Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

Advertisement

Heredity
  • View all journals
  • Search
  • Log in
  • Content Explore content
  • About the journal
  • Publish with us
  • Sign up for alerts
  • RSS feed
  1. nature
  2. heredity
  3. original article
  4. article
The estimation of the genetic correlation: the use of the jackknife
Download PDF
Download PDF
  • Original Article
  • Published: 01 November 1994

The estimation of the genetic correlation: the use of the jackknife

  • Derek A Roff1 &
  • Richard Preziosi1 

Heredity volume 73, pages 544–548 (1994)Cite this article

  • 4076 Accesses

  • 106 Citations

  • Metrics details

Abstract

To understand fully the process of evolution of quantitative traits it is necessary to be able to estimate the genetic correlation and its associated standard error. At present, estimation methods are available only for relatively simple designs. An alternative procedure is to use the correlation of family means as an estimate of the genetic correlation. We evaluate the utility of the family mean method and that of the more general procedure, the jackknife. The family mean method is shown to be potentially very biased unless family sizes are very large (≈ 20), and therefore its general utility is questionable. However, the jackknife method does provide valid estimates of both the correlations (phenotypic and genetic) and their standard errors.

Similar content being viewed by others

Estimation of Jacquard’s genetic identity coefficients with bi-allelic variants by constrained least-squares

Article Open access 07 November 2024

Capturing additional genetic risk from family history for improved polygenic risk prediction

Article Open access 16 June 2022

Computationally efficient methods for estimating phenome—wide coheritability of multi-type phenotypes using biobank data

Article Open access 13 October 2025

Article PDF

References

  • Becker, W A. 1985. Manual of Quantitative Genetics. McNaughton and Gunn, Ann Arbor, MI.

    Google Scholar 

  • Falconer, D S. 1989. Introduction to Quantitative Genetics, 3rd edn. Longman, New York.

    Google Scholar 

  • Grossman, M, and Norton, H W. 1974. Simplification of the sampling variance of the correlation coefficients. Theor Appl Genet, 44, 332.

    Article  CAS  Google Scholar 

  • Hammond, K, and Nicholas, F W. 1972. The sampling variance of the correlation coefficients estimated from two-fold nested and offspring-parent regression analysis. Theor Appl Genet, 42, 97–100.

    Article  CAS  Google Scholar 

  • Klein, T W, Defries, J C, and Finkbeiner, C T. 1973. Heritability and genetic correlation: standard error of estimates and sample size. Behav Genet, 3, 355–364.

    Article  CAS  Google Scholar 

  • Lande, R, and Arnold, S J. 1983. The measurement of selection on correlated characters. Evolution, 37, 1210–1226.

    Article  Google Scholar 

  • Miller, R G. 1974. The jackknife — a review. Biometrika, 61, 1–15.

    Google Scholar 

  • Mueller, L D. 1979. A comparison of two methods for making statistical inferences on Nei's measure of genetic distance. Biometrics, 35, 757–763.

    Article  CAS  Google Scholar 

  • Olausson, A, and Ronningen, K. 1975. Estimation of genetic parameters for threshold characters. Acta Agr Scand, 25, 201–208.

    Article  Google Scholar 

  • Potvin, C, and Roff, D A. 1993. Distribution-free and robust statistical methods: viable alternatives to parametric statistics? Ecology, 74, 1617–1628.

    Article  Google Scholar 

  • Reeve, E C R. 1955. The variance of the genetic correlation coefficient. Biometrics, 11, 357–374.

    Article  Google Scholar 

  • Robertson, A. 1959. The sampling variance of the genetic correlation coefficient. Biometrics, 15, 469–485.

    Article  Google Scholar 

  • Robertson, A. 1960. Experimental design on the measurement of heritabilities and genetic correlations. In: Kemp-thorne, O. (ed.) Biometrical Genetics, pp. 101–106. Pergamon Press, Oxford.

    Google Scholar 

  • Ronningen, T. 1974. Monte Carlo simulation of statistical-biological models which are of interest in animal breeding. Acta Agr Scand, 24, 135–142.

    Article  Google Scholar 

  • Simons, A M, and Roff, D A. 1994. The effect of environmental variability on the heritabilities of traits of a field cricket. Evolution (in press).

  • Sokal, R R, and Rohlf, F J. 1981. Biometry. W. H. Freeman, San Francisco.

