ArticleHealth science reports2024
Multidimensional Approach of Genotype and Phenotype in Stroke Etiology: The MAGPIE Study.
Article in Health science reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
4 citing papers in PubMed.
- The case for an integrated biobanking initiative in South Asia.The Lancet regional health. Southeast Asia · 2026Review
- Article
- Association of Paternal Diabetes With Hemorrhagic Stroke in Bangladeshi Women: The MAGPIE Study.Health science reports · 2025Article
- Anthropometric Measurements in Predicting Haemorrhagic Stroke Among Bangladeshi Population: The MAGPIE Study.Journal of multidisciplinary healthcare · 2024Article
Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background and Aims: Stroke is a leading cause of mortality and morbidity in Bangladesh. It is estimated that genetic determinants account for around 40%-60% of its etiology, similar to environmental factors. This study aimed to provide a better understanding of the genetic, environmental, and clinical risk factors in stroke patients from Bangladesh. Methods: The MAGPIE (Multidimensional Approach of Genotype and Phenotype In Stroke Etiology) study is a population-based case-control study that will allow a hypothesis-free genome-wide association study (GWAS) to identify genetic risk factors associated with adult stroke (age ≥ 18 years) in Bangladesh. This study will collect detailed phenotypic data as well as blood samples from stroke patients and control subjects. High-molecular-weight genomic DNA will be isolated and archived using Qiagen DNA isolation kits. Results: We will utilize SPSS v28.0, vR-4.3.2 and gPLINK v2.0 software to analyse the study variables, as appropriate. Further, appropriate statistical tests will be applied to test the significance level between study groups. As applicable, data will be presented in tables and graphs, such as Manhattan plots and Quantile-Quantile (QQ) plots. A Conclusion: This will be the first large-scale carefully phenotyped biobank of Bangladeshi stroke patients which will enable a GWAS enabling an understanding of the association between gene-phenotype risk factors which has the potential to revise and refine national stroke guidelines.
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Registered trials
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