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Bio-Actuarial Studies  of Human Longevity   Leonid A. Gavrilov Natalia S. Gavrilova Center on Aging, NORC/University of Chicago,  1155 East 60th Street, Chicago, IL 60637
Three scientific problems: ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
“ The Heritability of Life-Spans Is Small” C.E. Finch, R.E. Tanzi,  Science , 1997, p.407 “…  long life runs in families” A. Cournil, T.B.L. Kirkwood,  Trends in Genetics , 2001, p.233 Paradox of low heritability of lifespan vs high familial clustering of longevity
Heritability Estimates of Human Lifespan Author(s) Heritability estimate Population McGue et al., 1993 0.22 Danish twins Ljungquist et al., 1998 <0.33 Swedish twins Bocquet-Appel, Jacobi, 1990 0.10-0.30 French village Mayer, 1991  0.10-0.33 New England families Gavrilova et al., 1998 0.18 European aristocracy Cournil et al., 2000 0.27 French village Mitchell et al., 2001 0.25 Old Order Amish
Early Study on Familial Longevity ,[object Object],[object Object]
Characteristics of our Dataset ,[object Object],[object Object],[object Object],[object Object]
Unusual Non-linear Pattern of Lifespan Inheritance It is theoretically predicted (by quantitative genetics) and experimentally confirmed that the dependence of most offspring quantitative traits (body weight for example) on parental traits is  linear. However, if some parents are damaged during early development and therefore have shorter lifespan (despite having normal germ cell DNA), the dependence for lifespan inheritance should become  non-linear.  This is because the offspring born to these short-lived parents with normal germ cell DNA should have normal rather than shorter lifespan
Daughter's Lifespan (Mean Deviation from Cohort Life Expectancy) as a Function of Paternal Lifespan ,[object Object],[object Object],[object Object]
Offspring  Lifespan at Age 30  as  a  Function  of  Paternal  Lifespan Data are adjusted for other predictor variables Daughters, 8,284 cases Sons, 8,322 cases
Offspring  Lifespan at Age 60  as  a  Function  of  Paternal  Lifespan Data are adjusted for other predictor variables Daughters, 6,517 cases Sons, 5,419 cases
Offspring  Lifespan at Age 30  as  a  Function  of  Maternal  Lifespan Data are adjusted for other predictor variables Daughters, 8,284 cases Sons, 8,322 cases
Offspring  Lifespan at Age 60  as  a  Function  of  Maternal  Lifespan Data are adjusted for other predictor variables Daughters, 6,517 cases Sons, 5,419 cases
Person’s Lifespan as  a  Function  of  Spouse  Lifespan Data are adjusted for other predictor variables Married Women, 4,530 cases Married Men, 5,102 cases
Person’s Lifespan as  a  Function  of  Sisters  Lifespan Data are adjusted for other predictor variables Females, 5,421 cases Males, 7,378 cases
Person’s Lifespan as  a  Function  of  Sisters-In-Law  Lifespan Data are adjusted for other predictor variables Females, 4,789 cases Males, 4,707 cases
Mortality Kinetics   Long-Lived  Mutants of  Mouse and  Drosophila Mouse Snell dwarf mutant. Flurkey et al., PNAS, 2001.  Drosophila  mutant methuselah. Lin et al., Science, 1998.
Mortality Kinetics for Progeny Born to  Long-Lived  (80+) vs  Short-Lived  Parents   Data are adjusted for historical changes in lifespan Sons Daughters
Parental-Age Effects   (accumulation of mutation load in parental germ cells) Does progeny conceived to older parents live shorter lives?
Daughters' Lifespan (30+) as a   Function of  Paternal Age at Daughter's Birth 6,032 daughters from European aristocratic families born in 1800-1880 ,[object Object],[object Object],[object Object]
Paternal Age as a Risk Factor for Alzheimer Disease ,[object Object],[object Object]
Paternal Age and Risk of Schizophrenia   ,[object Object],[object Object]
Statement of the HIDL hypothesis: (Idea of High Initial Damage Load ) &quot;Adult organisms already have an exceptionally high load of initial damage,  which is comparable with the amount of subsequent aging-related deterioration, accumulated during the rest of the entire adult life .&quot; Source:  Gavrilov, L.A. & Gavrilova, N.S. 1991. The Biology of Life Span:  A Quantitative Approach. Harwood Academic Publisher, New York.
