Chapters:

1. The history of twin and sib-pair studies. Tim Spector
2. Influence of design on the outcome of twin studies. David Strachan
3. Sample selection and ourcome definition in twin studies: experiences from the Finnish Twin Cohort Study. Jaakko Kaprio, Pia Verkasalo & Markku Koskenvuo
4. Fetal programming or genes? David Phillips
5. Generalizability of twin studies. Kirsten Kyvik
6. Dealing with bias and confounding. Alex MacGregor
7. The co-twin control study. David Duffy
8. Gen-environment interaction and twin studies. Nick Martin
9. Twin and sib-pair studies in developing countries. Xiping Xu et al.
10. Implications of pharmacogenetic polymorphisms for human health. Roland Wolfe & Gillian Smith
11. Comparison of analysis of variance and likelihood models of twin data analysis. Joe Christian & Christopher Williams
12. On why common environment effects are so uncommon in the literature. John Hopper
13. Path analysis of age related disease traits. Harold Snieder
14. Survival analysis methods in twin research. Andrew Pickles
15. Using sib-pairs and parent-child trios in association studies. Cathryn Lewis
16. The concept of genome-wide power and a consideration of its potential use in mapping polygenic traits: The example of sib-pairs. David Allison & Myles Faith
17. The use of twins in Quantitative Trait Locus mapping. Nik Schork et al.
18. Multivariate QTL analysis using structural equation modeling: a look at power under simple conditions. Dorret Boomsma & Conor Dolan
19. QTL mapping in sib-pairs: A flexible approach with Mx software. Mike Neale