Author

Andries T. Marees

QIMR Berghofer Medical Research InstituteORCID 0000-0002-9781-7492Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genetic & Genomic Medicine· 2 Genetics· 1

Signature Assays, Organisms & Methods

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Assay:GWAS summary statistics· 3 Organism:human· 3 Approach:statistical model· 3 Research Focus:fine-mapping· 2 Research Focus:GWAS / association mapping· 2 Research Focus:benchmarking· 1 Research Focus:eQTL / molecular QTL mapping· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Eske M. DerksiD· 2 shared T. J. GalamaiD· 2 shared Abdel AbdellaouiiD· 1 shared Benjamin W. DomingueiD· 1 shared Damiaan A J P DenysiD· 1 shared Dirk J. A. SmitiD· 1 shared Jackson G. ThorpiD· 1 shared Jessica D. FauliD· 1 shared

Activity by Year

2019-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 19 mutual co-author links

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2 shared papersGenetic & Genomic Medicine

Eske M. DerksORCID

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3 papers

Recent·Most cited

Genetic & Genomic MedicinemedRxivPreprintNov 10, 2022

Correcting for volunteer bias in GWAS uncovers novel genetic variants and increases heritability estimates

Sjoerd van Alten, Benjamin W. Domingue, Jessica D. Faul…·Andries T. Marees

This paper develops WGWAS to correct volunteer bias in GWAS, uncovering novel genetic variants and increasing heritability estimates for specific phenotypes.

6 citations

humanGWAS summary statistics

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Genetic & Genomic MedicineNature Human BehaviourPeer-reviewedMar 8, 2021

Genetic correlates of socio-economic status influence the pattern of shared heritability across mental health traits

Andries T. Marees, Dirk J. A. Smit, Abdel Abdellaoui…·Eske M. Derks

The paper investigates how genetic correlates of socio-economic status affect shared heritability across mental health traits using genome-wide association summary statistics.

71 citationstop 2%

humanGWAS summary statistics

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GeneticsPsychological MedicinePeer-reviewedSep 18, 2019

Investigating Genetic Heterogeneity in Major Depression Through Item-level Genetic Analyses of the PHQ-9

Jackson G. Thorp, Andries T. Marees, Jue‐Sheng Ong…·Eske M. Derks

This study performs item-level genetic analyses of the PHQ-9 to explore genetic heterogeneity in major depression, identifying novel loci and revealing distinct genetic correlations across symptoms.

67 citationstop 5%

humanGWAS summary statistics

𝕏 PostBluesky