Biodemography of Human Longevity Dr. Natalia S. Gavrilova, Ph.D. Center on Aging, NORC and the University of Chicago, Chicago, Illinois, USA.

Slides:



Advertisements
Similar presentations
Familial Factors in Longevity: Exploring Complex Environmental and Genetic Effects Leonid A. Gavrilov, Ph.D. Natalia S. Gavrilova, Ph.D. Center on Aging.
Advertisements

Childhood Exposure to Infections and Exceptional Longevity Leonid A. Gavrilov Natalia S. Gavrilova Center on Aging NORC and The University of Chicago Chicago,
Is There a Trade-Off Between the Costs of Reproduction and Longevity? Natalia S. Gavrilova Leonid A. Gavrilov Center on Aging, NORC/University of Chicago,
NORC and The University of Chicago
The Quest for the General Theory of Aging and Longevity Leonid A. Gavrilov Natalia S. Gavrilova Center on Aging, NORC/University of Chicago, 1155 East.
Search for Predictors of Exceptional Human Longevity: Using Computerized Genealogies and Internet Resources for Human Longevity Studies Natalia S. Gavrilova,
EVOLUTION. EVOLUTION The first living organisms were simple, single celled organisms. Through time more complex simple- celled creatures were created.
BIOE 109 Summer 2009 Lecture 10-Part II Life history evolution.
Genetics of Human Longevity: New Ideas and Findings Dr. Natalia S. Gavrilova, Ph.D. Center on Aging, NORC and the University of Chicago, Chicago, Illinois,
Early-Life Programming of Human Longevity Empirical Evidence Natalia S. Gavrilova, Leonid A. Gavrilov Victoria Semyonova, Galina Evdokushkina Center on.
New approaches to study historical evolution of mortality (with implications for forecasting) Dr. Natalia S. Gavrilova, Ph.D. Dr. Leonid A. Gavrilov, Ph.D.
Testing Evolutionary Theories of Aging and Longevity
University of Wisconsin-Madison, CDHA seminar Biodemography of Human Longevity: New Findings and Ideas Dr. Leonid A. Gavrilov, Ph.D. Dr. Natalia S. Gavrilova,
Bio-Actuarial Studies of Human Longevity Leonid A. Gavrilov Natalia S. Gavrilova Center on Aging, NORC/University of Chicago, 1155 East 60th Street, Chicago,
New Findings on Human Longevity Predictors Dr. Natalia S. Gavrilova, Ph.D. Dr. Leonid A. Gavrilov, Ph.D. Center on Aging NORC and The University of Chicago.
Leonid A. Gavrilov Natalia S. Gavrilova
Gender Differences in Longevity Predictors: Effects of Early-Life and Midlife Conditions on Exceptional Longevity Leonid A. Gavrilov Natalia S. Gavrilova.
New approaches to study historical evolution of mortality (with implications for forecasting) Leonid A. Gavrilov, Ph.D. Natalia S. Gavrilova, Ph.D. Center.
RWJ Scholars in Health Policy Research Program Seminar Biodemography of Human Longevity: New Findings and Ideas Dr. Leonid A. Gavrilov, Ph.D. Dr. Natalia.
Maternal Age, Fertility, and Longevity Leonid A. Gavrilov Natalia S. Gavrilova Center on Aging NORC and The University of Chicago Chicago, USA.
Factors of Exceptional Longevity Dr. Natalia S. Gavrilova, Ph.D. Dr. Leonid A. Gavrilov, Ph.D. Center on Aging NORC and The University of Chicago Chicago,
Human Longevity and a New Vision of Aging Natalia S. Gavrilova, Ph.D. Leonid A. Gavrilov, Ph.D. Center on Aging NORC and The University of Chicago Chicago,
Chapter 2: Biological Beginnings ©2011 The McGraw-Hill Companies, Inc. All rights reserved. Life-Span Development Thirteenth Edition.
Dichotomous Male Reproductive Strategies in a Polygynous Human Society: Mating versus Parental Effort Kevin Curry Yolanda Mejia Anavely Rodriguez.
Search for mechanisms of exceptional human longevity Dr. Natalia S. Gavrilova, Ph.D. Dr. Leonid A. Gavrilov, Ph.D. Center on Aging NORC and The University.
Problems of Mortality Measurement at Advanced Ages Dr. Leonid A. Gavrilov, Ph.D. Dr. Natalia S. Gavrilova, Ph.D. Center on Aging NORC and The University.
The Evolution of Life Span Why do we live as long as we do?
