Drs. Crespo and Tillquist to present at AAPA
Drs. Crespo and Tillquist will be presenting their research at the annual meeting of the American Association of Physical Anthropologists.
Apr 14, 2011
from 12:00 am to 12:00 am
|Where||The Hilton, Minneapolis|
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Dr. Crespo and Dr. Tillquist will be presenting their research on the distinction between demography and selection at the annual meeting of American physical anthropologists in Minneapolis, Minnesota this year. The poster session will be up all day on April 14th.
Title: Distinguising demography from selection: Parsing multiple signals within a single gene.
Much work has been done examining population-based sequence data for the signature of recent strong positive selection. Generally these tests have focused on comparing characteristics of the surrounding sequence in different populations or species to infer the action of selection on a particular locus. Here we present an analysis of the geographic distribution of multiple single nucleotide polymorphisms within a single gene. We chose to study PR Domain-Containing Protein 16 (PRDM16), a gene involved in developmental morphogenesis and an important component in differentiation of pre-adipocytes into brown fat. This rather large gene, greater than 300 kb, is found at 1p36.3 -- a region with a rather high rate of recombination. We use CEPH-HGDP data from Eurasian samples to test whether SNPs from same gene give similar patterns when analyzed for anisotrophy. The CEPH-HGDP website provides 77 SNPs within the PRDM16 gene, and regional estimates of linkage disequilibrium document two major stretches of near complete LD. Using a subset of the 77 available SNPs from within and without regions of high LD and spanning the gene reveals dissimilar patterns of ansiotrophy. While SNPs within LD blocks show rather similar patterns, SNPs outside of LD blocks give a different concordant pattern. We infer that these results may be evidence of a combination of purifying selection and demographic processes, and suggest this approach as a complementary method for understanding human genome evolution writ large.