Author

Junyang Qian

Stanford University

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

Biology Disciplines

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Bioinformatics· 3 Genetic & Genomic Medicine· 1 Genetics· 1

Signature Assays, Organisms & Methods

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Organism:human· 5 Approach:statistical model· 5 Assay:GWAS summary statistics· 4 Research Focus:benchmarking· 3 Research Focus:polygenic risk· 3 Approach:machine learning (classical)· 2 Research Focus:variant effect prediction· 2 Research Focus:database / resource· 1

Frequent Co-Authors

Manuel A. RivasiD· 5 shared Robert John TibshiraniiD· 5 shared Trevor J. HastieiD· 5 shared Yosuke TanigawaiD· 5 shared Ruilin LiiD· 3 shared Christopher C. ChangiD· 2 shared Guhan Ram VenkataramaniD· 2 shared Johanne Marie JusteseniD· 2 shared

Activity by Year

2019-2022 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 39 mutual co-author links

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5 shared papersBioinformatics

Manuel A. RivasORCID

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Author profile →

5 papers

Recent·Most cited

Significant Sparse Polygenic Risk Scores across 813 traits in UK Biobank

Yosuke Tanigawa, Junyang Qian, Guhan Ram Venkataraman, Johanne Marie Justesen, Ruilin Li, Robert John Tibshirani, Trevor J. Hastie, Manuel A. Rivas

The paper develops sparse polygenic risk scores for 813 traits using UK Biobank data, showing significant predictive performance and a correlation between variant count and performance.

PLoS Genetics · Mar 24, 2022Peer-reviewedGenetic & Genomic Medicine

A Fast and Scalable Framework for Large-scale and Ultrahigh-dimensional Sparse Regression with Application to the UK Biobank

Junyang Qian, Yosuke Tanigawa, Wenfei Du, Matthew Aguirre, Christopher C. Chang, Robert John Tibshirani, Manuel A. Rivas, Trevor J. Hastie

This paper introduces a scalable framework for sparse regression on large-scale data, demonstrating improved prediction performance on UK Biobank traits using the BASIL method and snpnet package.

PLoS Genetics · Oct 23, 2020Peer-reviewedBioinformatics

Survival Analysis on Rare Events Using Group-Regularized Multi-Response Cox Regression

Ruilin Li, Christopher C. Chang, Johanne Marie Justesen, Yosuke Tanigawa, Junyang Qian, Trevor J. Hastie, Manuel A. Rivas, Robert John Tibshirani

The paper introduces a group-regularized Cox regression method for survival analysis of rare events using common responses, showing improved prediction performance on UK Biobank data.

Biostatistics · Aug 20, 2020Peer-reviewedBioinformatics

Large-Scale Sparse Regression for Multiple Responses with Applications to UK Biobank

Junyang Qian, Yosuke Tanigawa, Ruilin Li, Robert John Tibshirani, Manuel A. Rivas, Trevor J. Hastie

The paper develops a scalable sparse reduced-rank regression method for high-dimensional multitask learning, applied to UK Biobank data to generate polygenic risk scores.

bioRxiv · May 30, 2020 · PreprintBioinformatics

Genetics of 38 blood and urine biomarkers in the UK Biobank

Nasa Sinnott-Armstrong, Yosuke Tanigawa, David Amar, Nina Mars, Matthew Aguirre, Guhan Ram Venkataraman, Michael Wainberg, Hanna Maria Ollila, James P. Pirruccello, Junyang Qian, Anna Shcherbina, FinnGen, Fátima Rodríguez, Themistocles L. Assimes, Vineeta Agarwala, , Manuel A. Rivas

UK Biobank genetics of 38 blood and urine lab tests yields 1,857 independent loci; combining biomarker and disease polygenic scores improves FinnGen prediction of incident renal failure and alcoholic cirrhosis.

bioRxiv · Jun 5, 2019 · PreprintGenetics✦ In-depth digest