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Explanations Of Risk In Families Without Identified Mutations For Hereditary Nonpolyposis Colorectal Cancer, Anne Ersig, Lioness Ayres, D. Hadley, L. Koehly
Explanations Of Risk In Families Without Identified Mutations For Hereditary Nonpolyposis Colorectal Cancer, Anne Ersig, Lioness Ayres, D. Hadley, L. Koehly
Anne L. Ersig
Purpose: Genetic testing for hereditary forms of cancer does not always identify a causative mutation. Little is known about personal or family response to these indeterminate results when a hereditary form of cancer is suspected. This study explored thoughts about and responses to risk for hereditary nonpolyposis colorectal cancer (HNPCC) when a family member has received indeterminate genetic test results. Design: In this qualitative study, data were gathered from index cases who received indeterminate genetic test results through a longitudinal study offering genetic counseling and testing for HNPCC. First-degree relatives of these indeterminate index cases were also invited to participate …
Characteristics Of Health Information Gatherers, Disseminators, And Blockers Within Families At Risk Of Hereditary Cancer: Implications For Family Health Communication Interventions, L. Koehly, J. Peters, R. Kenen, L. Hoskins, Anne Ersig, N. Kuhn, J. Loud, M. Greene
Characteristics Of Health Information Gatherers, Disseminators, And Blockers Within Families At Risk Of Hereditary Cancer: Implications For Family Health Communication Interventions, L. Koehly, J. Peters, R. Kenen, L. Hoskins, Anne Ersig, N. Kuhn, J. Loud, M. Greene
Anne L. Ersig
OBJECTIVES: Given the importance of the dissemination of accurate family history to assess disease risk, we characterized the gatherers, disseminators, and blockers of health information within families at high genetic risk of cancer. METHODS: A total of 5466 personal network members of 183 female participants of the Breast Imaging Study from 124 families with known mutations in the BRCA1/2 genes (associated with high risk of breast, ovarian, and other types of cancer) were identified by using the Colored Eco-Genetic Relationship Map (CEGRM). Hierarchical nonlinear models were fitted to characterize information gatherers, disseminators, and blockers. RESULTS: Gatherers of information were more …