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Your search keyword '"Kalnapenkis, A."' showing total 9 results
Start Over Author "Kalnapenkis, A." Publication Type Academic Journals
9 results on '"Kalnapenkis, A."'

2. Genetic determinants of plasma protein levels in the Estonian population

Author

Anette Kalnapenkis, Maarja Jõeloo, Kaido Lepik, Viktorija Kukuškina, Mart Kals, Kaur Alasoo, Estonian Biobank Research Team, Reedik Mägi, Tõnu Esko, and Urmo Võsa

Subjects
Medicine, Science
Abstract

Abstract The proteome holds great potential as an intermediate layer between the genome and phenome. Previous protein quantitative trait locus studies have focused mainly on describing the effects of common genetic variations on the proteome. Here, we assessed the impact of the common and rare genetic variations as well as the copy number variants (CNVs) on 326 plasma proteins measured in up to 500 individuals. We identified 184 cis and 94 trans signals for 157 protein traits, which were further fine-mapped to credible sets for 101 cis and 87 trans signals for 151 proteins. Rare genetic variation contributed to the levels of 7 proteins, with 5 cis and 14 trans associations. CNVs were associated with the levels of 11 proteins (7 cis and 5 trans), examples including a 3q12.1 deletion acting as a hub for multiple trans associations; and a CNV overlapping NAIP, a sensor component of the NAIP-NLRC4 inflammasome which is affecting pro-inflammatory cytokine interleukin 18 levels. In summary, this work presents a comprehensive resource of genetic variation affecting the plasma protein levels and provides the interpretation of identified effects.

Published
2024
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3. Genetics of circulating inflammatory proteins identifies drivers of immune-mediated disease risk and therapeutic targets

Author

Zhao, Jing Hua, Stacey, David, Eriksson, Niclas, Macdonald-Dunlop, Erin, Hedman, Åsa K., Kalnapenkis, Anette, Enroth, Stefan, Cozzetto, Domenico, Digby-Bell, Jonathan, Marten, Jonathan, Folkersen, Lasse, Herder, Christian, Jonsson, Lina, Bergen, Sarah E., Gieger, Christian, Needham, Elise J., Surendran, Praveen, Paul, Dirk S., Polasek, Ozren, Thorand, Barbara, Grallert, Harald, Roden, Michael, Võsa, Urmo, Esko, Tonu, Hayward, Caroline, Johansson, Åsa, Gyllensten, Ulf, Powell, Nick, Hansson, Oskar, Mattsson-Carlgren, Niklas, Joshi, Peter K., Danesh, John, Padyukov, Leonid, Klareskog, Lars, Landén, Mikael, Wilson, James F., Siegbahn, Agneta, Wallentin, Lars, Mälarstig, Anders, Butterworth, Adam S., and Peters, James E.

Published
2023
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4. Author Correction: Genetics of circulating inflammatory proteins identifies drivers of immune-mediated disease risk and therapeutic targets

Author

Zhao, Jing Hua, Stacey, David, Eriksson, Niclas, Macdonald-Dunlop, Erin, Hedman, Åsa K., Kalnapenkis, Anette, Enroth, Stefan, Cozzetto, Domenico, Digby-Bell, Jonathan, Marten, Jonathan, Folkersen, Lasse, Herder, Christian, Jonsson, Lina, Bergen, Sarah E., Gieger, Christian, Needham, Elise J., Surendran, Praveen, Paul, Dirk S., Polasek, Ozren, Thorand, Barbara, Grallert, Harald, Roden, Michael, Võsa, Urmo, Esko, Tonu, Hayward, Caroline, Johansson, Åsa, Gyllensten, Ulf, Powell, Nick, Hansson, Oskar, Mattsson-Carlgren, Niklas, Joshi, Peter K., Danesh, John, Padyukov, Leonid, Klareskog, Lars, Landén, Mikael, Wilson, James F., Siegbahn, Agneta, Wallentin, Lars, Mälarstig, Anders, Butterworth, Adam S., and Peters, James E.

