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@article{Horvat:2019:10.1038/s41436-018-0036-2,
author = {Horvat, C and Johnson, R and Lam, L and Munro, J and Mazzarotto, F and Roberts, A and Herman, D and Parfenov, M and Haghighli, A and Macdonough, B and DePalma, S and Keogh, A and Macdonald, P and Hayward, C and Roberts, A and Barton, PJR and Felkin, L and Giannoulatou, E and Cook, S and Seidman, J and Siedman, C and Fatkin, D},
doi = {10.1038/s41436-018-0036-2},
journal = {Genetics in Medicine},
pages = {133--143},
title = {A gene-centric strategy for identifying disease-causing rare variants in dilated cardiomyopathy},
url = {http://dx.doi.org/10.1038/s41436-018-0036-2},
volume = {21},
year = {2019}
}

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TY  - JOUR
AB  - PurposeWe evaluated strategies for identifying disease-causing variants in genetic testing for dilated cardiomyopathy (DCM).MethodsCardiomyopathy gene panel testing was performed in 532 DCM patients and 527 healthy control subjects. Rare variants in 41 genes were stratified using variant-level and gene-level characteristics.ResultsA majority of DCM cases and controls carried rare protein-altering cardiomyopathy gene variants. Variant-level characteristics alone had limited discriminative value. Differentiation between groups was substantially improved by addition of gene-level information that incorporated ranking of genes based on literature evidence for disease association. The odds of DCM were increased to nearly 9-fold for truncating variants or high-impact missense variants in the subset of 14 genes that had the strongest biological links to DCM (P <0.0001). For some of these genes, DCM-associated variants appeared to be clustered in key protein functional domains. Multiple rare variants were present in many family probands, however, there was generally only one “driver” pathogenic variant that cosegregated with disease.ConclusionRare variants in cardiomyopathy genes can be effectively stratified by combining variant-level and gene-level information. Prioritization of genes based on their a priori likelihood of disease causation is a key factor in identifying clinically actionable variants in cardiac genetic testing.
AU  - Horvat,C
AU  - Johnson,R
AU  - Lam,L
AU  - Munro,J
AU  - Mazzarotto,F
AU  - Roberts,A
AU  - Herman,D
AU  - Parfenov,M
AU  - Haghighli,A
AU  - Macdonough,B
AU  - DePalma,S
AU  - Keogh,A
AU  - Macdonald,P
AU  - Hayward,C
AU  - Roberts,A
AU  - Barton,PJR
AU  - Felkin,L
AU  - Giannoulatou,E
AU  - Cook,S
AU  - Seidman,J
AU  - Siedman,C
AU  - Fatkin,D
DO  - 10.1038/s41436-018-0036-2
EP  - 143
PY  - 2019///
SN  - 1098-3600
SP  - 133
TI  - A gene-centric strategy for identifying disease-causing rare variants in dilated cardiomyopathy
T2  - Genetics in Medicine
UR  - http://dx.doi.org/10.1038/s41436-018-0036-2
UR  - http://hdl.handle.net/10044/1/58471
VL  - 21
ER  -

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