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Parameter estimation in ascertainment adjustment in complex diseases

✍ Scribed by L. Nie

Publisher
John Wiley and Sons
Year
2003
Tongue
English
Weight
73 KB
Volume
25
Category
Article
ISSN
0741-0395

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Ascertainment adjustment in complex dise
Ascertainment adjustment in complex diseases
✍ David V. Glidden; Kung-Yee Liang 📂 Article 📅 2002 🏛 John Wiley and Sons 🌐 English ⚖ 134 KB

## Abstract Genetic studies of complex diseases must confront two statistically difficult issues simultaneously. First, in many settings, to minimize the number of individuals to be genotyped, families enriched for disease must be oversampled. Also, statistical models in family studies should allow

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Comment on “Ascertainment adjustment in complex diseases”
✍ Michael P. Epstein 📂 Article 📅 2002 🏛 John Wiley and Sons 🌐 English ⚖ 73 KB

Glidden and Liang [2002] have raised important issues regarding ascertainment adjustment in the framework of variance-components modeling for complex genetic traits. While the structure of the authors' logistic variance-component model is simple, ascertainment issues arising with this model are like

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✍ David V. Glidden 📂 Article 📅 2002 🏛 John Wiley and Sons 🌐 English ⚖ 47 KB

The discussions of and add considerable insight to the topic of ascertainment adjustment in genetic variance component models. The authors are in agreement on a broad range of issues, i.e., that the problem of ascertainment bias in the presence of unmeasured heterogeneity is compelling and more co

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Comment on “Ascertainment adjustment in complex diseases”
✍ Paul R. Burton 📂 Article 📅 2002 🏛 John Wiley and Sons 🌐 English ⚖ 66 KB

The complex diseases continue to provide new challenges for genetic epidemiology. In the current edition of Genetic Epidemiology, Glidden and Liang [2002] consider the effect of latent heterogeneity in disease risk on ascertainmentadjusted parameter estimates, particularly in variance components mod

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## Abstract Nonrandom ascertainment is commonly used in genetic studies of rare diseases, since this design is often more convenient than the random‐sampling design. When there is an underlying latent heterogeneity, Epstein et al. ([2002] Am. J. Hum. Genet. 70:886–895) showed that it is possible to

Estimating haplotype relative risks in c
Estimating haplotype relative risks in complex disease from unphased SNPs data in families using a likelihood adjusted for ascertainment
✍ J. Carayol; A. Philippi; F. Tores 📂 Article 📅 2006 🏛 John Wiley and Sons 🌐 English ⚖ 159 KB 👁 1 views

## Abstract The understanding of complex diseases and insights to improve their medical management may be achieved through the deduction of how specific haplotypes may play a joint effect to change relative risk information. In this paper we describe an ascertainment adjusted likelihood‐based metho