15 research outputs found
Coding and regulatory variants are associated with serum protein levels and disease.
Circulating proteins can be used to diagnose and predict disease-related outcomes. A deep serum proteome survey recently revealed close associations between serum protein networks and common disease. In the current study, 54,469 low-frequency and common exome-array variants were compared to 4782 protein measurements in the serum of 5343 individuals from the AGES Reykjavik cohort. This analysis identifies a large number of serum proteins with genetic signatures overlapping those of many diseases. More specifically, using a study-wide significance threshold, we find that 2021 independent exome array variants are associated with serum levels of 1942 proteins. These variants reside in genetic loci shared by hundreds of complex disease traits, highlighting serum proteins' emerging role as biomarkers and potential causative agents of a wide range of diseases
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Coding and regulatory variants are associated with serum protein levels and disease.
Circulating proteins can be used to diagnose and predict disease-related outcomes. A deep serum proteome survey recently revealed close associations between serum protein networks and common disease. In the current study, 54,469 low-frequency and common exome-array variants were compared to 4782 protein measurements in the serum of 5343 individuals from the AGES Reykjavik cohort. This analysis identifies a large number of serum proteins with genetic signatures overlapping those of many diseases. More specifically, using a study-wide significance threshold, we find that 2021 independent exome array variants are associated with serum levels of 1942 proteins. These variants reside in genetic loci shared by hundreds of complex disease traits, highlighting serum proteins' emerging role as biomarkers and potential causative agents of a wide range of diseases
Neuregulin 1 and susceptibility to schizophrenia
To access full text version of this article. Please click on the hyperlink "View/Open" at the bottom of this pageThe cause of schizophrenia is unknown, but it has a significant genetic component. Pharmacologic studies, studies of gene expression in man, and studies of mouse mutants suggest involvement of glutamate and dopamine neurotransmitter systems. However, so far, strong association has not been found between schizophrenia and variants of the genes encoding components of these systems. Here, we report the results of a genomewide scan of schizophrenia families in Iceland; these results support previous work, done in five populations, showing that schizophrenia maps to chromosome 8p. Extensive fine-mapping of the 8p locus and haplotype-association analysis, supplemented by a transmission/disequilibrium test, identifies neuregulin 1 (NRG1) as a candidate gene for schizophrenia. NRG1 is expressed at central nervous system synapses and has a clear role in the expression and activation of neurotransmitter receptors, including glutamate receptors. Mutant mice heterozygous for either NRG1 or its receptor, ErbB4, show a behavioral phenotype that overlaps with mouse models for schizophrenia. Furthermore, NRG1 hypomorphs have fewer functional NMDA receptors than wild-type mice. We also demonstrate that the behavioral phenotypes of the NRG1 hypomorphs are partially reversible with clozapine, an atypical antipsychotic drug used to treat schizophrenia
Mid-thigh cortical bone structural parameters, muscle mass and strength, and association with lower limb fractures in older men and women (AGES-Reykjavik Study).
To access publisher full text version of this article. Please click on the hyperlink in Additional Links field.In a cross-sectional study we investigated the relationship between muscle and bone parameters in the mid-thigh in older people using data from a single axial computed tomographic section through the mid-thigh. Additionally, we studied the association of these variables with incident low-trauma lower limb fractures. A total of 3,762 older individuals (1,838 men and 1,924 women), aged 66-96Â years, participants in the AGES-Reykjavik study, were studied. The total cross-sectional muscular area and knee extensor strength declined with age similarly in both sexes. Muscle parameters correlated most strongly with cortical area and total shaft area (adjusted for age, height, and weight) but explained <10Â % of variability in those bone parameters. The increment in medullary area (MA) and buckling ratio (BR) with age was almost fourfold greater in women than men. The association between MA and muscle parameters was nonsignificant. During a median follow-up of 5.3Â years, 113 women and 66 men sustained incident lower limb fractures. Small muscular area, low knee extensor strength, large MA, low cortical thickness, and high BR were significantly associated with fractures in both sexes. Our results show that bone and muscle loss proceed at different rates and with different gender patterns.NIH
N01-AG-1-2100
NIA
Hjartavernd (the Icelandic Heart Association)
Althingi (the Icelandic Parliament)
memorial fund of Helga Jonsdottir and Sigurlidi Kristjansson
University of Icelan
ACE2 levels are altered in comorbidities linked to severe outcome in COVID-19 Subtitle: ACE2 serum levels are increased in metabolic disease
Importance Recent reports have shown that hypertension, kidney disease, obesity, type 2 diabetes (T2D) and cardiovascular disease are the among the most common comorbidities associated with severe outcome from the current coronavirus disease 2019 (COVID-19), which may be related to the frailty and/or medication use of this patient population. However, it´s possible that individuals with these comorbidities have altered serum levels of ACE2, the cellular entry point for the coronavirus SARS-CoV-2.
Objective To examine if individuals that manifest with comorbidities associated with severe outcome from COVID-19 have altered circulating levels of ACE2.
Design, Setting, and Participants A single center population-based study of 5457 Icelanders from the Age, Gene/Environment Susceptibility Reykjavik Study (AGES-RS) of the elderly (mean age 75±6 years) investigated with respect to hypertension, T2D, obesity or CHD.
Main Outcomes and Measures Associations of serum levels of ACE2 were examined in the AGES-RS study population according to body mass index (BMI) (kg/m2), hypertension, type 2 diabetes (T2D), CHD and other relevant phenotypes.
Results ACE2 levels were significantly elevated in the sera from smokers and individuals suffering from T2D and/or obesity, while males had reduced ACE2 levels
Conclusions and Relevance ACE2 levels are upregulated in some patient groups with comorbidities linked to COVID-19 and as such may have an emerging role as a circulating biomarker for severity of outcome in COVID-19
A genome-wide association study of serum proteins reveals shared loci with common diseases
With the growing number of genetic association studies, the genotype-phenotype atlas has
become increasingly more complex, yet the functional consequences of most disease
associated alleles is not understood. The measurement of protein level variation in solid
tissues and biofluids integrated with genetic variants offers a path to deeper functional
insights. Here we present a large-scale proteogenomic study in 5,368 individuals, revealing
4,035 independent associations between genetic variants and 2,091 serum proteins, of which
36% are previously unreported. The majority of both cis- and trans-acting genetic signals are
unique for a single protein, although our results also highlight numerous highly pleiotropic
genetic effects on protein levels and demonstrate that a protein’s genetic association profile
reflects certain characteristics of the protein, including its location in protein networks, tissue
specificity and intolerance to loss of function mutations. Integrating protein measurements
with deep phenotyping of the cohort, we observe substantial enrichment of phenotype
associations for serum proteins regulated by established GWAS loci, and offer new insights
into the interplay between genetics, serum protein levels and complex disease