26 results on '"eQTLGen Consortium"'
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2. Mendelian randomization integrating GWAS and eQTL data reveals genetic determinants of complex and clinical traits
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Eleonora Porcu, Sina Rüeger, Kaido Lepik, eQTLGen Consortium, BIOS Consortium, Federico A. Santoni, Alexandre Reymond, and Zoltán Kutalik
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Science - Abstract
Many genetic variants identified in genome-wide association studies are associated with gene expression. Here, Porcu et al. propose a transcriptome-wide summary statistics-based Mendelian randomization approach (TWMR) that, applied to 43 human traits, uncovers hundreds of previously unreported gene–trait associations.
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- 2019
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3. Large-Scale Multi-Omics Studies Provide New Insights into Blood Pressure Regulation
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Zoha Kamali, Jacob M. Keaton, Shaghayegh Haghjooy Javanmard, International Consortium of Blood Pressure, Million Veteran Program, eQTLGen Consortium, BIOS Consortium, Todd L. Edwards, Harold Snieder, and Ahmad Vaez
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blood pressure ,genome ,epigenome ,gene expression ,functional enrichment ,Biology (General) ,QH301-705.5 ,Chemistry ,QD1-999 - Abstract
Recent genome-wide association studies uncovered part of blood pressure’s heritability. However, there is still a vast gap between genetics and biology that needs to be bridged. Here, we followed up blood pressure genome-wide summary statistics of over 750,000 individuals, leveraging comprehensive epigenomic and transcriptomic data from blood with a follow-up in cardiovascular tissues to prioritise likely causal genes and underlying blood pressure mechanisms. We first prioritised genes based on coding consequences, multilayer molecular associations, blood pressure-associated expression levels, and coregulation evidence. Next, we followed up the prioritised genes in multilayer studies of genomics, epigenomics, and transcriptomics, functional enrichment, and their potential suitability as drug targets. Our analyses yielded 1880 likely causal genes for blood pressure, tens of which are targets of the available licensed drugs. We identified 34 novel genes for blood pressure, supported by more than one source of biological evidence. Twenty-eight (82%) of these new genes were successfully replicated by transcriptome-wide association analyses in a large independent cohort (n = ~220,000). We also found a substantial mediating role for epigenetic regulation of the prioritised genes. Our results provide new insights into genetic regulation of blood pressure in terms of likely causal genes and involved biological pathways offering opportunities for future translation into clinical practice.
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- 2022
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4. Genome-wide association analyses identify 143 risk variants and putative regulatory mechanisms for type 2 diabetes
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Angli Xue, Yang Wu, Zhihong Zhu, Futao Zhang, Kathryn E. Kemper, Zhili Zheng, Loic Yengo, Luke R. Lloyd-Jones, Julia Sidorenko, Yeda Wu, eQTLGen Consortium, Allan F. McRae, Peter M. Visscher, Jian Zeng, and Jian Yang
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Science - Abstract
GWAS have so far identified 129 loci associated with type 2 diabetes (T2D). Here, the authors meta-analyse three large T2D GWA studies which uncovers 42 additional loci, further prioritize 33 functional genes using eQTL and mQTL data and propose regulatory mechanisms for three putative T2D genes.
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- 2018
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5. Identifying gene targets for brain-related traits using transcriptomic and methylomic data from blood
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Ting Qi, Yang Wu, Jian Zeng, Futao Zhang, Angli Xue, Longda Jiang, Zhihong Zhu, Kathryn Kemper, Loic Yengo, Zhili Zheng, eQTLGen Consortium, Riccardo E. Marioni, Grant W. Montgomery, Ian J. Deary, Naomi R. Wray, Peter M. Visscher, Allan F. McRae, and Jian Yang
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Science - Abstract
To comprehend the genetic regulatory mechanisms underlying brain-related traits in humans, Qi et al. estimate the correlation of expression and DNA methylation QTL effects in cis between blood and brain and show that using blood eQTL/mQTL data of large sample size can increase power in gene discovery for brain-related traits and diseases.
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- 2018
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6. Genomics of 1 million parent lifespans implicates novel pathways and common diseases and distinguishes survival chances
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Paul RHJ Timmers, Ninon Mounier, Kristi Lall, Krista Fischer, Zheng Ning, Xiao Feng, Andrew D Bretherick, David W Clark, eQTLGen Consortium, Xia Shen, Tõnu Esko, Zoltán Kutalik, James F Wilson, and Peter K Joshi
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genomics ,longevity ,lifespan ,complex trait ,Medicine ,Science ,Biology (General) ,QH301-705.5 - Abstract
We use a genome-wide association of 1 million parental lifespans of genotyped subjects and data on mortality risk factors to validate previously unreplicated findings near CDKN2B-AS1, ATXN2/BRAP, FURIN/FES, ZW10, PSORS1C3, and 13q21.31, and identify and replicate novel findings near ABO, ZC3HC1, and IGF2R. We also validate previous findings near 5q33.3/EBF1 and FOXO3, whilst finding contradictory evidence at other loci. Gene set and cell-specific analyses show that expression in foetal brain cells and adult dorsolateral prefrontal cortex is enriched for lifespan variation, as are gene pathways involving lipid proteins and homeostasis, vesicle-mediated transport, and synaptic function. Individual genetic variants that increase dementia, cardiovascular disease, and lung cancer – but not other cancers – explain the most variance. Resulting polygenic scores show a mean lifespan difference of around five years of life across the deciles.Editorial note: This article has been through an editorial process in which the authors decide how to respond to the issues raised during peer review. The Reviewing Editor's assessment is that all the issues have been addressed (see decision letter).
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- 2019
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7. C-reactive protein upregulates the whole blood expression of CD59 - an integrative analysis.
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Kaido Lepik, Tarmo Annilo, Viktorija Kukuškina, eQTLGen Consortium, Kai Kisand, Zoltán Kutalik, Pärt Peterson, and Hedi Peterson
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Biology (General) ,QH301-705.5 - Abstract
Elevated C-reactive protein (CRP) concentrations in the blood are associated with acute and chronic infections and inflammation. Nevertheless, the functional role of increased CRP in multiple bacterial and viral infections as well as in chronic inflammatory diseases remains unclear. Here, we studied the relationship between CRP and gene expression levels in the blood in 491 individuals from the Estonian Biobank cohort, to elucidate the role of CRP in these inflammatory mechanisms. As a result, we identified a set of 1,614 genes associated with changes in CRP levels with a high proportion of interferon-stimulated genes. Further, we performed likelihood-based causality model selection and Mendelian randomization analysis to discover causal links between CRP and the expression of CRP-associated genes. Strikingly, our computational analysis and cell culture stimulation assays revealed increased CRP levels to drive the expression of complement regulatory protein CD59, suggesting CRP to have a critical role in protecting blood cells from the adverse effects of the immune defence system. Our results show the benefit of integrative analysis approaches in hypothesis-free uncovering of causal relationships between traits.
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- 2017
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8. Demuxafy: improvement in droplet assignment by integrating multiple single-cell demultiplexing and doublet detection methods
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Drew Neavin, Anne Senabouth, Himanshi Arora, Jimmy Tsz Hang Lee, Aida Ripoll-Cladellas, sc-eQTLGen Consortium, Lude Franke, Shyam Prabhakar, Chun Jimmie Ye, Davis J. McCarthy, Marta Melé, Martin Hemberg, and Joseph E. Powell
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Single-cell analysis ,Genetic demultiplexing ,Doublet detecting ,Biology (General) ,QH301-705.5 ,Genetics ,QH426-470 - Abstract
Abstract Recent innovations in single-cell RNA-sequencing (scRNA-seq) provide the technology to investigate biological questions at cellular resolution. Pooling cells from multiple individuals has become a common strategy, and droplets can subsequently be assigned to a specific individual by leveraging their inherent genetic differences. An implicit challenge with scRNA-seq is the occurrence of doublets—droplets containing two or more cells. We develop Demuxafy, a framework to enhance donor assignment and doublet removal through the consensus intersection of multiple demultiplexing and doublet detecting methods. Demuxafy significantly improves droplet assignment by separating singlets from doublets and classifying the correct individual.
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- 2024
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9. Mendelian randomization integrating GWAS and eQTL data reveals genetic determinants of complex and clinical traits
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Porcu, Eleonora, Rüeger, Sina, Lepik, Kaido, eQTLGen Consortium, BIOS Consortium, Santoni, Federico A., Reymond, Alexandre, and Kutalik, Zoltán
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- 2019
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10. Triangulating Molecular Evidence to Prioritize Candidate Causal Genes at Established Atopic Dermatitis Loci
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Sobczyk, MK, Richardson, TG, Zuber, V, Min, JL, Gaunt, TR, Paternoster, L, EQTLGen Consortium, BIOS Consortium, and GoDMC
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0301 basic medicine ,bp, base pair ,Candidate gene ,QTL, quantitative trait locus ,Eczema ,Genome-wide association study ,Biochemistry ,eQTL, expression quantitative trait locus ,0302 clinical medicine ,GWAS ,eQTLGen Consortium ,atopic dermatitis ,TWAS, transcriptome-wide association study ,GTEx, Genotype-Tissue Expression ,Atopic dermatitis ,STAT, signal transducer and activator of transcription ,030220 oncology & carcinogenesis ,DNA methylation ,Genetics/Genetic Disease ,Original Article ,BIOS Consortium ,eczema ,Quantitative Trait Loci ,eQTLGen Consortium, BIOS Consortium, GoDMC ,Locus (genetics) ,Dermatology ,triangulation ,Computational biology ,Quantitative trait locus ,Biology ,eQTL ,Article ,Dermatitis, Atopic ,03 medical and health sciences ,medicine ,Humans ,INPP5D ,1112 Oncology and Carcinogenesis ,Molecular Biology ,Gene ,Th, T helper ,Genetic association ,genome-wide association study ,GoDMC ,Dermatology & Venereal Diseases ,1103 Clinical Sciences ,Cell Biology ,AD, atopic dermatitis ,medicine.disease ,030104 developmental biology ,ComputingMethodologies_PATTERNRECOGNITION ,Genetic Loci ,Expression quantitative trait loci ,Surgery ,Genome-Wide Association Study - Abstract
BackgroundGenome-wide association studies for atopic dermatitis (AD, eczema) have identified 25 reproducible loci associated in populations of European descent. We attempt to prioritise candidate causal genes at these loci using a multifaceted bioinformatic approach and extensive molecular resources compiled into a novel pipeline: ADGAPP (Atopic Dermatitis GWAS Annotation & Prioritisation Pipeline).MethodsWe identified a comprehensive list of 103 accessible molecular resources for AD aetiology, including expression, protein and DNA methylation QTL datasets in skin or immune-relevant tissues. These were used to test for overlap with GWAS signals (including colocalisation testing where possible). This was combined with functional annotation based on regulatory variant prediction, and independent genomic features such as chromatin accessibility, promoter-enhancer interactions, splicing sites, non-coding RNA regions, differential expression studies involving eczema patients and fine-mapping of causal variants. For each gene at each locus, we condensed the evidence into a prioritisation score.ResultsAcross the 25 AD loci investigated, we detected significant enrichment of genes with adaptive immune regulatory function and epidermal barrier formation among the top prioritised genes. At 8 loci, we were able to prioritise a single candidate gene (IL6R, ADO, PRR5L, IL7R, ETS1, INPP5D, MDM1, TRAF3). At a further 2 loci, 2 candidate genes emerge (IL18R1/IL18RAP, LRRC32/EMSY). For the majority of these, the prioritised gene has been previously proposed as a plausible candidate, but the evidence we combine here, strengthens the case for many of these. In addition, at 6 of the 25 loci, our ADGAPP analysis prioritises novel alternative candidates (SLC22A5, IL2RA, MDM1, DEXI, ADO, STMN3), highlighting the importance of this comprehensive approach.ConclusionsOur ADGAPP analysis provides additional support for previously implicated genes at several AD GWAS loci, as well as evidence for plausible novel candidates at others. We highlight several genes with good/converging evidence of involvement in AD that represent potential new targets for drug discovery.
