Author

Dmitriy Drichel

University of CologneORCID 0000-0001-5978-3458Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genetic & Genomic Medicine· 1 Genetics· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Research Focus:GWAS / association mapping· 3 Organism:human· 3 Approach:statistical model· 3 Assay:whole-genome sequencing· 2 Assay:GWAS summary statistics· 1 Assay:long-read sequencing· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Michael NothnageliD· 2 shared Abdullah Mesut ErzurumluogluiD· 1 shared Aleksandr Kantorovich· 1 shared Alex WaldropiD· 1 shared Boehringer Ingelheim – Global Computational Biology and Digital Sciences· 1 shared Boris BartholdyiD· 1 shared Boris NoyvertiD· 1 shared Bryan C. QuachiD· 1 shared

Activity by Year

2020-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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2 shared papersGenomics

Michael NothnagelORCID

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3 papers

Recent·Most cited

Genetic & Genomic MedicinemedRxivPreprintDec 20, 2023

Imputation of structural variants using a multi-ancestry long-read sequencing panel enables identification of disease associations

Boris Noyvert, Abdullah Mesut Erzurumluoglu, Dmitriy Drichel…·Zhihao Ding

The paper imputes structural variants using a multi-ancestry long-read sequencing panel and identifies disease associations in large-scale datasets.

13 citations

humanwhole-genome sequencing

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GenomicsNature CommunicationsPeer-reviewedNov 3, 2020

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…·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.

119 citationstop 1%

humanGWAS summary statistics

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GeneticsEuropean Journal of Human GeneticsPeer-reviewedMay 15, 2020

The exhaustive genomic scan approach, with an application to rare-variant association analysis

George Kanoungi, Michael Nothnagel, Tim Becker, Dmitriy Drichel

The paper introduces an exhaustive genomic scan method to identify significant regions in rare-variant association studies, finding novel associations for age-related macular degeneration and schizophrenia.

2 citations

humanwhole-genome sequencing

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