By Robert C. Elston, Jaya M. Satagopan, Shuying Sun

ISBN-10: 1617795542

ISBN-13: 9781617795541

Contemporary advances in genetics during the last zone of a century, in particular in molecular strategies, have dramatically decreased the price of deciding on genetic markers and for this reason opened up a box of analysis that's more and more helping to observe, hinder and/or therapy many ailments that afflict people. In Statistical Human Genetics: equipment and Protocols expert researchers within the box describe statistical tools and desktop courses within the aspect essential to lead them to extra simply obtainable to the newbie studying facts. Written within the hugely successful Methods in Molecular Biology™ sequence structure, with examples of operating the courses and analyzing this system outputs, the chapters contain the type of specific description and implementation recommendation that's an important for purchasing optimum effects from human genetic information accrued within the laboratory.   Thorough and up to attainable intuitive, Statistical Human Genetics: tools and Protocols aids scientists in realizing the pc courses and analytical strategies they should use.

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22) proposed a method that incorporates sex-chromosome markers to further improve power; Sieberts et al. (9) and McPeek (23) discussed ways to investigate >2 individuals simultaneously; Sun et al. (24) extended the EIBD statistic to analyzing large inbred pedigrees such as the Hutterites. ) 3. Pedigree errors and genotyping errors are often confounded. The common practice is to first detect genotyping errors by evaluating marker-specific statistic such as the Mendelian inconsistencies rate, averaged across all pedigrees or samples.

10. Lange K, Boehnke M. (1983) Extensions to pedigree analysis. V. Optimal calculation of Mendelian likelihoods. Hum Hered. 33(5): 291–301. 11. Stringham HM, Boehnke M. (1996) Identifying marker typing incompatibilities in linkage analysis. Am J Hum Genet. 59(4):946–950. 12. Lange K, Weeks D, Boehnke M. (1988) Programs for Pedigree Analysis: MENDEL, FISHER, and dGENE. Genet Epidemiol. 5(6):471–472. 13. (2002) Detection and integration of genotyping errors in statistical genetics. Am J Hum Genet.

Statistica Sinica 12:311–335 24. Sun L, Abney M, McPeek MS (2001) Detection of mis-specified relationships in inbred and outbred pedigrees. Genet Epidemiol 21 Suppl 1:S36–41 25. Broman KW, Weber JL (1998) Estimation of pairwise relationships in the presence of genotyping errors. Am J Hum Genet 63 (5):1563–1564 26. Ray A, Weeks DE (2008) Relationship uncertainty linkage statistics (ruls): affected relative pair statistics that model relationship uncertainty. Genet Epidemiol 32(4):313–324 Chapter 4 Identifying Cryptic Relationships Lei Sun and Apostolos Dimitromanolakis Abstract Cryptic relationships such as first-degree relatives often appear in studies that collect population samples such as the case–control genome-wide association studies (GWAS).

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Statistical Human Genetics (Methods in Molecular Biology, v850) by Robert C. Elston, Jaya M. Satagopan, Shuying Sun


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