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Updated: Apr 26, 2026

Investigating the Pathogenesis of MYH7 Mutation Gly823Glu in Familial Hypertrophic Cardiomyopathy using a Mouse Model
Published on: August 8, 2022
Whole exome sequencing for familial bicuspid aortic valve identifies putative variants
Lisa J Martin1, Valentina Pilipenko2, Kenneth M Kaufman2
1From the Department of Pediatrics, Cincinnati Children's Hospital Medical Center, OH (L.J.M., V.P., K.M.K., L.C.K., M.K., P.D., M.T.W.); Department of Pediatrics, University of Cincinnati School of Medicine, Cincinnati OH (L.J.M., K.M.K., M.K., M.T.W.); Department of Pediatrics, Nationwide Children's Hospital, The Ohio State University, Columbus (L.C.); Herma Heart Center, Children's Hospital of Wisconsin, Milwaukee (D.W.B.); and Department of Pediatrics, Medical College of Wisconsin, Milwaukee (D.W.B.). lisa.martin@cchmc.org DBenson@chw.org.
Background:
Bicuspid aortic valve (BAV) is the most common congenital cardiovascular malformation. Although highly heritable, few causal variants have been identified. The purpose of this study was to identify genetic variants underlying BAV by whole exome sequencing a multiplex BAV kindred.
Methods And Results:
Whole exome sequencing was performed on 17 individuals from a single family (BAV=3; other cardiovascular malformation, 3). Postvariant calling error control metrics were established after examining the relationship between Mendelian inheritance error rate and coverage, quality score, and call rate. To determine the most effective approach to identifying susceptibility variants from among 54 674 variants passing error control metrics, we evaluated 3 variant selection strategies frequently used in whole exome sequencing studies plus extended family linkage. No putative rare, high-effect variants were identified in all affected but no unaffected individuals. Eight high-effect variants were identified by ≥2 of the commonly used selection strategies; however, these were either common in the general population (>10%) or present in the majority of the unaffected family members. However, using extended family linkage, 3 synonymous variants were identified; all 3 variants were identified by at least one other strategy.
Conclusions:
These results suggest that traditional whole exome sequencing approaches, which assume causal variants alter coding sense, may be insufficient for BAV and other complex traits. Identification of disease-associated variants is facilitated by the use of segregation within families.
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