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- 2021
11. Genome-wide analysis identifies genetic effects on reproductive success and ongoing natural selection at the FADS locus.
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Mathieson, Iain, Day, Felix R., Barban, Nicola, Tropf, Felix C., Brazel, David M., eQTLGen Consortium, BIOS Consortium, van Heemst, Diana, Vaez, Ahmad, van Zuydam, Natalie, Bitarello, Bárbara D., Gardner, Eugene J., Akimova, Evelina T., Azad, Ajuna, Bergmann, Sven, Bielak, Lawrence F., Boomsma, Dorret I., Bosak, Kristina, Brumat, Marco, and Buring, Julie E.
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- 2023
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12. OTTERS: a powerful TWAS framework leveraging summary-level reference data.
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Dai, Qile, Zhou, Geyu, Zhao, Hongyu, Võsa, Urmo, Franke, Lude, Battle, Alexis, Teumer, Alexander, Lehtimäki, Terho, Raitakari, Olli T., Esko, Tõnu, eQTLGen Consortium, Agbessi, Mawussé, Ahsan, Habibul, Alves, Isabel, Andiappan, Anand Kumar, Arindrarto, Wibowo, Awadalla, Philip, Beutner, Frank, Jan Bonder, Marc, and Boomsma, Dorret I.
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DISEASE risk factors ,MONOGENIC & polygenic inheritance (Genetics) ,OTTERS ,SAMPLE size (Statistics) - Abstract
Most existing TWAS tools require individual-level eQTL reference data and thus are not applicable to summary-level reference eQTL datasets. The development of TWAS methods that can harness summary-level reference data is valuable to enable TWAS in broader settings and enhance power due to increased reference sample size. Thus, we develop a TWAS framework called OTTERS (Omnibus Transcriptome Test using Expression Reference Summary data) that adapts multiple polygenic risk score (PRS) methods to estimate eQTL weights from summary-level eQTL reference data and conducts an omnibus TWAS. We show that OTTERS is a practical and powerful TWAS tool by both simulations and application studies. Here, the authors present a TWAS framework OTTERS that adapts multiple polygenic risk score methods to estimate eQTL weights from summary-level eQTL data. Both simulation and real studies show OTTERS is powerful across a wide range of genetic architectures. [ABSTRACT FROM AUTHOR]
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- 2023
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13. Single-cell RNA-sequencing of peripheral blood mononuclear cells reveals widespread, context-specific gene expression regulation upon pathogenic exposure.
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Oelen, Roy, de Vries, Dylan H., Brugge, Harm, Gordon, M. Grace, Vochteloo, Martijn, single-cell eQTLGen consortium, BIOS Consortium, Ye, Chun J., Westra, Harm-Jan, Franke, Lude, and van der Wijst, Monique G. P.
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The host's gene expression and gene regulatory response to pathogen exposure can be influenced by a combination of the host's genetic background, the type of and exposure time to pathogens. Here we provide a detailed dissection of this using single-cell RNA-sequencing of 1.3M peripheral blood mononuclear cells from 120 individuals, longitudinally exposed to three different pathogens. These analyses indicate that cell-type-specificity is a more prominent factor than pathogen-specificity regarding contexts that affect how genetics influences gene expression (i.e., eQTL) and co-expression (i.e., co-expression QTL). In monocytes, the strongest responder to pathogen stimulations, 71.4% of the genetic variants whose effect on gene expression is influenced by pathogen exposure (i.e., response QTL) also affect the co-expression between genes. This indicates widespread, context-specific changes in gene expression level and its regulation that are driven by genetics. Pathway analysis on the CLEC12A gene that exemplifies cell-type-, exposure-time- and genetic-background-dependent co-expression interactions, shows enrichment of the interferon (IFN) pathway specifically at 3-h post-exposure in monocytes. Similar genetic background-dependent association between IFN activity and CLEC12A co-expression patterns is confirmed in systemic lupus erythematosus by in silico analysis, which implies that CLEC12A might be an IFN-regulated gene. Altogether, this study highlights the importance of context for gaining a better understanding of the mechanisms of gene regulation in health and disease. Not just differential gene expression but also differential gene regulation in immune cells account for individual differences in the immune response. Authors show here by single-cell RNA-sequencing of peripheral blood mononuclear cells from a large cohort of genetically diverse individuals that gene expression and regulatory changes in these cells depend on the context of and interactions between cell types, genetics, type of pathogen and time after exposure. [ABSTRACT FROM AUTHOR]
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- 2022
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14. Identification of 371 genetic variants for age at first sex and birth linked to externalising behaviour.
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Mills, Melinda C., Tropf, Felix C., Brazel, David M., van Zuydam, Natalie, Vaez, Ahmad, eQTLGen Consortium, Agbessi, Mawussé, Ahsan, Habibul, Alves, Isabel, Andiappan, Anand Kumar, Arindrarto, Wibowo, Awadalla, Philip, Battle, Alexis, Beutner, Frank, Jan Bonder, Marc, Boomsma, Dorret I., Christiansen, Mark W., Claringbould, Annique, Deelen, Patrick, and Esko, Tõnu
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- 2021
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15. Genome-wide association study identifies 30 loci associated with bipolar disorder
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eQTLGen Consortium, BIOS Consortium, and the Bipolar Disorder Working Group of the Psychiatric Genomics Consortium
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Male ,Schizophrenia/genetics ,Systems Biology ,Research Support, Non-U.S. Gov't ,Research Support, N.I.H., Intramural ,Polymorphism, Single Nucleotide ,Bipolar Disorder/classification ,Genetic Loci ,Case-Control Studies ,Genetics ,Journal Article ,Humans ,Female ,Genetic Predisposition to Disease ,Depressive Disorder, Major/genetics ,Psychotic Disorders/genetics ,Genome-Wide Association Study ,Meta-Analysis - Abstract
Bipolar disorder is a highly heritable psychiatric disorder. We performed a genome-wide association study (GWAS) including 20,352 cases and 31,358 controls of European descent, with follow-up analysis of 822 variants with P
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- 2019
16. Publisher Correction: Identification of 371 genetic variants for age at first sex and birth linked to externalising behavior.
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Mills, Melinda C., Tropf, Felix C., Brazel, David M., van Zuydam, Natalie, Vaez, Ahmad, eQTLGen Consortium, Agbessi, Mawussé, Ahsan, Habibul, Alves, Isabel, Andiappan, Anand Kumar, Arindrarto, Wibowo, Awadalla, Philip, Battle, Alexis, Beutner, Frank, Jan Bonder, Marc, Boomsma, Dorret I., Christiansen, Mark W., Claringbould, Annique, Deelen, Patrick, and Esko, Tõnu
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- 2021
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17. Genome-wide association analyses identify 143 risk variants and putative regulatory mechanisms for type 2 diabetes.
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Xue, Angli, Wu, Yang, Zhu, Zhihong, Zhang, Futao, Kemper, Kathryn E., Zheng, Zhili, Yengo, Loic, Lloyd-Jones, Luke R., Sidorenko, Julia, Wu, Yeda, eQTLGen Consortium, McRae, Allan F., Visscher, Peter M., Zeng, Jian, and Yang, Jian
- Abstract
Type 2 diabetes (T2D) is a very common disease in humans. Here we conduct a meta-analysis of genome-wide association studies (GWAS) with ~16 million genetic variants in 62,892 T2D cases and 596,424 controls of European ancestry. We identify 139 common and 4 rare variants associated with T2D, 42 of which (39 common and 3 rare variants) are independent of the known variants. Integration of the gene expression data from blood (n = 14,115 and 2765) with the GWAS results identifies 33 putative functional genes for T2D, 3 of which were targeted by approved drugs. A further integration of DNA methylation (n = 1980) and epigenomic annotation data highlight 3 genes (CAMK1D, TP53INP1, and ATP5G1) with plausible regulatory mechanisms, whereby a genetic variant exerts an effect on T2D through epigenetic regulation of gene expression. Our study uncovers additional loci, proposes putative genetic regulatory mechanisms for T2D, and provides evidence of purifying selection for T2D-associated variants. GWAS have so far identified 129 loci associated with type 2 diabetes (T2D). Here, the authors meta-analyse three large T2D GWA studies which uncovers 42 additional loci, further prioritize 33 functional genes using eQTL and mQTL data and propose regulatory mechanisms for three putative T2D genes. [ABSTRACT FROM AUTHOR]
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- 2018
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18. Identification of genetic variants that impact gene co-expression relationships using large-scale single-cell data
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Shuang Li, Katharina T. Schmid, Dylan H. de Vries, Maryna Korshevniuk, Corinna Losert, Roy Oelen, Irene V. van Blokland, BIOS Consortium, sc-eQTLgen Consortium, Hilde E. Groot, Morris A. Swertz, Pim van der Harst, Harm-Jan Westra, Monique G.P. van der Wijst, Matthias Heinig, and Lude Franke
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Co-expression QTLs ,scRNA-seq ,eQTL ,Biology (General) ,QH301-705.5 ,Genetics ,QH426-470 - Abstract
Abstract Background Expression quantitative trait loci (eQTL) studies show how genetic variants affect downstream gene expression. Single-cell data allows reconstruction of personalized co-expression networks and therefore the identification of SNPs altering co-expression patterns (co-expression QTLs, co-eQTLs) and the affected upstream regulatory processes using a limited number of individuals. Results We conduct a co-eQTL meta-analysis across four scRNA-seq peripheral blood mononuclear cell datasets using a novel filtering strategy followed by a permutation-based multiple testing approach. Before the analysis, we evaluate the co-expression patterns required for co-eQTL identification using different external resources. We identify a robust set of cell-type-specific co-eQTLs for 72 independent SNPs affecting 946 gene pairs. These co-eQTLs are replicated in a large bulk cohort and provide novel insights into how disease-associated variants alter regulatory networks. One co-eQTL SNP, rs1131017, that is associated with several autoimmune diseases, affects the co-expression of RPS26 with other ribosomal genes. Interestingly, specifically in T cells, the SNP additionally affects co-expression of RPS26 and a group of genes associated with T cell activation and autoimmune disease. Among these genes, we identify enrichment for targets of five T-cell-activation-related transcription factors whose binding sites harbor rs1131017. This reveals a previously overlooked process and pinpoints potential regulators that could explain the association of rs1131017 with autoimmune diseases. Conclusion Our co-eQTL results highlight the importance of studying context-specific gene regulation to understand the biological implications of genetic variation. With the expected growth of sc-eQTL datasets, our strategy and technical guidelines will facilitate future co-eQTL identification, further elucidating unknown disease mechanisms.
