Familial Risk and Interaction With Smoking and Alcohol Consumption in Bladder Cancer: A Population-Based Cohort Study.

Background: Although genetic factors are known to play a role in the pathogenesis of bladder cancer, population-level familial risk estimates are scarce. We aimed to quantify the familial risk of bladder cancer and analyze interactions between family history and smoking or alcohol consumption. Methods: Using the National Health Insurance database, we constructed a cohort of 5,524,403 study subjects with first-degree relatives (FDRs) and their lifestyle risk factors from 2002 to 2019. Familial risk was calculated using hazard ratios (HRs) with 95% confidence intervals (CIs) that compare the risk of individuals with and without affected FDRs. Interactions between family history and smoking or alcohol intake were assessed on an additive scale using the relative excess risk due to interaction (RERI). Results: Offspring with an affected parent had a 2.09-fold (95% CI: 1.41 - 3.08) increased risk of disease compared to those with unaffected parents. Familial risks of those with affected father and mother were 2.26 (95% CI: 1.51 - 3.39) and 1.10 (95% CI: 0.27 - 4.41), respectively. When adjusted for lifestyle factors, HR reduced slightly to 2.04 (95% CI: 1.38 - 3.01), suggesting that a genetic predisposition is the main driver in the familial aggregation. Smokers with a positive family history had a markedly increased risk of disease (HR: 3.60, 95% CI: 2.27 - 5.71), which exceeded the sum of their individual risks, with statistically significant interaction (RERI: 0.72, 95% CI: 0.31 - 1.13). For alcohol consumption, drinkers with a positive family history also had an increased risk of disease, although the interaction was not statistically significant (RERI: 0.05, 95% CI: -3.39 - 3.48). Conclusion: Smokers and alcohol consumers with a positive family history of bladder cancer should be considered a high-risk group and be advised to undergo genetic counseling.

Association between medical complications according to continuity of care and medication adherence in patients with hypertension in Korea: a national population-based cohort study.

OBJECTIVES: To analyse the differences in hypertensive complications according to continuity of care (COC) and medication adherence in patients with hypertension. DESIGN: A national population-based retrospective cohort study. SETTING: Secondary data analysis using National insurance claims data at all levels of hospitals in South Korea. PARTICIPANTS: A total of 102 519 patients diagnosed with hypertension were included in this study. PRIMARY OUTCOME MEASURES: The levels of COC and medication adherence were estimated within the initial 2 years of the follow-up period, and the incidence of medical complications was estimated within the subsequent 16 years. We used the level of COC to measure COC and the medication possession ratio (MPR) to measure medication adherence. RESULTS: The average level of COC in the hypertension group was 0.8112. The average proportion of the MPR in the hypertension group was 73.3%. COC in patients with hypertension showed varying results: the low COC group had a 1.14-fold increased risk of medical complications compared with the high COC group. In terms of the level of MPR in patients with hypertension, the 0%-19% MPR group had a 1.5-fold risk of medical complications relative to the 80%-100% MPR group. CONCLUSIONS: In patients with hypertension, high COC and medication adherence for the first 2 years of diagnosis can help prevent medical complications and promote patients' health. Therefore, effective strategies to improve COC and medication adherence are required. Future research should include some factors that may affect the incidence of hypertensive complications, such as familial aggregation, and hazard stratification by the level of blood pressure, which were not considered in this study. Therefore, there may be residual confounding and still room for improvement.

Familial Risk of Graves Disease Among First-Degree Relatives and Interaction With Smoking: A Population-Based Study.

