作者: Nan M. Laird , Christoph Lange
DOI:
关键词: Range (mathematics) 、 Intermediate level 、 Mendelian inheritance 、 Computer science 、 Statistical genetics 、 Human genetics 、 Data science 、 Association (object-oriented programming) 、 Statistical model 、 Computational and Statistical Genetics 、 Bioinformatics
摘要: This book covers the statistical models and methods that are used to understand human genetics, following historical recent developments of genetics. Starting with Mendels first experiments genome-wide association studies, describes how genetic information can be incorporated into discover disease genes.All commonly approaches in genetics (e.g. aggregation analysis, segregation, linkage etc), used, but focus is modern analysis.Numerous examples illustrate key points throughout text, both Mendelian complex disorders. The intended audience statisticians, biostatisticians, epidemiologists quantitatively- oriented geneticists health scientists wanting learn about for whether better analyze data, or pursue research methodology.A background intermediate level required.The authors include fewmathematical derivations, exercises provide problems students a broad range skill levels.No assumed.