There was an error in the numbering of the references in page 375-376: Sue K. Park, Ji-Yeob Choi. Risk Assessment and Pharmacogenomics in Molecular and Genomic Epidemiology. J Prev Med Public Health 2009; 42(6): 371-6.

In this article, we reviewed the literature on risk assessment (RA) models with and without molecular genomic markers and the current utility of the markers in the pharmacogenetic field. Epidemiological risk assessment is applied using statistical models and equations established from current scientific knowledge of risk and disease. Several papers have reported that traditional RA tools have significant limitations in decision-making in management strategies for individuals as predictions of diseases and disease progression are inaccurate. Recently, the model added information on the genetic susceptibility factors that are expected to be most responsible for differences in individual risk. On the continuum of health care, from diagnosis to treatment, pharmacogenetics has been developed based on the accumulated knowledge of human genomic variation involving drug distribution and metabolism and the target of action, which has the potential to facilitate personalized medicine that can avoid therapeutic failure and serious side effects. There are many challenges for the applicability of genomic information in a clinical setting. Current uses of genetic markers for managing drug therapy and issues in the development of a valid biomarker in pharmacogenetics are discussed.
*Genetic Markers ; Genetic Predisposition to Disease ; Genetic Testing ; Genome, Human ; Humans ; Individualized Medicine ; Models, Statistical ; *Molecular Epidemiology ; *Pharmacogenetics ; Risk Assessment

In the ranking of cancer incidence in the year, female breast cancer was the highest cancer after thyroid cancer in 2004–2015, and became the most common cancer in 2016, exceeding the cases of thyroid cancer. The incidence rates of breast cancer have increased steadily over the past two decades and are expected to continue to increase in the next decades, although the incidence rates of all other cancers has declined in Korea. Most of the established risk factors of breast cancer are primarily related to female sex hormones. Other known risk factors are alcohol drinking, a family history of breast cancer, genetic predisposition, and benign breast conditions. Some risk factors, such as physical activity, breastfeeding, and number of children, are modifiable factors that can be targeted for risk reduction. This article summarizes the descriptive epidemiological characteristics of breast cancer in Korea that have been reported and identifies the specific characteristics and secular trends in incidence, mortality, and survival rates of breast cancer up to the present day. It is uncertain whether the risk factors established in western populations will also be valid for the Korean population. To explore this question, we summarize the results from international collaborative studies and meta-analyses of risk factors of breast cancer published to date. The results for Koreans are summarized and described based on results from population-based or nested case-control studies, hospital case-community control studies, cohort studies, and meta-analyses conducted in Korea. This study will be helpful for risk assessment, interventions, and prevention of breast cancer.

In the ranking of cancer incidence in the year, female breast cancer was the highest cancer after thyroid cancer in 2004–2015, and became the most common cancer in 2016, exceeding the cases of thyroid cancer. The incidence rates of breast cancer have increased steadily over the past two decades and are expected to continue to increase in the next decades, although the incidence rates of all other cancers has declined in Korea. Most of the established risk factors of breast cancer are primarily related to female sex hormones. Other known risk factors are alcohol drinking, a family history of breast cancer, genetic predisposition, and benign breast conditions. Some risk factors, such as physical activity, breastfeeding, and number of children, are modifiable factors that can be targeted for risk reduction. This article summarizes the descriptive epidemiological characteristics of breast cancer in Korea that have been reported and identifies the specific characteristics and secular trends in incidence, mortality, and survival rates of breast cancer up to the present day. It is uncertain whether the risk factors established in western populations will also be valid for the Korean population. To explore this question, we summarize the results from international collaborative studies and meta-analyses of risk factors of breast cancer published to date. The results for Koreans are summarized and described based on results from population-based or nested case-control studies, hospital case-community control studies, cohort studies, and meta-analyses conducted in Korea. This study will be helpful for risk assessment, interventions, and prevention of breast cancer.
Alcohol Drinking ; Breast Feeding ; Breast Neoplasms ; Breast ; Case-Control Studies ; Child ; Cohort Studies ; Epidemiology ; Female ; Genetic Predisposition to Disease ; Gonadal Steroid Hormones ; Humans ; Incidence ; Korea ; Mortality ; Motor Activity ; Risk Assessment ; Risk Factors ; Risk Reduction Behavior ; Survival Rate ; Thyroid Neoplasms

Objectives: This study aimed to identify the social and policy determinants of coronavirus disease 2019 (COVID-19) infection across 23 countries. Methods: COVID-19 indicators (incidence, mortality, and fatality) for each country were calculated by direct and indirect standardization. Multivariable regression analyses were used to identify the social and policy determinants of COVID-19 infection. Results: A higher number of doctors per population was related to lower incidence, mortality, and fatality rates of COVID-19 in 23 countries (β=-0.672, -0.445, and -0.564, respectively). The number of nurses/midwives per population was associated with lower mortality and fatality rates of COVID-19 in 23 countries (β=-0.215 and -0.372, respectively). Strengthening of policy restriction indicators, such as restrictions of public gatherings, was related to lower COVID-19 incidence (β=-0.423). A national Bacillus Calmette–Guérin vaccination policy conducted among special groups or in the past was associated with a higher incidence of COVID-19 in 23 countries (β=0.341). The proportion of the elderly population (aged over 70 years) was related to higher mortality and fatality rates (β=0.209 and 0.350, respectively), and income support was associated with mortality and fatality rates (β=-0.362 and -0.449, respectively). Conclusions These findings do not imply causality because this was a country-based correlation study. However, COVID-19 transmission can be influenced by social and policy determinants such as integrated health systems and policy responses to COVID-19. Various social and policy determinants should be considered when planning responses to COVID-19.