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Full-Text Articles in Genetics and Genomics

Human Population History At The Crossroads Of East And Southeast Asia Since 11,000 Years Ago, Tianyi Wang, Wei Wang, Guangmao Xie, Zhen Li, Xuechun Fan, Qingping Yang, Xichao Wu, Ling Qin, Fajun Li, Melinda A. Yang Jun 2021

Human Population History At The Crossroads Of East And Southeast Asia Since 11,000 Years Ago, Tianyi Wang, Wei Wang, Guangmao Xie, Zhen Li, Xuechun Fan, Qingping Yang, Xichao Wu, Ling Qin, Fajun Li, Melinda A. Yang

Biology Faculty Publications

Past human genetic diversity and migration between southern China and Southeast Asia have not been well characterized, in part due to poor preservation of ancient DNA in hot and humid regions. We sequenced 31 ancient genomes from southern China (Guangxi and Fujian), including two ∼12,000- to 10,000-year-old individuals representing the oldest humans sequenced from southern China. We discovered a deeply diverged East Asian ancestry in the Guangxi region that persisted until at least 6,000 years ago. We found that ∼9,000- to 6,000-year-old Guangxi populations were a mixture of local ancestry, southern ancestry previously sampled in Fujian, and deep Asian ancestry …


Evidence For Adaptive Introgression Of Exons Across A Hybrid Swarm In Deer, Emily Latch, Margaret Haines, Gordon Luikart, Stephen Amish, Seth Smith Oct 2019

Evidence For Adaptive Introgression Of Exons Across A Hybrid Swarm In Deer, Emily Latch, Margaret Haines, Gordon Luikart, Stephen Amish, Seth Smith

Biological Sciences Faculty Articles

Background: Secondary contact between closely related lineages can result in a variety of outcomes, including hybridization, depending upon the strength of reproductive barriers. By examining the extent to which different parts of the genome introgress, it is possible to infer the strength of selection and gain insight into the evolutionary trajectory of lineages. Following secondary contact approximately 8000 years ago in the Pacific Northwest, mule deer (Odocoileus hemionus hemionus) and black-tailed deer (O. h. columbianus) formed a hybrid swarm along the Cascade mountain range despite substantial differences in body size (up to two times) and habitat preference. In this study, …


Questioning The “Melting Pot”: Analysis Of Alu Inserts In Three Population Samples From Uruguay, Pedro C. Hidalgo, Patricia Mut, Elizabeth Ackermann, Gonzalo Figueiro, Monica Sans Jun 2014

Questioning The “Melting Pot”: Analysis Of Alu Inserts In Three Population Samples From Uruguay, Pedro C. Hidalgo, Patricia Mut, Elizabeth Ackermann, Gonzalo Figueiro, Monica Sans

Human Biology Open Access Pre-Prints

The way that immigrants integrate to recipient societies has been discussed for decades, mainly from the perspective of the social sciences. Uruguay, as other American countries, received different waves of European immigrants, although the details of the process of assimilation, when occurred, are unclear. In this paper, we use genetic markers to understand the process experienced by the Basques, one of the major migration waves that populated Uruguay, and its relation to other immigrants as well as to Native American and African descendants. For this purpose, we analyze the allele frequencies of ten ALU loci (A25, ACE, APOA1, B65, F13B, …


Multiple Imputation To Correct For Measurement Error In Admixture Estimates In Genetic Structured Association Testing, Miguel A. Padilla, Jamin Divers, Laura K. Vaughan, David B. Allison, Hemant K. Tiwari Jan 2009

Multiple Imputation To Correct For Measurement Error In Admixture Estimates In Genetic Structured Association Testing, Miguel A. Padilla, Jamin Divers, Laura K. Vaughan, David B. Allison, Hemant K. Tiwari

Psychology Faculty Publications

Objectives: Structured association tests ( SAT), like any statistical model, assumes that all variables are measured without error. Measurement error can bias parameter estimates and confound residual variance in linear models. It has been shown that admixture estimates can be contaminated with measurement error causing SAT models to suffer from the same afflictions. Multiple imputation (MI) is presented as a viable tool for correcting measurement error problems in SAT linear models with emphasis on correcting measurement error contaminated admixture estimates. Methods: Several MI methods are presented and compared, via simulation, in terms of controlling Type I error rates for both …