||July 1, 2010
||Serafim Batzoglou, Assistant Professor, Stanford University, Department of Computer Science
||Extracting medical and ancestry information from genomes
Obtaining DNA information is rapidly becoming inexpensive enough so that
every individual may soon be genotyped or even sequenced. In this talk,
I will talk about two main applications of personal genomics: the study
of complex diseases, and the inference of population ancestry.
First, I will talk about how to compare genomes across patients and
healthy individuals to study disease similarity. The idea is that many
complex diseases such as diabetes, rheumatoid arthritis, hypertension or
bipolar disorder, are partially caused by similar genes. Moreover, gene
versions (alleles) that protect from one disease may increase the risk
of another, pointing to competing biological mechanisms causing
Second, I will talk about how given an individual's genome, or genotype
(a low-resolution sample of a genome), we can infer the populations of
the individual's ancestors up to 10 or even 20 generations back.