The American Journal of Human GeneticsGeneticsPeer-reviewed journal article
Autosomal dominant multiple pterygium syndrome is caused by mutations in MYH3
Jessica X ChongiD, Lindsay C Burrage, Anita E Beck, Colby T Marvin, Margaret J McMillin, Kathryn M Shively, Kati J Buckingham, Carlos A Bacino, Mahim JainiD, Yasemin Alanay, Susan A Berry, John C Carey, Richard A Gibbs, Brendan H Lee, Deborah KrakowiD, Jay Shendure, Deborah A Nickerson, University Washington Center Mendelian Genomics, Michael J Bamshad
Abstract
Multiple pterygium syndromes (MPS) are a phenotypically and genetically heterogeneous group of rare Mendelian conditions characterized by multiple pterygia, scoliosis and congenital contractures of the limbs. MPS typically segregates as an autosomal recessive disorder but rare instances of autosomal dominant transmission have been reported. While several mutations causing recessive MPS have been identified, the genetic basis of dominant MPS remains unknown. We identified four families with dominantly transmitted MPS characterized by pterygia, camptodactyly of the hands, vertebral fusions, and scoliosis. Exome sequencing identified predicted protein-altering mutations in embryonic myosin heavy chain (MYH3) in three families. MYH3 mutations underlie distal arthrogryposis types 1, 2A and 2B, but all mutations reported to date occur in the head and neck domains. In contrast, two of the mutations found to cause MPS occurred in the tail domain. The phenotypic overlap among persons with MPS coupled with physical findings distinct from other conditions caused by mutations in MYH3, suggests that the developmental mechanism underlying MPS differs from other conditions and / or that certain functions of embryonic myosin may be perturbed by disruption of specific residues / domains. Moreover, the vertebral fusions in persons with MPS coupled with evidence of MYH3 expression in bone suggests that embryonic myosin plays a previously unknown role in skeletal development.
- organism: human
- assay: whole-exome sequencing
- research focus: variant calling
- approach: statistical model
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