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Showing papers by "John B.J. Kwok published in 2019"


Journal ArticleDOI
TL;DR: These data provide the most comprehensive survey of genetic risk within Parkinson's disease to date, providing a biological context for these risk factors, and showing that a considerable genetic component of this disease remains unidentified.
Abstract: Summary Background Genome-wide association studies (GWAS) in Parkinson's disease have increased the scope of biological knowledge about the disease over the past decade. We aimed to use the largest aggregate of GWAS data to identify novel risk loci and gain further insight into the causes of Parkinson's disease. Methods We did a meta-analysis of 17 datasets from Parkinson's disease GWAS available from European ancestry samples to nominate novel loci for disease risk. These datasets incorporated all available data. We then used these data to estimate heritable risk and develop predictive models of this heritability. We also used large gene expression and methylation resources to examine possible functional consequences as well as tissue, cell type, and biological pathway enrichments for the identified risk factors. Additionally, we examined shared genetic risk between Parkinson's disease and other phenotypes of interest via genetic correlations followed by Mendelian randomisation. Findings Between Oct 1, 2017, and Aug 9, 2018, we analysed 7·8 million single nucleotide polymorphisms in 37 688 cases, 18 618 UK Biobank proxy-cases (ie, individuals who do not have Parkinson's disease but have a first degree relative that does), and 1·4 million controls. We identified 90 independent genome-wide significant risk signals across 78 genomic regions, including 38 novel independent risk signals in 37 loci. These 90 variants explained 16–36% of the heritable risk of Parkinson's disease depending on prevalence. Integrating methylation and expression data within a Mendelian randomisation framework identified putatively associated genes at 70 risk signals underlying GWAS loci for follow-up functional studies. Tissue-specific expression enrichment analyses suggested Parkinson's disease loci were heavily brain-enriched, with specific neuronal cell types being implicated from single cell data. We found significant genetic correlations with brain volumes (false discovery rate-adjusted p=0·0035 for intracranial volume, p=0·024 for putamen volume), smoking status (p=0·024), and educational attainment (p=0·038). Mendelian randomisation between cognitive performance and Parkinson's disease risk showed a robust association (p=8·00 × 10−7). Interpretation These data provide the most comprehensive survey of genetic risk within Parkinson's disease to date, to the best of our knowledge, by revealing many additional Parkinson's disease risk loci, providing a biological context for these risk factors, and showing that a considerable genetic component of this disease remains unidentified. These associations derived from European ancestry datasets will need to be followed-up with more diverse data. Funding The National Institute on Aging at the National Institutes of Health (USA), The Michael J Fox Foundation, and The Parkinson's Foundation (see appendix for full list of funding sources).

1,152 citations


Journal ArticleDOI
TL;DR: This paper identified common genetic variation related to the volumes of the nucleus accumbens, amygdala, brainstem, caudate nucleus, globus pallidus, putamen and thalamus using genome-wide association analyses in almost 40,000 individuals from CHARGE, ENIGMA and UK Biobank.
Abstract: Subcortical brain structures are integral to motion, consciousness, emotions and learning. We identified common genetic variation related to the volumes of the nucleus accumbens, amygdala, brainstem, caudate nucleus, globus pallidus, putamen and thalamus, using genome-wide association analyses in almost 40,000 individuals from CHARGE, ENIGMA and UK Biobank. We show that variability in subcortical volumes is heritable, and identify 48 significantly associated loci (40 novel at the time of analysis). Annotation of these loci by utilizing gene expression, methylation and neuropathological data identified 199 genes putatively implicated in neurodevelopment, synaptic signaling, axonal transport, apoptosis, inflammation/infection and susceptibility to neurological disorders. This set of genes is significantly enriched for Drosophila orthologs associated with neurodevelopmental phenotypes, suggesting evolutionarily conserved mechanisms. Our findings uncover novel biology and potential drug targets underlying brain development and disease.

