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Development of a Founder Mutation A high frequency of a specific gene mutation in a population founded by a small ancestral group Original population Marked population decrease, migration, or isolation Generations later BRCA Founder Mutations • Ashkenazi Jewish (Hungarian and Russian): BRCA1 - 185delAG and 5382insC BRCA2 - 6174delT • Icelandic: BRCA1 G5193A BRCA2 999del5 • Finnish: BRCA1 IVS1-2A=>G • Dutch: BRCA1 large deletions • Norwegian: BRCA1 1675delA and 1135insA • Scottish/Irish: BRCA1 2800delAA Within these populations carriers share a common haplotype supporting a single ancient mutation rather than mutational hot spots BRCA1 and BRCA2 •Estimated carriers of a deleterious mutation 1 per 1,000 •Breast cancer risk 35% – 80% by age 80 depending upon study population •Ovarian cancer risk 20% - 40% by age 80 •Founder mutations have been identified in: Icelanders Ashkenazi Fins African BRCA1 and BRCA2 Mutations in the Ashkenazi Jewish Population An estimated 1 in 40 Ashkenazi Jews carries a BRCA1 or BRCA2 mutation BRCA1 185delAG Prevalence = ~1% 5382insC Prevalence = ~0.15% BRCA2 Roa BB et al. Nat Genet 14:185, 1996 Oddoux C et al. Nat Genet 14:188, 1996 Struewing JP. N Engl J Med 336:1401, 1997 6174delT Prevalence = ~1.5% Benefits, Risks, and Limitations of BRCA Testing Risks and Limitations Benefits • • Identifies highhigh-risk individuals • Does not detect all mutations Identifies nonnoncarriers in families with a known mutation • Continued risk of sporadic cancer • Allows early detection and prevention strategies • May relieve anxiety • Efficacy of interventions unproven • May result in psychosocial or economic harm Familial Clustering of Cancer Family history among blood relatives may reflect: • Presence of a single inherited genetic risk [APC] • Multiple genetic factors [BRCA + ATM] • Inheritance of genetic markers of metabolism • Shared environmental factors with/without inheritance of susceptibility [tobacco smoke] • Culturally transmitted risk factors [reproductive decisions, hormone use] Genetic Epidemiology •Multiple cases in some families may be due to: inherited susceptibility, environmental exposures, lifestyle, reproductive patterns, health behaviors, etc •Understanding these causal patterns will assist in defining avenues for prevention and optimum treatment. •Data and biospecimens from family members are essential for genetic and environmental studies •A confidential centralized data repository with DNA samples is required for groundbreaking research Factors Affecting Genetic Testing Decisions • • • • • • • • • Cost of counseling & testing Concerns about health & life insurance Confidentiality of test results Family dynamics Barriers to screening/testing (financial/psychological) Clinical decision-making: a burden for mutation carriers Unresolved grief Survivor guilt among non-carriers Patient/physician/counselor communication Disparities in Genetic Testing •African American women have been less likely to receive genetic counseling and testing than Caucasian women OR 0.3 [0.1 -0.9] •Myriad Genetics: among the first 10,000 individuals tested for BRCA mutations, <10% were from under-represented racial/ethnic subgroups •Access and knowledge increases use of genetic testing to wealthy, well-insured and medically well informed populations. •To correct disparities genetic services must be racially and culturally tailored to meet the needs of specific populations •Federally –funded low cost preventive health programs are needed to provide reliable estimates of inherited risks & genetic penetrance Hall MJ, Olopade OI. JCO 2006;24: Disparities in Genetic Testing Factors potentially contributing to low acceptance of genetic services by some racial/ethnic populations: •Limited communication among family members restricting awareness of diseases diagnosed among relatives •Inaccurate personal assessment of disease risk •Lack of knowledge of inherited risk in predicting future disease •Inadequate understanding of the value of genetic counseling & testing •Highly technical genetic services may not be available in local setting •Distrust of risk reduction interventions coupled with greater reliance on religion Hall MJ, Olopade OI. JCO 2006;24 Risk Models May Be Inadequate for Some Racial/Ethnic Groups •Predictive statistical models using family history have been developed primarily with data from white families & may not be applicable to diverse populations •Models are based upon accurate estimates of population- specific prevalence of high-risk genotypes – data not available for most minority populations due to limited genetic testing •Heterogeneity within African American and other minority populations may also complicate estimates Concerns Associated with Genetic Testing •Fears of genetic discrimination by employer or insurance company •High cost if self pay considered •Confidentiality of genetic results in medical records &/or among relatives •Limited laws protecting genetic information •Fear of recommended screening methods & their frequency •Distrust/distaste for preventive medications or surgery •Potential need for psychological assessment and support not covered by health insurance Breast-Ovarian Ashkenazi Family Mother & Daughter with 5382insC Br 80 Br 70 Ov 70 Br 32 Ov 59 Family 5-37 Br 34,39 Ov 58 41 Br 34 Stomach 50 65 36 5382insC 88 64 Br 36,43 Ov 59 5382insC 65 34 No Mutation Racial & Ethnic Differences May Impact Inherited Factors & Environmental Exposures Environment Exposures Affected Genetic Factors Manipulation of environmental exposures can modify risk of developing breast cancer Paired Sisters Discordant for Breast Cancer Resource for Gene-Environment Studies Ovarian 54 Br 50 55 84 56 35 83 Breast 66 Br 57 Br 34 32 NY Registry: 450 families with one or more discordant sister sets including 120 BRCA carrier families DNA Repair Capacity in Paired Sisters Discordant for Breast Cancer •% DNA repair capacity of lymphoblastoid cell lines derived from samples donated by 158 case and 154 control sisters from 137 NY Registry families •Conditional logistic regression controlled for potential confounding due to age at blood donation, body mass index, and smoking •Mean repair capacity was lower in sisters with breast cancer compared to unaffected siblings [difference=8.6,95% CI 4.3,13.8] 84 Br 50 Breast 72 56 Kennedy etal. JNCI 2005;97:127-32