Genome-wide QTL analysis for anxiety trait in bipolar disorder type I

J Affect Disord. 2018 Jul:234:105-108. doi: 10.1016/j.jad.2017.12.019. Epub 2017 Dec 11.

Abstract

Background: Genetic studies have been consistent that bipolar disorder type I (BPI) runs in families and that this familial aggregation is strongly influenced by genes. In a preliminary study, we proved that anxiety trait meets endophenotype criteria for BPI.

Methods: We assessed 619 individuals from the Central Valley of Costa Rica (CVCR) who have received evaluation for anxiety following the same methodological procedure used for the initial pilot study. Our goal was to conduct a multipoint quantitative trait linkage analysis to identify quantitative trait loci (QTLs) related to anxiety trait in subjects with BPI. We conducted the statistical analyses using Quantitative Trait Loci method (Variance-components models), implemented in Sequential Oligogenic Linkage Analysis Routines (SOLAR), using 5606 single nucleotide polymorphism (SNPs).

Results: We identified a suggestive linkage signal with a LOD score of 2.01 at chromosome 2 (2q13-q14).

Limitations: Since confounding factors such as substance abuse, medical illness and medication history were not assessed in our study, these conclusions should be taken as preliminary.

Conclusions: We conclude that region 2q13-q14 may harbor a candidate gene(s) with an important role in the pathophysiology of BPI and anxiety.

Keywords: Anxiety; Bipolar disorder; Endophenotype; Genetic studies; Quantitative trait linkage analysis.

Publication types

  • Research Support, N.I.H., Extramural

MeSH terms

  • Adolescent
  • Adult
  • Aged
  • Anxiety Disorders / genetics*
  • Anxiety Disorders / psychology*
  • Bipolar Disorder / genetics*
  • Bipolar Disorder / psychology*
  • Costa Rica
  • Endophenotypes
  • Female
  • Genetic Linkage / genetics
  • Genome-Wide Association Study / methods
  • Humans
  • Lod Score
  • Male
  • Middle Aged
  • Pilot Projects
  • Polymorphism, Single Nucleotide / genetics
  • Quantitative Trait Loci / genetics*
  • Young Adult