[en] More than a half of plasma proteins are N-glycosylated. Most of them are synthesized, glycosylated, and secreted to the bloodstream by liver and lymphoid tissues. While associations with N-glycosylation are implicated in the rising number of liver, cardiometabolic, and immune diseases, little is known about the genetic regulation of this process. Here, we performed the largest genome-wide association study of N-glycosylation of the blood plasma proteome in 10,000 individuals. We doubled the number of genetic loci known to be associated with blood N-glycosylation by identifying 16 novel loci and prioritizing 13 novel genes contributing to N-glycosylation. Among these were the GCKR, TRIB1, HP, SERPINA1 and CFH genes. These genes are predominantly expressed in the liver and show a previously unknown genetic link between plasma protein N-glycosylation, metabolic and liver diseases, and inflammatory response. By integrating glycomics, proteomics, transcriptomics, and genomics, we provide a resource that facilitates deeper exploration of disease pathogenesis and supports the discovery of glycan-based biomarkers.
Disciplines :
Genetics & genetic processes
Author, co-author :
Sharapov, Sodbo ; MSU Institute for Artificial Intelligence, Lomonosov Moscow State University, Moscow, Russia
Timoshchuk, Anna ; MSU Institute for Artificial Intelligence, Lomonosov Moscow State University, Moscow, Russia
Zaytseva, Olga; Genos Glycoscience Research Laboratory, Borongajska cesta 83H, Zagreb, Croatia
Maslov, Denis E ; MSU Institute for Artificial Intelligence, Lomonosov Moscow State University, Moscow, Russia
Soplenkova, Anna ; MSU Institute for Artificial Intelligence, Lomonosov Moscow State University, Moscow, Russia
Elgaeva, Elizaveta E ; Institute of Cytology and Genetics, Novosibirsk, Russia ; Novosibirsk State University, Novosibirsk, Russia
Tiys, Evgeny S; Institute of Cytology and Genetics, Novosibirsk, Russia
Mangino, Massimo ; Department of Twin Research and Genetic Epidemiology, School of Life Course Sciences, King's College London, St Thomas' Campus, Lambeth Palace Road, London, United Kingdom ; NIHR Biomedical Research Centre at Guy's and St Thomas' Foundation Trust, London, United Kingdom
Wittenbecher, Clemens; Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
Karssen, Lennart ; PolyOmica, 's-Hertogenbosch, Hertogenbosch, PA, The Netherlands
Timofeeva, Maria; Colon Cancer Genetics Group, Cancer Research UK Scotland Centre, Institute of Genetics & Cancer, Western General Hospital, The University of Edinburgh, Edinburgh, United Kingdom ; D-IAS, Danish Institute for Advanced Study, Department of Public Health, University of Southern Denmark, J.B. Winsløws Vej 9, Odense C, Denmark
Nostaeva, Arina ; Université de Liège - ULiège > Département de gestion vétérinaire des Ressources Animales (DRA) > Génomique animale ; Institute of Cytology and Genetics, Novosibirsk, Russia ; PolyOmica, 's-Hertogenbosch, Hertogenbosch, PA, The Netherlands
Vuckovic, Frano ; Genos Glycoscience Research Laboratory, Borongajska cesta 83H, Zagreb, Croatia
Trbojević-Akmačić, Irena ; Genos Glycoscience Research Laboratory, Borongajska cesta 83H, Zagreb, Croatia
Štambuk, Tamara; Genos Glycoscience Research Laboratory, Borongajska cesta 83H, Zagreb, Croatia
Feoktistova, Sofya; Institute of Cytology and Genetics, Novosibirsk, Russia
Potapova, Nadezhda A; Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, Russia
Voroshilova, Viktoria; Institute of Cytology and Genetics, Novosibirsk, Russia ; Vavilov Institute of General Genetics Russian Academy of Sciences, Moscow, Russia
Williams, Frances ; Department of Twin Research and Genetic Epidemiology, School of Life Course Sciences, King's College London, St Thomas' Campus, Lambeth Palace Road, London, United Kingdom
