New England Centenarian Study

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Welcome to the largest and most comprehensive study of centenarians and their families in the world!

To Discover the Secrets of A Long Healthy and Happy Life…

Our two major studies are the New England Centenarian Study (founded 1995) and the multi-center Long Life Family Study (Boston Medical Center is one of 5 study sites), established in 2006.

We are actively seeking participants to be in the New England Centenarian Study. The criteria are simply subjects age 103+ years old or 100+ years with siblings.

If you would like to contact the study, please call us at 888-333-6327 (toll free)  where you will hear a menu to be connected to a member of the research staff (please choose this option). You can also email the study manager, Stacy Andersen PhD at stacy@bu.edu or the Principal Investigator, Thomas Perls MD, MPH at thperls@bu.edu.

The New England Centenarian Study is funded by:

 

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William E Wood Foundation

 

The Martin A. Samowitz Foundation

 


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Since 2006, the  Long Life Family Study has been conducting a prospective study of 5,000 subjects belonging to about 550 families that demonstrate particularly unusual clustering for exceptional longevity. The Long Life Family Study is funded by and collaborates closely with The National Institute on Aging.


Please call Dr. Thomas Perls toll-free at 888-333-6327 or email him at thperls@bu.edu if you or a family member wish to discuss our studies, find out more information regarding enrollment or to discuss supporting our studies.

MEDIA INQUIRES: Please contact

Jenny Eriksen Leary
Manager of Media Relations
Boston Medical
Center
617-638-6841
jenny.eriksen@bmc.org


               Our Recent Discoveries & Publications (of >110 peer reviewed papers)

Genetic Signatures of Exceptional Longevity in Humans

Genes play a critical and complex role in facilitating exceptional longevity. The genetic influence becomes greater and greater with older and older ages, especially beyond 103 years of age.

  • Because many genes are involved, one needs to include many different genes at once (rather than one at a time) in what is called a genetic profile to accurately categorize who is a centenarian and who is not, based on genetic data alone.
  • We found 281 genetic markers that are 61% accurate in predicting who is 100 years old, 73% accurate in predicting who is 102 years old or older and 85% accurate in predicting who is 105 years old or older. In other words the prediction gets better with older and older ages beyond 100 which goes along with our hypothesis that the genetic component of exceptional longevity gets greater and greater with older and older age.
  • These 281 markers point to at least 130 genes, many of which have been shown to play roles in Alzheimer’s, diabetes, heart disease, cancers, high blood pressure, and basic biological mechanisms of aging.
  • Centenarians have just as many genetic variants that are associated with increased risk for age-related diseases (like Alzheimer’s, heart disease, stroke, diabetes and cancer) as people in the general population. Therefore, their tremendous survival advantage may in great part be due to the existence of longevity associated genetic variants that are protective and counter the negative effects of such disease gene variants.
  • People have genetic profiles that can be constructed from these 281 genetic markers (each of which has 3 variations) and these in turn are associated with specific probabilities of achieving very old age. Very interestingly, sub-groups of subjects have genetic profiles in common (what we call genetic signatures). Ninety percent of the 801 centenarians in the New England Centenarian Study could be grouped into one of 27 genetic signatures.
  • These genetic signatures are also associated with different predispositions to subgroups of centenarians such as those that completely escape heart disease, or those that delay Alzheimer’s disease until the last 5% of their very long lives. This method of generating signatures will be very useful for better understanding the underlying genetics of protection from age-related diseases, modulators of rates of aging and for the field of predictive and precision medicine.

Citation: Genetic Signatures of Exceptional Longevity in Humans. Paola Sebastiani, Nadia Solovieff, Andrew T. DeWan, Kyle M. Walsh, Annibale Puca, Stephen W. Hartley, Efthymia Melista, Stacy Andersen, Daniel A. Dworkis, Jemma B. Wilk, Richard H. Myers, Martin H. Steinberg, Monty Montano, Clinton T. Baldwin, Josephine Hoh, Thomas T. Perls.  PloS ONE 2012. DOI: 10.1371/journal.pone.0029848.

