Zum Hauptinhalt springen

Multitrait analysis of glaucoma identifies new risk loci and enables polygenic prediction of disease susceptibility and progression.

Craig, JE ; Han, X ; et al.
In: Nature genetics, Jg. 52 (2020-02-01), Heft 2, S. 160-166
Online academicJournal

Titel:
Multitrait analysis of glaucoma identifies new risk loci and enables polygenic prediction of disease susceptibility and progression.
Autor/in / Beteiligte Person: Craig, JE ; Han, X ; Qassim, A ; Hassall, M ; Cooke Bailey, JN ; Kinzy, TG ; Khawaja, AP ; An, J ; Marshall, H ; Gharahkhani, P ; Igo RP Jr ; Graham, SL ; Healey, PR ; Ong, JS ; Zhou, T ; Siggs, O ; Law, MH ; Souzeau, E ; Ridge, B ; Hysi, PG ; Burdon, KP ; Mills, RA ; Landers, J ; Ruddle, JB ; Agar, A ; Galanopoulos, A ; White, AJR ; Willoughby, CE ; Andrew, NH ; Best, S ; Vincent, AL ; Goldberg, I ; Radford-Smith, G ; Martin, NG ; Montgomery, GW ; Vitart, V ; Hoehn, R ; Wojciechowski, R ; Jonas, JB ; Aung, T ; Pasquale, LR ; Cree, AJ ; Sivaprasad, S ; Vallabh, NA ; Viswanathan, AC ; Pasutto, F ; Haines, JL ; Klaver, CCW ; van Duijn CM ; Casson, RJ ; Foster, PJ ; Khaw, PT ; Hammond, CJ ; Mackey, DA ; Mitchell, P ; Lotery, AJ ; Wiggs, JL ; Hewitt, AW ; MacGregor, S
Link:
Zeitschrift: Nature genetics, Jg. 52 (2020-02-01), Heft 2, S. 160-166
Veröffentlichung: New York, NY : Nature Pub. Co., c1992-, 2020
Medientyp: academicJournal
ISSN: 1546-1718 (electronic)
DOI: 10.1038/s41588-019-0556-y
Schlagwort:
  • Australia
  • Case-Control Studies
  • Cytoskeletal Proteins genetics
  • Disease Progression
  • Eye Proteins genetics
  • Genetic Predisposition to Disease
  • Genome-Wide Association Study
  • Glaucoma etiology
  • Glaucoma surgery
  • Glycoproteins genetics
  • Humans
  • Intraocular Pressure genetics
  • Multifactorial Inheritance
  • Odds Ratio
  • Optic Nerve physiology
  • Penetrance
  • Trabeculectomy adverse effects
  • United Kingdom
  • United States
  • Glaucoma genetics
  • Polymorphism, Single Nucleotide
Sonstiges:
  • Nachgewiesen in: MEDLINE
  • Sprachen: English
  • Corporate Authors: NEIGHBORHOOD consortium ; UK Biobank Eye and Vision Consortium
  • Publication Type: Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't
  • Language: English
  • [Nat Genet] 2020 Feb; Vol. 52 (2), pp. 160-166. <i>Date of Electronic Publication: </i>2020 Jan 20.
  • MeSH Terms: Polymorphism, Single Nucleotide* ; Glaucoma / *genetics ; Australia ; Case-Control Studies ; Cytoskeletal Proteins / genetics ; Disease Progression ; Eye Proteins / genetics ; Genetic Predisposition to Disease ; Genome-Wide Association Study ; Glaucoma / etiology ; Glaucoma / surgery ; Glycoproteins / genetics ; Humans ; Intraocular Pressure / genetics ; Multifactorial Inheritance ; Odds Ratio ; Optic Nerve / physiology ; Penetrance ; Trabeculectomy / adverse effects ; United Kingdom ; United States
  • References: Weinreb, R. N. & Khaw, P. T. Primary open-angle glaucoma. Lancet 363, 1711–1720 (2004). (PMID: 10.1016/S0140-6736(04)16257-0) ; Tham, Y.-C. et al. Global prevalence of glaucoma and projections of glaucoma burden through 2040: a systematic review and meta-analysis. Ophthalmology 121, 2081–2090 (2014). (PMID: 10.1016/j.ophtha.2014.05.013) ; Quigley, H. A. & Broman, A. T. The number of people with glaucoma worldwide in 2010 and 2020. Br. J. Ophthalmol. 