Publications by authors named "Leif Verace"

Multiple data views measured on the same set of participants are becoming more common and have the potential to deepen our understanding of many complex diseases by analyzing these different views simultaneously. Equally important, many of these complex diseases show evidence of subgroup heterogeneity (e.g.

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Article Synopsis
  • Studies show that different subgroups (based on sex, race, etc.) experience varying disease courses and outcomes, and current analysis methods fail to consider this diversity.* -
  • The authors propose a new statistical approach called Heterogeneity in Integration and Prediction (HIP) that combines multiple data types while factoring in subgroup differences to identify shared and unique molecular signatures.* -
  • HIP has been applied to investigate COPD, revealing important proteins and genes linked to sex differences in the disease, and offers tools for broader research applications in health disparities.*
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An EMS mutagenesis screen was conducted in to identify growth control mutants. The multi-institution Fly-CURE consortium phenotypically characterized the mutant using the system which displayed a mutant lethal phenotype with reduced head development, and darkened ocular tissue. Complementation mapping was conducted to identify the affected gene.

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