Many of the above genetic findings were replicated in a combination of 5 collaborating centenarian studies.

Citation: Meta-analysis of genetic variants associated with human exceptional longevity. Paola Sebastiani, Harold Bae1, Fangui X. Sun, Stacy L. Andersen, E. Warwick Daw, Alberto Malovini, Toshio Kojima, Nobuyoshi Hirose, Nicole Schupf, Annibale Puca, Thomas T Perls. Aging (Albany NY) 2013 September; 5(9): 653–661.  Published online 2013 August 24. PMCID: PMC3808698

 

The Older You Get, The Healthier You’ve Been

In another paper published January, 2012, we have produced perhaps some of our most exciting findings to date. Early on inThe New England Centenarian Study, we thought that centenarians had to markedly delay or even escape age-related diseases like heart attacks, stroke, diabetes and Alzheimer’s, or else they would never be able to get to their very old ages. In fact, in 1980, a Stanford researcher named James Fries proposed the “Compression of Morbidity” hypothesis which states that as one approaches the limit of human life span, they must compress the time that they develop diseases towards the very end of their life and he proposed that people around the age of 100 do this. However, in 2003 we found that many of our centenarian subjects had age related diseases even before the age of 80 (about 43%, and whom we called “survivors”), after the age of 80 (about 42% and whom we called “delayers”) and lastly, those who had no mortality-associated diseases at age 100 (about 15% and whom we called escapers). The key though was that 90% of all of the centenarians were still independently functioning at the average age of 93 years. Somehow, despite the presence of diseases, people who become centenarians don’t die from those diseases, but rather they are able to deal with them much better than other people and remain independently functioning more than 30 years beyond the age of 60. Therefore it seemed to us that for these study participants, it was not so much the compression of morbidity that was important to their survival, but rather a compression of disability.

In this current paper though, titled Health span approximates life span among many supercentenarians: Compression of morbidity at the approximate limit of life span, we have found that we just weren’t looking at old enough subjects when investigating Jim Fries’ hypothesis. As some of you know, over the past few years we have been working hard on recruiting and enrolling the most extreme old, supercentenarians who are people that live to 110 years and older. Once we enrolled our hundredth super-centenarian (by far the largest collection of supers in the world), we were able to investigate whether or not people who truly approach the limit of human lifespan actually compress their morbidity towards the end of their lives.     In our study of a reference group, nonagenarians (subjects in their nineties), centenarians (ages 100-104), semi-supercentenarians (ages 105-109) and supercentenarians(ages 110+), the subjects had progressively shorter periods of their lives spent with age-related diseases, from 17.9% of their lives in the referent group, to 9.4% in the nonagenarians and down to 5.2% in the supercentenarians. These findings support the compression of morbidity hypothesis and the idea that there truly is a limit to human life span 125 years. Also the supercentenarians were much more alike in terms of the markedly delayed age of onset of age-related diseases compared to the subjects age 100-104 who were quite heterogeneous. That homogeneity indicates they must have some factors (presumably genetic) in common that allow them to be so similar. We believe that our oldest subjects, ages 105+ years, give us the best chance and discovering these genes.

Citations: Health span approximates life span among many supercentenarians: Compression of morbidity at the approximate limit of life span  Andersen SL, Sebastiani P, Dworkis DA, Feldman L, Perls T. J Gerontol A Biol Sci Med Sci 2012;67A:395-405.

Families Enriched for Exceptional Longevity also have Increased Health-Span: Findings from the Long Life Family Study. Paola Sebastiani, Fangui X. Sun, Stacy L. Andersen, Joseph H. Lee, Mary K. Wojczynski, Jason L. Sanders, Anatoli Yashin, Anne B. Newman, Thomas T. Perls. Front Public Health. 2013; 1: 38.  Prepublished online 2013 August 16. Published online 2013 September 30. doi: 10.3389/fpubh.2013.00038. PMCID: PMC3859985.

