Whole-genome sequencing analysis of the cardiometabolic proteome
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Abstract
The human proteome is a crucial intermediate between complex diseases and their genetic and environmental components, and an important source of drug development targets and biomarkers. Here, we comprehensively assess the genetic architecture of 257 circulating protein biomarkers of cardiometabolic relevance through high-depth (22.5×) whole-genome sequencing (WGS) in 1328 individuals. We discover 131 independent sequence variant associations ( P < 7.45 × 10 −11 ) across the allele frequency spectrum, all of which replicate in an independent cohort ( n = 1605, 18.4 x WGS). We identify for the first time replicating evidence for rare-variant cis -acting protein quantitative trait loci for five genes, involving both coding and noncoding variation. We construct and validate polygenic scores that explain up to 45% of protein level variation. We find causal links between protein levels and disease risk, identifying high-value biomarkers and drug development targets.
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Gene-based pQTL analyses of rare variants constitute an emerging approach.
“Gene-based pQTL analyses of rare variants constitute an emerging approach10–13”
From Genetic determinants of plasma protein levels in the Estonian population (2024) · cites this paper as [11]
Previous studies indicate that few proteins are driven by rare variants.
“Previous studies indicate that few proteins are driven by rare variants11–13.”
From Genetic determinants of plasma protein levels in the Estonian population (2024) · cites this paper as [11]
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Cites
Genome-wide efficient mixed-model analysis for association studies
Zhou, X., & Stephens, M. (2012) · Nature Genetics · doi:10.1038/ng.2310 · Cited by 3,627 · see citing works
Genetic Investigation of ANthropometric Traits (GIANT) Consortium, Yang, J., DIAbetes Genetics Replication And Meta-analysis (DIAGRAM) Consortium, Ferreira, T., Morris, A. P., Medland, S. E., Madden, P. A. F., Heath, A. C., Martin, N. G., Montgomery, G. W., et al. (2012) · Nature Genetics · doi:10.1038/ng.2213 · Cited by 1,712 · see citing works
Mouse Genome Database (MGD) 2019
Bult, C. J., Blake, J. A., Smith, C. L., Kadin, J. A., Richardson, J. E., the Mouse Genome Database Group, Anagnostopoulos, A., Asabor, R., Baldarelli, R. M., Beal, J. S., et al. (2019) · Nucleic Acids Research · doi:10.1093/nar/gky1056 · Cited by 686 · see citing works
A simple correction for multiple comparisons in interval mapping genome scans
Cheverud, J. M. (2001) · Heredity · doi:10.1046/j.1365-2540.2001.00901.x · Cited by 421 · see citing works
Flagged first, then by citations
Research works printed but not linked: 52
- [1]Melzer D A genome-wide association study identifies protein quantitative trait loci (pQTLs) PLoS Genet. 2008 4 e1000072 10.1371/journal.pgen.1000072 18464913 PMC2362067 · DOI · Paper page
- [2]Suhre K Connecting genetic risk to disease end points through the human blood plasma proteome Nat. Commun. 2017 8 14357 10.1038/ncomms14357 28240269 PMC5333359 · DOI · Paper page
- [3]Emilsson V Co-regulatory networks of human serum proteins link genetics to disease Science 2018 361 769 773 10.1126/science.aaq1327 30072576 PMC6190714 · DOI · Paper page
- [4]Sun BB Genomic atlas of the human plasma proteome Nature 2018 558 73 79 10.1038/s41586-018-0175-2 29875488 PMC6697541 · DOI · Paper page
- [5]Benson MD Genetic Architecture of the Cardiovascular Risk Proteome Circulation 2018 137 1158 1172 10.1161/CIRCULATIONAHA.117.029536 29258991 PMC5849518 · DOI
- [6]Yao C Genome-wide mapping of plasma protein QTLs identifies putatively causal genes and pathways for cardiovascular disease Nat. Commun. 2018 9 3268 10.1038/s41467-018-05512-x 30111768 PMC6093935 · DOI · Paper page
