Literature DB >> 911972

Assumptions for different ascertainment models in human genetics.

J S Williams, J Stene.   

Abstract

Some aspects of sampling family data in human genetics are discussed. Two well-investigated ascertainment models, the complete ascertainment model and the single ascertainment model, which have been derived using restrictive sampling assumptions, are shown to hold under four more general sets of assumptions.

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Year:  1977        PMID： 911972

Source DB:  PubMed          Journal:  Biometrics        ISSN： 0006-341X            Impact factor:   2.571


  11 in total

1.  Estimation of sibling recurrence-risk ratio under single ascertainment in two-child families.

Authors:  P Wickramaratne; S Hodge
Journal:  Am J Hum Genet       Date:  2001-03       Impact factor: 11.025

2.  A cooperative binomial ascertainment model.

Authors:  E Kh Ginsburg; T I Axenovich
Journal:  Am J Hum Genet       Date:  1992-11       Impact factor: 11.025

3.  The essence of single ascertainment.

Authors:  S E Hodge; V J Vieland
Journal:  Genetics       Date:  1996-11       Impact factor: 4.562

4.  Risk for short arm 10 trisomy. A segregation analysis of eleven families with different translocations.

Authors:  J Stene; S Stengel-Rutkowski
Journal:  Hum Genet       Date:  1977-11-02       Impact factor: 4.132

5.  The effect of proband designation on segregation analysis.

Authors:  D A Greenberg
Journal:  Am J Hum Genet       Date:  1986-09       Impact factor: 11.025

6.  Sampling considerations in the gathering and analysis of pedigree data.

Authors:  R C Elston; E Sobel
Journal:  Am J Hum Genet       Date:  1979-01       Impact factor: 11.025

7.  Inherent intractability of the ascertainment problem for pedigree data: a general likelihood framework.

Authors:  V J Vieland; S E Hodge
Journal:  Am J Hum Genet       Date:  1995-01       Impact factor: 11.025

8.  Aspects of parameter estimation in ascertainment sampling schemes.

Authors:  W J Ewens
Journal:  Am J Hum Genet       Date:  1982-11       Impact factor: 11.025

9.  Statistical evaluation of age-at-onset anticipation: a new test and evaluation of its behavior in realistic applications.

Authors:  V J Vieland; J Huang
Journal:  Am J Hum Genet       Date:  1998-05       Impact factor: 11.025

10.  Genome-wide analysis in multiple-case families: assessing the relationship between triglyceride and methylation.

Authors:  Angga M Fuady; Renaud L M Tissier; Jeanine J Houwing-Duistermaat
Journal:  BMC Proc       Date:  2018-09-17
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