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On the estimation of parental age effects on mutation

On the estimation of parental age effects on mutation BY 0. MAYO,* J. L. MURDOCHT AND T. W. HANCOCK* * Biometry Section, Waite Agricultural Research Institute, University of Adelaide, Adelaide, 8outh Australia 5064 t Lorna Linda University, School of Medicine, Lorna Linda, California 92354, U.S.A. For many years, it has been accepted that sporadic cases of certain dominant or semi-dominant mutations are associated with an increased paternal age, but not with increased maternal age or birth rank. However, because maternal age, paternal age, and birth rank are so highly correlated with one another, it has been very difficult to separate the effects, and to produce unequivocal evidence for any particular one being more important. All of the methods in use have certain flaws or difficulties. The best method available, that of Smith (1972), requires that one know population values for the regression of maternal age on birth rank, paternal age on birth rank, maternal age on paternal age, and vice versa (the p matrix below). Smith’s method allows not only the detection but also the estimation of the various effects, but as it requires these population data, it may often not be applicable. It does not seem to have been noticed that a simple discriminant function applied http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Annals of Human Genetics Wiley

On the estimation of parental age effects on mutation

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References (9)

Publisher
Wiley
Copyright
Copyright © 1976 Wiley Subscription Services, Inc., A Wiley Company
ISSN
0003-4800
eISSN
1469-1809
DOI
10.1111/j.1469-1809.1976.tb00147.x
Publisher site
See Article on Publisher Site

Abstract

BY 0. MAYO,* J. L. MURDOCHT AND T. W. HANCOCK* * Biometry Section, Waite Agricultural Research Institute, University of Adelaide, Adelaide, 8outh Australia 5064 t Lorna Linda University, School of Medicine, Lorna Linda, California 92354, U.S.A. For many years, it has been accepted that sporadic cases of certain dominant or semi-dominant mutations are associated with an increased paternal age, but not with increased maternal age or birth rank. However, because maternal age, paternal age, and birth rank are so highly correlated with one another, it has been very difficult to separate the effects, and to produce unequivocal evidence for any particular one being more important. All of the methods in use have certain flaws or difficulties. The best method available, that of Smith (1972), requires that one know population values for the regression of maternal age on birth rank, paternal age on birth rank, maternal age on paternal age, and vice versa (the p matrix below). Smith’s method allows not only the detection but also the estimation of the various effects, but as it requires these population data, it may often not be applicable. It does not seem to have been noticed that a simple discriminant function applied

Journal

Annals of Human GeneticsWiley

Published: May 1, 1976

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