2021
DOI: 10.1073/pnas.2115140118
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De novo mutations in childhood cases of sudden unexplained death that disrupt intracellular Ca 2+ regulation

Abstract: Sudden unexplained death in childhood (SUDC) is an understudied problem. Whole-exome sequence data from 124 “trios” (decedent child, living parents) was used to test for excessive de novo mutations (DNMs) in genes involved in cardiac arrhythmias, epilepsy, and other disorders. Among decedents, nonsynonymous DNMs were enriched in genes associated with cardiac and seizure disorders relative to controls (odds ratio = 9.76, P = 2.15 × 10−4). We also found evidence for overtransmission of loss-of-function (LoF) or … Show more

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Cited by 25 publications
(30 citation statements)
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“…Due to the increased risk of seizure associated with APOE genotype [ 41 , 44 ] and its impact on brain development [ 6 ], we evaluated APOE genotype in SUDC cases from previous WES [ 22 ]. Among the 19 SUDC cases, there was 1 APO E2/E3 case, 11 E3/E3, 5 E3/E4, and 2 E4/E4.…”
Section: Resultsmentioning
confidence: 99%
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“…Due to the increased risk of seizure associated with APOE genotype [ 41 , 44 ] and its impact on brain development [ 6 ], we evaluated APOE genotype in SUDC cases from previous WES [ 22 ]. Among the 19 SUDC cases, there was 1 APO E2/E3 case, 11 E3/E3, 5 E3/E4, and 2 E4/E4.…”
Section: Resultsmentioning
confidence: 99%
“…SUDC cases were included from those enrolled in the SUDCRRC from 2015 to 2018 with available brain tissue in the frontal cortex and hippocampus at the level of the lateral geniculate nucleus (LGN) [ 26 , 37 , 49 ]. SUDC cases were excluded ( n = 3) when post-autopsy ancillary analyses identified potential pathogenic whole-exome sequencing (WES) variants that may contribute to COD [ 22 ]. Under IRB approval, de-identified control cases were obtained through partnerships with various medical examiner and coroner offices that were examined from 2012 to 2017 ( n = 8).…”
Section: Methodsmentioning
confidence: 99%
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“…To test the null hypothesis that our cohort contained an expected number of de novo variants in genes without a disease association, we utilized denovolyzeR. [44][45][46] denovolyzeR is an R package which analyzes the rate of de novo variants in a dataset and compares it to an expected variant rate to assess enrichment.…”
Section: De Novo Mutation Calling Filtering and Analysismentioning
confidence: 99%