Literature DB >> 27365368

Association of Polymorphisms in Connective Tissue Growth Factor and Epidermal Growth Factor Receptor Genes With Human Longevity.

Timothy A Donlon1,2, Brian J Morris1,3,4, Qimei He1, Randi Chen1, Kamal H Masaki1,4, Richard C Allsopp5, D Craig Willcox1,4,6, Gregory J Tranah7, Neeta Parimi7, Daniel S Evans7, Friederike Flachsbart8, Almut Nebel8, Duk-Hwan Kim9, Joobae Park9, Bradley J Willcox1,4.   

Abstract

Growth pathways play key roles in longevity. The present study tested single-nucleotide polymorphisms (SNPs) in the connective tissue growth factor gene (CTGF) and the epidermal growth factor receptor gene (EGFR) for association with longevity. Comparison of allele and genotype frequencies of 12 CTGF SNPs and 41 EGFR SNPs between 440 American men of Japanese ancestry aged ≥95 years and 374 men of average life span revealed association with longevity at the p < .05 level for 2 SNPs in CTGF and 7 in EGFR. Two in CTGF and two in EGFR remained significant after Bonferroni correction. The SNPs of both CTGF and EGFR were in a haplotype block in each respective gene. Haplotype analysis confirmed the suggestive association found by χ2 analysis. We noted an excess of heterozygotes among the longevity cases, consistent with heterozygote advantage in living to extreme old age. No associations of the most significant SNPs were observed in whites or Koreans. In conclusion, the present findings indicate that genetic variation in CTGF and EGFR may contribute to the attainment of extreme old age in Japanese. More research is needed to confirm that genetic variation in CTGF and EGFR contributes to the attainment of extreme old age across human populations.
© The Author 2016. Published by Oxford University Press on behalf of The Gerontological Society of America. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  Case–control study; Connective tissue growth factor; Epidermal growth factor; Longevity; Molecular genetics

Mesh:

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Year:  2017        PMID: 27365368      PMCID: PMC5861942          DOI: 10.1093/gerona/glw116

Source DB:  PubMed          Journal:  J Gerontol A Biol Sci Med Sci        ISSN: 1079-5006            Impact factor:   6.053


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