Searching For Causal Genetic Mechanisms Across Human Populations

APA

(2022). Searching For Causal Genetic Mechanisms Across Human Populations. The Simons Institute for the Theory of Computing. https://simons.berkeley.edu/talks/searching-causal-genetic-mechanisms-across-human-populations

MLA

Searching For Causal Genetic Mechanisms Across Human Populations. The Simons Institute for the Theory of Computing, Feb. 15, 2022, https://simons.berkeley.edu/talks/searching-causal-genetic-mechanisms-across-human-populations

BibTex

          @misc{ scivideos_19669,
            doi = {},
            url = {https://simons.berkeley.edu/talks/searching-causal-genetic-mechanisms-across-human-populations},
            author = {},
            keywords = {},
            language = {en},
            title = {Searching For Causal Genetic Mechanisms Across Human Populations},
            publisher = {The Simons Institute for the Theory of Computing},
            year = {2022},
            month = {feb},
            note = {19669 see, \url{https://scivideos.org/index.php/Simons-Institute/19669}}
          }
          
Chiara Sabatti (Stanford University)
Source Repository Simons Institute

Abstract

Identifying which genetic variants influence medically relevant phenotypes is an important task both for therapeutic development and for risk prediction. In the last decade, genome wide association studies have been the most widely-used instrument to tackle this question. One challenge that they encounter is in the interplay between genetic variability and the structure of human populations. In this talk, we will focus on some opportunities that arise when one collects data from diverse populations and present statistical methods that allow us to leverage them. The presentation will be based on joint work with M. Sesia, S. Li, Z. Ren, Y. Romano and E. Candes.