Primorac, Dragan ; St. Catherine Specialty Hospital, Ulica Kneza Branimira, 71E, Zagreb, Croatia ; University of Split School of Medicine, Split, Croatia ; University of Osijek School of Medicine, Osijek, Croatia
Van Zundert, Jan ; Department of Anesthesiology and Multidisciplinary Paincentre, ZOL, Genk, Lanaken, Belgium ; Department of Anesthesiology and Pain Medicine, Maastricht University Medical Centre, P. Debyelaan 25, Maastricht, The Netherlands
Georges, Michel ; Université de Liège - ULiège > Département de gestion vétérinaire des Ressources Animales (DRA)
Suhre, Karsten ; Department of Physiology and Biophysics, Weill Cornell Medicine-Qatar, Education City, Doha, Qatar
Allegri, Massimo ; Centre Lemanique d'antalgie et neuromodulation - EHC, Morges, Switzerland
Chaturvedi, Nishi ; MRC Unit for Lifelong Health & Ageing University College London, London, United Kingdom
Dunlop, Malcolm ; Colon Cancer Genetics Group, Cancer Research UK Scotland Centre, Institute of Genetics & Cancer, Western General Hospital, The University of Edinburgh, Edinburgh, United Kingdom
Schulze, Matthias B ; Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam- Rehbruecke, 14558, Nuthetal, Germany ; German Center for Diabetes Research (DZD), Neuherberg, Germany ; Institute of Nutrition Science, University of Potsdam, Potsdam, Germany
Spector, Tim ; Department of Twin Research and Genetic Epidemiology, School of Life Course Sciences, King's College London, St Thomas' Campus, Lambeth Palace Road, London, United Kingdom
Tsepilov, Yakov A ; Institute of Cytology and Genetics, Novosibirsk, Russia ; Wellcome Sanger Institute, Cambridge, United Kingdom
Lauc, Gordan ; Genos Glycoscience Research Laboratory, Borongajska cesta 83H, Zagreb, Croatia ; University of Zagreb Faculty of Pharmacy and Biochemistry, Zagreb, Croatia
Aulchenko, Yurii S ; MSU Institute for Artificial Intelligence, Lomonosov Moscow State University, Moscow, Russia. yurii@bionet.nsc.ru ; Institute of Cytology and Genetics, Novosibirsk, Russia. yurii@bionet.nsc.ru
The work of S.Sh., A.T., D.M., A.S., and Y.S.A. was supported by the Research Program at the Moscow State University (MSU) Institute for Artificial Intelligence. The study was conducted using the UK Biobank resource under application #59345. The work of E.E., Y.A.T. was supported by the budget project of the Institute of Cytology and Genetics FWNR-2022-0020. European Community\u2019s Seventh Framework Programme funded project PainOmics (602736). TwinsUK is funded by the Wellcome Trust, Medical Research Council, Versus Arthritis, European Union Horizon 2020, Chronic Disease Research Foundation (CDRF), Zoe Ltd and the National Institute for Health Research (NIHR) Clinical Research Network (CRN) and Biomedical Research Centre based at Guy\u2019s and St Thomas\u2019 NHS Foundation Trust in partnership with King\u2019s College London. The TwinsUK Study was approved by London-Westminster Research Ethics Committee (REC reference EC04/015), and Guy\u2019s and St Thomas\u2019 NHS Foundation Trust Research and Development (R&D). The TwinsUK BioBank was approved by the HRA - Liverpool East Research Ethics Committee (REC reference 19/NW/0187), IRAS ID 258513. Glycan analysis performed in Genos was supported by Horizon Europe grants GlycanSwitch (ERC Synergy grant # 101071386), INITIALIZE (grant # 101094099) and SynHealth (grant #101159018). All participants provide written, informed consent. We thank Toma Keser, Mirna \u0160imurina, Marija Vilaj, Jerko \u0160tambuk, Ivan Gudelj, Thomas S. Klari\u0107, Jasminka Kri\u0161ti\u0107, Jelena \u0160imunovi\u0107, Julija Juri\u0107, Ana Mom\u010Dilovi\u0107, Najda Rudman, and Maja Hani\u0107 for their assistance with glycan analysis. We thank Dmitry Shtokalo for valuable discussion and the Federal Research Center for Information and Computational Technologies SB RAS (FRC ICT SB RAS) for assistance with computational resources.
