Human Genetics and Genomics AdvancesGenetic & Genomic MedicinePeer-reviewed journal article
Variants in ACTC1 underlie distal arthrogryposis accompanied by congenital heart defects
Jessica X. ChongiD, Matthew Carter ChildersiD, Colby T. MarviniD, Angela MarcelloiD, Hernan Dario GonorazkyiD, Lili‐Naz HazratiiD, James J. DowlingiD, Fatema Al AmraniiD, Yasemin AlanayiD, Yolanda Nieto, Miguel Ángel Marín GabrieliD, Arthur S. Aylsworth, Kati J. BuckinghamiD, Kathryn M. Shively, Olivia Sommers, Kailyn AndersoniD, Michael RegnieriD, Michael J. BamshadiD
Abstract
Contraction of the human sarcomere is the result of interactions between myosin cross-bridges and actin filaments. Pathogenic variants in genes such as MYH7, TPM1, and TNNI3 that encode parts of the cardiac sarcomere cause muscle diseases that affect the heart, such as dilated cardiomyopathy and hypertrophic cardiomyopathy. In contrast, pathogenic variants in homologous genes MYH2, TPM2, and TNNI2, that encode parts of the skeletal muscle sarcomere, cause muscle diseases affecting skeletal muscle, such as the distal arthrogryposis (DA) syndromes and skeletal myopathies. To date, there have been few reports of genes (e.g., MYH7) encoding sarcomeric proteins in which the same pathogenic variant affects both skeletal and cardiac muscle. Moreover, none of the known genes underlying DA have been found to contain mutations that also cause cardiac abnormalities. We report five families with DA due to heterozygous missense variants in the gene actin, alpha, cardiac muscle 1 (ACTC1). ACTC1 encodes a highly conserved actin that binds to myosin in both cardiac and skeletal muscle. Mutations in ACTC1 have previously been found to underlie atrial septal defect, dilated cardiomyopathy, hypertrophic cardiomyopathy, and left ventricular noncompaction. Our discovery delineates a new DA condition due to mutations in ACTC1 and suggests that some functions of actin, alpha, cardiac muscle 1 are shared in cardiac and skeletal muscle.
- organism: human
- research focus: differential expression
- research focus: gene regulatory network inference
- Citations
- 16
- FWCI
- 3.14
- Field percentile
- top 7%
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