This wiki is maintained by the research labs of Matthew Keller and Scott Vrieze. We are a research group at the Institute for Behavioral Genetics at the University of Colorado Boulder. Our research includes
- Genome-wide association studies using microarrays and whole genome sequencing.
- Twin/Adoption studies
- Development of new assessments using wireless sensors such as those in your smartphone.
We're hiring postdocs and taking grad students!
DevCon The "Developmental Consortium" is a budding longitudinal genetic association consortium effort.
Lab meeting goals and schedule are here.
PSYC 3102: Behavioral Genetics. This course covers introductory material and concepts in behavioral and psychiatric genetics. We cover the history of BG, Mendelian diseases to illustrate basic gene/environment concepts, twin and adoption studies, and recent molecular approaches including whole genome sequencing and genome wide association analyses.
PSYC 3112: Behavioral Genetics II. This course covers more advanced concepts in behavioral genetics, including recent molecular approaches including whole genome sequencing and genome wide association analyses.
PSYC 7693: Personality Measurement. Core PhD-level clinical psychology course designed to teach basic measurement and decision theory, as well as application of psychological tests like the MMPI-2 and structured interviews like the SCID5.
PSYC 2111: Statistics and research methods. This course is designed to be a quick overview of descriptive and inferential statistics, up to and including the general linear model.
PSYC 3101H- Honors Statistics in Psychological Research. Statistics and the research process are best learned by doing it, so the course is organized to give students lots of experience doing statistics and research. Part I of the course, approximately the first half of the semester, covers basic concepts and statistical techniques. Students master the techniques by using them in laboratory exercises and homework problems. There is a Mastery Exam at the end of Part I. Part II provides students with experience in all phases of the research process and it will allows students the opportunity to follow their own topical interests.
PSYC 5541 - Statistical Programming with R - This class is designed to get you fluent enough in the R programming language to use it as your go-to statistical and graphing software once you've completed the class. A good knowledge of the general linear model is assumed.
PSYC 5541 - Modern Methods in Statistical Genetics. The goal of this class is to introduce graduate students to modern methods in statistical genetics that use genome-wide data, to understand how results coming from these methods should be interpreted, and to gain insight into the conditions that must be met for proper conclusions to be drawn.
Odds and Ends
Other IBG-related wikis
Anything that can be posted publicly from our lab is posted here on this wiki. For internal documents and conversations we have an internal wiki. The rest of IBG also has a wiki for other other projects.
Great stuff from Paul Meehl