Kathryn Nicole Weaver, MD

  • Affiliation: IU School of Medicine & Cincinnati Children’s Hospital

  • Data Distributed: WES

  • Impact & Implication: Congenital heart disease is the most common class of birth defects, occurring in 1 in 100 live births. Valvar pulmonary stenosis (vPS) accounts for 8-12% of congenital heart disease and most often the underlying cause is unknown. Our study will investigate genetic contributors to development of vPS. This will lay the groundwork for identifying genetic determinants of health outcomes in children with vPS.

Stephanie Ware MD, PhD; Lisa Martin, PhD; Surbhi Bhatnagar, MD

  • Affiliation: IU School of Medicine & Cincinnati Children’s Hospital

  • Data Distributed: WES

Danielle Janosevic, DO

  • Affiliation: IU School of Medicine

  • Data Distributed: RNA seq

  • Impact & Implication: There is a critical need to predict and prevent detrimental outcomes related to systemic infections., also known as sepsis. We seek to incorporate broad-based bench to bedside data to define the timeline in sepsis which will be used to predict and prevent organ failure.

Ankit Desai, MD

  • Affiliation: IU School of Medicine

  • Data Distributed: Chemokine/cytokine multiplex analyses

Paul Bohn, PhD & Christiana Oh

  • Affiliation: University of Notre Dame

  • Data Distributed: Chemokine/cytokine multiplex analyses

Melissa Kacena, PhD

  • Affiliation: IU School of Medicine

  • Data Distributed: Chemokine/cytokine multiplex analyses

Yunlong Liu, PhD

  • Affiliation: IU School of Medicine

  • Data Distributed: WES

Sarah Elsea, PhD

  • Affiliation: Baylor College of Medicine

  • Data Distributed: Chemokine/cytokine multiplex analyses

Nianjun Liu, PhD

  • Affiliation: Indiana University

  • Data Distributed: WES

Andy Yu MD, PhD

  • Affiliation: IU School of Medicine

  • Data Distributed: Chemokine/cytokine multiplex analyses

Naga Chalasani, MD & Craig Lammert, MD

  • Affiliation: IU School of Medicine

  • Data Distributed: WES & GWAS

Kavish Patidar, MD; Raj Vuppalanchi, MD; Craig Lammert, MD

  • Affiliation: IU School of Medicine

  • Data Distributed: WES & GWAS

Dongbing Lai, PhD

  • Affiliation: IU School of Medicine

  • Data Distributed: WES

  • Impact & Implication: Genes identified in this study can be used to help us elucidate the genetic etiology of Substance use disorders (SUD) and related diseases. In addition, these disease causing genes could potentially be the novel therapeutic targets. Derived polygenic genetic risk scores (PRS) can be used to identify high risk individuals for SUD and related diseases hence personalized prevention and treatment methods can be developed and applied.