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Genome-wide association study (GWAS)-identified disease risk alleles do not compromise human longevity.

ABSTRACT: A set of currently known alleles increasing the risk for coronary artery disease, cancer, and type 2 diabetes as identified by genome-wide association studies was tested for compatibility with human longevity. Here, we show that nonagenarian siblings from long-lived families and singletons older than 85 y of age from the general population carry the same number of disease risk alleles as young controls. Longevity in this study population is not compromised by the cumulative effect of this set of risk alleles for common disease.

SUBMITTER: Beekman M

PROVIDER: S-EPMC2964208 | biostudies-literature | 2010 Oct

REPOSITORIES: biostudies-literature

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Genome-wide association study (GWAS)-identified disease risk alleles do not compromise human longevity.

Beekman Marian M Nederstigt Christa C Suchiman H Eka D HE Kremer Dennis D van der Breggen Ruud R Lakenberg Nico N Alemayehu Wendimagegn Ghidey WG de Craen Anton J M AJ Westendorp Rudi G J RG Boomsma Dorret I DI de Geus Eco J C EJ Houwing-Duistermaat Jeanine J JJ Heijmans Bastiaan T BT Slagboom P Eline PE

Proceedings of the National Academy of Sciences of the United States of America 20101004 42

A set of currently known alleles increasing the risk for coronary artery disease, cancer, and type 2 diabetes as identified by genome-wide association studies was tested for compatibility with human longevity. Here, we show that nonagenarian siblings from long-lived families and singletons older than 85 y of age from the general population carry the same number of disease risk alleles as young controls. Longevity in this study population is not compromised by the cumulative effect of this set of ...[more]

PMID: 20921414

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Project description:An increasing proportion of the worldwide population is affected by allergic diseases such as allergic rhinitis (AR), atopic dermatitis (AD) and allergic asthma and improved treatment options are needed particularly for severe, refractory disease. Allergic diseases are complex and development involves both environmental and genetic factors. Although the existence of a genetic component for allergy was first described almost 100 years ago, progress in gene identification has been hindered by lack of high throughput technologies to investigate genetic variation in large numbers of subjects. The development of Genome-Wide Association Studies (GWAS), a hypothesis-free method of interrogating large numbers of common variants spanning the entire genome in disease and non-disease subjects has revolutionised our understanding of the genetics of allergic disease. Susceptibility genes for asthma, AR and AD have now been identified with confidence, suggesting there are common and distinct genetic loci associated with these diseases, providing novel insights into potential disease pathways and mechanisms. Genes involved in both adaptive and innate immune mechanisms have been identified, notably including multiple genes involved in epithelial function/secretion, suggesting that the airway epithelium may be particularly important in asthma. Interestingly, concordance/discordance between the genetic factors driving allergic traits such as IgE levels and disease states such as asthma have further supported the accumulating evidence for heterogeneity in these diseases. While GWAS have been useful and continue to identify novel genes for allergic diseases through increased sample sizes and phenotype refinement, future approaches will integrate analyses of rare variants, epigenetic mechanisms and eQTL approaches, leading to greater insight into the genetic basis of these diseases. Gene identification will improve our understanding of disease mechanisms and generate potential therapeutic opportunities.

Dataset Information

Genome-wide association study (GWAS)-identified disease risk alleles do not compromise human longevity.

Publications

Genome-wide association study (GWAS)-identified disease risk alleles do not compromise human longevity.

Similar Datasets

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