Longevity Relatives Count score identifies heritable longevity carriers and suggests case improvement in genetic studies
Aging Cell, vol. 19, pp. e13139
Abstract
Loci associated with longevity are likely to harbor genes coding for key players of molecular pathways involved in a lifelong decreased mortality and decreased/compressed morbidity. However, identifying such loci is challenging. One of the most plausible reasons is the uncertainty in defining long-lived cases with the heritable longevity trait among long-living phenocopies. To avoid phenocopies, family selection scores have been constructed, but these have not yet been adopted as state of the art in longevity research. Here, we aim to identify individuals with the heritable longevity trait by using current insights and a novel family score based on these insights. We use a unique dataset connecting living study participants to their deceased ancestors covering 37,825 persons from 1,326 five-generational families, living between 1788 and 2019. Our main finding suggests that longevity is transmitted for at least two subsequent generations only when at least 20% of all relatives are long-lived. This proves the importance of family data to avoid phenocopies in genetic studies.
Authors 6
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Niels van den Berg corresponding Aachen Section of Molecular Epidemiology Department of Biomedical Data Sciences Leiden University Medical Center Leiden The Netherlands Section of Molecular Epidemiology Department of Biomedical Data Sciences
Radboud University Nijmegen · Leiden University Medical Center
Affiliation as printed
Radboud Group for Historical Demography and Family History Radboud University Nijmegen The Netherlands
Section of Molecular Epidemiology Department of Biomedical Data Sciences Leiden University Medical Center Leiden The Netherlands
Radboud Group for Historical Demography and Family History, Radboud University, Nijmegen, The Netherlands
Section of Molecular Epidemiology, Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands
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Mar Rodríguez‐Girondo Aachen Section of Medical Statistics Department of Biomedical Data Sciences Leiden University Medical Center Leiden The Netherlands section of Medical Statistics Department of Biomedical Data Sciences
Leiden University Medical Center
Affiliation as printed
Section of Medical Statistics Department of Biomedical Data Sciences Leiden University Medical Center Leiden The Netherlands
Section of Medical Statistics, Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands
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International Institute of Social History
Affiliation as printed
International Institute of Social History Amsterdam The Netherlands
International Institute of Social History, Amsterdam, The Netherlands
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Affiliation as printed
Radboud Group for Historical Demography and Family History Radboud University Nijmegen The Netherlands
Radboud Group for Historical Demography and Family History, Radboud University, Nijmegen, The Netherlands
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Marian Beekman Aachen Section of Molecular Epidemiology Department of Biomedical Data Sciences Leiden University Medical Center Leiden The Netherlands Section of Molecular Epidemiology Department of Biomedical Data Sciences
Leiden University Medical Center
Affiliation as printed
Section of Molecular Epidemiology Department of Biomedical Data Sciences Leiden University Medical Center Leiden The Netherlands
Section of Molecular Epidemiology, Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands
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P. Eline Slagboom Aachen Section of Molecular Epidemiology Department of Biomedical Data Sciences Leiden University Medical Center Leiden The Netherlands Section of Molecular Epidemiology Department of Biomedical Data Sciences
Leiden University Medical Center · Max Planck Institute for Biology of Ageing
Affiliation as printed
Max Planck Institute for Biology of Ageing Cologne Germany
Section of Molecular Epidemiology Department of Biomedical Data Sciences Leiden University Medical Center Leiden The Netherlands
Max Planck Institute for Biology of Ageing, Cologne, Germany
Section of Molecular Epidemiology, Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands
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