- [7]Gilly A Cohort-wide deep whole genome sequencing and the allelic architecture of complex traits Nat. Commun. 2018 9 4674 10.1038/s41467-018-07070-8 30405126 PMC6220258 · DOI
- [8]Cirulli ET Genome-wide rare variant analysis for thousands of phenotypes in over 70,000 exomes from two cohorts Nat. Commun. 2020 11 542 10.1038/s41467-020-14288-y 31992710 PMC6987107 · DOI
- [9]Lundberg M Eriksson A Tran B Assarsson E Fredriksson S Homogeneous antibody-based proximity extension assays provide sensitive and specific detection of low-abundant proteins in human blood Nucleic Acids Res. 2011 39 e102 10.1093/nar/gkr424 21646338 PMC3159481 · DOI · Paper page
- [10]Southam L Whole genome sequencing and imputation in isolated populations identify genetic associations with medically-relevant complex traits Nat. Commun. 2017 8 15606 10.1038/ncomms15606 28548082 PMC5458552 · DOI
- [11]Lu ZH The promiscuous chemokine binding profile of the Duffy antigen/receptor for chemokines is primarily localized to sequences in the amino-terminal domain J. Biol. Chem. 1995 270 26239 26245 10.1074/jbc.270.44.26239 7592830 · DOI
- [12]Kashiwazaki M A high endothelial venule-expressing promiscuous chemokine receptor DARC can bind inflammatory, but not lymphoid, chemokines and is dispensable for lymphocyte homing under physiological conditions Int Immunol. 2003 15 1219 1227 10.1093/intimm/dxg121 13679391 · DOI
- [13]Shimaoka T Cell surface-anchored SR-PSOX/CXC chemokine ligand 16 mediates firm adhesion of CXC chemokine receptor 6-expressing cells J. Leukoc. Biol. 2004 75 267 274 10.1189/jlb.1003465 14634054 · DOI
- [14]Rennert P A soluble form of B cell maturation antigen, a receptor for the tumor necrosis factor family member APRIL, inhibits tumor cell growth J. Exp. Med. 2000 192 1677 1684 10.1084/jem.192.11.1677 11104810 PMC2193103 · DOI
- [15]Huai Q Structure of human urokinase plasminogen activator in complex with its receptor Science 2006 311 656 659 10.1126/science.1121143 16456079 · DOI
- [16]Johnson LA Apolipoprotein E-low density lipoprotein receptor interaction affects spatial memory retention and brain ApoE levels in an isoform-dependent manner Neurobiol. Dis. 2014 64 150 162 10.1016/j.nbd.2013.12.016 24412220 PMC3936477 · DOI
- [17]Weiss ES Interleukin-18 diagnostically distinguishes and pathogenically promotes human and murine macrophage activation syndrome Blood 2018 131 1442 1455 10.1182/blood-2017-12-820852 29326099 PMC5877443 · DOI
- [18]Maiolino G The role of oxidized low-density lipoproteins in atherosclerosis: the myths and the facts Mediators Inflamm. 2013 2013 714653 10.1155/2013/714653 24222937 PMC3816061 · DOI
- [19]Pei C Emerging role of interleukin-33 in autoimmune diseases Immunology 2014 141 9 17 10.1111/imm.12174 24116703 PMC3893845 · DOI
- [20]Roselli C Multi-ethnic genome-wide association study for atrial fibrillation Nat. Genet. 2018 50 1225 1233 10.1038/s41588-018-0133-9 29892015 PMC6136836 · DOI
- [21]Nielsen JB Biobank-driven genomic discovery yields new insight into atrial fibrillation biology Nat. Genet. 2018 50 1234 1239 10.1038/s41588-018-0171-3 30061737 PMC6530775 · DOI · Paper page
- [23]Folkersen L Mapping of 79 loci for 83 plasma protein biomarkers in cardiovascular disease PLoS Genet. 2017 13 e1006706 10.1371/journal.pgen.1006706 28369058 PMC5393901 · DOI · Paper page
- [24]Overgaard MT Expression of recombinant human pregnancy-associated plasma protein-A and identification of the proform of eosinophil major basic protein as its physiological inhibitor J. Biol. Chem. 2000 275 31128 31133 10.1074/jbc.M001384200 10913121 · DOI
- [25]Oxvig C The role of PAPP-A in the IGF system: location, location, location J. Cell Commun. Signal. 2015 9 177 187 10.1007/s12079-015-0259-9 25617049 PMC4458251 · DOI
