Author

Matthew McGue

University of Minnesota

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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Genetics· 2 Bioinformatics· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Organism:human· 4 Approach:statistical model· 4 Research Focus:GWAS / association mapping· 2 Assay:GWAS summary statistics· 2 Research Focus:variant effect prediction· 2 Assay:whole-genome sequencing· 2 Research Focus:fine-mapping· 1 Assay:whole-exome sequencing· 1

Frequent Co-Authors

William G. IaconoiD· 4 shared John E. HokansoniD· 3 shared Mengzhen LiuiD· 3 shared Michael BoehnkeiD· 3 shared Scott I. VriezeiD· 3 shared Anita PanditiD· 2 shared Dajiang J. LiuiD· 2 shared Gonçalo R. AbecasisiD· 2 shared

Activity by Year

2017-2020 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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4 shared papersGenetics

William G. IaconoORCID

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Author profile →

4 papers

Recent·Most cited

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, Mengzhen Liu, Teemu Palviainen, Camelia C. Minică, Stephanie M. Zellers, Richard Sherva, Fazil Alıev, Michael Nothnagel, Kendra A. Young, Jesse A. Marks, Hannah E. Young, Megan Ulmer Carnes, Yuelong Guo, , 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.

Nature Communications · Nov 3, 2020Peer-reviewedGenomics

Extremely rare variants reveal patterns of germline mutation rate heterogeneity in humans

Jedidiah Carlson, Adam E. Locke, Matthew Flickinger, Matthew Zawistowski, Shawn Levy, R Myers, Michael Boehnke, Hyun Min Kang, Laura J. Scott, Jun Z. Li, Sebastian K. Zöllner, Devin Absher, Huda Akil, Gerome D. Breen, Margit Burmeister, , Stanley J. Watson

The paper analyzes rare variants to uncover mutation rate heterogeneity in the human genome, identifying genomic features that influence mutation rates.

Nature Communications · Sep 10, 2018Peer-reviewedGenetics

Proper Conditional Analysis in the Presence of Missing Data Identified Novel Independently Associated Low Frequency Variants in Nicotine Dependence Genes

Bibo Jiang, Sai Chen, Yu Jiang, Mengzhen Liu, William G. Iacono, John K. Hewitt, John E. Hokanson, Kenneth S. Krauter, Markku Laakso, Kevin W. Li, Sharon Marie Lutz, Matthew McGue, Daniel McGuire, Anita Pandit, Gregory J. M. Zajac, , Dajiang J. Liu

The paper develops a method to handle missing data in genetic meta-analysis, identifying novel low-frequency variants in nicotine dependence genes with improved accuracy.

bioRxiv · Nov 21, 2017 · PreprintGenetics

Association Analysis and Meta-Analysis of Multi-allelic Variants for Large Scale Sequence Data

Xiaowei Zhan, Sai Chen, Yu Jiang, Mengzhen Liu, William G. Iacono, John K. Hewitt, John E. Hokanson, Kenneth S. Krauter, Markku Laakso, Kevin W. Li, Sharon Marie Lutz, Matthew McGue, Anita Pandit, Gregory J. M. Zajac, Michael Boehnke, , Dajiang J. Liu

The paper develops methods to analyze multi-allelic variants in large sequence datasets, showing improved power and unbiased estimates in association tests.

bioRxiv · Oct 3, 2017 · PreprintBioinformatics