Being Born to Young Mother is Associated with Higher Chances of Living to 100 Leonid A. Gavrilov, Ph.D. Natalia S. Gavrilova, Ph.D. Center on Aging NORC.
2006 Annual Meeting of the Gerontological Society of America, Dallas, TX New Approach to Study Determinants of Exceptional Human Longevity Dr. Leonid A.
Early Motherhood in the UK: Micro and Macro Determinants Denise Hawkes and Heather Joshi Centre for Longitudinal Research Institute of Education University.
Biodemography of Mortality and Longevity
The National Institute on Aging Workshop on Uses of Survival Data in Research on Factors Affecting Aging Contributions from Dr. Leonid A. Gavrilov, Ph.D.
Mortality Measurement at Advanced Ages Dr. Leonid A. Gavrilov, Ph.D. Dr. Natalia S. Gavrilova, Ph.D. Center on Aging NORC and The University of Chicago.
Physical Markers at Young Age and Survival to 100: A Study of a New Historical Data Resource (The U.S. WWI Draft Cards) Dr. Natalia S. Gavrilova, Ph.D.
Biodemography of longevity: Effects of parental longevity, early-life and midlife conditions. Leonid A. Gavrilov Natalia S. Gavrilova Center on Aging NORC.
Thinking About Psychology: The Science of Mind and Behavior Charles T. Blair-Broeker Randal M. Ernst.
Natalia S. Gavrilova Leonid A. Gavrilov
Dependency Ratio The proportion of persons above 65 years and below 15 years of age are considered to be dependent on the economically productive age.
Natalia S. Gavrilova Leonid A. Gavrilov
Early Life Biodemographic Influences on Exceptional Longevity: Parental Age at Person's Birth and the Month of Birth Are Important Predictors Leonid A.
Contemporary methods of mortality analysis: Determinants of Exceptional Longevity Dr. Leonid A. Gavrilov, Ph.D. Dr. Natalia S. Gavrilova, Ph.D. Center.
The Evolution of Life Span Why do we live as long as we do?
Early-Life Predictors of Exceptional Longevity in the United States: Why Centenarians are Different From Their Shorter-Lived Siblings Leonid A. Gavrilov,
2006 Chicago Actuarial Association Workshop Predictors of Exceptional Human Longevity Dr. Leonid A. Gavrilov, Ph.D. Dr. Natalia S. Gavrilova, Ph.D. Center.
Predictors of Exceptional Longevity: Effects of early-life childhood conditions, mid-life environment and parental characteristics Leonid A. Gavrilov Natalia.
Mortality Measurement at Advanced Ages: A Study of the Social Administration Death Master File Dr. Leonid A. Gavrilov, Ph.D. Dr. Natalia S. Gavrilova,
Old-Age Mortality Measurement and Modeling Dr. Natalia S. Gavrilova, Ph.D. Dr. Leonid A. Gavrilov, Ph.D. Center on Aging NORC and The University of Chicago.
Season of birth and exceptional longevity Leonid A. Gavrilov, Ph.D. Natalia S. Gavrilova, Ph.D. Center on Aging NORC and The University of Chicago Chicago,
The Biology of Life Span: A Quantitative Approach Leonid A. Gavrilov, Ph.D. Natalia S. Gavrilova, Ph.D. Center on Aging NORC and The University of Chicago.
New Findings on Old-Age Mortality: Scientific and Societal Implications Leonid A. Gavrilov, Ph.D. Natalia S. Gavrilova, Ph.D. Center on Aging NORC and.
Introduction  Schizophrenia ↓ Neuro-developmental Disorder ↕ Pathogenesis in gestation and early childhood ↕ Further research is needed.
NORC and The University of Chicago
NORC and The University of Chicago
Maternal Age, Fertility, and Longevity
Mortality of Supercentenarians: Does It Grow with Age?
Leonid A. Gavrilov, Natalia S. Gavrilova, Vyacheslav N. Krut'ko*
Human Longevity and a New Vision of Aging
Chapter 2: Biological Beginnings
Mortality of Supercentenarians: Does It Grow with Age?
NORC and The University of Chicago
NORC and The University of Chicago
NORC and The University of Chicago
Mortality Patterns at Advanced Ages
Testing biomedical theories of aging with population data
NORC and The University of Chicago
Natalia S. Gavrilova, Ph.D.
Predictors of Exceptional Human Longevity
NORC at The University of Chicago
NORC at The University of Chicago
The Biological Approach
Presentation transcript:

Biodemography of Human Longevity Dr. Natalia S. Gavrilova, Ph.D. Center on Aging, NORC and the University of Chicago, Chicago, Illinois, USA

Three scientific problems: Mechanisms of familial transmission of human longevity Paradox of low heritability of lifespan vs high familial clustering of longevity Parental-age effects (accumulation of mutation load in parental germ cells) Does progeny conceived to older parents live shorter lives? Does exceptional human longevity come with high cost of infertility? Testing the evolutionary theories of aging

“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., Danish twins Ljungquist et al., 1998<0.33Swedish twins Bocquet-Appel, Jacobi, French village Mayer, New England families Gavrilova et al., European aristocracy Cournil et al., French village Mitchell et al., Old Order Amish

Early Study on Familial Longevity This study found that the relatives of nonagenarians and centenarians live longer than relatives of shorter- lived individuals These findings were confirmed in later studies (Gudmundsson et al., 2000; Perls et al., 2002 and others )

The Best Possible Source on Familial Longevity - Genealogies of European Royal and Noble Families Charles IX d’Anguleme ( ) Henry VIII Tudor ( ) Marie-Antoinette von Habsburg-Lothringen ( )

Characteristic of our Dataset Over 16,000 persons belonging to the European aristocracy extinct birth cohorts Adult persons aged 30+ Data extracted from the professional genealogical data sources including Genealogisches Handbook des Adels, Almanac de Gotha, Burke Peerage and Baronetage.

Daughter's Lifespan (Mean Deviation from Cohort Life Expectancy) as a Function of Paternal Lifespan Offspring data for adult lifespan (30+ years) are smoothed by 5-year running average. Extinct birth cohorts (born in ) European aristocratic families. 6,443 cases

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

Is the effect of non-linear inheritance remain valid after controlling for other explanatory variables? Lifespan of other parent Parental ages at child’s conception Ethnicity Month of birth

Offspring Lifespan at Age 30 as a Function of Paternal Lifespan Data are adjusted for other predictor variables Daughters, 8,284 casesSons, 8,322 cases

Offspring Lifespan at Age 30 as a Function of Maternal Lifespan Data are adjusted for other predictor variables Daughters, 8,284 casesSons, 8,322 cases

Is the effect of non-linear inheritance valid at older ages? (Offspring survival after age 60)

Offspring Lifespan at Age 60 as a Function of Paternal Lifespan Data are adjusted for other predictor variables Daughters, 6,517 casesSons, 5,419 cases

Offspring Lifespan at Age 60 as a Function of Maternal Lifespan Data are adjusted for other predictor variables Daughters, 6,517 casesSons, 5,419 cases

Is the effect of non-linear inheritance observed for non-biological relatives? We need to test an alternative hypothesis that positive effects of long-lived parents on the offspring survival may be non-biological and caused by common environment and life style What about lifespan of spouses?

Person’s Lifespan as a Function of Spouse Lifespan Data are adjusted for other predictor variables Married Women, 4,530 casesMarried Men, 5,102 cases

What about lifespan of other relatives? (sisters vs sisters-in-law)

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

Are the effects of familial longevity in humans similar to the effects of life-extending mutations in laboratory animals?