171 citations


Journal ArticleDOI
TL;DR: This study indicates that the epigenetic clock can be improved by increasing the training sample size and that its association with mortality attenuates with increased prediction of chronological age.
Abstract: DNA methylation changes with age. Chronological age predictors built from DNA methylation are termed ‘epigenetic clocks’. The deviation of predicted age from the actual age (‘age acceleration residual’, AAR) has been reported to be associated with death. However, it is currently unclear how a better prediction of chronological age affects such association. In this study, we build multiple predictors based on training DNA methylation samples selected from 13,661 samples (13,402 from blood and 259 from saliva). We use the Lothian Birth Cohorts of 1921 (LBC1921) and 1936 (LBC1936) to examine whether the association between AAR (from these predictors) and death is affected by (1) improving prediction accuracy of an age predictor as its training sample size increases (from 335 to 12,710) and (2) additionally correcting for confounders (i.e., cellular compositions). In addition, we investigated the performance of our predictor in non-blood tissues. We found that in principle, a near-perfect age predictor could be developed when the training sample size is sufficiently large. The association between AAR and mortality attenuates as prediction accuracy increases. AAR from our best predictor (based on Elastic Net, https://github.com/qzhang314/DNAm-based-age-predictor ) exhibits no association with mortality in both LBC1921 (hazard ratio = 1.08, 95% CI 0.91–1.27) and LBC1936 (hazard ratio = 1.00, 95% CI 0.79–1.28). Predictors based on small sample size are prone to confounding by cellular compositions relative to those from large sample size. We observed comparable performance of our predictor in non-blood tissues with a multi-tissue-based predictor. This study indicates that the epigenetic clock can be improved by increasing the training sample size and that its association with mortality attenuates with increased prediction of chronological age.

158 citations


Journal ArticleDOI
Cyril Pottier1, Yingxue Ren1, Ralph B. Perkerson1, Matt Baker1, Gregory D. Jenkins1, Marka van Blitterswijk1, Mariely DeJesus-Hernandez1, Jeroen van Rooij2, Melissa E. Murray1, Elizabeth Christopher1, Shannon K. McDonnell1, Zachary C. Fogarty1, Anthony Batzler1, Shulan Tian1, Cristina T. Vicente1, Billie J. Matchett1, Anna Karydas3, Ging-Yuek Robin Hsiung4, Harro Seelaar2, Merel O. Mol2, Elizabeth Finger5, Caroline Graff6, Linn Öijerstedt6, Manuela Neumann7, Manuela Neumann8, Peter Heutink7, Peter Heutink8, Matthis Synofzik8, Matthis Synofzik7, Carlo Wilke8, Carlo Wilke7, Johannes Prudlo7, Johannes Prudlo9, Patrizia Rizzu7, Javier Simón-Sánchez7, Javier Simón-Sánchez8, Dieter Edbauer7, Sigrun Roeber10, Janine Diehl-Schmid11, Bret M. Evers12, Andy King13, Andy King14, M.