Broad Area Colloquium For AI-Geometry-Graphics-Robotics-Vision
Data, technology and populations for genomewide association studies
Itsik Pe'er, PhD
Department of Computer Science
October 2, 2006, 4:15PM
The pervasive effect of genetic variation on medically important
phenotypes provides a means for dissecting their underlying mechanisms
by identifying variants that are associated with traits of interest.
Current trends in human genetics now facilitate, for the first time,
pursuing this potential by execution of large scale studies that scan
the entire genome for potentially associated variants. Specifically, the
talk will present
(1) The International HapMap Project, a data resource we participated in
developing to enable genomewide association studies, and what our
analyses of these data tell us about human variation.
(2) The current generation of SNP array technology, and how computation
and statistics improvements allow it to cover the majority of common
(3) The tale of a pilot association scan in an isolated population in
Micronesia, where we show such scans are more promising than elsewhere,
though we expose practical complexities of real data and the
computational challenges they present.
About the Speaker
Itsik received his undergraduate and graduate degrees in Computer
Science from Tel Aviv University, under the mentorship of Ron Shamir.
Itsik then cross trained in genetics, as a postdoctoral fellow with
Jacqui Beckmann in the Department of Molecular Genetics at the Weizmann
Institute, and with Mark Daly and David Altshuler at the Broad Institute
of MIT & Harvard. Itsik recently joined the Department of Computer
Science at Columbia University.
Back to the Colloquium Page