Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Brendan K Bulik-Sullivan"'
Autor:
Po-Ru Loh, Gaurav Bhatia, Alexander Gusev, Hilary K Finucane, Brendan K Bulik-Sullivan, Samuela J Pollack, Schizophrenia Working Group Psychiatric Genomics Consortium, Teresa R de Candia, Sang Hong Lee, Naomi R Wray, Kenneth S Kendler, Michael C O'Donovan, Benjamin M Neale, Nick Patterson, Alkes L Price
Heritability analyses of GWAS cohorts have yielded important insights into complex disease architecture, and increasing sample sizes hold the promise of further discoveries. Here, we analyze the genetic architecture of schizophrenia in 49,806 samples
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4ea58352b3b4fda215d6752ea1b7cf5c
Publikováno v:
Nature Genetics. 44:113-113
Genome-wide association studies (GWAS) of complex human traits have become a major approach in human genetics. Taken together, GWAS are arguably the largest biological investigations of humans ever conducted. The number of people genotyped with a GWA
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::be553977f6832168c74622a170fca9bf
https://doi.org/10.1038/ng.1052
https://doi.org/10.1038/ng.1052
Autor:
Jie Zheng, Erzurumluoglu, A. Mesut, Elsworth, Benjamin L., Kemp, John P., Howe, Laurence, Haycock, Philip C., Hemani, Gibran, Tansey, Katherine, Laurin, Charles, Pourcain, Beate St., Warrington, Nicole M., Finucane, Hilary K., Price, Alkes L., Bulik-Sullivan, Brendan K., Anttila, Verneri, Paternoster, Lavinia, Gaunt, Tom R., Evans, David M., Neale, Benjamin M.
Publikováno v:
Bioinformatics; 1/15/2017, Vol. 33 Issue 2, p272-279, 8p
Autor:
Hill WD; Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK. david.hill@ed.ac.uk.; Department of Psychology, University of Edinburgh, Edinburgh, UK. david.hill@ed.ac.uk., Marioni RE; Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK.; Department of Psychology, University of Edinburgh, Edinburgh, UK.; Queensland Brain Institute, The University of Queensland, Brisbane, 4072, QLD, Australia., Maghzian O; Department of Economics, Harvard University, Littauer Center, 1805 Cambridge Street Cambridge, Cambridge, MA, 02138, USA., Ritchie SJ; Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK.; Department of Psychology, University of Edinburgh, Edinburgh, UK., Hagenaars SP; Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK.; MRC Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, King's College London, Camberwell,, London, SE5 8AF, UK., McIntosh AM; Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK.; Division of Psychiatry, University of Edinburgh, Edinburgh, EH8 9YL, UK., Gale CR; Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK.; Department of Psychology, University of Edinburgh, Edinburgh, UK.; MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK., Davies G; Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK.; Department of Psychology, University of Edinburgh, Edinburgh, UK., Deary IJ; Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK.; Department of Psychology, University of Edinburgh, Edinburgh, UK.
Publikováno v:
Molecular psychiatry [Mol Psychiatry] 2019 Feb; Vol. 24 (2), pp. 169-181. Date of Electronic Publication: 2018 Jan 11.
Autor:
Ka-Chun Wong
This contributed volume explores the emerging intersection between big data analytics and genomics. Recent sequencing technologies have enabled high-throughput sequencing data generation for genomics resulting in several international projects which