Whole Genome Sequences of 2 Supercentenarians

The New England Centenarian Study, along with collaborators at the Scripps Institute and the University of Florida, Gainesville, performed and  published the first-ever whole genome sequence of a supercentenarian –and actually not one super, but two, both over the age of 114 years and one was a man and the other a woman. As with our paper on the genetic signatures of exceptional longevity, we found here as well that centenarians have just as many genetic variants associated with diseases as the general population. However, they likely also have longevity-associated variants that counteract such disease genes, thus allowing for slower aging and increased resistance to age-related diseases.

In this paper we also found several genes that occurred in our published genetic prediction model which had coding regions that led to differences in gene function. These findings support the validity of the genetic prediction model. The New England Centenarian Study has posted the whole genome sequences of these two subjects on a data repository (called dbGaP) based at the National Institutes of Health. This will allow researchers from around the world to access all of the data and use them for their own research. Our hope is that these data will lead to important discoveries about genes that help delay or allow the escape from age related diseases like Alzheimer’s disease.

Citation: Whole genome sequences of  male and female supercentenairnas, Both ages >114 years.  Sebastiani P, Riva A, Montano M, Pham P, Torkamani A, Scherba E, Benson G, Milton JN, Baldwin CT, Andersen S, Schork NJ, Steinberg MH, Perls T.  Frontiers in Genetics of Aging 2012;2.

Middle Age Mothers Live Longer

There is a growing body of evidence for a substantial genetic influence upon survival to the most extreme ages. An important question is what would be the selection pressure(s) for the evolution of longevity associated genetic variants.  The pressure to have a longer period of time during which women can bear children and therefore have more of them and therefore have greater success in passing one’s genes down to subsequent generations could be one such pressure.  This hypothesis is consistent with the disposable soma theory where the tradeoff in energy allocation between reproductive fitness and repair/maintenance functions can be delayed when longevity associated variants facilitate slower aging and the delay or prevention of age-related diseases that also adversely affect fertility. Several studies have noted an association between older maternal age and an increased odds of exceptional survival. The New England Centenarian Study assessed maternal age history in its sample of female centenarians and a birth-cohort-matched referent sample of women who survived to the cohort’s average life expectancy. Women who gave birth to a child after the age of 40 (fertility assistance was not technologically available to this cohort) had a four times greater odds of being a centenarian. Numerous investigators are now searching for and investigating genes that influence reproductive fitness in terms of their ability to also influence rate of aging and susceptibility to age-related diseases.

 Citations: Middle-aged mothers live longer. Perls TT, Alpert L, Fretts RC. Nature. 1997 Sep 11;389(6647):133.PMID: 9296486 [PubMed – indexed for MEDLINE]

Extended maternal age at birth of last child and women’s longevity in the Long Life Family Study. Sun F, Sebastiani P, Schupf N, Bae H, Andersen SL, McIntosh A, Abel H, Elo IT, Perls TT. Menopause. 2015 Jan;22(1):26-31. doi: 10.1097/GME.0000000000000276. PMID: 24977462. [PubMed – in process]

 

 Media Coverage

Alice Park February 11, 2010

 

 

 

 


Key Peer-Reviewed Publications. From list of >100 articles.

