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Admixture Dynamics, Natural Selection and Diseases in Admixed Populations

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  • © 2015

Overview

Authors:
  1. Wenfei Jin

    1. CAS-MPG Partner Institute for Computational Biology (PICB), Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, China

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  • 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)

  1. Front Matter

    Pages i-xix
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  2. Introduction

    • Wenfei Jin
    Pages 1-22

  3. Distribution of Length of Ancestral Chromosomal Segments in Admixed Genomes

    • Wenfei Jin
    Pages 23-33

  4. Exploring Population Admixture Dynamics via Distribution of LACS

    • Wenfei Jin
    Pages 35-51

  5. Genome-Wide Search for Signatures of Natural Selection in African Americans

    • Wenfei Jin
    Pages 53-71

  6. Complex Selective Forces Shaping the Genes Underlying Human Diseases

    • Wenfei Jin
    Pages 73-92

  7. Materials and Methods

    • Wenfei Jin
    Pages 93-109

  8. Back Matter

    Pages 111-114
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Keywords

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

  • CAS-MPG Partner Institute for Computational Biology (PICB), Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, China

    Wenfei Jin

About the author

Wenfei Jin obtained his Ph.D. from Shanghai Institute of Biological Sciences (SIBS), Chinese Academy of Sciences (CAS). He was supervised by Prof. Li Jin from Fudan University and Prof. Shuhua Xu from SIBS. During his Ph.D. study, Wenfei Jin published 11 research articles, of which 6 articles are as first or co-first author. He received SIBS-Eli Lilly Outstanding Ph.D. Thesis Awards from Eli Lilly, China, in 2012, and won the Excellent Doctoral Dissertation of CAS in 2013. Dr. Wenfei Jin is now a visiting fellow at NHLBI, National Institute of Health in the USA.

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

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