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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…
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Keywords:
severe covid;
covid;
analysis;
associated severe ... See more keywords
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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…
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Keywords:
detect novel;
summary data;
statistical methods;
genetic variants ... See more keywords
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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…
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Keywords:
usepackage;
multi omics;
mendelian randomization;
integrating multi ... See more keywords
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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…
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Keywords:
dimensional summary;
level;
individual level;
high dimensional ... See more keywords
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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…
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Keywords:
generalized integration;
summary data;
external summary;
model ... See more keywords
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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…
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Keywords:
genomic summary;
web server;
snps genomic;
summary data ... See more keywords
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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…
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Keywords:
based mendelian;
analysis;
uterine leiomyomas;
data based ... See more keywords