Publications by authors named "I J Kullo"
Uterine leiomyomata, or fibroids, are common gynecological tumors causing pelvic and menstrual symptoms that can negatively affect quality of life and child-bearing desires. As fibroids grow, symptoms can intensify and lead to invasive treatments that are less likely to preserve fertility. Identifying individuals at highest risk for fibroids can aid in access to earlier diagnoses.
View Article and Find Full Text PDFBackground: Clinical risk calculators for coronary heart disease (CHD) do not include genetic, social, and lifestyle-psychological risk factors.
Objective: To improve CHD risk prediction by developing and evaluating a prediction model that incorporated a polygenic risk score (PRS) and a polysocial score (PSS), the latter including social determinants of health and lifestyle-psychological factors.
Design: Cohort study.
Objective: To execute a large-scale, decentralized, clinical-grade whole exome sequencing study, coined Tapestry, for clinical practice, research discovery, and genomic education.
Patients And Methods: Between July 1, 2020, and May 31, 2024, we invited 1,287,608 adult Mayo Clinic patients to participate in Tapestry. Of those contacted, 114,673 patients were consented and 98,222 (65.
Background: Social determinants of health (SDOH) influence the risk of common diseases such as coronary heart disease (CHD).
Objectives: This study sought to test the associations of self-reported race/ethnicity, SDOH, and a polygenic risk score (PRS), with CHD in a large and diverse U.S.
Article Synopsis
- Polygenic risk scores (PRSs) could enhance disease risk prediction, but their current effectiveness is compromised for non-European populations, creating potential health disparities.
- The PRIMED Consortium aims to improve PRS performance by aggregating diverse genetic data on a cloud platform and evaluating ethical implications related to its implementation.
- Focused on cardiometabolic diseases and cancer, PRIMED seeks to promote equity in polygenic risk assessment through collaboration across multiple research sites and organizations.