Whole-Genome Sequencing to Characterize Monogenic and Polygenic Contributions in Patients Hospitalized With Early-Onset Myocardial Infarction
Author(s) -
Amit V. Khera,
Mark Chaffin,
Seyedeh M. Zekavat,
Ryan L. Collins,
Carolina Roselli,
Pradeep Natarajan,
Judith H. Lichtman,
Gail D’Onofrio,
Jennifer A. Mattera,
Rachel P. Dreyer,
John A. Spertus,
Kent D. Taylor,
Bruce M. Psaty,
Stephen S. Rich,
Wendy S. Post,
Namrata Gupta,
Stacey Gabriel,
Eric S. Lander,
YiiDer Ida Chen,
Michael E. Talkowski,
Jerome I. Rotter,
Harlan M. Krumholz,
Sekar Kathiresan
Publication year - 2019
Publication title -
circulation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 7.795
H-Index - 607
eISSN - 1524-4539
pISSN - 0009-7322
DOI - 10.1161/circulationaha.118.035658
Subject(s) - medicine , myocardial infarction , whole genome sequencing , genome , genome wide association study , genetics , cardiology , gene , single nucleotide polymorphism , genotype , biology
The relative prevalence and clinical importance of monogenic mutations related to familial hypercholesterolemia and of high polygenic score (cumulative impact of many common variants) pathways for early-onset myocardial infarction remain uncertain. Whole-genome sequencing enables simultaneous ascertainment of both monogenic mutations and polygenic score for each individual.
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