Multidimensional structure-function relationships in human β-cardiac myosin from population-scale genetic variation

Julian R Homburger1, Eric M Green2, Colleen Caleshu3

  • 1Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305;

Insights

Genetic variations in human beta-cardiac myosin heavy chain (MYH7) cause hypertrophic cardiomyopathy (HCM). This study identifies specific myosin regions linked to earlier disease onset in HCM patients, advancing our understanding of this heart condition.

Area of Science:

  • Biochemistry
  • Genetics
  • Cardiology

Background:

  • Myosin motors are crucial for muscle contraction.
  • MYH7 gene variations are linked to hypertrophic cardiomyopathy (HCM), a serious heart condition.
  • The precise impact of specific myosin variants on motor function and disease remains unclear.

Purpose of the Study:

  • To identify regions of disease enrichment within beta-cardiac myosin.
  • To understand how specific myosin variants contribute to hypertrophic cardiomyopathy.
  • To correlate variant location with disease onset and severity.

Main Methods:

  • Developed computational models of human beta-cardiac myosin across its chemomechanical cycle.
  • Analyzed exome sequencing data from large population cohorts.
  • Applied a spatial scan statistic to genetic variation in protein 3D space.
  • Integrated genetic and phenotypic data from HCM patients.

Main Results:

  • Significant enrichment of disease-associated variants found in the converter domain of beta-cardiac myosin.
  • A larger enriched region, including the converter domain and myosin mesa, identified for surface-exposed residues.
  • HCM patients with variants in these enriched regions exhibited earlier disease onset.

Conclusions:

  • Specific regions within beta-cardiac myosin are significantly associated with hypertrophic cardiomyopathy.
  • The location of MYH7 variants influences the clinical presentation, particularly age of onset.
  • This study offers a framework for integrating structural biology, genomics, and clinical data to study genetic heart diseases.

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