  1. Extended maternal age at birth of last child and women’s longevity in the Long Life Family Study. Sun F, Sebastiani P, Schupf N, Bae H, Andersen SL, McIntosh A, Abel H, Elo IT, Perls TT. Menopause. 2015 Jan;22(1):26-31. doi: 10.1097/GME.0000000000000276. PMID: 24977462. [PubMed – in process]
  2. Common genetic variants on 6q24 associated with exceptional episodic memory performance in the elderly. Barral S, Cosentino S, Christensen K, Newman AB, Perls TT, Province MA, Mayeux R; Long Life Family Study. JAMA Neurol. 2014 Dec;71(12):1514-9. doi: 10.1001/jamaneurol.2014.1663. PMID: 25317765 [PubMed – in process]
  3. Heritability of and mortality prediction with a longevity phenotype: the healthy aging index. Sanders JL, Minster RL, Barmada MM, Matteini AM, Boudreau RM, Christensen K, Mayeux R, Borecki IB, Zhang Q, Perls T, Newman AB. J Gerontol A Biol Sci Med Sci. 2014 Apr;69(4):479-85. doi: 10.1093/gerona/glt117. Epub 2013 Aug 2. PMID: 23913930. [PubMed – indexed for MEDLINE]
  4. An oral health study of centenarians and children of centenarians. Kaufman LB, Setiono TK, Doros G, Andersen S, Silliman RA, Friedman PK, Perls TT. J Am Geriatr Soc. 2014 Jun;62(6):1168-73. doi: 10.1111/jgs.12842. Epub 2014 Jun 2. PMID: 24889721 [PubMed – indexed for MEDLINE]
  5. Genome-wide association study identifies common loci influencing circulating glycated hemoglobin (HbA1c) levels in non-diabetic subjects: the Long Life Family Study (LLFS). An P, Miljkovic I, Thyagarajan B, Kraja AT, Daw EW, Pankow JS, Selvin E, Kao WH, Maruthur NM, Nalls MA, Liu Y, Harris TB, Lee JH, Borecki IB, Christensen K, Eckfeldt JH, Mayeux R, Perls TT, Newman AB, Province MA. Metabolism. 2014 Apr;63(4):461-8. doi: 10.1016/j.metabol.2013.11.018. Epub 2013 Dec 4. PMID: 24405752 [PubMed – indexed for MEDLINE]
  6. An efficient technique for Bayesian modeling of family data using the BUGS software. Harold T. Bae, Thomas T. Perls, Paola Sebastiani. Front Genet. 2014; 5: 390.  Published online 2014 November 18. doi: 10.3389/fgene.2014.00390. PMCID: PMC4235415
  7. Genome wide association and linkage analyses identified three loci—4q25, 17q23.2, and 10q11.21—associated with variation in leukocyte telomere length: the Long Life Family Study. Joseph H. Lee, Rong Cheng, Lawrence S. Honig, Mary Feitosa, Candace M. Kammerer, Min S. Kang, Nicole Schupf, Shiow J. Lin, Jason L. Sanders, Harold Bae, Todd Druley, Thomas Perls, Kaare Christensen, Michael Province, Richard Mayeux. Front Genet. 2013; 4: 310.  Published online 2014 January 17. doi: 10.3389/fgene.2013.00310 PMCID: PMC3894567
  8. Families Enriched for Exceptional Longevity also have Increased Health-Span: Findings from the Long Life Family Study. Paola Sebastiani, Fangui X. Sun, Stacy L. Andersen, Joseph H. Lee, Mary K. Wojczynski, Jason L. Sanders, Anatoli Yashin, Anne B. Newman, Thomas T. Perls. Front Public Health. 2013; 1: 38.  Prepublished online 2013 August 16. Published online 2013 September 30. doi: 10.3389/fpubh.2013.00038. PMCID: PMC3859985.
  9. Age Validation in the Long Life Family Study Through a Linkage to Early-Life Census Records. Irma T. Elo, Laryssa Mykyta, Paola Sebastiani, Kaare Christensen, Nancy W. Glynn, Thomas Perls. J Gerontol B Psychol Sci Soc Sci. 2013 July; 68(4): 580–585.  Published online 2013 June 4. doi: 10.1093/geronb/gbt033. PMCID: PMC3674734
