501. Centenarians as super-controls to assess the biological relevance of genetic risk factors for common age-related diseases: A proof of principle on type 2 diabetes
- Author
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Stefano Salvioli, Claudio Franceschi, Jan Vijg, Antonio Ceriello, Miriam Capri, Maria Giulia Bacalini, Cristina Giuliani, Yousin Suh, Donata Luiselli, Massimo Delledonne, Daniela Monti, Fabiola Olivieri, Paolo Tieri, Roberto Testa, Paolo Garagnani, Chiara Pirazzini, Federica Sevini, Daniela Mari, Rita Ostan, Giuseppe Passarino, Anna Rita Bonfigli, Stefano Genovese, Massimo Boemi, Garagnani P, Giuliani C, Pirazzini C, Olivieri F, Bacalini MG, Ostan R, Mari D, Passarino G, Monti D, Bonfigli AR, Boemi M, Ceriello A, Genovese S, Sevini F, Luiselli D, Tieri P, Capri M, Salvioli S, Vijg J, Suh Y, Delledonne M, Testa R, and Franceschi C.
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Genetic Markers ,Aging ,extreme phenotype ,Genotype ,Single-nucleotide polymorphism ,Type 2 diabetes ,Biology ,centenarian ,Bioinformatics ,Polymorphism, Single Nucleotide ,Type 2 diabete ,Gene Frequency ,Risk Factors ,age-related diseases ,Diabetes mellitus ,medicine ,Humans ,Allele ,Allele frequency ,Genetic association ,Aged, 80 and over ,Genetics ,Cell Biology ,medicine.disease ,extreme phenotypes ,centenarians ,genome wide screening ,TCF7L2 ,Diabetes Mellitus, Type 2 ,Gene Expression Regulation ,Research Paper - Abstract
Genetic association studies of age-related, chronic human diseases often suffer from a lack of power to detect modest effects. Here we propose an alternative approach of including healthy centenarians as a more homogeneous and extreme control group. As a proof of principle we focused on type 2 diabetes (T2D) and assessed allelic/genotypic associations of 31 SNPs associated with T2D, diabetes complications and metabolic diseases and SNPs of genes relevant for telomere stability and age-related diseases. We hypothesized that the frequencies of risk variants are inversely correlated with decreasing health and longevity. We performed association analyses comparing diabetic patients and non-diabetic controls followed by association analyses with extreme phenotypic groups (T2D patients with complications and centenarians). Results drew attention to rs7903146 (TCF7L2 gene) that showed a constant increase in the frequencies of risk genotype (TT) from centenarians to diabetic patients who developed macro-complications and the strongest genotypic association was detected when diabetic patients were compared to centenarians (p_value = 9.066*10−7). We conclude that robust and biologically relevant associations can be obtained when extreme phenotypes, even with a small sample size, are compared.