Identifying recent adaptations in large-scale genomic data.
Although several hundred regions of the human genome harbor signals of positive natural selection, few of the relevant adaptive traits and variants have been elucidated. Using full-genome sequence variation from the 1000 Genomes (1000G) Project and the composite of multiple signals (CMS) test, we in...
Main Authors: | Grossman, SR, Andersen, K, Shlyakhter, I, Tabrizi, S, Winnicki, S, Yen, A, Park, D, Griesemer, D, Karlsson, E, Wong, S, Cabili, M, Adegbola, R, Bamezai, R, Hill, A, Vannberg, F, Rinn, J, Lander, E, Schaffner, S, Sabeti, P |
---|---|
Format: | Journal article |
Language: | English |
Published: |
2013
|
Similar Items
-
Identifying Recent Adaptations in Large-Scale Genomic Data
by: Andersen, Kristian G., et al.
Published: (2014) -
Mining data from 1000 genomes to identify the causal variant in regions under positive selection
by: Grossman, Sharon Rachel, et al.
Published: (2012) -
Detecting recent positive selection in the human genome from haplotype structure.
by: Sabeti, P, et al.
Published: (2002) -
Direct Identification of Hundreds of Expression-Modulating Variants using a Multiplexed Reporter Assay
by: Park, Daniel S., et al.
Published: (2018) -
Genomewide association study of leprosy.
by: Wong, S, et al.
Published: (2010)