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

Genetic Analysis Workshop II: summary.

J W MacCluer1, C T Falk, R S Spielman

  • 1Department of Genetics, Southwest Foundation for Biomedical Research, San Antonio, Texas.

Genetic Epidemiology
|January 1, 1984
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

Epidemiology and genetic determinants of progressive deterioration of glycaemia in American Indians: the Strong Heart Family Study.

Diabetologia·2013
Same author

Localization of a major susceptibility locus influencing preterm birth.

Molecular human reproduction·2013
Same author

Impact of DISC1 variation on neuroanatomical and neurocognitive phenotypes.

Molecular psychiatry·2011
Same author

A quantitative trait locus on chromosome 5p influences d-dimer levels in the san antonio family heart study.

International journal of vascular medicine·2010
Same author

Genome-wide linkage scan for plasma high density lipoprotein cholesterol, apolipoprotein A-1 and triglyceride variation among American Indian populations: the Strong Heart Family Study.

Journal of medical genetics·2009
Same author

Determinants of variation in human serum paraoxonase activity.

Heredity·2008
Same journal

Applying Bayesian Multivariable Mendelian Randomisation to Prioritise Candidate Causal Traits From High-Dimensional Data: Illustration From Estimation of the Effect of Maternal Metabolites on Offspring Birthweight.

Genetic epidemiology·2026
Same journal

Individualized Bayesian Inference Identifies Novel Genetic Variants for Parkinson's Disease.

Genetic epidemiology·2026
Same journal

DRIVE v3: Command Line Application for Identity-by-Descent Haplotype Clustering in Large Biobank Scale Data.

Genetic epidemiology·2026
Same journal

Deep Unsupervised Domain Adaptation for Translating Cancer Dependency Maps From Cell Lines to Breast Cancer Tumor Genomics.

Genetic epidemiology·2026
Same journal

Polygenic Risk Scores for Incident Dementia in the Multi-Ethnic Study of Atherosclerosis.

Genetic epidemiology·2026
Same journal

Outcome and Exposure Polygenic Risk Scores Can Help Reduce Information Bias and Selection Bias in Regression Estimates From Biobank Data.

Genetic epidemiology·2026
See all related articles

The second Genetic Analysis Workshop convened experts to analyze simulated genetic pedigrees. Ten research groups compared their findings, offering insights into genetic analysis methods.

Area of Science:

  • Human Genetics
  • Statistical Genetics

Background:

  • The American Society of Human Genetics meetings serve as a platform for advancing genetic research.
  • Genetic analysis workshops facilitate collaborative investigation and methodological comparison.

Purpose of the Study:

  • To summarize the proceedings and findings of the second Genetic Analysis Workshop.
  • To present a comparative overview of diverse analytical approaches applied to simulated genetic data.

Main Methods:

  • Ten independent research groups analyzed three distinct sets of computer-simulated pedigrees.
  • Comparative analysis of methodologies and results from participating investigators.

Main Results:

  • A comprehensive summary and comparison of the ten distinct genetic analyses were presented.

Related Experiment Videos

  • The workshop highlighted variations in analytical strategies and outcomes for simulated genetic data.

    • Conclusions:

    • The workshop successfully convened researchers to evaluate genetic analysis techniques.
    • Comparative analysis of simulated data provides valuable insights into the strengths and limitations of different genetic analysis methods.