  10. Genome-Wide Association Study of Personality Traits in the Long Life Family Study. Harold T. Bae, Paola Sebastiani, Jenny X. Sun, Stacy L. Andersen, E. Warwick Daw, Antonio Terracciano, Luigi Ferrucci, Thomas T. Perls. Front Genet. 2013; 4: 65.  Published online 2013 May 8. doi: 10.3389/fgene.2013.00065. PMCID: PMC3647245.
  11. Personality Factors in the Long Life Family Study. Stacy L. Andersen, Jenny X. Sun, Paola Sebastiani, Jaimie Huntly, Jesse D. Gass, Lori Feldman, Harold Bae, Lene Christiansen, Thomas T. Perls. J Gerontol B Psychol Sci Soc Sci. 2013 September; 68(5): 739–749.  Published online 2012 December 28. doi: 10.1093/geronb/gbs117. PMCID: PMC3744045
  12. Human longevity and common variations in the LMNA gene: a meta-analysis. Karen N. Conneely, Brian C. Capell, Michael R. Erdos, Paola Sebastiani, Nadia Solovieff, Amy J. Swift, Clinton T. Baldwin, Temuri Budagov, Nir Barzilai, Gil Atzmon, Annibale A. Puca, Thomas T. Perls, Bard J. Geesaman, Michael Boehnke, Francis S. Collins.Aging Cell. Author manuscript; available in PMC 2013 June 1. Published in final edited form as: Aging Cell. 2012 June; 11(3): 475–481. Published online 2012 March 27. doi: 10.1111/j.1474-9726.2012.00808.x PMCID: PMC3350595
  13. The Genetics of Extreme Longevity: Lessons from the New England Centenarian Study. Paola Sebastiani, Thomas T. Perls. Front Genet. 2012; 3: 277.  Published online 2012 November 30. doi: 10.3389/fgene.2012.00277. PMCID: PMC3510428
  14. Health and function of participants in the Long Life Family Study: A comparison with other cohorts. Newman AB, Glynn NW, Taylor CA, Sebastiani P, Perls TT, Mayeux R, Christensen K, Zmuda JM, Barral S, Lee JH, Simonsick EM, Walston JD, Yashin AI, Hadley E.  Aging (Albany NY). 2011 Jan 11. PMID: 21258136
  15. 100 Semi-supercentenarians and older as a proposed sample set for the Archon Genomics X PRIZE Validation Protocol. Perls T, Barzilai, N.  Nature Precedings. 2011. http://dx.doi.org/10.1038/npre.2011.5756.1
  16. Typologies of Extreme Longevity Myths. Young RD, Desjardins B, McLaughlin K, Poulain M, Perls T.  Current Gerontology and Geriatrics Research 2010; doi:10.1155/2010/423087 http://www.hindawi.com/journals/cggr/2010/423087/
  17. Do gender, disability, and morbidity affect aging rate in the LLFS? Application of indices of cumulative deficits. Kulminski AM, Arbeev KG, Christensen K, Mayeux R, Newman AB, Province MA, Hadley EC, Rossi W, Perls TT, Elo IT, Yashin AI.  Mech Ageing Dev. 2011 Apr;132(4):195-201.
  18. Clustering by genetic ancestry using genome-wide SNP data. Solovieff N, Hartley SW, Baldwin CT, Perls TT, Steinberg MH, Sebastiani P. BMC Genet. 2010 Dec 9;11:108. 
  19. Cognitive function in families with exceptional survival.  Barral S, Cosentino S, Costa R, Matteini A, Christensen K, Andersen SL, Glynn NW, Newman AB, Mayeux R. Neurobiol Aging. 2012 Mar 33;3:619.
  20. Executive functioning. Stern RA, Andersen SL, Gavett BE (2011).  In A. E. Budson & N. W. Kowall (Eds.), The handbook of Alzheimer’s Disease and other dementias (pp 369-415). : West Sussex, UK: Wiley-Blackwell.
  21. Personality traits of centenarians’ offspring. Givens JL, Frederick M, Silverman L, Anderson S, Senville J, Silver M, Sebastiani P, Terry DF, Costa PT, Perls TT. . J Am Geriatr Soc. 2009 Apr;57(4):683-5. PMID: 19392961