Published
2023
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5. Genomic and drug target evaluation of 90 cardiovascular proteins in 30,931 individuals

Author

Folkersen, Lasse, Gustafsson, Stefan, Wang, Qin, Hansen, Daniel Hvidberg, Hedman, Åsa K., Schork, Andrew, Page, Karen, Zhernakova, Daria V., Wu, Yang, Peters, James, Eriksson, Niclas, Bergen, Sarah E., Boutin, Thibaud S., Bretherick, Andrew D., Enroth, Stefan, Kalnapenkis, Anette, Gådin, Jesper R., Suur, Bianca E., Chen, Yan, Matic, Ljubica, Gale, Jeremy D., Lee, Julie, Zhang, Weidong, Quazi, Amira, Ala-Korpela, Mika, Choi, Seung Hoan, Claringbould, Annique, Danesh, John, Davey Smith, George, de Masi, Federico, Elmståhl, Sölve, Engström, Gunnar, Fauman, Eric, Fernandez, Celine, Franke, Lude, Franks, Paul W., Giedraitis, Vilmantas, Haley, Chris, Hamsten, Anders, Ingason, Andres, Johansson, Åsa, Joshi, Peter K., Lind, Lars, Lindgren, Cecilia M., Lubitz, Steven, Palmer, Tom, Macdonald-Dunlop, Erin, Magnusson, Martin, Melander, Olle, Michaelsson, Karl, Morris, Andrew P., Mägi, Reedik, Nagle, Michael W., Nilsson, Peter M., Nilsson, Jan, Orho-Melander, Marju, Polasek, Ozren, Prins, Bram, Pålsson, Erik, Qi, Ting, Sjögren, Marketa, Sundström, Johan, Surendran, Praveen, Võsa, Urmo, Werge, Thomas, Wernersson, Rasmus, Westra, Harm-Jan, Yang, Jian, Zhernakova, Alexandra, Ärnlöv, Johan, Fu, Jingyuan, Smith, J. Gustav, Esko, Tõnu, Hayward, Caroline, Gyllensten, Ulf, Landen, Mikael, Siegbahn, Agneta, Wilson, James F., Wallentin, Lars, Butterworth, Adam S., Holmes, Michael V., Ingelsson, Erik, and Mälarstig, Anders

Published
2020
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7. Genetic Landscape of the ACE2 Coronavirus Receptor.

Author

Yang Z, Macdonald-Dunlop E, Chen J, Zhai R, Li T, Richmond A, Klarić L, Pirastu N, Ning Z, Zheng C, Wang Y, Huang T, He Y, Guo H, Ying K, Gustafsson S, Prins B, Ramisch A, Dermitzakis ET, Png G, Eriksson N, Haessler J, Hu X, Zanetti D, Boutin T, Hwang SJ, Wheeler E, Pietzner M, Raffield LM, Kalnapenkis A, Peters JE, Viñuela A, Gilly A, Elmståhl S, Dedoussis G, Petrie JR, Polašek O, Folkersen L, Chen Y, Yao C, Võsa U, Pairo-Castineira E, Clohisey S, Bretherick AD, Rawlik K, Esko T, Enroth S, Johansson Å, Gyllensten U, Langenberg C, Levy D, Hayward C, Assimes TL, Kooperberg C, Manichaikul AW, Siegbahn A, Wallentin L, Lind L, Zeggini E, Schwenk JM, Butterworth AS, Michaëlsson K, Pawitan Y, Joshi PK, Baillie JK, Mälarstig A, Reiner AP, Wilson JF, and Shen X

Subjects
Cross-Sectional Studies, Genome-Wide Association Study, Humans, Receptors, Coronavirus, SARS-CoV-2, Angiotensin-Converting Enzyme 2 genetics, COVID-19 genetics
Abstract

