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Mendelian randomization studies of biomarkers and type 2 diabetes

Many biomarkers are associated with type 2 diabetes (T2D) risk in epidemiological observations. The aim of this study was to identify and summarize current evidence for causal effects of biomarkers on T2D. A systematic literature search in PubMed and EMBASE (until April 2015) was done to identify Me...

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Autor principal: Abbasi, Ali
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Bioscientifica Ltd 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4654400/
https://www.ncbi.nlm.nih.gov/pubmed/26446360
http://dx.doi.org/10.1530/EC-15-0087
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author Abbasi, Ali
author_facet Abbasi, Ali
author_sort Abbasi, Ali
collection PubMed
description Many biomarkers are associated with type 2 diabetes (T2D) risk in epidemiological observations. The aim of this study was to identify and summarize current evidence for causal effects of biomarkers on T2D. A systematic literature search in PubMed and EMBASE (until April 2015) was done to identify Mendelian randomization studies that examined potential causal effects of biomarkers on T2D. To replicate the findings of identified studies, data from two large-scale, genome-wide association studies (GWAS) were used: DIAbetes Genetics Replication And Meta-analysis (DIAGRAMv3) for T2D and the Meta-Analyses of Glucose and Insulin-related traits Consortium (MAGIC) for glycaemic traits. GWAS summary statistics were extracted for the same genetic variants (or proxy variants), which were used in the original Mendelian randomization studies. Of the 21 biomarkers (from 28 studies), ten have been reported to be causally associated with T2D in Mendelian randomization. Most biomarkers were investigated in a single cohort study or population. Of the ten biomarkers that were identified, nominally significant associations with T2D or glycaemic traits were reached for those genetic variants related to bilirubin, pro-B-type natriuretic peptide, delta-6 desaturase and dimethylglycine based on the summary data from DIAGRAMv3 or MAGIC. Several Mendelian randomization studies investigated the nature of associations of biomarkers with T2D. However, there were only a few biomarkers that may have causal effects on T2D. Further research is needed to broadly evaluate the causal effects of multiple biomarkers on T2D and glycaemic traits using data from large-scale cohorts or GWAS including many different genetic variants.
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spelling pubmed-46544002015-11-25 Mendelian randomization studies of biomarkers and type 2 diabetes Abbasi, Ali Endocr Connect Research Many biomarkers are associated with type 2 diabetes (T2D) risk in epidemiological observations. The aim of this study was to identify and summarize current evidence for causal effects of biomarkers on T2D. A systematic literature search in PubMed and EMBASE (until April 2015) was done to identify Mendelian randomization studies that examined potential causal effects of biomarkers on T2D. To replicate the findings of identified studies, data from two large-scale, genome-wide association studies (GWAS) were used: DIAbetes Genetics Replication And Meta-analysis (DIAGRAMv3) for T2D and the Meta-Analyses of Glucose and Insulin-related traits Consortium (MAGIC) for glycaemic traits. GWAS summary statistics were extracted for the same genetic variants (or proxy variants), which were used in the original Mendelian randomization studies. Of the 21 biomarkers (from 28 studies), ten have been reported to be causally associated with T2D in Mendelian randomization. Most biomarkers were investigated in a single cohort study or population. Of the ten biomarkers that were identified, nominally significant associations with T2D or glycaemic traits were reached for those genetic variants related to bilirubin, pro-B-type natriuretic peptide, delta-6 desaturase and dimethylglycine based on the summary data from DIAGRAMv3 or MAGIC. Several Mendelian randomization studies investigated the nature of associations of biomarkers with T2D. However, there were only a few biomarkers that may have causal effects on T2D. Further research is needed to broadly evaluate the causal effects of multiple biomarkers on T2D and glycaemic traits using data from large-scale cohorts or GWAS including many different genetic variants. Bioscientifica Ltd 2015-10-07 /pmc/articles/PMC4654400/ /pubmed/26446360 http://dx.doi.org/10.1530/EC-15-0087 Text en © 2015 The authors http://creativecommons.org/licenses/by/3.0/deed.en_GB This work is licensed under a Creative Commons Attribution 3.0 Unported License (http://creativecommons.org/licenses/by/3.0/deed.en_GB) .
spellingShingle Research
Abbasi, Ali
Mendelian randomization studies of biomarkers and type 2 diabetes
title Mendelian randomization studies of biomarkers and type 2 diabetes
title_full Mendelian randomization studies of biomarkers and type 2 diabetes
title_fullStr Mendelian randomization studies of biomarkers and type 2 diabetes
title_full_unstemmed Mendelian randomization studies of biomarkers and type 2 diabetes
title_short Mendelian randomization studies of biomarkers and type 2 diabetes
title_sort mendelian randomization studies of biomarkers and type 2 diabetes
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4654400/
https://www.ncbi.nlm.nih.gov/pubmed/26446360
http://dx.doi.org/10.1530/EC-15-0087
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