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Cited by 509

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Extensions to multivariate normal models for pedigree analysis

HOPPER, J. L., MATHEWS, J. D.·1982·Annals of Human Genetics

Abstract

Summary: Lange, Westlake & Spence (1976) used the assumption of multivariate normality to apply a likelihood method to the analysis of quantitative traits measured over pedigrees. We now introduce a test of the assumption of multivariate normality and methods for the detection of outlying families and outlying individuals. We also introduce a method for the estimation of effects of measured genetic markers as variance components, a flexible parameterization to estimate effects of shared family environment, and a method to allow for the ascertainment of pedigrees through probands. These innovations have been applied using numerical methods for maximization of the likelihood. Simulation studies and available theory suggest that the likelihood ratio criterion used in significance testing follows the expected asymptotic distribution with sample sizes encountered in typical applications.

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Crossref · 10.1111/j.1469-1809.1982.tb01588.x

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Metadata

Authors
HOPPER, J. L., & MATHEWS, J. D.
Venue
Annals of Human Genetics
Publisher
Wiley
Published
1982-10
Volume
46
Issue
4
Pages
373-383
ISSN
  • 0003-4800 (ISSN-L)
  • 1469-1809
OpenAlex
W2062318434
Cited by
509
References
1
FWCI
5.02
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Extensions to multivariate normal models for pedigree analysis. https://app.cochat.ai/papers/10.1111/j.1469-1809.1982.tb01588.x
The paper
HOPPER, J. L., & MATHEWS, J. D. (1982). Extensions to multivariate normal models for pedigree analysis. Annals of Human Genetics. https://doi.org/10.1111/j.1469-1809.1982.tb01588.x

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.