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Kozek K, Wada Y, Sala L, Denjoy I, Egly C, O'Neill MJ, Aiba T, Shimizu W, Makita N, Ishikawa T, Crotti L, Spazzolini C, Kotta MC, Dagradi F, Castelletti S, Pedrazzini M, Gnecchi M, Leenhardt A, Salem JE, Ohno S, Zuo Y**, Glazer AM, Mosley JD, Roden DM, Knollmann BC, Blume JD*, Extramiana F, Schwartz PJ, Horie M, Kroncke BM. Estimating the Posttest Probability of Long QT Syndrome Diagnosis for Rare Variants. Circulation. Genomic and precision medicine. 2021 Aug;14(14). e003289. NIHMSID: NIHMS1724675.
Abstract
The proliferation of genetic profiling has revealed many associations between genetic variations and disease. However, large-scale phenotyping efforts in largely healthy populations, coupled with DNA sequencing, suggest variants currently annotated as pathogenic are more common in healthy populations than previously thought. In addition, novel and rare variants are frequently observed in genes associated with disease both in healthy individuals and those under suspicion of disease. This raises the question of whether these variants can be useful predictors of disease. To answer this question, we assessed the degree to which the presence of a variant in the cardiac potassium channel gene was diagnostically predictive for the autosomal dominant long QT syndrome.