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  1. Article ; Online: Rare variant associations with plasma protein levels in the UK Biobank.

    Dhindsa, Ryan S / Burren, Oliver S / Sun, Benjamin B / Prins, Bram P / Matelska, Dorota / Wheeler, Eleanor / Mitchell, Jonathan / Oerton, Erin / Hristova, Ventzislava A / Smith, Katherine R / Carss, Keren / Wasilewski, Sebastian / Harper, Andrew R / Paul, Dirk S / Fabre, Margarete A / Runz, Heiko / Viollet, Coralie / Challis, Benjamin / Platt, Adam /
    Vitsios, Dimitrios / Ashley, Euan A / Whelan, Christopher D / Pangalos, Menelas N / Wang, Quanli / Petrovski, Slavé

    Nature

    2023  Volume 622, Issue 7982, Page(s) 339–347

    Abstract: Integrating human genomics and proteomics can help elucidate disease mechanisms, identify clinical biomarkers and discover drug ... ...

    Abstract Integrating human genomics and proteomics can help elucidate disease mechanisms, identify clinical biomarkers and discover drug targets
    MeSH term(s) Humans ; Alleles ; Biological Specimen Banks ; Biomarkers/blood ; Blood Proteins/analysis ; Blood Proteins/genetics ; Databases, Factual ; Exome/genetics ; Genetic Association Studies ; Genomics ; Hematopoiesis ; Mutation ; Plasma/chemistry ; Proteomics ; United Kingdom
    Chemical Substances Biomarkers ; Blood Proteins ; FLT3 protein, human (EC 2.7.10.1) ; HSD17B13 protein, human (EC 1.1.-.-) ; NLRC4 protein, human ; STAB1 protein, human ; STAB2 protein, human ; TET2 protein, human (EC 1.13.11.-)
    Language English
    Publishing date 2023-10-04
    Publishing country England
    Document type Journal Article
    ZDB-ID 120714-3
    ISSN 1476-4687 ; 0028-0836
    ISSN (online) 1476-4687
    ISSN 0028-0836
    DOI 10.1038/s41586-023-06547-x
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Trans-ethnic genomic informed risk assessment for Alzheimer's disease: An International Hundred K+ Cohorts Consortium study.

    Sleiman, Patrick M / Qu, Hui-Qi / Connolly, John J / Mentch, Frank / Pereira, Alexandre / Lotufo, Paulo A / Tollman, Stephen / Choudhury, Ananyo / Ramsay, Michele / Kato, Norihiro / Ozaki, Kouichi / Mitsumori, Risa / Jeon, Jae-Pil / Hong, Chang Hyung / Son, Sang Joon / Roh, Hyun Woong / Lee, Dong-Gi / Mukadam, Naaheed / Foote, Isabelle F /
    Marshall, Charles R / Butterworth, Adam / Prins, Bram P / Glessner, Joseph T / Hakonarson, Hakon

    Alzheimer's & dementia : the journal of the Alzheimer's Association

    2023  Volume 19, Issue 12, Page(s) 5765–5772

    Abstract: Background: As a collaboration model between the International HundredK+ Cohorts Consortium (IHCC) and the Davos Alzheimer's Collaborative (DAC), our aim was to develop a trans-ethnic genomic informed risk assessment (GIRA) algorithm for Alzheimer's ... ...

    Abstract Background: As a collaboration model between the International HundredK+ Cohorts Consortium (IHCC) and the Davos Alzheimer's Collaborative (DAC), our aim was to develop a trans-ethnic genomic informed risk assessment (GIRA) algorithm for Alzheimer's disease (AD).
    Methods: The GIRA model was created to include polygenic risk score calculated from the AD genome-wide association study loci, the apolipoprotein E haplotypes, and non-genetic covariates including age, sex, and the first three principal components of population substructure.
    Results: We validated the performance of the GIRA model in different populations. The proteomic study in the participant sites identified proteins related to female infertility and autoimmune thyroiditis and associated with the risk scores of AD.
    Conclusions: As the initial effort by the IHCC to leverage existing large-scale datasets in a collaborative setting with DAC, we developed a trans-ethnic GIRA for AD with the potential of identifying individuals at high risk of developing AD for future clinical applications.
    MeSH term(s) Humans ; Female ; Alzheimer Disease/genetics ; Alzheimer Disease/epidemiology ; Genome-Wide Association Study ; Proteomics ; Genomics ; Risk Assessment
    Language English
    Publishing date 2023-07-14
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2211627-8
    ISSN 1552-5279 ; 1552-5260
    ISSN (online) 1552-5279
    ISSN 1552-5260
    DOI 10.1002/alz.13378
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: lodGWAS: a software package for genome-wide association analysis of biomarkers with a limit of detection.

