Cindy Boer
250 | Chapter 5.2 47. Edgar, R. C. UPARSE: highly accurate OTU sequences from microbial amplicon reads. Nat. Methods 10, 996–998 (2013). 48. Quast, C. et al. The SILVA ribosomal RNA gene database project: improved data processing and web-based tools. Nucleic Acids Res. 41, D590–D596 (2012). 49. Bellamy, N. & Buchanan, W. W. A preliminary evaluation of the dimensionality and clinical im- portance of pain and disability in osteoarthritis of the hip and knee. Clin. Rheumatol. 5, 231–241 (1986). 50. Kellgren, J. H. & Lawrence, J. S. Radiological assessment of osteo-arthrosis. Ann. Rheum. Dis. 16, 494–502 (1957). 51. Peters, M. J. et al. Associations between joint effusion in the knee and gene expression levels in the circulation: a meta-analysis. F1000Research 5, 109 (2016). 52. Scholtens, S. et al. Cohort Profile: LifeLines, a three-generation cohort study and biobank. Int. J. Epidemiol. 44, 1172–1180 (2015). 53. Tigchelaar, E. F. et al. Cohort profile: LifeLines DEEP, a prospective, general population cohort study in the northern Netherlands: study design and baseline characteristics. BMJ Open 5, e006772 (2015). 54. Fu, J. et al. The gut microbiome contributes to a substantial proportion of the variation in blood lipids. Circ. Res. 117, 817–824 (2015). 55. Edgar, R. C. Search and clustering orders of magnitude faster than BLAST. Bioinformatics 26, 2460– 2461 (2010). 56. DeSantis, T. Z. et al. Greengenes, a chimera-checked 16S rRNA gene database and workbench compatible with ARB. Appl. Environ. Microbiol. 72, 5069–5072 (2006). 57. Clifford, R. J. et al. Detection of bacterial 16S rRNA and identification of four clinically important bacteria by real-time PCR. PLoS ONE 7, e48558 (2012). 58. Větrovský, T. & Baldrian, P. The variability of the 16S rRNA gene in bacterial genomes and its conse- quences for bacterial community analyses. PLoS ONE 8, e57923 (2013). 59. Team, R. R: A Language and Environment for Statistical Computing. (2013). 60. Morgan, X. C. et al. Dysfunction of the intestinal microbiome in inflammatory bowel disease and treatment. Genome Biol. 13, R79 (2012). 61. Willer, C. J., Li, Y. & Abecasis, G. R. METAL: fast and efficient meta-analysis of genomewide associa- tion scans. Bioinformatics 26, 2190–2191 (2010).
Made with FlippingBook
RkJQdWJsaXNoZXIy ODAyMDc0