R. Apweiler H. Hermjakob N. Sharon On the frequency of protein glycosylation, as deduced from analysis of the SWISS-PROT database Biochim Biophys. Acta 1473 4 8 1:CAS:528:DyaK1MXnsVKmt7o%3D 10580125 10.1016/S0304-4165(99)00165-8
F. Clerc et al. Human plasma protein N-glycosylation Glycoconj. J. 33 309 343 1:CAS:528:DC%2BC2MXhvVSgtL%2FM 26555091 10.1007/s10719-015-9626-2
K. Ohtsubo J.D. Marth Glycosylation in cellular mechanisms of health and disease Cell 126 855 867 1:CAS:528:DC%2BD28XpvVKitbo%3D 16959566 10.1016/j.cell.2006.08.019
D. Skropeta The effect of individual N-glycans on enzyme activity Bioorg. Med Chem. 17 2645 2653 1:CAS:528:DC%2BD1MXjvV2it7s%3D 19285412 10.1016/j.bmc.2009.02.037
H. Takeuchi et al. O-Glycosylation modulates the stability of epidermal growth factor-like repeats and thereby regulates Notch trafficking J. Biol. Chem. 292 15964 15973 1:CAS:528:DC%2BC2sXhsFeqsLjP 28729422 5612125 10.1074/jbc.M117.800102
G. Lauc M. Pezer I. Rudan H. Campbell Mechanisms of disease: The human N-glycome Biochim Biophys. Acta 1860 1574 1582 1:CAS:528:DC%2BC2MXhslWrsbnK 26500099 10.1016/j.bbagen.2015.10.016
C. Reily T.J. Stewart M.B. Renfrow J. Novak Glycosylation in health and disease Nat. Rev. Nephrol. 15 346 366 30858582 6590709 10.1038/s41581-019-0129-4
V. Dotz M. Wuhrer N-glycome signatures in human plasma: associations with physiology and major diseases FEBS Lett. 593 2966 2976 1:CAS:528:DC%2BC1MXhvFejtrjK 31509238 10.1002/1873-3468.13598
I. Gudelj G. Lauc M. Pezer Immunoglobulin G glycosylation in aging and diseases Cell Immunol. 333 65 79 1:CAS:528:DC%2BC1cXhsV2jurvF 30107893 10.1016/j.cellimm.2018.07.009
R.A. Dwek T.D. Butters F.M. Platt N. Zitzmann Targeting glycosylation as a therapeutic approach Nat. Rev. Drug Discov. 1 65 75 1:CAS:528:DC%2BD38Xhs1WqtLY%3D 12119611 10.1038/nrd708
E. RodrÍguez S.T.T. Schetters Y. van Kooyk The tumour glyco-code as a novel immune checkpoint for immunotherapy Nat. Rev. Immunol. 18 204 211 29398707 10.1038/nri.2018.3
J.D. Pagan M. Kitaoka R.M. Anthony Engineered sialylation of pathogenic antibodies in vivo attenuates autoimmune disease Cell 172 564 577.e13 1:CAS:528:DC%2BC2sXitVeht7bO 29275858 10.1016/j.cell.2017.11.041
L. Van Landuyt C. Lonigro L. Meuris N. Callewaert Customized protein glycosylation to improve biopharmaceutical function and targeting Curr. Opin. Biotechnol. 60 17 28 30554064 10.1016/j.copbio.2018.11.017
T. Johannssen B. Lepenies Glycan-based cell targeting to modulate immune responses Trends Biotechnol. 35 334 346 1:CAS:528:DC%2BC28XhslShur7F 28277249 10.1016/j.tibtech.2016.10.002
J. Paderi G.D. Prestwich A. Panitch T. Boone K. Stuart Glycan Therapeutics: Resurrecting an almost pharma-forgotten drug class Adv. Therapeutics 1 1800082 10.1002/adtp.201800082
B. Adamczyk T. Tharmalingam P.M. Rudd Glycans as cancer biomarkers Biochimica et. Biophysica Acta (BBA) - Gen. Subj. 1820 1347 1353 1:CAS:528:DC%2BC38XptVKgu7s%3D 10.1016/j.bbagen.2011.12.001
G. Thanabalasingham et al. Mutations in HNF1A result in marked alterations of plasma glycan profile Diabetes 62 1329 1337 1:CAS:528:DC%2BC3sXpvFCrsr4%3D 23274891 3609552 10.2337/db12-0880
Shinohara, Y., Furukawa, J. & Miura, Y. Glycome as Biomarkers. In General Methods in Biomarker Research and their Applications (eds. Preedy, V. R. & Patel, V. B.)111–140 (Springer Netherlands, Dordrecht, 2015).
