Staff Details

Dr Will Rayner
Head of Data Informatics

Phone: +49 89 3187 43818
E-mail
Building/Room: 3533/217

 

 

  

 

Research:

I am interested in all aspects of data management and the informatics required to support the storage, management, quality control and dissemination of the many forms of biological data currently used in the analysis of human common complex diseases, ranging from phenotypes and Electronic Health Records to multi-omic "Big Data".

I am also interested in the use and applicability of cutting edge techniques, such as machine learning, and their application to the storage and processing of biological data, to join up the wide variety of data types now available, and to provide insights into human complex diseases and thereby deliver better, more personalised, healthcare.

Skills:

  • Data management
  • Data analysis
  • Genotype arrays
  • Management
  • Project management
  • Software development
  • Website development
  • Programming languages incl: Perl, C, Java, FORTRAN, PHP, BASIC, ZPL II, PL/SQL, HTML
  • Bioinformatics

Selected publications:

Mahajan, A. ; … ; Rayner, NW. ; McCarthy, MI.
Refining the accuracy of validated target identification through coding variant fine-mapping in type 2 diabetes.
Nat. Genet. 559-571. (2018) 

Mahajan, A. ; … ; Rayner, NW. ; Zeggini, E. ; McCarthy, MI. 
Fine-mapping type 2 diabetes loci to single-variant resolution using high-density imputation and islet-specific epigenome maps.
Nat. Genet. 1505-1513 (2018)

Gilly, A. ; … ; Southam, L. ; Hatzikotoulas, K. ; Rayner, NW. ; Zeggini, E.
Cohort-wide deep whole genome sequencing and the allelic architecture of complex traits.
Nat. Commun. 9:5460 (2018)

Warrington, NM. ; … ; Rayner, NW. ; Freathy, RM.
Maternal and fetal genetic effects on birth weight and their relevance to cardio-metabolic risk factors.
Nat. Genet. 804-814 (2019) 

Flannick, J. ; … ; Rayner, NW. ; Boehnke, M.
Exome sequencing of 20,791 cases of type 2 diabetes and 24,440 controls.

Timeline: