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How Well Does the Family Longevity Selection Score Work: A Validation Test Using the Utah Population Database.

Liubov S Arbeeva1, Heidi A Hanson2,3, Konstantin G Arbeev4

  • 1Thurston Arthritis Research Center, University of North Carolina, Chapel Hill, NC, United States.

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|October 18, 2018
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Summary

The Family Longevity Selection Score (FLoSS) was validated in the Utah Population Database, confirming its effectiveness in identifying families with exceptional longevity for genetic studies.

Keywords:
Long Life Family StudyUtah population databaseexceptional survivalfamilial longevityfamily longevity selection score

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Area of Science:

  • Genetics and Aging Research
  • Population Health Studies

Background:

  • The Family Longevity Selection Score (FLoSS) is a tool used to identify families with exceptional longevity.
  • FLoSS has not been previously validated in independent datasets.

Purpose of the Study:

  • To validate the Family Longevity Selection Score (FLoSS) using an independent dataset.
  • To assess the utility of FLoSS for selecting families in longevity research.

Main Methods:

  • Calculated FLoSS using lifespan data from 234,155 individuals in the Utah Population Database (UPDB).
  • Analyzed individuals born between 1779 and 1910 with mortality follow-up through 2012-2013.
  • Compared survival curves of 'exceptional' sibships (FLoSS ≥ 7) with others.

Main Results:

  • FLoSS calculations in 1980 confirmed a survival advantage for 'exceptional' sibships.
  • UPDB participants born after 1900 from 'exceptional' sibships showed survival curves similar to Long Life Family Study (LLFS) participants.
  • Offspring from parents with 'exceptional' survival demonstrated a survival advantage.

Conclusions:

  • The FLoSS is a validated selection criterion for identifying exceptionally long-lived families.
  • This validation supports the use of FLoSS in future family longevity studies.
  • The Utah Population Database is a valuable resource for validating longevity selection criteria.