Taniguchi, N. Handbook of Glycosyltransferases and Related Genes, Second Edition/Handbook of Glycosyltransferases and Related Genes. (2014).
G. Lauc A. Vojta V. Zoldoš Epigenetic regulation of glycosylation is the quantum mechanics of biology Biochim Biophys. Acta 1840 65 70 1:CAS:528:DC%2BC3sXhvFOltrbK 23999089 10.1016/j.bbagen.2013.08.017
K.W. Moremen M. Tiemeyer A.V. Nairn Vertebrate protein glycosylation: diversity, synthesis and function Nat. Rev. Mol. Cell Biol. 13 448 462 1:CAS:528:DC%2BC38XovFyktLs%3D 22722607 3934011 10.1038/nrm3383
A. Knezevic et al. Variability, heritability and environmental determinants of human plasma N-glycome J. Proteome Res. 8 694 701 1:CAS:528:DC%2BD1cXhsVeksb7O 19035662 10.1021/pr800737u
V. Lombard H. Golaconda Ramulu E. Drula P.M. Coutinho B. Henrissat The carbohydrate-active enzymes database (CAZy) in 2013 Nucleic Acids Res 42 D490 D495 1:CAS:528:DC%2BC2cXoslWn 24270786 10.1093/nar/gkt1178
G. Lauc I. Rudan H. Campbell P.M. Rudd Complex genetic regulation of protein glycosylation Mol. Biosyst. 6 329 335 1:CAS:528:DC%2BC3cXosF2ksQ%3D%3D 20094651 10.1039/B910377E
Timoshchuk, A, Sharapov, S. & Aulchenko, Y. S. Twelve Years of Genome-Wide Association Studies of Human Protein N-Glycosylation. Engineering, https://doi.org/10.1016/j.eng.2023.03.013 (2023).
J. Krištić S.Z. Sharapov Y.S. Aulchenko Quantitative genetics of human protein N-glycosylation Adv. Exp. Med Biol. 1325 151 171 34495534 10.1007/978-3-030-70115-4_7
K.R. Reiding et al. High-throughput serum N-glycomics: Method comparison and application to study rheumatoid arthritis and pregnancy-associated changes Mol. Cell. Proteom. 18 3 15 1:CAS:528:DC%2BC1MXjtVCntrg%3D 10.1074/mcp.RA117.000454
X. Shen et al. Multivariate discovery and replication of five novel loci associated with Immunoglobulin G N-glycosylation Nat. Commun. 8 28878392 5587582 10.1038/s41467-017-00453-3 447
Z. Ning et al. Nontrivial replication of loci detected by multi-trait Methods Front Genet 12 33613642 7886991 10.3389/fgene.2021.627989 627989
B. Pasaniuc A.L. Price Dissecting the genetics of complex traits using summary association statistics Nat. Rev. Genet. 18 117 127 1:CAS:528:DC%2BC28XhvVGgtrvP 27840428 10.1038/nrg.2016.142
T.H. Pers et al. Biological interpretation of genome-wide association studies using predicted gene functions Nat. Commun. 6 1:CAS:528:DC%2BC2MXhtF2itrjE 25597830 10.1038/ncomms6890 5890
Z. Zhu et al. Integration of summary data from GWAS and eQTL studies predicts complex trait gene targets Nat. Genet. 48 481 487 1:CAS:528:DC%2BC28XkvFGrs7g%3D 27019110 10.1038/ng.3538
Hemani, G. et al. The MR-Base platform supports systematic causal inference across the human phenome. Elife7, e34408 (2018).
Lauc, G. et al. Genomics Meets Glycomics—The first GWAS study of human N-glycome identifies HNF1α as a master regulator of plasma protein fucosylation. PLoS geneticshttps://doi.org/10.1371/journal.pgen.1001256. (2010).
