1.

Record Nr.

UNINA9910298460503321

Autore

Jin Wenfei

Titolo

Admixture Dynamics, Natural Selection and Diseases in Admixed Populations / / by Wenfei Jin

Pubbl/distr/stampa

Dordrecht : , : Springer Netherlands : , : Imprint : Springer, , 2015

ISBN

94-017-7408-0

Edizione

[1st ed. 2015.]

Descrizione fisica

1 online resource (126 p.)

Collana

Springer Theses, Recognizing Outstanding Ph.D. Research, , 2190-5053

Disciplina

578.4

Soggetti

Human genetics

Bioinformatics

Biomathematics

Human Genetics

Genetics and Population Dynamics

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Description based upon print version of record.

Nota di bibliografia

Includes bibliographical references at the end of each chapters.

Nota di contenuto

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.

Sommario/riassunto

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.