Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Tomaz Berisa"'
Autor:
Kaja Wasik, Tomaz Berisa, Joseph K. Pickrell, Jeremiah H. Li, Dana J. Fraser, Karen King, Charles Cox
Publikováno v:
BMC Genomics, Vol 22, Iss 1, Pp 1-7 (2021)
Abstract Background Low pass sequencing has been proposed as a cost-effective alternative to genotyping arrays to identify genetic variants that influence multifactorial traits in humans. For common diseases this typically has required both large sam
Externí odkaz:
https://doaj.org/article/43f26d9f2e1b443fa4b8b71ea76a7c78
Autor:
Hakhamanesh Mostafavi, Tomaz Berisa, Felix R Day, John R B Perry, Molly Przeworski, Joseph K Pickrell
Publikováno v:
PLoS Biology, Vol 15, Iss 9, p e2002458 (2017)
A number of open questions in human evolutionary genetics would become tractable if we were able to directly measure evolutionary fitness. As a step towards this goal, we developed a method to examine whether individual genetic variants, or sets of g
Externí odkaz:
https://doaj.org/article/1058f9c026d74d709d5d086803e46b72
Publikováno v:
Genome Res
Low-pass sequencing (sequencing a genome to an average depth less than 1x coverage) combined with genotype imputation has been proposed as an alternative to genotyping arrays for trait mapping and calculation of polygenic scores; however, the current
Autor:
Wasik, Kaja, Tomaz Berisa, Pickrell, Joseph K., Li, Jeremiah H., Fraser, Dana J., King, Karen, Cox, Charles
Additional file 2: Supplementary materials. Description of imputation performance using the HRC as a haplotype reference panel rather than the 1000 Genomes Phase 3 release. Figure S1. Comparison of imputation r2 across allele frequency bins for the 1
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ac33147ae4c5fdebe31abeea4cdf0c61
Autor:
Wasik, Kaja, Tomaz Berisa, Pickrell, Joseph K., Li, Jeremiah H., Fraser, Dana J., King, Karen, Cox, Charles
Additional file 1: Supplementary note. Details of the model underlying loimpute, the software used to impute the low-pass sequencing data analysed in this study.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c727991846f0f6e9a4d26eb85c4c7b8d
Autor:
Daphna Weissglas-Volkov, Regev Schweiger, Joseph K. Pickrell, Jeremiah H. Li, Ella Petter, Tal Shor, Lior Almog, Tomaz Berisa, Yoav Naveh, Bar Shahino, Malka Aker, Yaniv Erlich, Shai Carmi, Oron Navon
Finding familial relatives using DNA has multiple applications, in genetic genealogy, population genetics, and forensics. So far, most relative matching algorithms rely on detecting identity-by-descent (IBD) segments with high quality genotype data.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::17e910b15b95823e68bada7c8e641db5
https://doi.org/10.1101/2020.09.09.289322
https://doi.org/10.1101/2020.09.09.289322
Autor:
Charles J. Cox, Joseph K. Pickrell, Dana J. Fraser, Karen King, Kaja A. Wasik, Jeremiah H. Li, Tomaz Berisa
Publikováno v:
BMC Genomics, Vol 22, Iss 1, Pp 1-7 (2021)
BMC Genomics
BMC Genomics
BackgroundLow pass sequencing has been proposed as a cost-effective alternative to genotyping arrays to identify genetic variants that influence multifactorial traits in humans. For common diseases this typically has required both large sample sizes
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6c14632e9db6a4fd2dc0c26686a461aa
https://doi.org/10.1101/632141
https://doi.org/10.1101/632141
Publikováno v:
Computer Communications. 52:102-109
In this paper, we provide a comprehensive discussion focused on the motivation and benefits of providing real-time (RT) signaling mechanisms in multi-channel PONs, outlining several emerging low-latency applications such as Smart Grid, machine-to-mac
Autor:
Tomaz Berisa, Joseph K. Pickrell
Publikováno v:
Bioinformatics. 32:283-285
Summary: We present a method to identify approximately independent blocks of linkage disequilibrium in the human genome. These blocks enable automated analysis of multiple genome-wide association studies. Availability and implementation: code: http:/
Publikováno v:
Nature Genetics
Nature Genetics, Nature Publishing Group, 2016, 48 (7), pp.709-717. ⟨10.1038/ng.3570⟩
Nature Genetics, 2016, 48 (7), pp.709-717. ⟨10.1038/ng.3570⟩
Nature Genetics, Nature Publishing Group, 2016, 48 (7), pp.709-717. ⟨10.1038/ng.3570⟩
Nature Genetics, 2016, 48 (7), pp.709-717. ⟨10.1038/ng.3570⟩
We performed a scan for genetic variants associated with multiple phenotypes by comparing large genome-wide association studies (GWAS) of 42 traits or diseases. We identified 341 loci (at a false discovery rate of 10%) associated with multiple traits
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1d66696ec7789df26e3a1a344e30fd10
https://hal.archives-ouvertes.fr/hal-02122294/file/nihms-780506.pdf
https://hal.archives-ouvertes.fr/hal-02122294/file/nihms-780506.pdf