LEADER 03784nam 22006615 450 001 9910298460503321 005 20200702112853.0 010 $a94-017-7408-0 024 7 $a10.1007/978-94-017-7408-6 035 $a(CKB)3710000000484708 035 $a(EBL)4068929 035 $a(SSID)ssj0001583757 035 $a(PQKBManifestationID)16264275 035 $a(PQKBTitleCode)TC0001583757 035 $a(PQKBWorkID)14865839 035 $a(PQKB)11657273 035 $a(DE-He213)978-94-017-7408-6 035 $a(MiAaPQ)EBC4068929 035 $a(PPN)190537035 035 $a(EXLCZ)993710000000484708 100 $a20150930d2015 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aAdmixture Dynamics, Natural Selection and Diseases in Admixed Populations /$fby Wenfei Jin 205 $a1st ed. 2015. 210 1$aDordrecht :$cSpringer Netherlands :$cImprint: Springer,$d2015. 215 $a1 online resource (126 p.) 225 1 $aSpringer Theses, Recognizing Outstanding Ph.D. Research,$x2190-5053 300 $aDescription based upon print version of record. 311 $a94-017-7406-4 320 $aIncludes bibliographical references at the end of each chapters. 327 $aIntroduction -- 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. 330 $aIn this thesis, Dr. Jin presents the distribution of ancestral chromosomal segments in the admixed genome, which could provide the information needed to explore population admixture dynamics. The author derives accurate population histories of African Americans and Mexicans using genome-wide single nucleotide polymorphisms (SNPs) data. Mapping the genetic background facilitates the study of natural selection in the admixed population, and the author identifies the signals of selection in African Americans since their African ancestors left for America. He further demonstrates that many of the selection signals were associated with African American-specific high-risk diseases such as prostate cancer and hypertension, suggesting an important role these disease-related genes might have played in adapting to their new environment. Lastly, the author reveals the complexity of natural selection in shapinghuman susceptibility to disease. The thesis significantly advances our understanding of the recent population admixture, adaptation to local environment and its health implications. 410 0$aSpringer Theses, Recognizing Outstanding Ph.D. Research,$x2190-5053 606 $aHuman genetics 606 $aBioinformatics 606 $aBiomathematics 606 $aHuman Genetics$3https://scigraph.springernature.com/ontologies/product-market-codes/B12008 606 $aBioinformatics$3https://scigraph.springernature.com/ontologies/product-market-codes/L15001 606 $aGenetics and Population Dynamics$3https://scigraph.springernature.com/ontologies/product-market-codes/M31010 615 0$aHuman genetics. 615 0$aBioinformatics. 615 0$aBiomathematics. 615 14$aHuman Genetics. 615 24$aBioinformatics. 615 24$aGenetics and Population Dynamics. 676 $a578.4 700 $aJin$b Wenfei$4aut$4http://id.loc.gov/vocabulary/relators/aut$01065334 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910298460503321 996 $aAdmixture Dynamics, Natural Selection and Diseases in Admixed Populations$92544749 997 $aUNINA