03097nam 2200457z- 450 991022003470332120210211(CKB)3800000000216430(oapen)https://directory.doabooks.org/handle/20.500.12854/54864(oapen)doab54864(EXLCZ)99380000000021643020202102d2016 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierNovel Approaches to the Analysis of Family Data in Genetic EpidemiologyFrontiers Media SA20161 online resource (84 p.)Frontiers Research Topics2-88919-932-0 Genome-wide association studies (GWAS) for complex disorders with large case-control populations have been performed on hundreds of traits in more than 1200 published studies (http://www.genome.gov/gwastudies/) but the variants detected by GWAS account for little of the heritability of these traits, leading to an increasing interest in using family based designs. While GWAS studies are designed to find common variants with low to moderate attributable risks, family based studies are expected to find rare variants with high attributable risk. Because family-based designs can better control both genetic and environmental background, this study design is robust to heterogeneity and population stratification. Moreover, in family-based analysis, the background genetic variation can be modeled to control the residual variance which could increase the power to identify disease associated rare variants. Analysis of families can also help us gain knowledge about disease transmission and inheritance patterns. Although a family-based design has the advantage of being robust to false positives, novel and powerful methods to analyze families in genetic epidemiology continue to be needed, especially for the interaction between genetic and environmental factors associated with disease. Moreover, with the rapid development of sequencing technology, advances in approaches to the design and analysis of sequencing data in families are also greatly needed. The 11 articles in this book all introduce new methodology and, using family data, substantial new findings are presented in the areas of infectious diseases, diabetes, eye traits, autism spectrum disorder and prostate cancer.Genetics (non-medical)bicsscautismcombining studies screeningconditional-logistic linkageinfectious diseasesInformaticsMCMCprostate cancerRegional heritabilityGenetics (non-medical)Robert C. Elstonauth508215Nathan MorrisauthJill S. Barnholtz-SloanauthXiangqing SunauthBOOK9910220034703321Novel Approaches to the Analysis of Family Data in Genetic Epidemiology3013899UNINA01323nam0 2200373 i 450 PAL023936720251003044307.09788857901169IT2012-666 20111206d2012 ||||0itac50 baitaitz01i xxxe z01nz01ncRDAcarrierOnde di superficie in geofisica applicataacquisizione e analisi di dati secondo tecniche MASW e HVSRGiancarlo Dal Moro[Palermo]Flaccovio2012VIII, 191 p.ill.24 cmGeofisica001CFI09231942001 GeofisicaGeofisicaFIRCFIC006702E550Scienze della terra14551.22TERREMOTI22Fisica terrestreGeofisicaFisica terrestreDal Moro, GiancarloPALV061834070515935ITIT-00000020111206IT-BN0095 NAP 01SALA $PAL0239367Biblioteca Centralizzata di Ateneo 01SALA 550 MOR on 0104 0000024185 VMA Y 2013051320130513 01Onde di superficie in geofisica applicata854050UNISANNIO