Circulation Genomic and Precision MedicineGenetic & Genomic MedicinePeer-reviewed journal article
Clinical Validity of Autosomal Dominant ALPK3 Loss-of-function Variants as a Cause of Hypertrophic Cardiomyopathy
Sophie HespeiD, Emma S. SingeriD, Chloe M. ReuteriD, Brittney A. MurrayiD, Elizabeth JordaniD, Jessica L. Chowns, Stacey A. PetersiD, Megan MayersiD, Belinda R. GrayiD, Ray E. HershbergeriD, ANJALI TIKU OWENSiD, Christopher SemsarianiD, Amber WaddelliD, Babken AsatryaniD, Emma Owens, Courtney ThaxtoniD, Mhy-Lanie Adduru, Kailyn AndersoniD, Emily E. BrowniD, Lily Hoffman‐AndrewsiD, Fergus StaffordiD, Richard D. BagnalliD, Lucas Bronicki, Bert Louis CallewaertiD, C. Anwar A. ChahaliD, , Jodie InglesiD
Abstract
ALPK3 encodes the protein -kinase 3, an essential cardiac-enriched atypical a-kinase that inserts in the nuclear envelope and the sarcomere M-band of cardiac myocytes, functioning to aid in myosin-mediated force buffering and sarcomere proteostasis. Previously, bi-allelic loss-of-function ALPK3 variants have been reported causative in a severe paediatric phenotype including hypertrophic (HCM) and dilated cardiomyopathy (DCM). Very few heterozygous carries in these cases express any cardiac phenotype. However, recently studies have reported heterozygous loss-of-function ALPK3 variants causative of HCM. In this research letter we present a patient series of 29 cardiac patients (26 probands) with heterozygous putative loss-of-function ALPK3 variants without another causative variant in other definitive HCM genes. As well as, a ClinGen gene curation assessing the clinical validity of the gene-disease association of ALPK3 for autosomal dominant HCM, which was evaluated to be strong. With reduced penetrance compared to other HCM genes and issues with historic genetic reports using a superseded transcript care needs to be taken when interpreting these variants to account for these nuances.
- organism: human
- research focus: gene regulatory network inference
- research focus: variant effect prediction
- research focus: GWAS / association mapping
- approach: statistical model
- Citations
- 3
- FWCI
- 2.11
- Field percentile
- top 13%
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