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- 2023
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19. Single-cell RNA-sequencing of peripheral blood mononuclear cells reveals widespread, context-specific gene expression regulation upon pathogenic exposure
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Roy Oelen, Dylan H. de Vries, Harm Brugge, M. Grace Gordon, Martijn Vochteloo, single-cell eQTLGen consortium, BIOS Consortium, Chun J. Ye, Harm-Jan Westra, Lude Franke, and Monique G. P. van der Wijst
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Science - Abstract
Not just differential gene expression but also differential gene regulation in immune cells account for individual differences in the immune response. Authors show here by single-cell RNA-sequencing of peripheral blood mononuclear cells from a large cohort of genetically diverse individuals that gene expression and regulatory changes in these cells depend on the context of and interactions between cell types, genetics, type of pathogen and time after exposure.
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- 2022
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20. Optimizing expression quantitative trait locus mapping workflows for single-cell studies
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Anna S. E. Cuomo, Giordano Alvari, Christina B. Azodi, single-cell eQTLGen consortium, Davis J. McCarthy, and Marc Jan Bonder
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Biology (General) ,QH301-705.5 ,Genetics ,QH426-470 - Abstract
Abstract Background Single-cell RNA sequencing (scRNA-seq) has enabled the unbiased, high-throughput quantification of gene expression specific to cell types and states. With the cost of scRNA-seq decreasing and techniques for sample multiplexing improving, population-scale scRNA-seq, and thus single-cell expression quantitative trait locus (sc-eQTL) mapping, is increasingly feasible. Mapping of sc-eQTL provides additional resolution to study the regulatory role of common genetic variants on gene expression across a plethora of cell types and states and promises to improve our understanding of genetic regulation across tissues in both health and disease. Results While previously established methods for bulk eQTL mapping can, in principle, be applied to sc-eQTL mapping, there are a number of open questions about how best to process scRNA-seq data and adapt bulk methods to optimize sc-eQTL mapping. Here, we evaluate the role of different normalization and aggregation strategies, covariate adjustment techniques, and multiple testing correction methods to establish best practice guidelines. We use both real and simulated datasets across single-cell technologies to systematically assess the impact of these different statistical approaches. Conclusion We provide recommendations for future single-cell eQTL studies that can yield up to twice as many eQTL discoveries as default approaches ported from bulk studies.
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- 2021
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21. Genomics of 1 million parent lifespans implicates novel pathways and common diseases and distinguishes survival chances
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Timmers, P.R., Mounier, N., Lall, K., Fischer, K., Ning, Z., Feng, X., Bretherick, A.D., Clark, D.W., Agbessi, M., Ahsan, H., Alves, I., Andiappan, A., Awadalla, P., Battle, A., Bonder, M.J., Boomsma, D., Christiansen, M., Claringbould, A., Deelen, P., van Dongen, J., Esko, T., Favé, M., Franke, L., Frayling, T., Gharib, S.A., Gibson, G., Hemani, G., Jansen, R., Kalnapenkis, A., Kasela, S., Kettunen, J., Kim, Y., Kirsten, H., Kovacs, P., Krohn, K., Kronberg-Guzman, J., Kukushkina, V., Kutalik, Z., Kähönen, M., Lee, B., Lehtimäki, T., Loeffler, M., Marigorta, U., Metspalu, A., van Meurs, J., Milani, L., Müller-Nurasyid, M., Nauck, M., Nivard, M., Penninx, B., Perola, M., Pervjakova, N., Pierce, B., Powell, J., Prokisch, H., Psaty, B.M., Raitakari, O., Ring, S., Ripatti, S., Rotzschke, O., Ruëger, S., Saha, A., Scholz, M., Schramm, K., Seppälä, I., Stumvoll, M., Sullivan, P., Teumer, A., Thiery, J., Tong, L., Tönjes, A., Verlouw, J., Visscher, P.M., Võsa, U., Völker, U., Yaghootkar, H., Yang, J., Zeng, B., Zhang, F., Shen, X., Wilson, J.F., Joshi, P.K., eQTLGen Consortium, Psychiatry, Amsterdam Neuroscience - Complex Trait Genetics, APH - Mental Health, and APH - Digital Health
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Male ,Parents ,Multifactorial Inheritance ,QH301-705.5 ,Science ,Longevity ,Complex Trait ,Genetics ,Genomics ,Human ,Lifespan ,Age Factors ,Aged ,Bayes Theorem ,DNA Methylation/genetics ,Disease/genetics ,Female ,Genetic Loci ,Genome-Wide Association Study ,Humans ,Longevity/genetics ,Middle Aged ,Multifactorial Inheritance/genetics ,Polymorphism, Single Nucleotide/genetics ,Risk Factors ,Sex Characteristics ,Signal Transduction/genetics ,Survival Analysis ,complex trait ,genetics ,genomics ,human ,lifespan ,longevity ,Polymorphism, Single Nucleotide ,Research Communication ,Disease ,Biology (General) ,Genetics and Genomics ,DNA Methylation ,Medicine ,Signal Transduction - Abstract
We use a genome-wide association of 1 million parental lifespans of genotyped subjects and data on mortality risk factors to validate previously unreplicated findings near CDKN2B-AS1, ATXN2/BRAP, FURIN/FES, ZW10, PSORS1C3, and 13q21.31, and identify and replicate novel findings near ABO, ZC3HC1, and IGF2R. We also validate previous findings near 5q33.3/EBF1 and FOXO3, whilst finding contradictory evidence at other loci. Gene set and cell-specific analyses show that expression in foetal brain cells and adult dorsolateral prefrontal cortex is enriched for lifespan variation, as are gene pathways involving lipid proteins and homeostasis, vesicle-mediated transport, and synaptic function. Individual genetic variants that increase dementia, cardiovascular disease, and lung cancer – but not other cancers – explain the most variance. Resulting polygenic scores show a mean lifespan difference of around five years of life across the deciles. Editorial note: This article has been through an editorial process in which the authors decide how to respond to the issues raised during peer review. The Reviewing Editor's assessment is that all the issues have been addressed (see decision letter)., eLife digest Ageing happens to us all, and as the cabaret singer Maurice Chevalier pointed out, "old age is not that bad when you consider the alternative". Yet, the growing ageing population of most developed countries presents challenges to healthcare systems and government finances. For many older people, long periods of ill health are part of the end of life, and so a better understanding of ageing could offer the opportunity to prolong healthy living into old age. Ageing is complex and takes a long time to study – a lifetime in fact. This makes it difficult to discern its causes, among the countless possibilities based on an individual’s genes, behaviour or environment. While thousands of regions in an individual’s genetic makeup are known to influence their risk of different diseases, those that affect how long they will live have proved harder to disentangle. Timmers et al. sought to pinpoint such regions, and then use this information to predict, based on their DNA, whether someone had a better or worse chance of living longer than average. The DNA of over 500,000 people was read to reveal the specific ‘genetic fingerprints’ of each participant. Then, after asking each of the participants how long both of their parents had lived, Timmers et al. pinpointed 12 DNA regions that affect lifespan. Five of these regions were new and had not been linked to lifespan before. Across the twelve as a whole several were known to be involved in Alzheimer’s disease, smoking-related cancer or heart disease. Looking at the entire genome, Timmers et al. could then predict a lifespan score for each individual, and when they sorted participants into ten groups based on these scores they found that top group lived five years longer than the bottom, on average. Many factors beside genetics influence how long a person will live and our lifespan cannot be read from our DNA alone. Nevertheless, Timmers et al. had hoped to narrow down their search and discover specific genes that directly influence how quickly people age, beyond diseases. If such genes exist, their effects were too small to be detected in this study. The next step will be to expand the study to include more participants, which will hopefully pinpoint further genomic regions and help disentangle the biology of ageing and disease.
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- 2019
22. Genome-wide association analyses of risk tolerance and risky behaviors in over 1 million individuals identify hundreds of loci and shared genetic influences
- Author
