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

Cohorts, overlapping generations and consanguinity estimates.

P W Leslie

    Annals of Human Biology
    |May 1, 1983
    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

    A comparison of health complaints of settled and nomadic Turkana men.

    Medical anthropology quarterly·2001
    Same author

    Effect on infant mortality of iodination of irrigation water in a severely iodine-deficient area of China.

    Lancet (London, England)·1997
    Same author

    Evaluation of reproductive function in Turkana women with enzyme immunoassays of urinary hormones in the field.

    Human biology·1996
    Same author

    Reproductive function in nomadic and settled women of Turkana, Kenya.

    Annals of the New York Academy of Sciences·1994
    Same author

    Growth of nomadic and settled Turkana infants of northwest Kenya.

    American journal of physical anthropology·1993
    Same author

    Pregnancy loss in Nomadic and settled women in Turkana, Kenya: a prospective study.

    Human biology·1993
    Same journal

    A comparison of interpupillary distances between Turkish and Azerbaijani populations.

    Annals of human biology·2026
    Same journal

    Association between CHRNA5 polymorphisms and Parkinson's disease in Northern Chinese Han population: a case-control study.

    Annals of human biology·2026
    Same journal

    Nanopore sequencing technology in forensic science: status quo and tendency.

    Annals of human biology·2026
    Same journal

    Body composition phenotyping of obesity in children aged 6-18 years: multi-strategy clustering and interpretable machine learning.

    Annals of human biology·2026
    Same journal

    Associations between growth, maturation and non-contact injury risk in Scottish male academy football: a prospective multi-academy study.

    Annals of human biology·2026
    Same journal

    Observation of the therapeutic effect of flunarizine capsules combined with the Epley manoeuvre in the treatment of benign paroxysmal positional vertigo.

    Annals of human biology·2026
    See all related articles

    Estimating random mating expectations in human population genetics can be biased by discrete generation assumptions. This study suggests a method to mitigate bias, finding it generally negligible in consanguinity estimates.

    Area of Science:

    • Human Population Genetics
    • Quantitative Genetics
    • Demography

    Background:

    • Estimating genetic effects in human populations often requires understanding random mating expectations.
    • Current methods frequently model subpopulations as discrete generations, which may not reflect real-world mating dynamics.
    • Non-random mating, influenced by cultural or geographic factors, necessitates accurate baseline expectations.

    Purpose of the Study:

    • To propose a method for calculating random mating expectations that accounts for continuous mating pools.
    • To assess the potential bias introduced by the discrete generation cohort approach in consanguinity estimation.
    • To evaluate the applicability of the proposed method using data from an isolated Caribbean population.

    Main Methods:

    Related Experiment Videos

  • Developed a revised approach to calculate expected genetic contributions under random mating, considering continuous mate availability.
  • Applied the revised method and the traditional cohort approach to demographic and mating data from a Caribbean population.
  • Compared estimates of expected consanguinity derived from both methods to quantify discrepancies.

    • Main Results:

    • The study found that treating cohorts as discrete generations introduces negligible bias in most consanguinity estimates.
    • Application to Caribbean population data supported the general robustness of the discrete generation assumption.
    • However, potential for significant bias was noted in specific, less common demographic scenarios.

    Conclusions:

    • The discrete generation cohort approach is generally adequate for estimating random mating expectations in human population genetics.
    • The proposed method offers a more realistic model but yields similar results in typical scenarios.
    • Further investigation into specific demographic circumstances where bias may be substantial is warranted.