Background: SARS-CoV-2, the causal agent of COVID-19, enters human cells using the ACE2 (angiotensin-converting enzyme 2) protein as a receptor. ACE2 is thus key to the infection and treatment of the coronavirus. ACE2 is highly expressed in the heart and respiratory and gastrointestinal tracts, playing important regulatory roles in the cardiovascular and other biological systems. However, the genetic basis of the ACE2 protein levels is not well understood., Methods: We have conducted the largest genome-wide association meta-analysis of plasma ACE2 levels in >28 000 individuals of the SCALLOP Consortium (Systematic and Combined Analysis of Olink Proteins). We summarize the cross-sectional epidemiological correlates of circulating ACE2. Using the summary statistics-based high-definition likelihood method, we estimate relevant genetic correlations with cardiometabolic phenotypes, COVID-19, and other human complex traits and diseases. We perform causal inference of soluble ACE2 on vascular disease outcomes and COVID-19 severity using mendelian randomization. We also perform in silico functional analysis by integrating with other types of omics data., Results: We identified 10 loci, including 8 novel, capturing 30% of the heritability of the protein. We detected that plasma ACE2 was genetically correlated with vascular diseases, severe COVID-19, and a wide range of human complex diseases and medications. An X-chromosome cis-protein quantitative trait loci-based mendelian randomization analysis suggested a causal effect of elevated ACE2 levels on COVID-19 severity (odds ratio, 1.63 [95% CI, 1.10-2.42]; P =0.01), hospitalization (odds ratio, 1.52 [95% CI, 1.05-2.21]; P =0.03), and infection (odds ratio, 1.60 [95% CI, 1.08-2.37]; P =0.02). Tissue- and cell type-specific transcriptomic and epigenomic analysis revealed that the ACE2 regulatory variants were enriched for DNA methylation sites in blood immune cells., Conclusions: Human plasma ACE2 shares a genetic basis with cardiovascular disease, COVID-19, and other related diseases. The genetic architecture of the ACE2 protein is mapped, providing a useful resource for further biological and clinical studies on this coronavirus receptor.

Published
2022
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8. Large-scale cis- and trans-eQTL analyses identify thousands of genetic loci and polygenic scores that regulate blood gene expression.

Author

Võsa U, Claringbould A, Westra HJ, Bonder MJ, Deelen P, Zeng B, Kirsten H, Saha A, Kreuzhuber R, Yazar S, Brugge H, Oelen R, de Vries DH, van der Wijst MGP, Kasela S, Pervjakova N, Alves I, Favé MJ, Agbessi M, Christiansen MW, Jansen R, Seppälä I, Tong L, Teumer A, Schramm K, Hemani G, Verlouw J, Yaghootkar H, Sönmez Flitman R, Brown A, Kukushkina V, Kalnapenkis A, Rüeger S, Porcu E, Kronberg J, Kettunen J, Lee B, Zhang F, Qi T, Hernandez JA, Arindrarto W, Beutner F, Dmitrieva J, Elansary M, Fairfax BP, Georges M, Heijmans BT, Hewitt AW, Kähönen M, Kim Y, Knight JC, Kovacs P, Krohn K, Li S, Loeffler M, Marigorta UM, Mei H, Momozawa Y, Müller-Nurasyid M, Nauck M, Nivard MG, Penninx BWJH, Pritchard JK, Raitakari OT, Rotzschke O, Slagboom EP, Stehouwer CDA, Stumvoll M, Sullivan P, 't Hoen PAC, Thiery J, Tönjes A, van Dongen J, van Iterson M, Veldink JH, Völker U, Warmerdam R, Wijmenga C, Swertz M, Andiappan A, Montgomery GW, Ripatti S, Perola M, Kutalik Z, Dermitzakis E, Bergmann S, Frayling T, van Meurs J, Prokisch H, Ahsan H, Pierce BL, Lehtimäki T, Boomsma DI, Psaty BM, Gharib SA, Awadalla P, Milani L, Ouwehand WH, Downes K, Stegle O, Battle A, Visscher PM, Yang J, Scholz M, Powell J, Gibson G, Esko T, and Franke L