    Vaez, Ahmad / van der Most, Peter J / Prins, Bram P / Snieder, Harold / van den Heuvel, Edwin / Alizadeh, Behrooz Z / Nolte, Ilja M

    Bioinformatics (Oxford, England)

    2016  Volume 32, Issue 10, Page(s) 1552–1554

    Abstract: Unlabelled: Genome-wide association study (GWAS) of a biomarker is complicated when the assay procedure of the biomarker is restricted by a Limit of Detection (LOD). Those observations falling outside the LOD cannot be simply discarded, but should be ... ...

    Abstract Unlabelled: Genome-wide association study (GWAS) of a biomarker is complicated when the assay procedure of the biomarker is restricted by a Limit of Detection (LOD). Those observations falling outside the LOD cannot be simply discarded, but should be included into the analysis by applying an appropriate statistical method. However, the problem of LOD in GWAS analysis of such biomarkers is usually overlooked. 'lodGWAS' is a flexible, easy-to-use R package that provides a simple and elegant way for GWAS analysis of such biomarkers while simultaneously accommodating the problem of LOD by applying a parametric survival analysis method.
    Availability and implementation: http://cran.r-project.org/web/packages/lodGWAS CONTACTS: a.vaez@umcg.nl or i.m.nolte@umcg.nl
    Supplementary information: Supplementary data are available at Bioinformatics online.
    MeSH term(s) Biomarkers ; Genome-Wide Association Study/methods ; Humans ; Limit of Detection ; Software
    Chemical Substances Biomarkers
    Language English
    Publishing date 2016-05-15
    Publishing country England
    Document type Journal Article
    ZDB-ID 1422668-6
    ISSN 1367-4811 ; 1367-4803
    ISSN (online) 1367-4811
    ISSN 1367-4803
    DOI 10.1093/bioinformatics/btw021
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article: Genetics of coronary artery disease: Genome-wide association studies and beyond

    Prins, Bram P / Lagou, Vasiliki / Asselbergs, Folkert W / Snieder, Harold / Fu, Jingyuan

    Atherosclerosis. 2012 Nov., v. 225, no. 1

    2012  

    Abstract: Genome-wide association (GWA) studies on coronary artery disease (CAD) have been very successful, identifying a total of 32 susceptibility loci so far. Although these loci have provided valuable insights into the etiology of CAD, their cumulative effect ... ...

    Abstract Genome-wide association (GWA) studies on coronary artery disease (CAD) have been very successful, identifying a total of 32 susceptibility loci so far. Although these loci have provided valuable insights into the etiology of CAD, their cumulative effect explains surprisingly little of the total CAD heritability. In this review, we first highlight and describe the type of genetic variants potentially underlying the missing heritability of CAD: single nucleotide polymorphisms (SNPs) or structural variants, each of which may either be common or rare. Although finding missing heritability is important, we further argue in this review that it constitutes only a first step towards a fuller understanding of the etiology of CAD development. To close the gap between the genotype and phenotype, we propose a systems genetics approach in the post-GWA study era. This approach that integrates genetic, epigenetic, transcriptomic, proteomic, metabolic and intermediate outcome variables has potential to significantly aid the understanding of CAD etiology.
    Keywords atherosclerosis ; coronary artery disease ; epigenetics ; etiology ; genotype ; heritability ; loci ; phenotype ; proteomics ; single nucleotide polymorphism ; transcriptomics
    Language English
    Dates of publication 2012-11
    Size p. 1-10.
    Publishing place Elsevier Ireland Ltd
    Document type Article
    ZDB-ID 80061-2
    ISSN 1879-1484 ; 0021-9150
    ISSN (online) 1879-1484
    ISSN 0021-9150
    DOI 10.1016/j.atherosclerosis.2012.05.015
    Database NAL-Catalogue (AGRICOLA)

