Historical demography and longevity genetics: Back to the future
•Heritability and segregation of lifespan and longevity.•Systematic overview of demographic twin and pedigree studies.•Historical data is expected to be a useful resource in identifying human longevity loci.•The terminology lifespan and longevity are conceptually different and should not be confused...
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| Published in | Ageing research reviews Vol. 38; pp. 28 - 39 |
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| Main Authors | , , , , |
| Format | Journal Article |
| Language | English |
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England
Elsevier B.V
01.09.2017
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| Abstract | •Heritability and segregation of lifespan and longevity.•Systematic overview of demographic twin and pedigree studies.•Historical data is expected to be a useful resource in identifying human longevity loci.•The terminology lifespan and longevity are conceptually different and should not be confused.
Research into the genetic component of human longevity can provide important insights in mechanisms that may protect against age-related diseases and multi-morbidity. Thus far only a limited number of robust longevity loci have been detected in either candidate or genome wide association studies. One of the issues in these genetic studies is the definition of the trait being either lifespan, including any age at death or longevity, i.e. survival above a diverse series of thresholds. Likewise heritability and segregation research have conflated lifespan with longevity. The heritability of lifespan estimated across most studies has been rather low. Environmental factors have not been sufficiently investigated and the total amount of genetic variance contributing to longevity has not been estimated in sufficiently well-defined and powered studies. Up to now, genetic longevity studies lack the required insights into the nature and size of the genetic component and the optimal strategies for meta-analysis and subject selection for Next Generation Sequencing efforts. Historical demographic data containing deep genealogical information may help in estimating the best definition and heritability for longevity, its transmission patterns in multi-generational datasets and may allow relevant additive and modifying environmental factors such as socio-economic status, geographical background, exposure to environmental effects, birth order, and number of children to be included. In this light historical demographic data may be very useful for identifying lineages in human populations that are worth investigating further by geneticists. |
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| AbstractList | •Heritability and segregation of lifespan and longevity.•Systematic overview of demographic twin and pedigree studies.•Historical data is expected to be a useful resource in identifying human longevity loci.•The terminology lifespan and longevity are conceptually different and should not be confused.
Research into the genetic component of human longevity can provide important insights in mechanisms that may protect against age-related diseases and multi-morbidity. Thus far only a limited number of robust longevity loci have been detected in either candidate or genome wide association studies. One of the issues in these genetic studies is the definition of the trait being either lifespan, including any age at death or longevity, i.e. survival above a diverse series of thresholds. Likewise heritability and segregation research have conflated lifespan with longevity. The heritability of lifespan estimated across most studies has been rather low. Environmental factors have not been sufficiently investigated and the total amount of genetic variance contributing to longevity has not been estimated in sufficiently well-defined and powered studies. Up to now, genetic longevity studies lack the required insights into the nature and size of the genetic component and the optimal strategies for meta-analysis and subject selection for Next Generation Sequencing efforts. Historical demographic data containing deep genealogical information may help in estimating the best definition and heritability for longevity, its transmission patterns in multi-generational datasets and may allow relevant additive and modifying environmental factors such as socio-economic status, geographical background, exposure to environmental effects, birth order, and number of children to be included. In this light historical demographic data may be very useful for identifying lineages in human populations that are worth investigating further by geneticists. Research into the genetic component of human longevity can provide important insights in mechanisms that may protect against age-related diseases and multi-morbidity. Thus far only a limited number of robust longevity loci have been detected in either candidate or genome wide association studies. One of the issues in these genetic studies is the definition of the trait being either lifespan, including any age at death or longevity, i.e. survival above a diverse series of thresholds. Likewise heritability and segregation research have conflated lifespan with longevity. The heritability of lifespan estimated across most studies has been rather low. Environmental factors have not been sufficiently investigated and the total amount of genetic variance contributing to longevity has not been estimated in sufficiently well-defined and powered studies. Up to now, genetic longevity studies lack the required insights into the nature and size of the genetic component and the optimal strategies for meta-analysis and subject selection for Next Generation Sequencing efforts. Historical demographic data containing deep