Literature DB >> 33948810

Effect of longevity genetic variants on the molecular aging rate.

Anastasia Gurinovich1, Zeyuan Song1, William Zhang2, Anthony Federico3, Stefano Monti3,4, Stacy L Andersen5, Lori L Jennings6, David J Glass7, Nir Barzilai2, Sofiya Millman2, Thomas T Perls5, Paola Sebastiani8.   

Abstract

We conducted a genome-wide association study of 1320 centenarians from the New England Centenarian Study (median age = 104 years) and 2899 unrelated controls using >9 M genetic variants imputed to the HRC panel of ~65,000 haplotypes. The genetic variants with the most significant associations were correlated to 4131 proteins that were profiled in the serum of a subset of 224 study participants using a SOMAscan array. The genetic associations were replicated in a genome-wide association study of 480 centenarians and ~800 controls of Ashkenazi Jewish descent. The proteomic associations were replicated in a proteomic scan of approximately 1000 Ashkenazi Jewish participants from a third cohort. The analysis replicated a protein signature associated with APOE genotypes and confirmed strong overexpression of BIRC2 (p < 5E-16) and under-expression of APOB in carriers of the APOE2 allele (p < 0.05). The analysis also discovered and replicated associations between longevity variants and slower changes of protein biomarkers of aging, including a novel protein signature of rs2184061 (CDKN2A/CDKN2B in chromosome 9) that suggests a genetic regulation of GDF15. The analyses showed that longevity variants correlate with proteome signatures that could be manipulated to discover healthy-aging targets.

Entities:  

Keywords:  Extreme human longevity; Genetic variants; Molecular aging rate; SOMAscan array

Mesh:

Year:  2021        PMID: 33948810      PMCID: PMC8190315          DOI: 10.1007/s11357-021-00376-4

Source DB:  PubMed          Journal:  Geroscience        ISSN: 2509-2723            Impact factor:   7.581


  48 in total

1.  Centenarians: the older you get, the healthier you have been.

Authors:  R Hitt; Y Young-Xu; M Silver; T Perls
Journal:  Lancet       Date:  1999-08-21       Impact factor: 79.321

2.  Exceptional familial clustering for extreme longevity in humans.

Authors:  T Perls; M Shea-Drinkwater; J Bowen-Flynn; S B Ridge; S Kang; E Joyce; M Daly; S J Brewster; L Kunkel; A A Puca
Journal:  J Am Geriatr Soc       Date:  2000-11       Impact factor: 5.562

3.  Life-long sustained mortality advantage of siblings of centenarians.

Authors:  Thomas T Perls; John Wilmoth; Robin Levenson; Maureen Drinkwater; Melissa Cohen; Hazel Bogan; Erin Joyce; Stephanie Brewster; Louis Kunkel; Annibale Puca
Journal:  Proc Natl Acad Sci U S A       Date:  2002-06-11       Impact factor: 11.205

4.  Health span approximates life span among many supercentenarians: compression of morbidity at the approximate limit of life span.

Authors:  Stacy L Andersen; Paola Sebastiani; Daniel A Dworkis; Lori Feldman; Thomas T Perls
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2012-01-04       Impact factor: 6.053

5.  Increasing Sibling Relative Risk of Survival to Older and Older Ages and the Importance of Precise Definitions of "Aging," "Life Span," and "Longevity".

Authors:  Paola Sebastiani; Lisa Nussbaum; Stacy L Andersen; Mara J Black; Thomas T Perls
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2015-03-26       Impact factor: 6.053

Review 6.  Exceptional Human Longevity.

Authors:  Robert J Pignolo
Journal:  Mayo Clin Proc       Date:  2018-12-10       Impact factor: 7.616

Review 7.  The genetics of human ageing.

Authors:  David Melzer; Luke C Pilling; Luigi Ferrucci
Journal:  Nat Rev Genet       Date:  2019-11-05       Impact factor: 53.242

8.  Disentangling the roles of disability and morbidity in survival to exceptional old age.

Authors:  Dellara F Terry; Paola Sebastiani; Stacy L Andersen; Thomas T Perls
Journal:  Arch Intern Med       Date:  2008-02-11

9.  Genome-wide association study identifies a single major locus contributing to survival into old age; the APOE locus revisited.

Authors:  Joris Deelen; Marian Beekman; Hae-Won Uh; Quinta Helmer; Maris Kuningas; Lene Christiansen; Dennis Kremer; Ruud van der Breggen; H Eka D Suchiman; Nico Lakenberg; Erik B van den Akker; Willemijn M Passtoors; Henning Tiemeier; Diana van Heemst; Anton J de Craen; Fernando Rivadeneira; Eco J de Geus; Markus Perola; Frans J van der Ouderaa; David A Gunn; Dorret I Boomsma; André G Uitterlinden; Kaare Christensen; Cornelia M van Duijn; Bastiaan T Heijmans; Jeanine J Houwing-Duistermaat; Rudi G J Westendorp; P Eline Slagboom
Journal:  Aging Cell       Date:  2011-05-06       Impact factor: 9.304

10.  Genetic signatures of exceptional longevity in humans.

Authors:  Paola Sebastiani; Nadia Solovieff; Andrew T Dewan; Kyle M Walsh; Annibale Puca; Stephen W Hartley; Efthymia Melista; Stacy Andersen; Daniel A Dworkis; Jemma B Wilk; Richard H Myers; Martin H Steinberg; Monty Montano; Clinton T Baldwin; Josephine Hoh; Thomas T Perls
Journal:  PLoS One       Date:  2012-01-18       Impact factor: 3.240

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  4 in total

Review 1.  Research priorities for measuring biologic age: summary and future directions from the Research Centers Collaborative Network Workshop.

Authors:  Tina E Brinkley; Jamie N Justice; Shubhashrita Basu; Scott R Bauer; Kah Poh Loh; Peter Mukli; Ted Kheng Siang Ng; Indira C Turney; Luigi Ferrucci; Steven R Cummings; Stephen B Kritchevsky
Journal:  Geroscience       Date:  2022-10-15       Impact factor: 7.581

Review 2.  Advances and Utility of the Human Plasma Proteome.

Authors:  Eric W Deutsch; Gilbert S Omenn; Zhi Sun; Michal Maes; Maria Pernemalm; Krishnan K Palaniappan; Natasha Letunica; Yves Vandenbrouck; Virginie Brun; Sheng-Ce Tao; Xiaobo Yu; Philipp E Geyer; Vera Ignjatovic; Robert L Moritz; Jochen M Schwenk
Journal:  J Proteome Res       Date:  2021-10-21       Impact factor: 5.370

3.  Dietary patterns and survival to 100 + years: an empty systematic review of cohort and case-control studies.

Authors:  Winnie Poulsen; Kaare Christensen; Christine Dalgård
Journal:  Arch Public Health       Date:  2022-06-29

4.  Evaluation of GENESIS, SAIGE, REGENIE and fastGWA-GLMM for genome-wide association studies of binary traits in correlated data.

Authors:  Anastasia Gurinovich; Mengze Li; Anastasia Leshchyk; Harold Bae; Zeyuan Song; Konstantin G Arbeev; Marianne Nygaard; Mary F Feitosa; Thomas T Perls; Paola Sebastiani
Journal:  Front Genet       Date:  2022-09-23       Impact factor: 4.772

  4 in total

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