Scripps VIVO scripps research logo

  • Index
  • Log in
  • Home
  • People
  • Organizations
  • Research
  • Events
Search form
As of April 1st VIVO Scientific Profiles will no longer updated for faculty, and the link to VIVO will be removed from the library website. Faculty profile pages will continue to be updated via Interfolio. VIVO will continue being used behind the scenes to update graduate student profiles. Please contact helplib@scripps.edu if you have questions.
How to download citations from VIVO | Alternative profile options

The relative efficiency and power of small-pedigree studies of the heritability of a quantitative trait

Academic Article
uri icon
  • Overview
  • Research
  • Identity
  • Additional Document Info
  • View All
scroll to property group menus

Overview

authors

  • Schork, Nicholas
  • Schork, M. A.

publication date

  • January 1993

journal

  • Human Heredity  Journal

abstract

  • Methods to determine the proportion of variability manifested by a quantitative trait that is attributable to additive genetic effects are important tools for human population and statistical geneticists. Though traditional methods based on parent-offspring and sib-pair correlations have been well researched, they are being steadily supplanted or complemented by more powerful pedigree-based variance-component techniques. In this paper, a theoretical investigation of the relative efficiency and power of small (i.e., < 10 members) variance-component pedigree designs for heritability estimation is undertaken. The information gain in adding sibs and generations to pedigrees is discussed. Sample size guidelines based on theoretical power functions are offered, as are directions for future research.

subject areas

  • Genetics, Medical
  • Humans
  • Pedigree
  • Phenotype
scroll to property group menus

Research

keywords

  • HERITABILITY ESTIMATION
  • QUANTITATIVE GENETICS
  • RELATIVE EFFICIENCY
  • SAMPLE SIZE
  • VARIANCE COMPONENTS
scroll to property group menus

Identity

International Standard Serial Number (ISSN)

  • 0001-5652

Digital Object Identifier (DOI)

  • 10.1159/000154106

PubMed ID

  • 8514319
scroll to property group menus

Additional Document Info

start page

  • 1

end page

  • 11

volume

  • 43

issue

  • 1

©2022 The Scripps Research Institute | Terms of Use | Powered by VIVO

  • About
  • Contact Us
  • Support