-Marsel Mesulam15, Sandra Weintraub15, Changiz Geula15, Kevin F. Bieniek1, Kevin F. Bieniek16, Leonard Petrucelli1, Geoffrey L. Ahern17, Eric M. Reiman, Bryan K. Woodruff1, Richard J. Caselli1, Edward D. Huey18, Martin R. Farlow19, Jordan Grafman15, Simon Mead20, Lea T. Grinberg3, Salvatore Spina3, Murray Grossman21, David J. Irwin21, Edward B. Lee21, EunRan Suh21, Julie S. Snowden, David G. Mann22, Nilufer Ertekin-Taner1, Ryan J. Uitti1, Zbigniew K. Wszolek1, Keith A. Josephs1, Joseph E. Parisi1, David S. Knopman1, Ronald C. Petersen1, John R. Hodges23, Olivier Piguet23, Ethan G. Geier3, Jennifer S. Yokoyama3, Robert A. Rissman24, Ekaterina Rogaeva25, Julia Keith25, Lorne Zinman25, Maria Carmela Tartaglia25, Maria Carmela Tartaglia26, Nigel J. Cairns27, Carlos Cruchaga27, Bernardino Ghetti19, Julia Kofler28, Oscar L. Lopez28, Oscar L. Lopez17, Thomas G. Beach, Thomas Arzberger7, Thomas Arzberger10, Jochen Herms10, Jochen Herms7, Lawrence S. Honig18, Jean Paul G. Vonsattel18, Glenda M. Halliday29, Glenda M. Halliday23, John B.J. Kwok29, John B.J. Kwok23, Charles L. White12, Marla Gearing30, Jonathan D. Glass30, Sara Rollinson22, Stuart Pickering-Brown22, Jonathan D. Rohrer31, John Q. Trojanowski21, Vivianna M. Van Deerlin21, Eileen H. Bigio15, Claire Troakes14, Safa Al-Sarraj14, Safa Al-Sarraj13, Yan W. Asmann1, Bruce L. Miller3, Neill R. Graff-Radford1, Bradley F. Boeve1, William W. Seeley3, Ian R. A. Mackenzie4, John C. van Swieten2, Dennis W. Dickson1, Joanna M. Biernacka1, Rosa Rademakers1 
TL;DR: A possible role for genes functioning within the TBK1-related immune pathway (e.g., DHX58, TRIM21, IRF7) in the genetic etiology of FTLD-TDP is discovered and strongly implicates the immune pathway in FTLD/TDP pathogenesis.
Abstract: Frontotemporal lobar degeneration with neuronal inclusions of the TAR DNA-binding protein 43 (FTLD-TDP) represents the most common pathological subtype of FTLD. We established the international FTLD-TDP whole-genome sequencing consortium to thoroughly characterize the known genetic causes of FTLD-TDP and identify novel genetic risk factors. Through the study of 1131 unrelated Caucasian patients, we estimated that C9orf72 repeat expansions and GRN loss-of-function mutations account for 25.5% and 13.9% of FTLD-TDP patients, respectively. Mutations in TBK1 (1.5%) and other known FTLD genes (1.4%) were rare, and the disease in 57.7% of FTLD-TDP patients was unexplained by the known FTLD genes. To unravel the contribution of common genetic factors to the FTLD-TDP etiology in these patients, we conducted a two-stage association study comprising the analysis of whole-genome sequencing data from 517 FTLD-TDP patients and 838 controls, followed by targeted genotyping of the most associated genomic loci in 119 additional FTLD-TDP patients and 1653 controls. We identified three genome-wide significant FTLD-TDP risk loci: one new locus at chromosome 7q36 within the DPP6 gene led by rs118113626 (p value = 4.82e − 08, OR = 2.12), and two known loci: UNC13A, led by rs1297319 (p value = 1.27e − 08, OR = 1.50) and HLA-DQA2 led by rs17219281 (p value = 3.22e − 08, OR = 1.98). While HLA represents a locus previously implicated in clinical FTLD and related neurodegenerative disorders, the association signal in our study is independent from previously reported associations. Through inspection of our whole-genome sequence data for genes with an excess of rare loss-of-function variants in FTLD-TDP patients (n ≥ 3) as compared to controls (n = 0), we further discovered a possible role for genes functioning within the TBK1-related immune pathway (e.g., DHX58, TRIM21, IRF7) in the genetic etiology of FTLD-TDP. Together, our study based on the largest cohort of unrelated FTLD-TDP patients assembled to date provides a comprehensive view of the genetic landscape of FTLD-TDP, nominates novel FTLD-TDP risk loci, and strongly implicates the immune pathway in FTLD-TDP pathogenesis.