- [26]Bach LA Hale LJ Insulin-like growth factors and kidney disease Am. J. Kidney Dis. 2015 65 327 336 10.1053/j.ajkd.2014.05.024 25151409 · DOI
- [27]Farmaki AE The mountainous Cretan dietary patterns and their relationship with cardiovascular risk factors: the Hellenic Isolated Cohorts MANOLIS study Public Health Nutr. 2017 20 1063 1074 10.1017/S1368980016003207 27989266 PMC10261406 · DOI
- [28]Read R Ectonucleoside triphosphate diphosphohydrolase type 5 (Entpd5)-deficient mice develop progressive hepatopathy, hepatocellular tumors, and spermatogenic arrest Vet. Pathol. 2009 46 491 504 10.1354/vp.08-VP-0201-R-AM 19176496 · DOI
- [29]Durst MA Ratia K Lavie A Identifying small molecule probes of ENTPD5 through high throughput screening PLoS ONE 2019 14 e0210305 10.1371/journal.pone.0210305 31242188 PMC6594577 · DOI
- [30]Gustafsen C The hypercholesterolemia-risk gene SORT1 facilitates PCSK9 secretion Cell Metab. 2014 19 310 318 10.1016/j.cmet.2013.12.006 24506872 · DOI · Paper page
- [31]McKenna A The Genome Analysis Toolkit: A MapReduce framework for analyzing next-generation DNA sequencing data Genome Res. 2010 20 1297 1303 10.1101/gr.107524.110 20644199 PMC2928508 · DOI · Paper page
- [32]Jun G & Kang, Hyun M. Detecting and Estimating Contamination of Human DNA Samples in Sequencing and Array-Based Genotype Data Am. J. Hum. Genet. 2012 91 839 848 10.1016/j.ajhg.2012.09.004 23103226 PMC3487130 · DOI · Paper page
- [35]Lloyd-Jones LR The Genetic Architecture of Gene Expression in Peripheral Blood Am. J. Hum. Genet. 2017 100 228 237 10.1016/j.ajhg.2016.12.008 28065468 PMC5294670 · DOI
- [36]Jiang D McPeek MS Robust rare variant association testing for quantitative traits in samples with related individuals Genet. Epidemiol. 2014 38 10 20 10.1002/gepi.21775 24248908 PMC4510991 · DOI
- [37]Kircher M A general framework for estimating the relative pathogenicity of human genetic variants Nat. Genet. 2014 46 310 315 10.1038/ng.2892 24487276 PMC3992975 · DOI · Paper page
- [38]Ionita-Laza I McCallum K Xu B Buxbaum JD A spectral approach integrating functional genomic annotations for coding and noncoding variants Nat. Genet. 2016 48 214 220 10.1038/ng.3477 26727659 PMC4731313 · DOI
- [39]Kamat, M. A. et al. PhenoScanner V2: an expanded tool for searching human genotype-phenotype associations. Bioinformatics10.1093/bioinformatics/btz469 (2019). PMC6853652 31233103
- [40]Solomon T Identification of Common and Rare Genetic Variation Associated With Plasma Protein Levels Using Whole-Exome Sequencing and Mass Spectrometry Circ. Genome Precis Med. 2018 11 e002170 PMC6301071 30562114
- [41]Hoglund J Improved power and precision with whole genome sequencing data in genome-wide association studies of inflammatory biomarkers Sci. Rep. 2019 9 16844 10.1038/s41598-019-53111-7 31727947 PMC6856527 · DOI
- [42]Enroth S Systemic and specific effects of antihypertensive and lipid-lowering medication on plasma protein biomarkers for cardiovascular diseases Sci. Rep. 2018 8 5531 10.1038/s41598-018-23860-y 29615742 PMC5882890 · DOI
- [43]McLaren W The Ensembl Variant Effect Predictor Genome Biol. 2016 17 122 10.1186/s13059-016-0974-4 27268795 PMC4893825 · DOI · Paper page
- [44]Sandholm N The Genetic Landscape of Renal Complications in Type 1 Diabetes J. Am. Soc. Nephrol. 2017 28 557 574 10.1681/ASN.2016020231 27647854 PMC5280020 · DOI
- [45]Willer CJ Discovery and refinement of loci associated with lipid levels Nat. Genet. 2013 45 1274 1283 10.1038/ng.2797 24097068 PMC3838666 · DOI
- [46]Morris AP Trans-ethnic kidney function association study reveals putative causal genes and effects on kidney-specific disease aetiologies Nat. Commun. 2019 10 29 10.1038/s41467-018-07867-7 30604766 PMC6318312 · DOI
- [47]Haas ME Genetic Association of Albuminuria with Cardiometabolic Disease and Blood Pressure Am. J. Hum. Genet. 2018 103 461 473 10.1016/j.ajhg.2018.08.004 30220432 PMC6174360 · DOI
