
The process of genetic counseling involves many key components, such as taking a family genetic history, making a diagnosis, and providing communication and support to the family. Among these core processes is the mathematical calculation of the actual risk of a possible genetic disorder. For most physicians and counselors, the mathematics and statistics involved can be major challenge which is not always helped by complex computer programs or lengthy papers full of elaborate formulae. In this clear, reader-friendly guide, Ian Young addresses this problem and demonstrates how risk can be estimated for inherited disorders using a basic knowledge of the laws of probability and their application to clinical problems. The text employs a wealth of clearly explained examples and key points in order to guide the reader to an accurate assessment of the risk of genetic disease. It primarily will appeal to genetic counselors, geneticists, and all those involved in providing medical genetic services. In this new edition, Dr. Young has pruned redundancies and extensively updated the concepts in each of the 10 chapters, and he has included more working examples, a popular feature of the book.
This text addresses the challenge of performing accurate risk assessments for inherited disorders by simplifying the mathematical and statistical processes required in clinical genetic counseling. Dr. Ian D. Young, an expert in the field, provides a structured framework that translates complex probability laws into practical clinical applications. By focusing on foundational principles rather than software-dependent solutions, the author enables practitioners to calculate genetic risks with greater autonomy and precision.
What You Will Find
Scope Limits
Practitioners frequently cite this work as a highly accessible and practical resource for mastering the quantitative aspects of genetic counseling. Experts highlight the book's clarity and the utility of its numerous worked examples as a foundational tool for both students and experienced clinicians.
Page Count:
241
Publication Date:
2006-01-01
Publisher:
Oxford University Press
ISBN-10:
0190294035
ISBN-13:
9780190294038
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