Why should we expect high initial damage load ? ,[object Object],[object Object],[object Object],[object Object],[object Object]
Birth Process is a Potential Source of High Initial Damage ,[object Object]
Spontaneous mutant frequencies with age in heart and small intestine Source: Presentation of Jan Vijg at the IABG Congress, Cambridge, 2003
Practical implications from  the HIDL hypothesis: &quot;Even a small progress in optimizing the early-developmental processes can potentially result in a remarkable prevention of many diseases in later life, postponement of aging-related morbidity and mortality, and significant extension of healthy lifespan.&quot; &quot;Thus, the idea of early-life programming of aging and longevity may have important practical implications for developing early-life interventions promoting health and longevity.&quot; Source:  Gavrilov, L.A. & Gavrilova, N.S. 1991. The Biology of Life Span:  A Quantitative Approach. Harwood Academic Publisher, New York.
Season of Birth and Female Lifespan 8,284 females from European aristocratic families  born in 1800-1880 Seasonal Differences in Adult Lifespan at Age 30 ,[object Object],[object Object]
Is There Any Link Between Longevity and Fertility? What are the data and the predictions of the evolutionary theory on this issue?
Brief Historical Note ,[object Object],[object Object]
Findings and Conclusions  by Beeton et al., 1900 ,[object Object],[object Object],[object Object]
Other Studies, Which Found Positive Correlation Between Reproduction and Postreproductive Longevity ,[object Object],[object Object],[object Object]
Studies that Found no Relationship Between Postreproductive Longevity and Reproduction ,[object Object],[object Object],[object Object],[object Object]
Study that Found a Trade-Off Between Reproductive Success and Postreproductive Longevity ,[object Object],[object Object]
Number of progeny and age at first childbirth dependent on the age at death of married aristocratic women ,[object Object]
Do longevous women have impaired fertility ? Why is this question so important and interesting : ,[object Object],[object Object],[object Object],[object Object],[object Object]
Point estimates of progeny number for married aristocratic women from different birth cohorts as a function of age at death.   The estimates of progeny number are adjusted for trends over calendar time using multiple regression . ,[object Object]
General Methodological Principle: ,[object Object],[object Object],[object Object]
Test for Data Completeness ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Antoinette de Bourbon (1493-1583) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Characteristics of Our Data Sample for ‘Reproduction-Longevity’ Studies ,[object Object],[object Object],[object Object]
 
 
Questions of Scientific and Practical (Actuarial) Significance ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
The Gompertz-Makeham Law μ(x) = A + R 0 exp(α x) A  – Makeham term or background mortality R 0 exp(α x)  – age-dependent mortality
Historical Changes in Mortality for 40-year-old Swedish Males ,[object Object],[object Object],[object Object],[object Object]
Historical Changes in Mortality for  40-year-old Women in Norway and Denmark ,[object Object],[object Object],[object Object],[object Object],[object Object]
Historical Changes in Mortality for 40-year-old Italian Women and Men ,[object Object],[object Object],[object Object],[object Object],[object Object]
Historical Changes in Mortality Swedish Females
Historical Changes in Survival from Age 90 to 100 years. France
Historical Changes in Survival from Age 90 to 100 years. Japan
Extension of the Gompertz-Makeham Model through the  Factor Analysis of Mortality Trends Mortality force (age, time) =  = a 0 (age)  + a 1 (age) x F 1 (time) + a 2 (age) x F 2 (time)
Factor Analysis of Mortality Swedish Females
Preliminary Conclusions ,[object Object],[object Object],[object Object]
Acknowledgments ,[object Object],[object Object],[object Object]
For More Information and Updates Please Visit Our  Scientific and Educational Website  on Human Longevity: ,[object Object]

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Gavrilov chicago

  • 1. Bio-Actuarial Studies of Human Longevity Leonid A. Gavrilov Natalia S. Gavrilova Center on Aging, NORC/University of Chicago, 1155 East 60th Street, Chicago, IL 60637
  • 2.
  • 3. “ The Heritability of Life-Spans Is Small” C.E. Finch, R.E. Tanzi, Science , 1997, p.407 “… long life runs in families” A. Cournil, T.B.L. Kirkwood, Trends in Genetics , 2001, p.233 Paradox of low heritability of lifespan vs high familial clustering of longevity
  • 4. Heritability Estimates of Human Lifespan Author(s) Heritability estimate Population McGue et al., 1993 0.22 Danish twins Ljungquist et al., 1998 <0.33 Swedish twins Bocquet-Appel, Jacobi, 1990 0.10-0.30 French village Mayer, 1991 0.10-0.33 New England families Gavrilova et al., 1998 0.18 European aristocracy Cournil et al., 2000 0.27 French village Mitchell et al., 2001 0.25 Old Order Amish
  • 5.
  • 6.
