163
Views
5
CrossRef citations to date
0
Altmetric
Original Research

Assessing the Associations of Growth Differentiation Factor 15 with Rheumatic Diseases Using Genetic Data

, , , , , , & ORCID Icon show all
Pages 245-252 | Published online: 23 Mar 2021

References

  • Rose NR. Prediction and prevention of autoimmune disease in the 21st Century: a review and preview. Am J Epidemiol. 2016;183(5):403–406. doi:10.1093/aje/kwv29226888748
  • Smith DA, Germolec DR. Introduction to immunology and autoimmunity. Environ Health Perspect. 1999;107(Suppl 5):661–665. doi:10.1289/ehp.99107s566110502528
  • Wahren-Herlenius M, Dorner T. Immunopathogenic mechanisms of systemic autoimmune disease. Lancet. 2013;382(9894):819–831. doi:10.1016/S0140-6736(13)60954-X23993191
  • Bootcov MR, Bauskin AR, Valenzuela SM, et al. MIC-1, a novel macrophage inhibitory cytokine, is a divergent member of the TGF-beta superfamily. Proc Natl Acad Sci USA. 1997;94(21):11514–11519. doi:10.1073/pnas.94.21.115149326641
  • Luan HH, Wang A, Hilliard BK, et al. GDF15 is an inflammation-induced central mediator of tissue tolerance. Cell. 2019;178(5):1231–1244. doi:10.1016/j.cell.2019.07.03331402172
  • Brown DA, Breit SN, Buring J, et al. Concentration in plasma of macrophage inhibitory cytokine-1 and risk of cardiovascular events in women: a nested case-control study. Lancet. 2002;359(9324):2159–2163. doi:10.1016/S0140-6736(02)09093-112090982
  • Dostalova I, Roubicek T, Bartlova M, et al. Increased serum concentrations of macrophage inhibitory cytokine-1 in patients with obesity and type 2 diabetes mellitus: the influence of very low calorie diet. Eur J Endocrinol. 2009;161:397–404. doi:10.1530/EJE-09-041719515791
  • Li C, Wang X, Casal I, et al. Growth differentiation factor 15 is a promising diagnostic and prognostic biomarker in colorectal cancer. J Cell Mol Med. 2016;20(8):1420–1426. doi:10.1111/jcmm.1283026990020
  • Wang X, Li Y, Tian H, et al. Macrophage inhibitory cytokine 1 (MIC-1/GDF15) as a novel diagnostic serum biomarker in pancreatic ductal adenocarcinoma. BMC Cancer. 2014;14:578. doi:10.1186/1471-2407-14-57825106741
  • Brown DA, Lindmark F, Stattin P, et al. Macrophage inhibitory cytokine 1: a new prognostic marker in prostate cancer. Clin Cancer Res. 2009;15(21):6658–6664. doi:10.1158/1078-0432.CCR-08-312619843661
  • Unsicker K, Spittau B, Krieglstein K. The multiple facets of the TGF-beta family cytokine growth/differentiation factor-15/macrophage inhibitory cytokine-1. Cytokine Growth Factor Rev. 2013;24:373–384. doi:10.1016/j.cytogfr.2013.05.00323787157
  • Brown DA, Moore J, Johnen H, et al. Serum macrophage inhibitory cytokine 1 in rheumatoid arthritis: a potential marker of erosive joint destruction. Arthritis Rheum. 2007;56(3):753–764. doi:10.1002/art.2241017328047
  • Tanrikulu O, Sariyildiz MA, Batmaz I, et al. Serum GDF-15 level in rheumatoid arthritis: relationship with disease activity and subclinical atherosclerosis. Acta Reumatol Port. 2017;42:66–72.27679935
  • Choi HJ, Do KH, Park JH, et al. Early epithelial restitution by nonsteroidal anti-inflammatory drug-activated gene 1 counteracts intestinal ulcerative injuries. J Immunol. 2016;197:1415–1424. doi:10.4049/jimmunol.150178427421482
  • Burgess S, Small DS, Thompson SG. A review of instrumental variable estimators for Mendelian randomization. Stat Methods Med Res. 2017;26(5):2333–2355. doi:10.1177/096228021559757926282889
  • Burgess S, Scott RA, Timpson NJ, Davey Smith G, Thompson SG, Consortium E-I. Using published data in Mendelian randomization: a blueprint for efficient identification of causal risk factors. Eur J Epidemiol. 2015;30(7):543–552. doi:10.1007/s10654-015-0011-z25773750
  • Bentham J, Morris DL, Graham DSC, et al. Genetic association analyses implicate aberrant regulation of innate and adaptive immunity genes in the pathogenesis of systemic lupus erythematosus. Nat Genet. 2015;47(12):1457–1464. doi:10.1038/ng.343426502338
  • Hom G, Graham RR, Modrek B, et al. Association of systemic lupus erythematosus with C8orf13-BLK and ITGAM-ITGAX. N Engl J Med. 2008;358:900–909. doi:10.1056/NEJMoa070786518204098
  • Okada Y, Wu D, Trynka G, et al. Genetics of rheumatoid arthritis contributes to biology and drug discovery. Nature. 2014;506:376–381. doi:10.1038/nature1287324390342
