Author

Catherine Mary Schooling

City University of New YorkORCID 0000-0001-9933-5887Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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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 Approach:Bayesian inference· 1 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1

Frequent Co-Authors

Shiu Lun Au YeungiD· 3 shared Gabriel Matthew LeungiD· 2 shared Jian V. HuangiD· 2 shared Jie V. ZhaoiD· 2 shared Andrea BaccarelliiD· 1 shared Benjamin John CowlingiD· 1 shared Bohan FaniD· 1 shared June Yue Yan LeungiD· 1 shared

Activity by Year

2019-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 30 mutual co-author links

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3 shared papersGenetics

Shiu Lun Au YeungORCID

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4 papers

Recent·Most cited

GeneticseLifePeer-reviewedMay 5, 2023

Environment-wide and epigenome-wide association study of adiposity in "Children of 1997" birth cohort

Jie V. Zhao, Bohan Fan, Jian V. Huang…·Catherine Mary Schooling

This study identifies modifiable factors and epigenetic markers associated with adiposity in adolescents from Hong Kong using EWAS and EWAS.

12 citations

humanbulk RNA-seq

𝕏 PostBluesky

GeneticsFrontiers in GeneticsPeer-reviewedJan 15, 2021

Use of multivariable Mendelian randomization to address biases due to competing risk before recruitment

Catherine Mary Schooling, PRISCILLA M. LOPEZ, Zhao Yang…·Jian V. Huang

This paper uses multivariable Mendelian randomization to adjust for competing risk bias in MR studies, showing corrected effects of statin use on ischemic stroke in UK Biobank but not MEGASTROKE.

102 citationstop 1%

humanGWAS summary statistics

𝕏 PostBluesky

GeneticsPLoS ONEPeer-reviewedFeb 11, 2020

The effect of liver enzymes on body composition: a Mendelian randomization study

Junxi Liu, Shiu Lun Au Yeung, Man Ki Kwok…·Catherine Mary Schooling

This paper uses Mendelian randomization to investigate the effect of liver enzymes on body composition, finding inverse associations between ALT and fat mass.

6 citations

humanstatistical model

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GeneticsbioRxivPreprintJul 20, 2019

Biases in GWAS - the dog that did not bark

Catherine Mary Schooling

This study identifies selection bias in GWAS due to survival and competing risks, showing that genetic associations with diseases depend on survival effects and can reverse for related diseases.

10 citations

humanGWAS summary statistics

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