4 Works

Data from: Multivariate analysis of dopaminergic gene variants as risk factors of heroin dependence

Andrea Vereczkei, Zsolt Demetrovics, Anna Szekely, Peter Sarkozy, Peter Antal, Agnes Szilagyi, Maria Sasvari-Szekely & Csaba Barta
BACKGROUND: Heroin dependence is a debilitating psychiatric disorder with complex inheritance. Since the dopaminergic system has a key role in rewarding mechanism of the brain, which is directly or indirectly targeted by most drugs of abuse, we focus on the effects and interactions among dopaminergic gene variants. OBJECTIVE: To study the potential association between allelic variants of dopamine D2 receptor (DRD2), ANKK1 (ankyrin repeat and kinase domain containing 1), dopamine D4 receptor (DRD4), Catechol-O-methyl transferase...

Data from: Quantitative trait loci for growth and body size in the nine-spined stickleback Pungitius pungitius L.

Veronika N. Laine, Takahito Shikano, Gábor Herczeg, Johanna Vilkki & Juha Merilä
Body size is an ecologically important trait shown to be genetically variable both within and among different animal populations as revealed by quantitative genetic studies. However, few studies have looked into underlying genetic architecture of body size variability in the wild using genetic mapping methods. With the aid of quantitative trait loci (QTL) analyses based on 226 microsatellite markers, we mapped body size and growth rate traits in the nine-spined stickleback (Pungitius pungitius) using an...

Data from: QTL analysis of behavior in nine-spined sticklebacks (Pungitius pungitius)

Veronika N. Laine, Gábor Herczeg, Takahito Shikano, Johanna Vilkki & Juha Merilä
The genetic architecture of behavioral traits is yet relatively poorly understood in most non-model organisms. Using an F2-intercross (n = 283 offspring) between behaviorally divergent nine-spined stickleback (Pungitius pungitius) populations, we tested for and explored the genetic basis of different behavioral traits with the aid of quantitative trait locus (QTL) analyses based on 226 microsatellite markers. The behaviors were analyzed both separately (viz. feeding activity, risk-taking and exploration) and combined in order to map composite...

Data from: Bringing habitat information into statistical tests of local adaptation in quantitative traits: a case study of nine-spined sticklebacks

Markku Karhunen, Otso Ovaskainen, Gabor Herczeg & Juha Merilä
Detection of footprints of historical natural selection on quantitative traits in cross-sectional data sets is challenging, especially when the number of populations to be compared is small and the populations are subject to strong random genetic drift. We extend a recent Bayesian multivariate approach to differentiate between selective and neutral causes of population differentiation by the inclusion of habitat information. The extended framework allows one to test for signals of selection in two ways: by...

Registration Year

  • 2013
    4

Resource Types

  • Dataset
    4

Affiliations

  • Eötvös Loránd University
    4
  • University of Helsinki
    3
  • University of Turku
    2
  • Semmelweis University
    1
  • Agrifood Research Finland
    1