Functional characterisation of the amyotrophic lateral sclerosis risk locus GPX3/TNIP1
Publication date
2022-01-19
Authors
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
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Advisors
Supervisors
Document Type
Article
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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 < 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.
Keywords
Computational biology, Disease progression, Genes, Genome-wide association study, MND, Motor neurone disease, Neurodegenerative diseases, Quantitative trait loci, Regulator, Zebrafish, Molecular Medicine, Molecular Biology, Genetics, Genetics(clinical)
Citation
Restuadi, R, Steyn, F J, Kabashi, E, Ngo, S T, Cheng, F-F, Nabais, M F, Thompson, M J, Qi, T, Wu, Y, Henders, A K, Wallace, L, Bye, C R, Turner, B J, Ziser, L, Mathers, S, McCombe, P A, Needham, M, Schultz, D, Kiernan, M C, van Rheenen, W, van den Berg, L H, Veldink, J H, Ophoff, R, Gusev, A, Zaitlen, N, McRae, A F, Henderson, R D, Wray, N R, Giacomotto, J & Garton, F C 2022, 'Functional characterisation of the amyotrophic lateral sclerosis risk locus GPX3/TNIP1', Genome Medicine, vol. 14, no. 1, 7, pp. 1-22. https://doi.org/10.1186/s13073-021-01006-6