Subjects
Genome-Wide Association Study, Humans, Multifactorial Inheritance genetics, Polymorphism, Single Nucleotide genetics, Transcriptome genetics, Blood Proteins genetics, Gene Expression Regulation genetics, Quantitative Trait Loci genetics
Abstract

Trait-associated genetic variants affect complex phenotypes primarily via regulatory mechanisms on the transcriptome. To investigate the genetics of gene expression, we performed cis- and trans-expression quantitative trait locus (eQTL) analyses using blood-derived expression from 31,684 individuals through the eQTLGen Consortium. We detected cis-eQTL for 88% of genes, and these were replicable in numerous tissues. Distal trans-eQTL (detected for 37% of 10,317 trait-associated variants tested) showed lower replication rates, partially due to low replication power and confounding by cell type composition. However, replication analyses in single-cell RNA-seq data prioritized intracellular trans-eQTL. Trans-eQTL exerted their effects via several mechanisms, primarily through regulation by transcription factors. Expression of 13% of the genes correlated with polygenic scores for 1,263 phenotypes, pinpointing potential drivers for those traits. In summary, this work represents a large eQTL resource, and its results serve as a starting point for in-depth interpretation of complex phenotypes., (© 2021. The Author(s), under exclusive licence to Springer Nature America, Inc.)

Published
2021
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9. Mendelian randomisation identifies alternative splicing of the FAS death receptor as a mediator of severe COVID-19.

Author

Klaric L, Gisby JS, Papadaki A, Muckian MD, Macdonald-Dunlop E, Zhao JH, Tokolyi A, Persyn E, Pairo-Castineira E, Morris AP, Kalnapenkis A, Richmond A, Landini A, Hedman ÅK, Prins B, Zanetti D, Wheeler E, Kooperberg C, Yao C, Petrie JR, Fu J, Folkersen L, Walker M, Magnusson M, Eriksson N, Mattsson-Carlgren N, Timmers PRHJ, Hwang SJ, Enroth S, Gustafsson S, Vosa U, Chen Y, Siegbahn A, Reiner A, Johansson Å, Thorand B, Gigante B, Hayward C, Herder C, Gieger C, Langenberg C, Levy D, Zhernakova DV, Smith JG, Campbell H, Sundstrom J, Danesh J, Michaëlsson K, Suhre K, Lind L, Wallentin L, Padyukov L, Landén M, Wareham NJ, Göteson A, Hansson O, Eriksson P, Strawbridge RJ, Assimes TL, Esko T, Gyllensten U, Baillie JK, Paul DS, Joshi PK, Butterworth AS, Mälarstig A, Pirastu N, Wilson JF, and Peters JE

Abstract

Severe COVID-19 is characterised by immunopathology and epithelial injury. Proteomic studies have identified circulating proteins that are biomarkers of severe COVID-19, but cannot distinguish correlation from causation. To address this, we performed Mendelian randomisation (MR) to identify proteins that mediate severe COVID-19. Using protein quantitative trait loci (pQTL) data from the SCALLOP consortium, involving meta-analysis of up to 26,494 individuals, and COVID-19 genome-wide association data from the Host Genetics Initiative, we performed MR for 157 COVID-19 severity protein biomarkers. We identified significant MR results for five proteins: FAS, TNFRSF10A, CCL2, EPHB4 and LGALS9. Further evaluation of these candidates using sensitivity analyses and colocalization testing provided strong evidence to implicate the apoptosis-associated cytokine receptor FAS as a causal mediator of severe COVID-19. This effect was specific to severe disease. Using RNA-seq data from 4,778 individuals, we demonstrate that the pQTL at the FAS locus results from genetically influenced alternate splicing causing skipping of exon 6. We show that the risk allele for very severe COVID-19 increases the proportion of transcripts lacking exon 6, and thereby increases soluble FAS. Soluble FAS acts as a decoy receptor for FAS-ligand, inhibiting apoptosis induced through membrane-bound FAS. In summary, we demonstrate a novel genetic mechanism that contributes to risk of severe of COVID-19, highlighting a pathway that may be a promising therapeutic target.

Published
2021
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