  • 7. Unusual Non-linear Pattern of Lifespan Inheritance It is theoretically predicted (by quantitative genetics) and experimentally confirmed that the dependence of most offspring quantitative traits (body weight for example) on parental traits is linear. However, if some parents are damaged during early development and therefore have shorter lifespan (despite having normal germ cell DNA), the dependence for lifespan inheritance should become non-linear. This is because the offspring born to these short-lived parents with normal germ cell DNA should have normal rather than shorter lifespan
  • 8.
  • 9. Offspring Lifespan at Age 30 as a Function of Paternal Lifespan Data are adjusted for other predictor variables Daughters, 8,284 cases Sons, 8,322 cases
  • 10. Offspring Lifespan at Age 60 as a Function of Paternal Lifespan Data are adjusted for other predictor variables Daughters, 6,517 cases Sons, 5,419 cases
  • 11. Offspring Lifespan at Age 30 as a Function of Maternal Lifespan Data are adjusted for other predictor variables Daughters, 8,284 cases Sons, 8,322 cases
  • 12. Offspring Lifespan at Age 60 as a Function of Maternal Lifespan Data are adjusted for other predictor variables Daughters, 6,517 cases Sons, 5,419 cases
  • 13. Person’s Lifespan as a Function of Spouse Lifespan Data are adjusted for other predictor variables Married Women, 4,530 cases Married Men, 5,102 cases
  • 14. Person’s Lifespan as a Function of Sisters Lifespan Data are adjusted for other predictor variables Females, 5,421 cases Males, 7,378 cases
  • 15. Person’s Lifespan as a Function of Sisters-In-Law Lifespan Data are adjusted for other predictor variables Females, 4,789 cases Males, 4,707 cases
  • 16. Mortality Kinetics Long-Lived Mutants of Mouse and Drosophila Mouse Snell dwarf mutant. Flurkey et al., PNAS, 2001. Drosophila mutant methuselah. Lin et al., Science, 1998.
  • 17. Mortality Kinetics for Progeny Born to Long-Lived (80+) vs Short-Lived Parents Data are adjusted for historical changes in lifespan Sons Daughters
  • 18. Parental-Age Effects (accumulation of mutation load in parental germ cells) Does progeny conceived to older parents live shorter lives?
  • 19.
  • 20.
  • 21.
  • 22. Statement of the HIDL hypothesis: (Idea of High Initial Damage Load ) &quot;Adult organisms already have an exceptionally high load of initial damage, which is comparable with the amount of subsequent aging-related deterioration, accumulated during the rest of the entire adult life .&quot; Source: Gavrilov, L.A. & Gavrilova, N.S. 1991. The Biology of Life Span: A Quantitative Approach. Harwood Academic Publisher, New York.
  • 23.
  • 24.
  • 25. Spontaneous mutant frequencies with age in heart and small intestine Source: Presentation of Jan Vijg at the IABG Congress, Cambridge, 2003
  • 26. Practical implications from the HIDL hypothesis: &quot;Even a small progress in optimizing the early-developmental processes can potentially result in a remarkable prevention of many diseases in later life, postponement of aging-related morbidity and mortality, and significant extension of healthy lifespan.&quot; &quot;Thus, the idea of early-life programming of aging and longevity may have important practical implications for developing early-life interventions promoting health and longevity.&quot; Source: Gavrilov, L.A. & Gavrilova, N.S. 1991. The Biology of Life Span: A Quantitative Approach. Harwood Academic Publisher, New York.
  • 27.
  • 28. Is There Any Link Between Longevity and Fertility? What are the data and the predictions of the evolutionary theory on this issue?
  • 29.
  • 30.
  • 31.
  • 32.
  • 33.
  • 34.
  • 35.
  • 36.
  • 37.
  • 38.
  • 39.
  • 40.
  • 41.  
  • 42.  
  • 43.
  • 44. The Gompertz-Makeham Law μ(x) = A + R 0 exp(α x) A – Makeham term or background mortality R 0 exp(α x) – age-dependent mortality
  • 45.
  • 46.
  • 47.
  • 48. Historical Changes in Mortality Swedish Females
  • 49. Historical Changes in Survival from Age 90 to 100 years. France
  • 50. Historical Changes in Survival from Age 90 to 100 years. Japan
  • 51. Extension of the Gompertz-Makeham Model through the Factor Analysis of Mortality Trends Mortality force (age, time) = = a 0 (age) + a 1 (age) x F 1 (time) + a 2 (age) x F 2 (time)
  • 52. Factor Analysis of Mortality Swedish Females
  • 53.
  • 54.
  • 55.