants
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Chapter I

Publication Details

Comprehensive information about this research publication

Authors

HO
Hughes O
BA
Bentley AR
BC
Breeze CE
AF
Aguet F
XX
Xu X
NG
Nadkarni G
SQ
Sun Q
LB
Lin BM
GT
Gilliland T
MM
Meyer MC
DJ
Du J
RL
Raffield LM
KH
Kramer H
MR
Morton RW
GM
Gouveia MH
AE
Atkinson EG
VA
Valladares-Salgado A
WN
Wacher-Rodarte N
DN
Dueker ND
GX
Guo X
HY
Hai Y
AA
Adeyemo A
BL
Best LG
CJ
Cai J
CG
Chen G
CM
Chong M
DA
Doumatey A
EJ
Eales J
GM
Goodarzi MO
IE
Ipp E
IM
Irvin MR
JM
Jiang M
JA
Jones AC
KC
Kooperberg C
KJ
Krieger JE
LE
Lange EM
LM
Lanktree MB
LJ
Lash JP
LP
Lotufo PA
LR
Loos RJF
HM
Ha My VT
PJ
Peralta-Romero J
QL
Qi L
RL
Raffel LJ
RS
Rich SS
RE
Rodriquez EJ
TE
Tarazona-Santos E
TK
Taylor KD
UJ
Umans JG
WJ
Wen J
YB
Young BA
YZ
Yu Z
ZY
Zhang Y
IC
Ida Chen YD
RT
Rundek T
RJ
Rotter JI
CM
Cruz M
FM
Fornage M
LM
Lima-Costa MF
PA
Pereira AC
PG
Paré G
NP
Natarajan P
CS
Cole SA
CA
Carson AP
LL
Lange LA
LY
Li Y
PE
Perez-Stable EJ
DR
Do R
CF
Charchar FJ
TM
Tomaszewski M
MJ
Mychaleckyj JC
RC
Rotimi C
MA
Morris AP
FN
Franceschini N
Chapter II

Abstract

Summary of the research findings

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.

105,607 African American, West African or admixed African individuals, 40,125 Hispanic/Latino or American Indian ancestry individuals

Chapter III

Study Statistics

Key metrics and study information

145732
Total Participants
GWAS
Study Type
No
Replicated
African American or Afro-Caribbean, Other admixed ancestry, Sub-Saharan African, Hispanic or Latin American, Native American
Ancestry
U.S., Ghana, U.K., Nigeria, Canada, Colombia, Argentina, Brazil, Mexico
Recruitment Country
Chapter IV

AI-Generated Summary

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