- [48]Yengo L Meta-analysis of genome-wide association studies for height and body mass index in approximately 700000 individuals of European ancestry Hum. Mol. Genet. 2018 27 3641 3649 10.1093/hmg/ddy271 30124842 PMC6488973 · DOI
- [49]Moskvina V Schmidt KM On multiple-testing correction in genome-wide association studies Genet. Epidemiol. 2008 32 567 573 10.1002/gepi.20331 18425821 · DOI
- [51]Choi, S. W. & O’Reilly, P. F. PRSice-2: Polygenic Risk Score software for biobank-scale data. Gigascience8, giz082 (2019). PMC6629542 31307061
- [52]Wu P Mapping ICD-10 and ICD-10-CM Codes to Phecodes: Workflow Development and Initial Evaluation JMIR Med. Inf. 2019 7 e14325 10.2196/14325 PMC6911227 31553307 · DOI
- [53]Wishart DS DrugBank 5.0: a major update to the DrugBank database for 2018 Nucleic Acids Res. 2018 46 D1074 d1082 10.1093/nar/gkx1037 29126136 PMC5753335 · DOI · Paper page
- [54]Koscielny G Open Targets: a platform for therapeutic target identification and validation Nucleic Acids Res. 2017 45 D985 D994 10.1093/nar/gkw1055 27899665 PMC5210543 · DOI
- [55]Yates AD Ensembl 2020 Nucleic Acids Res. 2020 48 D682 d688 10.1093/nar/gkz1138 31691826 PMC7145704 · DOI
- [56]Koscielny G The International Mouse Phenotyping Consortium Web Portal, a unified point of access for knockout mice and related phenotyping data Nucleic Acids Res. 2014 42 D802 D809 10.1093/nar/gkt977 24194600 PMC3964955 · DOI
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Sorted by citations
Genetic determinants of plasma protein levels in the Estonian population
Kalnapenkis, A., Jõeloo, M., Lepik, K., Kukuškina, V., Kals, M., Alasoo, K., Estonian Biobank Research Team, Metspalu, A., Milani, L., Nelis, M., et al. (2024) · Scientific Reports · doi:10.1038/s41598-024-57966-3 · Cited by 11 · see citing works
- Authors
- Gilly, A., Park, Y.-C., Png, G., Barysenka, A., Fischer, I., Bjørnland, T., Southam, L., Suveges, D., Neumeyer, S., Rayner, N. W., Tsafantakis, E., Karaleftheri, M., Dedoussis, G., & Zeggini, E.
- Affiliations
- Wellcome Sanger Institute (GB)
- University of Cambridge (GB)
- Helmholtz Munich (DE)
- Norwegian University of Science and Technology (NO)
- Centre for Human Genetics (GB)
- Harokopio University of Athens (GR)
- Corresponding author
- Zeggini, Eleftheria
- ORCID
- Venue
- Nature Communications
- Published
- 2020-12-10
- Volume
- 11
- Issue
- 1
- Pages
- 6336-6336
- ISSN
- 2041-1723 (ISSN-L)
- PMC
- PMC7729872
- OpenAlex
- W3113104574
- Cited by
- 107
- References
- 4
- Citations by year
- 2026: 11 · 2025: 28 · 2024: 35 · 2023: 17 · 2022: 8 · 2021: 5 · 2020: 3
- FWCI
- 4.77
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Nature Communications (publishedVersion, cc-by)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- mediaTUM (Technical University of Munich) (submittedVersion, other-oa)
- NORA - Norwegian Open Research Archives (submittedVersion, cc-by)
- Site cant be reached (submittedVersion)
- Site cant be reached (submittedVersion, cc-by)
- PuSH - Publication Server of Helmholtz Zentrum München (submittedVersion)
- Apollo (University of Cambridge) (submittedVersion, cc-by)
- Apollo (cc-by)
- Funders
- Wellcome Trust (098051)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genomics and Rare Diseases
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Mapping and Diversity in Plants and Animals
- Keywords
- circulating protein biomarkers, polygenic risk score, protein quantitative trait loci, drug discovery targets
- MeSH terms
- Whole Genome Sequencing, Gene Expression Regulation, Humans, Myocardium, Risk Factors, Genetic Predisposition to Disease, Multifactorial Inheritance, Proteome, Quantitative Trait Loci, Gene Regulatory Networks
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