Articles with "summary data" as a keyword



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Transcriptome‐wide summary data‐based Mendelian randomization analysis reveals 38 novel genes associated with severe COVID‐19

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Published in 2022 at "Journal of Medical Virology"

DOI: 10.1002/jmv.28162

Abstract: Severe COVID‐19 has a poor prognosis, while the genetic mechanism underlying severe COVID‐19 remains largely unknown. We aimed to identify genes that are potentially causally associated with severe COVID‐19. We conducted a summary data‐based Mendelian… read more here.

Keywords: severe covid; covid; analysis; associated severe ... See more keywords
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Statistical methods to detect novel genetic variants using publicly available GWAS summary data

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Published in 2018 at "Computational biology and chemistry"

DOI: 10.1016/j.compbiolchem.2018.02.016

Abstract: We propose statistical methods to detect novel genetic variants using only genome-wide association studies (GWAS) summary data without access to raw genotype and phenotype data. With more and more summary data being posted for public… read more here.

Keywords: detect novel; summary data; statistical methods; genetic variants ... See more keywords
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Integrating multi-omics summary data using a Mendelian randomization framework

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Published in 2022 at "Briefings in Bioinformatics"

DOI: 10.1093/bib/bbac376

Abstract: Abstract Mendelian randomization is a versatile tool to identify the possible causal relationship between an omics biomarker and disease outcome using genetic variants as instrumental variables. A key theme is the prioritization of genes whose… read more here.

Keywords: usepackage; multi omics; mendelian randomization; integrating multi ... See more keywords
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Integrative Analysis of Individual-Level Data and High-Dimensional Summary Statistics.

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Published in 2023 at "Bioinformatics"

DOI: 10.1093/bioinformatics/btad156

Abstract: MOTIVATION Researchers usually conduct statistical analyses based on models built on raw data collected from individual participants (individual-level data). There is a growing interest in enhancing inference efficiency by incorporating aggregated summary information from other… read more here.

Keywords: dimensional summary; level; individual level; high dimensional ... See more keywords
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Generalized integration model for improved statistical inference by leveraging external summary data

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Published in 2020 at "Biometrika"

DOI: 10.1093/biomet/asaa014

Abstract: SummaryMeta-analysis has become a powerful tool for improving inference by gathering evidence from multiple sources. It pools summary-level data from different studies to improve estimation efficiency with the assumption that all participating studies are analysed… read more here.

Keywords: generalized integration; summary data; external summary; model ... See more keywords
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OpenXGR: a web-server update for genomic summary data interpretation.

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Published in 2023 at "Nucleic acids research"

DOI: 10.1093/nar/gkad357

Abstract: How to effectively convert genomic summary data into downstream knowledge discovery represents a major challenge in human genomics research. To address this challenge, we have developed efficient and effective approaches and tools. Extending our previously… read more here.

Keywords: genomic summary; web server; snps genomic; summary data ... See more keywords
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Exploring Potential Causal Genes for Uterine Leiomyomas: A Summary Data-Based Mendelian Randomization and FUMA Analysis

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Published in 2022 at "Frontiers in Genetics"

DOI: 10.3389/fgene.2022.890007

Abstract: Objective: To explore potential causal genetic variants and genes underlying the pathogenesis of uterine leiomyomas (ULs). Methods: We conducted the summary data-based Mendelian randomization (SMR) analyses and performed functional mapping and annotation using FUMA to… read more here.

Keywords: based mendelian; analysis; uterine leiomyomas; data based ... See more keywords