Efficient pedigree recording for fast population genetics simulation.

Autor: Jerome Kelleher, Kevin R Thornton, Jaime Ashander, Peter L Ralph

Publikováno v: PLoS Computational Biology, Vol 14, Iss 11, p e1006581 (2018)

In this paper we describe how to efficiently record the entire genetic history of a population in forwards-time, individual-based population genetics simulations with arbitrary breeding models, population structure and demography. This approach drama

Externí odkaz: https://doaj.org/article/b561a82c45114a1585dc47a75dcd2bc7

A Model of Compound Heterozygous, Loss-of-Function Alleles Is Broadly Consistent with Observations from Complex-Disease GWAS Datasets.

Autor: Jaleal S Sanjak, Anthony D Long, Kevin R Thornton

Publikováno v: PLoS Genetics, Vol 13, Iss 1, p e1006573 (2017)

The genetic component of complex disease risk in humans remains largely unexplained. A corollary is that the allelic spectrum of genetic variants contributing to complex disease risk is unknown. Theoretical models that relate population genetic proce

Externí odkaz: https://doaj.org/article/422463636ea944f2ad3ff35b7239a596

Properties and modeling of GWAS when complex disease risk is due to non-complementing, deleterious mutations in genes of large effect.

Autor: Kevin R Thornton, Andrew J Foran, Anthony D Long

Publikováno v: PLoS Genetics, Vol 9, Iss 2, p e1003258 (2013)

Current genome-wide association studies (GWAS) have high power to detect intermediate frequency SNPs making modest contributions to complex disease, but they are underpowered to detect rare alleles of large effect (RALE). This has led to speculation

Externí odkaz: https://doaj.org/article/096d98de528b409983f08cc1330b7792

A new approach for using genome scans to detect recent positive selection in the human genome.

Autor: Kun Tang, Kevin R Thornton, Mark Stoneking

Publikováno v: PLoS Biology, Vol 5, Iss 7, p e171 (2007)

Genome-wide scanning for signals of recent positive selection is essential for a comprehensive and systematic understanding of human adaptation. Here, we present a genomic survey of recent local selective sweeps, especially aimed at those nearly or r

Externí odkaz: https://doaj.org/article/2d9bedc0a017435aaec7c6f683ee65fa

Demes: a standard format for demographic models

Autor: Graham Gower, Aaron P. Ragsdale, Gertjan Bisschop, Ryan N. Gutenkunst, Matthew Hartfield, Ekaterina Noskova, Stephan Schiffels, Travis J. Struck, Jerome Kelleher, Kevin R. Thornton

Publikováno v: Genetics, vol 222, iss 3
Gower, G, Ragsdale, A P, Bisschop, G, Gutenkunst, R N, Hartfield, M, Noskova, E, Schiffels, S, Struck, T J, Kelleher, J & Thornton, K R 2022, ' Demes : a standard format for demographic models ', Genetics, vol. 222, no. 3, iyac131 . https://doi.org/10.1093/genetics/iyac131
Genetics
Gower, G, Ragsdale, A P, Gutenkunst, R N, Hartfield, M, Noskova, E, Struck, T J, Kelleher, J & Thornton, K R 2022, ' Demes : A standard format for demographic models ', Genetics, vol. 222, no. 3, iyac131 . https://doi.org/10.1093/genetics/iyac131

Understanding the demographic history of populations is a key goal in population genetics, and with improving methods and data, ever more complex models are being proposed and tested. Demographic models of current interest typically consist of a set

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7f86bafdd942c25c10dd2acbe7562d47
https://doi.org/10.1093/genetics/iyac131