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GWAS Study

Multi-population genome-wide association study implicates immune and non-immune factors in pediatric steroid-sensitive nephrotic syndrome.

Barry A, McNulty MT, Jia X et al.

37120605 PubMed ID
GWAS Study Type
38463 Participants
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Chapter I

Publication Details

Comprehensive information about this research publication

Authors

BA
Barry A
MM
McNulty MT
JX
Jia X
GY
Gupta Y
DH
Debiec H
LY
Luo Y
NC
Nagano C
HT
Horinouchi T
JS
Jung S
CM
Colucci M
AD
Ahram DF
MA
Mitrotti A
SA
Sinha A
TN
Teeninga N
JG
Jin G
SS
Shril S
CG
Caridi G
BM
Bodria M
LT
Lim TY
WR
Westland R
ZF
Zanoni F
MM
Marasa M
TD
Turudic D
GM
Giordano M
GL
Gesualdo L
MR
Magistroni R
PI
Pisani I
FE
Fiaccadori E
RJ
Reiterova J
MS
Maringhini S
MW
Morello W
MG
Montini G
WP
Weng PL
SF
Scolari F
SM
Saraga M
TV
Tasic V
SD
Santoro D
VW
van Wijk JAE
MD
Milošević D
KY
Kawai Y
KK
Kiryluk K
PM
Pollak MR
GA
Gharavi A
LF
Lin F
SE
Simœs E Silva AC
LR
Loos RJF
KE
Kenny EE
SM
Schreuder MF
ZA
Zurowska A
DC
Dossier C
AG
Ariceta G
DM
Drozynska-Duklas M
HJ
Hogan J
JA
Jankauskiene A
HF
Hildebrandt F
PL
Prikhodina L
SK
Song K
BA
Bagga A
CH
Cheong H
GG
Ghiggeri GM
VP
Vachvanichsanong P
NK
Nozu K
LD
Lee D
VM
Vivarelli M
RS
Raychaudhuri S
TK
Tokunaga K
SS
Sanna-Cherchi S
RP
Ronco P
IK
Iijima K
SM
Sampson MG
Chapter II

Abstract

Summary of the research findings

Pediatric steroid-sensitive nephrotic syndrome (pSSNS) is the most common childhood glomerular disease. Previous genome-wide association studies (GWAS) identified a risk locus in the HLA Class II region and three additional independent risk loci. But the genetic architecture of pSSNS, and its genetically driven pathobiology, is largely unknown. Here, we conduct a multi-population GWAS meta-analysis in 38,463 participants (2440 cases). We then conduct conditional analyses and population specific GWAS. We discover twelve significant associations-eight from the multi-population meta-analysis (four novel), two from the multi-population conditional analysis (one novel), and two additional novel loci from the European meta-analysis. Fine-mapping implicates specific amino acid haplotypes in HLA-DQA1 and HLA-DQB1 driving the HLA Class II risk locus. Non-HLA loci colocalize with eQTLs of monocytes and numerous T-cell subsets in independent datasets. Colocalization with kidney eQTLs is lacking but overlap with kidney cell open chromatin suggests an uncharacterized disease mechanism in kidney cells. A polygenic risk score (PRS) associates with earlier disease onset. Altogether, these discoveries expand our knowledge of pSSNS genetic architecture across populations and provide cell-specific insights into its molecular drivers. Evaluating these associations in additional cohorts will refine our understanding of population specificity, heterogeneity, and clinical and molecular associations.

674 European ancestry cases, 6,817 European ancestry controls, 109 African ancestry cases, 7,514 African ancestry controls, 1,311 East Asian ancestry cases, 7,780 East Asian ancestry controls, 193 South Asian ancestry cases, 436 South Asian ancestry controls, 55 Maghrebian ancestry cases, 228 Maghrebian ancestry controls, 98 Other admixed ancestry ancestry cases, 13,248 Other admixed ancestry ancestry controls

Chapter III

Study Statistics

Key metrics and study information

38463
Total Participants
GWAS
Study Type
No
Replicated
European, African unspecified, East Asian, South Asian, Greater Middle Eastern (Middle Eastern, North African or Persian), Other admixed ancestry
Ancestry
U.S., France, Japan, Thailand, Republic of Korea, India
Recruitment Country
Chapter IV

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