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Skip to content Skip to search Skip to footer Institute for Informatics, Data Science & Biostatistics Open Menu Back Close Menu Search for: Search Close Search AboutAbout Centers &＃038; Affiliated EntitiesCenters &＃038; Affiliated Entities The Center for Applied Clinical Informatics The Center for Population Health Informatics Office of Health Information and Data ScienceOffice of Health Information and Data Science OHIDS Leadership Office of the Chief Research Information Officer Becker Medical Library Governance – HDRC Research International Education &＃038; Training People EducationEducation Doctor of Philosophy in Biomedical Informatics and Data Science Master of Science and Certificate Programs in Biomedical Informatics Master of Science in Biostatistics and Data Science (MSBDS) Master of Science in Biostatistics (MSIBS) Certificate in Genetic Epidemiology Biomedical Informatics and Data Science at I2DB (BIDS@I2DB) Summer Research Internship Biomedical Informatics andData Science (BIDS) Fellowship Program for Inclusion and Diversity Among Individuals Engaged in Health-Related Research (PRIDE) Clinical Informatics Fellowship Consultation &＃038; ServicesConsultation &＃038; Services Data brokerage and warehouse Biostatistics REDCap MDClone News Events Connect Governance Open Search Certificate in Genetic Epidemiology Learn how to analyze and interpret genetic data using key statistical and genetic analysis approaches to understand the etiology and control of disease in groups of relatives and with inherited causes of disease in populations. A Certificate in Genetic Epidemiology can be earned after successful completion of 7 courses. Courses may be taken over one or two consecutive years. The Certificate program is designed to serve research staff and medical employees, medical students, and others who want to learn the fundamentals of Genetic Epidemiology and SAS. What is genetic epidemiology? Genetic Epidemiology is the scientific discipline that deals with the analysis of the familial distribution of traits, with a view to understanding any possible genetic basis. However, one cannot study genes except as they are expressed in people living in certain environments, and one cannot study environmental factors except as they affect people who have certain genotypes. Genetic Epidemiology is a uniquely interdisciplinary field that seeks to understand both the genetic and environmental factors and how they interact to produce various diseases and traits in humans. These studies are carried out in relatively large samples of subjects from relevant populations, thus, the population history and dynamics often come into play. Population dynamics alter the frequency and distribution of both genetic and environmental factors, and thus, their net effect on the phenotype of interest. Some population characteristics also can be exploited for the purposes of gene discovery and mapping because the history has affected the genomic structure in a way that specific genotypes associated with disease can be identified. Human diseases have been the focal point of genetic epidemiologic studies and recent efforts are directed toward complex disorders such as coronary heart disease, hypertension, diabetes, obesity, cancer, atopy and allergies, and neurological and psychiatric disorders, to name a few. It is commonly thought that an understanding of the genetic underpinnings of such diseases will revolutionize medicine in the 21st century enabling better preventive measures, diagnosis, prognosis, and novel treatments. Given progress in the Human Genome Project, in computing power, and in the creation of powerful statistical methods of analysis, we are poised to shepherd this revolution. It is an exciting time in science, and opportunities for careers in genetic epidemiology abound. Learning objectives Understand fundamental knowledge of bioinformatics and genetic analysis approaches including linkage and association analysis, genome-wide association studies (GWAS), gene expression, epigenetics, and integrative genomics. Master core statistical and computing skills including SAS and R programming, regression, prediction, graphical presentation, and interpretation of the corresponding results. Obtain domain knowledge in bioinformatics and clinical trials. Prerequisites Students applying for the Certificate in Genetic Epidemiology must have a basic understanding of genetics/biology and strong quantitative skills. Applicants must have an undergraduate or higher degree from an accredited institution in mathematics, statistics, genetics,  biomedical engineering, or other closely related areas, as well as some research experience. All prospective students must provide evidence of basic skills in computer programming through coursework or documented experience. Typically, we expect all applicants to have taken the following courses or their equivalents. If you have any questions about whether a course will meet our prerequisites, please inquire at [email protected]. Introduction to BiologyIntroduction to GeneticsCalculus ICalculus IIElementary Probability & StatisticsComputer Programming Curriculum The Certificate in Genetic Epidemiology requires 7 courses (19 credit hours), and begins in the late summer semester, last week of June or first week of July, depending on the academic year. Core Courses (course descriptions») SemesterCourseCourse NumberCredit HoursSummer YR 1Statistical Computing with SASM21-5032Introduction to R for Data ScienceM21-5062Fall YR 1Biostatistics I (first half of semester)M21-5603Biostatistics II (second half of semester)M21-5703Fundamentals of Genetic Epidemiology (second half of semester)M21-5153Introduction to BioinformaticsM21-5503Human Genetic AnalysisM21-54833 Apply The GE application opens on September 1, 2024 and closes on January 31, 2025. Applicants are strongly encouraged to apply early. For questions related to the Certificate in Genetic Epidemiology or application process, please contact: Special Programs [email protected] GE Certificate Application» Informatics, data science and biostatistics education programs Master of Science and Certificate Programs in Biomedical Informatics Master of Science in Biostatistics and Data Science (MSBDS) Certificate in Biostatistics and Data Science Master of Science in Biostatistics (MSIBS) Certificate in Genetic Epidemiology Biomedical Informatics and Data Science at I2DB (BIDS@I2DB) Summer Research Internship Biomedical Informatics andData Science (BIDS) Fellowship Program for Inclusion and Diversity Among Individuals Engaged in Health-Related Research (PRIDE) Clinical Informatics Fellowship Institute for Informatics, Data Science & BiostatisticsWashington University School of Medicine660 S. Euclid Ave.Campus Box 8132Saint Louis, MO [email protected] Twitter ©2024 Washington University in St. Louis