    Google Scholar 

  • Van Vleck, L D. 1968. Selection bias in estimation of the genetic correlation. Biometrics, 24, 951–962.

    Article  CAS  Google Scholar 

  • Van Vleck, L D, and Henderson, C R. 1961. Empirical sampling estimates of genetic correlations. Biometrics, 17, 359–371.

    Article  Google Scholar 

  • Via, S. 1984. The quantitative genetics of polyphagy in an insect herbivore. II. Genetic correlations in larval performance within and among host plants. Evolution, 38, 896–905.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Biology, McGill University, 1205 Dr Penfield Ave., Montréal, H3A 1B1, Québec, Canada

    Derek A Roff & Richard Preziosi

Authors
  1. Derek A Roff
    View author publications

    Search author on:PubMed Google Scholar

  2. Richard Preziosi
    View author publications

    Search author on:PubMed Google Scholar

Rights and permissions

Reprints and permissions

About this article

Cite this article

Roff, D., Preziosi, R. The estimation of the genetic correlation: the use of the jackknife. Heredity 73, 544–548 (1994). https://doi.org/10.1038/hdy.1994.153

Download citation

  • Received: 21 March 1994

  • Issue date: 01 November 1994

  • DOI: https://doi.org/10.1038/hdy.1994.153

Share this article

Anyone you share the following link with will be able to read this content:

Sorry, a shareable link is not currently available for this article.

Provided by the Springer Nature SharedIt content-sharing initiative

Keywords

  • bias
  • confidence limits
  • genetic correlation
  • heritability
  • jackknife
  • phenotypic correlation

This article is cited by

  • Genetic variation in compensatory feeding for dietary dilution in a generalist caterpillar

    • Kwang Pum Lee

    Scientific Reports (2017)

  • Few genetic and environmental correlations between life history and stress resistance traits affect adaptation to fluctuating thermal regimes

    • T Manenti
    • J G Sørensen
    • V Loeschcke

    Heredity (2016)

  • Growth variations and heritabilities of teak CSO-derived families and provenances planted in two humid tropical sites

    • Doreen K. S. Goh
    • Roberto Bacilieri
    • Olivier Monteuuis

    Tree Genetics & Genomes (2013)

  • Genetic architecture of fruit quality traits in Malus x domestica (Borkh.) compared between own-rooted seedlings and vegetative propagules on ‘M. 9’ rootstock

    • Satish Kumar
    • Richard Volz
    • Rosemary Weskett

    Tree Genetics & Genomes (2011)

  • Inbred decorated crickets exhibit higher measures of macroparasitic immunity than outbred individuals

    • S N Gershman
    • C A Barnett
    • S K Sakaluk

    Heredity (2010)

Download PDF

Advertisement

Explore content

  • Research articles
  • Reviews & Analysis
  • News & Comment
  • Podcasts
  • Current issue
  • Collections
  • Follow us on X
  • Sign up for alerts
  • RSS feed

About the journal

  • Journal Information
  • Open access publishing
  • About the Editors
  • Contact
  • About the Partner
  • For Advertisers
  • Subscribe

Publish with us

  • For Authors & Referees
  • Language editing services
  • Open access funding
  • Submit manuscript

Search

Advanced search

Quick links

  • Explore articles by subject
  • Find a job
  • Guide to authors
  • Editorial policies

Heredity (Heredity)

ISSN 1365-2540 (online)

ISSN 0018-067X (print)

nature.com sitemap

About Nature Portfolio

  • About us
  • Press releases
  • Press office
  • Contact us

Discover content

  • Journals A-Z
  • Articles by subject
  • protocols.io
  • Nature Index

Publishing policies

  • Nature portfolio policies
  • Open access

Author & Researcher services

  • Reprints & permissions
  • Research data
  • Language editing
  • Scientific editing
  • Nature Masterclasses
  • Research Solutions

Libraries & institutions

  • Librarian service & tools
  • Librarian portal
  • Open research
  • Recommend to library

Advertising & partnerships

  • Advertising
  • Partnerships & Services
  • Media kits
  • Branded content

Professional development

  • Nature Awards
  • Nature Careers
  • Nature Conferences

Regional websites

  • Nature Africa
  • Nature China
  • Nature India
  • Nature Japan
  • Nature Middle East
  • Privacy Policy
  • Use of cookies
  • Legal notice
  • Accessibility statement
  • Terms & Conditions
  • Your US state privacy rights
Springer Nature

© 2026 Springer Nature Limited