The Drosophila melanogaster Genetic Reference Panel

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

Research output: Contribution to journalArticlepeer-review

1139 Scopus citations


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.

Original languageEnglish (US)
Pages (from-to)173-178
Number of pages6
Issue number7384
StatePublished - Feb 9 2012
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • General


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