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Functional characterisation of the amyotrophic lateral sclerosis risk locus GPX3/TNIP1.
Restuadi, Restuadi; Steyn, Frederik J; Kabashi, Edor; Ngo, Shyuan T; Cheng, Fei-Fei; Nabais, Marta F; Thompson, Mike J; Qi, Ting; Wu, Yang; Henders, Anjali K; Wallace, Leanne; Bye, Chris R; Turner, Bradley J; Ziser, Laura; Mathers, Susan; McCombe, Pamela A; Needham, Merrilee; Schultz, David; Kiernan, Matthew C; van Rheenen, Wouter; van den Berg, Leonard H; Veldink, Jan H; Ophoff, Roel; Gusev, Alexander; Zaitlen, Noah; McRae, Allan F; Henderson, Robert D; Wray, Naomi R; Giacomotto, Jean; Garton, Fleur C.
Affiliation
  • Restuadi R; Institute for Molecular Bioscience, The University of Queensland, QLD, Brisbane, 4072, Australia.
  • Steyn FJ; School of Biomedical Sciences, The University of Queensland, QLD, Brisbane, 4072, Australia.
  • Kabashi E; Department of Neurology, Royal Brisbane and Women's Hospital, QLD, Brisbane, 4029, Australia.
  • Ngo ST; Centre for Clinical Research, The University of Queensland, QLD, Brisbane, 4019, Australia.
  • Cheng FF; Imagine Institute, Institut National de la Santé et de la Recherche Médicale (INSERM) Unité 1163, Paris Descartes Université, 75015, Paris, France.
  • Nabais MF; Sorbonne Université, Université Pierre et Marie Curie (UPMC), Université de Paris 06, INSERM Unité 1127, Centre National de la Recherche Scientifique (CNRS) Unité Mixte de Recherche 7225, Institut du Cerveau et de la Moelle Épinière (ICM), 75013, Paris, France.
  • Thompson MJ; Centre for Clinical Research, The University of Queensland, QLD, Brisbane, 4019, Australia.
  • Qi T; Queensland Brain Institute, The University of Queensland, QLD, Brisbane, 4072, Australia.
  • Wu Y; Australian Institute for Bioengineering and Nanotechnology, The University of Queensland, QLD, Brisbane, 4072, Australia.
  • Henders AK; Institute for Molecular Bioscience, The University of Queensland, QLD, Brisbane, 4072, Australia.
  • Wallace L; Institute for Molecular Bioscience, The University of Queensland, QLD, Brisbane, 4072, Australia.
  • Bye CR; University of Exeter Medical School, RILD Building, RD&E Hospital Wonford, Barrack Road, Exeter, EX2 5DW, UK.
  • Turner BJ; Department of Computer Science, University of California Los Angeles, Los Angeles, CA, USA.
  • Ziser L; Department of Bioinformatics, University of California Los Angeles, Los Angeles, CA, USA.
  • Mathers S; Institute for Molecular Bioscience, The University of Queensland, QLD, Brisbane, 4072, Australia.
  • McCombe PA; Institute for Molecular Bioscience, The University of Queensland, QLD, Brisbane, 4072, Australia.
  • Needham M; Institute for Molecular Bioscience, The University of Queensland, QLD, Brisbane, 4072, Australia.
  • Schultz D; Institute for Molecular Bioscience, The University of Queensland, QLD, Brisbane, 4072, Australia.
  • Kiernan MC; Florey Institute for Neuroscience and Mental Health, University of Melbourne, Melbourne, VIC, 3052, Australia.
  • van Rheenen W; Florey Institute for Neuroscience and Mental Health, University of Melbourne, Melbourne, VIC, 3052, Australia.
  • van den Berg LH; Institute for Molecular Bioscience, The University of Queensland, QLD, Brisbane, 4072, Australia.
  • Veldink JH; Calvary Health Care Bethlehem, Parkdale, VIC, 3195, Australia.
  • Ophoff R; Department of Neurology, Royal Brisbane and Women's Hospital, QLD, Brisbane, 4029, Australia.
  • Gusev A; Centre for Clinical Research, The University of Queensland, QLD, Brisbane, 4019, Australia.
  • Zaitlen N; Fiona Stanley Hospital, Perth, WA, 6150, Australia.
  • McRae AF; Notre Dame University, Fremantle, WA, 6160, Australia.
  • Henderson RD; Institute for Immunology and Infectious Diseases, Murdoch University, Perth, WA, 6150, Australia.
  • Wray NR; Department of Neurology, Flinders Medical Centre, Bedford Park, SA, 5042, Australia.
  • Giacomotto J; Brain & Mind Centre, University of Sydney, Institute of Clinical Neurosciences, Royal Prince Alfred Hospital, Sydney, NSW, 2006, Australia.
  • Garton FC; Department of Neurology, University Medical Center Utrecht Brain Center, Utrecht University, Utrecht, The Netherlands.
Genome Med ; 14(1): 7, 2022 01 19.
Article in En | MEDLINE | ID: mdl-35042540
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 < 0.0001), which were rescued with 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.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Neurodegenerative Diseases / Amyotrophic Lateral Sclerosis Type of study: Clinical_trials / Etiology_studies / Prognostic_studies / Risk_factors_studies Limits: Animals / Humans Language: En Journal: Genome Med Year: 2022 Type: Article Affiliation country: Australia

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Neurodegenerative Diseases / Amyotrophic Lateral Sclerosis Type of study: Clinical_trials / Etiology_studies / Prognostic_studies / Risk_factors_studies Limits: Animals / Humans Language: En Journal: Genome Med Year: 2022 Type: Article Affiliation country: Australia