Author

Cramer Christensen

Vejle Sygehus

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· 5 Genomics· 1

Signature Assays, Organisms & Methods

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Organism:human· 6 Approach:statistical model· 6 Assay:whole-exome sequencing· 4 Research Focus:fine-mapping· 3 Assay:GWAS summary statistics· 3 Research Focus:GWAS / association mapping· 2 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Ivan BrandslundiD· 6 shared Niels GrarupiD· 6 shared Allan R LinnebergiD· 4 shared Jette Bork‐JenseniD· 4 shared Lawrence F. BielakiD· 4 shared Marit E. JørgenseniD· 4 shared Torben F. HanseniD· 4 shared Xiuqing GuoiD· 4 shared

Activity by Year

2018-2019 · peak 4/yr

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10 top collaborators · 45 mutual co-author links

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6 shared papersGenetics

Ivan BrandslundORCID

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6 papers

Recent·Most cited

Tissue-Specific Alteration of Metabolic Pathways Influences Glycemic Regulation

Natasha Hui Jin Ng, Sara M. Willems, Juan Fernandez, Rebecca S. Fine, Eleanor Wheeler, Jennifer Wessel, Hidetoshi Kitajima, Gaëlle Marenne, Jana K. Rundle, Xueling Sim, Hanieh Yeghootkar, Nicola L. Beer, Anne Raimondo, Andrei I. Tarasov, Soren K. Thomsen, , Abbas Dehghan

The paper identifies genetic variants and transcripts associated with glycemic traits by analyzing exome-array data from 144,600 individuals, highlighting tissue-specific roles in glucose regulation.

bioRxiv · Oct 3, 2019 · PreprintGenetics

PROTEIN-CODING VARIANTS IMPLICATE NOVEL GENES RELATED TO LIPID HOMEOSTASIS CONTRIBUTING TO BODY FAT DISTRIBUTION

Anne E. Justice, Tugce Karaderi, Heather M. Highland, Kristin L. Young, Mariaelisa Graff, Yingchang Lu, Valérie Turcot, Paul Livermore Auer, Rebecca S. Fine, Xiuqing Guo, Claudia Schurmann, Adelheid M. Lempradl, Eirini Marouli, Anubha Mahajan, Thomas W. Winkler, , Andrew Tym Hattersley

This study identifies 15 common and 9 low-frequency protein-coding variants associated with body fat distribution, implicating novel genes related to lipid homeostasis and type 2 diabetes.

Nature Genetics · Feb 18, 2019Peer-reviewedGenetics

Exome-wide association study on Albuminuria identifies a novel rare variant in CUBN and additional genes, in 33,985 Europeans with and without diabetes

Tarunveer S. Ahluwalia, Christina‐Alexandra Schulz, Johannes Waage, Tea Skaaby, Niina Sandholm, Natalie Van Zuydam, Romain Charmet, Jette Bork‐Jensen, Peter Almgren, Betina Heinsbæk Thuesen, Mathilda Bedin, Ivan Brandslund, Cramer Christensen, Allan R Linneberg, Emma Ahlqvist, , Torben F. Hansen

Diabetologia · Dec 13, 2018Peer-reviewedGenetics

Refining The Accuracy Of Validated Target Identification Through Coding Variant Fine-Mapping In Type 2 Diabetes

Anubha Mahajan, Jennifer Wessel, Sara M. Willems, Wei Zhao, Neil R. Robertson, Audrey Y. Chu, Wei Gan, Hidetoshi Kitajima, Daniel Taliun, Nigel William Rayner, Xiuqing Guo, Yingchang Lu, Man Li, Richard A. Jensen, Yao Hu, , Jun Liu

This study identifies 16 causal coding variants in type 2 diabetes using fine-mapping and shows that one third of signals are false leads.

Nature Genetics · Apr 1, 2018Peer-reviewedGenetics

A Comprehensive Reanalysis Of Publicly Available GWAS Datasets Reveals An X Chromosome Rare Regulatory Variant Associated With High Risk For Type 2 Diabetes.

Sílvia Bonàs‐Guarch, Marta Guindo-Martínez, Irene Miguel-Escalada, Niels Grarup, David Sebastián, Elias Rodríguez-Fos, Friman Sánchez, Mercè Planas-Fèlix, Paula Cortés-Sánchez, Santiago González, Pascal N. Timshel, Tune H. Pers, Claire C. Morgan, Ignasi Morán, Goutham Atla, , David Torrents

The paper reanalyzes T2D GWAS data to identify a rare X chromosome variant associated with increased T2D risk in males.

Nature Communications · Jan 16, 2018Peer-reviewedGenetics

Fine-mapping of an expanded set of type 2 diabetes loci to single-variant resolution using high-density imputation and islet-specific epigenome maps

Anubha Mahajan, Daniel Taliun, Matthias Thurner, Neil R. Robertson, Jason Torres, Nigel William Rayner, Valgerður Steinthórsdóttir, Robert A. Scott, Niels Grarup, James P. Cook, Ellen M. Schmidt, Matthias Wuttke, Chloé Sarnowski, Reedik Mägi, Jana Nano, , Claudia Langenberg

This study fine-maps type 2 diabetes loci to single-variant resolution using high-density imputation and islet-specific epigenome maps, identifying 73 variants with >80% posterior probability of association.

bioRxiv · Jan 9, 2018 · PreprintGenomics