Author

Fengjiao Hu

National Institutes of Health

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

Click to filter author papers

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:GWAS / association mapping· 2 Assay:GWAS summary statistics· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1

Frequent Co-Authors

Dmitri V. ZaykiniD· 2 shared Olga A. VsevolozhskayaiD· 2 shared Min ShiiD· 1 shared

Activity by Year

2019-2020 · peak 1/yr

Co-Author Collaboration Network

3 top collaborators · 3 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersGenetics

Dmitri V. ZaykinORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

GeneticsPLoS Computational BiologyPeer-reviewedApr 14, 2020

DOT: Gene-set analysis by combining decorrelated association statistics

Olga A. Vsevolozhskaya, Min Shi, Fengjiao Hu, Dmitri V. Zaykin

DOT improves gene-set analysis by decorrelating SNP-level statistics, enhancing power in heterogeneous effect size scenarios.

14 citations

GWAS summary statisticsstatistical model

GeneticsFrontiers in GeneticsPeer-reviewedNov 19, 2019

Detecting weak signals by combining small P-values in genetic association studies

Olga A. Vsevolozhskaya, Fengjiao Hu, Dmitri V. Zaykin

The paper introduces a new method for combining P-values in genetic association studies to detect weak signals, demonstrating improved power in identifying associations of μ-opioid receptor variants with pain sensitivity.

10 citations

humanGWAS summary statistics