72 citations


01 Jan 2019
TL;DR: A genome-wide association study for general cognitive function in 300,486 individuals is performed and genetic loci that implicate neural and cell developmental pathways in this trait are identified.
Abstract: General cognitive function is a prominent and relatively stable human trait that is associated with many important life outcomes. We combine cognitive and genetic data from the CHARGE and COGENT consortia, and UK Biobank (total N = 300,486; age 16–102) and find 148 genome-wide significant independent loci (P < 5 × 10−8) associated with general cognitive function. Within the novel genetic loci are variants associated with neurodegenerative and neurodevelopmental disorders, physical and psychiatric illnesses, and brain structure. Gene-based analyses find 709 genes associated with general cognitive function. Expression levels across the cortex are associated with general cognitive function. Using polygenic scores, up to 4.3% of variance in general cognitive function is predicted in independent samples. We detect significant genetic overlap between general cognitive function, reaction time, and many health variables including eyesight, hypertension, and longevity. In conclusion we identify novel genetic loci and pathways contributing to the heritability of general cognitive function.Cognitive function is associated with health and important life outcomes. Here, the authors perform a genome-wide association study for general cognitive function in 300,486 individuals and identify genetic loci that implicate neural and cell developmental pathways in this trait.

33 citations


Journal ArticleDOI
Ganesh Chauhan1, Ganesh Chauhan2, Adams Hhh.3, Claudia L. Satizabal  +169 moreInstitutions (68)
TL;DR: This multiethnic GWAS meta-analysis, including over 20,000 population-based participants, has identified genetic risk loci for BI requiring validation once additional large datasets become available.
Abstract: Objective To explore genetic and lifestyle risk factors of MRI-defined brain infarcts (BI) in large population-based cohorts. Methods We performed meta-analyses of genome-wide association studies (GWAS) and examined associations of vascular risk factors and their genetic risk scores (GRS) with MRI-defined BI and a subset of BI, namely, small subcortical BI (SSBI), in 18 population-based cohorts (n = 20,949) from 5 ethnicities (3,726 with BI, 2,021 with SSBI). Top loci were followed up in 7 population-based cohorts (n = 6,862; 1,483 with BI, 630 with SBBI), and we tested associations with related phenotypes including ischemic stroke and pathologically defined BI. Results The mean prevalence was 17.7% for BI and 10.5% for SSBI, steeply rising after age 65. Two loci showed genome-wide significant association with BI: FBN2, p = 1.77 × 10−8; and LINC00539/ZDHHC20, p = 5.82 × 10−9. Both have been associated with blood pressure (BP)–related phenotypes, but did not replicate in the smaller follow-up sample or show associations with related phenotypes. Age- and sex-adjusted associations with BI and SSBI were observed for BP traits (p value for BI, p[BI] = 9.38 × 10−25; p[SSBI] = 5.23 × 10−14 for hypertension), smoking (p[BI] = 4.4 × 10−10; p[SSBI] = 1.2 × 10−4), diabetes (p[BI] = 1.7 × 10−8; p[SSBI] = 2.8 × 10−3), previous cardiovascular disease (p[BI] = 1.0 × 10−18; p[SSBI] = 2.3 × 10−7), stroke (p[BI] = 3.9 × 10−69; p[SSBI] = 3.2 × 10−24), and MRI-defined white matter hyperintensity burden (p[BI] = 1.43 × 10−157; p[SSBI] = 3.16 × 10−106), but not with body mass index or cholesterol. GRS of BP traits were associated with BI and SSBI (p ≤ 0.0022), without indication of directional pleiotropy. Conclusion In this multiethnic GWAS meta-analysis, including over 20,000 population-based participants, we identified genetic risk loci for BI requiring validation once additional large datasets become available. High BP, including genetically determined, was the most significant modifiable, causal risk factor for BI.

30 citations


Journal ArticleDOI
TL;DR: The present study identified ALS in 12% of a large cohort of patients with nfvPPA and svPPA, which is comparable to the 10%–15% reported in FTD overall, indicating that a third of Patients with FTD-ALS will have a predominant language profile.
Abstract: Objective To assess the incidence, heritability, and neuropathology of primary progressive aphasia (PPA) with amyotrophic lateral sclerosis (ALS) in a large Australian cohort. Methods A total of 130 patients with a primary nonfluent variant of PPA (nfvPPA) or semantic variant of PPA (svPPA) were assessed for concomitant ALS and a strong family history of neurodegenerative diseases (Goldman score ≤3). Neuropathologic examination was carried out in 28% (n = 36) of these PPA and PPA-ALS cases that had come to autopsy. Results ALS was identified in 18% of patients with nfvPPA and 5% of patients with svPPA. PPA-ALS but not PPA was found to have a strong family history. At autopsy, frontotemporal lobar degeneration (FTLD)–TDP was identified in 100% of nfvPPA-ALS cases, 100% of svPPA-ALS cases, 24% of nfvPPA cases, and 78% of svPPA cases. Clinicopathologic assessments revealed a significant association between a strong family history and underlying FTLD-TDP pathology. Pathogenic mutations in known frontotemporal dementia (FTD)/ALS genes were identified in 100% of these familial PPA cases but only 50% of familial PPA-ALS cases, suggesting the involvement of novel genetic variants in this underacknowledged phenotype. Conclusion The present study identified ALS in 12% of a large cohort of patients with nfvPPA and svPPA, which is comparable to the 10%–15% reported in FTD overall, indicating that a third of patients with FTD-ALS will have a predominant language profile. These findings highlight the importance of assessing for ALS in PPA, particularly since this is the only PPA phenotype in which a perfect clinicopathologic association has been reported in to date.

22 citations


Journal ArticleDOI
TL;DR: Exploring the degree of heritability in a large cohort of frontotemporal lobar degeneration with tau‐immunopositive inclusions and determining if different FTLD‐tau subtypes are associated with stronger heritability will provide important insight into disease pathogenesis.

