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Yan Wen

Researcher at National Health and Family Planning Commission

Publications -  147
Citations -  1562

Yan Wen is an academic researcher from National Health and Family Planning Commission. The author has contributed to research in topics: Medicine & Genome-wide association study. The author has an hindex of 13, co-authored 102 publications receiving 994 citations. Previous affiliations of Yan Wen include Xi'an Jiaotong University.

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CRISPR/Cas9 for genome editing: progress, implications and challenges

TL;DR: The molecular mechanism, applications and challenges of CRISPR/Cas9-mediated genome editing and clinical therapeutic potential ofCRISPR-associated protein 9 are reviewed and a protospacer adjacent motif locating at downstream of target sequences is reviewed.
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Identifying psychiatric disorder-associated gut microbiota using microbiota-related gene set enrichment analysis

TL;DR: The classic gene set enrichment analysis (GSEA) approach was extended to detect the association between gut microbiota and complex diseases using published genome-wide association study (GWAS) and GWAS of gut microbiota summary data and identified several significant associations between psychiatric disorders and gut microbiota.
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Socioeconomic Deprivation Index Is Associated With Psychiatric Disorders: An Observational and Genome-wide Gene-by-Environment Interaction Analysis in the UK Biobank Cohort.

TL;DR: The genome-wide gene-by-environment interaction study identified several candidate genes interacting with the TDI, providing novel clues for understanding the biological mechanism of associations between the TDI and psychiatric disorders.
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Assessing the Relationship Between Gut Microbiota and Bone Mineral Density.

TL;DR: The study findings support the weak relevance of gut microbiota with the development of BMD by showing suggestive association signal with gut microbiota after multiple testing correction.
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A Genome-wide Expression Association Analysis Identifies Genes and Pathways Associated with Amyotrophic Lateral Sclerosis.

TL;DR: This study conducted a genome-wide expression association analysis by summary data-based Mendelian randomization (SMR) method and identified one significant and four suggestive genes associated with ALS, providing novel clues for the genetic mechanism studies of ALS.