Polygenic Risk Predictors in Multiple Cancers

Steve answers questions about recent progress in AI/ML prediction of complex traits from DNA and applications in embryo selection.

Highlights:

1. Overview of recent advances in trait prediction
2. Would cost savings from breast cancer early detection pay for genotyping of all women?
3. How does IVF work? Economics of embryo selection
4. Whole embryo genotyping increases IVF success rates (pregnancy per transfer) significantly
5. Future predictions

Some relevant scientific papers:

• Preimplantation Genetic Testing for Aneuploidy: New Methods and Higher Pregnancy Rates - https://infoproc.blogspot.com/2022/01/preimplantation-genetic-testing-for.html
• 2021 review article on complex trait prediction - https://arxiv.org/abs/2101.05870
• Accurate Genomic Prediction of Human Height - https://www.genetics.org/content/210/2/477
• Genomic Prediction of 16 Complex Disease Risks Including Heart Attack, Diabetes, Breast and Prostate Cancer - https://www.nature.com/articles/s41598-019-51258-x
• Genetic architecture of complex traits and disease risk predictors - https://www.nature.com/articles/s41598-020-68881-8
• Sibling validation of polygenic risk scores and complex trait prediction - https://www.nature.com/articles/s41598-020-69927-7

Music used with permission from Blade Runner Blues Livestream improvisation by State Azure.

Steve Hsu is Professor of Theoretical Physics and of Computational Mathematics, Science, and Engineering at Michigan State University. Previously, he was Senior Vice President for Research and Innovation at MSU and Director of the Institute of Theoretical Science at the University of Oregon.

Hsu is a startup founder (SafeWeb, Genomic Prediction, Othram) and advisor to venture capital and other investment firms. He was educated at Caltech and Berkeley, was a Harvard Junior Fellow, and has held faculty positions at Yale, the University of Oregon, and MSU.

Please send any questions or suggestions to manifold1podcast@gmail.com or Steve on Twitter @hsu_steve.

You can find Steve's writing on his blog Information Processing.

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