Lecture
Lecture 9 - Mendelian Randomization
2022-04-25
Haky Im
𝕙ttps://docs.google.com/presentation/d/16aMKkcAX1QifQabgBSBR_xr8LuoLwnsj9eEBFXi6EYk/edit?usp=sharing
[…] See slides
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Lecture 8 - Functional Genomics to Inform GWAS
2022-04-20
Haky Im
𝕙ttps://docs.google.com/presentation/d/1fXQYo1sXa_FkiisLrd5CjusMkL_42XTG/edit?usp=sharing&ouid=100565019341850449624&rtpof=true&sd=true
[…] See slides
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Lecture 7 - Predicting Complex Diseases - PRS
2022-04-18
Haky Im
𝕙ttps://docs.google.com/presentation/d/11oe2nZIFqs9TOXT_QDqdpsFhZYJeVVLm/edit?usp=sharing&ouid=100565019341850449624&rtpof=true&sd=true
[…] See slides
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Lecture 6 - mixed effects - LDSC
2022-04-13
Haky Im
𝕙ttps://docs.google.com/presentation/d/1I0-4u_6PAG5Q9LNi3mfQNnvZsVgf16tO/edit?usp=sharing&ouid=100565019341850449624&rtpof=true&sd=true
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Lecture 5 - Population Structure - PCA
2022-04-11
Haky Im
𝕙ttps://docs.google.com/presentation/d/1VYfx0coU5HKQLXwbo5yr7XvgJeqt8Hdf/edit?usp=sharing&ouid=100565019341850449624&rtpof=true&sd=true
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Lecture 4 - Multiple Testing
2022-04-06
Haky Im
𝔽ind the slides here
[…] See the vignette here
[…] Storey, John D., and Robert Tibshirani. 2003. “Statistical Significance for Genomewide Studies.” Proceedings of the National Academy of Sciences 100 (16): 9440–45.
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Lecture 3 - GWAS cancer risk, QC, UKBiobank
2022-04-04
Haky Im
𝔻ownload powerpoint from here https://uchicago.box.com/s/hwktymdc2nxlcpqik7alk9m6tsypd3c4
[…] Sud, A., Kinnersley, B. & Houlston, R. Genome-wide association studies of cancer: current insights and future perspectives. Nat Rev Cancer 17, 692–704 (2017). https://doi.org/10.1038/nrc.2017.82 …
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Lecture 2 - GWAS of Cancer Risk
2022-03-30
Haky Im
𝕊ud et al (see reference section). This review covers most of the concepts we want to cover in this class. We will learn by doing and unpack many of the concepts mentioned in the review. Hopefully, you will re-read the paper at the end of the class and realize how much you have learned.
[…] …
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Lecture 9
2021-04-26
Haky Im
𝕋he slides can be found [in this link] (https://www.icloud.com/keynote/0Z_tcX5NElsNKIDL3gs0llnUQ#Post-GWAS-MR)
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Lecture 6
2021-04-13
Haky Im
𝔽ind the class notes here
[…] Notice that, under the null hypothesis, the estimated effect size divided by the standard error behaves like a normal(0,1) random variable when the sample size is large enough:
[…] \[ Z = \frac{\hat\beta}{\text{se}(\hat\beta)}\] \[Z \approx N(0,1) ~~~~~~ …
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