Population and Comparative Genomics:

Generation and analysis of large data sets to perform high resolution analysis of functional genetic variation in the human genome

Human Evolution:

An evolutionary perspective on human genetic variation, health and disease

Genome Dynamics and Evolution:

Pathogenic consequences and evolutionary role of chromosomal rearrangements and gene conversion

Metabolic disease:

Our aim is to understand the genetic aetiology of type 2 diabetes and obesity and the biological processes that underlie genetic predisposition.

Genetics of complex traits in humans:

Our initial focus is in using SNPs to determine the extent of linkage disequilibrium across the genome and define common haplotypes in major populations

Molecular Cytogenetics:

Chromosome organisation and structure in human disease

Genome-wide profiling of human diseases:

Integrated genome wide profiling of common traits: Genetics of cardiovascular and neuropsychiatric diseases

Genetics of common neurological diseases:

Studying common neurological traits such as migraine and multiple sclerosis

Cancer Genome Project:

Identifying somatically acquired sequence variants/mutations and hence genes critical in the development of human cancers

Coronary Artery Disease Informatics:

The Cardiogenics project aims at discovering genetic variations leading to coronary artery disease, thereby uncovering the underlying disease mechanisms and helping develop new treatments

Statistical Genetics of Disease association:

Statistical Genetics of Disease association, Drug response, and Ethnic Variation

Statistical Genetics:

Statistical and Mathematical analysis of genetic variation and related phenomena in human and other populations

DECIPHER:

DatabasE of Chromosomal Imbalance and Phenotype in Humans using Ensembl Resources

Microarray Facility:

Development and use of high-density arrays for expression profiling

HapMap 3:

These are the draft releases for the third phase of the HapMap project (HapMap III).

Genotyping Pipeline:

The aim of the genotyping facility is to implement a combination of robust genotyping platforms to undertake large-scale genetic analyses.

Sample Logistics Pipeline:

The Sample Logistic Facility is responsible for receipt, QC and delivery of large numbers of DNA samples to/from various collaborators to other parts of the WTSI.

WTSI Software:

The informatics department has developed many widely used standalone software packages that are available to the research community. These include tools for gene prediction, motif identification and genome search and assembly:

• Analysis
• Sequencing
• Mapping

ENCODE:

Encyclopedia Of DNA Elements project sets out to identify all functional elements in the human genome sequence

HAVANA:

Human And Vertebrate Analysis aNd Annotation group

Bloodomics:

Aims to discover genetic markers for the prediction of thrombus formation in coronary artery disease and to design better anti-thrombotics for improved prevention and treatment

Copy Number Variation:

The CNV project examines copy number changes in the population

Diabesity:

Diabesity is a EU FP6 Integrated Project that involves 27 groups from across Europe.

InterAct:

InterAct is a EU FP6 Integrated Project that involves many groups from Europe and also India.

Cardiogenics:

Aims at discovering genetic variations leading to coronary artery disease, thereby uncovering the underlying disease mechanisms and helping develop new treatments

Wellcome Trust Case Control Consortium:

Search for the genetic signposts for tuberculosis, coronary heart disease, type 1 diabetes, type 2 diabetes, rheumatoid arthritis, Crohn's disease and ulcerative colitis, bipolar disorder and hypertension.

1000 Genomes:

The 1000 Genomes Project will develop a new map of the human genome that will provide a view of biomedically relevant DNA variations at a resolution unmatched by current resources.

Human Genome Project:

To access the Human Genome Project (HGP) research programme resources here at the WTSI

Genome Reference Consortium:

The Genome Reference Consortium was formed to improve the representation of the human reference assembly.