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

Imprinting detection by extending a regression-based QTL analysis method.

Olga Y Gorlova1, Lei Lei, Dakai Zhu

  • 1Department of Epidemiology, MD Anderson Cancer Center, University of Texas, Unit 1340, 1155 Pressler Street, Houston, TX 77030, USA. oygorlov@mdanderson.org

Human Genetics
|June 15, 2007
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

Comparison of pathway and gene-level models for cancer prognosis prediction.

BMC bioinformatics·2020
Same author

Novel Genetic Variants of <i>ALG6</i> and <i>GALNTL4</i> of the Glycosylation Pathway Predict Cutaneous Melanoma-Specific Survival.

Cancers·2020
Same author

Immune-mediated genetic pathways resulting in pulmonary function impairment increase lung cancer susceptibility.

Nature communications·2020
Same author

Whole Exome Sequencing of Highly Aggregated Lung Cancer Families Reveals Linked Loci for Increased Cancer Risk on Chromosomes 12q, 7p, and 4q.

Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology·2019
Same author

Clinical relevance of TP53 hotspot mutations in high-grade serous ovarian cancers.

British journal of cancer·2019
Same author

Genome-Wide Profiling of Acquired Uniparental Disomy Reveals Prognostic Factors in Head and Neck Squamous Cell Carcinoma.

Neoplasia (New York, N.Y.)·2019

This study introduces a new method for quantitative trait linkage analysis that accounts for parent-of-origin effects, improving power for detecting imprinting. The method successfully identified maternal imprinting for several body size traits in human families.

Area of Science:

  • Genetics
  • Statistical Genetics
  • Bioinformatics

Background:

  • Quantitative trait linkage analysis is crucial for understanding genetic contributions to complex traits.
  • Parent-of-origin effects, such as imprinting, can influence inheritance patterns but are often challenging to detect.
  • Existing methods may not fully capture the nuances of parent-of-origin effects in linkage analysis.

Purpose of the Study:

  • To extend regression-based quantitative trait linkage analysis to incorporate parent-of-origin effects.
  • To develop a robust statistical test for imprinting within the linkage analysis framework.
  • To evaluate the performance and applicability of the novel method using simulations and real-world genetic data.

Main Methods:

  • Regression analysis of total, paternal, and maternal identity-by-descent (IBD) sharing.

Related Experiment Videos

  • Development of a specific statistical test for imprinting by comparing paternal and maternal regression coefficients.
  • Application of a permutation algorithm to ensure accurate type I error rates for imprinting tests.
  • Utilized multipoint IBD data from 255 nuclear families for 6 body size traits and 23 loci on chromosome 7.
  • Main Results:

    • The extended method demonstrated equal or superior power compared to existing approaches for detecting parent-of-origin effects in quantitative trait linkage analysis.
    • Missing parental genotypes were found to inflate linkage test error rates and reduce imprinting test power.
    • The method maintained good statistical performance even with low heritability of major genes.
    • Evidence of maternal imprinting was detected for body mass index, bioelectrical impedance analysis, waist circumference, and leptin concentration between 99.67-111.26 Mb on chromosome 7.

    Conclusions:

    • The developed regression-based method effectively incorporates parent-of-origin effects into quantitative trait linkage analysis.
    • The method provides a powerful tool for detecting imprinting, a critical but often overlooked genetic phenomenon.
    • The findings suggest significant maternal imprinting effects on key body size-related traits in the studied population.