J.E. Huffman et al. Polymorphisms in B3GAT1, SLC9A9 and MGAT5 are associated with variation within the human plasma N-glycome of 3533 European adults Hum. Mol. Genet 20 5000 5011 1:CAS:528:DC%2BC3MXhsV2gs7fL 21908519 10.1093/hmg/ddr414
Sharapov, S. et al. Defining the genetic control of human blood plasma N-glycome using genome-wide association study. https://doi.org/10.1101/365486. (2018).
S.Z. Sharapov et al. Replication of 15 loci involved in human plasma protein N-glycosylation in 4802 samples from four cohorts Glycobiology 31 82 88 1:CAS:528:DC%2BB3MXhvFOgs77P 32521004 10.1093/glycob/cwaa053
G. Lauc et al. Loci associated with N-glycosylation of human immunoglobulin G show pleiotropy with autoimmune diseases and haematological cancers PLoS Genet 9 1:CAS:528:DC%2BC3sXivVehurw%3D 23382691 3561084 10.1371/journal.pgen.1003225 e1003225
A. Wahl et al. Genome-Wide Association Study on Immunoglobulin G Glycosylation Patterns Front. Immunol. 9 277 29535710 5834439 10.3389/fimmu.2018.00277
L. Klarić et al. Glycosylation of immunoglobulin G is regulated by a large network of genes pleiotropic with inflammatory diseases Sci. Adv. 6 eaax0301 32128391 7030929 10.1126/sciadv.aax0301
A.S. Shadrina et al. Multivariate genome-wide analysis of immunoglobulin G N-glycosylation identifies new loci pleiotropic with immune function Hum. Mol. Genet 30 1259 1270 1:CAS:528:DC%2BB3MXitlyjt77N 33710309 10.1093/hmg/ddab072
A. Landini et al. Genetic regulation of post-translational modification of two distinct proteins Nat. Commun. 13 1:CAS:528:DC%2BB38Xos1Oktb4%3D 35332118 8948205 10.1038/s41467-022-29189-5 1586
O.O. Zaytseva et al. Investigation of the causal relationships between human IgG N-glycosylation and 12 common diseases associated with changes in the IgG N-glycome Hum. Mol. Genet 31 1545 1559 1:CAS:528:DC%2BB38Xhs1KqsLzF 34791244 10.1093/hmg/ddab335
J. Yang et al. Conditional and joint multiple-SNP analysis of GWAS summary statistics identifies additional variants influencing complex traits Nat. Genet. 44 369 375 1:CAS:528:DC%2BC38XktVaksr0%3D 22426310 3593158 10.1038/ng.2213 S1-3
B.K. Bulik-Sullivan et al. LD Score regression distinguishes confounding from polygenicity in genome-wide association studies Nat. Genet 47 291 295 1:CAS:528:DC%2BC2MXhvFCntb8%3D 25642630 4495769 10.1038/ng.3211
O.O. Zaytseva et al. Heritability of human plasma N-glycome J. Proteome Res 19 85 91 1:CAS:528:DC%2BC1MXitF2ntb%2FF 31747749 10.1021/acs.jproteome.9b00348
L.R. Lloyd-Jones et al. Improved polygenic prediction by bayesian multiple regression on summary statistics Nat. Commun. 10 31704910 6841727 10.1038/s41467-019-12653-0 5086
K.G. Aragam et al. Discovery and systematic characterization of risk variants and genes for coronary artery disease in over a million participants Nat. Genet 54 1803 1815 1:CAS:528:DC%2BB38XjtVGru7%2FJ 36474045 9729111 10.1038/s41588-022-01233-6
Momozawa, Y. et al. IBD risk loci are enriched in multigenic regulatory modules encompassing putative causative genes. Nat. Commun.9, 2427 (2018).
