Fundamentals of Genetics: Core Concepts and Applications, The Science of Genes and Genomes: Mapping, Variation, and Evolutionary Forces.
Course Description
This course provides a comprehensive introduction to the principles and applications of genetics, designed for students and professionals seeking a solid foundation in the field. It begins with the molecular basis of heredity, exploring what genes are, how DNA stores and transmits information, and the role of proteins in cellular processes. Students will learn the structure of DNA, mechanisms of genetic variation, and essential terminology that underpins modern genetics.
Building on these fundamentals, the course covers Mendelian inheritance, probability in genetic analysis, and interpretation of pedigrees for understanding genetic diseases. Chromosomal genetics is introduced through the study of mitosis, meiosis, and sex-linked traits, providing insight into how chromosomes influence inheritance patterns.
The course also examines key laboratory techniques used in genetic research, including restriction enzyme analysis, gel electrophoresis, PCR, and DNA microarrays. Students will gain an understanding of linkage and recombination, genetic mapping strategies, and genome-wide association studies, which are critical for connecting genetic markers to traits and diseases.
Advanced topics include quantitative genetics, heritability, and the analysis of complex traits, as well as population genetics concepts such as Hardy-Weinberg equilibrium, mutation, migration, genetic drift, and natural selection. These sections highlight how genetic variation shapes populations and influences evolutionary processes.
By the end of the course, students will be able to:
- Explain core genetic principles
- Apply statistical methods to genetic problems
- Interpret genetic data
- Understand the relevance of genetics in research, medicine, and biotechnology.
This course serves as a strong foundation for further study in molecular biology, genomics, and related disciplines.
This course includes materials licensed under the Creative Commons Attribution license. Original work by Brian Teague of University of Wisconsin has been used across the course.