90, 262–267 (2006). (PMID: 10.1136/bjo.2005.08122418569631856963) ; Chan, M. P. Y. et al. Glaucoma and intraocular pressure in EPIC-Norfolk Eye Study: cross sectional study. BMJ 358, j3889 (2017). (PMID: 10.1136/bmj.j388955966995596699) ; Mitchell, P., Smith, W., Attebo, K. & Healey, P. R. Prevalence of open-angle glaucoma in Australia. The Blue Mountains Eye Study. Ophthalmology 103, 1661–1669 (1996). (PMID: 10.1016/S0161-6420(96)30449-1) ; Fraser, S., Bunce, C. & Wormald, R. Risk factors for late presentation in chronic glaucoma. Invest. Ophthalmol. Vis. Sci. 40, 2251–2257 (1999). (PMID: 10476790) ; Burr, J. M. et al. The clinical effectiveness and cost-effectiveness of screening for open angle glaucoma: a systematic review and economic evaluation. Health Technol. Assess. 11, https://doi.org/10.3310/hta11410 (2007). ; Wang, K., Gaitsch, H., Poon, H., Cox, N. J. & Rzhetsky, A. Classification of common human diseases derived from shared genetic and environmental determinants. Nat. Genet. 49, 1319–1325 (2017). (PMID: 10.1038/ng.393155773635577363) ; Sanfilippo, P. G., Hewitt, A. W., Hammond, C. J. & Mackey, D. A. The heritability of ocular traits. Surv. Ophthalmol. 55, 561–583 (2010). (PMID: 10.1016/j.survophthal.2010.07.003) ; Choquet, H. et al. A multiethnic genome-wide association study of primary open-angle glaucoma identifies novel risk loci. Nat. Commun. 9, 2278 (2018). (PMID: 10.1038/s41467-018-04555-459958375995837) ; Leske, M. C., Heijl, A., Hyman, L., Bengtsson, B. & Komaroff, E. Factors for progression and glaucoma treatment: the Early Manifest Glaucoma Trial. Curr. Opin. Ophthalmol. 15, 102–106 (2004). (PMID: 10.1097/00055735-200404000-00008) ; Garway-Heath, D. F. et al. Latanoprost for open-angle glaucoma (UKGTS): a randomised, multicentre, placebo-controlled trial. Lancet 385, 1295–1304 (2015). (PMID: 10.1016/S0140-6736(14)62111-5) ; Turley, P. et al. Multi-trait analysis of genome-wide association summary statistics using MTAG. Nat. Genet. 50, 229–237 (2018). (PMID: 10.1038/s41588-017-0009-458055935805593) ; MacGregor, S. et al. Genome-wide association study of intraocular pressure uncovers new pathways to glaucoma. Nat. Genet. 50, 1067–1071 (2018). (PMID: 10.1038/s41588-018-0176-y) ; Wu, Y., Zheng, Z., Visscher, P. M. & Yang, J. Quantifying the mapping precision of genome-wide association studies using whole-genome sequencing data. Genome Biol. 18, 86 (2017). (PMID: 10.1186/s13059-017-1216-02850627728506277) ; Huang, L. et al. Genome-wide analysis identified 17 new loci influencing intraocular pressure in Chinese population. Sci. China Life Sci. 62, 153–164 (2019). (PMID: 10.1007/s11427-018-9430-2) ; Kuchenbaecker, K. B. et al. Evaluation of polygenic risk scores for breast and ovarian cancer risk prediction in BRCA1 and BRCA2 mutation carriers. J. Natl. Cancer Inst. 109, djw302 (2017). (PMID: 10.1093/jnci/djw302) ; Lecarpentier, J. et al. Prediction of breast and prostate cancer risks in male BRCA1 and BRCA2 mutation carriers using polygenic risk scores. J. Clin. Oncol. 35, 2240–2250 (2017). (PMID: 10.1200/JCO.2016.69.493555013595501359) ; Hewitt, A. W., Mackey, D. A. & Craig, J. E. Myocilin allele-specific glaucoma phenotype database. Hum. Mutat. 29, 207–211 (2008). (PMID: 10.1002/humu.206341796612517966125) ; Han, X. et al. Myocilin gene Gln368Ter variant penetrance and association with glaucoma in population-based and registry-based studies. JAMA Ophthalmol. 137, 28–35 (2019). (PMID: 10.1001/jamaophthalmol.2018.4477) ; Gharahkhani, P. et al. Accurate imputation-based screening of Gln368Ter myocilin variant in primary open-angle glaucoma. Invest. Ophthalmol. Vis. Sci. 56, 5087–5093 (2015). (PMID: 10.1167/iovs.15-1730545256744525674) ; Na, J. H. et al. Detection of glaucoma progression by assessment of segmented macular thickness data obtained using spectral domain optical coherence tomography. Invest. Ophthalmol. Vis. Sci. 53, 3817–3826 (2012). (PMID: 10.1167/iovs.11-9369) ; Cheng, C.