C. Giambartolomei et al. Bayesian test for colocalisation between pairs of genetic association studies using summary statistics PLoS Genet 10 e1004383 24830394 4022491 10.1371/journal.pgen.1004383
F.M.K. Williams et al. Ischemic stroke is associated with the ABO locus: the EuroCLOT study Ann. Neurol. 73 16 31 23381943 3582024 10.1002/ana.23838
C.M. Sabotta et al. Genetic variants associated with circulating liver injury markers in Mexican Americans, a population at risk for non-alcoholic fatty liver disease Front Genet 13 1:CAS:528:DC%2BB38XjtVagtrbL 36386790 9644071 10.3389/fgene.2022.995488 995488
D.R. Ewald S.C.J. Sumner Blood type biochemistry and human disease Wiley Interdiscip. Rev. Syst. Biol. Med 8 517 535 1:CAS:528:DC%2BC28Xhs1Cmu7%2FM 27599872 5061611 10.1002/wsbm.1355
M. Verbanck C.-Y. Chen B. Neale R. Do Detection of widespread horizontal pleiotropy in causal relationships inferred from Mendelian randomization between complex traits and diseases Nat. Genet 50 693 698 1:CAS:528:DC%2BC1cXotF2kt7g%3D 29686387 6083837 10.1038/s41588-018-0099-7
C.J. Fairfield et al. Genome-wide association study of NAFLD using electronic health records Hepatol. Commun. 6 297 1:CAS:528:DC%2BB3MXitlyltrbP 34535985 10.1002/hep4.1805
M. Vujkovic et al. A multiancestry genome-wide association study of unexplained chronic ALT elevation as a proxy for nonalcoholic fatty liver disease with histological and radiological validation Nat. Genet 54 761 771 1:CAS:528:DC%2BB38XhsVGgsbzE 35654975 10024253 10.1038/s41588-022-01078-z
K. Mise et al. Novel urinary glycan biomarkers predict cardiovascular events in patients with type 2 diabetes: A multicenter prospective study with 5-year follow up (U-CARE Study 2) Front Cardiovasc Med 8 1:CAS:528:DC%2BB3MXitFClsbvN 34109226 8180567 10.3389/fcvm.2021.668059 668059
Essentials of Glycobiology. (Cold spring harbor laboratory press, cold spring harbor (NY), 2022).
O. Vagin J.A. Kraut G. Sachs Role of N-glycosylation in trafficking of apical membrane proteins in epithelia Am. J. Physiol.-Ren. Physiol. 296 F459 F469 1:CAS:528:DC%2BD1MXjtFGkurc%3D 10.1152/ajprenal.90340.2008
Leoz, M. L. A. et al. High-mannose glycans are elevated during breast cancer progression *. molecular & cellular proteomics10, (2011).
J.P. Segrest M.K. Jones H. De Loof N. Dashti Structure of apolipoprotein B-100 in low density lipoproteins J. Lipid Res 42 1346 1367 1:CAS:528:DC%2BD3MXmslSqt7k%3D 11518754 10.1016/S0022-2275(20)30267-4
F.J. Raal et al. Mipomersen, an apolipoprotein B synthesis inhibitor, for lowering of LDL cholesterol concentrations in patients with homozygous familial hypercholesterolaemia: a randomised, double-blind, placebo-controlled trial Lancet 375 998 1006 1:CAS:528:DC%2BC3cXjs1ait74%3D 20227758 10.1016/S0140-6736(10)60284-X
F.M. Riches et al. Reduction in visceral adipose tissue is associated with improvement in apolipoprotein B−100 metabolism in obese men1 J. Clin. Endocrinol. Metab. 84 2854 2861 1:CAS:528:DyaK1MXltFCltLo%3D 10443691
G. Walldius I. Jungner Apolipoprotein B and apolipoprotein A-I: risk indicators of coronary heart disease and targets for lipid-modifying therapy J. Intern Med 255 188 205 1:CAS:528:DC%2BD2cXitFWgsr4%3D 14746556 10.1046/j.1365-2796.2003.01276.x
