2020
DOI: 10.1016/j.ejmg.2020.104029
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ISL1 loss-of-function variation causes familial atrial fibrillation

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Cited by 13 publications
(16 citation statements)
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“…The truncating variation was neither detected in 612 referential chromosomes nor retrieved in the Single Nucleotide Polymorphism database , the Single Nucleotide Polymorphism database , the Human Gene Mutation Database , the 1000 Genomes Project database or the UK Biobank database . Functional research unveiled that Glu125 * -mutant PRRX1 lost transcriptional activation on the promoters of SHOX2 and ISL1 , two genes where variations have been discovered to result in AF and CHD ( Blaschke et al , 2007 ; Hoffmann et al , 2016 , 2019 ; Li et al , 2018 ; Ma et al , 2019 ; Wang et al , 2019 ; Wu et al , 2020 ). These findings indicate that genetically defective PRRX1 contributes to AF and PDA in this family.…”
Section: Discussionmentioning
confidence: 99%
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“…The truncating variation was neither detected in 612 referential chromosomes nor retrieved in the Single Nucleotide Polymorphism database , the Single Nucleotide Polymorphism database , the Human Gene Mutation Database , the 1000 Genomes Project database or the UK Biobank database . Functional research unveiled that Glu125 * -mutant PRRX1 lost transcriptional activation on the promoters of SHOX2 and ISL1 , two genes where variations have been discovered to result in AF and CHD ( Blaschke et al , 2007 ; Hoffmann et al , 2016 , 2019 ; Li et al , 2018 ; Ma et al , 2019 ; Wang et al , 2019 ; Wu et al , 2020 ). These findings indicate that genetically defective PRRX1 contributes to AF and PDA in this family.…”
Section: Discussionmentioning
confidence: 99%
“…Functional analysis of the S140G-mutant KCNQ1 unveiled a gain-of-function impact on the currents of KCNQ1 /KCNE1 and KCNQ1 /KCNE2 channels, which significantly shorten the action potential duration of atrial myocytes thereby increasing the vulnerability to AF ( Chen et al , 2003 ). Up to now, in addition to the association of ~140 genetic loci with increased predisposition to AF revealed by genome-wide association studies ( Kim et al , 2021 ), rare variations in over 50 distinct genes have been discovered to contribute to AF, amidst which the majority encode cardiac potassium ion channels, sodium channels, gap junction channels, calcium channels, signaling molecules, structural proteins and transcription factors ( Choi et al , 2020 ; Ghazizadeh et al , 2020 ; Hansen et al , 2020 ; Huang et al , 2020 ; Jiang et al , 2020 ; Ragab et al , 2020 ; Roselli et al , 2020 ; van Ouwerkerk et al , 2020 ; Wu et al , 2020 ; Yang et al , 2020 ; Chalazan et al , 2021 ; Lazarte et al , 2021 ; Li et al , 2021a , b ; Ziki et al , 2021 ). Interestingly, multiple variations in or near the PRRX1 gene, has recently been associated with an enhanced susceptibility to AF in humans ( Tucker et al , 2017 ; Guo et al , 2021 ; Wu et al , 2021 ).…”
Section: Introductionmentioning
confidence: 99%
“…Whole-exome sequencing (WES) was performed as previously described. 50,51) Briefly, each exome library was constructed using 3 μg of genomic DNA and captured using the SureSelect XT Human All Exon V6 Kit (Agilent Technologies, Santa Clara, CA, USA) according to the manufacturer's protocol. The constructed exome libraries were enriched and sequenced on the Illumina HiSeq 2000 Genome Analyzer (Illumina, San Diego, CA, USA) using the HiSeq Sequencing Kit (Illumina) according to the manufacturer's analysis of the WES data was conducted as described elsewhere.…”
Section: Study Subjectsmentioning
confidence: 99%
“…The constructed exome libraries were enriched and sequenced on the Illumina HiSeq 2000 Genome Analyzer (Illumina, San Diego, CA, USA) using the HiSeq Sequencing Kit (Illumina) according to the manufacturer's analysis of the WES data was conducted as described elsewhere. 50,51) The minor allele frequency for each genetic variant was calculated according to such population genetic databases as the NHLBI Exome Sequencing Project database (https://ev s.gs.washington.edu/EVS/), the Single Nucleotide Polymorphism database (https://www.ncbi.nlm.nih.gov/snp/), and the Genome Aggregation Database (https://gnomad.br oadinstitute.org/). The disease-causing potential of a novel genetic variation was predicted using PolyPhen-2 (http://g enetics.bwh.harvard.edu/pph2), MutationTaster (http://ww w.mutationtaster.org), SIFT (http://sift.jcvi.org/www/SIFT_ enst_submit.html), and PROVEAN (http://provean.jcvi.org/ index.php).…”
Section: Study Subjectsmentioning
confidence: 99%
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