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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 2024 at "Statistics in Medicine"
DOI: 10.1002/sim.10279
Abstract: The success of a Mendelian randomization (MR) study critically depends on the validity of the assumptions underlying MR. We focus on detecting heterogeneity (also known as horizontal pleiotropy) in two‐sample summary‐data MR. A popular approach…
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Keywords:
summary data;
mendelian randomization;
sample summary;
two sample ... 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 2025 at "Virulence"
DOI: 10.1080/21505594.2025.2473631
Abstract: ABSTRACT Chronic kidney and urinary tract diseases, including glomerulonephritis, nephrotic syndrome, and chronic kidney disease (CKD), present significant global health challenges. Recent studies suggest a complex interplay between infectious pathogens and immune-mediated kidney damage. This…
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Keywords:
based mendelian;
summary data;
pathogen;
data based ... 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 2025 at "Medicine"
DOI: 10.1097/md.0000000000041804
Abstract: Endometriosis (EM) significantly impacts the quality of life, and its diagnosis currently relies on surgery, which carries risks and may miss early lesions. Noninvasive biomarkers are urgently needed for early diagnosis and personalized treatment. This…
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Keywords:
analysis;
based mendelian;
summary data;
machine learning ... See more keywords
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Published in 2025 at "Medicine"
DOI: 10.1097/md.0000000000045953
Abstract: Although systemic lupus erythematosus (SLE) and clear cell renal cell carcinoma (ccRCC) are clinically distinct, emerging evidence suggests they may share underlying genetic and immunoregulatory mechanisms. However, the specific molecular basis of their potential comorbidity…
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Keywords:
ccrcc;
revealing genetic;
analysis;
summary data ... See more keywords
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Published in 2024 at "PLOS Genetics"
DOI: 10.1371/journal.pgen.1011322
Abstract: As more multi-ancestry GWAS summary data become available, we have developed a comprehensive trans-ancestry pathway analysis framework that effectively utilizes this diverse genetic information. Within this framework, we evaluated various strategies for integrating genetic data…
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Keywords:
ancestry pathway;
summary data;
pathway analysis;
gwas summary ... See more keywords