LEADER 01586cam0-2200337---450- 001 990004248900403321 005 20140219134335.0 035 $a000424890 035 $aFED01000424890 035 $a(Aleph)000424890FED01 035 $a000424890 100 $a19990604d--------km-y0itay50------ba 101 0 $aita 102 $aIT 105 $ay-------001yy 200 1 $a<>pitture antiche delle grotte di Roma, e del sepolcro de' Nasonj disegnate, & intagliate alla similitudine degli antichi originali da Pietro Santi Bartoli, e Francesco Bartoli suo figliuolo, descritte, et illustrate da Gio. Pietro Bellori, e Michelangelo Causei dela Chausse 210 $aIn Roma$cnella nuova Stamparia di Gaetano degli Zenobj, avanti il Seminario romano$d1706 215 $a[12], 63, [1] p., [75] c. di tav.$cill.$d39 cm 300 $aStemma di papa Clemente 11. sul front 676 $a759 700 1$aBartoli,$bPietro Sante$f<1635-1700>$0208170 701 1$aBellori,$bGiovanni Pietro$f<1613-1696>$0168016 701 1$aBartoli,$bFrancesco$f<1675-1730>$0313684 702 1$aLa Chausse,$bMichel Ange : de$f<1685-1745> 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aAQ 912 $a990004248900403321 952 $aSG 700/C 20$b14717$fFLFBC 959 $aFLFBC 996 $aPitture antiche delle grotte di Roma, e del sepolcro de' Nasonj disegnate, & intagliate alla similitudine degli antichi originali da Pietro Santi Bartoli, e Francesco Bartoli suo figliuolo, descritte, et illustrate da Gio. Pietro Bellori, e Michelangelo Causei dela Chausse$9480409 997 $aUNINA LEADER 04349nam 22006975 450 001 9910298455103321 005 20251017110206.0 010 $a1-4939-2824-4 024 7 $a10.1007/978-1-4939-2824-8 035 $a(CKB)3710000000463091 035 $a(EBL)3568347 035 $a(SSID)ssj0001546509 035 $a(PQKBManifestationID)16141285 035 $a(PQKBTitleCode)TC0001546509 035 $a(PQKBWorkID)14795950 035 $a(PQKB)10673721 035 $a(DE-He213)978-1-4939-2824-8 035 $a(MiAaPQ)EBC3568347 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/70472 035 $a(PPN)188457011 035 $a(oapen)doab70472 035 $a(oapen)doab70499 035 $a(DNLM)1671406 035 $a(EXLCZ)993710000000463091 100 $a20150813d2015 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aAssessing Rare Variation in Complex Traits $eDesign and Analysis of Genetic Studies /$fedited by Eleftheria Zeggini, Andrew Morris 205 $a1st ed. 2015. 210 1$aNew York, NY :$cSpringer New York :$cImprint: Springer,$d2015. 215 $a1 online resource (262 p.) 300 $aDescription based upon print version of record. 311 08$a1-4939-2823-6 320 $aIncludes bibliographical references. 327 $aCalling Rare Variants from Genotype Data -- Calling Variants from Sequence Data -- Rare Variant Quality Control -- Rare Structural Variants -- Functional Annotation of Rare Genetic Variants -- The 1000 Genomes Project -- The UK10K Project -- Population Isolates -- Natural Selection at Rare Variants -- Collapsing Approaches for the Association Analysis of Rare Variants -- Rare Variant Association Analysis: Beyond Collapsing Approaches -- Significance Thresholds for Rare Variant Signals -- Power of Rare Variant Aggregate Tests -- Replicating Sequence-based Association Studies of Rare Variants -- Meta-analysis of Rare Variants -- Population Stratification of Rare Variants -- Use of Appropriate Controls in Rare Variant Studies -- Trans-ethnic Fine-mapping of Rare Causal Variants. 330 $aThis unique volume is the first to cover a wide range of design and analysis issues in genetic studies of rare variants, with contributions from experts in the field, through large-scale international consortia including the UK10K Project, GO-T2D and T2D-GENES. The book presents state-of-the-art methodology for rare variant detection and calling, imputation, and analysis in samples of unrelated individuals and families. It also covers analytical issues associated with the study of rare variants, such as the impact of fine-scale population structure, and rare variants studies in a meta-analysis framework. This book covers multiple aspects of study design, analysis and interpretation for complex trait studies focusing on rare sequence variation. In many areas of genomic research, including complex trait association studies, technology is in danger of outstripping our capacity to analyze and interpret the vast amounts of data generated. The field of statistical genetics in the whole-genome sequencing era is still in its infancy, but as this book illustrates, powerful methods to analyze the aggregation of low-frequency and rare variants are now starting to emerge. The chapter Functional Annotation of Rare Genetic Variants is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com. 606 $aMedical genetics 606 $aMedicine$xResearch 606 $aBiology$xResearch 606 $aBiometry 606 $aMedical Genetics 606 $aBiomedical Research 606 $aBiostatistics 615 0$aMedical genetics. 615 0$aMedicine$xResearch. 615 0$aBiology$xResearch. 615 0$aBiometry. 615 14$aMedical Genetics. 615 24$aBiomedical Research. 615 24$aBiostatistics. 676 $a610 700 $aRitchie$b Graham$4auth$076682 702 $aZeggini$b Eleftheria$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aMorris$b Andrew$4edt$4http://id.loc.gov/vocabulary/relators/edt 906 $aBOOK 912 $a9910298455103321 996 $aAssessing Rare Variation in Complex Traits$93023473 997 $aUNINA