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The Drosophila melanogaster Genetic Reference Panel.

Mackay, Trudy F C; Richards, Stephen; Stone, Eric A; Barbadilla, Antonio; Ayroles, Julien F; Zhu, Dianhui; Casillas, Sònia; Han, Yi; Magwire, Michael M; Cridland, Julie M; Richardson, Mark F; Anholt, Robert R H; Barrón, Maite; Bess, Crystal; Blankenburg, Kerstin Petra; Carbone, Mary Anna; Castellano, David; Chaboub, Lesley; Duncan, Laura; Harris, Zeke; Javaid, Mehwish; Jayaseelan, Joy Christina; Jhangiani, Shalini N; Jordan, Katherine W; Lara, Fremiet; Lawrence, Faye; Lee, Sandra L; Librado, Pablo; Linheiro, Raquel S; Lyman, Richard F; Mackey, Aaron J; Munidasa, Mala; Muzny, Donna Marie; Nazareth, Lynne; Newsham, Irene; Perales, Lora; Pu, Ling-Ling; Qu, Carson; Ràmia, Miquel; Reid, Jeffrey G; Rollmann, Stephanie M; Rozas, Julio; Saada, Nehad; Turlapati, Lavanya; Worley, Kim C; Wu, Yuan-Qing; Yamamoto, Akihiko; Zhu, Yiming; Bergman, Casey M; Thornton, Kevin R; Mittelman, David; Gibbs, Richard A

Nature. 2012;482(7384):173-8.

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Abstract

A major challenge of biology is understanding the relationship between molecular genetic variation and variation in quantitative traits, including fitness. This relationship determines our ability to predict phenotypes from genotypes and to understand how evolutionary forces shape variation within and between species. Previous efforts to dissect the genotype-phenotype map were based on incomplete genotypic information. Here, we describe the Drosophila melanogaster Genetic Reference Panel (DGRP), a community resource for analysis of population genomics and quantitative traits. The DGRP consists of fully sequenced inbred lines derived from a natural population. Population genomic analyses reveal reduced polymorphism in centromeric autosomal regions and the X chromosome, evidence for positive and negative selection, and rapid evolution of the X chromosome. Many variants in novel genes, most at low frequency, are associated with quantitative traits and explain a large fraction of the phenotypic variance. The DGRP facilitates genotype-phenotype mapping using the power of Drosophila genetics.

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Place of publication:
England
Volume:
482
Issue:
7384
Pagination:
173-8
Digital Object Identifier:
10.1038/nature10811
Pubmed Identifier:
22318601
Pii Identifier:
nature10811
Access state:
Active

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Manchester eScholar ID:
uk-ac-man-scw:157661
Created by:
Bergman, Casey
Created:
19th March, 2012, 19:35:30
Last modified by:
Bergman, Casey
Last modified:
6th March, 2016, 19:31:24

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