-Y. et al. Nine loci for ocular axial length identified through genome-wide association studies, including shared loci with refractive error. Am. J. Hum. Genet. 93, 264–277 (2013). (PMID: 10.1016/j.ajhg.2013.06.01637727473772747) ; Pickrell, J. K. et al. Detection and interpretation of shared genetic influences on 42 human traits. Nat. Genet. 48, 709–717 (2016). (PMID: 10.1038/ng.357052078015207801) ; Verhoeven, V. J. M. et al. Genome-wide meta-analyses of multiancestry cohorts identify multiple new susceptibility loci for refractive error and myopia. Nat. Genet. 45, 314–318 (2013). (PMID: 10.1038/ng.255437405683740568) ; Lopes, M. C. et al. Identification of a candidate gene for astigmatism. Invest. Ophthalmol. Vis. Sci. 54, 1260–1267 (2013). (PMID: 10.1167/iovs.12-1046335760513576051) ; King, R. et al. Genomic locus modulating corneal thickness in the mouse identifies POU6F2 as a potential risk of developing glaucoma. PLoS Genet. 14, e1007145 (2018). (PMID: 10.1371/journal.pgen.100714557848895784889) ; Khawaja, A. P. et al. Genome-wide analyses identify 68 new loci associated with intraocular pressure and improve risk prediction for primary open-angle glaucoma. Nat. Genet. 50, 778–782 (2018). (PMID: 10.1038/s41588-018-0126-859859435985943) ; Gao, X. R., Huang, H., Nannini, D. R., Fan, F. & Kim, H. Genome-wide association analyses identify new loci influencing intraocular pressure. Hum. Mol. Genet. 27, 2205–2213 (2018). (PMID: 10.1093/hmg/ddy11159857215985721) ; Khera, A. V. et al. Genome-wide polygenic scores for common diseases identify individuals with risk equivalent to monogenic mutations. Nat. Genet. 50, 1219–1224 (2018). (PMID: 10.1038/s41588-018-0183-z61284086128408) ; Dudbridge, F. Power and predictive accuracy of polygenic risk scores. PLoS Genet. 9, e1003348 (2013). (PMID: 10.1371/journal.pgen.10033482355527423555274) ; Bycroft, C. et al. The UK Biobank resource with deep phenotyping and genomic data. Nature 562, 203–209 (2018). (PMID: 10.1038/s41586-018-0579-z67869756786975) ; Bengtsson, B. The variation and covariation of cup and disc diameters. Acta Ophthalmol. (Copenh.) 54, 804–818 (1976). (PMID: 10.1111/j.1755-3768.1976.tb01801.x) ; Han, X. et al. Genome-wide association analysis of 95,549 individuals identifies novel loci and genes influencing optic disc morphology. Hum. Mol. Genet. https://doi.org/10.1093/hmg/ddz193 (2019). ; Springelkamp, H. et al. New insights into the genetics of primary open-angle glaucoma based on meta-analyses of intraocular pressure and optic disc characteristics. Hum. Mol. Genet. 26, 438–453 (2017). (PMID: 59686325968632) ; Souzeau, E. et al. Australian and New Zealand Registry of Advanced Glaucoma: methodology and recruitment. Clin. Exp. Ophthalmol. 40, 569–575 (2012). (PMID: 10.1111/j.1442-9071.2011.02742.x) ; Gharahkhani, P. et al. Common variants near ABCA1, AFAP1 and GMDS confer risk of primary open-angle glaucoma. Nat. Genet. 46, 1120–1125 (2014). (PMID: 10.1038/ng.307941773274177327) ; Olsen, C. M. et al. Cohort profile: the QSkin Sun and Health Study. Int. J. Epidemiol. 41, 929–929i (2012). (PMID: 10.1093/ije/dys1072293364422933644) ; Wiggs, J. L. et al. The NEIGHBOR consortium primary open-angle glaucoma genome-wide association study: rationale, study design, and clinical variables. J. Glaucoma 22, 517–525 (2013). (PMID: 10.1097/IJG.0b013e31824d4fd82282800422828004) ; Kwon, Y. H., Fingert, J. H., Kuehn, M. H. & Alward, W. L. M. Primary open-angle glaucoma. N. Engl. J. Med. 360, 1113–1124 (2009). (PMID: 10.1056/NEJMra080463037003993700399) ; Weinreb, R. N., Garway-Heath, D. F., Leung, C., Medeiros, F. A. & Liebmann, J. Diagnosis of Primary Open Angle Glaucoma: WGA consensus series—10 (Kugler Publications, 2017). ; Loh, P.