Cindy Boer

Cartilage Thickness and Hip Osteoarthritis | 89 2.1 References 1. Castaño Betancourt MC, Cailotto F, Kerkhof HJ, Cornelis FMF, Doherty SA, Hart DJ, et al. Ge- nome-wide association and functional studies identify the DOT1L gene to be involved in carti- lage thickness and hip osteoarthritis. Proc Natl Acad Sci U S A. 2012;109: 8218–23. doi: 10.1073/ pnas.1119899109 2. Consortium A, Collaborators A. Identification of new susceptibility loci for osteoarthritis (arcO- GEN): a genome-wide association study. Lancet. Elsevier Ltd; 2012;380: 815–23. doi: 10.1016/ S0140-6736(12)60681-3 3. Kathiresan S, Voight BF, Purcell S, Musunuru K, Ardissino D, Mannucci PM, et al. Genome-wide association of early-onset myocardial infarction with single nucleotide polymorphisms and copy number variants. Nat Genet. 2009;41: 334–341. doi: 10.1038/ng.327 4. Kerkhof HJM, Meulenbelt I, Akune T, Arden NK, Aromaa A, Bierma-Zeinstra SMA, et al. Recom- mendations for standardization and phenotype definitions in genetic studies of osteoarthritis: the TREAT-OA consortium. Osteoarthritis Cartilage. 2011;19: 254–64. doi: 10.1016/j.joca.2010.10.027 5. Panoutsopoulou K, Southam L, Elliott KS, Wrayner N, Zhai G, Beazley C, et al. Insights into the ge- netic architecture of osteoarthritis from stage 1 of the arcOGEN study. Ann Rheum Dis. 2011;70: 864–867. doi: 10.1136/ard.2010.141473 6. Castaño-Betancourt MC, Rivadeneira F, Bierma-Zeinstra S, Kerkhof HJM, Hofman A, Uitterlinden AG, et al. Bone parameters across different types of hip osteoarthritis and their relationship to osteoporotic fracture risk. Arthritis Rheum. 2013;65: 693–700. doi: 10.1002/art.37792 [PubMed] 7. Ingvarsson T, Hägglund G, Lindberg H, Lohmander LS. Assessment of primary hip osteoarthritis: comparison of radiographic methods using colon radiographs. Ann Rheum Dis. 2000;59: 650–3. 8. Evangelou E, Valdes AM, Castano-Betancourt MC, Doherty M, Doherty S, Esko T, et al. The DOT1L rs12982744 polymorphism is associated with osteoarthritis of the hip with genome-wide statistical significance in males. Ann Rheum Dis. 2013;72: 1264–5. doi: 10.1136/annrheumdis-2012-203182 9. Pruim RJ, Welch RP, Sanna S, Teslovich TM, Chines PS, Gliedt TP, et al. LocusZoom: Regional vi- sualization of genome-wide association scan results. Bioinformatics. 2010;26: 2336–2337. doi: 10.1093/bioinformatics/btq419 10. Estrada K, Styrkarsdottir U, Evangelou E, Hsu Y-H, Duncan EL, Ntzani EE, et al. Genome-wide me- ta-analysis identifies 56 bone mineral density loci and reveals 14 loci associated with risk of frac- ture. Nat Genet. 2012;44: 491–501. doi: 10.1038/ng.2249 11. Wood AR, Esko T, Yang J, Vedantam S, Pers TH, Gustafsson S, et al. Defining the role of common variation in the genomic and biological architecture of adult human height. Nat Genet. 2014;46: 1173–86. doi: 10.1038/ng.3097 12. Nakajima M, Takahashi A, Tsuji T, Karasugi T, Baba H, Uchida K, et al. A genome-wide associa- tion study identifies susceptibility loci for ossification of the posterior longitudinal ligament of the spine. Nat Genet. Nature Publishing Group; 2014;46: 1012–6. doi: 10.1038/ng.3045 13. Berndt SI, Gustafsson S, Mägi R, Ganna A, Wheeler E, Feitosa MF, et al. Genome-wide meta-analy- sis identifies 11 new loci for anthropometric traits and provides insights into genetic architecture. Nat Genet. 2013;45: 501–12. doi: 10.1038/ng.2606 14. Lango Allen H, Estrada K, Lettre G, Berndt SI, Weedon MN, Rivadeneira F, et al. Hundreds of vari- ants clustered in genomic loci and biological pathways affect human height. Nature. Nature Pub- lishing Group; 2010;467: 832–8. doi: 10.1038/nature09410 15. Yu B, Zheng Y, Alexander D, Morrison AC, Coresh J, Boerwinkle E. Genetic determinants influenc- ing human serum metabolome among African Americans. PLoS Genet. 2014;10: e1004212 doi: 10.1371/journal.pgen.1004212 16. Tang X-F, Zhang Z, Hu D-Y, Xu A-E, Zhou H-S, Sun L-D, et al. Association analyses identify three susceptibility Loci for vitiligo in the Chinese Han population. J Invest Dermatol. 2013;133: 403–10. doi: 10.1038/jid.2012.320 17. Zhernakova A, Stahl EA, Trynka G, Raychaudhuri S, Festen EA, Franke L, et al. Meta-analysis of ge-

RkJQdWJsaXNoZXIy ODAyMDc0