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Limitations and risks of meta-analyses of longevity studies
- Source :
- Sebastiani, P, Bae, H, Gurinovich, A, Soerensen, M, Puca, A A & Perls, T 2017, ' Limitations and risks of meta-analyses of longevity studies ', Mechanisms of Ageing and Development, vol. 165, no. Part B, pp. 139-146 . https://doi.org/10.1016/j.mad.2017.01.008
- Publication Year :
- 2017
-
Abstract
- Searching for genetic determinants of human longevity has been challenged by the rarity of data sets with large numbers of individuals who have reached extreme old age, inconsistent definitions of the phenotype, and the difficulty of defining appropriate controls. Meta-analysis - a statistical method to summarize results from different studies - has become a common tool in genetic epidemiology to accrue large sample sizes for powerful genetic association studies. In conducting a meta-analysis of studies of human longevity however, particular attention must be made to the definition of cases and controls (including their health status) and on the effect of possible confounders such as sex and ethnicity upon the genetic effect to be estimated. We will show examples of how a meta-analysis can inflate the false negative rates of genetic association studies or it can bias estimates of the association between a genetic variant and extreme longevity. Searching for genetic determinants of human longevity has been challenged by the rarity of data sets with large numbers of individuals who have reached extreme old age, inconsistent definitions of the phenotype, and the difficulty of defining appropriate controls. Meta-analysis - a statistical method to summarize results from different studies - has become a common tool in genetic epidemiology to accrue large sample sizes for powerful genetic association studies. In conducting a meta-analysis of studies of human longevity however, particular attention must be made to the definition of cases and controls (including their health status) and on the effect of possible confounders such as sex and ethnicity upon the genetic effect to be estimated. We will show examples of how a meta-analysis can inflate the false negative rates of genetic association studies or it can bias estimates of the association between a genetic variant and extreme longevity.
- Subjects :
- 0301 basic medicine
Male
Aging
media_common.quotation_subject
Longevity
Ethnic Groups/genetics
Biology
Article
03 medical and health sciences
Sex Factors
Ethnicity
Humans
Association (psychology)
Genetic association
media_common
Aged, 80 and over
Odds-ratios
Confounding
Genetic Variation
Longevity/genetics
Odds ratio
Human longevity
Meta-analysis
Developmental Biology
030104 developmental biology
Genetic epidemiology
Female
Demography
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Journal :
- Sebastiani, P, Bae, H, Gurinovich, A, Soerensen, M, Puca, A A & Perls, T 2017, ' Limitations and risks of meta-analyses of longevity studies ', Mechanisms of Ageing and Development, vol. 165, no. Part B, pp. 139-146 . https://doi.org/10.1016/j.mad.2017.01.008
- Accession number :
- edsair.doi.dedup.....796b4c5d89019e0d0dbcaeb9833468d6