Author

Andy G. Lynch

University of CambridgeORCID 0000-0002-7876-7338Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:statistical model· 4 Assay:whole-genome sequencing· 4 Organism:human· 3 Research Focus:variant calling· 3 Research Focus:differential expression· 2 Research Focus:gene regulatory network inference· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Alexander Martinez‐FundichelyiD· 3 shared Ana Dueso-BarrosoiD· 3 shared Andrew J DunfordiD· 3 shared Barbara HutteriD· 3 shared Benedikt BrorsiD· 3 shared Cheng‐Zhong ZhangiD· 3 shared Chip StewartiD· 3 shared Dale W. GarsediD· 3 shared

Activity by Year

2018-2020 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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3 shared papersGenomics

Alexander Martinez‐FundichelyORCID

Mutual co-authors in cluster

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4 papers

Recent·Most cited

Genomic footprints of activated telomere maintenance mechanisms in cancer

Lina Sieverling, Chen Hong, Sandra D. Koser, Philip Ginsbach, Kortine Kleinheinz, Barbara Hutter, Delia M. Braun, Isidro Cortés‐Ciriano, Ruibin Xi, Rolf Kabbe, Peter J. Park, Roland Eils, Matthias Schlesner, PCAWG-Structural Variation Working Group, Kadir C. Akdemir, , Rehan Akbani

The paper analyzes whole-genome sequencing data from cancer samples to identify genomic footprints of telomere maintenance mechanisms, finding specific telomere variant repeat patterns associated with ATRX/DAXX mutations.

Nature Communications · Feb 5, 2020Peer-reviewedGenomics

Spatial Genome Organization as a Framework for Somatic Alterations in Human Cancer

Kadir Caner Akdemir, Victoria T. Le, Sahaana Chandran, Yilong Li, Roel G.W. Verhaak, Rameen Beroukhim, Peter J. Campbell, Lynda Chin, Jesse R. Dixon, P. Andrew Futreal, PCAWG Structural Variation Working Group, Kadir C. Akdemir, Eva G. Álvarez, Adrian Baez‐Ortega, Paul C. Boutros, , Ludmil B. Alexandrov

The paper examines how somatic structural variations affect TAD boundaries and gene regulation in human cancers using whole genome sequencing data.

Nature Genetics · Feb 5, 2020Peer-reviewedGenomics

Comprehensive analysis of chromothripsis in 2,658 human cancers using whole-genome sequencing

Isidro Cortés-Ciriano, Jake June-Koo Lee, Ruibin Xi, Dhawal S. Jain, Youngsook Lucy Jung, Lixing Yang, Dmitry A. Gordenin, Leszek J. Klimczak, Cheng‐Zhong Zhang, David S. Pellman, PCAWG Structural Variation Working Group, Kadir Caner Akdemir, Eva G. Álvarez, Adrian Baez‐Ortega, Rameen Beroukhim, , Kenneth Aldape

This study analyzes chromothripsis in 2,658 cancers using whole-genome sequencing, finding it prevalent across multiple cancer types with complex structural alterations.

Nature Genetics · Feb 5, 2020Peer-reviewedGenomics

Low-cost and clinically applicable copy number profiling using repeat DNA

Sam Abujudeh, Sebastian S. Zeki, MCV van Lanschot, Mark Pusung, Jamie M. J. Weaver, X Li, A Noorani, AJ Metz, Jan Bornschein, Lawrence Bower, Ahmad Miremadi, Rebecca Claire Fitzgerald, Edward R. Morrissey, Andy G. Lynch, Ayesha Noorani, , Richard Calvin Turkington

The paper introduces conliga, a method for inferring high-resolution SCNA profiles from a low-cost and simple assay, addressing the need for affordable SCNA analysis in clinical settings.

bioRxiv · Aug 19, 2018 · PreprintGenomics