Skip to main content

Table 1 Comparison of Whole Genome Association (WGA) to text based, Entrez Gene, search for candidate genes.

From: Modeling gene-by-environment interaction in comorbid depression with alcohol use disorders via an integrated bioinformatics approach

 

Identifying Candidate Genes

 

WGA

Text Based Search

Data Source

Genotyping and Phenotyping

Entrez Gene

Current Availability of Data

Limited

Available

Expense

High

Free (Taxpayer Subsidized)

Sensitivity

Low; limited number of markers tested

Low; much remains unknown about most genes

Positive Predictive Value

Low; many false positives

High; curated information is backed by experimental data and peer review

Population Specific

Yes

Generally no, although population specific information may be included in some records

Specific Variants Identified

Yes, although SNPs that tag haplotypes may not be disease causing variants

Generally no, although specific variants may be annotated. Separate genotyping is usually required for validated candidates

Multi-Gene Effects on Phenotype

Limited

Yes

Complex Phenotypes

Limited

Yes

  1. Text based searches, using data at NCBI as the first source for candidate gene data, provide advantages in data availability, price, and positive predictive value.