Identifying lineage effects when controlling for population structure improves power in bacterial association studies.

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作者： Sarah G,Earle ^[1] ; Chieh-Hsi,Wu ^[1] ; Jane,Charlesworth ^[1] ; Nicole,Stoesser ^[1] ; N Claire,Gordon ^[1] ; Timothy M,Walker ^[1] ; Chris C A,Spencer ^[2] ; Zamin,Iqbal ^[2] ; David A,Clifton ^[3] ; Katie L,Hopkins ^[4] ; Neil,Woodford ^[4] ; E Grace,Smith ^[5] ; Nazir,Ismail ^[6] ; Martin J,Llewelyn ^[7] ; Tim E,Peto ^[8] ; Derrick W,Crook ^[1] ; Gil,McVean ^[1] ; A Sarah,Walker ^[2] ; Daniel J,Wilson ^[9]

作者单位： Nuffield Department of Medicine, University of Oxford, John Radcliffe Hospital, Oxford OX3 9DU, UK. ^[1] Wellcome Trust Centre for Human Genetics, University of Oxford, Roosevelt Drive, Oxford OX3 7BN, UK. ^[2] Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford OX3 7DQ, UK. ^[3] Antimicrobial Resistance and Healthcare Associated Infections Reference Unit, Public Health England, London NW9 5EQ, UK. ^[4] Public Health England, West Midlands Public Health Laboratory, Heartlands Hospital, Birmingham B9 5SS, UK. ^[5] Centre for Tuberculosis, National Institute for Communicable Diseases, Johannesburg 2131 South Africa. ^[6] Department of Medical Microbiology, University of Pretoria, Pretoria, South Africa. ^[7] Department of Infectious Diseases and Microbiology, Royal Sussex County Hospital, Brighton BN2 5BE, UK. ^[8] The Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford OX3 7FZ, UK. ^[9]

主题词抗药性, 细菌(Drug Resistance, Bacterial);基因, 细菌(Genes, Bacterial);遗传变异(Genetic Variation);全基因组关联研究(Genome-Wide Association Study);革兰氏阴性菌(Gram-Negative Bacteria);革兰氏阳性菌(Gram-Positive Bacteria);外显率(Penetrance);重组, 遗传(Recombination, Genetic);遗传选择(Selection, Genetic)

DOI 10.1038/nmicrobiol.2016.41

PMID 27572646

发布时间 2023-05-02

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Nature microbiology

2016年1卷

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Identifying lineage effects when controlling for population structure improves power in bacterial association studies.

Nature microbiology

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Identifying lineage effects when controlling for population structure improves power in bacterial association studies.

Nature microbiology

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Nature microbiology

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