Griffiths, Wessler, Carrol, Doebley
Whitlock & Schluter
These texts are references only. I do not recommend purchasing the texts.
Instructor: Professor David Gresham
Teaching Assistant: Darach Miller
Course Aims: To provide an integrated study of the biological basis of human heredity and statistical methods for studying human inheritance in families and populations. Students will learn the fundamentals of statistical analysis and computer programming using R.
This course fulfills the “Quantitative Skills” requirement for Biology Majors
The quizzes are intended to encourage retention of key formula, facts and concepts. They will be held during the first five minutes of Thursday’s class.
Assignments are problem based and require the use of R. With each assignment you should submit a .html file containing the computer code used to generate your results and the results generated using RMarkdown. The document should include comments describing what each step in the code is doing.
Deciphering the information encoded in the human genome is one of the greatest (and most exciting) challenges of the 21st century. This course will provide an introduction to studying and interpreting the human genome with a focus on the statistical methods required for its study. Fundamental concepts in human genetics will be introduced including inheritance of mendelian disease, population genetics, multifactorial disease and functional genomics. Accompanying each topic will be an introduction to the statistical concepts and tools that are required to study inheritance, genes and gene function. These include probability, hypothesis testing, ANOVA, regression, correlation and likelihood. Hands on experience will be provided through weekly assignments using the statistical programming language, R. Prior experience with statistics and genetics is not required.
Policy on missed tests:
Exams will be excused only for medical or family emergencies. I need to be notified by phone or email before the exam time. An unexcused absence from an exam will be calculated as 0% for that particular test! If you miss an exam and present a legitimate excuse, a make-up test will be made available to you.
Must be handed in on time. Late assignments will be penalized 25% per day.
Each class will address a topic in human genetics (Genetics) and statistics (Statistics). The recommended texts provide material complementary to that covered in class. However, the texts are not required and it is the student’s responsibility to find the appropriate section in the texts. Occasional additional readings will be provided in class.
Class 1: Tuesday January 26th (Darach Miller)
Class 2: Thursday January 28th (Darach Miller)
Lecture 1: Tuesday February 2nd
Lecture 2: Thursday February 4th
Lecture 3: Tuesday February 9th
Lecture 4: Thursday February 11th
Lecture 5: Tuesday February 16th
Lecture 6: Thursday February 18th
Lecture 7: Tuesday February 23rd
Lecture 8: Thursday February 25th
Lecture 9: Tuesday March 1st
Lecture 10: Thursday March 3rd
Lecture 11: Tuesday March 8th
Midterm exam: Thursday March 10th
Lecture 12: Thursday March 22nd
Lecture 13: Tuesday March 24th
Lecture 14: Tuesday March 29th
Lecture 15: Thursday March 31st
Lecture 16: Tuesday April 5th
Lecture 17: Thursday April 7th
Lecture 18: Tuesday April 12th
Lecture 19: Thursday April 14th
Lecture 20: Tuesday April 19th
Lecture 21: Thursday April 21st
Lecture 22: Tuesday April 26th
Lecture 23: Thursday April 28th
Lecture 24: Tuesday May 3rd
Lecture 25: Thursday May 5th
END OF SEMESTER