CONTEXT: Population-based studies on the familial aggregation of Graves disease (GD) are scarce and gene-environment interactions are not well-studied. OBJECTIVE: We evaluated the familial aggregation of GD and assessed interactions between family history and smoking. METHODS: Using the National Health Insurance database, which includes information on familial relationships and lifestyle risk factors, we identified 5 524 403 individuals with first-degree relatives (FDRs). Familial risk was calculated using hazard ratios (HRs), comparing the risk of individuals with and without affected FDRs. Interactions between smoking and family history were assessed on an additive scale using relative excess risk due to interaction (RERI). RESULTS: The HR among individuals with affected FDRs was 3.39 (95% CI, 3.30-3.48) compared with those without affected FDR, and among individuals with affected twin, brother, sister, father, and mother, the HRs were 36.53 (23.85-53.54), 5.26 (4.89-5.66), 4.12 (3.88-4.38), 3.34 (3.16-3.54), and 2.63 (2.53-2.74), respectively. Individuals with both a positive family history and smoking had an increased risk of disease (HR 4.68) with statistically significant interaction (RERI 0.94; 95% CI, 0.74-1.19). Heavy smokers with a positive family history showed a nearly 6-fold increased risk, which was higher than moderate smoking, suggesting a dose-response interaction pattern. Current smoking also showed a statistically significant interaction with family history (RERI 0.52; 95% CI, 0.22-0.82), while this was not observed for former smoking. CONCLUSION: A gene-environment interaction can be suggested between smoking and GD-associated genetic factors, which diminishes after smoking cessation. Smokers with a positive family history should be considered a high-risk group and smoking cessation should be advised.

Familial Risk of Gout and Interaction With Obesity and Alcohol Consumption: A Population-Based Cohort Study in Korea.

OBJECTIVE: Population-based studies of the familial aggregation of gout are scarce, and gene/environment interactions are not well studied. This study was undertaken to evaluate the familial aggregation of gout as well as assess interactions between family history and obesity or alcohol consumption on the development of gout. METHODS: Using the Korean National Health Insurance database, which includes information regarding familial relationships and risk factor data, we identified 5,524,403 individuals from 2002 to 2018. Familial risk was calculated using hazard ratios (HRs) with 95% confidence intervals (95% CIs) to compare the risk in individuals with and those without affected first-degree relatives. Interactions between family history and obesity/alcohol consumption were assessed on an additive scale using the relative excess risk due to interaction (RERI). RESULTS: Individuals with a gout-affected first-degree relative had a 2.42-fold (95% CI 2.39, 2.46) increased risk of disease compared to those with unaffected first-degree relatives. Having both a family history of gout and being either overweight or having moderate alcohol consumption was associated with a markedly increased risk of disease, with HRs of 4.39 (95% CI 4.29, 4.49) and 2.28 (95% CI 2.22, 2.35), respectively, which exceeded the sum of their individual risks but was only statistically significant in overweight individuals (RERI 0.96 [95% CI 0.85, 1.06]). Obese individuals (RERI 1.88 [95% CI 1.61, 2.16]) and heavy drinkers (RERI 0.36 [95% CI 0.20, 0.52]) had a more prominent interaction compared to overweight individuals and moderate drinkers, suggesting a dose-response interaction pattern. CONCLUSION: Our findings indicate the possibility of an interaction between gout-associated genetic factors and obesity/alcohol consumption.

Familial risk of seropositive rheumatoid arthritis and interaction with smoking: a population-based cohort study.

OBJECTIVES: We evaluated the familial risk of seropositive rheumatoid arthritis (RA) and examined interactions between family history and smoking. METHODS: Using the National Health Insurance and Health Screening Program databases, which include information on familial relationships and lifestyle factors, we identified 5 524 403 individuals with first-degree relatives (FDRs) from 2002-2018. We calculated familial risk using hazard ratios (HRs) with 95% CIs which compare the risk of individuals with and without affected FDRs. Interactions between smoking and family history were assessed on an additive scale using the relative excess risk due to interaction (RERI). RESULTS: Individuals with affected FDR had 4.52-fold (95% CI 3.98, 5.12) increased risk of disease compared with those with unaffected FDR. Familial risk adjusted for lifestyle factors decreased slightly (HR 4.49), suggesting that a genetic contribution is the predominant driver in the familial aggregation of RA. Smoking was associated with an increased risk of disease that was more pronounced among heavy (HR 1.92 95% CI 1.70, 2.18) compared with moderate (HR 1.15 95% CI 1.04, 1.28) smoking. In the interaction analysis, the risk associated with the combined effect of smoking and family history was higher than the sum of their individual effects, though statistically non-significant (RERI 1.30 95% CI ‒0.92, 3.51). Heavy smokers with a positive family history showed a prominent interaction (RERI 4.13 95% CI ‒0.88, 9.13) which exceeded moderate smokers (RERI 0.61 95% CI ‒1.90, 3.13), suggesting a dose-response interaction pattern. CONCLUSION: Our findings indicate the possibility of an interaction between RA-associated genes and smoking.