  • de Lange KM, Moutsianas L, Lee JC, et al. Genome-wide association study implicates immune activation of multiple integrin genes in inflammatory bowel disease. Nat Genet. 2017;49:256–261. doi:10.1038/ng.376028067908
  • Ahola-Olli AV, Wurtz P, Havulinna AS, et al. Genome-wide association study identifies 27 loci influencing concentrations of circulating cytokines and growth factors. Am J Hum Genet. 2017;100:40–50. doi:10.1016/j.ajhg.2016.11.00727989323
  • Jiang J, Thalamuthu A, Ho JE, et al. A meta-analysis of genome-wide association studies of growth differentiation factor-15 concentration in blood. Front Genet. 2018;9:97. doi:10.3389/fgene.2018.0009729628937
  • Cheung CL, Tan K, Au P, Li G, Cheung B. Evaluation of GDF15 as a therapeutic target of cardiometabolic diseases in human: a Mendelian randomization study. EBioMedicine. 2019;41:85–90. doi:10.1016/j.ebiom.2019.02.02130772304
  • Palmer TM, Lawlor DA, Harbord RM, et al. Using multiple genetic variants as instrumental variables for modifiable risk factors. Stat Methods Med Res. 2012;21:223–242. doi:10.1177/096228021039445921216802
  • Park JH, Wacholder S, Gail MH, et al. Estimation of effect size distribution from genome-wide association studies and implications for future discoveries. Nat Genet. 2010;42(7):570–575. doi:10.1038/ng.61020562874
  • Palmer TM, Sterne JA, Harbord RM, et al. Instrumental variable estimation of causal risk ratios and causal odds ratios in Mendelian randomization analyses. Am J Epidemiol. 2011;173(12):1392–1403. doi:10.1093/aje/kwr02621555716
  • Burgess S, Butterworth A, Thompson SG. Mendelian randomization analysis with multiple genetic variants using summarized data. Genet Epidemiol. 2013;37:658–665. doi:10.1002/gepi.2175824114802
  • Pierce BL, Burgess S. Efficient design for Mendelian randomization studies: subsample and 2-sample instrumental variable estimators. Am J Epidemiol. 2013;178(7):1177–1184. doi:10.1093/aje/kwt08423863760
  • Greco MF, Minelli C, Sheehan NA, Thompson JR. Detecting pleiotropy in Mendelian randomisation studies with summary data and a continuous outcome. Stat Med. 2015;34:2926–2940. doi:10.1002/sim.652225950993
  • Greenland S. Quantitative methods in the review of epidemiologic literature. Epidemiol Rev. 1987;9:1–30. doi:10.1093/oxfordjournals.epirev.a0362983678409
  • Burgess S, Bowden J, Fall T, Ingelsson E, Thompson SG. Sensitivity analyses for robust causal inference from Mendelian randomization analyses with multiple genetic variants. Epidemiology. 2017;28(1):30–42. doi:10.1097/EDE.000000000000055927749700
  • Bowden J, Davey Smith G, Burgess S. Mendelian randomization with invalid instruments: effect estimation and bias detection through Egger regression. Int J Epidemiol. 2015;44(2):512–525. doi:10.1093/ije/dyv08026050253
  • Verbanck M, Chen CY, Neale B, Do R. Detection of widespread horizontal pleiotropy in causal relationships inferred from Mendelian randomization between complex traits and diseases. Nat Genet. 2018;50:693–698. doi:10.1038/s41588-018-0099-729686387
  • Mimeault M, Batra SK. Divergent molecular mechanisms underlying the pleiotropic functions of macrophage inhibitory cytokine-1 in cancer. J Cell Physiol. 2010;224(3):626–635. doi:10.1002/jcp.2219620578239
  • Breit SN, Johnen H, Cook AD, et al. The TGF-beta superfamily cytokine, MIC-1/GDF15: a pleotrophic cytokine with roles in inflammation, cancer and metabolism. Growth Factors. 2011;29(5):187–195. doi:10.3109/08977194.2011.60713721831009
  • Ago T, Sadoshima J. GDF15, a cardioprotective TGF-beta superfamily protein. Circ Res. 2006;98(3):294–297. doi:10.1161/01.RES.0000207919.83894.9d16484622
  • GTEx Consortium. The Genotype-Tissue Expression (GTEx) project. Nat Genet. 2013;45(6):580–585. doi:10.1038/ng.265323715323
  • Ward LD, Kellis M. HaploReg v4: systematic mining of putative causal variants, cell types, regulators and target genes for human complex traits and disease. Nucleic Acids Res. 2016;44(D1):D877–81. doi:10.1093/nar/gkv134026657631
  • Ho JE, Mahajan A, Chen MH, et al. Clinical and genetic correlates of growth differentiation factor 15 in the community. Clin Chem. 2012;58:1582–1591. doi:10.1373/clinchem.2012.19032222997280