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Karlsson Linnér, Richard, Biroli, Pietro, Kong, Edward, Meddens, S. Fleur W., Wedow, Robbee, Fontana, Mark Alan, Lebreton, Maël, Tino, Stephen P., Abdellaoui, Abdel, Hammerschlag, Anke R., Nivard, Michel G., Okbay, Aysu, Rietveld, Cornelius A., Timshel, Pascal N., Trzaskowski, Maciej, Vlaming, Ronald de, Zünd, Christian L., Bao, Yanchun, Buzdugan, Laura, Caplin, Ann H., Chen, Chia-Yen, Eibich, Peter, Fontanillas, Pierre, Gonzalez, Juan R., Joshi, Peter K., Karhunen, Ville, Kleinman, Aaron, Levin, Remy Z., Lill, Christina M., Meddens, Gerardus A., Muntané, Gerard, Sanchez-Roige, Sandra, Rooij, Frank J. van, Taskesen, Erdogan, Yang, Wu, Zhang, Futao, Agee, Michelle, Alipanahi, Babak, Bell, Robert K., Bryc, Katarzyna, Elson, Sarah L., Furlotte, Nicholas A., Huber, Karen E., Litterman, Nadia K., Mccreight, Jennifer C., Mcintyre, Matthew H., Mountain, Joanna L., Northover, Carrie A. M., Pitts, Steven J., Sathirapongsasuti, J. Fah, Sazonova, Olga V., Shelton, Janie F., Shringarpure, Suyash, Tian, Chao, Tung, Joyce Y., Vacic, Vladimir, Wilson, Catherine H., Agbessi, Mawussé, Ahsan, Habibul, Alves, Isabel, Andiappan, Anand, Awadalla, Philip, Battle, Alexis, Beutner, Frank, Jan Bonder, Marc, Boomsma, Dorret I., Christiansen, Mark, Claringbould, Annique, Deelen, Patrick, Esko, Tõnu, Favé, Marie-Julie, Franke, Lude, Frayling, Timothy, Gharib, Sina A., Gibson, Gregory, Heijmans, Bastiaan, Hemani, Gibran, Jansen, Rick, Kähönen, Mika, Kalnapenkis, Anette, Kasela, Silva, Kettunen, Johannes, Kim, Yungil, Kirsten, Holger, Kovacs, Peter, Krohn, Knut, Kronberg-Guzman, Jaanika, Kukushkina, Viktorija, Kutalik, Zoltan, Lee, Bernett, Lehtimäki, Terho, Loeffler, Markus, Marigorta, Urko M., Metspalu, Andres, Milani, Lili, Montgomery, Grant W., Müller-Nurasyid, Martina, Nauck, Matthias, Penninx, Brenda, Perola, Markus, Pervjakova, Natalia, Pierce, Brandon, Powell, Joseph, Prokisch, Holger, Psaty, Bruce M., Raitakari, Olli, Ring, Susan, Ripatti, Samuli, Rotzchke, Olaf, Rüeger, Sina, Saha, Ashis, Scholz, Markus, Schramm, Katharina, Seppälä, Ilkka, Stumvoll, Michael, Sullivan, Patrick, Hoen, Peter-Bram t, Teumer, Alexander, Thiery, Joachim, Tong, Lin, Tönjes, Anke, Dongen, Jenny van, Meurs, Joyce van, Verlouw, Joost, Visscher, Peter M., Völker, Uwe, Võsa, Urmo, Westra, Harm-Jan, Yaghootkar, Hanieh, Yang, Jian, Zeng, Biao, Beauchamp, Jonathan P., Lee, James J., Pers, Tune H., Turley, Patrick, Chen, Guo-Bo, Emilsson, Valur, Oskarsson, Sven, Pickrell, Joseph K., Thom, Kevin, Timshel, Pascal, de Vlaming, Ronald, Ahluwalia, Tarunveer S., Bacelis, Jonas, Baumbach, Clemens, Bjornsdottir, Gyda, Brandsma, Johannes H., Concas, Maria Pina, Derringer, Jaime, Galesloot, Tessel E., Girotto, Giorgia, Gupta, Richa, Hall, Leanne M., Harris, Sarah E., Hofer, Edith, Horikoshi, Momoko, Huffman, Jennifer E., Kaasik, Kadri, Kalafati, Ioanna P., Karlsson, Robert, Kong, Augustine, Lahti, Jari, Lee, Sven J. van der, de Leeuw, Christiaan, Lind, Penelope A., Lindgren, Karl-Oskar, Liu, Tian, Mangino, Massimo, Marten, Jonathan, Mihailov, Evelin, Miller, Michael B., Most, Peter J. van der, Oldmeadow, Christopher, Payton, Antony, Peyrot, Wouter J., Qian, Yong, Rueedi, Rico, Salvi, Erika, Schmidt, Börge, Schraut, Katharina E., Shi, Jianxin, Smith, Albert V., Poot, Raymond A., Pourcain, Beate St, Thorleifsson, Gudmar, Verweij, Niek, Vuckovic, Dragana, Wellmann, Juergen, Yang, Jingyun, Zhao, Wei, Zhu, Zhihong, Alizadeh, Behrooz Z., Amin, Najaf, Bakshi, Andrew, Baumeister, Sebastian E., Biino, Ginevra, Bønnelykke, Klaus, Boyle, Patricia A., Campbell, Harry, Cappuccio, Francesco P., Davies, Gail, De Neve, Jan-Emmanuel, Deloukas, Panos, Demuth, Ilja, Ding, Jun, Eisele, Lewin, Eklund, Niina, Evans, David M., Faul, Jessica D., Feitosa, Mary F., Forstner, Andreas J., Gandin, Ilaria, Gunnarsson, Bjarni, Halldórsson, Bjarni V., Harris, Tamara B., Heath, Andrew C., Hocking, Lynne J., Holliday, Elizabeth G., Homuth, Georg, Horan, Michael A., Hottenga, Jouke-Jan, de Jager, Philip L., Jugessur, Astanand, Kaakinen, Marika A., Kanoni, Stavroula, Keltigangas-Järvinen, Liisa, Kiemeney, Lambertus A. L. M., Kolcic, Ivana, Koskinen, Seppo, Kraja, Aldi T., Kroh, Martin, Latvala, Antti, Launer, Lenore J., Lebreton, Maël P., Levinson, Douglas F., Lichtenstein, Paul, Lichtner, Peter, Liewald, David C. M., Loukola, Anu, Madden, Pamela A., Mägi, Reedik, Mäki-Opas, Tomi, Marioni, Riccardo E., Marques-Vidal, Pedro, Mcmahon, George, Meisinger, Christa, Meitinger, Thomas, Milaneschi, Yusplitri, Myhre, Ronny, Nelson, Christopher P., Nyholt, Dale R., Ollier, William E. R., Palotie, Aarno, Paternoster, Lavinia, Pedersen, Nancy L., Petrovic, Katja E., Porteous, David J., Räikkönen, Katri, Ring, Susan M., Robino, Antonietta, Rostapshova, Olga, Rudan, Igor, Rustichini, Aldo, Salomaa, Veikko, Sanders, Alan R., Sarin, Antti-Pekka, Schmidt, Helena, Scott, Rodney J., Smith, Blair H., Smith, Jennifer A., Staessen, Jan A., Steinhagen-Thiessen, Elisabeth, Strauch, Konstantin, Terracciano, Antonio, Tobin, Martin D., Ulivi, Sheila, Vaccargiu, Simona, Quaye, Lydia, Venturini, Cristina, Vinkhuyzen, Anna A. E., Völzke, Henry, Vonk, Judith M., Vozzi, Diego, Waage, Johannes, Ware, Erin B., Willemsen, Gonneke, Attia, John R., Bennett, David A., Berger, Klaus, Bertram, Lars, Bisgaard, Hans, Borecki, Ingrid B, Bültmann, Ute, Chabris, Christopher F., Cucca, Francesco, Cusi, Daniele, Deary, Ian J., Dedoussis, George V., Duijn, Cornelia M. van, Eriksson, Johan G., Franke, Barbara, Gasparini, Paolo, Gejman, Pablo V., Gieger, Christian, Grabe, Hans-Jörgen, Gratten, Jacob, Groenen, Patrick J. F., Gudnason, Vilmundur, Harst, Pim van der, Hayward, Caroline, Hinds, David A., Hoffmann, Wolfgang, Hyppönen, Elina, Iacono, William G., Jacobsson, Bo, Järvelin, Marjo-Riitta, Jöckel, Karl-Heinz, Kaprio, Jaakko, Kardia, Sharon L. R., Lehrer, Steven F., Magnusson, Patrik K. E., Martin, Nicholas G., Mcgue, Matt, Pendleton, Neil, Pirastu, Nicola, Pirastu, Mario, Polasek, Ozren, Posthuma, Danielle, Power, Christine, Province, Michael A., Samani, Nilesh J., Schlessinger, David, Schmidt, Reinhold, Sørensen, Thorkild I. A., Spector, Tim D., Stefansson, Kari, Thorsteinsdottir, Unnur, Thurik, A. Roy, Timpson, Nicholas J., Tiemeier, Henning, Uitterlinden, André G., Vitart, Veronique, Vollenweider, Peter, Weir, David R., Wilson, James F., Wright, Alan F., Conley, Dalton C., Krueger, Robert F., Smith, George Davey, Hofman, Albert, Laibson, David I., Medland, Sarah E., Meyer, Michelle N., Johannesson, Magnus, Koellinger, Philipp D., Cesarini, David, Benjamin, Daniel J., Auton, Adam, Boardman, Jason D., Clark, David W., Conlin, Andrew, Dolan, Conor C., Fischbacher, Urs, Harris, Kathleen Mullan, Hasler, Gregor, Ikram, Mohammad A., Jain, Sonia, Kessler, Ronald C., Kooyman, Maarten, Mackillop, James, Männikkö, Minna, Morcillo-Suarez, Carlos, Mcqueen, Matthew B., Schmidt, Klaus M., Smart, Melissa C., Sutter, Matthias, White, Jon, Wit, Harriet de, Fehr, Ernst, Kumari, Meena, Laibson, David, Navarro, Arcadi, Palmer, Abraham A., Schunk, Daniel, Stein, Murray B., Svento, Rauli, Timmers, Paul R. H. J., Ursano, Robert J., Wagner, Gert G., Adult Psychiatry, APH - Mental Health, Psychiatry, Amsterdam Neuroscience - Complex Trait Genetics, Human genetics, Amsterdam Reproduction & Development (AR&D), APH - Digital Health, 23and Me Research Team, eQTLgen Consortium, International Cannabis Consortium, Economics, Biological Psychology, Complex Trait Genetics, APH - Methodology, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, APH - Health Behaviors & Chronic Diseases, APH - Personalized Medicine, Tinbergen Institute, 23andme Research Team, Psychiatric Genomics Consortium, Social Science Genetic Association Consortium, Linner Richard Karlsson, Biroli P, Kong Edward, Meddens Fleur W., Wedow Robbee, Fontana Mark Alan, Lebreton Mael, Tino Stephen P., Abdellaoui Abdel, Hammerschlag Anke R., Nivard Michel G., Okbay Aysu, Rietveld Cornelius A., Timshel Pascal N., Trzaskowski Maciej, de Vlaming Ronald, Zund Christian L., Bao Yanchun, Buzdugan Laura, Caplin Ann H., Chen Chia-Yen, Eibich Peter, Fontanillas Pierre, Gonzalez Juan R., Joshi Peter K., Karhunen Ville, Kleinman Aaron, Levin Remy Z., Lill Christina M., Meddens Gerardus A., Muntane Gerard, Sanchez-Roige Sandra, van Rooij Frank J., Taskesen Erdogan, Wu Yang, Zhang Futao, Agee Michelle, Alipanahi Babak, Bell Robert K., Bryc Katarzyna, Elson Sarah L., Furlotte Nicholas A., Huber Karen E., Litterman Nadia K., McCreight Jennifer C., McIntyre Matthew H., Mountain Joanna L., Northover Carrie A. M., Pitts Steven J., Sathirapongsasuti J. Fah, Sazonova Olga V., Shelton Janie F., Shringarpure Suyash, Tian Chao, Tung Joyce Y., Vacic Vladimir, Wilson Catherine H., Agbessi Mawusse, Ahsan Habibul, Alves Isabel, Andiappan Anand, Awadalla Philip, Battle Alexi, Beutner Frank, Bonder Marc Jan, Boomsma Dorret I., Christiansen Mark, Claringbould Annique, Deelen Patrick, Esko Tonu, Fave Marie-Julie, Franke Lude, Frayling Timothy, Gharib Sina A., Gibson Gregory, Heijmans Bastiaan, Hemani Gibran, Jansen Rick, Kahonen Mika, Kalnapenkis Anette, Kasela Silva, Kettunen Johanne, Kim Yungil, Kirsten Holger, Kovacs Peter, Krohn Knut, Kronberg-Guzman Jaanika, Kukushkina Viktorija, Kutalik Zoltan, Lee Bernett, Lehtimaki Terho, Loeffler Marku, Marigorta Urko M., Metspalu Andre, Milani Lili, Montgomery Grant W., Mueller-Nurasyid Martina, Nauck Matthia, Penninx Brenda, Perola Marku, Pervjakova Natalia, Pierce Brandon, Powell Joseph, Prokisch Holger, Psaty Bruce M., Raitakari Olli, Ring Susan, Ripatti Samuli, Rotzchke Olaf, Rueger Sina, Saha Ashi, Scholz Marku, Schramm Katharina, Seppala Ilkka, Stumvoll Michael, Sullivan Patrick, Hoen Peter-Bramt, Teumer Alexander, Thiery Joachim, Tong Lin, Tonjes Anke, van Dongen Jenny, van Meurs Joyce, Verlouw Joost, Visscher Peter M., Voelker Uwe, Vosa Urmo, Westra Harm-Jan, Yaghootkar Hanieh, Yang Jian, Zeng Biao, Lee James J., Pers Tune H., Turley Patrick, Chen Guo-Bo, Emilsson Valur, Oskarsson Sven, Pickrell Joseph K., Thom Kevin, Timshel Pascal, Ahluwalia Tarunveer S., Bacelis Jona, Baumbach Clemen, Bjornsdottir Gyda, Brandsma Johannes H., Concas Maria Pina, Derringer Jaime, Galesloot Tessel E., Girotto Giorgia, Gupta Richa, Hall Leanne M., Harris Sarah E., Hofer Edith, Horikoshi Momoko, Huffman Jennifer E., Kaasik Kadri, Kalafati Ioanna P., Kong Augustine, Lahti Jari, van der Lee