Introduction To Genetic Analysis

Provides an introduction to genetic analysis. This book covers contemporary genetics, and helps students understand the essentials of genetics, featuring various experiments, teaching them how to analyze data, and how to draw their own conclusions

Preceded by Introduction to genetic analysis / Anthony J.F. Griffiths, Susan R. Wessler, Sean B. Carroll, John Doebley. 11th ed. c2015.

This is the textbook only without LaunchPad. With each edition, An Introduction to Genetic Analysis (IGA) evolves discovery by discovery with the world of genetic research, taking students from the foundations of Mendelian genetics to the latest findings and applications by focusing on the landmark experiments that define the field. With its author team of prominent scientists who are also highly accomplished educators, IGA again combines exceptional currency, expansive updating of its acclaimed problem sets, and a variety of new ways to learn genetics. An Introduction to Genetic Analysis can also be purchased with W.H. Freeman’s breakthrough online course space, LaunchPad, which offers innovative media content, curated and organised for easy assignability. Including LearningCurve, our adaptive quizzing resource, to engage your students and develop their understanding of genetics. To order this book bundled with LaunchPad please order package isbn 9781137563569.

CD-ROM contains: 39 animations closely linked to the text, convering topics such as transcription, complementation, and DNA replication.

A comprehensive introduction to modern applied statistical genetic data analysis, accessible to those without a background in molecular biology or genetics. Human genetic research is now relevant beyond biology, epidemiology, and the medical sciences, with applications in such fields as psychology, psychiatry, statistics, demography, sociology, and economics. With advances in computing power, the availability of data, and new techniques, it is now possible to integrate large-scale molecular genetic information into research across a broad range of topics. This book offers the first comprehensive introduction to modern applied statistical genetic data analysis that covers theory, data preparation, and analysis of molecular genetic data, with hands-on computer exercises. It is accessible to students and researchers in any empirically oriented medical, biological, or social science discipline; a background in molecular biology or genetics is not required. The book first provides foundations for statistical genetic data analysis, including a survey of fundamental concepts, primers on statistics and human evolution, and an introduction to polygenic scores. It then covers the practicalities of working with genetic data, discussing such topics as analytical challenges and data management. Finally, the book presents applications and advanced topics, including polygenic score and gene-environment interaction applications, Mendelian Randomization and instrumental variables, and ethical issues. The software and data used in the book are freely available and can be found on the book's website.

This is the Solutions manual for Introduction to Genetic Analysis.