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

被引:15
作者
Restuadi, Restuadi [1 ]
Steyn, Frederik J. [2 ,3 ,4 ]
Kabashi, Edor [5 ,6 ]
Ngo, Shyuan T. [4 ,7 ,8 ]
Cheng, Fei-Fei [1 ]
Nabais, Marta F. [1 ,9 ]
Thompson, Mike J. [10 ,11 ]
Qi, Ting [1 ]
Wu, Yang [1 ]
Henders, Anjali K. [1 ]
Wallace, Leanne [1 ]
Bye, Chris R. [12 ]
Turner, Bradley J. [12 ]
Ziser, Laura [1 ]
Mathers, Susan [13 ]
McCombe, Pamela A. [3 ,4 ]
Needham, Merrilee [14 ,15 ,16 ]
Schultz, David [17 ]
Kiernan, Matthew C. [18 ]
van Rheenen, Wouter [19 ]
van den Berg, Leonard H. [19 ]
Veldink, Jan H. [19 ]
Ophoff, Roel [10 ,11 ]
Gusev, Alexander [20 ,21 ,22 ]
Zaitlen, Noah [10 ,11 ,23 ,24 ]
McRae, Allan F. [1 ]
Henderson, Robert D. [3 ,4 ,7 ]
Wray, Naomi R. [1 ,7 ]
Giacomotto, Jean [7 ,25 ]
Garton, Fleur C. [1 ]
机构
[1] Univ Queensland, Inst Mol Biosci, Brisbane, Qld 4072, Australia
[2] Univ Queensland, Sch Biomed Sci, Brisbane, Qld 4072, Australia
[3] Royal Brisbane & Womens Hosp, Dept Neurol, Brisbane, Qld 4029, Australia
[4] Univ Queensland, Ctr Clin Res, Brisbane, Qld 4019, Australia
[5] Paris Descartes Univ, Imagine Inst, Inst Natl Sante & Rech Med INSERM Unite 1163, F-75015 Paris, France
[6] Sorbonne Univ, Univ Pierre & Marie Curie UPMC,Univ Paris 06, Ctr Natl Rech Sci CNRS Unite Mixte Rech 7225, Inst Cerveau & Moelle Epiniere ICM,INSERM Unite 1, F-75013 Paris, France
[7] Univ Queensland, Queensland Brain Inst, Brisbane, Qld 4072, Australia
[8] Univ Queensland, Australian Inst Bioengn & Nanotechnol, Brisbane, Qld 4072, Australia
[9] Univ Exeter, Med Sch, RD&E Hosp Wonford, RILD Bldg,Barrack Rd, Exeter EX2 5DW, Devon, England
[10] Univ Calif Los Angeles, Dept Comp Sci, Los Angeles, CA 90024 USA
[11] Univ Calif Los Angeles, Dept Bioinformat, Los Angeles, CA USA
[12] Univ Melbourne, Florey Inst Neurosci & Mental Hlth, Melbourne, Vic 3052, Australia
[13] Calvary Hlth Care Bethlehem, Parkdale, Vic 3195, Australia
[14] Fiona Stanley Hosp, Perth, WA 6150, Australia
[15] Notre Dame Univ, Fremantle, WA 6160, Australia
[16] Murdoch Univ, Inst Immunol & Infect Dis, Perth, WA 6150, Australia
[17] Flinders Med Ctr, Dept Neurol, Bedford Pk, SA 5042, Australia
[18] Univ Sydney, Royal Prince Alfred Hosp, Brain & Mind Ctr, Inst Clin Neurosci, Sydney, NSW 2006, Australia
[19] Univ Utrecht, Univ Med Ctr Utrecht Brain Ctr, Dept Neurol, Utrecht, Netherlands
[20] Dana Farber Canc Inst, Dept Med Oncol, Boston, MA 02115 USA
[21] Harvard Med Sch, Boston, MA 02115 USA
[22] Brigham & Womens Hosp, Div Genet, 75 Francis St, Boston, MA 02115 USA
[23] Univ Calif Los Angeles, Dept Neurol, Los Angeles, CA 90095 USA
[24] Univ Calif San Francisco, Dept Med, San Francisco, CA 94158 USA
[25] West Moreton Hosp & Hlth Serv, Queensland Ctr Mental Hlth Res, Wacol, Qld 4076, Australia
基金
英国医学研究理事会; 欧洲研究理事会;
关键词
Motor neurone disease; MND; Genome-wide association study; Computational biology; Zebrafish; Neurodegenerative diseases; Quantitative trait loci; Genes; Regulator; Disease progression; GENOME-WIDE ASSOCIATION; ANALYSES IDENTIFY; GENE-EXPRESSION; GLUTATHIONE-PEROXIDASE; ALS; DISEASE; ARCHITECTURE; VARIANTS; PLATELET; EQTL;
D O I
10.1186/s13073-021-01006-6
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
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 (N-cases = 20,806, N-controls = 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 N-total = 942, protein N-total = 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 x 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 x 10(-3), adjusted R-2 = 0.042, B-effect = 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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