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  5. Article: lodGWAS: a software package for genome-wide association analysis of biomarkers with a limit of detection

    Vaez, Ahmad / van der Most, Peter J / Prins, Bram P / Snieder, Harold / van den Heuvel, Edwin / Alizadeh, Behrooz Z / Nolte, Ilja M

    Bioinformatics. 2016 May 15, v. 32, no. 10

    2016  

    Abstract: Summary: Genome-wide association study (GWAS) of a biomarker is complicated when the assay procedure of the biomarker is restricted by a Limit of Detection (LOD). Those observations falling outside the LOD cannot be simply discarded, but should be ... ...

    Abstract Summary: Genome-wide association study (GWAS) of a biomarker is complicated when the assay procedure of the biomarker is restricted by a Limit of Detection (LOD). Those observations falling outside the LOD cannot be simply discarded, but should be included into the analysis by applying an appropriate statistical method. However, the problem of LOD in GWAS analysis of such biomarkers is usually overlooked. ‘lodGWAS’ is a flexible, easy-to-use R package that provides a simple and elegant way for GWAS analysis of such biomarkers while simultaneously accommodating the problem of LOD by applying a parametric survival analysis method. Availability and implementation: http://cran.r-project.org/web/packages/lodGWAS Contacts: a.vaez@umcg.nl or i.m.nolte@umcg.nl Supplementary information: Supplementary data are available at Bioinformatics online.
    Keywords bioinformatics ; biomarkers ; computer software ; detection limit ; genome-wide association study
    Language English
    Dates of publication 2016-0515
    Size p. 1552-1554.
    Publishing place Oxford University Press
    Document type Article
    ZDB-ID 1468345-3
    ISSN 1460-2059 ; 1367-4803
    ISSN (online) 1460-2059
    ISSN 1367-4803
    DOI 10.1093/bioinformatics/btw021
    Database NAL-Catalogue (AGRICOLA)

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  6. Article ; Online: Genetics of coronary artery disease: genome-wide association studies and beyond.

    Prins, Bram P / Lagou, Vasiliki / Asselbergs, Folkert W / Snieder, Harold / Fu, Jingyuan

    Atherosclerosis

    2012  Volume 225, Issue 1, Page(s) 1–10

    Abstract: Genome-wide association (GWA) studies on coronary artery disease (CAD) have been very successful, identifying a total of 32 susceptibility loci so far. Although these loci have provided valuable insights into the etiology of CAD, their cumulative effect ... ...

    Abstract Genome-wide association (GWA) studies on coronary artery disease (CAD) have been very successful, identifying a total of 32 susceptibility loci so far. Although these loci have provided valuable insights into the etiology of CAD, their cumulative effect explains surprisingly little of the total CAD heritability. In this review, we first highlight and describe the type of genetic variants potentially underlying the missing heritability of CAD: single nucleotide polymorphisms (SNPs) or structural variants, each of which may either be common or rare. Although finding missing heritability is important, we further argue in this review that it constitutes only a first step towards a fuller understanding of the etiology of CAD development. To close the gap between the genotype and phenotype, we propose a systems genetics approach in the post-GWA study era. This approach that integrates genetic, epigenetic, transcriptomic, proteomic, metabolic and intermediate outcome variables has potential to significantly aid the understanding of CAD etiology.
    MeSH term(s) Coronary Artery Disease/genetics ; Genetic Predisposition to Disease ; Genome-Wide Association Study ; Genotype ; Humans ; Phenotype ; Polymorphism, Single Nucleotide ; Proteomics ; Quantitative Trait Loci ; Risk ; Systems Biology
    Language English
    Publishing date 2012-11
    Publishing country Ireland
    Document type Journal Article ; Research Support, Non-U.S. Gov't ; Review
    ZDB-ID 80061-2
    ISSN 1879-1484 ; 0021-9150
    ISSN (online) 1879-1484
    ISSN 0021-9150
    DOI 10.1016/j.atherosclerosis.2012.05.015
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: QCGWAS: A flexible R package for automated quality control of genome-wide association results.