Sven J., de Leeuw Christiaan, Lind Penelope A., Lindgren Karl-Oskar, Liu Tian, Mangino Massimo, Marten Jonathan, Mihailov Evelin, Miller Michael B., van der Most Peter J., Oldmeadow Christopher, Payton Antony, Peyrot Wouter J., Qian Yong, Rueedi Rico, Salvi Erika, Schmidt Boerge, Schraut Katharina E., Shi Jianxin, Smith Albert V., Poot Raymond A., St Pourcain Beate, Thorleifsson Gudmar, Verweij Niek, Vuckovic Dragana, Wellmann Juergen, Yang Jingyun, Zhao Wei, Zhu Zhihong, Alizadeh Behrooz Z., Amin Najaf, Bakshi Andrew, Baumeister Sebastian E., Biino Ginevra, Bonnelykke Klau, Boyle Patricia A., Campbell Harry, Cappuccio Francesco P., Davies Gail, De Neve Jan-Emmanuel, Deloukas Pano, Demuth Ilja, Ding Jun, Eisele Lewin, Eklund Niina, Evans David M., Faul Jessica D., Feitosa Mary F., Forstner Andreas J., Gandin Ilaria, Gunnarsson Bjarni, Halldorsson Bjarni V., Harris Tamara B., Heath Andrew C., Hocking Lynne J., Holliday Elizabeth G., Homuth Georg, Horan Michael A., Hottenga Jouke-Jan, de Jager Philip L., Jugessur Astanand, Kaakinen Marika A., Kanoni Stavroula, Keltigangas-Jarvinen Liisa, Kiemeney Lambertus A. L. M., Kolcic Ivana, Koskinen Seppo, Kraja Aldi T., Kroh Martin, Latvala Antti, Launer Lenore J., Lebreton Mael P., Levinson Douglas F., Lichtenstein Paul, Lichtner Peter, Liewald David C. M., Loukola Anu, Madden Pamela A., Magi Reedik, Maki-Opas Tomi, Marioni Riccardo E., Marques-Vidal Pedro, McMahon George, Meisinger Christa, Meitinger Thoma, Milaneschi Yusplitri, Myhre Ronny, Nelson Christopher P., Nyholt Dale R., Ollier William E. R., Palotie Aarno, Paternoster Lavinia, Pedersen Nancy L., Petrovic Katja E., Porteous David J., Raikkonen Katri, Ring Susan M., Robino Antonietta, Rostapshova Olga, Rudan Igor, Rustichini Aldo, Salomaa Veikko, Sanders Alan R., Sarin Antti-Pekka, Schmidt Helena, Scott Rodney J., Smith Blair H., Smith Jennifer A., Staessen Jan A., Steinhagen-Thiessen Elisabeth, Strauch Konstantin, Terracciano Antonio, Tobin Martin D., Ulivi Sheila, Vaccargiu Simona, Quaye Lydia, Venturini Cristina, Vinkhuyzen Anna A. E., Voelzke Henry, Vonk Judith M., Vozzi Diego, Waage Johanne, Ware Erin B., Willemsen Gonneke, Attia John R., Bennett David A., Berger Klau, Bertram Lar, Bisgaard Han, Borecki Ingrid B., Bultmann Ute, Chabris Christopher F., Cucca Francesco, Cusi Daniele, Deary J., Dedoussis George V., van Duijn Cornelia M., Eriksson Johan G., Franke Barbara, Gasparini Paolo, Gejman Pablo V., Gieger Christian, Grabe Hans-Joergen, Gratten Jacob, Gudnason Vilmundur, van der Harst Pim, Hayward Caroline, Hinds David A., Hoffmann Wolfgang, Hypponen Elina, Iacono William G., Jacobsson Bo, Jarvelin Marjo-Riitta, Jockel Karl-Heinz, Kaprio Jaakko, Kardia Sharon L. R., Lehrer Steven F., Magnusson Patrik K. E., Martin Nicholas G., McGue Matt, Pendleton Neil, Pirastu Nicola, Pirastu Mario, Polasek Ozren, Posthuma Danielle, Power Christine, Province Michael A., Samani Nilesh J., Schlessinger David, Schmidt Reinhold, Sorensen Thorkild I. A., Spector Tim D., Stefansson Kari, Thorsteinsdottir Unnur, Thurik A. Roy, Timpson Nicholas J., Tiemeier Henning, Uitterlinden Andre G., Vitart Veronique, Vollenweider Peter, Weir David R., Wilson James F., Wright Alan F., Conley Dalton C., Krueger Robert F., Smith George Davey, Laibson David I., Medland Sarah E., Johannesson Magnu, Koellinger Philipp D., Cesarini David, Benjamin Daniel J., Auton Adam, Boardman Jason D., Clark David W., Conlin Andrew, Dolan Conor C., Fischbacher Ur, Groenen Patrick J. F., Harris Kathleen Mullan, Hasler Gregor, Hofman Albert, Ikram Mohammad A., Jain Sonia, Karlsson Robert, Kessler Ronald C., Kooyman Maarten, MacKillop Jame, Mannikko Minna, Morcillo-Suarez Carlo, McQueen Matthew B., Schmidt Klaus M., Smart Melissa C., Sutter Matthia, White Jon, de Wit Harriet, Fehr Ernst, Kumari Meena, Laibson David, Meyer Michelle N., Navarro Arcadi, Palmer Abraham A., Schunk Daniel, Stein Murray B., Svento Rauli, Timmers Paul R. H. J., Ursano Robert J., Wagner Gert G., Beauchamp Jonathan P., Karlsson Linnér, Richard, Biroli, Pietro, Kong, Edward, Meddens, S. Fleur W., Wedow, Robbee, Fontana, Mark Alan, Lebreton, Maël, Tino, Stephen P., Abdellaoui, Abdel, Hammerschlag, Anke R., Nivard, Michel G., Okbay, Aysu, Rietveld, Cornelius A., Timshel, Pascal N., Trzaskowski, Maciej, Vlaming, Ronald de, Zünd, Christian L., Bao, Yanchun, Buzdugan, Laura, Caplin, Ann H., Chen, Chia-Yen, Eibich, Peter, Fontanillas, Pierre, Gonzalez, Juan R., Joshi, Peter K., Karhunen, Ville, Kleinman, Aaron, Levin, Remy Z., Lill, Christina M., Meddens, Gerardus A., Muntané, Gerard, Sanchez-Roige, Sandra, Rooij, Frank J. van, Taskesen, Erdogan, Wu, Yang, Zhang, Futao, Agee, Michelle, Alipanahi, Babak, Bell, Robert K., Bryc, Katarzyna, Elson, Sarah L., Furlotte, Nicholas A., Huber, Karen E., Litterman, Nadia K., Mccreight, Jennifer C., Mcintyre, Matthew H., Mountain, Joanna L., Northover, Carrie A. M., Pitts, Steven J., Sathirapongsasuti, J. Fah, Sazonova, Olga V., Shelton, Janie F., Shringarpure, Suyash, Tian, Chao, Tung, Joyce Y., Vacic, Vladimir, Wilson, Catherine H., Agbessi, Mawussé, Ahsan, Habibul, Alves, Isabel, Andiappan, Anand, Awadalla, Philip, Battle, Alexi, Beutner, Frank, Jan Bonder, Marc, Boomsma, Dorret I., Christiansen, Mark, Claringbould, Annique, Deelen, Patrick, Esko, Tõnu, Favé, Marie-Julie, Franke, Lude, Frayling, Timothy, Gharib, Sina A., Gibson, Gregory, Heijmans, Bastiaan, Hemani, Gibran, Jansen, Rick, Kähönen, Mika, Kalnapenkis, Anette, Kasela, Silva, Kettunen, Johanne, Kim, Yungil, Kirsten, Holger, Kovacs, Peter, Krohn, Knut, Kronberg-Guzman, Jaanika, Kukushkina, Viktorija, Kutalik, Zoltan, Lee, Bernett, Lehtimäki, Terho, Loeffler, Marku, Marigorta, Urko M., Metspalu, Andre, Milani, Lili, Montgomery, Grant W., Müller-Nurasyid, Martina, Nauck, Matthia, Penninx, Brenda, Perola, Marku, Pervjakova, Natalia, Pierce, Brandon, Powell, Joseph, Prokisch, Holger, Psaty, Bruce M., Raitakari, Olli, Ring, Susan, Ripatti, Samuli, Rotzchke, Olaf, Rüeger, Sina, Saha, Ashi, Scholz, Marku, Schramm, Katharina, Seppälä, Ilkka, Stumvoll, Michael, Sullivan, Patrick, Hoen, Peter-Bram t, Teumer, Alexander, Thiery, Joachim, Tong, Lin, Tönjes, Anke, Dongen, Jenny van, Meurs, Joyce van, Verlouw, Joost, Visscher, Peter M., Völker, Uwe, Võsa, Urmo, Westra, Harm-Jan, Yaghootkar, Hanieh, Yang, Jian, Zeng, Biao, Beauchamp, Jonathan P., Lee, James J., Pers, Tune H., Turley, Patrick, Chen, Guo-Bo, Emilsson, Valur, Oskarsson, Sven, Pickrell, Joseph K., Thom, Kevin, Timshel, Pascal, de Vlaming, Ronald, Ahluwalia, Tarunveer S., Bacelis, Jona, Baumbach, Clemen, Bjornsdottir, Gyda, Brandsma, Johannes H., Concas, Maria Pina, Derringer, Jaime, Galesloot, Tessel E., Girotto, Giorgia, Gupta, Richa, Hall, Leanne M., Harris, Sarah E., Hofer, Edith, Horikoshi, Momoko, Huffman, Jennifer E., Kaasik, Kadri, Kalafati, Ioanna P., Karlsson, Robert, Kong, Augustine, Lahti, Jari, Lee, Sven J. van der, de Leeuw, Christiaan, Lind, Penelope A., Lindgren, Karl-Oskar, Liu, Tian, Mangino, Massimo, Marten, Jonathan, Mihailov, Evelin, Miller, Michael B., Most, Peter J. van der, Oldmeadow, Christopher, Payton, Antony, Peyrot, Wouter J., Qian, Yong, Rueedi, Rico, Salvi, Erika, Schmidt, Börge, Schraut, Katharina E., Shi, Jianxin, Smith, Albert V., Poot, Raymond A., Pourcain, Beate St, Thorleifsson, Gudmar, Verweij, Niek, Vuckovic, Dragana, Wellmann, Juergen, Yang, Jingyun, Zhao, Wei, Zhu, Zhihong, Alizadeh, Behrooz Z., Amin, Najaf, Bakshi, Andrew, Baumeister, Sebastian E., Biino, Ginevra, Bønnelykke, Klau, Boyle, Patricia A., Campbell, Harry, Cappuccio, Francesco P., Davies, Gail, De Neve, Jan-Emmanuel, Deloukas, Pano, Demuth, Ilja, Ding, Jun, Eisele, Lewin, Eklund, Niina, Evans, David M., Faul, Jessica D., Feitosa, Mary F., Forstner, Andreas J., Gandin, Ilaria, Gunnarsson, Bjarni, Halldórsson, Bjarni V., Harris, Tamara B., Heath, Andrew C., Hocking, Lynne J., Holliday, Elizabeth G., Homuth, Georg, Horan, Michael A., Hottenga, Jouke-Jan, de Jager, Philip L., Jugessur, Astanand, Kaakinen, Marika A., Kanoni, Stavroula, Keltigangas-Järvinen, Liisa, Kiemeney, Lambertus A. L. M., Kolcic, Ivana, Koskinen, Seppo, Kraja, Aldi T., Kroh, Martin, Latvala, Antti, Launer, Lenore J., Lebreton, Maël P., Levinson, Douglas F., Lichtenstein, Paul, Lichtner, Peter, Liewald, David C. M., Loukola, Anu, Madden, Pamela A., Mägi, Reedik, Mäki-Opas, Tomi, Marioni, Riccardo E., Marques-Vidal, Pedro, Mcmahon, George, Meisinger, Christa, Meitinger, Thoma, Milaneschi, Yusplitri, Myhre, Ronny, Nelson, Christopher P., Nyholt, Dale R., Ollier, William E. R., Palotie, Aarno, Paternoster, Lavinia, Pedersen, Nancy L., Petrovic, Katja E., Porteous, David J., Räikkönen, Katri, Ring, Susan M., Robino, Antonietta, Rostapshova, Olga, Rudan, Igor, Rustichini, Aldo, Salomaa, Veikko, Sanders, Alan R., Sarin, Antti-Pekka, Schmidt, Helena, Scott, Rodney J., Smith, Blair H., Smith, Jennifer A., Staessen, Jan A., Steinhagen-Thiessen, Elisabeth, Strauch, Konstantin, Terracciano, Antonio, Tobin, Martin D., Ulivi, Sheila, Vaccargiu, Simona, Quaye, Lydia, Venturini, Cristina, Vinkhuyzen, Anna A. E., Völzke, Henry, Vonk, Judith M., Vozzi, Diego, Waage, Johanne, Ware, Erin B., Willemsen, Gonneke, Attia, John R., Bennett, David A., Berger, Klau, Bertram, Lar, Bisgaard, Han, Borecki, Ingrid B, Bültmann, Ute, Chabris, Christopher F., Cucca, Francesco, Cusi, Daniele, Deary, Ian J., Dedoussis, George V., Duijn, Cornelia M. van, Eriksson, Johan G., Franke, Barbara, Gasparini, Paolo, Gejman, Pablo V., Gieger, Christian, Grabe, Hans-Jörgen, Gratten, Jacob, Groenen, Patrick J. F., Gudnason, Vilmundur, Harst, Pim van der, Hayward, Caroline, Hinds, David A., Hoffmann, Wolfgang, Hyppönen, Elina, Iacono, William