Browsing by Author "Wheeler, Matthew T."

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    Genetic Architecture of Dilated Cardiomyopathy in Individuals of African and European Ancestry
    (American Medical Association, 2023) Jordan, Elizabeth; Kinnamon, Daniel D.; Haas, Garrie J.; Hofmeyer, Mark; Kransdorf, Evan; Ewald, Gregory A.; Morris, Alanna A.; Owens, Anjali; Lowes, Brian; Stoller, Douglas; Tang, W. H. Wilson; Garg, Sonia; Trachtenberg, Barry H.; Shah, Palak; Pamboukian, Salpy V.; Sweitzer, Nancy K.; Wheeler, Matthew T.; Wilcox, Jane E.; Katz, Stuart; Pan, Stephen; Jimenez, Javier; Fishbein, Daniel P.; Smart, Frank; Wang, Jessica; Gottlieb, Stephen S.; Judge, Daniel P.; Moore, Charles K.; Mead, Jonathan O.; Hurst, Natalie; Cao, Jinwen; Huggins, Gordon S.; Cowan, Jason; Ni, Hanyu; Rehm, Heidi L.; Jarvik, Gail P.; Vatta, Matteo; Burke, Wylie; Hershberger, Ray E.; DCM Precision Medicine Study of the DCM Consortium; Medical and Molecular Genetics, School of Medicine
    Importance: Black patients with dilated cardiomyopathy (DCM) have increased familial risk and worse outcomes than White patients, but most DCM genetic data are from White patients. Objective: To compare the rare variant genetic architecture of DCM by genomic ancestry within a diverse population of patients with DCM. Design: Cross-sectional study enrolling patients with DCM who self-identified as non-Hispanic Black, Hispanic, or non-Hispanic White from June 7, 2016, to March 15, 2020, at 25 US advanced heart failure programs. Variants in 36 DCM genes were adjudicated as pathogenic, likely pathogenic, or of uncertain significance. Exposure: Presence of DCM. Main outcomes and measures: Variants in DCM genes classified as pathogenic/likely pathogenic/uncertain significance and clinically actionable (pathogenic/likely pathogenic). Results: A total of 505, 667, and 26 patients with DCM of predominantly African, European, or Native American genomic ancestry, respectively, were included. Compared with patients of European ancestry, a lower percentage of patients of African ancestry had clinically actionable variants (8.2% [95% CI, 5.2%-11.1%] vs 25.5% [95% CI, 21.3%-29.6%]), reflecting the lower odds of a clinically actionable variant for those with any pathogenic variant/likely pathogenic variant/variant of uncertain significance (odds ratio, 0.25 [95% CI, 0.17-0.37]). On average, patients of African ancestry had fewer clinically actionable variants in TTN (difference, -0.09 [95% CI, -0.14 to -0.05]) and other genes with predicted loss of function as a disease-causing mechanism (difference, -0.06 [95% CI, -0.11 to -0.02]). However, the number of pathogenic variants/likely pathogenic variants/variants of uncertain significance was more comparable between ancestry groups (difference, -0.07 [95% CI, -0.22 to 0.09]) due to a larger number of non-TTN non-predicted loss of function variants of uncertain significance, mostly missense, in patients of African ancestry (difference, 0.15 [95% CI, 0.00-0.30]). Published clinical case-based evidence supporting pathogenicity was less available for variants found only in patients of African ancestry (P < .001). Conclusion and relevance: Patients of African ancestry with DCM were less likely to have clinically actionable variants in DCM genes than those of European ancestry due to differences in genetic architecture and a lack of representation of African ancestry in clinical data sets.
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    Pathologic gene network rewiring implicates PPP1R3A as a central regulator in pressure overload heart failure
    (Springer Nature, 2019-06-24) Cordero, Pablo; Parikh, Victoria N.; Chin, Elizabeth T.; Erbilgin, Ayca; Gloudemans, Michael J.; Shang, Ching; Huang, Yong; Chang, Alex C.; Smith, Kevin S.; Dewey, Frederick; Zaleta, Kathia; Morley, Michael; Brandimarto, Jeff; Glazer, Nicole; Waggott, Daryl; Pavlovic, Aleksandra; Zhao, Mingming; Moravec, Christine S.; Tang, W. H. Wilson; Skreen, Jamie; Malloy, Christine; Hannenhalli, Sridhar; Li, Hongzhe; Ritter, Scott; Li, Mingyao; Bernstein, Daniel; Connolly, Andrew; Hakonarson, Hakon; Lusis, Aldons J.; Margulies, Kenneth B.; Depaoli-Roach, Anna A.; Montgomery, Stephen B.; Wheeler, Matthew T.; Cappola, Thomas; Ashley, Euan A.; Biochemistry and Molecular Biology, School of Medicine
    Heart failure is a leading cause of mortality, yet our understanding of the genetic interactions underlying this disease remains incomplete. Here, we harvest 1352 healthy and failing human hearts directly from transplant center operating rooms, and obtain genome-wide genotyping and gene expression measurements for a subset of 313. We build failing and non-failing cardiac regulatory gene networks, revealing important regulators and cardiac expression quantitative trait loci (eQTLs). PPP1R3A emerges as a regulator whose network connectivity changes significantly between health and disease. RNA sequencing after PPP1R3A knockdown validates network-based predictions, and highlights metabolic pathway regulation associated with increased cardiomyocyte size and perturbed respiratory metabolism. Mice lacking PPP1R3A are protected against pressure-overload heart failure. We present a global gene interaction map of the human heart failure transition, identify previously unreported cardiac eQTLs, and demonstrate the discovery potential of disease-specific networks through the description of PPP1R3A as a central regulator in heart failure.