Testing Twin Means and Estimating Genetic Variance. Basic Methodology for the Analysis of Quantitative Twin Data

Content Provider	Scilit
Author	Christian, Joe C.
Copyright Year	1979
Description	Twin methodology for the analysis of continuously distributed traits is presented as a guideline for initial steps in the analysis of twin data. Tests for heterogeneity of twin means and variances are reviewed along with estimates of genetic variance. Analysis of twin data appears on the surface to be a rather simple task, but investigators may well be confused by the wealth of choices available for hypothesis testing. This paper is designed to help the less experienced investigator, with perhaps a modest amount of data, begin analysis with maximum attention to testing all testable assumptions of the twin model, and using recent examples of applications of the methods.
Related Links	https://www.cambridge.org/core/services/aop-cambridge-core/content/view/6A1FAE8ACCCA19E709AF17AC892E55CD/S0001566000009314a.pdf/div-class-title-testing-twin-means-and-estimating-genetic-variance-span-class-italic-basic-methodology-for-the-analysis-of-quantitative-twin-data-span-div.pdf
Ending Page	40
Page Count	6
Starting Page	35
ISSN	00015660
e-ISSN	20596324
DOI	10.1017/s0001566000009314
Journal	Acta geneticae medicae et gemellologiae: twin research
Issue Number	1
Volume Number	28
Language	English
Publisher	Cambridge University Press (CUP)
Publisher Date	1979-01-01
Access Restriction	Open
Subject Keyword	twin research Twin Data Analysis Genetic Variance Associations with Twin Type Twin Placentation Environmental Covariance Heritability Estimates
Content Type	Text
Resource Type	Article
Subject	Genetics (clinical)