Literature DB >> 373427

Sampling considerations in the gathering and analysis of pedigree data.

R C Elston, E Sobel.   

Abstract

A general expression for the likelihood of a set of phenotypic observations on a randomly sampled pedigree, suitable for a wide variety of genetic models, has been previously modified to allow for independent ascertainments via probands. In this paper, further allowance is made for the fact that a pedigree usually contains some individuals who, whatever their phentoype, could never be probands, and we derive the limiting form of the likelihood appropriate for single ascertainment. The case when the sampling frame is ill-defined is discussed, and suggestions made for how to proceed in such a case.

Mesh:

Year:  1979        PMID: 373427      PMCID: PMC1685674     

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


  9 in total

1.  Extensions to pedigree analysis I. Likehood calculations for simple and complex pedigrees.

Authors:  K Lange; R C Elston
Journal:  Hum Hered       Date:  1975       Impact factor: 0.444

2.  General models for segregation analysis.

Authors:  R C Elston; K C Yelverton
Journal:  Am J Hum Genet       Date:  1975-01       Impact factor: 11.025

3.  Genetic tests under incomplete ascertainment.

Authors:  N E MORTON
Journal:  Am J Hum Genet       Date:  1959-03       Impact factor: 11.025

4.  Assumptions for different ascertainment models in human genetics.

Authors:  J S Williams; J Stene
Journal:  Biometrics       Date:  1977-09       Impact factor: 2.571

5.  Ascertainment and age of onset in pedigree analysis.

Authors:  R C Elston
Journal:  Hum Hered       Date:  1973       Impact factor: 0.444

6.  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

7.  Segregation analysis for complex modes of inheritance.

Authors:  R C Elandt-Johnson
Journal:  Am J Hum Genet       Date:  1970-03       Impact factor: 11.025

8.  Efficiency and robustness of pedigree segregation analysis.

Authors:  R C Go; R C Elston; E B Kaplan
Journal:  Am J Hum Genet       Date:  1978-01       Impact factor: 11.025

9.  Study of the genetic transmission of hypercholesterolemia and hypertriglyceridemia in a 195 member kindred.

Authors:  R C Elston; K K Namboodiri; C J Glueck; R Fallat; R Tsang; V Leuba
Journal:  Ann Hum Genet       Date:  1975-07       Impact factor: 1.670

  9 in total
  43 in total

1.  Ascertainment adjustment: where does it take us?

Authors:  P R Burton; L J Palmer; K Jacobs; K J Keen; J M Olson; R C Elston
Journal:  Am J Hum Genet       Date:  2000-11-14       Impact factor: 11.025

2.  Ascertainment-adjusted parameter estimates revisited.

Authors:  Michael P Epstein; Xihong Lin; Michael Boehnke
Journal:  Am J Hum Genet       Date:  2002-03-05       Impact factor: 11.025

3.  A cooperative binomial ascertainment model.

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

4.  Mapping quantitative traits with random and with ascertained sibships.

Authors:  Jie Peng; D Siegmund
Journal:  Proc Natl Acad Sci U S A       Date:  2004-04-14       Impact factor: 11.205

5.  Interactions between genetic and reproductive factors in breast cancer risk in a French family sample.

Authors:  N Andrieu; F Demenais
Journal:  Am J Hum Genet       Date:  1997-09       Impact factor: 11.025

6.  Segregation analysis of 1,546 prostate cancer families in Finland shows recessive inheritance.

Authors:  Sanna Pakkanen; Agnes B Baffoe-Bonnie; Mika P Matikainen; Pasi A Koivisto; Teuvo L J Tammela; Snehal Deshmukh; Liang Ou; Joan E Bailey-Wilson; Johanna Schleutker
Journal:  Hum Genet       Date:  2007-01-03       Impact factor: 4.132

7.  Ascertainment adjustment in genetic studies of ordinal traits.

Authors:  Rui Feng; Heping Zhang
Journal:  Hum Genet       Date:  2006-03-10       Impact factor: 4.132

8.  A segregation analysis of Barrett's esophagus and associated adenocarcinomas.

Authors:  Xiangqing Sun; Robert Elston; Jill Barnholtz-Sloan; Gary Falk; William M Grady; Margaret Kinnard; Sumeet K Mittal; Joseph E Willis; Sanford Markowitz; Wendy Brock; Amitabh Chak
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2010-03-03       Impact factor: 4.254

9.  A pseudolikelihood approach to correcting for ascertainment bias in family studies.

Authors:  D Rabinowitz
Journal:  Am J Hum Genet       Date:  1996-09       Impact factor: 11.025

10.  The problem of ascertainment for linkage analysis.

Authors:  V J Vieland; S E Hodge
Journal:  Am J Hum Genet       Date:  1996-05       Impact factor: 11.025

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