21 citations


Journal ArticleDOI
TL;DR: Investigation in a large frontotemporal lobar degeneration cohort to determine if concomitant pathologies underlie the heterogeneity of clinical features found that coexisting LBD in FTLD comprises a small proportion of cases but has implications for clinical and neuropathologic diagnoses and the identification of biomarkers.
Abstract: Objective To investigate the prevalence of clinically relevant multiple system atrophy (MSA) and Lewy body disease (LBD) pathologies in a large frontotemporal lobar degeneration (FTLD) cohort to determine if concomitant pathologies underlie the heterogeneity of clinical features. Methods All prospectively followed FTLD-tau and FTLD-TDP cases held by the Sydney Brain Bank (n = 126) were screened for coexisting MSA and LBD (Braak ≥ stage IV) pathology. Relevant clinical (including family history) and genetic associations were determined. Results MSA pathology was not identified in this series. Of the FTLD cohort, 9 cases had coexisting LBD ≥ Braak stage IV and were associated with different FTLD subtypes including Pick disease (n = 2), corticobasal degeneration (n = 2), progressive supranuclear palsy (n = 2), and TDP type A (n = 3). All FTLD-TDP cases with coexisting LBD had mutations in progranulin (n = 2) or an abnormal repeat expansion in C9orf72 (n = 1). All FTLD-tau cases with coexisting LBD were sporadic. The H1H1 MAPT haplotype was found in all cases that could be genotyped (n = 6 of 9). Seven cases presented with a predominant dementia disorder, 3 of which developed parkinsonism. Two cases presented with a movement disorder and developed dementia in their disease course. The age at symptom onset (62 ± 11 years) and disease duration (8 ± 5 years) in FTLD cases with coexisting LBD did not differ from pure FTLD or pure LBD cases in the brain bank. Conclusion Coexisting LBD in FTLD comprises a small proportion of cases but has implications for clinical and neuropathologic diagnoses and the identification of biomarkers.

17 citations


Journal ArticleDOI
TL;DR: It is concluded that patients with ALS or FTD and their at-risk family members, need to be adequately counselled about the limitations of current knowledge to ensure they are making informed decisions about genetic testing for C9orf72.
Abstract: C9orf72 hexanucleotide repeat expansions are the most common known cause of amyotrophic lateral sclerosis (ALS) and frontotemporal dementia (FTD). Genetic testing for C9orf72 expansions in patients...

13 citations


Journal ArticleDOI
Gail Davies1, Max Lam, Sarah E. Harris1, Sarah E. Harris2  +266 moreInstitutions (91)
TL;DR: Christina M. Lill, who contributed to analysis of data, was inadvertently omitted from the author list in the originally published version of this article.
Abstract: Christina M. Lill, who contributed to analysis of data, was inadvertently omitted from the author list in the originally published version of this article. This has now been corrected in both the PDF and HTML versions of the article.

Journal ArticleDOI
18 Mar 2019-Genes
TL;DR: ELL individuals did not have significantly lower polygenic risk for the majority of the investigated cardiovascular health traits, and future work in larger cohorts is required to further explore the role of cardiovascular-related genetic variants in EL.
Abstract: Studies investigating exceptionally long-lived (ELL) individuals, including genetic studies, have linked cardiovascular-related pathways, particularly lipid and cholesterol homeostasis, with longevity. This study explored the genetic profiles of ELL individuals (cases: n = 294, 95–106 years; controls: n = 1105, 55–65 years) by assessing their polygenic risk scores (PRS) based on a genome wide association study (GWAS) threshold of p < 5 × 10−5. PRS were constructed using GWAS summary data from two exceptional longevity (EL) analyses and eight cardiovascular-related risk factors (lipids) and disease (myocardial infarction, coronary artery disease, stroke) analyses. A higher genetic risk for exceptional longevity (EL) was significantly associated with longevity in our sample (odds ratio (OR) = 1.19–1.20, p = 0.00804 and 0.00758, respectively). Two cardiovascular health PRS were nominally significant with longevity (HDL cholesterol, triglycerides), with higher PRS associated with EL, but these relationships did not survive correction for multiple testing. In conclusion, ELL individuals did not have significantly lower polygenic risk for the majority of the investigated cardiovascular health traits. Future work in larger cohorts is required to further explore the role of cardiovascular-related genetic variants in EL.

