Actions for Admixture Dynamics, Natural Selection and Diseases in Admixed Populations [electronic resource]

Email RIS file
Bookmark
Report an Issue

Admixture Dynamics, Natural Selection and Diseases in Admixed Populations [electronic resource] / by Wenfei Jin

Author
Jin, Wenfei
Published
Dordrecht : Springer Netherlands : Imprint: Springer, 2015.
Edition
1st ed. 2015.
Physical Description
XIX, 114 p. 32 illus., 29 illus. in color. online resource
Additional Creators
SpringerLink (Online service)
Access Online

Availability

I Want It
I Want It

Finding items...

Series
Contents
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.
Summary
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.
Subject(s)
ISBN
9789401774086
Digital File Characteristics
text file PDF
Note
AVAILABLE ONLINE TO AUTHORIZED PSU USERS.
Part Of
Springer eBooks
View MARC record | catkey: 16621045