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Genome-wide QTL Analysis for Anxiety Trait in Bipolar Disorder Type I

Overview
Journal J Affect Disord
Date 2018 Mar 12
PMID 29525350
Citations 1
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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.

Citing Articles

Multivariate analysis of genome-wide data to identify potential pleiotropic genes for five major psychiatric disorders using MetaCCA.

Jia X, Yang Y, Chen Y, Cheng Z, Du Y, Xia Z J Affect Disord. 2018; 242:234-243.

PMID: 30212762 PMC: 6343670. DOI: 10.1016/j.jad.2018.07.046.