G., Jacobsson, Bo, Järvelin, Marjo-Riitta, Jöckel, Karl-Heinz, Kaprio, Jaakko, Kardia, Sharon L. R., Lehrer, Steven F., Magnusson, Patrik K. E., Martin, Nicholas G., Mcgue, Matt, Pendleton, Neil, Pirastu, Nicola, Pirastu, Mario, Polasek, Ozren, Posthuma, Danielle, Power, Christine, Province, Michael A., Samani, Nilesh J., Schlessinger, David, Schmidt, Reinhold, Sørensen, Thorkild I. A., Spector, Tim D., Stefansson, Kari, Thorsteinsdottir, Unnur, Thurik, A. Roy, Timpson, Nicholas J., Tiemeier, Henning, Uitterlinden, André G., Vitart, Veronique, Vollenweider, Peter, Weir, David R., Wilson, James F., Wright, Alan F., Conley, Dalton C., Krueger, Robert F., Smith, George Davey, Hofman, Albert, Laibson, David I., Medland, Sarah E., Meyer, Michelle N., Johannesson, Magnu, Koellinger, Philipp D., Cesarini, David, Benjamin, Daniel J., Auton, Adam, Boardman, Jason D., Clark, David W., Conlin, Andrew, Dolan, Conor C., Fischbacher, Ur, Harris, Kathleen Mullan, Hasler, Gregor, Ikram, Mohammad A., Jain, Sonia, Kessler, Ronald C., Kooyman, Maarten, Mackillop, Jame, Männikkö, Minna, Morcillo-Suarez, Carlo, Mcqueen, Matthew B., Schmidt, Klaus M., Smart, Melissa C., Sutter, Matthia, White, Jon, Wit, Harriet de, Fehr, Ernst, Kumari, Meena, Laibson, David, Navarro, Arcadi, Palmer, Abraham A., Schunk, Daniel, Stein, Murray B., Svento, Rauli, Timmers, Paul R. H. J., Ursano, Robert J., Wagner, Gert G., Applied Economics, Hematology, Epidemiology, Urology, Department of Marketing Management, Internal Medicine, Medical Informatics, Cell biology, Erasmus MC other, Molecular Genetics, Econometrics, Child and Adolescent Psychiatry / Psychology, Radiology & Nuclear Medicine, Epidemiologie, RS: CARIM - R3.02 - Hypertension and target organ damage, RS: Carim - V02 Hypertension and target organ damage, Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI), Groningen Research Institute for Asthma and COPD (GRIAC), Public Health Research (PHR), Cardiovascular Centre (CVC), Life Course Epidemiology (LCE), Stem Cell Aging Leukemia and Lymphoma (SALL), Real World Studies in PharmacoEpidemiology, -Genetics, -Economics and -Therapy (PEGET), Linnér, Richard Karlsson, Biroli , Pietro, Meddens, S Fleur W, and Beauchamp, Jonathan P
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Netherlands Twin Register (NTR) ,Male ,LD ,Medizin ,Poison control ,Genome-wide association study ,DETERMINANTS ,Cathie Marsh Institute ,PREFERENCES ,Q1 ,Genome-wide association studies ,HV ,0302 clinical medicine ,Genetics, Behavioral/methods ,GWAS ,Genetics & Heredity ,Genetics ,0303 health sciences ,PERSONALITY ,Genetic Predisposition to Disease/genetics ,Behavior/physiology ,Polymorphism, Single Nucleotide/genetics ,3. Good health ,Manchester Institute for Collaborative Research on Ageing ,Meta-analysis ,Urological cancers Radboud Institute for Health Sciences [Radboudumc 15] ,Genetic Loci/genetics ,Behavioural genetics ,Genome-Wide Association Study/methods ,Medical genetics ,Female ,Life Sciences & Biomedicine ,Single Nucleotide/genetics ,medicine.medical_specialty ,ResearchInstitutes_Networks_Beacons/MICRA ,Genotype ,Single-nucleotide polymorphism ,Genetics, Behavioral ,Biology ,Polymorphism, Single Nucleotide ,Article ,03 medical and health sciences ,All institutes and research themes of the Radboud University Medical Center ,SDG 3 - Good Health and Well-being ,ddc:330 ,medicine ,GENDER-DIFFERENCES ,SNP ,Humans ,Genetic Predisposition to Disease ,Polymorphism ,behavioural genetics ,Behavioral/methods ,030304 developmental biology ,Genetic association ,Behavior ,Science & Technology ,Neurodevelopmental disorders Donders Center for Medical Neuroscience [Radboudumc 7] ,Data Science ,Case-control study ,risk tolerance, GWAS, genetic architechture ,Genetic Loci ,Case-Control Studies ,genome-wide association studies ,ResearchInstitutes_Networks_Beacons/cathie_marsh_institute ,Nanomedicine Radboud Institute for Molecular Life Sciences [Radboudumc 19] ,030217 neurology & neurosurgery ,Genome-Wide Association Study - Abstract
Humans vary substantially in their willingness to take risks. In a combined sample of over 1 million individuals, we conducted genome-wide association studies (GWAS) of general risk tolerance, adventurousness, and risky behaviors in the driving, drinking, smoking, and sexual domains. Across all GWAS, we identified hundreds of associated loci, including 99 loci associated with general risk tolerance. We report evidence of substantial shared genetic influences across risk tolerance and the risky behaviors: 46 of the 99 general risk tolerance loci contain a lead SNP for at least one of our other GWAS, and general risk tolerance is genetically correlated ([Formula: see text] ~ 0.25 to 0.50) with a range of risky behaviors. Bioinformatics analyses imply that genes near SNPs associated with general risk tolerance are highly expressed in brain tissues and point to a role for glutamatergic and GABAergic neurotransmission. We found no evidence of enrichment for genes previously hypothesized to relate to risk tolerance. This research was carried out under the auspices of the Social Science Genetic Association Consortium. The research was also conducted using the UK Biobank Resource under application number 11425. The study was supported by funding from the Ragnar Söderberg Foundation (E9/11 and E42/15); the Swedish Research Council (421-2013-1061); the Jan Wallander and Tom Hedelius Foundation; an ERC Consolidator Grant to Philipp Koellinger (647648 EdGe); the Pershing Square Fund of the Foundations of Human Behavior; the Open Philanthropy Project; the National Institute on Aging, National Institutes of Health through grants P01-AG005842, P01-AG005842-20S2, P30-AG012810, and T32-AG000186-23 to the National Bureau of Economic Research and R01-AG042568-02 to the University of Southern California; the government of Canada through Genome Canada and the Ontario Genomics Institute (OGI-152); and the Social Sciences and Humanities Research Council of Canada. We thank the International Cannabis Consortium, the eQTLgen Consortium, and the Psychiatric Genomics Consortium for sharing summary statistics from the GWAS of lifetime cannabis use, eQTL summary statistics, and summary statistics from the GWAS of ADHD, respectively. A full list of acknowledgments is provided in the Supplementary Note.
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- 2019
23. Genome-wide association analyses of risk tolerance and risky behaviors in over one million individuals identify hundreds of loci and shared genetic influences
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Linnér, R., Biroli, P., Kong, E., Meddens, S., Wedow, R., Fontana, M., Lebreton, M., Abdellaoui, A., Hammerschlag, A., Nivard, M., Okbay, A., Rietveld, C., Timshel, P., Tino, S., Trzaskowski, M., de Vlaming, R., Zünd, C., Bao, Y., Buzdugan, L., Caplin, A., Chen, C., Eibich, P., Fontanillas, P., Gonzalez, J., Joshi, P., Karhunen, V., Kleinman, A., Levin, R., Lill, C., Meddens, G., Muntané, G., Sanchez-Roige, S., van Rooij, F., Taskesen, E., Wu, Y., Zhang, F., Auton, A., Boardman, J., Clark, D., Conlin, A., Dolan, C., Fischbacher, U., Groenen, P., Harris, K., Hasler, G., Hofman, A., Ikram, M., Jain, S., Karlsson, R., Kessler, R., Kooyman, M., MacKillop, J., Männikkö, M., Morcillo-Suarez, C., McQueen, M., Schmidt, K., Smart, M., Sutter, M., Thurik, A., Uitterlinden, A., White, J., de Wit, H., Yang, J., Bertram, L., Boomsma, D., Esko, T., Fehr, E., Hinds, D., Johannesson, M., Kumari, M., Laibson, D., Magnusson, P., Meyer, M., Navarro, A., Palmer, A., Pers, T., Posthuma, D., Schunk, D., Stein, M., Svento, R., Tiemeier, H., Timmers, P., Turley, P., Ursano, R., Wagner, G., https://orcid.org/0000-0002-5985-4073, Wilson, J., Gratten, J., Lee, J., Cesarini, D., Benjamin, D., Koellinger, P., Beauchamp, J., 23andme Research Team, eQTLgen Consortium, International Cannabis Consortium, Psychiatric Genomics Consortium, and Social Science Genetic Association Consortium
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- 2018
24. C-reactive protein upregulates the whole blood expression of CD59 - an integrative analysis
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Zoltán Kutalik, Joyce Van Meurs, Urmo Võsa, Martina Müller-Nurasyid, Marc Jan Bonder, Michael Stumvoll, Joseph Powell, Kaido Lepik, Michel Nivard, Peter Kovacs, Holger Prokisch, Pärt Peterson, Jenny Van Dongen, Silva Kasela, Kai Kisand, Annique Claringbould, Tarmo Annilo, Joost Verlouw, APH - Mental Health, Amsterdam Neuroscience - Complex Trait Genetics, Psychiatry, APH - Digital Health, Biological Psychology, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, APH - Methodology, APH - Personalized Medicine, eQTLGen Consortium, Agbessi, M., Ahsan, H., Alves, I., Andiappan, A., Awadalla, P., Battle, A., Beutner, F., Bonder, M.J., Boomsma, D., Christiansen, M., Claringbould, A., Deelen, P., Esko, T., Favé, M.J., Franke, L., Frayling, T., Gharib, S., Gibson, G., Hemani, G., Jansen, R., Kähönen, M., Kalnapenkis, A., Kasela, S., Kettunen, J., Kim, Y., Kirsten, H., Kovacs, P., Krohn, K., Kronberg-Guzman, J., Kukushkina, V., Kutalik, Z., Lee, B., Lehtimäki, T., Loeffler, M., Marigorta, U.M., Metspalu, A., Milani, L., Müller-Nurasyid, M., Nauck, M., Nivard, M., Penninx, B., Perola, M., Pervjakova, N., Pierce, B., Powell, J., Prokisch, H., Psaty, B., Raitakari, O., Ring, S., Ripatti, S., Rotzschke, O., Ruëger, S., Saha, A., Scholz, M., Schramm, K., Seppälä, I., Stumvoll, M., Sullivan, P., Teumer, A., Thiery, J., Tong, L., Tönjes, A., van Dongen, J., van Meurs, J., Verlouw, J., Visscher, P., Völker, U., Võsa, U., Yaghootkar, H., Yang, J., Zeng, B., and Zhang, F.