Posted ContentDOI
19 Sep 2019-bioRxiv
TL;DR: Exome sequencing and immunohistochemically confirmed the expression of SPTLC1 in spinal cord motor neurons, supporting their role in the pathogenesis of this fatal neurological disease and suggesting that nutritional supplementation with serine may be beneficial if instituted at an early stage among patients carrying mutations in SPT LC1.
Abstract: SPTLC1 encodes a critical subunit of serine palmitoyltransferase, the enzyme catalyzing the first and rate-limiting step in de novo sphingolipid biosynthesis, and mutations in this gene are known to cause hereditary sensory autonomic neuropathy, type 1A. Using exome sequencing, we identified a de novo variant in SPTLC1 resulting in a p.Ala20Ser amino acid change in an individual diagnosed with juvenile-onset amyotrophic lateral sclerosis (ALS) and confirmed its pathogenicity by showing elevated plasma levels of neurotoxic deoxymethyl-sphinganine. A second case of juvenile-onset ALS arising again from a p.Ala20Ser mutation was later identified, confirming the association of SPTLC1 with this form of motor neuron disease. We also found SPTLC1 mutations in 0.34% of 5,607 ALS cases, and immunohistochemically confirmed the expression of SPTLC1 in spinal cord motor neurons, supporting their role in the pathogenesis of this fatal neurological disease. We corrected the toxicity of deoxymethyl-sphinganine in HEK293FT cells using L-serine supplementation. Our data broaden the phenotype associated with SPTLC1 and suggest that nutritional supplementation with serine may be beneficial if instituted at an early stage among patients carrying mutations in SPTLC1.

Posted ContentDOI
25 Apr 2019-bioRxiv
TL;DR: It is speculated that - in concert with thalamocortical input to cortical subplate - DAAM1 enables migration of neurons to cytochrome-oxidase rich regions of the visual cortex, and, in turn, facilitates regional expansion of this set of cortical regions during development.
Abstract: Radial unit hypothesis provides a framework for global (proliferation) and regional (distribution) expansion of the primate cerebral cortex. Using principal component analysis (PCA), we have identified cortical regions with shared variance in their surface area and cortical thickness, respectively, segmented from magnetic resonance images obtained in 19,171 participants. We then carried out meta-analyses of genome-wide association studies of the first two principal components for each phenotype. For surface area (but not cortical thickness), we have detected strong associations between each of the components and single nucleotide polymorphisms in a number of gene loci. The first (global) component was associated mainly with loci on chromosome 17 (8.8e-26 ≤ p ≤ 2.3e-14), including those detected previously as linked with intracranial volume. The second (regional) component captured shared variation in the surface area of the primary and adjacent secondary visual cortices and showed a robust association with polymorphisms in a locus on chromosome 14 containing Disheveled Associated Activator of Morphogenesis 1 (DAAM1; p=3.0e-32). DAAM1 is a key component in the planar-cell-polarity signaling pathway. In follow-up studies, we have focused on the latter finding and established that: (1) DAAM1 is highly expressed between 12th and 22nd post-conception weeks in the human cerebral cortex; (2) genes co-expressed with DAAM1 in the primary visual cortex are enriched in mitochondria-related pathways; and (3) volume of the lateral geniculate nucleus, which projects to regions of the visual cortex staining for cytochrome oxidase (a mitochondrial enzyme), correlates with the surface area of the visual cortex in major-allele homozygotes but not in carriers of the minor allele. Altogether, we speculate that, in concert with thalamocortical input to cortical subplate, DAAM1 enables migration of neurons to cytochrome-oxidase rich regions of the visual cortex, and, in turn, facilitates regional expansion of this set of cortical regions during development.

Journal ArticleDOI
TL;DR: Using exome sequencing, a de novo coding variant in SPTLC1 is identified in an individual diagnosed with juvenile-onset amyotrophic lateral sclerosis (ALS), and its pathogenicity is confirmed by showing elevated plasma levels of neurotoxic deoxymethyl-sphinganine.
Abstract: SPTLC1 encodes a critical subunit of serine palmitoyltransferase, the enzyme catalyzing the first and rate-limiting step in de novo sphingolipid biosynthesis, and mutations in this gene are known to cause hereditary sensory autonomic neuropathy, type 1A. Using exome sequencing, we identified a de novo coding variant in SPTLC1 in an individual diagnosed with juvenile-onset amyotrophic lateral sclerosis (ALS), and confirmed its pathogenicity by showing elevated plasma levels of neurotoxic deoxymethyl-sphinganine. We also found SPTLC1 mutations in 0.34% of 5,607 ALS cases, and immunohistochemically confirmed the expression of SPTLC1 in spinal cord motor neurons, supporting their role in the pathogenesis of this fatal neurodegenerative disease. Toxicity of deoxymethyl-sphinganine was demonstrated in HEK293FT cells, and could be corrected by L-serine supplementation. Our data broaden the phenotype associated with SPTLC1. Furthermore, nutritional supplementation with serine may be beneficial if instituted at an early stage among patients carrying mutations in SPTLC1.