• Dean Palejev
  • Wookyeon Hwang
  • Nicole Landi
  • Maria Eastman
  • Stephen J. Frost
  • Robert K. Fulbright
  • Judith R. Kidd
  • Kenneth K. Kidd
  • Graeme F. Mason
  • W. Einar Mencl
  • Carolyn Yrigollen
  • Kenneth R. Pugh
  • Elena L. Grigorenko

We provide an illustration of an application of the elastic net to a large number of common genetic variants in the context of the search for the genetic bases of an endophenotype conceivably related to individual differences in learning. GABA concentration in the occipital cortex, a critical area for reading, was obtained in a group (n = 76) of children aged 6-10 years. Two extreme groups, high and low, were selected for genotyping with the 650Y Illumina array chip (Ilmn650Y). An elastic net approach was applied to the resulting SNP dataset; 100 SNPs were identified for each chromosome as "interesting" based on having the highest absolute value coefficients. The analyses highlighted chromosomes 15 and 20, which contained 55 candidate genes. The STRING partner analyses of the associated proteins pointed to a number of related genes, most notably, GABA and NTRK receptors.

Original languageEnglish
Pages (from-to)120-124
Number of pages5
JournalBehavior Genetics
Volume41
Issue number1
DOIs
StatePublished - Jan 2011

    Research areas

  • Elastic net, GABA concentration, Genetic association analysis, Occipital cortex, Reading acquisition

    Scopus subject areas

  • Ecology, Evolution, Behavior and Systematics
  • Genetics
  • Genetics(clinical)

ID: 87395456