Familial Risk of Renal Cell Cancer and Interaction with Obesity and Hyperglycemia: A Population-Based Study.

PURPOSE: We quantified the familial risk of renal cell cancer (RCC) among first-degree relatives (FDRs) on a population level, and examined interactions between family history and body mass index or blood glucose. MATERIALS AND METHODS: Using the National Health Insurance database, which covers the entire Korean population, and the National Health Screening Program, we constructed a cohort of 5,524,403 individuals with blood-related FDRs and their lifestyle factors from 2002 to 2018. We calculated familial risk using incidence risk ratios (IRRs) with 95% confidence intervals, which compares the risk of individuals with and without FDR. The combined effect and interaction of a given risk factor and family history of RCC were measured by the relative excess risk due to interaction. RESULTS: Individuals with affected FDRs showed a 2.29-fold (95% CI 1.68-3.13) increased risk of disease. Familial risk adjusted for lifestyle factors showed minimal attenuation (IRR 2.25; 95% CI: 1.65-3.08), suggesting that genetic predisposition is the main contributor in the familial aggregation of RCC. Individuals with both a positive family history and overweight/obesity (IRR 3.71, 95% CI 2.50-4.92) or hyperglycemia (IRR 4.52, 95% CI 2.59-6.45) had a significantly higher risk that exceeded the sum of their individual risks, suggesting an interaction that was statistically significant (relative excess risk due to interaction 95% CI: 0.91, -0.21-2.12; 2.21, 0.28-4.14). CONCLUSIONS: Our findings suggest an interaction between genetic and environmental factors, namely obesity and hyperglycemia. Individuals with both factors should be considered a high-risk group and advised to undergo genetic counseling.

Familial Risk and Its Interaction With Body Mass Index and Physical Activity in Anterior Cruciate Ligament Injury Among First-Degree Relatives: A Population-Based Cohort Study.

BACKGROUND: Genetic and behavioral risk factors have been suggested to play a role in anterior cruciate ligament (ACL) injury. However, population-based familial risk estimates are unavailable. PURPOSE: To quantify familial risk of ACL injury among first-degree relatives (FDRs) after controlling for certain behavioral risk factors. To estimate the combined effect of family history and body mass index (BMI) or physical activity on the risk of ACL injury. STUDY DESIGN: Cohort study; Level of evidence, 3. METHODS: Using nationwide data from the Korean National Health Insurance and National Health Screening Program databases on kinship, lifestyle habits, and anthropometrics, 5,184,603 individuals with blood-related FDRs were identified from 2002 to 2018. Familial risk of ACL injury, as represented as incidence risk ratios (IRRs) with 95% CIs, was analyzed using Cox proportional hazards models among individuals with versus without affected FDRs. Analyses were adjusted for age, sex, and behavioral risk factors. Interaction testing between familial history and BMI or physical activity was performed on an additive scale. RESULTS: The risk of ACL injury was 1.79-fold higher (IRR, 1.79; 95% CI, 1.73-1.85) among individuals with versus without affected FDRs, and the incidence was 12.61 per 10,000 person-years. The IRR (95% CI) was highest with affected twins at 4.49 (3.01-6.69), followed by siblings at 2.31 (2.19-2.44), the father at 1.58 (1.49-1.68), and the mother at 1.52 (1.44-1.61). High BMI and high level of physical activity were significantly associated with the risk of ACL injury. Individuals with positive family history and either high BMI or physical activity had a 2.59- and 2.45-fold increased risk of injury as compared with the general population, respectively, and the combined risks exceeded the sum of their independent risks. CONCLUSION: Familial factors are risk factors for ACL injury with an additional contribution of 2 behavioral factors: BMI and physical activity level. A significant interaction was observed between family history of ACL injury and high BMI/level of physical activity.