By Tim D. Spector, Harold Snieder, Alex J. MacGregor
Dual and kinfolk information have normally been used to quantify the genetic and environmental contribution to disorder. in the course of the program of latest analytical ways, those designs may also offer strong versions within which the quest for particular genes underlying non-Mendelian illnesses could be optimised. This publication discusses the cutting-edge in dual and sib-pairs research of complicated illnesses either from the point of view of epidemiology (study layout, topic choice, sampling techniques) and biostatistics (path research, survival research, linkage research, organization studies). Novel methods are mentioned during which twins and sib-pairs can be utilized to satisfy the problem of picking out the site and serve as of genes underlying complicated features. This booklet will attract a variety of biomedical scientists attracted to the genetic foundation of affliction, epidemiologists, molecular biologists, human geneticists and scholars.
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Extra resources for Advances in Twin and Sib-pair Analysis
Schork Department of Epidemiology and Biostatistics, Case Western Reserve University Cleveland, Ohio USA Gillian Smith University of Dundee Biomedical Research Centre Imperial Cancer Research Fund Molecular Pharmacology Unit Ninewells Hospital Dundee UK Page x Harold Snieder Twin Research & Genetic Epidemiology Unit St Thomas' Hospital London UK Tim D. Spector Twin Research & Genetic Epidemiology Unit St Thomas' Hospital London UK David Strachan Department of Public Health Sciences St. George's Hospital Medical School London UK Pia K.
Furthermore, developments in statistical methods in recent years have permitted more sophisticated analyses through extensions of the classical twin design. 1 Methods to analyse multivariate data (either different variables, repeated measures or both) have also developed, which has increased the general requirements for data quality. Careful attention should be paid to how samples are defined, how subjects are recruited into studies, and how outcomes are defined. Twins can also be used to test epidemiological causal hypotheses.
Clarke, Doble & Brendon 1874, London. 2 Galton F. The history of twins, as criterion of the relative powers of nature and nurture. : 566-576 3 Rende RD, Plomin R, Vandenberg SG. Who discovered the twin method? Behaviour Genetics, 1990;20: 277-285 4 Price B. Primary biases in twin studies: a review of the prenatal and natal difference-producing factors in monozygotic pairs. Am J Human Genetics 1950;2: 293-352 5 Thorndike EL. Measurement of twins. Archives of Philosophy, Psychology and Scientific Methods, 1905; 1: September.
Advances in Twin and Sib-pair Analysis by Tim D. Spector, Harold Snieder, Alex J. MacGregor