Literature DB >> 3414688

Comparison of sequential and fixed-structure sampling of pedigrees in complex segregation analysis of a quantitative trait.

M Boehnke1, M R Young, P P Moll.   

Abstract

In designing a study to demonstrate the existence of a major locus for a quantitative trait, an investigator chooses a sampling rule to ascertain pedigrees. The choice of sampling rule can significantly affect the study's power. Here, we compare two types of sampling rules for family studies: fixed-structure rules, in which the same set of relatives are sampled for each proband, and sequential rules, in which the relative or relatives to be sampled next may depend on the trait values of the individuals already observed. We compare fixed-structure and sequential sampling in the setting of extended pedigrees, a quantitative trait, and the genetic mixed model. Using computer simulation, we show that sequential sampling can increase power to detect segregation at a dominant major locus by over 60% in comparison with fixed-structure sampling. Just as important, this substantially increased power is obtained with an easily implemented sampling rule, one that might reasonably be employed in a family study of a quantitative trait.

Mesh:

Year:  1988        PMID: 3414688      PMCID: PMC1715370     

Source DB:  PubMed          Journal:  Am J Hum Genet        ISSN: 0002-9297            Impact factor:   11.025


  9 in total

1.  Extensions to pedigree analysis. III. Variance components by the scoring method.

Authors:  K Lange; J Westlake; M A Spence
Journal:  Ann Hum Genet       Date:  1976-05       Impact factor: 1.670

2.  Ascertainment in the sequential sampling of pedigrees.

Authors:  C Cannings; E A Thompson
Journal:  Clin Genet       Date:  1977-10       Impact factor: 4.438

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

4.  A general model for the genetic analysis of pedigree data.

Authors:  R C Elston; J Stewart
Journal:  Hum Hered       Date:  1971       Impact factor: 0.444

5.  Ascertainment and goodness of fit of variance component models for pedigree data.

Authors:  M Boehnke; K Lange
Journal:  Prog Clin Biol Res       Date:  1984

6.  Comparisons of different sampling designs for the determination of genetic transmission mechanisms in quantitative traits.

Authors:  T L Burns; P P Moll; M A Schork
Journal:  Am J Hum Genet       Date:  1984-09       Impact factor: 11.025

7.  Extensions to multivariate normal models for pedigree analysis.

Authors:  J L Hopper; J D Mathews
Journal:  Ann Hum Genet       Date:  1982-10       Impact factor: 1.670

8.  A mixed-model likelihood approximation on large pedigrees.

Authors:  S J Hasstedt
Journal:  Comput Biomed Res       Date:  1982-06

9.  Optimal sampling for pedigree analysis: relatives of affected probands.

Authors:  E A Thompson
Journal:  Am J Hum Genet       Date:  1981-11       Impact factor: 11.025

  9 in total
  8 in total

1.  Sample-size guidelines for linkage analysis of a dominant locus for a quantitative trait by the method of lod scores.

Authors:  M Boehnke
Journal:  Am J Hum Genet       Date:  1990-08       Impact factor: 11.025

2.  Selecting pedigrees for linkage analysis of a quantitative trait: the expected number of informative meioses.

Authors:  M Boehnke; K H Omoto; J M Arduino
Journal:  Am J Hum Genet       Date:  1990-03       Impact factor: 11.025

3.  Sequential recruitment of study participants may inflate genetic heritability estimates.

Authors:  Damia Noce; Martin Gögele; Christine Schwienbacher; Giulia Caprioli; Alessandro De Grandi; Luisa Foco; Stefan Platzgummer; Peter P Pramstaller; Cristian Pattaro
Journal:  Hum Genet       Date:  2017-04-03       Impact factor: 4.132

4.  Identifying pedigrees segregating at a major locus for a quantitative trait: an efficient strategy for linkage analysis.

Authors:  M Boehnke; P P Moll
Journal:  Am J Hum Genet       Date:  1989-02       Impact factor: 11.025

5.  Testing separate families of segregation hypotheses: bootstrap methods.

Authors:  N Schork; M A Schork
Journal:  Am J Hum Genet       Date:  1989-11       Impact factor: 11.025

6.  Efficient strategies for genomic searching using the affected-pedigree-member method of linkage analysis.

Authors:  D L Brown; M B Gorin; D E Weeks
Journal:  Am J Hum Genet       Date:  1994-03       Impact factor: 11.025

7.  Fine-structure genetic mapping of human chromosomes using the polymerase chain reaction on single sperm: experimental design considerations.

Authors:  M Boehnke; N Arnheim; H Li; F S Collins
Journal:  Am J Hum Genet       Date:  1989-07       Impact factor: 11.025

8.  Same or different? Insights into the etiology of phonological awareness and rapid naming.

Authors:  Adam J Naples; Joseph T Chang; Leonard Katz; Elena L Grigorenko
Journal:  Biol Psychol       Date:  2008-10-21       Impact factor: 3.251

  8 in total

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