Translating clinical and population discoveries into improved prediction of risk for disease prevention and improvement of health

Friday, November 08, 2013 — Concurrent Symposia Session IV
12:00 p.m. – 2:00 p.m.	FAES Academic Center lower-level Classroom 3

Co-chairs

Sholom Wacholder, NCI
Tamara Harris, NIA

Program

Population studies have identified important risk factors for predicting risk and determining appropriate interventions in individuals and populations. Leveraging recognized sources of heterogeneity in risk of prevalent or future disease can allow improved performance in intervention programs that target those at highest risk. This symposium highlights ongoing challenges and progress on identifying factors that engender heterogeneity of risk, using the heterogeneity to develop or improve existing risk prediction models, and anticipating the benefit of intervention programs that base individual decisions about prevention or treatment on estimated risk of disease.

From differences in means between cases and controls to risk stratification: A business plan for biomarker development
Nicolas Wentzensen, NCI

Applying “Omics” to Population Studies of Cardiovascular Disease and its Risk Factors: Accelerating Biomarker Discovery through Technology
Daniel Levy, NHLBI

Using risk calculations to incorporate human papillomavirus (HPV) testing into cytology-based cervical cancer prevention programs
Hormuzd Katki, NCI

Methylation of the human papillomavirus (HPV) genome as a triage of women with a positive oncogenic HPV test but a negative cervical cytology test
Lisa Mirabello, NCI

Detection for non-additive effects of SNPs at extremes of disease-risks; FARE Award Winner
Minsun Song, NCI