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Ashish Kumar 

AshishKumar

Statistical Analyst

I am working in the domain of complex disease medical research, with specialization in bioinformatics and statistical genetics. Currently, I am part of two research groups and share my time between:

 

Research Summary:

 

My work at Oxford (with McCarthy group) is focussed on the genetics of Type 2 Diabetes (T2D) and related phenotypes on GOT2D and Metabochip projects.

GOT2D project is looking into the genetic architecture of type 2 diabetes (T2D) using a combination of low-coverage sequencing data, exome data and 2.5M Omni chip array from Illumina.

Metabochip - A custom iSELECT array containing ~195,000 SNPs, designed to support large scale follow up of putative associations for T2D and other metabolic and cardiovascular traits. It is spread across various international consortia like DIAGRAM (T2D genetics), EU-funded ENGAGE consortium (www.euengage.org), GIANT (anthropometric traits), MAGIC (continuous glycaemic traits), etc.

In Basel, the work is focussed on the genetics of asthma, which is caused by a combination of genetic and environmental effects, and despite being rare a hundred years ago; it has become increasingly common in developed and developing societies across the world. The Chronic Disease Epidemiology group in Basel investigates etiology underlying chronic diseases, and is involved with large cohort studies, such as the internationally renowned Swiss SAPALDIA study (ongoing for 20 years), and other collaborations world-wide.

 

Earlier, I was in the Department of Cardiovascular Medicine, working with Prof. Martin Farrall on a EU Framework 6 grant called GABRIEL, co-ordinated by Prof. Bill Cookson. The project aimed at investigating the genetic and environmental causes of asthma in the European Community. 

The first phase of genetic analysis involved GWAS (Genome-Wide Association Studies) across 994 cases and 1243 controls (from 2 cohorts), and led to the discovery of link between ORMDL3 and childhood asthma. The findings have been published in an article in Nature journal.

The second phase involved 22 cohorts for GWAS across approximately 25000 cases and controls. For this, the genotyping was done on Illumina 610-Quad BeadChips at CNG, Paris.

 

I've commissioned and manage various high computing servers like DellTM  PowerEdgeTM  R905 (four Six-Core AMD OpteronTM8000 Series processors, 128 GB RAM) and Sun Fire V40z server (four dual-core AMD OpteronTM  64-bit CPUs, 16 GB RAM) with Red Hat Enterprise Linux 5Also attached are various capacities of "Storage Array" solutions for upto 12 TB space.

Previously, I have worked in the industry for around 8 yrs; in the UK as Bioinformatician / IT analyst with companies like Unilever & Volkswagen; in India with some promising start-ups like Omeganet India (now merged into Onicra), LinkEdge TechnologiesCareer Launcher and Netaquila Solutions; providing IT consultancy, project management, business development and client account management (in business process automation, ERP - Enterprise Resource Planning, database development, data migration and ware-housing, b2b).

 

Publications

 

Industry Research - at Unilever

 

Keywords: Bioinformatics, Biostatistics, type 2 diabetes, asthma, METABOCHIP, GOT2D, SUMMIT, Data quality control, GWAS

 

Sponsors:

Contact Details:

Ashish Kumar
Bioinformatics and statistical analysis
OCDEM/ WTCHG
University of Oxford
Roosevelt Drive
Oxford
OX3 7BN

 

Tel: +44 (0) 1865 287715

Fax: +44 (0) 1865 287586

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URL: http://users.ox.ac.uk/~card0095/

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