http://bit.ly/IIBMP2020-Tanigawa
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2020年日本バイオインフォマティクス学会年会・第9回生命医薬情報学連合学会で発表の機会をいただきました。スライドを公開します。こちらのページもあわせてご覧ください:http://bit.ly/IIBMP2020-Tanigawa
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I had a wonderful opportunity to give a virtual oral presentation at Informatics in Biology, Medicine, and Pharmacology conference, 2020. I talked about joint analysis of multiple traits in genetic disease studies using DeGAs and multi-PRS as example projects. Please check this website for more information: http://bit.ly/IIBMP2020-Tanigawa
13. Slides: http://bit.ly/IIBMP2020-Tanigawa
http://rivaslab.stanford.edu
Low-rank representation of association summary
statistics provides latent components
1. Genome & phenome-wide association summary statistic matrix
2. Truncated-singular value decomposition (TSVD)
3. Decompose the genetics association
Summary statistics from
association analysis
(beta or log odds ratio)
13
Tanigawa*, Li*, et al. Nat Comm (2019).
34. Slides: http://bit.ly/IIBMP2020-Tanigawa
http://rivaslab.stanford.edu
Reference
Today’s slides: http://bit.ly/IIBMP2020-Tanigawa
Questions & comments: @yk_tani or email
1. [DeGAs] Tanigawa*, J. Li*, J. M. Justesen, H. Horn, M. Aguirre, C. DeBoever, C. Chang, B.
Narasimhan, K. Lage, T. Hastie, C. Y. Park, G. Bejerano, E. Ingelsson, M. A. Rivas, Components
of genetic associations across 2,138 phenotypes in the UK Biobank highlight adipocyte biology.
Nat Commun. 10, 1-14 (2019). https://doi.org/10.1038/s41467-019-11953-9
2. [multi-PRS / Biomarkers] N. Sinnott-Armstrong*, Y. Tanigawa*, D. Amar, N. J. Mars, M. Aguirre,
G. R. Venkataraman, M. Wainberg, H. M. Ollila, J. P. Pirruccello, J. Qian, A. Shcherbina,
FinnGen, F. Rodriguez, T. L. Assimes, V. Agarwala, R. Tibshirani, T. Hastie, S. Ripatti, J. K.
Pritchard, M. J. Daly, M. A. Rivas, Genetics of 38 blood and urine biomarkers in the UK Biobank.
bioRxiv, 660506 (2019). https://doi.org/10.1101/660506
3. [Polygenic risk score with BASIL/snpnet] J. Qian, Y. Tanigawa, W. Du, M. Aguirre, R. Tibshirani,
M. A. Rivas, T. Hastie, A Fast and Scalable Framework for Large-scale and Ultrahigh-dimensional
Sparse Regression with Application to the UK Biobank. bioRxiv, 630079 (2019).
https://doi.org/10.1101/630079
4. Global Biobank Engine: http://gbe.stanford.edu/
34
35. Slides: http://bit.ly/IIBMP2020-Tanigawa
http://rivaslab.stanford.edu
Summary: Multi-trait analysis informs
genetic disease studies
Today’s slides: http://bit.ly/IIBMP2020-Tanigawa
Questions & comments: @yk_tani or email
- [Inference] DeGAs (Decomposition of Genetic Associations)
- New method to map latent genetic components
- Therapeutic target identification
- [Prediction] multi-PRS
- Biomarker PRS improves
disease prediction
35Tanigawa*, Li*, et al. Nat Comm (2019).
Sinnott-Armstrong*, Tanigawa*, et al. bioRxiv (2019).