LEADER 01325nam a22002891i 4500 001 991001984219707536 005 20040114141150.0 008 040407s1997 it |||||||||||||||||eng 035 $ab12853148-39ule_inst 035 $aARCHE-083276$9ExL 040 $aDip.to Scienze Storiche$bita$cA.t.i. Arché s.c.r.l. Pandora Sicilia s.r.l. 082 04$a330 100 1 $aBottasso, Anna$0253347 245 14$aThe impact of financing constraints on markups :$btheory and evidence from italian firm level data /$cAnna Bottasso, Marzio Galeotti, Alessandro Sembenelli 260 $aMilano :$bFondazione ENI Enrico Mattei,$c1997 300 $a1 v. ;$c22 cm 440 0$aNote di lavoro della Fondazione ENI Enrico Mattei ;$v73.97 650 4$aAziende$zItalia 651 4$aItalia$xPolitica finanziaria 700 1 $aGaleotti, Marzio$eauthor$4http://id.loc.gov/vocabulary/relators/aut$0118671 700 1 $aSembenelli, Alessandro$eauthor$4http://id.loc.gov/vocabulary/relators/aut$0119413 907 $a.b12853148$b02-04-14$c16-04-04 912 $a991001984219707536 945 $aLE009 GEOG.COLL.14D/73$g1$i2009000309135$lle009$o-$pE0.00$q-$rl$s- $t0$u0$v0$w0$x0$y.i13412450$z16-04-04 996 $aImpact of financing constraints on markups$91448393 997 $aUNISALENTO 998 $ale009$b16-04-04$cm$da $e-$feng$git $h4$i1 LEADER 03097nam 2200457z- 450 001 9910220034703321 005 20210211 035 $a(CKB)3800000000216430 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/54864 035 $a(oapen)doab54864 035 $a(EXLCZ)993800000000216430 100 $a20202102d2016 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aNovel Approaches to the Analysis of Family Data in Genetic Epidemiology 210 $cFrontiers Media SA$d2016 215 $a1 online resource (84 p.) 225 1 $aFrontiers Research Topics 311 08$a2-88919-932-0 330 $aGenome-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. 606 $aGenetics (non-medical)$2bicssc 610 $aautism 610 $acombining studies screening 610 $aconditional-logistic linkage 610 $ainfectious diseases 610 $aInformatics 610 $aMCMC 610 $aprostate cancer 610 $aRegional heritability 615 7$aGenetics (non-medical) 700 $aRobert C. Elston$4auth$0508215 702 $aNathan Morris$4auth 702 $aJill S. Barnholtz-Sloan$4auth 702 $aXiangqing Sun$4auth 906 $aBOOK 912 $a9910220034703321 996 $aNovel Approaches to the Analysis of Family Data in Genetic Epidemiology$93013899 997 $aUNINA