Journal Article10.1101/2024.06.30.24309729
Associations of Circulating Biomarkers with Disease Risks: a Two-Sample Mendelian Randomization Study
Abdulkadir Elmas,Kevin Spehar,Ron Do,Joseph M. Castellano,Kuan‐lin Huang +4 more
- 01 Jul 2024
TL;DR: This Mendelian Randomization study not only corroborates known causal relationships between circulating biomarkers and diseases but also uncovers two novel biomarkers associated with bipolar disorder that warrant further investigation.
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Abstract: Circulating biomarkers play a pivotal role in personalized medicine, offering potential for disease screening, prevention, and treatment. Despite established associations between numerous biomarkers and diseases, elucidating their causal relationships is challenging. Mendelian Randomization (MR) can address this issue by employing genetic instruments to discern causal links. Additionally, using multiple MR methods with overlapping results enhances the reliability of discovered relationships.
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References
Mendelian Randomization Study on Amino Acid Metabolism Suggests Tyrosine as Causal Trait for Type 2 Diabetes.
Susanne Jäger,Rafael R. C. Cuadrat,Clemens Wittenbecher,Anna Floegel,Per Hoffmann,Cornelia Prehn,Jerzy Adamski,Tobias Pischon,Tobias Pischon,Matthias B. Schulze +9 more
TL;DR: For example, the authors found an inverse association for a per standard deviation increase in ln-transformed tyrosine/methionine ratio with type 2 diabetes (OR = 0.87 (0.81-0.93)).
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TL;DR: In this paper , the causal estimates from kidney function parameter, estimated glomerular filtration rate (eGFR), on 60 biochemical parameters by performing two-sample Mendelian randomization (MR) study in 337,138 white British UK Biobank participants.
Genetically instrumented LDL-cholesterol lowering and multiple disease outcomes: a Mendelian randomisation phenome-wide association study in the UK Biobank.
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