Understanding Dna Ancestry

An accessible introduction to how DNA ancestry tests work, what they can be used for, and the associated ethical issues.

Inhaltsverzeichnis

1. Introduction; 2. The business of DNA ancestry; 3. Geographical origins and movements of early human populations; 4. The science behind DNA ancestry testing; 5. Ancestry informative markers; 6. Ancestry DNA population reference panels; 7. Comparing a donor's DNA to reference panel populations; 8. Probing your DNA; 9. Forensic applications of ancestry DNA results; 10. Privacy, personal identity and legal issues; 11. Discovering unknown, missing or mistaken relatives; 12. Accuracy, consistency and validation of DNA ancestry tests; 13. Conclusion.

Über den Autor / die Autorin

Sheldon Krimsky is Lenore Stern Professor of Humanities and Social Sciences and Adjunct Professor of Public Health and Community Medicine at Tufts University, Massachusetts, USA. His research has focused on the linkages between science/technology, ethics/values and public policy. His areas of specialization include biomedical sciences, bioethics, science and technology studies, risk assessment and communication, social history of science, and environmental health. He is the author of over 200 articles and reviews, and author, co-author or editor of 16 books.

Produktdetails

• Autoren: Sheldon Krimsky, Sheldon (Tufts University Krimsky, Krimsky Sheldon
• Verlag: Cambridge University Press ELT
• Sprache: Englisch
• Produktform: Fester Einband
• Erschienen: 31.07.2021
• EAN: 9781108841986
• ISBN: 978-1-108-84198-6
• Seiten: 168
• Serie: Understanding Life
• Themen: Geisteswissenschaften, Kunst, Musik > Geschichte > Allgemeines, Lexika; Naturwissenschaften, Medizin, Informatik, Technik > Naturwissenschaften allgemein; Evolution, popular science, SCIENCE / Life Sciences / Genetics & Genomics, Philosophy of Science, History of Science, Impact of science & technology on society, Impact of science and technology on society, Genetics (non-medical), Dna & Genome, Computational biology / bioinformatics