Literature DB >> 2565716

Partitioned twin analysis: a power study.

W E Nance, M C Neale.   

Abstract

Individual differences in the human genome may now be measured with molecular genetic techniques. Therefore, dizygotic (DZ) twins may be classified as sharing two, one, or zero "genes" identical by descent for any measured polymorphism. As a result, we may partition genetic variation into two sources: (i) genotypes at and closely linked to particular marker loci identified with restriction fragment length polymorphisms (RFLPs) and (ii) other genetic variation. The power of the classical twin study to reject false models lacking either a marker effect or a residual genetic effect is explored. Additivity of genetic effects at or near the locus and of the residual genetic variation as well as random environmental variation are assumed. Results indicate that statistical rejection of models could be achieved with sample sizes which are within the range of several current twin registers. A design including monozygotic (MZ) twins is compared with one consisting of only DZ twins. MZ twins add considerable power for the detection of residual genetic variation but provide no information to resolve genetic marker effects.

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Year:  1989        PMID: 2565716     DOI: 10.1007/BF01065889

Source DB:  PubMed          Journal:  Behav Genet        ISSN: 0001-8244            Impact factor:   2.805


  4 in total

1.  Testing structural equation models for twin data using LISREL.

Authors:  A C Heath; M C Neale; J K Hewitt; L J Eaves; D W Fulker
Journal:  Behav Genet       Date:  1989-01       Impact factor: 2.805

2.  The power of the classical twin study.

Authors:  N G Martin; L J Eaves; M J Kearsey; P Davies
Journal:  Heredity (Edinb)       Date:  1978-02       Impact factor: 3.821

3.  Analysis of family resemblance. 3. Complex segregation of quantitative traits.

Authors:  N E Morton; C J MacLean
Journal:  Am J Hum Genet       Date:  1974-07       Impact factor: 11.025

Review 4.  The relevance of twin studies to cardiovascular research.

Authors:  W E Nance
Journal:  Prog Clin Biol Res       Date:  1984
  4 in total
  3 in total

1.  Linkage analysis of quantitative traits: increased power by using selected samples.

Authors:  G Carey; J Williamson
Journal:  Am J Hum Genet       Date:  1991-10       Impact factor: 11.025

2.  An improved multipoint sib-pair analysis of quantitative traits.

Authors:  D W Fulker; S S Cherny
Journal:  Behav Genet       Date:  1996-09       Impact factor: 2.805

3.  Notes on Three Decades of Methodology Workshops.

Authors:  Hermine H Maes
Journal:  Behav Genet       Date:  2021-02-14       Impact factor: 2.805

  3 in total

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