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

Haplotype block structures show significant variation among populations.

Nianjun Liu1, Sarah L Sawyer, Namita Mukherjee

  • 1Department of Epidemiology and Public Health, Yale University School of Medicine, New Haven, Connecticut 06510, USA.

Genetic Epidemiology
|September 25, 2004
PubMed
Summary

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

Microhaplotypes in forensic genetics: From exploration to application in degraded DNA specimens.

Forensic science international. Genetics·2025
Same author

Publisher Correction: Genomic reanalysis of a pan-European rare-disease resource yields new diagnoses.

Nature medicine·2025
Same author

Harnessing artificial intelligence to transform Alzheimer's disease research.

Nature medicine·2025
Same author

Genomic reanalysis of a pan-European rare-disease resource yields new diagnoses.

Nature medicine·2025
Same author

CYP2C gene polymorphisms in North African populations.

Molecular biology reports·2024
Same author

An interconnected data infrastructure to support large-scale rare disease research.

GigaScience·2024

New similarity measures allow objective comparison of human genome haplotype structures across populations. Haplotype block patterns vary globally, suggesting no single pattern exists for all human populations.

Area of Science:

  • Population Genetics
  • Human Genomics
  • Bioinformatics

Background:

  • Haplotypes exhibit block-like structures in the human genome.
  • Existing methods for haplotype block partitioning and tagging SNP identification lack robust cross-population comparison metrics.
  • Quantifying population similarity in haplotype structures is currently inadequate.

Purpose of the Study:

  • To propose novel similarity measures for comparing haplotype structures across diverse human populations.
  • To enable objective comparison of haplotype block boundaries and tagging SNP sets between populations.
  • To facilitate comparison of different block partitioning and tagging SNP identification methods.

Main Methods:

  • Development of new quantitative measures for haplotype structure similarity.

Related Experiment Videos

  • Application of these measures to chromosome 10 data from 16 worldwide populations.
  • Analysis of haplotype block boundaries, tagging SNP sets, and consistency of block-finding algorithms.
  • Main Results:

    • Haplotype block boundaries significantly vary across populations; European and some African populations share similarities, while others diverge.
    • Tagging SNP sets correlate with haplotype block structure similarity, differing when block structures are dissimilar.
    • Most tested block-finding methods show consistent results, though variations in consistency were observed.

    Conclusions:

    • The proposed similarity measures provide objective tools for cross-population haplotype analysis.
    • Haplotype block structures and associated tagging SNPs are population-specific, challenging the notion of a universal human haplotype pattern.
    • Significant regional and population-specific variations in haplotype patterns exist, even within the studied chromosome 10 region.