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An evaluation of three statistics of structured exploratory data analysis.

Abstract：

:The power of structured exploratory data analysis (SEDA) to discriminate among major genic, polygenic, and nongenetic determination of phenotypes was investigated using computer simulation. Three classes of SEDA indices (the major gene index, the offspring between parents function, and the midparent-child correlation coefficient) were evaluated. These three statistics, in combination, were reasonably sensitive in detecting the presence of a major locus and in discriminating between phenotypes with genetic effects and those with no genetic component. However, they were unable to discriminate between major genic and polygenically determined phenotypic models.

journal_name

Am J Hum Genet

journal_title

American journal of human genetics

authors

Kammerer CM,MacCluer JW,Bridges JM

subject

Has Abstract

pub_date

1984-01-01 00:00:00

pages

187-96

issue

1

eissn

0002-9297

issn

1537-6605

journal_volume

36

pub_type

杂志文章

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