Mendelian Randomization Analysis of the Possible Causal Relationships Between Neurodevelopment‐Related Proteins and Bipolar Disorder
Sign Up to like & getrecommendations! Published in 2025 at "Brain and Behavior"
DOI: 10.1002/brb3.70442
Abstract: Bipolar disorder (BD) is a complex mental condition of which the mechanism of onset remains unclear. Mendelian randomization (MR) allows evaluation of the causal effects of biomarkers by minimizing the risks of reverse causation and… read more here.
Keywords: relationships neurodevelopment; disorder; causal relationships; neurodevelopment related ... See more keywords
Causal relationships between inflammatory factors and multiple myeloma: A bidirectional Mendelian randomization study
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Cancer"
DOI: 10.1002/ijc.34214
Abstract: Changes in serum inflammatory factors occur throughout the onset and multiple myeloma (MM) progression, the feedback loops make it harder to distinguish between causes and effects. In the present study, we performed a bidirectional summary‐level… read more here.
Keywords: mendelian randomization; inflammatory factors; multiple myeloma; causal relationships ... See more keywords
Assessing the Causal Relationships Between Lipid Species and Stroke by Using Mendelian Randomization
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DOI: 10.1007/s12035-025-04697-9
Abstract: Circulating lipids and changes in lipid profiles have long been associated with the development of stroke but causal relationships remain unclear.In this study, we aimed to assess the causal relationships between lipid species and multiple… read more here.
Keywords: relationships lipid; causal relationships; lipid species; mendelian randomization ... See more keywords
The bidirectional causal relationships of insomnia with five major psychiatric disorders: A Mendelian randomization study
Sign Up to like & getrecommendations! Published in 2019 at "European Psychiatry"
DOI: 10.1016/j.eurpsy.2019.05.004
Abstract: Abstract Background: Several observational studies have investigated the association of insomnia with psychiatric disorders. Such studies yielded mixed results, and whether these associations are causal remains unclear. Thus, we aimed to identify the causal relationships… read more here.
Keywords: psychiatric disorders; disorder; relationships insomnia; insomnia five ... See more keywords
An analysis of causal relationships among challenges impeding redistributed manufacturing in emerging economies
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DOI: 10.1016/j.jclepro.2019.04.011
Abstract: Abstract Constantly increasing wages and transportation costs with market uncertainty have initiated “re-shoring” programs and the establishment of low-scale localized production for advanced economies. For the purpose, Re-distributed Manufacturing (RdM) concept emerges as an essential… read more here.
Keywords: causal relationships; relationships among; analysis causal; among challenges ... See more keywords
Exploring shared genetic bases and causal relationships of schizophrenia and bipolar disorder with 28 cardiovascular and metabolic traits
Sign Up to like & getrecommendations! Published in 2018 at "Psychological Medicine"
DOI: 10.1017/s0033291718001812
Abstract: Abstract Background Cardiovascular diseases represent a major health issue in patients with schizophrenia (SCZ) and bipolar disorder (BD), but the exact nature of cardiometabolic (CM) abnormalities involved and the underlying mechanisms remain unclear. Psychiatric medications… read more here.
Keywords: exploring shared; genetic bases; bipolar disorder; shared genetic ... See more keywords
Mendelian randomization analyses support causal relationships between blood metabolites and the gut microbiome
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DOI: 10.1038/s41588-021-00968-y
Abstract: The gut microbiome has been implicated in a variety of physiological states, but controversy over causality remains unresolved. Here, we performed bidirectional Mendelian randomization analyses on 3,432 Chinese individuals with whole-genome, whole-metagenome, anthropometric and blood… read more here.
Keywords: causal relationships; randomization analyses; gut microbiome; blood ... See more keywords
miRDDCR: a miRNA-based method to comprehensively infer drug-disease causal relationships
Sign Up to like & getrecommendations! Published in 2017 at "Scientific Reports"
DOI: 10.1038/s41598-017-15716-8
Abstract: Revealing the cause-and-effect mechanism behind drug-disease relationships remains a challenging task. Recent studies suggested that drugs can target microRNAs (miRNAs) and alter their expression levels. In the meanwhile, the inappropriate expression of miRNAs will lead… read more here.
Keywords: disease; drug; drug disease; disease causal ... See more keywords
Causal relationships between immunophenotypes, plasma metabolites, and temporomandibular disorders based on Mendelian randomization
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DOI: 10.1038/s41598-024-73330-x
Abstract: While numerous studies have underscored the implication of immune cells and metabolites in temporomandibular disorders (TMD), conclusive evidence for causality remains elusive. Consequently, our aim is to explore the causal connections between immunophenotypes and plasma… read more here.
Keywords: immunophenotypes plasma; metabolites temporomandibular; causal relationships; plasma metabolites ... See more keywords
Causal relationships between three plasma proteins and non-alcoholic fatty liver disease, mediated by Epstein-Barr virus EA-D antibody levels: a mendelian randomization study
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DOI: 10.1038/s41598-024-77105-2
Abstract: Non-alcoholic fatty liver disease (NAFLD) is a major global health concern, with its prevalence increasing steadily. While plasma proteins have been implicated in NAFLD, establishing causal relationships has been challenging due to confounding factors in… read more here.
Keywords: antibody levels; epstein barr; plasma proteins; causal relationships ... See more keywords
Understanding complex systems through differential causal networks
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DOI: 10.1038/s41598-024-78606-w
Abstract: In the evolving landscape of data science and computational biology, Causal Networks (CNs) have emerged as a robust framework for modelling causal relationships among elements of complex systems derived from experimental data. CNs can efficiently… read more here.
Keywords: understanding complex; causal relationships; differential causal; complex systems ... See more keywords