  22. A family longevity selection score: ranking sibships by their longevity, size, and availability for study. Sebastiani P, Hadley EC,   Province M, Christensen K, Rossi W, Perls T, Ash AS.  Am J Epidemiol. 2009 Dec 15;170(12):1555-62. Epub 2009 Nov 12.PMID: 19910380.
  23. Genome-wide association studies and the genetic dissection of complex traits.  Sebastiani P, Timofeev N, Dworkis DA, Perls TT, Steinberg MH. Am J Hematol. 2009 Aug;84(8):504-15. Review. PMID: 19569043
  24. RNA editing genes associated with extreme old age in humans and with lifespan in C. elegans. Sebastiani P, Montano M, Puca A, Solovieff N, Kojima T, Wang MC, Melista E, Meltzer M, Fischer SE, Andersen S, Hartley SH, Sedgewick A, Arai Y, Bergman A, Barzilai N, Terry DF, Riva A, Anselmi CV, Malovini A, Kitamoto A, Sawabe M, Arai T, Gondo Y, Steinberg MH, Hirose N, Atzmon G, Ruvkun G, Baldwin CT, Perls TT.  PLoS One;4(12):e8210.PMID: 20011587
  25. Health and disease in people over 85. Perls T.  BMJ. 2009 Dec 22;339:b4715. doi: 10.1136/bmj.b4715
  26. Prediction models that include genetic data. Sebastiani P, Perls TT. Circ Cardiovasc Genet. 2010 Feb 1;3(1):1-2. No abstract available. PMID: 20160188 [PubMed – indexed for MEDLINE]
  27. Prediction Models That Include Genetic Data. Paola Sebastiani, Thomas T. Perls. Circ Cardiovasc Genet.  2010 February 1; 3(1): 1–2. doi: 10.1161/CIRCGENETICS.110.937862. PMCID PMC2895327.
  28. A family longevity selection score: ranking sibships by their longevity, size, and availability for study. Sebastiani P, Hadley EC, Province M, Christensen K, Rossi W, Perls TT, Ash AS. Am J Epidemiol. 2009 Dec 15;170(12):1555-62. doi: 10.1093/aje/kwp309. Epub 2009 Nov 12. PMID: 19910380 [PubMed – indexed for MEDLINE] Free PMC Article
  29. Genome-wide association studies and the genetic dissection of complex traits. Sebastiani P, Timofeev N, Dworkis DA, Perls TT, Steinberg MH. Am J Hematol. 2009 Aug;84(8):504-15. doi: 10.1002/ajh.21440. Review. PMID: 19569043 [PubMed – indexed for MEDLINE] Free PMC Article
  30. Personality traits of centenarians’ offspring. Givens JL, Frederick M, Silverman L, Anderson S, Senville J, Silver M, Sebastiani P, Terry DF, Costa PT, Perls TT. J Am Geriatr Soc. 2009 Apr;57(4):683-5. doi: 10.1111/j.1532-5415.2009.02189.x. PMID: 19392961 [PubMed – indexed for MEDLINE] Free PMC Article
  31. Centenarian offspring: start healthier and stay healthier. Adams ER, Nolan VG, Andersen SL, Perls TT, Terry DF. J Am Geriatr Soc. 2008 Nov;56(11):2089-92. doi: 10.1111/j.1532-5415.2008.01949.x. Epub 2008 Sep 22. PMID: 18811609 [PubMed – indexed for MEDLINE] Free PMC Article
  32. Association of longer telomeres with better health in centenarians. Terry DF, Nolan VG, Andersen SL, Perls TT, Cawthon R. J Gerontol A Biol Sci Med Sci. 2008 Aug;63(8):809-12. PMID: 18772468 [PubMed – indexed for MEDLINE] Free PMC Article
  33. Disentangling the roles of disability and morbidity in survival to exceptional old age. Terry DF, Sebastiani P, Andersen SL, Perls TT. Arch Intern Med. 2008 Feb 11;168(3):277-83. doi: 10.1001/archinternmed.2007.75. PMID: 18268168 [PubMed – indexed for MEDLINE] Free PMC Article
  34. A hierarchical and modular approach to the discovery of robust associations in genome-wide association studies from pooled DNA samples. Sebastiani P, Zhao Z, Abad-Grau MM, Riva A, Hartley SW, Sedgewick AE, Doria A, Montano M, Melista E, Terry D, Perls TT, Steinberg MH, Baldwin CT. BMC Genet. 2008 Jan 14;9:6. doi: 10.1186/1471-2156-9-6. PMID: 18194558 [PubMed – indexed for MEDLINE] Free PMC Article
