Advances in Twin and Sib-pair Analysis

Overview

Dissecting out the genetic and environmental basis of these diseases, however, requires study designs and analytical strategies that can det ect subtle genetic effects on multivariate phenotypes in the face of e nvironmental variation. Twin and family data have traditionally been u sed to quantify the genetic and environmental contribution to disease. Through the application of new analytical approaches, these designs c an also provide powerful models in which the search for specific genes underlying ...
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Overview

Dissecting out the genetic and environmental basis of these diseases, however, requires study designs and analytical strategies that can det ect subtle genetic effects on multivariate phenotypes in the face of e nvironmental variation. Twin and family data have traditionally been u sed to quantify the genetic and environmental contribution to disease. Through the application of new analytical approaches, these designs c an also provide powerful models in which the search for specific genes underlying non-Mendelian diseases can be optimised. This book discuss es the state-of-the-art in twin and sib-pairs analysis of complex dise ases both from the perspective of epidemiology (study design, subject selection, sampling strategies) and biostatistics (path analysis, surv ival analysis, linkage analysis, association studies). Novel ways are discussed in which twins and sib-pairs can be used to meet the challen ge of identifying the location and function of genes underlying comple x traits.

The book contains black-and-white illustrations.

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Editorial Reviews

Doody's Review Service
Reviewer: Joann A. Boughman, PhD (University of Maryland)
Description: This book is from the First International Workshop of Complex Traits using Twins and Sub-Pairs which took place in 1998. The editors have compiled chapters from multiple authors, sometimes with competing perspectives, on data collection and study design, approaches to estimating genetic and environmental influences, and methods of assessing specific gene contributions to traits.
Purpose: As the editors' goal is to focus on areas of development and controversy rather than to present a comprehensive overview, they meet their objective. The editors and contributors are both precise and concise, but they provide enough context that the major points are covered without reading references extensively. This book would be a useful addition to the shelves of many laboratories and private offices.
Audience: One of the intriguing aspects of this compilation is that it is appropriate for a wide variety of scientific audiences from students through experts in areas of statistics, epidemiology, population genetics, and molecular biology. While some chapters would be preferred by those immersed in analysis, several contributors have provided sound reviews and updates on a variety of topics. The editors and contributors are creditable in the fields in which they write. Some are more accomplished and well known than others, but each chapter is readable alone or in context.
Features: This compilation is really quite broad in the coverage of data collection and the power of study designs that appropriately utilize twins and sib-pairs. Pitfalls and perceptions are addressed directly in many chapters, providing a text-like approach for newcomers. The inclusion of chapters by authors preferring different analytic approaches both permits and challenges the reader to assess strengths and weaknesses of alternatives. The editors have condensed a great deal of historical perspective as well as current discussion into a small space by their selection of topics, contributors, and editing. This book is not the most up-to-date, comprehensive, nor analytical coverage of these fields of statistical genetic studies, but is meant to provide background, context, and review. Those scientists immersed in this field would not be inclined to look to this reading for current solutions to complex analytical challenges.
Assessment: As a result of the international meeting, the editors have compiled very valuable collection of chapters that indeed contributes significantly to the field by emphasizing the great value, importance, and power of these analytical approaches. The numerous contributors have taken their charges seriously, and provide enough background and analysis to define the approaches and issues without overwhelming the more novice reader with incoherent detail.
Joann A. Boughman
This book is from the First International Workshop of Complex Traits using Twins and Sub-Pairs which took place in 1998. The editors have compiled chapters from multiple authors, sometimes with competing perspectives, on data collection and study design, approaches to estimating genetic and environmental influences, and methods of assessing specific gene contributions to traits. As the editors' goal is to focus on areas of development and controversy rather than to present a comprehensive overview, they meet their objective. The editors and contributors are both precise and concise, but they provide enough context that the major points are covered without reading references extensively. This book would be a useful addition to the shelves of many laboratories and private offices. One of the intriguing aspects of this compilation is that it is appropriate for a wide variety of scientific audiences from students through experts in areas of statistics, epidemiology, population genetics, and molecular biology. While some chapters would be preferred by those immersed in analysis, several contributors have provided sound reviews and updates on a variety of topics. The editors and contributors are creditable in the fields in which they write. Some are more accomplished and well known than others, but each chapter is readable alone or in context. This compilation is really quite broad in the coverage of data collection and the power of study designs that appropriately utilize twins and sib-pairs. Pitfalls and perceptions are addressed directly in many chapters, providing a text-like approach for newcomers. The inclusion of chapters by authors preferring different analytic approachesboth permits and challenges the reader to assess strengths and weaknesses of alternatives. The editors have condensed a great deal of historical perspective as well as current discussion into a small space by their selection of topics, contributors, and editing. This book is not the most up-to-date, comprehensive, nor analytical coverage of these fields of statistical genetic studies, but is meant to provide background, context, and review. Those scientists immersed in this field would not be inclined to look to this reading for current solutions to complex analytical challenges. As a result of the international meeting, the editors have compiled very valuable collection of chapters that indeed contributes significantly to the field by emphasizing the great value, importance, and power of these analytical approaches. The numerous contributors have taken their charges seriously, and provide enough background and analysis to define the approaches and issues without overwhelming the more novice reader with incoherent detail.

3 Stars from Doody
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Product Details

  • ISBN-13: 9781841100043
  • Publisher: Oxford University Press
  • Publication date: 1/27/2000
  • Pages: 266
  • Product dimensions: 6.14 (w) x 9.21 (h) x 0.67 (d)

Table of Contents

Contributors
Preface
1 The history of twin and sibling-pair studies 1
2 Influence of design on the outcome of twin studies 11
3 Sample selection and outcome definition in twin studies: experiences from the Finnish twin cohort study 23
4 Practical approaches to account for bias and confounding in twin data 35
5 The co-twin control study 53
6 Generalisability and assumptions of twin studies 67
7 Fetal programming or genes? 79
8 Twin and sib-pair studies in developing countries 91
9 Comparison of analysis of variance and likelihood models of twin data analysis 103
10 Path analysis of age-related disease traits 119
11 Survival analysis methods in twin research 131
12 Gene-environment interaction and twin studies 143
13 Why 'common environmental effects' are so uncommon in the literature 151
14 Using sib-pairs and parent-child trios in association studies 167
15 The concept of genome-wide power and a consideration of its potential use in mapping polygenic traits: the example of sib-pairs 181
16 The use of twins in quantitative trait locus mapping 189
17 Multivariate QTL analysis using structural equation modelling: a look at power under simple conditions 203
18 QTL mapping with sib-pairs: the flexibility of Mx 219
19 Implications of pharmacogenetic polymorphisms for human health 245
Index 259
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