04521nam a22005655i 4500 978-0-387-49686-3 DE-He213 20260521091924.0 cr nn 008mamaa 100301s2007 xxu| s |||| 0|eng d 9780387496863 99780387496863 10.1007/978-0-387-49686-3 doi CICY 611.01816 23 599.935 23 Siegmund, David. author. The Statistics of Gene Mapping [recurso electrónico] / by David Siegmund, Benjamin Yakir. New York, NY : Springer New York, 2007. XIX, 331 p. online resource. text txt rdacontent computer c rdamedia recurso en línea cr rdacarrier text file PDF rda Statistics for Biology and Health, 1431-8776 Background 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. Gene 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. MEDICINE. HUMAN GENETICS. COMPUTER SIMULATION. BIOINFORMATICS. ANIMAL GENETICS. GENETICS MATHEMATICS. STATISTICS. BIOMEDICINE. HUMAN GENETICS. BIOINFORMATICS. STATISTICS FOR LIFE SCIENCES, MEDICINE, HEALTH SCIENCES. SIMULATION AND MODELING. ANIMAL GENETICS AND GENOMICS. GENETICS AND POPULATION DYNAMICS. Yakir, Benjamin. author. SpringerLink (Online service) Springer eBooks Printed edition: 9780387496849 Statistics for Biology and Health, 1431-8776 http://dx.doi.org/10.1007/978-0-387-49686-3 Ver el texto completo en las instalaciones del CICY ddc ER 33808 33808 0 0 ddc 0 0 LE CICY CICY EL 2025-07-10 0 611.01816 | 599.935 2025-07-10 08:40:04 2025-07-10 ER