An Introduction to Statistical Genetic Data Analysis

This book PDF is perfect for those who love Science genre, written by Melinda C. Mills and published by MIT Press which was released on 18 February 2020 with total hardcover pages 433. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related An Introduction to Statistical Genetic Data Analysis books below.

An Introduction to Statistical Genetic Data Analysis
Author : Melinda C. Mills
File Size : 51,9 Mb
Publisher : MIT Press
Language : English
Release Date : 18 February 2020
ISBN : 9780262538381
Pages : 433 pages
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An Introduction to Statistical Genetic Data Analysis by Melinda C. Mills Book PDF Summary

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.

An Introduction to Statistical Genetic Data Analysis

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

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