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By Richard Dawkins

By way of the easiest promoting writer of The egocentric Gene 'This exciting and thought-provoking e-book is a superb representation of why the examine of evolution is in such a thrilling ferment those days.' technology 'The prolonged Phenotype is a sequel to The egocentric Gene ...he writes so in actual fact it may be understood by means of a person ready to make the effort' John Maynard Smith, London overview of Books 'Dawkins is kind of incapable of being dull this ordinarily fabulous and stimulating publication is unique and provocative all through, and immensely enjoyable.' G. A. Parker, Heredity 'The prolonged phenotype is unquestionably an important concept and it truly is pressed demanding in dramatic language.' Sydney Brenner, Nature 'Richard Dawkins, our so much radical Darwinian philosopher, can also be our greatest technology writer.' Douglas Adams 'Dawkins is an excellent communicator. His books are the very best books ever written on science.' Megan Tressider, mum or dad 'Dawkins is a genius of technological know-how popularization.' Mark Ridley, the days

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2 Candidate Gene Association Studies in Stroke 23 52. Ioannidis JP, Ntzani EE, Trikalinos TA. ‘Racial’ differences in genetic effects for complex diseases. Nat Genet. 2004;36(12):1312–8. 53. Moonesinghe R, Khoury MJ, Liu T, Ioannidis JP. Required sample size and nonreplicability thresholds for heterogeneous genetic associations. Proc Natl Acad Sci USA. 2008;105(2): 617–22. 54. Pereira TV, Patsopoulos NA, Salanti G, Ioannidis JP. Discovery properties of genome-wide association signals from cumulatively combined data sets.

2007;316(5826):889–94. 32. Meschia JF. Addressing the heterogeneity of the ischemic stroke phenotype in human genetics research. Stroke. 2002;33(12):2770–4. 33. Ioannidis JP, Ntzani EE, Trikalinos TA, Contopoulos-Ioannidis DG. Replication validity of genetic association studies. Nat Genet. 2001;29(3):306–9. G. Holliday et al. 34. Lohmueller KE, Pearce CL, Pike M, Lander ES, Hirschhorn JN. Meta-analysis of genetic association studies supports a contribution of common variants to susceptibility to common disease.

As the number of variants tested in a CGAS is much smaller than for GWAS, there is considerably more scope to fit complex models and tease out the nature of 2 Candidate Gene Association Studies in Stroke 15 effects in a reasonable time frame. For instance, if there are K SNPs, then if we do not consider interactions, there are effectively 2^K possibilities of models. There are a variety of computational techniques capable of exploring this large model space for CGAS [36], some that can determine possible Gene × Gene and Gene × Environment interactions.

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