TY - JOUR
T1 - Functional characterisation of the amyotrophic lateral sclerosis risk locus GPX3/TNIP1
AU - Restuadi, Restuadi
AU - Steyn, Frederik J.
AU - Kabashi, Edor
AU - Ngo, Shyuan T.
AU - Cheng, Fei Fei
AU - Nabais, Marta F.
AU - Thompson, Mike J.
AU - Qi, Ting
AU - Wu, Yang
AU - Henders, Anjali K.
AU - Wallace, Leanne
AU - Bye, Chris R.
AU - Turner, Bradley J.
AU - Ziser, Laura
AU - Mathers, Susan
AU - McCombe, Pamela A.
AU - Needham, Merrilee
AU - Schultz, David
AU - Kiernan, Matthew C.
AU - van Rheenen, Wouter
AU - van den Berg, Leonard H.
AU - Veldink, Jan H.
AU - Ophoff, Roel
AU - Gusev, Alexander
AU - Zaitlen, Noah
AU - McRae, Allan F.
AU - Henderson, Robert D.
AU - Wray, Naomi R.
AU - Giacomotto, Jean
AU - Garton, Fleur C.
PY - 2022
Y1 - 2022
N2 - 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.
AB - 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.
KW - Computational biology
KW - Disease progression
KW - Genes
KW - Genome-wide association study
KW - MND
KW - Motor neurone disease
KW - Neurodegenerative diseases
KW - Quantitative trait loci
KW - Regulator
KW - Zebrafish
UR - http://www.scopus.com/inward/record.url?scp=85122995730&partnerID=8YFLogxK
UR - http://purl.org/au-research/grants/NHMRC/1078901
UR - http://purl.org/au-research/grants/NHMRC/1113400
UR - http://purl.org/au-research/grants/NHMRC/1087889
UR - http://purl.org/au-research/grants/NHMRC/1121962
UR - http://purl.org/au-research/grants/NHMRC/1132524
UR - http://purl.org/au-research/grants/NHMRC/1153439
UR - http://purl.org/au-research/grants/NHMRC/1156093
UR - http://purl.org/au-research/grants/NHMRC/1165850
UR - http://purl.org/au-research/grants/NHMRC/1174145
U2 - 10.1186/s13073-021-01006-6
DO - 10.1186/s13073-021-01006-6
M3 - Article
AN - SCOPUS:85122995730
SN - 1756-994X
VL - 14
JO - Genome Medicine
JF - Genome Medicine
M1 - 7
ER -