An Introduction to Statistical Genetic Data Analysis

Felix C. Tropf (u. a.)

ISBN 10: 0262538385 / ISBN 13: 9780262538381

Published by MIT Press Ltd, 2020

About this Item

An Introduction to Statistical Genetic Data Analysis | Felix C. Tropf (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2020 | MIT Press Ltd | EAN 9780262538381 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.

Seller Inventory # 118103580

Bibliographic Details

• Title: An Introduction to Statistical Genetic Data Analysis
• Publisher: MIT Press Ltd
• Publication Date: 2020
• Language: English
• ISBN 10: 0262538385
• ISBN 13: 9780262538381
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 228W x 181H x 32D millimeters 228 millimeters width by 181 millimeters height by 32 millimeters depth
• Weight: 820 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

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.

About the Author

Melinda C. Mills is Professor at the University of Oxford and Nuffield College, where she is also Director of the Leverhulme Centre for Demographic Science.

Nicola Barban is Associate Professor at the Institute for Social and Economic Research at the University of Essex.

Felix Tropf is Assistant Professor at École Nationale de la Statistique et de L'administration Économique (ENSAE) and Center for Research in Economics and Statistics (CREST), Paris.