A. Tybjaerg-Hansen R. Steffensen H. Meinertz P. Schnohr B.G. Nordestgaard Association of mutations in the apolipoprotein B gene with hypercholesterolemia and the risk of ischemic heart disease N. Engl. J. Med 338 1577 1584 1:STN:280:DyaK1c3lt1Cltg%3D%3D 9603795 10.1056/NEJM199805283382203
M.J. McQueen et al. Lipids, lipoproteins, and apolipoproteins as risk markers of myocardial infarction in 52 countries (the INTERHEART study): a case-control study Lancet 372 224 233 1:CAS:528:DC%2BD1cXoslWkt7w%3D 18640459 10.1016/S0140-6736(08)61076-4
T. Platts-Mills TaE The role of immunoglobulin e in allergy and asthma Am. J. Respir. Crit. Care Med 164 S1 S5 1:STN:280:DC%2BD3Mnlt1Srsw%3D%3D 11704610 10.1164/ajrccm.164.supplement_1.2103024
A.J. Hülsmeier M. Tobler P. Burda T. Hennet Glycosylation site occupancy in health, congenital disorder of glycosylation and fatty liver disease Sci. Rep. 6 27725718 5057071 10.1038/srep33927 33927
X. Verhelst et al. Protein glycosylation as a diagnostic and prognostic marker of chronic inflammatory gastrointestinal and liver diseases Gastroenterology 158 95 110 1:CAS:528:DC%2BB3cXhtVOlsbvO 31626754 10.1053/j.gastro.2019.08.060
B. Blomme C. Van Steenkiste N. Callewaert H. Van Vlierberghe Alteration of protein glycosylation in liver diseases J. Hepatol. 50 592 603 1:CAS:528:DC%2BD1MXhs1ekt7s%3D 19157620 10.1016/j.jhep.2008.12.010
M.A. Kalas L. Chavez M. Leon P.T. Taweesedt S. Surani Abnormal liver enzymes: A review for clinicians World J. Hepatol. 13 1688 1698 34904038 8637680 10.4254/wjh.v13.i11.1688
T. Roh et al. Fucosylated haptoglobin promotes inflammation via Mincle in sepsis: an observational study Nat. Commun. 16 1:CAS:528:DC%2BB2MXjt1aru7o%3D 39904983 11794430 10.1038/s41467-025-56524-3 1342
Gong, J., Tu, W., Liu, J. & Tian, D. Hepatocytes: A key role in liver inflammation. Front. Immunol. 13, 1083780 (2023).
B. Radovani I. Gudelj N-Glycosylation and Inflammation; the Not-So-Sweet Relation Front Immunol. 13 893365 1:CAS:528:DC%2BB38XitVOqtLzJ 35833138 9272703 10.3389/fimmu.2022.893365
J. Kettunen et al. Genome-wide study for circulating metabolites identifies 62 loci and reveals novel systemic effects of LPA Nat. Commun. 7 1:CAS:528:DC%2BC28XkvVCgsLs%3D 27005778 4814583 10.1038/ncomms11122 11122
Cross-platform proteomics to advance genetic prioritisation strategies | bioRxiv. https://www.biorxiv.org/content/10.1101/2021.03.18.435919v1.
K. Kiryluk J. Novak A.G. Gharavi Pathogenesis of Immunoglobulin A Nephropathy: Recent Insight from Genetic Studies Annu. Rev. Med. 64 339 356 1:CAS:528:DC%2BC3sXjsFKlt7o%3D 23072577 10.1146/annurev-med-041811-142014
M.G. Kiss et al. Complement factor H modulates splenic b cell development and limits autoantibody production Front Immunol. 10 1607 1:CAS:528:DC%2BB3cXhsV2ls7s%3D 31354740 6637296 10.3389/fimmu.2019.01607
V. Dotz et al. O- and N-glycosylation of serum immunoglobulin A is associated with IgA nephropathy and glomerular function J. Am. Soc. Nephrol. 32 2455 2465 1:CAS:528:DC%2BB3MXis1GisbjP 34127537 8722783 10.1681/ASN.2020081208
A. Momčilović et al. Simultaneous immunoglobulin A and G glycopeptide profiling for high-throughput applications Anal. Chem. 92 4518 4526 32091889 7252899 10.1021/acs.analchem.9b05722
Demus, D. et al. Large-scale analysis of apolipoprotein CIII glycosylation by ultrahigh resolution mass spectrometry. Front. Chem.9, 678883 (2021).
