Pankaj Sharma M.D., Ph.D., FRCP, James F. Meschia M.D.'s Stroke Genetics PDF

By Pankaj Sharma M.D., Ph.D., FRCP, James F. Meschia M.D. (auth.), Pankaj Sharma, James F Meschia (eds.)

ISBN-10: 0857292080

ISBN-13: 9780857292087

ISBN-10: 0857292099

ISBN-13: 9780857292094

Over the decade there was a considerable elevate in our realizing of the genetic foundation of universal issues similar to stroke. Stroke Genetics is designed to provide the reader an total realizing of the genetics of advanced illnesses by utilizing stroke as a paradigm. The reader will achieve a finished figuring out of cerebrovascular genetics together with the epidemiological facts for the genetic foundation of ischemic and hemorrhagic stroke, wisdom of its molecular foundation from organization, linkage and up to date genome-wide stories, and in addition monogenic issues. eventually, the felony and moral complexities in facing those concerns are mentioned.

Stroke Genetics merits from the contribution of well known specialists from in the course of the international who've been in detail thinking about unraveling the genetic etiology of stroke. Stroke Genetics is a invaluable source for neurologists, stroke physicians, high blood pressure experts, internists, scientific pharmacologists and people in education, in addition to researchers within the box of disorder genetics.

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In practice, this means genotyping a sample at hundreds of thousands of SNPs and relating this to clinical conditions and measurable traits. Until recently, analytically robust genotyping of more than 100,000 SNPs per sample was not possible. With improvements in genotyping techniques and data storage and processing capabilities, the GWA study has become an established and important method in genomics. These developments have resulted in an explosion of positive whole-genome association studies and the identification of many new genes for common diseases.

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. Am J Epidemiol. 2009; 170(10):1197–206. 55. Egger M, Davey Smith G, Schneider M, Minder C. Bias in meta-analysis detected by a simple, graphical test. BMJ. 1997;315(7109):629–34. 56. Chapter 7: publication bias.

Nature. 2007;447(7145):655–60. 36. Lin E, Hsu SY. A Bayesian approach to gene-gene and gene-environment interactions in chronic fatigue syndrome. Pharmacogenomics. 2009;10(1):35–42. 37. Smith JG, Melander O, Lovkvist H, Hedblad B, Engstrom G, Nilsson P, et al. Common genetic variants on chromosome 9p21 confers risk of ischemic stroke: a large-scale genetic association study. Circ Cardiovasc Genet. 2009;2(2):159–64. 38. Gschwendtner A, Bevan S, Cole JW, Plourde A, Matarin M, Ross-Adams H, et al.

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Stroke Genetics by Pankaj Sharma M.D., Ph.D., FRCP, James F. Meschia M.D. (auth.), Pankaj Sharma, James F Meschia (eds.)

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