Mortality Kinetics Long-Lived Mutants of Mouse and Drosophila Mouse Snell dwarf mutant. Flurkey et al., PNAS, 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 SonsDaughters

Conclusion In animal longevity mutants the mortality kinetics demonstrates a parallel shift, which suggests delayed damage accumulation compared to control In humans mortality kinetics demonstrates mortality convergence, which suggests higher initial reserve capacity of their organisms (redundancy) with the same rate of damage accumulation

Parental-Age Effects (accumulation of mutation load in parental germ cells) Does progeny conceived to older parents live shorter lives?

Paternal Age as a Risk Factor for Alzheimer Disease MGAD - major gene for Alzheimer Disease Source: L. Bertram et al. Neurogenetics, 1998, 1:

Paternal Age and Risk of Schizophrenia Estimated cumulative incidence and percentage of offspring estimated to have an onset of schizophrenia by age 34 years, for categories of paternal age. The numbers above the bars show the proportion of offspring who were estimated to have an onset of schizophrenia by 34 years of age. Source: Malaspina et al., Arch Gen Psychiatry.2001.

Contour plot for daughters’ lifespan (deviation from cohort mean) as a function of paternal lifespan (X axis) and paternal age at daughters’ birth (Y axis) 7984 cases birth cohorts European aristocratic families Distance weighted least squares smooth

Daughters’ Lifespan as a Function of Paternal Age at Daughters’ Birth Data are adjusted for other predictor variables Daughters of shorter-lived fathers (<80), 6727 cases Daughters of longer-lived fathers (80+), 1349 cases

Conclusions Being conceived to old fathers is a risk factor, but it is modulated by paternal longevity It is OK to be conceived to old father if he lives more than 80 years

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 Beeton, M., Yule, G.U., Pearson, K Data for the problem of evolution in man. V. On the correlation between duration of life and the number of offspring. Proc. R. Soc. London, 67: Data used: English Quaker records and Whitney Family of Connectucut records for females and American Whitney family and Burke’s ‘Landed Gentry’ for males.

Findings and Conclusions by Beeton et al., 1900 They tested predictions of the Darwinian evolutionary theory that the fittest individuals should leave more offspring. Findings: Slightly positive relationship between postreproductive lifespan (50+) of both mothers and fathers and the number of offspring. Conclusion: “fertility is correlated with longevity even after the fecund period is passed” and “selective mortality reduces the numbers of the offspring of the less fit relatively to the fitter.”

Other Studies, Which Found Positive Correlation Between Reproduction and Postreproductive Longevity Alexander Graham Bell (1918): “The longer lived parents were the most fertile.” Bettie Freeman (1935): Weak positive correlations between the duration of postreproductive life in women and the number of offspring borne. Human Biology, 7: Bideau A. (1986): Duration of life in women after age 45 was longer for those women who borne 12 or more children. Population 41:

Studies that Found no Relationship Between Postreproductive Longevity and Reproduction Henry L Travaux et Documents. Gauter, E. and Henry L Travaux et Documents, 26. Knodel, J Demographic Behavior in the Past. Le Bourg et al., Experimental Gerontology, 28:

Study that Found a Trade-Off Between Reproductive Success and Postreproductive Longevity Westendorp RGJ, Kirkwood TBL Human longevity at the cost of reproductive success. Nature 396: Extensive media coverage including BBC and over 70 citations in scientific literature as an established scientific fact. Previous studies were not quoted and discussed in this article.

Number of progeny and age at first childbirth dependent on the age at death of married aristocratic women Source: Westendorp, R. G. J., Kirkwood, T. B. L. Human longevity at the cost of reproductive success. Nature, 1998, 396, pp

Do longevous women have impaired fertility ? Why is this question so important and interesting : Scientific Significance. This is a testable prediction of some evolutionary theories of aging (disposable soma theory of aging, Westendorp, Kirkwood, 1998) Practical Importance. Do we really wish to live a long life at the cost of infertility? Based these concerns a suggestion was made: "... increasing longevity through genetic manipulation of the mechanisms of aging raises deep biological and moral questions. These questions should give us pause before we embark on the enterprise of extending our lives“ Walter Glennon "Extending the Human Life Span", Journal of Medicine and Philosophy, 2002, Vol. 27, No. 3, pp Educational Significance. Do we teach our students right? Impaired fertility of longevous women is often presented in scientific literature and mass media as already established fact (Kirkwood, 2002; Westendorp, 2002; Glennon, 2002; Perls et al., 2002 etc.) Is it a fact or artifact ?