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0301 basic medicine ,Netherlands Twin Register (NTR) ,Physiology ,Economics ,Economic Models ,Complement System ,Gene Expression ,Social Sciences ,Adult ,Antigens, CD59/blood ,Antigens, CD59/metabolism ,C-Reactive Protein/metabolism ,Cohort Studies ,Estonia ,Humans ,Inflammation/metabolism ,Up-Regulation/physiology ,Bioinformatics ,Biochemistry ,Sequencing techniques ,Immune Physiology ,Gene expression ,Medicine and Health Sciences ,Biology (General) ,Whole blood ,Regulation of gene expression ,Immune System Proteins ,Ecology ,RNA sequencing ,Mendelian Randomization Analysis ,C-Reactive Proteins ,Body Fluids ,Up-Regulation ,3. Good health ,Blood ,C-Reactive Protein ,Computational Theory and Mathematics ,Modeling and Simulation ,Biological Cultures ,Anatomy ,medicine.symptom ,Research Article ,QH301-705.5 ,Inflammatory Diseases ,Immunology ,CD59 Antigens ,Inflammation ,CD59 ,Biology ,03 medical and health sciences ,Cellular and Molecular Neuroscience ,SDG 3 - Good Health and Well-being ,Genetics ,medicine ,Journal Article ,Molecular Biology ,Gene ,Ecology, Evolution, Behavior and Systematics ,C-reactive protein ,Biology and Life Sciences ,Proteins ,Cell Cultures ,ta3121 ,Research and analysis methods ,Molecular biology techniques ,030104 developmental biology ,Immune System ,biology.protein - Abstract
Elevated C-reactive protein (CRP) concentrations in the blood are associated with acute and chronic infections and inflammation. Nevertheless, the functional role of increased CRP in multiple bacterial and viral infections as well as in chronic inflammatory diseases remains unclear. Here, we studied the relationship between CRP and gene expression levels in the blood in 491 individuals from the Estonian Biobank cohort, to elucidate the role of CRP in these inflammatory mechanisms. As a result, we identified a set of 1,614 genes associated with changes in CRP levels with a high proportion of interferon-stimulated genes. Further, we performed likelihood-based causality model selection and Mendelian randomization analysis to discover causal links between CRP and the expression of CRP-associated genes. Strikingly, our computational analysis and cell culture stimulation assays revealed increased CRP levels to drive the expression of complement regulatory protein CD59, suggesting CRP to have a critical role in protecting blood cells from the adverse effects of the immune defence system. Our results show the benefit of integrative analysis approaches in hypothesis-free uncovering of causal relationships between traits., Author summary Chronic inflammation is associated with chronic diseases, morbidity and mortality while lower base inflammation levels are thought to be predictive of healthy aging. Thus, to pursue a long and healthy lifespan, it is essential to understand the inflammatory regulatory mechanisms. To that end, we studied the functional role of C-reactive protein (CRP)–an inflammatory biomarker that is used to measure cardiovascular risk in clinical practice. There is evidence for a strong genetic component of elevated CRP levels but it is still unclear if it has a direct impact on the processes that lead to inflammatory diseases. In order to elucidate the function of CRP in the blood, we used statistical methods for causal inference to infer causal relationships between changes in CRP and gene expression levels. Our statistical analysis and cell culture experiments suggest that CRP drives the expression of complement regulatory protein CD59. Thus, CRP can have a functional role in protecting human blood cells from the adverse effects of the immune defence system.
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- 2017
25. Genome-wide association study identifies 30 loci associated with bipolar disorder
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Euijung Ryu, Danfeng Chen, Allan H. Young, Olav B. Smeland, James McKay, Frank Bellivier, Qingqin S. Li, Yunpeng Wang, Tõnu Esko, Bertram Müller-Myhsok, Weiqing Wang, Thomas W. Weickert, Joanna M. Biernacka, Ralph W. Kupka, Claire O'Donovan, Josep Antoni Ramos-Quiroga, Marian L. Hamshere, Derek W. Morris, Douglas M. Ruderfer, Stephan Ripke, Nelson B. Freimer, Tatiana Foroud, Shaun Purcell, Ashley Dumont, Shawn Levy, Dominic Holland, Joanna Hauser, Anders D. Børglum, Liz Forty, Alan F. Schatzberg, Christine Fraser, Jennifer M. Whitehead Pavlides, William E. Bunney, Merete Nordentoft, Andres Metspalu, Gunnar Morken, Susanne Lucae, Roy H. Perlis, Anne T. Spijker, Richard A. Belliveau, Sarah E. Bergen, Fan Meng, Eduard Vieta, Cynthia Shannon Weickert, J. Raymond DePaulo, Martin Alda, Lina Martinsson, Melvin G. McInnis, Jacob Lawrence, Markus Leber, James A. Knowles, Franziska Degenhardt, Melissa J. Green, Jaqueline Goldstein, Amanda Dobbyn, Radhika Kandaswamy, Steve McCarroll, Katrin Gade, Jack D. Barchas, Christina M. Hultman, Sarah Kittel-Schneider, Martin Hautzinger, Maria Hipolito, Louise Frisén, Kari Stefansson, Michael Conlon O'Donovan, Markus M. Nöthen, Eline J. Regeer, Jens Treutlein, Robert Karlsson, Ian Jones, Nicholas G. Martin, William A. Scheftner, Caroline M. Nievergelt, Marta Ribasés, Simone de Jong, Szabolcs Szelinger, Thomas W. Mühleisen, Michele T. Pato, Manuel Mattheisen, Maciej Trzaskowski, Urs Heilbronner, Diane Gage, Jakob Grove, Ingrid Melle, Ole A. Andreassen, Claudia Giambartolomei, Kimberly Chambert, Arne E. Vaaler, William Coryell, Peter R. Schofield, Preben Bo Mortensen, Roel A. Ophoff, Fabian Streit, Manolis Kogevinas, Ingrid Agartz, John Strauss, James L. Kennedy, Anders M. Dale, Stefan Herms, Douglas Blackwood, Torbjørn Elvsåshagen, Bernhard T. Baune, Grant W. Montgomery, Andreas Reif, Fabio Rivas, Andrew McQuillin, Jordan W. Smoller, Chun Chieh Fan, James B. Potash, Jun Li, Ketil J. Oedegaard, David Curtis, Martin Schalling, John R. Kelsoe, Valentina Escott-Price, Sascha B. Fischer, Tatyana Shehktman, Jonathan R. I. Coleman, Stanley J. Watson, Donald J. MacIntyre, Tune H. Pers, Eystein Stordal, Richard M. Myers, Jose Guzman-Parra, Danielle Posthuma, John I. Nurnberger, William Lawson, Janet L. Sobell, Felecia Cerrato, Judith A. Badner, Elliot S. Gershon, Gerome Breen, Naomi R. Wray, Thomas Werge, Lilijana Oruc, Claire Slaney, Anil P.S. Ori, Alexander W. Charney, Marianne Giørtz Pedersen, Marie Bækvad-Hansen, Michael Boehnke, Marcella Rietschel, George Kirov, Aiden Corvin, Piotr M. Czerski, Peter Holmans, Michael Steffens, Margarita Rivera, Maria Grigoroiu-Serbanescu, René S. Kahn, Laura M. Huckins, Monika Budde, Michael Gill, Lili Milani, Christiaan de Leeuw, Peng Zhang, Nicholas Bass, Jana Strohmaier, John P. Rice, Wei Xu, Cristiana Cruceanu, Vassily Trubetskoy, Philip B. Mitchell, Helena Medeiros, Thomas Damm Als, Anna C. Koller, Huda Akil, Jessica S. Johnson, Toni-Kim Clarke, Janice M. Fullerton, Guy A. Rouleau, Fernando S. Goes, Weihua Guan, Wolfgang Maier, Pamela Sklar, Diego Albani, Laura J. Scott, Pamela B. Mahon, Anna Maaser, Katherine Gordon-Smith, Urban Ösby, Jurgen Del-Favero, Jolanta Lissowska, Howard J. Edenberg, Sven Cichon, Annelie Nordin Adolfsson, Julie Garnham, Josef Frank, Hoang T. Nguyen, Michael Bauer, Helmut Vedder, Vishwajit L. Nimgaonkar, Loes M. Olde Loohuis, Thomas G. Schulze, Cristina Sánchez-Mora, Udo Dannlowski, Rolf Adolfsson, Benjamin M. Neale, Verneri Antilla, Andrea Pfennig, John B. Vincent, Niamh Mullins, Per Hoffmann, Peter McGuffin, Erlend Bøen, Ney Alliey-Rodriguez, Adebayo Anjorin, Fermín Mayoral, Arianna Di Florio, Claire Churchhouse, David M. Hougaard, Nicholas J. Schork, Tiffany A. Greenwood, Carlos N. Pato, Thorgeir E. Thorgeirsson, Nicholas John Craddock, Stephanie H. Witt, Liam Abbott, Swapnil Awasthi, Miquel Casas, Jonas Bybjerg-Grauholm, Cathryn M. Lewis, Srdjan Djurovic, Bruno Etain, Margit Burmeister, Phil Lee, Elaine K. Green, Sara A. Paciga, Lena Backlund, Engilbert Sigurdsson, Patrick F. Sullivan, Amy Perry, Pablo Cervantes, Marco P. Boks, Catharina Lavebratt, Andrew M. McIntosh, Panos Roussos, Enda M. Byrne, Alexander Richards, Eli A. Stahl, Stéphane Jamain, Hreinn Stefansson, Ole Mors, Esben Agerbo, Susan L. McElroy, Wade H. Berrettini, Peter P. Zandi, Lisa Jones, Andreas J. Forstner, Alessandro Serretti, Céline S. Reinbold, Robert C. Thompson, Matthew Flickinger, William Byerley, Michael John Owen, Helena Gaspar, Francis J. McMahon, David St Clair, Mark A. Frye, Christine Søholm Hansen, Scott D. Gordon, Mikael Landén, Gustavo Turecki, Simon Xi, Evaristus A. Nwulia, Anders Juréus, James Boocock, Stacy Steinberg, Paul D. Shilling, David Craig, Mark J. Daly, Sarah E. Medland, Marion Leboyer, Chunyu Liu, Carsten Bøcker Pedersen, Sebastian Zöllner, APH - Mental Health, Psychiatry, Human genetics, Amsterdam Neuroscience - Complex Trait Genetics, Amsterdam Reproduction & Development (AR&D), Stahl E.A., Breen G., Forstner A.J., McQuillin A., Ripke S., Trubetskoy V., Mattheisen M., Wang Y., Coleman J.R.I., Gaspar H.A., de Leeuw C.A., Steinberg S., Pavlides J.M.W., Trzaskowski M., Byrne E.M., Pers T.H., Holmans P.A., Richards A.L., Abbott L., Agerbo E., Akil H., Albani D., Alliey-Rodriguez N., Als T.D., Anjorin A., Antilla V., Awasthi S., Badner J.A., Baekvad-Hansen M., Barchas J.D., Bass N., Bauer M., Belliveau R., Bergen S.E., Pedersen C.B., Boen E., Boks M.P., Boocock J., Budde M., Bunney W., Burmeister M., Bybjerg-Grauholm J., Byerley W., Casas M., Cerrato F., Cervantes P., Chambert K., Charney A.W., Chen D., Churchhouse C., Clarke T.