𝔖 Bobbio Scriptorium
✦   LIBER   ✦

“Mixture models for linkage analysis of affected sibling pairs with covariates”

✍ Scribed by Jane M. Olson


Publisher
John Wiley and Sons
Year
2002
Tongue
English
Weight
74 KB
Volume
23
Category
Article
ISSN
0741-0395

No coin nor oath required. For personal study only.

✦ Synopsis


2002] propose a mixture representation of the affected sib pair (ASP) likelihood ratio that allows inclusion of covariates. They correctly point out that the primary purpose of covariates in linkage models is to allow for locus heterogeneity. They show using simulations the considerable increase in power that can be attained when a covariate that measures heterogeneity is included in the linkage model. Their article joins an increasing body of work that proposes using additional phenotypic data not only to increase the power to detect linkage but also to help identify subsets of pairs with a common genetic architecture [


📜 SIMILAR VOLUMES


Mixture models for linkage analysis of a
✍ B. Devlin; Bobby L. Jones; Silviu-Alin Bacanu; Kathryn Roeder 📂 Article 📅 2001 🏛 John Wiley and Sons 🌐 English ⚖ 70 KB 👁 1 views

## Abstract To determine the genetic etiology of complex diseases, a common study design is to recruit affected sib/relative pairs (ASP/ARP) and evaluate their genome‐wide distribution of identical by descent (IBD) sharing using a set of highly polymorphic markers. Other attributes or environmental

Interpreting analyses of continuous cova
✍ Silke Schmidt; Xuejun Qin; Michael A. Schmidt; Eden R. Martin; Elizabeth R. Haus 📂 Article 📅 2007 🏛 John Wiley and Sons 🌐 English ⚖ 192 KB 👁 1 views

## Abstract Datasets collected for linkage analyses of complex human diseases often include a number of clinical or environmental covariates. In this study, we evaluated the performance of three linkage analysis methods when the relationship between continuous covariates and disease risk or linkage

Comprehensive linkage and linkage hetero
✍ Tiffany A. Greenwood; Ondrej Libiger; Sharon Kardia; Craig Hanis; Alanna C. Morr 📂 Article 📅 2007 🏛 John Wiley and Sons 🌐 English ⚖ 255 KB

## Abstract Linkage analyses of complex, multifactorial traits and diseases, such as essential hypertension, have been difficult to interpret and reconcile. Many published studies provide evidence suggesting that different genes and genomic regions influence hypertension, but knowing which of these

Mixture models for cancer survival analy
✍ R. De Angelis; R. Capocaccia; T. Hakulinen; B. Soderman; A. Verdecchia 📂 Article 📅 1999 🏛 John Wiley and Sons 🌐 English ⚖ 140 KB 👁 2 views

The interest in estimating the probability of cure has been increasing in cancer survival analysis as the curability of many cancer diseases is becoming a reality. Mixture survival models provide a way of modelling time to death when cure is possible, simultaneously estimating death hazard of fatal