    van der Most, Peter J / Vaez, Ahmad / Prins, Bram P / Munoz, M Loretto / Snieder, Harold / Alizadeh, Behrooz Z / Nolte, Ilja M

    Bioinformatics (Oxford, England)

    2014  Volume 30, Issue 8, Page(s) 1185–1186

    Abstract: QCGWAS is an R package that automates the quality control of genome-wide association result files. Its main purpose is to facilitate the quality control of a large number of such files before meta-analysis. Alternatively, it can be used by individual ... ...

    Abstract QCGWAS is an R package that automates the quality control of genome-wide association result files. Its main purpose is to facilitate the quality control of a large number of such files before meta-analysis. Alternatively, it can be used by individual cohorts to check their own result files. QCGWAS is flexible and has a wide range of options, allowing rapid generation of high-quality input files for meta-analysis of genome-wide association studies.
    Availability: http://cran.r-project.org/web/packages/QCGWAS CONTACT: i.m.nolte@umcg.nl Supplementary information: Supplementary data are available at Bioinformatics online.
    MeSH term(s) Computational Biology/methods ; Genome-Wide Association Study ; Humans ; Quality Control ; Software
    Language English
    Publishing date 2014-04-15
    Publishing country England
    Document type Journal Article
    ZDB-ID 1422668-6
    ISSN 1367-4811 ; 1367-4803
    ISSN (online) 1367-4811
    ISSN 1367-4803
    DOI 10.1093/bioinformatics/btt745
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Neurology-related protein biomarkers are associated with cognitive ability and brain volume in older age.

    Harris, Sarah E / Cox, Simon R / Bell, Steven / Marioni, Riccardo E / Prins, Bram P / Pattie, Alison / Corley, Janie / Muñoz Maniega, Susana / Valdés Hernández, Maria / Morris, Zoe / John, Sally / Bronson, Paola G / Tucker-Drob, Elliot M / Starr, John M / Bastin, Mark E / Wardlaw, Joanna M / Butterworth, Adam S / Deary, Ian J

    Nature communications

    2020  Volume 11, Issue 1, Page(s) 800

    Abstract: Identifying biological correlates of late life cognitive function is important if we are to ascertain biomarkers for, and develop treatments to help reduce, age-related cognitive decline. Here, we investigated the associations between plasma levels of 90 ...

    Abstract Identifying biological correlates of late life cognitive function is important if we are to ascertain biomarkers for, and develop treatments to help reduce, age-related cognitive decline. Here, we investigated the associations between plasma levels of 90 neurology-related proteins (Olink® Proteomics) and general fluid cognitive ability in the Lothian Birth Cohort 1936 (LBC1936, N = 798), Lothian Birth Cohort 1921 (LBC1921, N = 165), and the INTERVAL BioResource (N = 4451). In the LBC1936, 22 of the proteins were significantly associated with general fluid cognitive ability (β between -0.11 and -0.17). MRI-assessed total brain volume partially mediated the association between 10 of these proteins and general fluid cognitive ability. In an age-matched subsample of INTERVAL, effect sizes for the 22 proteins, although smaller, were all in the same direction as in LBC1936. Plasma levels of a number of neurology-related proteins are associated with general fluid cognitive ability in later life, mediated by brain volume in some cases.
    MeSH term(s) Aged ; Aged, 80 and over ; Aging ; Biomarkers/blood ; Biomarkers/metabolism ; Brain/diagnostic imaging ; Brain/metabolism ; Brain/pathology ; Cognition/physiology ; Female ; Humans ; Male ; Nerve Tissue Proteins/blood ; Nerve Tissue Proteins/metabolism ; Proteomics
    Chemical Substances Biomarkers ; Nerve Tissue Proteins
    Language English
    Publishing date 2020-02-10
    Publishing country England
    Document type Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't
    ZDB-ID 2553671-0
    ISSN 2041-1723 ; 2041-1723
    ISSN (online) 2041-1723
    ISSN 2041-1723
    DOI 10.1038/s41467-019-14161-7
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Genome-wide analysis of health-related biomarkers in the UK Household Longitudinal Study reveals novel associations.

