Authors:
- Nominated as an outstanding Ph.D. Thesis by Chinese Academy of Sciences, China
- Illustrating signals of natural selection in African American ?
- Advancing the understanding on the recent population admixture, adaptation to local environment and its health implication
- Includes supplementary material: sn.pub/extras
Part of the book series: Springer Theses (Springer Theses)
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Table of contents (6 chapters)
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Front Matter
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Back Matter
About this book
In this thesis, Dr. Jin presents the distribution of ancestral chromosomal segments in the admixed genome, which could provide the information needed to explore population admixture dynamics. The author derives accurate population histories of African Americans and Mexicans using genome-wide single nucleotide polymorphisms (SNPs) data. Mapping the genetic background facilitates the study of natural selection in the admixed population, and the author identifies the signals of selection in African Americans since their African ancestors left for America. He further demonstrates that many of the selection signals were associated with African American-specific high-risk diseases such as prostate cancer and hypertension, suggesting an important role these disease-related genes might have played in adapting to their new environment. Lastly, the author reveals the complexity of natural selection in shaping human susceptibility to disease. The thesis significantly advances our understanding of the recent population admixture, adaptation to local environment and its health implications.
Authors and Affiliations
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CAS-MPG Partner Institute for Computational Biology (PICB), Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, China
Wenfei Jin
About the author
Bibliographic Information
Book Title: Admixture Dynamics, Natural Selection and Diseases in Admixed Populations
Authors: Wenfei Jin
Series Title: Springer Theses
DOI: https://doi.org/10.1007/978-94-017-7408-6
Publisher: Springer Dordrecht
eBook Packages: Biomedical and Life Sciences, Biomedical and Life Sciences (R0)
Copyright Information: Springer Science+Business Media Dordrecht 2015
Hardcover ISBN: 978-94-017-7406-2Published: 09 October 2015
Softcover ISBN: 978-94-024-0430-2Published: 23 August 2016
eBook ISBN: 978-94-017-7408-6Published: 20 October 2015
Series ISSN: 2190-5053
Series E-ISSN: 2190-5061
Edition Number: 1
Number of Pages: XIX, 114
Number of Illustrations: 3 b/w illustrations, 29 illustrations in colour
Topics: Human Genetics, Bioinformatics, Genetics and Population Dynamics