-R. et al. Efficient Bayesian mixed-model analysis increases association power in large cohorts. Nat. Genet. 47, 284–290 (2015). (PMID: 10.1038/ng.319043422974342297) ; Willer, C. J., Li, Y. & Abecasis, G. R. METAL: fast and efficient meta-analysis of genomewide association scans. Bioinformatics 26, 2190–2191 (2010). (PMID: 10.1093/bioinformatics/btq34029228872922887) ; Purcell, S. et al. PLINK: a tool set for whole-genome association and population-based linkage analyses. Am. J. Hum. Genet. 81, 559–575 (2007). (PMID: 10.1086/51979519508381950838) ; Yang, J. et al. Conditional and joint multiple-SNP analysis of GWAS summary statistics identifies additional variants influencing complex traits. Nat. Genet. 44, 369–375 (2012). (PMID: 10.1038/ng.221335931583593158) ; de Leeuw, C. A., Mooij, J. M., Heskes, T. & Posthuma, D. MAGMA: generalized gene-set analysis of GWAS data. PLoS Comput. Biol. 11, e1004219 (2015). (PMID: 10.1371/journal.pcbi.100421944016574401657) ; Watanabe, K., Taskesen, E., van Bochoven, A. & Posthuma, D. Functional mapping and annotation of genetic associations with FUMA. Nat. Commun. 8, 1826 (2017). (PMID: 10.1038/s41467-017-01261-557056985705698) ; Vilhjálmsson, B. J. et al. Modeling linkage disequilibrium increases accuracy of polygenic risk scores. Am. J. Hum. Genet. 97, 576–592 (2015). (PMID: 10.1016/j.ajhg.2015.09.00145969164596916) ; Bulik-Sullivan, B. et al. An atlas of genetic correlations across human diseases and traits. Nat. Genet. 47, 1236–1241 (2015). (PMID: 10.1038/ng.340647973294797329) ; Robin, X. et al. pROC: an open-source package for R and S+ to analyze and compare ROC curves. BMC Bioinformatics 12, 77 (2011). (PMID: 10.1186/1471-2105-12-7730689753068975) ; R Core Team. R: A Language and Environment for Statistical Computing (R Foundation for Statistical Computing, 2017).
  • Grant Information: MC_PC_12028 United Kingdom MRC_ Medical Research Council; MC_PC_17228 United Kingdom MRC_ Medical Research Council; U01 HG004728 United States HG NHGRI NIH HHS; R21 EY028671 United States EY NEI NIH HHS; MR/T040912/1 United Kingdom MRC_ Medical Research Council; R01 EY022305 United States EY NEI NIH HHS; R01 EY015473 United States EY NEI NIH HHS; MC_UU_00007/10 United Kingdom MRC_ Medical Research Council; P30 EY031631 United States EY NEI NIH HHS; MC_QA137853 United Kingdom MRC_ Medical Research Council
  • Substance Nomenclature: 0 (Cytoskeletal Proteins) ; 0 (Eye Proteins) ; 0 (Glycoproteins) ; 0 (trabecular meshwork-induced glucocorticoid response protein)
  • Entry Date(s): Date Created: 20200122 Date Completed: 20200413 Latest Revision: 20220302
  • Update Code: 20240513
  • PubMed Central ID: PMC8056672

Klicken Sie ein Format an und speichern Sie dann die Daten oder geben Sie eine Empfänger-Adresse ein und lassen Sie sich per Email zusenden.

oder
oder

Wählen Sie das für Sie passende Zitationsformat und kopieren Sie es dann in die Zwischenablage, lassen es sich per Mail zusenden oder speichern es als PDF-Datei.

oder
oder

Bitte prüfen Sie, ob die Zitation formal korrekt ist, bevor Sie sie in einer Arbeit verwenden. Benutzen Sie gegebenenfalls den "Exportieren"-Dialog, wenn Sie ein Literaturverwaltungsprogramm verwenden und die Zitat-Angaben selbst formatieren wollen.

xs 0 - 576
sm 576 - 768
md 768 - 992
lg 992 - 1200
xl 1200 - 1366
xxl 1366 -