    Prins, Bram P / Kuchenbaecker, Karoline B / Bao, Yanchun / Smart, Melissa / Zabaneh, Delilah / Fatemifar, Ghazaleh / Luan, Jian'an / Wareham, Nick J / Scott, Robert A / Perry, John R B / Langenberg, Claudia / Benzeval, Michaela / Kumari, Meena / Zeggini, Eleftheria

    Scientific reports

    2017  Volume 7, Issue 1, Page(s) 11008

    Abstract: Serum biomarker levels are associated with the risk of complex diseases. Here, we aimed to gain insights into the genetic architecture of biomarker traits which can reflect health status. We performed genome-wide association analyses for twenty serum ... ...

    Abstract Serum biomarker levels are associated with the risk of complex diseases. Here, we aimed to gain insights into the genetic architecture of biomarker traits which can reflect health status. We performed genome-wide association analyses for twenty serum biomarkers involved in organ function and reproductive health. 9,961 individuals from the UK Household Longitudinal Study were genotyped using the Illumina HumanCoreExome array and variants imputed to the 1000 Genomes Project and UK10K haplotypes. We establish a polygenic heritability for all biomarkers, confirm associations of fifty-four established loci, and identify five novel, replicating associations at genome-wide significance. A low-frequency variant, rs28929474, (beta = 0.04, P = 2 × 10
    MeSH term(s) Biomarkers/blood ; Family Characteristics ; Family Health ; Genetic Markers ; Genome-Wide Association Study ; Health Status ; Longitudinal Studies ; Reproductive Health ; United Kingdom
    Chemical Substances Biomarkers ; Genetic Markers
    Language English
    Publishing date 2017-09-08
    Publishing country England
    Document type Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't
    ZDB-ID 2615211-3
    ISSN 2045-2322 ; 2045-2322
    ISSN (online) 2045-2322
    ISSN 2045-2322
    DOI 10.1038/s41598-017-10812-1
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Beyond genome-wide association studies: new strategies for identifying genetic determinants of hypertension.

    Wang, Xiaoling / Prins, Bram P / Sõber, Siim / Laan, Maris / Snieder, Harold

    Current hypertension reports

    2011  Volume 13, Issue 6, Page(s) 442–451

    Abstract: Genetic linkage and association methods have long been the most important tools for gene identification in humans. These approaches can either be hypothesis-based (i.e., candidate-gene studies) or hypothesis-free (i.e., genome-wide studies). The first ... ...

    Abstract Genetic linkage and association methods have long been the most important tools for gene identification in humans. These approaches can either be hypothesis-based (i.e., candidate-gene studies) or hypothesis-free (i.e., genome-wide studies). The first part of this review offers an overview of the latest successes in gene finding for blood pressure (BP) and essential hypertension using these DNA sequence-based discovery techniques. We further emphasize the importance of post-genome-wide association study (post-GWAS) analysis, which aims to prioritize genetic variants for functional follow-up. Whole-genome next-generation sequencing will eventually be necessary to provide a more comprehensive picture of all DNA variants affecting BP and hypertension. The second part of this review discusses promising novel approaches that move beyond the DNA sequence and aim to discover BP genes that are differentially regulated by epigenetic mechanisms, including microRNAs, histone modification, and methylation.
    MeSH term(s) Blood Pressure ; Epigenesis, Genetic ; Genetic Linkage ; Genetic Predisposition to Disease ; Genome-Wide Association Study ; Humans ; Hypertension/epidemiology ; Hypertension/genetics ; MicroRNAs ; Polymorphism, Single Nucleotide ; Time Factors ; United States/epidemiology
    Chemical Substances MicroRNAs
    Language English
    Publishing date 2011-09-28
    Publishing country United States
    Document type Journal Article ; Review
    ZDB-ID 2057367-4
    ISSN 1534-3111 ; 1522-6417
    ISSN (online) 1534-3111
    ISSN 1522-6417
    DOI 10.1007/s11906-011-0230-y
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