Author

Jenkai Miao

Boston Children's Hospital

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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Genetic & Genomic Medicine· 3 Genetics· 1

Signature Assays, Organisms & Methods

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Organism:human· 4 Approach:statistical model· 4 Research Focus:GWAS / association mapping· 3 Assay:GWAS summary statistics· 3 Assay:bulk RNA-seq· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Alisa Knodle ManningiD· 2 shared Daniel I. ChasmaniD· 2 shared Franco Giulianini· 2 shared Han CheniD· 2 shared Joanne B. ColeiD· 2 shared José C. FloreziD· 2 shared Kenneth E. WestermaniD· 2 shared Alessandra ChesiiD· 1 shared

Activity by Year

2021-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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2 shared papersGenetic & Genomic Medicine

Alisa Knodle ManningORCID

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Author profile →

4 papers

Recent·Most cited

Leveraging polygenic enrichments of gene features to predict genes underlying complex traits and diseases

Elle M. Weeks, Jacob C. Ulirsch, Nathan Cheng, Brian L. Trippe, Rebecca S. Fine, Jenkai Miao, Tejal A. Patwardhan, Masahiro Kanai, Joseph Nasser, Charles P. Fulco, Katherine C. Tashman, François Aguet, Taibo Li, José Ordovás-Montañés, Christopher S. Smillie, , Hilary K. Finucane

The paper introduces a method to prioritize causal genes for complex traits by integrating GWAS data with gene expression and biological data, achieving high precision in gene-trait pair identification.

Nature Genetics · Jul 13, 2023Peer-reviewedGenetic & Genomic Medicine

Variance-quantitative trait loci enable systematic discovery of gene-environment interactions for cardiometabolic serum biomarkers

Kenneth E. Westerman, Timothy D. Majarian, Franco Giulianini, Dongkeun Jang, Jenkai Miao, José C. Florez, Han Chen, Daniel I. Chasman, Miriam S. Udler, Alisa Knodle Manning, Joanne B. Cole

The paper identifies variance-quantitative trait loci (vQTLs) and gene-environment interactions (GEIs) for cardiometabolic serum biomarkers using UK Biobank data.

Nature Communications · Jul 9, 2022Peer-reviewedGenetic & Genomic Medicine

A Saturated Map of Common Genetic Variants Associated with Human Height from 5.4 Million Individuals of Diverse Ancestries

Loïc Yengo, Sailaja Vedantam, Eirini Marouli, Julia Sidorenko, Eric Bartell, Saori Sakaue, Marielisa Graff, Anders Ulrik Eliasen, Yunxuan Jiang, Sridharan Raghavan, Jenkai Miao, Joshua D. Arias, Ronen E. Mukamel, Cassandra Nichole Spracklen, Xianyong Yin, , Thomas Folkmann Hansen

This study identifies 12,111 SNPs associated with height from 5.4 million individuals, explaining most common SNP-based heritability and showing ancestry-specific prediction accuracy.

bioRxiv · Jan 7, 2022 · PreprintGenetics

Genome-wide gene-diet interaction analysis in the UK Biobank identifies novel effects on Hemoglobin A1c

Kenneth E. Westerman, Jenkai Miao, Daniel I. Chasman, José C. Florez, Han Chen, Alisa Knodle Manning, Joanne B. Cole

The paper identifies five novel gene-diet interaction effects on HbA1c using UK Biobank data, highlighting interactions with dietary patterns and traits.

Human Molecular Genetics · Apr 14, 2021Peer-reviewedGenetic & Genomic Medicine