Literature DB >> 23868983

Selection of Phototransduction Genes in Homo sapiens.

Mark Christopher1, Todd E Scheetz, Robert F Mullins, Michael D Abràmoff.   

Abstract

PURPOSE: We investigated the evidence of recent positive selection in the human phototransduction system at single nucleotide polymorphism (SNP) and gene level.
METHODS: SNP genotyping data from the International HapMap Project for European, Eastern Asian, and African populations was used to discover differences in haplotype length and allele frequency between these populations. Numeric selection metrics were computed for each SNP and aggregated into gene-level metrics to measure evidence of recent positive selection. The level of recent positive selection in phototransduction genes was evaluated and compared to a set of genes shown previously to be under recent selection, and a set of highly conserved genes as positive and negative controls, respectively.
RESULTS: Six of 20 phototransduction genes evaluated had gene-level selection metrics above the 90th percentile: RGS9, GNB1, RHO, PDE6G, GNAT1, and SLC24A1. The selection signal across these genes was found to be of similar magnitude to the positive control genes and much greater than the negative control genes.
CONCLUSIONS: There is evidence for selective pressure in the genes involved in retinal phototransduction, and traces of this selective pressure can be demonstrated using SNP-level and gene-level metrics of allelic variation. We hypothesize that the selective pressure on these genes was related to their role in low light vision and retinal adaptation to ambient light changes. Uncovering the underlying genetics of evolutionary adaptations in phototransduction not only allows greater understanding of vision and visual diseases, but also the development of patient-specific diagnostic and intervention strategies.

Entities:  

Keywords:  Homo sapiens; evolution; phototransduction; recent positive selection; vision

Mesh:

Year:  2013        PMID: 23868983      PMCID: PMC3743458          DOI: 10.1167/iovs.12-11454

Source DB:  PubMed          Journal:  Invest Ophthalmol Vis Sci        ISSN: 0146-0404            Impact factor:   4.799


  42 in total

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10.  Detecting and characterizing genomic signatures of positive selection in global populations.

Authors:  Xuanyao Liu; Rick Twee-Hee Ong; Esakimuthu Nisha Pillai; Abier M Elzein; Kerrin S Small; Taane G Clark; Dominic P Kwiatkowski; Yik-Ying Teo
Journal:  Am J Hum Genet       Date:  2013-05-23       Impact factor: 11.025

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