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Tesi N, Hulsman M, van der Lee SJ, Jansen IE, Stringa N, van Schoor NM, Scheltens P, van der Flier WM, Huisman M, Reinders MJT, Holstege H. The Effect of Alzheimer's Disease-Associated Genetic Variants on Longevity. Front Genet 2022; 12:748781. [PMID: 34992629 PMCID: PMC8724252 DOI: 10.3389/fgene.2021.748781] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2021] [Accepted: 11/24/2021] [Indexed: 12/22/2022] Open
Abstract
Human longevity is influenced by the genetic risk of age-related diseases. As Alzheimer’s disease (AD) represents a common condition at old age, an interplay between genetic factors affecting AD and longevity is expected. We explored this interplay by studying the prevalence of AD-associated single-nucleotide-polymorphisms (SNPs) in cognitively healthy centenarians, and replicated findings in a parental-longevity GWAS. We found that 28/38 SNPs that increased AD-risk also associated with lower odds of longevity. For each SNP, we express the imbalance between AD- and longevity-risk as an effect-size distribution. Based on these distributions, we grouped the SNPs in three groups: 17 SNPs increased AD-risk more than they decreased longevity-risk, and were enriched for β-amyloid metabolism and immune signaling; 11 variants reported a larger longevity-effect compared to their AD-effect, were enriched for endocytosis/immune-signaling, and were previously associated with other age-related diseases. Unexpectedly, 10 variants associated with an increased risk of AD and higher odds of longevity. Altogether, we show that different AD-associated SNPs have different effects on longevity, including SNPs that may confer general neuro-protective functions against AD and other age-related diseases.
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Affiliation(s)
- Niccolò Tesi
- Section Genomics of Neurodegenerative Diseases and Aging, Department of Clinical Genetics, Vrije Universiteit Amsterdam, Amsterdam, Netherlands.,Alzheimer Centre, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam, Netherlands.,Delft Bioinformatics Lab, Delft University of Technology, Delft, Netherlands
| | - Marc Hulsman
- Section Genomics of Neurodegenerative Diseases and Aging, Department of Clinical Genetics, Vrije Universiteit Amsterdam, Amsterdam, Netherlands.,Alzheimer Centre, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam, Netherlands.,Delft Bioinformatics Lab, Delft University of Technology, Delft, Netherlands
| | - Sven J van der Lee
- Section Genomics of Neurodegenerative Diseases and Aging, Department of Clinical Genetics, Vrije Universiteit Amsterdam, Amsterdam, Netherlands.,Alzheimer Centre, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Iris E Jansen
- Section Genomics of Neurodegenerative Diseases and Aging, Department of Clinical Genetics, Vrije Universiteit Amsterdam, Amsterdam, Netherlands.,Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, VU, Amsterdam, Netherlands
| | - Najada Stringa
- Department of Epidemiology and Data Sciences, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Natasja M van Schoor
- Department of Epidemiology and Data Sciences, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Philip Scheltens
- Section Genomics of Neurodegenerative Diseases and Aging, Department of Clinical Genetics, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Wiesje M van der Flier
- Section Genomics of Neurodegenerative Diseases and Aging, Department of Clinical Genetics, Vrije Universiteit Amsterdam, Amsterdam, Netherlands.,Department of Epidemiology and Data Sciences, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Martijn Huisman
- Department of Epidemiology and Data Sciences, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Marcel J T Reinders
- Delft Bioinformatics Lab, Delft University of Technology, Delft, Netherlands
| | - Henne Holstege
- Section Genomics of Neurodegenerative Diseases and Aging, Department of Clinical Genetics, Vrije Universiteit Amsterdam, Amsterdam, Netherlands.,Alzheimer Centre, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam, Netherlands.,Delft Bioinformatics Lab, Delft University of Technology, Delft, Netherlands
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Fang Q, Liu Z, Zhang T. Human leukocyte antigen polymorphisms and Kaposi's sarcoma-associated herpesvirus infection outcomes: A call for deeper exploration. J Med Virol 2018; 91:541-548. [PMID: 30345532 DOI: 10.1002/jmv.25342] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2018] [Accepted: 10/08/2018] [Indexed: 12/13/2022]
Abstract
Host genetic background may influence the immunity to resist viral infection. As the most polymorphic loci in the entire human genome, the human leukocyte antigen (HLA) system plays an important role in innate and adaptive immune responses to many invading pathogens. Studies have shown that an association might exist between HLA polymorphisms and susceptibility to Kaposi's sarcoma-associated herpesvirus (KSHV) infection and associated diseases. However, discrepant conclusions were reached among different subjects with different detection methods. Therefore, it is now urgent to summarize current results and figure out the achievements and deficiencies of the existing research for the reference to future studies. A better understanding about the role of HLA polymorphisms in KSHV infection outcome would enable us to elucidate the pathways through which the virus evades the host defense system and improve strategies for the prevention and treatment of KSHV infection.
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Affiliation(s)
- Qiwen Fang
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai, China.,Key Laboratory of Public Health Safety (Fudan University), Ministry of Education, China
| | - Zhenqiu Liu
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai, China.,Key Laboratory of Public Health Safety (Fudan University), Ministry of Education, China
| | - Tiejun Zhang
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai, China.,Key Laboratory of Public Health Safety (Fudan University), Ministry of Education, China.,Collaborative Innovation Center of Social Risks Governance in Health, Fudan University, Shanghai, China
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