2023
DOI: 10.1016/j.ajhg.2023.08.003
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The penetrance of rare variants in cardiomyopathy-associated genes: A cross-sectional approach to estimating penetrance for secondary findings

Kathryn A. McGurk,
Xiaolei Zhang,
Pantazis Theotokis
et al.
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Cited by 13 publications
(2 citation statements)
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“…Whole-genome sequencing in population-scale biobanks such as Iceland (deCODE), FINNGEN, UK BioBank, and the Danish National Cohort Study (DANCOS) has led to the development of a number of techniques to identify cause–effect relationships between genetic signatures and phenotypes including genome-wide association studies (GWAS), phenome-wide association studies (PheWAS), and forward/reverse Mendelian randomization . For example, these methods have allowed for the characterization of rare genetic variants associated with health phenotypes such as the eye and cardiovascular diseases . In clinical cohorts, genomic data sets have been used to characterize mutational signatures underlying complex NCDs such as cancer .…”
Section: Opportunities To Integrate Exposome Research and Population ...mentioning
confidence: 99%
See 1 more Smart Citation
“…Whole-genome sequencing in population-scale biobanks such as Iceland (deCODE), FINNGEN, UK BioBank, and the Danish National Cohort Study (DANCOS) has led to the development of a number of techniques to identify cause–effect relationships between genetic signatures and phenotypes including genome-wide association studies (GWAS), phenome-wide association studies (PheWAS), and forward/reverse Mendelian randomization . For example, these methods have allowed for the characterization of rare genetic variants associated with health phenotypes such as the eye and cardiovascular diseases . In clinical cohorts, genomic data sets have been used to characterize mutational signatures underlying complex NCDs such as cancer .…”
Section: Opportunities To Integrate Exposome Research and Population ...mentioning
confidence: 99%
“… 66 For example, these methods have allowed for the characterization of rare genetic variants associated with health phenotypes such as the eye 67 and cardiovascular diseases. 68 In clinical cohorts, genomic data sets have been used to characterize mutational signatures underlying complex NCDs such as cancer. 69 Using GWAS, polygenic risk scores (PGSs) 70 , 71 are being adopted to predict relative likelihoods that an individual will acquire a disease based on genetic background alone.…”
Section: Opportunities To Integrate Exposome Research and Population ...mentioning
confidence: 99%