01195nam 2200337Ia 450 99638811040331620221108064451.0(CKB)1000000000633634(EEBO)2240953939(OCoLC)12165989(EXLCZ)99100000000063363419850617d1659 uy |engurbn||||a|bb|Some instructions concerning the art of oratory[electronic resource] collected for the use of a friend a young studentLondon Printed by J.G. for R. Royston ...1659[6], 128 pReproduction of original in Bodleian Library."Usually attributed to Walker, who may, however, have worked from materials provided by his tutor, Abraham Woodhead, to whom it is also ascribed in the DNB." cf. NUC pre-1956.eebo-0014OratoryEarly works to 1800OratoryWalker Obadiah1616-1699.1001863EAAEAAm/cWaOLNBOOK996388110403316Some instructions concerning the art of oratory2349417UNISA00900nam a2200241 i 450099100032398970753620020527111513.0010810s1939 it ||| | ita b10061393-39ule_instPARLA219563ExLDip.to Filosofiaita200.1Savinelli, Guglielmo460260La religione nel pensiero filosofico di Piero Martinetti /Guglielmo SavinelliFirenze :Il Cenacolo,193979 p. ;25 cm.Martinetti, PieroPensiero religioso.b1006139321-09-0627-06-02991000323989707536LE005 9 L 2912005000227332le005-E0.00-l- 01010.i1006983527-06-02Religione nel pensiero filosofico di Piero Martinetti194153UNISALENTOle00501-01-01ma -itait 3103097nam 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 Epidemiology3013899UNINA