Analysis of natural variation reveals neurogenetic networks for Drosophila olfactory behavior

Understanding the relationship between genetic variation and phenotypic variation for quantitative traits is necessary for predicting responses to natural and artificial selection and disease risk in human populations, but is challenging because of large sample sizes required to detect and validate...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Proceedings of the National Academy of Sciences - PNAS 2013-01, Vol.110 (3), p.1017-1022
Hauptverfasser:	Swarup, Shilpa, Huang, Wen, Mackay, Trudy F. C., Anholt, Robert R. H.
Format:	Artikel
Sprache:	eng
Schlagworte:	Alleles Animal behavior Animals artificial selection Behavior, Animal - physiology Biological Sciences cell communication Drosophila Drosophila melanogaster Drosophila melanogaster - genetics Drosophila melanogaster - physiology epistasis Female gene expression Gene Regulatory Networks Genes Genes, Insect Genetic Association Studies Genetic diversity Genetic loci Genetic mutation Genetic Variation Genetics, Behavioral Genome-Wide Association Study Genomes Genotype & phenotype genotype-phenotype correlation Humans Insect genetics Insects loci Male Medical genetics Models, Genetic Models, Neurological neurodevelopment Neurogenesis - genetics Neurogenesis - physiology Phenotypic traits phenotypic variation Polymorphism Polymorphism, Single Nucleotide prediction Quantitative Trait Loci quantitative traits risk single nucleotide polymorphism Smell - genetics Smell - physiology Statistical variance variance
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!