genealogical information may help in estimating the best definition and heritability for longevity, its transmission patterns in multi-generational datasets and may allow relevant additive and modifying environmental factors such as socio-economic status, geographical background, exposure to environmental effects, birth order, and number of children to be included. In this light historical demographic data may be very useful for identifying lineages in human populations that are worth investigating further by geneticists.Research into the genetic component of human longevity can provide important insights in mechanisms that may protect against age-related diseases and multi-morbidity. Thus far only a limited number of robust longevity loci have been detected in either candidate or genome wide association studies. One of the issues in these genetic studies is the definition of the trait being either lifespan, including any age at death or longevity, i.e. survival above a diverse series of thresholds. Likewise heritability and segregation research have conflated lifespan with longevity. The heritability of lifespan estimated across most studies has been rather low. Environmental factors have not been sufficiently investigated and the total amount of genetic variance contributing to longevity has not been estimated in sufficiently well-defined and powered studies. Up to now, genetic longevity studies lack the required insights into the nature and size of the genetic component and the optimal strategies for meta-analysis and subject selection for Next Generation Sequencing efforts. Historical demographic data containing deep genealogical information may help in estimating the best definition and heritability for longevity, its transmission patterns in multi-generational datasets and may allow relevant additive and modifying environmental factors such as socio-economic status, geographical background, exposure to environmental effects, birth order, and number of children to be included. In this light historical demographic data may be very useful for identifying lineages in human populations that are worth investigating further by geneticists. Research into the genetic component of human longevity can provide important insights in mechanisms that may protect against age-related diseases and multi-morbidity. Thus far only a limited number of robust longevity loci have been detected in either candidate or genome wide association studies. One of the issues in these genetic studies is the definition of the trait being either lifespan, including any age at death or longevity, i.e. survival above a diverse series of thresholds. Likewise heritability and segregation research have conflated lifespan with longevity. The heritability of lifespan estimated across most studies has been rather low. Environmental factors have not been sufficiently investigated and the total amount of genetic variance contributing to longevity has not been estimated in sufficiently well-defined and powered studies. Up to now, genetic longevity studies lack the required insights into the nature and size of the genetic component and the optimal strategies for meta-analysis and subject selection for Next Generation Sequencing efforts. Historical demographic data containing deep genealogical information may help in estimating the best definition and heritability for longevity, its transmission patterns in multi-generational datasets and may allow relevant additive and modifying environmental factors such as socio-economic status, geographical background, exposure to environmental effects, birth order, and number of children to be included. In this light historical demographic data may be very useful for identifying lineages in human populations that are worth investigating further by geneticists. |
| Author | Janssens, Angelique van den Berg, Niels Beekman, Marian Slagboom, Pieternella Eline Smith, Ken Robert |
| Author_xml | – sequence: 1 givenname: Niels surname: van den Berg fullname: van den Berg, Niels email: n.m.a.van_den_berg@lumc.nl organization: Department of Molecular Epidemiology, Leiden University, Albinusdreef 2, 2333 ZA Leiden, The Netherlands – sequence: 2 givenname: Marian surname: Beekman fullname: Beekman, Marian email: m.beekman@lumc.nl organization: Department of Molecular Epidemiology, Leiden University, Albinusdreef 2, 2333 ZA Leiden, The Netherlands – sequence: 3 givenname: Ken Robert surname: Smith fullname: Smith, Ken Robert email: ken.smith@fcs.utah.edu, ken.smith@hci.utah.edu organization: Department of Family and Consumer Studies, Population Sciences, Huntsman Cancer Institute, University of Utah, 225 S. 1400 E. Rm 228, Salt Lake City, United States – sequence: 4 givenname: Angelique surname: Janssens fullname: Janssens, Angelique email: a.janssens@let.ru.nl organization: Department of Economic, Social, and Demographic History, Radboud University, Erasmusplein 1, 6525 HT Nijmegen, The Netherlands – sequence: 5 givenname: Pieternella Eline surname: Slagboom fullname: Slagboom, Pieternella Eline email: p.slagboom@lumc.nl organization: Department of Molecular Epidemiology, Leiden University, Albinusdreef 2, 2333 ZA Leiden, The Netherlands |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/28689042$$D View this record in MEDLINE/PubMed |
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| Keywords | Genetics Demography Longevity Review Historical data Inheritance |
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| SubjectTerms | Demography Gene-Environment Interaction Genetic Variation Genetics Genome-Wide Association Study Historical data Humans Inheritance Inheritance Patterns Life Expectancy Longevity Longevity - genetics Phenotype Review |
| Title | Historical demography and longevity genetics: Back to the future |
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