Journal article
Nature Cardiovascular Research, 2023
APA
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Lipov, A., Jurgens, S., Mazzarotto, F., Allouba, M., Pirruccello, J., Aguib, Y., … Walsh, R. (2023). Exploring the complex spectrum of dominance and recessiveness in genetic cardiomyopathies. Nature Cardiovascular Research.
Chicago/Turabian
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Lipov, Alex, S. Jurgens, F. Mazzarotto, M. Allouba, J. Pirruccello, Yasmine Aguib, Massimo Gennarelli, et al. “Exploring the Complex Spectrum of Dominance and Recessiveness in Genetic Cardiomyopathies.” Nature Cardiovascular Research (2023).
MLA
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Lipov, Alex, et al. “Exploring the Complex Spectrum of Dominance and Recessiveness in Genetic Cardiomyopathies.” Nature Cardiovascular Research, 2023.
BibTeX Click to copy
@article{alex2023a,
title = {Exploring the complex spectrum of dominance and recessiveness in genetic cardiomyopathies},
year = {2023},
journal = {Nature Cardiovascular Research},
author = {Lipov, Alex and Jurgens, S. and Mazzarotto, F. and Allouba, M. and Pirruccello, J. and Aguib, Yasmine and Gennarelli, Massimo and Yacoub, Magdi H. and Ellinor, P. and Bezzina, C. and Walsh, R.}
}
Discrete categorization of Mendelian disease genes into dominant and recessive models often oversimplifies their underlying genetic architecture. Cardiomyopathies (CMs) are genetic diseases with complex etiologies for which an increasing number of recessive associations have recently been proposed. Here, we comprehensively analyze all published evidence pertaining to biallelic variation associated with CM phenotypes to identify high-confidence recessive genes and explore the spectrum of monoallelic and biallelic variant effects in established recessive and dominant disease genes. We classify 18 genes with robust recessive association with CMs, largely characterized by dilated phenotypes, early disease onset and severe outcomes. Several of these genes have monoallelic association with disease outcomes and cardiac traits in the UK Biobank, including LMOD2 and ALPK3 with dilated and hypertrophic CM, respectively. Our data provide insights into the complex spectrum of dominance and recessiveness in genetic heart disease and demonstrate how such approaches enable the discovery of unexplored genetic associations. Lipov et al. performed a meta-analysis of biallelic genotypes in cardiomyopathy patients and the UK Biobank. Using rare variant association analysis, they identified 18 genes with robust evidence for recessive inheritance and revealed a complex spectrum of dominance and recessiveness.