%0 Journal Article %1 hunterzinck2015aberrant %A Hunter-Zinck, Haley %A Clark, Andrew G. %D 2015 %J Molecular Biology and Evolution %K PSMC along_the_genome methods scan_for_selection %N 10 %P 2784-2797 %R 10.1093/molbev/msv142 %T Aberrant Time to Most Recent Common Ancestor as a Signature of Natural Selection %U http://mbe.oxfordjournals.org/content/32/10/2784.abstract %V 32 %X Natural selection inference methods often target one mode of selection of a particular age and strength. However, detecting multiple modes simultaneously, or with atypical representations, would be advantageous for understanding a population’s evolutionary history. We have developed an anomaly detection algorithm using distributions of pairwise time to most recent common ancestor (TMRCA) to simultaneously detect multiple modes of natural selection in whole-genome sequences. As natural selection distorts local genealogies in distinct ways, the method uses pairwise TMRCA distributions, which approximate genealogies at a nonrecombining locus, to detect distortions without targeting a specific mode of selection. We evaluate the performance of our method, TSel, for both positive and balancing selection over different time-scales and selection strengths and compare TSel’s performance with that of other methods. We then apply TSel to the Complete Genomics diversity panel, a set of human whole-genome sequences, and recover loci previously inferred to be under positive or balancing selection.

@article{hunterzinck2015aberrant, abstract = {Natural selection inference methods often target one mode of selection of a particular age and strength. However, detecting multiple modes simultaneously, or with atypical representations, would be advantageous for understanding a population’s evolutionary history. We have developed an anomaly detection algorithm using distributions of pairwise time to most recent common ancestor (TMRCA) to simultaneously detect multiple modes of natural selection in whole-genome sequences. As natural selection distorts local genealogies in distinct ways, the method uses pairwise TMRCA distributions, which approximate genealogies at a nonrecombining locus, to detect distortions without targeting a specific mode of selection. We evaluate the performance of our method, TSel, for both positive and balancing selection over different time-scales and selection strengths and compare TSel’s performance with that of other methods. We then apply TSel to the Complete Genomics diversity panel, a set of human whole-genome sequences, and recover loci previously inferred to be under positive or balancing selection.}, added-at = {2015-09-29T03:01:32.000+0200}, author = {Hunter-Zinck, Haley and Clark, Andrew G.}, biburl = {https://www.bibsonomy.org/bibtex/2aae443e1a2d3f36da9efc757e655b5da/peter.ralph}, description = {Aberrant Time to Most Recent Common Ancestor as a Signature of Natural Selection}, doi = {10.1093/molbev/msv142}, eprint = {http://mbe.oxfordjournals.org/content/32/10/2784.full.pdf+html}, interhash = {e1db0ba443401fd02ecbd528d04eab23}, intrahash = {aae443e1a2d3f36da9efc757e655b5da}, journal = {Molecular Biology and Evolution}, keywords = {PSMC along_the_genome methods scan_for_selection}, number = 10, pages = {2784-2797}, timestamp = {2015-09-29T03:01:32.000+0200}, title = {Aberrant Time to Most Recent Common Ancestor as a Signature of Natural Selection}, url = {http://mbe.oxfordjournals.org/content/32/10/2784.abstract}, volume = 32, year = 2015 }