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Updated: Jul 5, 2026
05:53
Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry
Published on: June 21, 2018
Addictions biology: haplotype-based analysis for 130 candidate genes on a single array.
Colin A Hodgkinson1, Qiaoping Yuan, Ke Xu
1Laboratory of Neurogenetics, NIAAA, 5625 Fishers Lane, Room 3S32 MSC9412, Rockville, MD 20852-1728, USA. chodg@mail.nih.gov
Alcohol and Alcoholism (Oxford, Oxfordshire)
|May 15, 2008
Summary
This study developed a cost-effective Addictions Array for high-quality SNP genotyping. The array efficiently captures haplotype information for addiction and mood disorder candidate genes, aiding genetic research.
Area of Science:
- Genetics
- Pharmacogenomics
- Neuroscience
Background:
- Addiction and mood disorders are complex genetic conditions.
- Understanding the genetic basis requires comprehensive haplotype analysis.
- Existing methods may lack cost-effectiveness or specific gene coverage.
Purpose of the Study:
- To develop a novel panel of markers for comprehensive haplotype information.
- To focus on candidate genes relevant to alcoholism, addictions, and mood/anxiety disorders.
- To create a cost-effective genotyping solution for genetic research.
Main Methods:
- Haplotype tagging and genotyping of 130 candidate genes using Illumina GoldenGate SNP technology.
- Genotyping across 7 case/control and 51 reference populations.
- Development and validation of 186 ancestry informative markers.
Main Results:
- High-throughput genotyping achieved an average completion rate of 91.3% and call rate of 98.3%.
- The Addictions Array demonstrated comparable haplotype capture performance to commercial whole-genome arrays.
- DNA quality was identified as crucial for high-throughput assay success.
Conclusions:
- Haplotype-tagged candidate gene arrays offer a cost-effective method for high-quality SNP genotyping.
- The Addictions Array is valuable for haplotype-based analysis of addiction-related genes.
- Included ancestry informative markers enhance utility by enabling admixture detection and correction.
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