Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Naveen K. Kadri"'
Autor:
Marie-Pierre Sanchez, Thierry Tribout, Naveen K. Kadri, Praveen K. Chitneedi, Steffen Maak, Chris Hozé, Mekki Boussaha, Pascal Croiseau, Romain Philippe, Mirjam Spengeler, Christa Kühn, Yining Wang, Changxi Li, Graham Plastow, Hubert Pausch, Didier Boichard
Publikováno v:
Genetics Selection Evolution, Vol 55, Iss 1, Pp 1-19 (2023)
Abstract Background Combining the results of within-population genome-wide association studies (GWAS) based on whole-genome sequences into a single meta-analysis (MA) is an accurate and powerful method for identifying variants associated with complex
Externí odkaz:
https://doaj.org/article/6fceebaa353c4665bc69f491f5e71065
Autor:
Haige Han, Beatrice A. McGivney, Lucy Allen, Dongyi Bai, Leanne R. Corduff, Gantulga Davaakhuu, Jargalsaikhan Davaasambuu, Dulguun Dorjgotov, Thomas J. Hall, Andrew J. Hemmings, Amy R. Holtby, Tuyatsetseg Jambal, Badarch Jargalsaikhan, Uyasakh Jargalsaikhan, Naveen K. Kadri, David E. MacHugh, Hubert Pausch, Carol Readhead, David Warburton, Manglai Dugarjaviin, Emmeline W. Hill
Publikováno v:
Communications Biology, Vol 5, Iss 1, Pp 1-16 (2022)
A genome-wide analysis in galloping racehorse breeds identifies protein-altering genetic variants in a core set of genes that appear to determine attributes for racing, including muscle, neurobiological, and metabolic advantages.
Externí odkaz:
https://doaj.org/article/7fbc0a34695b4f7c89fb29f0972dd8b3
Autor:
Marie-Pierre Sanchez, Thierry Tribout, Naveen K. Kadri, Praveen K. Chitneedi, Steffen Maak, Chris Hozé, Mekki Boussaha, Pascal Croiseau, Romain Philippe, Mirjam Spengeler, Christa Kühn, Yining Wang, Changxi Li, Graham Plastow, Hubert Pausch, Didier Boichard
Publikováno v:
Genetics Selection Evolution, Vol 55, Iss 1, Pp 1-1 (2023)
Externí odkaz:
https://doaj.org/article/6c616793300a4c99983660479259616b
Publikováno v:
PLoS ONE, Vol 9, Iss 3, p e88926 (2014)
Population structure is known to cause false-positive detection in association studies. We compared the power, precision, and type-I error rates of various association models in analyses of a simulated dataset with structure at the population (admixt
Externí odkaz:
https://doaj.org/article/69434a59122e4763bfde2328a1bd75f6