Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls

Wellcome Trust Case Control Consortium

doi:10.1038/nature05911

Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls

Wellcome Trust Case Control Consortium

Research output: Contribution to journal › Article › peer-review

8081 Citations (SciVal)

Abstract

There is increasing evidence that genome-wide association (GWA) studies represent a powerful approach to the identification of genes involved in common human diseases. We describe a joint GWA study (using the Affymetrix GeneChip 500K Mapping Array Set) undertaken in the British population, which has examined approximately 2,000 individuals for each of 7 major diseases and a shared set of approximately 3,000 controls. Case-control comparisons identified 24 independent association signals at P

Original language	English
Pages (from-to)	661-678
Number of pages	18
Journal	Nature
Volume	447
Issue number	7145
DOIs	https://doi.org/10.1038/nature05911
Publication status	Published - 7 Jun 2007

Keywords

Arthritis, Rheumatoid
Bipolar Disorder
Case-Control Studies
Chromosomes, Human
Coronary Artery Disease
Crohn Disease
Diabetes Mellitus
Gene Frequency
Genetic Markers
Genetic Predisposition to Disease
Genetics, Population
Genome, Human
Geography
Great Britain
Humans
Hypertension

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1038/nature05911

Cite this

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title = "Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls",

abstract = "There is increasing evidence that genome-wide association (GWA) studies represent a powerful approach to the identification of genes involved in common human diseases. We describe a joint GWA study (using the Affymetrix GeneChip 500K Mapping Array Set) undertaken in the British population, which has examined approximately 2,000 individuals for each of 7 major diseases and a shared set of approximately 3,000 controls. Case-control comparisons identified 24 independent association signals at P ",

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AB - There is increasing evidence that genome-wide association (GWA) studies represent a powerful approach to the identification of genes involved in common human diseases. We describe a joint GWA study (using the Affymetrix GeneChip 500K Mapping Array Set) undertaken in the British population, which has examined approximately 2,000 individuals for each of 7 major diseases and a shared set of approximately 3,000 controls. Case-control comparisons identified 24 independent association signals at P

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KW - Bipolar Disorder

KW - Case-Control Studies

KW - Chromosomes, Human

KW - Coronary Artery Disease

KW - Crohn Disease

KW - Diabetes Mellitus

KW - Gene Frequency

KW - Genetic Markers

KW - Genetic Predisposition to Disease

KW - Genetics, Population

KW - Genome, Human

KW - Geography

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KW - Hypertension

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