-K., Coryell W., Craig D.W., Cruceanu C., Curtis D., Czerski P.M., Dale A.M., de Jong S., Degenhardt F., Del-Favero J., DePaulo J.R., Djurovic S., Dobbyn A.L., Dumont A., Elvsashagen T., Escott-Price V., Fan C.C., Fischer S.B., Flickinger M., Foroud T.M., Forty L., Frank J., Fraser C., Freimer N.B., Frisen L., Gade K., Gage D., Garnham J., Giambartolomei C., Pedersen M.G., Goldstein J., Gordon S.D., Gordon-Smith K., Green E.K., Green M.J., Greenwood T.A., Grove J., Guan W., Guzman-Parra J., Hamshere M.L., Hautzinger M., Heilbronner U., Herms S., Hipolito M., Hoffmann P., Holland D., Huckins L., Jamain S., Johnson J.S., Jureus A., Kandaswamy R., Karlsson R., Kennedy J.L., Kittel-Schneider S., Knowles J.A., Kogevinas M., Koller A.C., Kupka R., Lavebratt C., Lawrence J., Lawson W.B., Leber M., Lee P.H., Levy S.E., Li J.Z., Liu C., Lucae S., Maaser A., MacIntyre D.J., Mahon P.B., Maier W., Martinsson L., McCarroll S., McGuffin P., McInnis M.G., McKay J.D., Medeiros H., Medland S.E., Meng F., Milani L., Montgomery G.W., Morris D.W., Muhleisen T.W., Mullins N., Nguyen H., Nievergelt C.M., Adolfsson A.N., Nwulia E.A., O'Donovan C., Loohuis L.M.O., Ori A.P.S., Oruc L., Osby U., Perlis R.H., Perry A., Pfennig A., Potash J.B., Purcell S.M., Regeer E.J., Reif A., Reinbold C.S., Rice J.P., Rivas F., Rivera M., Roussos P., Ruderfer D.M., Ryu E., Sanchez-Mora C., Schatzberg A.F., Scheftner W.A., Schork N.J., Shannon Weickert C., Shehktman T., Shilling P.D., Sigurdsson E., Slaney C., Smeland O.B., Sobell J.L., Soholm Hansen C., Spijker A.T., St Clair D., Steffens M., Strauss J.S., Streit F., Strohmaier J., Szelinger S., Thompson R.C., Thorgeirsson T.E., Treutlein J., Vedder H., Wang W., Watson S.J., Weickert T.W., Witt S.H., Xi S., Xu W., Young A.H., Zandi P., Zhang P., Zollner S., Adolfsson R., Agartz I., Alda M., Backlund L., Baune B.T., Bellivier F., Berrettini W.H., Biernacka J.M., Blackwood D.H.R., Boehnke M., Borglum A.D., Corvin A., Craddock N., Daly M.J., Dannlowski U., Esko T., Etain B., Frye M., Fullerton J.M., Gershon E.S., Gill M., Goes F., Grigoroiu-Serbanescu M., Hauser J., Hougaard D.M., Hultman C.M., Jones I., Jones L.A., Kahn R.S., Kirov G., Landen M., Leboyer M., Lewis C.M., Li Q.S., Lissowska J., Martin N.G., Mayoral F., McElroy S.L., McIntosh A.M., McMahon F.J., Melle I., Metspalu A., Mitchell P.B., Morken G., Mors O., Mortensen P.B., Muller-Myhsok B., Myers R.M., Neale B.M., Nimgaonkar V., Nordentoft M., Nothen M.M., O'Donovan M.C., Oedegaard K.J., Owen M.J., Paciga S.A., Pato C., Pato M.T., Posthuma D., Ramos-Quiroga J.A., Ribases M., Rietschel M., Rouleau G.A., Schalling M., Schofield P.R., Schulze T.G., Serretti A., Smoller J.W., Stefansson H., Stefansson K., Stordal E., Sullivan P.F., Turecki G., Vaaler A.E., Vieta E., Vincent J.B., Werge T., Nurnberger J.I., Wray N.R., Di Florio A., Edenberg H.J., Cichon S., Ophoff R.A., Scott L.J., Andreassen O.A., Kelsoe J., Sklar P., eQTLGen Consortium, BIOS Consortium, Bipolar Disorder Working Group of the Psychiatric Genomics Consortium, and Complex Trait Genetics
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Male ,Bipolar Disorder ,Bipolar I disorder ,Schizophrenia/genetics ,LD SCORE REGRESSION ,Genome-wide association study ,VARIANTS ,Bipolar II disorder ,0302 clinical medicine ,SCHIZOPHRENIA ,GWAS ,Psychotic Disorders/genetics ,Non-U.S. Gov't ,RISK ,Genetics ,0303 health sciences ,HERITABILITY ,Research Support, Non-U.S. Gov't ,Systems Biology ,Major/genetics ,Single Nucleotide ,3. Good health ,Schizophrenia ,Major depressive disorder ,Female ,Case-Control Studie ,Depressive Disorder, Major/genetics ,Human ,Psychosis ,GENES ,Biology ,Psychotic Disorder ,Research Support ,Polymorphism, Single Nucleotide ,Article ,Bipolar Disorder/classification ,N.I.H ,03 medical and health sciences ,SDG 3 - Good Health and Well-being ,medicine ,Journal Article ,POLYGENICITY ,Humans ,Genetic Predisposition to Disease ,Bipolar disorder ,Polymorphism ,METAANALYSIS ,030304 developmental biology ,Intramural ,Depressive Disorder, Major ,Depressive Disorder ,Genetic heterogeneity ,Research Support, N.I.H., Intramural ,medicine.disease ,INDIVIDUALS ,Psychotic Disorders ,Genetic Loci ,Case-Control Studies ,Human medicine ,030217 neurology & neurosurgery ,Genome-Wide Association Study ,Meta-Analysis - Abstract
This paper is dedicated to the memory of Psychiatric Genomics Consortium (PGC) founding member and Bipolar disorder working group co-chair Pamela Sklar. We thank the participants who donated their time, experiences and DNA to this research, and to the clinical and scientific teams that worked with them. We are deeply indebted to the investigators who comprise the PGC. The views expressed are those of the authors and not necessarily those of any funding or regulatory body. Analyses were carried out on the NL Genetic Cluster Computer (http://www.geneticcluster.org ) hosted by SURFsara, and the Mount Sinai high performance computing cluster (http://hpc.mssm.edu)., Bipolar disorder is a highly heritable psychiatric disorder. We performed a genome-wide association study including 20,352 cases and 31,358 controls of European descent, with follow-up analysis of 822 variants with P, This work was funded in part by the Brain and Behavior Research Foundation, Stanley Medical Research Institute, University of Michigan, Pritzker Neuropsychiatric Disorders Research Fund L.L.C., Marriot Foundation and the Mayo Clinic Center for Individualized Medicine, the NIMH Intramural Research Program; Canadian Institutes of Health Research; the UK Maudsley NHS Foundation Trust, NIHR, NRS, MRC, Wellcome Trust; European Research Council; German Ministry for Education and Research, German Research Foundation IZKF of Münster, Deutsche Forschungsgemeinschaft, ImmunoSensation, the Dr. Lisa-Oehler Foundation, University of Bonn; the Swiss National Science Foundation; French Foundation FondaMental and ANR; Spanish Ministerio de Economía, CIBERSAM, Industria y Competitividad, European Regional Development Fund (ERDF), Generalitat de Catalunya, EU Horizon 2020 Research and Innovation Programme; BBMRI-NL; South-East Norway Regional Health Authority and Mrs. Throne-Holst; Swedish Research Council, Stockholm County Council, Söderström Foundation; Lundbeck Foundation, Aarhus University; Australia NHMRC, NSW Ministry of Health, Janette M O'Neil and Betty C Lynch.
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- 2019
26. Large-Scale Multi-Omics Studies Provide New Insights into Blood Pressure Regulation.
- Author
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Kamali Z, Keaton JM, Haghjooy Javanmard S, International Consortium Of Blood Pressure, Million Veteran Program, eQTLGen Consortium, Bios Consortium, Edwards TL, Snieder H, and Vaez A
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- Blood Pressure genetics, Epigenomics methods, Genomics methods, Humans, Transcriptome, Epigenesis, Genetic, Genome-Wide Association Study
- Abstract
Recent genome-wide association studies uncovered part of blood pressure's heritability. However, there is still a vast gap between genetics and biology that needs to be bridged. Here, we followed up blood pressure genome-wide summary statistics of over 750,000 individuals, leveraging comprehensive epigenomic and transcriptomic data from blood with a follow-up in cardiovascular tissues to prioritise likely causal genes and underlying blood pressure mechanisms. We first prioritised genes based on coding consequences, multilayer molecular associations, blood pressure-associated expression levels, and coregulation evidence. Next, we followed up the prioritised genes in multilayer studies of genomics, epigenomics, and transcriptomics, functional enrichment, and their potential suitability as drug targets. Our analyses yielded 1880 likely causal genes for blood pressure, tens of which are targets of the available licensed drugs. We identified 34 novel genes for blood pressure, supported by more than one source of biological evidence. Twenty-eight (82%) of these new genes were successfully replicated by transcriptome-wide association analyses in a large independent cohort ( n = ~220,000). We also found a substantial mediating role for epigenetic regulation of the prioritised genes. Our results provide new insights into genetic regulation of blood pressure in terms of likely causal genes and involved biological pathways offering opportunities for future translation into clinical practice.
- Published
- 2022
- Full Text
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