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Monday, July 27 • 18:30 - 18:45
Local Ancestry

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In association studies, researchers combine samples with different (usually, opposing) phenotypes and compare frequencies of Single Nucleotide Polymorphisms (SNPs) in two groups. When a sufficient number of samples are available (typically thousands of samples for complex traits), a significant difference in frequencies between the groups indicates the existence of an association between the position on the genome and the studied phenotype.
However, there is a danger that the association due to the study group is not homogenous in terms of provenance/origin (for example all people with the disease are of French origin, and the healthy cohort is Bulgarian). In such a case, two populations may have different frequencies of ancestry informative markers (AIM), that are not causal to the phenotype. This situation is particularly real if the phenotype/disease is more common in one population than in another, which is typical in crop breeding and human GWAS studies. In such cases, the samples are almost certainly biased. We developed a new tool for determining local origin along a genome from whole-genome sequencing or high-density genotyping experiments

Speakers
avatar for Tatiana Tatarinova

Tatiana Tatarinova

Fletcher Jones Endowed Chair in Computational Biology, University of LaVerne
Professor of Computational biology moonlighting as a rock musicianhttps://soundcloud.com/tatiana-tatarinova-378061263/zdes-314-zdes



Monday July 27, 2020 18:30 - 18:45 MSK
Zoom Conference https://zoom.us/j/94321101353?pwd=QlJBb09uM0NVVnVyK0FkbTJ3Nkcrdz09