Author

Jo Nishino

Tokyo Medical and Dental UniversityORCID 0000-0001-7057-3048Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Genetic & Genomic Medicine· 1 Genetics· 1 Genomics· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Assay:GWAS summary statistics· 3 Organism:human· 3 Approach:statistical model· 3 Research Focus:GWAS / association mapping· 2 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Fuyuki MiyaiD· 2 shared Mamoru KatoiD· 2 shared Tatsuhiko TsunodaiD· 2 shared Akira MurakamiiD· 1 shared Carlo RivoltaiD· 1 shared Daichi ShigemizuiD· 1 shared Hidenori Ochi· 1 shared Hiroko TerasakiiD· 1 shared

Activity by Year

2018-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 26 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 papersGenetic & Genomic Medicine

Fuyuki MiyaORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Genetic & Genomic MedicinemedRxivPreprintMar 20, 2024

Gene-based Hardy-Weinberg equilibrium test using genotype count data identifies novel cancer-related genes

Jo Nishino, Fuyuki Miya, Mamoru Kato

The paper introduces a gene-based Hardy-Weinberg equilibrium test (gene-HWT) to identify cancer-related genes by aggregating SNP-level HWE statistics, finding novel genes and variants associated with cancer.

1 citation

humanGWAS summary statistics

𝕏 PostBluesky

GeneticsbioRxivPreprintDec 1, 2019

Systematic detection of Mendelian and non-Mendelian variants associated with retinitis pigmentosa by genome-wide association study

Koji M. Nishiguchi, Fuyuki Miya, Yuka Mori…·Toru Nakazawa

This study uses GWAS to identify Mendelian and non-Mendelian variants associated with retinitis pigmentosa, uncovering new genetic causes and therapeutic targets.

3 citations

humanGWAS summary statistics

𝕏 PostBluesky

GenomicsFrontiers in GeneticsPeer-reviewedApr 24, 2018

Empirical Bayes estimation of semi-parametric hierarchical mixture models for unbiased characterization of polygenic disease architectures

Jo Nishino, Yuta Kochi, Daichi Shigemizu…·Shigeyuki Matsui

The paper uses empirical Bayes estimation of semi-parametric hierarchical mixture models to analyze GWAS summary statistics and characterize the polygenic architectures of schizophrenia and rheumatoid arthritis.

10 citations

humanGWAS summary statistics

𝕏 PostBluesky