Medical Genetics Commons^™

Should Health Systems Share Genetic Findings With At-Risk Relatives When The Proband Is Deceased? Interviews With Individuals Diagnosed With Lynch Syndrome, Jessica Ezzell Hunter, Jennifer L. Schneider, Alison J. Firemark, James V. Davis, Sara Gille, Pamala A. Pawloski, Su-Ying Liang, Victoria Schlieder, Alanna Kulchak Rahm

Journal of Patient-Centered Research and Reviews

Purpose: Genetic information has health implications for patients and their biological relatives. Death of a patient before sharing a genetic diagnosis with at-risk relatives is a missed opportunity to provide important information that could guide interventions to minimize cancer-related morbidity and mortality in relatives.

Methods: We performed semi-structured interviews with individuals diagnosed with Lynch syndrome at 1 of 4 health systems to explore their perspectives on whether health systems should share genetic risk information with relatives following a patient’s death. An inductive, open-coding approach was used to analyze audio-recorded content, with software-generated code reports undergoing iterative comparative analysis by a …

Integrating Patient-Reported Outcomes Into Clinical Genetic Testing For Familial Hypercholesterolemia, Rachele M. Hendricks-Sturrup, Robert Block, Christine Y. Lu

Journal of Patient-Centered Research and Reviews

Patient-reported outcomes (PROs) and PRO measures (PROMs) are often used to help clinicians and researchers understand patients’ personal concerns, feelings, experiences, and perspectives following the implementation of an intervention. Notably, PROs and PROMs can inform health systems, health policy, and payers on the utility of clinical genetic testing based on each patient’s personal values, perspectives, and potential health behaviors subsequent to testing. In this topic synopsis, we discuss the underexplored role of and implications for PROs and PROMs following genetic testing for familial hypercholesterolemia (FH), an autosomal dominant genetic disorder of cholesterol metabolism that can lead to highly premature fatal …

Predicting Premature Birth Risk With Cfrna, Jason Lin, Jonathan Marin, John Santerre

SMU Data Science Review

Identifying which genes are early indicators for preterm births using cell-free ribonucleic acid (cfRNA) from non-invasive blood tests provided by pregnant women can improve prenatal care. Currently, there are no medical tests for early detection of preterm birth risk in routine checkups for pregnant women. Recent studies have shown potential genes that can predict preterm birth. Machine learning techniques are utilized to see if the Area Under the Curve (AUC) can be improved upon when evaluating the prediction accuracy for chosen genes sequences and concentrations. Using cell-free RNA data from non-invasive blood tests in conjunction with machine learning, we improve …