F. Avila Cobos J. Alquicira-Hernandez J.E. Powell P. Mestdagh K. De Preter Benchmarking of cell type deconvolution pipelines for transcriptomics data Nat. Commun. 11 1:CAS:528:DC%2BB3cXit12gs7zJ 33159064 7648640 10.1038/s41467-020-19015-1 5650
I.T. Akmačić et al. High-throughput glycomics: optimization of sample preparation Biochem. (Mosc.) 80 934 942 10.1134/S0006297915070123
F. Dieterle A. Ross G. Schlotterbeck H. Senn Probabilistic quotient normalization as robust method to account for dilution of complex biological mixtures. Application in 1H NMR metabonomics Anal. Chem. 78 4281 4290 1:CAS:528:DC%2BD28XltVCgtro%3D 16808434 10.1021/ac051632c
E. Benedetti et al. Systematic evaluation of normalization methods for glycomics data based on performance of network inference Metabolites 10 271 1:CAS:528:DC%2BB3cXhsFyks7%2FJ 32630764 7408386 10.3390/metabo10070271
S. McCarthy et al. A reference panel of 64,976 haplotypes for genotype imputation Nat. Genet 48 1279 1283 1:CAS:528:DC%2BC28Xhtlykt7zO 27548312 5388176 10.1038/ng.3643
1000 Genomes Project Consortium et al. A global reference for human genetic variation Nature 526 68 74 10.1038/nature15393
J. Li L. Ji Adjusting multiple testing in multilocus analyses using the eigenvalues of a correlation matrix Heredity (Edinb.) 95 221 227 1:CAS:528:DC%2BD2MXovVOns7w%3D 16077740 10.1038/sj.hdy.6800717
Shashkova, T. I. et al. The GWAS-MAP platform for aggregation of results of genome-wide association studies and the GWAS-MAP|homo database of 70 billion genetic associations of human traits. Vavilovskii Zh. Genet Selektsii24, 876–884 (2020).
C. Bycroft et al. The UK Biobank resource with deep phenotyping and genomic data Nature 562 203 209 1:CAS:528:DC%2BC1cXhvV2qsbvI 30305743 6786975 10.1038/s41586-018-0579-z
Z.-L. Chen et al. A high-speed search engine pLink 2 with systematic evaluation for proteome-scale identification of cross-linked peptides Nat. Commun. 10 31363125 6667459 10.1038/s41467-019-11337-z 3404
W. McLaren et al. The ensembl variant effect predictor Genome Biol. 17 27268795 4893825 10.1186/s13059-016-0974-4 122
Rogers, M. et al. FATHMM-XF: accurate prediction of pathogenic point mutations via extended features. Bioinform. https://doi.org/10.1093/bioinformatics/btx536. (2018)
M. Ferlaino et al. An integrative approach to predicting the functional effects of small indels in non-coding regions of the human genome BMC Bioinforma. 18 10.1186/s12859-017-1862-y 442
Y. Narimatsu et al. An atlas of human glycosylation pathways enables display of the human glycome by gene engineered cells Mol. Cell 75 394 407.e5 1:CAS:528:DC%2BC1MXhtF2ku77J 31227230 6660356 10.1016/j.molcel.2019.05.017
H.-J. Westra et al. Systematic identification of trans eQTLs as putative drivers of known disease associations Nat. Genet. 45 1238 1243 1:CAS:528:DC%2BC3sXhtl2ksLzK 24013639 3991562 10.1038/ng.2756
GTEx Consortium et al. Genetic effects on gene expression across human tissues Nature 550 204 213 5776756 10.1038/nature24277
K. Suhre et al. Connecting genetic risk to disease end points through the human blood plasma proteome Nat. Commun. 8 1:CAS:528:DC%2BC2sXjsVKhsL0%3D 28240269 5333359 10.1038/ncomms14357 14357
B.B. Sun et al. Genomic atlas of the human plasma proteome Nature 558 73 79 1:CAS:528:DC%2BC1cXhtV2lsr3E 29875488 6697541 10.1038/s41586-018-0175-2
O. Canela-Xandri K. Rawlik A. Tenesa An atlas of genetic associations in UK Biobank Nat. Genet 50 1593 1599 1:CAS:528:DC%2BC1cXhvF2lsbrJ 30349118 6707814 10.1038/s41588-018-0248-z
A. Lachmann et al. Massive mining of publicly available RNA-seq data from human and mouse Nat. Commun. 9 29636450 5893633 10.1038/s41467-018-03751-6 1366