Author

Yuelong Guo

RTI InternationalORCID 0000-0003-1287-1906Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Genetics· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Research Focus:GWAS / association mapping· 2 Assay:GWAS summary statistics· 2 Organism:human· 2 Approach:statistical model· 2 Research Focus:clustering· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Bryan C. QuachiD· 2 shared Dana B. HancockiD· 2 shared Eric Otto JohnsoniD· 2 shared Jesse A. MarksiD· 2 shared Laura Jean BierutiD· 2 shared Nathan GaddisiD· 2 shared Adam GodzikiD· 1 shared Adriano ChiòiD· 1 shared

Activity by Year

2019-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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2 shared papersGenetics

Bryan C. QuachORCID

Mutual co-authors in cluster

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3 papers

Recent·Most cited

GeneticsbioRxivPreprintJan 10, 2022

Evaluation of methods incorporating biological function and GWAS summary statistics to accelerate discovery

Amy L Moore, Jesse A. Marks, Bryan C. Quach…·Eric Otto Johnson

This study evaluates 18 functional weighting methods to enhance GWAS discovery, finding some methods can nominate high PPV variants for multiple traits without increasing sample size.

3 citations

GWAS summary statisticsstatistical model

𝕏 PostBluesky

GenomicsNature CommunicationsPeer-reviewedNov 3, 2020

Expanding the Genetic Architecture of Nicotine Dependence and its Shared Genetics with Multiple Traits: Findings from the Nicotine Dependence GenOmics (iNDiGO) Consortium

Bryan C. Quach, Michael A. Bray, Nathan Gaddis…·Dana B. Hancock

The paper identifies novel genetic loci associated with nicotine dependence and shows genetic correlations with other smoking traits and comorbidities using genome-wide association studies.

119 citationstop 1%

humanGWAS summary statistics

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BioinformaticsScientific ReportsPeer-reviewedJan 24, 2019

Stratification of amyotrophic lateral sclerosis patients: a crowdsourcing approach

Robert Kueffner, Neta Zach, Maya Bronfeld…·Shihua Zhang

This study uses a crowdsourcing approach to stratify ALS patients, identifying four distinct clusters with unique predictors and improving outcome prediction.

55 citationstop 3%

humanmachine learning (classical)

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