Admixture dynamics, natural selectio...
Jin, Wenfei.

 

  • Admixture dynamics, natural selection and diseases in admixed populations[electronic resource] /
  • 紀錄類型: 書目-語言資料,印刷品 : Monograph/item
    杜威分類號: 578.4
    書名/作者: Admixture dynamics, natural selection and diseases in admixed populations/ by Wenfei Jin.
    作者: Jin, Wenfei.
    出版者: Dordrecht : : Springer Netherlands :, 2015.
    面頁冊數: xix, 114 p. : : ill., digital ;; 24 cm.
    Contained By: Springer eBooks
    標題: Adaptation (Biology)
    標題: Human evolution.
    標題: Genomes.
    標題: Human gene mapping.
    標題: Disease susceptibility.
    標題: Biomedicine.
    標題: Human Genetics.
    標題: Bioinformatics.
    標題: Genetics and Population Dynamics.
    ISBN: 9789401774086
    ISBN: 9789401774062
    內容註: Introduction -- Distribution of length of ancestral chromosomal segments in admixed genomes -- Exploring population admixture dynamics via distribution of LACS -- Genome-wide search for signatures of natural selection in African Americans -- Complex selective forces shaping the genes underlying human diseases -- Materials and Methods.
    摘要、提要註: 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 shapinghuman susceptibility to disease. The thesis significantly advances our understanding of the recent population admixture, adaptation to local environment and its health implications.
    電子資源: http://dx.doi.org/10.1007/978-94-017-7408-6
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