000 04511nam a22005535i 4500
001 978-0-387-49686-3
003 DE-He213
005 20250710084004.0
007 cr nn 008mamaa
008 100301s2007 xxu| s |||| 0|eng d
020 _a9780387496863
_a99780387496863
024 7 _a10.1007/978-0-387-49686-3
_2doi
082 0 4 _a611.01816
_223
082 0 4 _a599.935
_223
100 1 _aSiegmund, David.
_eauthor.
245 1 4 _aThe Statistics of Gene Mapping
_h[recurso electrónico] /
_cby David Siegmund, Benjamin Yakir.
264 1 _aNew York, NY :
_bSpringer New York,
_c2007.
300 _aXIX, 331 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _arecurso en línea
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aStatistics for Biology and Health,
_x1431-8776
505 0 _aBackground and Preparations -- Background in Statistics -- to Experimental Genetics -- Fundamentals of Genetics: Inbreeding, Recombination, Random Mating, and Identity by Descent -- Experimental Genetics -- Testing for Linkage with a Single Marker -- Whole Genome Scans: The Significance Level -- Statistical Power and Confidence Regions -- Missing Data and Interval Mapping -- Advanced Topics -- Human Genetics -- Mapping Qualitative Traits in Humans Using Affected Sib Pairs -- Admixture Mapping -- Mapping Complex and Quantitative Traits with Data from Human Pedigrees -- Association Studies -- Inferring Haplotypes from Genotypes and Testing Association.
520 _aGene mapping is used in experimental genetics to improve the hardiness or productivity of animals or plants of agricultural value, to explore basic mechanisms of inheritance, or to study animal models of human inheritance. In human populations it is used as a first step to identify genes associated with human health and disease. This book presents a unified discussion of the statistical concepts applied in gene mapping, first in the experimental context of crosses of inbred lines and then in outbred populations, primarily humans. The development involves elementary principles of probability and statistics, which are implemented by computational tools based on the R programming language to simulate genetic experiments and evaluate statistical analyses. The viewpoint reflects the modern approach of using anonymous DNA markers distributed throughout the genome to identify regions likely to contain genes of interest. The reader is assumed to have some familiarity with probability/statistics and with elementary genetics. Important topics are reviewed in the first three chapters. The R programming language is developed in the text. Each chapter contains exercises, both theoretical and computational, some routine and others that are more challenging. The book is suitable for upper level undergraduate students or graduate students of genetics or statistics. David Siegmund is the John D. and Sigrid Banks Professor in the Department of Statistics,Stanford University. He has been a visitor at The Hebrew University, the University of Zurich, the University of Heidelberg, the National University of Singapore, and the Free University of Amsterdam. He is a member of the National Academy of Sciences (USA) and the American Academy of Arts and Sciences. Benjamin Yakir is Associate Professor of Statistics at The Hebrew University of Jerusalem and has been a visiting professor at Stanford University, the University of Pennsylvania, and the National University of Singapore.
650 0 _aMEDICINE.
650 0 _aHUMAN GENETICS.
650 0 _aCOMPUTER SIMULATION.
650 0 _aBIOINFORMATICS.
650 0 _aANIMAL GENETICS.
650 0 _aGENETICS
_xMATHEMATICS.
650 0 _aSTATISTICS.
650 1 4 _aBIOMEDICINE.
650 2 4 _aHUMAN GENETICS.
650 2 4 _aBIOINFORMATICS.
650 2 4 _aSTATISTICS FOR LIFE SCIENCES, MEDICINE, HEALTH SCIENCES.
650 2 4 _aSIMULATION AND MODELING.
650 2 4 _aANIMAL GENETICS AND GENOMICS.
650 2 4 _aGENETICS AND POPULATION DYNAMICS.
700 1 _aYakir, Benjamin.
_eauthor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9780387496849
830 0 _aStatistics for Biology and Health,
_x1431-8776
856 4 0 _uhttp://dx.doi.org/10.1007/978-0-387-49686-3
_zVer el texto completo en las instalaciones del CICY
912 _aZDB-2-SBL
942 _2ddc
_cER
999 _c57871
_d57871