1
|
Yashin AI, Arbeev KG, Wu D, Arbeeva LS, Bagley O, Stallard E, Kulminski AM, Akushevich I, Fang F, Wojczynski MK, Christensen K, Newman AB, Boudreau RM, Province MA, Thielke S, Perls TT, An P, Elo I, Ukraintseva SV. Genetics of Human Longevity From Incomplete Data: New Findings From the Long Life Family Study. J Gerontol A Biol Sci Med Sci 2018; 73:1472-1481. [PMID: 30299504 PMCID: PMC6175028 DOI: 10.1093/gerona/gly057] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2017] [Indexed: 02/04/2023] Open
Abstract
The special design of the Long Life Family Study provides a unique opportunity to investigate the genetics of human longevity by analyzing data on exceptional lifespans in families. In this article, we performed two series of genome wide association studies of human longevity which differed with respect to whether missing lifespan data were predicted or not predicted. We showed that the use of predicted lifespan is most beneficial when the follow-up period is relatively short. In addition to detection of strong associations of SNPs in APOE, TOMM40, NECTIN2, and APOC1 genes with longevity, we also detected a strong new association with longevity of rs1927465, located between the CYP26A1 and MYOF genes on chromosome 10. The association was confirmed using data from the Health and Retirement Study. We discuss the biological relevance of the detected SNPs to human longevity.
Collapse
Affiliation(s)
- Anatoliy I Yashin
- Biodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, North Carolina,Address correspondence to: Anatoliy I. Yashin, PhD, Biodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, North Carolina. E-mail:
| | - Konstantin G Arbeev
- Biodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, North Carolina
| | - Deqing Wu
- Biodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, North Carolina
| | - Liubov S Arbeeva
- Thurston Arthritis Research Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Olivia Bagley
- Biodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, North Carolina
| | - Eric Stallard
- Biodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, North Carolina
| | - Alexander M Kulminski
- Biodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, North Carolina
| | - Igor Akushevich
- Biodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, North Carolina
| | - Fang Fang
- Biodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, North Carolina
| | - Mary K Wojczynski
- Department of Genetics, Washington University School of Medicine in St Louis, St Louis, Missouri
| | - Kaare Christensen
- Department of Epidemiology, University of Southern Denmark, Odense, Denmark
| | - Anne B Newman
- Department of Epidemiology, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Robert M Boudreau
- Department of Epidemiology, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Michael A Province
- Department of Genetics, Washington University in St Louis, St Louis, Missouri
| | | | - Thomas T Perls
- Medical Center, Boston University, Boston, Massachusetts
| | - Ping An
- Department of Genetics, Washington University School of Medicine in St Louis, St Louis, Missouri
| | - Irma Elo
- Department of Sociology, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Svetlana V Ukraintseva
- Biodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, North Carolina
| |
Collapse
|