Ontology highlight
ABSTRACT:
SUBMITTER: Benn DE
PROVIDER: S-EPMC6252366 | biostudies-literature | 2018 Nov
REPOSITORIES: biostudies-literature
Benn Diana E DE Zhu Ying Y Andrews Katrina A KA Wilding Mathilda M Duncan Emma L EL Dwight Trisha T Tothill Richard W RW Burgess John J Crook Ashley A Gill Anthony J AJ Hicks Rodney J RJ Kim Edward E Luxford Catherine C Marfan Helen H Richardson Anne Louise AL Robinson Bruce B Schlosberg Arran A Susman Rachel R Tacon Lyndal L Trainer Alison A Tucker Katherine K Maher Eamonn R ER Field Michael M Clifton-Bligh Roderick J RJ
Journal of medical genetics 20180910 11
<h4>Background</h4>Until recently, determining penetrance required large observational cohort studies. Data from the Exome Aggregate Consortium (ExAC) allows a Bayesian approach to calculate penetrance, in that population frequencies of pathogenic germline variants should be inversely proportional to their penetrance for disease. We tested this hypothesis using data from two cohorts for succinate dehydrogenase subunits A, B and C (<i>SDHA-C</i>) genetic variants associated with hereditary pheoch ...[more]