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 Experiment Videos

Issues in mapping genes for eating disorders

D B Allison1, M S Faith

  • 1Obesity Research Center, St. Luke's/Roosevelt Hospital Center, New York, NY 10025, USA.

Psychopharmacology Bulletin
|January 1, 1997
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

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

Sort by
Same author

Letter to the editor: Insufficient Reporting of Randomization Procedures and Unexplained Unequal Allocation: A Commentary on "Dairy-Based and Energy-Enriched Berry-Based Snacks Improve or Maintain Nutritional and Functional Status in Older People in Home Care.

The journal of nutrition, health & aging·2019
Same author

The stated conclusions are contradicted by the data, based on inappropriate statistics, and should be corrected: comment on 'intervention for childhood obesity based on parents only or parents and child compared with follow-up alone'.

Pediatric obesity·2018
Same author

GWAS for BMI: a treasure trove of fundamental insights into the genetic basis of obesity.

International journal of obesity (2005)·2018
Same author

Breastfeeding and growth during infancy among offspring of mothers with gestational diabetes mellitus: a prospective cohort study.

Pediatric obesity·2018
Same author

Regression to the mean, apparent data errors and biologically extraordinary results: letter regarding 'changes in telomere length 3-5 years after gastric bypass surgery'.

International journal of obesity (2005)·2017
Same author

Generalized lambda distribution for flexibly testing differences beyond the mean in the distribution of a dependent variable such as body mass index.

International journal of obesity (2005)·2017
Same journal

Catatonia Associated with Psychosis: A Retrospective Study of 164 Inpatients.

Psychopharmacology bulletin·2026
Same journal

Escitalopram-Induced Spasmodic Torticollis in an Early Psychosis Service: A Case Report.

Psychopharmacology bulletin·2026
Same journal

Beyond Exposure: Standardizing Buprenorphine Training in Pain Medicine Fellowship.

Psychopharmacology bulletin·2026
Same journal

Association of CBC-Derived Indices of Inflammation with Response to Glecaprevir/Pibrentasvir for PTSD.

Psychopharmacology bulletin·2026
Same journal

When Care Becomes Dangerous: Patient Assaults Against Physicians.

Psychopharmacology bulletin·2026
Same journal

Efficacy and Safety of Centanafadine in Attention-Deficit/Hyperactivity Disorder: A Systematic Review and Meta-Analysis of Randomized Controlled Trials.

Psychopharmacology bulletin·2026
See all related articles

Genetic and environmental factors influence eating disorders. Identifying specific genes is challenging but feasible with new technologies, though resource-intensive. Researchers can reduce demands using advanced methods.

Area of Science:

  • Behavioral Genetics
  • Psychiatric Genetics

Background:

  • Eating disorders result from complex interactions between genetic and environmental influences.
  • Recent twin studies confirm the significant contribution of both factors to eating disorder development.
  • Technological advancements are increasing the feasibility of identifying specific genes linked to eating disorders.

Purpose of the Study:

  • To explore the feasibility and challenges of identifying specific genes associated with eating disorder risk.
  • To suggest strategies for researchers to mitigate the substantial resource demands of gene mapping for complex traits like eating disorders.

Main Methods:

  • Review of recent advances in molecular and statistical technologies relevant to genetic research.
  • Identification of potential strategies to reduce the resource intensity of gene mapping studies.

Related Experiment Videos

  • Discussion of methods including multivariate analyses, quantitative phenotypes, large sibships, advanced analytics, power considerations, data pooling, and disequilibrium mapping.
  • Main Results:

    • While technological progress has made gene identification more feasible, the undertaking remains resource-intensive.
    • Several strategies can potentially reduce the demand for resources in mapping genes for complex traits.
    • Multivariate analyses, intermediate phenotypes, and data pooling are among the proposed methods.

    Conclusions:

    • Identifying genes for complex traits like eating disorders requires significant resources, despite technological advancements.
    • Strategic methodological approaches are crucial for efficient and feasible genetic research in eating disorders.
    • Future research should consider these resource-saving strategies to advance the field.