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  Genome Analyses of >200,000 Individuals Identify 58 Loci for Chronic Inflammation and Highlight Pathways that Link Inflammation and Complex Disorders

Ligthart, S., Vaez, A., Vosa, U., Stathopoulou, M. G., de Vries, P. S., Prins, B. P., et al. (2018). Genome Analyses of >200,000 Individuals Identify 58 Loci for Chronic Inflammation and Highlight Pathways that Link Inflammation and Complex Disorders. Am J Hum Genet, 103(5), 691-706. doi:10.1016/j.ajhg.2018.09.009.

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Ligthart, S., Author
Vaez, A., Author
Vosa, U., Author
Stathopoulou, M. G., Author
de Vries, P. S., Author
Prins, B. P., Author
Van der Most, P. J., Author
Tanaka, T., Author
Naderi, E., Author
Rose, L. M., Author
Wu, Y., Author
Karlsson, R., Author
Barbalic, M., Author
Lin, H., Author
Pool, R., Author
Zhu, G., Author
Mace, A., Author
Sidore, C., Author
Trompet, S., Author
Mangino, M., Author
Sabater-Lleal, M., AuthorKemp, J. P., AuthorAbbasi, A., AuthorKacprowski, T., AuthorVerweij, N., AuthorSmith, A. V., AuthorHuang, T., AuthorMarzi, C., AuthorFeitosa, M. F., AuthorLohman, K. K., AuthorKleber, M. E., AuthorMilaneschi, Y., AuthorMueller, C., AuthorHuq, M., AuthorVlachopoulou, E., AuthorLyytikainen, L. P., AuthorOldmeadow, C., AuthorDeelen, J.1, Author           Slagboom, P. E., Author           Eiriksdottir, G., AuthorMorris, A. P., AuthorPsaty, B. M., AuthorTracy, R. P., AuthorNolte, I. M., AuthorBoerwinkle, E., AuthorVisvikis-Siest, S., AuthorReiner, A. P., AuthorGross, M., AuthorBis, J. C., AuthorFranke, L., AuthorFranco, O. H., AuthorBenjamin, E. J., AuthorChasman, D. I., AuthorDupuis, J., AuthorSnieder, H., AuthorDehghan, A., AuthorAlizadeh, B. Z., Author more..
Affiliations:
1Deelen – Genetics and Biomarkers of Human Ageing, Research Groups, Max Planck Institute for Biology of Ageing, Max Planck Society, ou_3394006              

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Free keywords: Adolescent Adult Aged Aged, 80 and over Biomarkers/metabolism Bipolar Disorder/genetics/metabolism Body Mass Index C-Reactive Protein/genetics Child Female Genetic Loci/*genetics Genome-Wide Association Study/methods Humans Inflammation/*genetics/metabolism Liver/metabolism/pathology Male Mendelian Randomization Analysis/methods Metabolic Networks and Pathways/*genetics Middle Aged Schizophrenia/genetics/metabolism Young Adult *C-reactive protein *depict *Mendelian randomization *coronary artery disease *genome-wide association study *inflammation *inflammatory disorders *schizophrenia *system biology
 Abstract: C-reactive protein (CRP) is a sensitive biomarker of chronic low-grade inflammation and is associated with multiple complex diseases. The genetic determinants of chronic inflammation remain largely unknown, and the causal role of CRP in several clinical outcomes is debated. We performed two genome-wide association studies (GWASs), on HapMap and 1000 Genomes imputed data, of circulating amounts of CRP by using data from 88 studies comprising 204,402 European individuals. Additionally, we performed in silico functional analyses and Mendelian randomization analyses with several clinical outcomes. The GWAS meta-analyses of CRP revealed 58 distinct genetic loci (p < 5 x 10(-8)). After adjustment for body mass index in the regression analysis, the associations at all except three loci remained. The lead variants at the distinct loci explained up to 7.0% of the variance in circulating amounts of CRP. We identified 66 gene sets that were organized in two substantially correlated clusters, one mainly composed of immune pathways and the other characterized by metabolic pathways in the liver. Mendelian randomization analyses revealed a causal protective effect of CRP on schizophrenia and a risk-increasing effect on bipolar disorder. Our findings provide further insights into the biology of inflammation and could lead to interventions for treating inflammation and its clinical consequences.

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 Dates: 2018-11-012018-11-06
 Publication Status: Issued
 Pages: -
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 Rev. Type: -
 Identifiers: Other: 30388399
DOI: 10.1016/j.ajhg.2018.09.009
ISSN: 1537-6605 (Electronic)0002-9297 (Linking)
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Title: Am J Hum Genet
Source Genre: Journal
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Pages: - Volume / Issue: 103 (5) Sequence Number: - Start / End Page: 691 - 706 Identifier: -