2019
DOI: 10.1038/s41593-019-0530-0
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Exome sequencing in amyotrophic lateral sclerosis implicates a novel gene, DNAJC7, encoding a heat-shock protein

Abstract: To discover novel genes underlying amyotrophic lateral sclerosis (ALS), we aggregated exomes from 3,864 cases and 7,839 ancestry matched controls. We observed a significant excess of rare protein-truncating variants among ALS cases, which was concentrated in constrained genes. Through gene level analyses, we replicated known ALS genes including SOD1, NEK1, and FUS. We also observed multiple distinct protein-truncating variants in a highly constrained gene, DNAJC7. The signal in DNAJC7 exceeded genome-wide sign… Show more

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Cited by 111 publications
(96 citation statements)
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References 57 publications
(51 reference statements)
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“…DNAJB5 was recently identified as a candidate gene for hereditary myoclonus and progressive distal muscular atrophy [37], but its pathogenic role awaits confirmation. DNAJC7, on the other hand, is emerging as a candidate gene for amyotrophic lateral sclerosis (ALS) [38].…”
Section: J-domain Proteinsmentioning
confidence: 99%
“…DNAJB5 was recently identified as a candidate gene for hereditary myoclonus and progressive distal muscular atrophy [37], but its pathogenic role awaits confirmation. DNAJC7, on the other hand, is emerging as a candidate gene for amyotrophic lateral sclerosis (ALS) [38].…”
Section: J-domain Proteinsmentioning
confidence: 99%
“…In another recent study, DNAJC7 protein-truncating variants were identified in 8 out of 5,095 (0.16%) ALS patients. 1 These findings suggest that DNAJC7 mutations are not a common cause of ALS.…”
Section: Discussionmentioning
confidence: 95%
“…Similar DNAJC7 LOF mutation, p.R156*, has been demonstrated with significantly reduced protein production in vitro. 1 The DNAJC7 p.Q134Rfs*6 mutation was identified in one of the 254 unexplained sporadic ALS patients (0.4%). In another recent study, DNAJC7 protein-truncating variants were identified in 8 out of 5,095 (0.16%) ALS patients.…”
Section: Discussionmentioning
confidence: 99%
“…The genetics of ALS has proven challenging, and even though great progress has been made by generating and analysing large multi-omics datasets [36,[62][63][64][65][66][67][68][69][70][71], the causes of ALS in most patients (~85%) remain unexplained. Using machine learning models to leverage our current knowledge of ALS and other diseases could allow us to accelerate our progress in the understanding of the genetic causes of ALS and lead towards new avenues of treatment.…”
Section: Discussionmentioning
confidence: 99%