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Functional characterisation of the amyotrophic lateral sclerosis risk locus GPX3/TNIP1

Authors :
Restuadi Restuadi
Frederik J. Steyn
Edor Kabashi
Shyuan T. Ngo
Fei-Fei Cheng
Marta F. Nabais
Mike J. Thompson
Ting Qi
Yang Wu
Anjali K. Henders
Leanne Wallace
Chris R. Bye
Bradley J. Turner
Laura Ziser
Susan Mathers
Pamela A. McCombe
Merrilee Needham
David Schultz
Matthew C. Kiernan
Wouter van Rheenen
Leonard H. van den Berg
Jan H. Veldink
Roel Ophoff
Alexander Gusev
Noah Zaitlen
Allan F. McRae
Robert D. Henderson
Naomi R. Wray
Jean Giacomotto
Fleur C. Garton
Gestionnaire, Hal Sorbonne Université
Institute for Molecular Bioscience
University of Queensland [Brisbane]
School of Biomedical Sciences, The University of Queensland, Brisbane, QLD, 4072, Australia.
Royal Brisbane & Women's Hospital
Centre for Clinical Research [Brisbane]
Imagine - Institut des maladies génétiques (IHU) (Imagine - U1163)
Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris Cité (UPCité)
Institut du Cerveau = Paris Brain Institute (ICM)
Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP]
Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)
Queensland Brain Institute
Australian Institute for Bioengineering and Nanotechnology (AIBN)
University of Exeter Medical School
University of Exeter
Computer Science Department [Los Angeles] (UCLA)
University of California [Los Angeles] (UCLA)
University of California (UC)-University of California (UC)
The Florey Institute of Neuroscience and Mental Health
University of Melbourne
Fiona Stanley Hospital [Murdoch]
The University of Notre Dame [Sydney]
Institute for Immunology & Infectious Diseases
Royal Perth Hospital-Murdoch University
Flinders University Medical Centre [Bedford Park, SA, Australia] (FUMC)
Royal Prince Alfred Hospital (RPAH - SYDNEY)
Utrecht Brain Center [UMC]
University Medical Center [Utrecht]
Dana-Farber Cancer Institute [Boston]
Brigham & Women’s Hospital [Boston] (BWH)
Harvard Medical School [Boston] (HMS)
Department of Neurology [UCLA]
University of California (UC)-University of California (UC)-David Geffen School of Medicine [Los Angeles]
University of California [San Francisco] (UC San Francisco)
University of California (UC)
Queensland Centre for Mental Health Research
Source :
Genome Medicine, Genome Medicine, 2022, 14 (1), pp.7. ⟨10.1186/s13073-021-01006-6⟩, Genome medicine, vol 14, iss 1, Genome Medicine, Vol 14, Iss 1, Pp 1-22 (2022)
Publication Year :
2022
Publisher :
Springer Science and Business Media LLC, 2022.

Abstract

Background Amyotrophic lateral sclerosis (ALS) is a complex, late-onset, neurodegenerative disease with a genetic contribution to disease liability. Genome-wide association studies (GWAS) have identified ten risk loci to date, including the TNIP1/GPX3 locus on chromosome five. Given association analysis data alone cannot determine the most plausible risk gene for this locus, we undertook a comprehensive suite of in silico, in vivo and in vitro studies to address this. Methods The Functional Mapping and Annotation (FUMA) pipeline and five tools (conditional and joint analysis (GCTA-COJO), Stratified Linkage Disequilibrium Score Regression (S-LDSC), Polygenic Priority Scoring (PoPS), Summary-based Mendelian Randomisation (SMR-HEIDI) and transcriptome-wide association study (TWAS) analyses) were used to perform bioinformatic integration of GWAS data (Ncases = 20,806, Ncontrols = 59,804) with ‘omics reference datasets including the blood (eQTLgen consortium N = 31,684) and brain (N = 2581). This was followed up by specific expression studies in ALS case-control cohorts (microarray Ntotal = 942, protein Ntotal = 300) and gene knockdown (KD) studies of human neuronal iPSC cells and zebrafish-morpholinos (MO). Results SMR analyses implicated both TNIP1 and GPX3 (p < 1.15 × 10−6), but there was no simple SNP/expression relationship. Integrating multiple datasets using PoPS supported GPX3 but not TNIP1. In vivo expression analyses from blood in ALS cases identified that lower GPX3 expression correlated with a more progressed disease (ALS functional rating score, p = 5.5 × 10−3, adjusted R2 = 0.042, Beffect = 27.4 ± 13.3 ng/ml/ALSFRS unit) with microarray and protein data suggesting lower expression with risk allele (recessive model p = 0.06, p = 0.02 respectively). Validation in vivo indicated gpx3 KD caused significant motor deficits in zebrafish-MO (mean difference vs. control ± 95% CI, vs. control, swim distance = 112 ± 28 mm, time = 1.29 ± 0.59 s, speed = 32.0 ± 2.53 mm/s, respectively, p for all gpx3 expression, with no phenotype identified with tnip1 KD or gpx3 overexpression. Conclusions These results support GPX3 as a lead ALS risk gene in this locus, with more data needed to confirm/reject a role for TNIP1. This has implications for understanding disease mechanisms (GPX3 acts in the same pathway as SOD1, a well-established ALS-associated gene) and identifying new therapeutic approaches. Few previous examples of in-depth investigations of risk loci in ALS exist and a similar approach could be applied to investigate future expected GWAS findings.

Details

ISSN :
1756994X
Volume :
14
Database :
OpenAIRE
Journal :
Genome Medicine
Accession number :
edsair.doi.dedup.....a335193e51956ec6bbacb223e01a8080