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. Source: Westendorp, R. G. J., Kirkwood, T. B. L. Human longevity at the cost of reproductive success. Nature, 1998, 396, pp

General Methodological Principle: Before making strong conclusions, consider all other possible explanations, including potential flaws in data quality and analysis Previous analysis by Westendorp and Kirkwood was made on the assumption of data completeness: Number of children born = Number of children recorded Potential concerns: data incompleteness, under-reporting of short-lived children, women (because of patrilineal structure of genealogical records), persons who did not marry or did not have children. Number of children born >> Number of children recorded

Test for Data Completeness Direct Test: Cross-checking of the initial dataset with other data sources We examined 335 claims of childlessness in the dataset used by Westendorp and Kirkwood. When we cross-checked these claims with other professional sources of data, we found that at least 107 allegedly childless women (32%) did have children! At least 32% of childlessness claims proved to be wrong ("false negative claims") ! Some illustrative examples: Henrietta Kerr (1653­1741) was apparently childless in the dataset used by Westendorp and Kirkwood and lived 88 years. Our cross-checking revealed that she did have at least one child, Sir William Scott (2nd Baronet of Thirlstane, died on October 8, 1725). Charlotte Primrose (1776­1864) was also considered childless in the initial dataset and lived 88 years. Our cross- checking of the data revealed that in fact she had as many as five children: Charlotte (1803­1886), Henry (1806­ 1889), Charles (1807­1882), Arabella ( ), and William (1815­1881). Wilhelmina Louise von Anhalt-Bernburg (1799­1882), apparently childless, lived 83 years. In reality, however, she had at least two children, Alexander (1820­1896) and Georg (1826­1902).

Antoinette de Bourbon ( ) Lived almost 90 years She was claimed to have only one child in the dataset used by Westendorp and Kirkwood: Marie ( ), who became a mother of famous Queen of Scotland, Mary Stuart. Our data cross-checking revealed that in fact Antoinette had 12 children! Marie Francois Ier Louise Renee Charles Claude Louis Philippe Pierre 1529 Antoinette Francois Rene

Characteristics of Our Data Sample for ‘Reproduction-Longevity’ Studies 3,723 married women born in and belonging to the upper European nobility. Women with two or more marriages (5%) were excluded from the analysis in order to facilitate the interpretation of results (continuity of exposure to childbearing). Every case of childlessness has been checked using at least two different genealogical sources.

Short Conclusion: Exceptional human longevity is NOT associated with infertility or childlessness

More Detailed Conclusions We have found that previously reported high rate of childlessness among long-lived women is an artifact of data incompleteness, caused by under- reporting of children. After data cleaning, cross-checking and supplementation the association between exceptional longevity and childlessness has disappeared. Thus, it is important now to revise a highly publicized scientific concept of heavy reproductive costs for human longevity. and to make corrections in related teaching curriculums for students. It is also important to disavow the doubts and concerns over further extension of human lifespan, that were recently cast in biomedical ethics because of gullible acceptance of the idea of harmful side effects of lifespan extension, including infertility (Glannon, 2002). There is little doubt that the number of children can affect human longevity through complications of pregnancies and childbearing, as well as through changes in socioeconomic status, etc. However, the concept of heavy infertility cost of human longevity is not supported by data, when these data are carefully reanalyzed.

Acknowledgments This study was made possible thanks to: generous support from the National Institute on Aging, and stimulating working environment at the Center on Aging, NORC/University of Chicago

For More Information and Updates Please Visit Our Scientific and Educational Website on Human Longevity: