Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

DNA Microarrays02:34

DNA Microarrays

22.7K
Microarrays are high-throughput and relatively inexpensive assays that can be automated to analyze large quantities of data at a time. They are used in genome-wide studies to compare gene or protein expression under two varied conditions, such as healthy and diseased states. Microarrays consist of glass or silica slides on which probe molecules are covalently attached through surface functionalization. Most commonly, the slides are prepared through the chemisorption of silanes to silica...
22.7K
Pharmacogenomics: Identification of New Drug Targets01:29

Pharmacogenomics: Identification of New Drug Targets

76
Advances in genomics have profoundly influenced drug discovery by increasing both the speed and accuracy of pharmaceutical development. Pharmacogenomics, which examines how genetic variation influences drug response, facilitates the identification of novel therapeutic targets and enables patient stratification for personalized treatment. These strategies contribute to improved drug efficacy, minimized adverse effects, and more efficient clinical trial design.Mapping genetic differences...
76
Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

16.6K
Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
GWAS does not require the identification of the target gene involved in...
16.6K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Eating Disorders and Parkinson's Disease-1: Comorbidities, Neurobiology, and Family History.

European eating disorders review : the journal of the Eating Disorders Association·2026
Same author

The Multiethnic Cohort: A Resource for the Study of Genetic and Nongenetic Cancer Risk across Populations.

Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology·2026
Same author

TGF-β Pathway-Based Polygenic Risk Score Modifies the Association between Red Meat Intake and Colorectal Cancer Risk: Application of a Novel Pathway-Based PRS Method.

Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology·2026
Same author

Incorporating polygenic risk scores and social determinants of health across populations: Considerations and best practices in research.

American journal of human genetics·2026
Same author

Metabolites and proteins may mediate the relationship between diet quality and insulin sensitivity in young adult cohort.

Journal of diabetes and metabolic disorders·2026
Same author

Interaction of genetic and lifestyle risk scores on colorectal cancer risk across five racial and ethnic populations.

Journal of the National Cancer Institute·2026
Same journal

Tissue identity is the dominant determinant of cross-species transferability of a porcine developmental programme.

BMC genomics·2026
Same journal

Characterization of mitochondrial genomes from three medicinal species of rutaceae and comparative analysis within the family: insights into evolution.

BMC genomics·2026
Same journal

Comparative genomic analysis of Herbaspirillum strains associated with banana sheath rot reveals potential virulence factors.

BMC genomics·2026
Same journal

Transposable element disruption of a second thyroglobulin-like gene confers Vip3Aa resistance in Helicoverpa armigera.

BMC genomics·2026
Same journal

Molecular ontogeny of Bemisia tabaci life stages reveals miRNA-governed development and egg-stalk support for early embryogenesis.

BMC genomics·2026
Same journal

Genome-wide characterization of the accessible chromatin regions in chickpea.

BMC genomics·2026
See all related articles

Related Experiment Video

Updated: Mar 25, 2026

Infinium Assay for Large-scale SNP Genotyping Applications
13:33

Infinium Assay for Large-scale SNP Genotyping Applications

Published on: November 19, 2013

40.1K

Smokescreen: a targeted genotyping array for addiction research.

James W Baurley1, Christopher K Edlund2, Carissa I Pardamean3

  • 1BioRealm LLC, 6101 W. Centinela Ave., Suite 270, Culver City, CA, 90230-6359, USA. baurley@biorealmresearch.com.

BMC Genomics
|February 28, 2016
PubMed
Summary
This summary is machine-generated.

Researchers developed the Smokescreen genotyping array to advance addiction research. This tool aids in understanding genetic variations linked to smoking and nicotine addiction, improving treatment strategies.

More Related Videos

Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry
05:53

Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry

Published on: June 21, 2018

10.8K
Demonstrating a Multi-drug Resistant Mycobacterium tuberculosis Amplification Microarray
07:35

Demonstrating a Multi-drug Resistant Mycobacterium tuberculosis Amplification Microarray

Published on: April 25, 2014

13.3K

Related Experiment Videos

Last Updated: Mar 25, 2026

Infinium Assay for Large-scale SNP Genotyping Applications
13:33

Infinium Assay for Large-scale SNP Genotyping Applications

Published on: November 19, 2013

40.1K
Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry
05:53

Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry

Published on: June 21, 2018

10.8K
Demonstrating a Multi-drug Resistant Mycobacterium tuberculosis Amplification Microarray
07:35

Demonstrating a Multi-drug Resistant Mycobacterium tuberculosis Amplification Microarray

Published on: April 25, 2014

13.3K

Area of Science:

  • Genetics
  • Pharmacogenomics
  • Addiction Science

Background:

  • Addictive disorders, including tobacco dependence, are chronic relapsing conditions increasing risks for mental and medical comorbidities.
  • Despite progress in tobacco control, optimizing interventions requires understanding genetic variations influencing addiction.
  • The Smokescreen genotyping array was developed to facilitate collaborative research in addiction genetics.

Purpose of the Study:

  • To introduce the Smokescreen genotyping array, a custom tool designed for comprehensive addiction research.
  • To leverage genetic variation data for improved understanding of smoking and nicotine addiction.
  • To provide a standardized platform for high-throughput genetic association analyses in addiction.

Main Methods:

  • The Smokescreen array incorporates 646,247 markers, covering common genome-wide variation and specific addiction-related genes.
  • It includes variation data from major genomic databases (1000 Genomes, NHLBI GO, HapMap) focusing on smoking behavior and nicotine metabolism genes (e.g., CHRNA5-CHRNA3-CHRNB4, CYP2A6-CYP2B6).
  • Pilot genotyping of 636 samples demonstrated high quality control passing rates (97.80%), excellent genotype reproducibility (99.94%), and concordance (99.76%).

Main Results:

  • The array effectively captures common variation across diverse populations (e.g., 90.72% in Europeans) and variation in 1014 addiction genes (e.g., 90.49% in Europeans).
  • Quality control metrics confirmed the array's reliability, with 90.08% of markers passing QC and high genotype reproducibility.
  • Genome-wide association analysis identified significant variants in the CYP2A6 region associated with nicotine metabolite ratio (min p = 9.10E-15).

Conclusions:

  • The Smokescreen genotyping array is a validated and useful tool for addiction research.
  • It enables standardized, high-throughput genome-wide, candidate gene, and pathway-based association studies.
  • This platform facilitates research into addiction, tobacco use, treatment response, and associated diseases.