  35. Survival of parents and siblings of supercentenarians. Perls T, Kohler IV, Andersen S, Schoenhofen E, Pennington J, Young R, Terry D, Elo IT. J Gerontol A Biol Sci Med Sci. 2007 Sep;62(9):1028-34. PMID: 17895443 [PubMed – indexed for MEDLINE] Free PMC Article
  36. Characteristics of 32 supercentenarians. Schoenhofen EA, Wyszynski DF, Andersen S, Pennington J, Young R, Terry DF, Perls TT. J Am Geriatr Soc. 2006 Aug;54(8):1237-40. PMID: 16913991 [PubMed – indexed for MEDLINE] Free PMC Article
  37. Cancer in the oldest old. Andersen SL, Terry DF, Wilcox MA, Babineau T, Malek K, Perls TT. Mech Ageing Dev. 2005 Feb;126(2):263-7. PMID: 15621206 [PubMed – indexed for MEDLINE]
  38. Dementia-free centenarians. Perls T. Exp Gerontol. 2004 Nov-Dec;39(11-12):1587-93. PMID: 15582273 [PubMed – indexed for MEDLINE]
  39. Lower all-cause, cardiovascular, and cancer mortality in centenarians’ offspring. Terry DF, Wilcox MA, McCormick MA, Pennington JY, Schoenhofen EA, Andersen SL, Perls TT. J Am Geriatr Soc. 2004 Dec;52(12):2074-6. PMID: 15571545 [PubMed – indexed for MEDLINE] Related citations
  40. Morbidity profiles of centenarians: survivors, delayers, and escapers. Evert J, Lawler E, Bogan H, Perls T. J Gerontol A Biol Sci Med Sci. 2003 Mar;58(3):232-7. PMID: 12634289 [PubMed – indexed for MEDLINE] Related citations
  41. The genetics of exceptional human longevity. Perls T, Kunkel LM, Puca AA. J Am Geriatr Soc. 2002 Feb;50(2):359-68. PMID: 12028221 [PubMed – indexed for MEDLINE] Related citations
  42. Genetic and environmental influences on exceptional longevity and the AGE nomogram. Perls T. Ann N Y Acad Sci. 2002 Apr;959:1-13. PMID: 11976180 [PubMed – indexed for MEDLINE] Related citations
  43. A genome-wide scan for linkage to human exceptional longevity identifies a locus on chromosome 4. Puca AA, Daly MJ, Brewster SJ, Matise TC, Barrett J, Shea-Drinkwater M, Kang S, Joyce E, Nicoli J, Benson E, Kunkel LM, Perls T. Proc Natl Acad Sci U S A. 2001 Aug 28;98(18):10505-8. Epub 2001 Aug 27. PMID: 11526246 [PubMed – indexed for MEDLINE]PMCID: PMC56990 Free PMC Article
  44. The evolution of menopause and human life span. Perls TT, Fretts RC. Ann Hum Biol. 2001 May-Jun;28(3):237-45. PMID: 11393331 [PubMed – indexed for MEDLINE] Related citations
  45. Siblings of centenarians live longer. Perls TT, Bubrick E, Wager CG, Vijg J, Kruglyak L. Lancet. 1998 May 23;351(9115):1560. PMID: 10326548 [PubMed – indexed for MEDLINE]
  46. Middle-aged mothers live longer. Perls TT, Alpert L, Fretts RC. Nature. 1997 Sep 11;389(6647):133.PMID: 9296486 [PubMed – indexed for MEDLINE] Related citations

PEER REVIEWED ARTICLES CONCERNING USE OF GROWTH HORMONE, TESTOSTERONE, ANABOLIC STEROIDS, DHEA, PROCAINE FOR ANTI-AGING QUACKERY

The reappearance of procaine hydrochloride (Gerovital H3) for antiaging. Perls T. J Am Geriatr Soc. 2013 Jun;61(6):1024-5. doi: 10.1111/jgs.12278. No abstract available. PMID: 23772727. [PubMed – indexed for MEDLINE]

Growth hormone and anabolic steroids: athletes are the tip of the iceberg. Perls TT. Drug Test Anal. 2009 Sep;1(9-10):419-25. doi: 10.1002/dta.87. PMID: 20355224 [PubMed – indexed for MEDLINE]. Abstract: Professional Athletes’ misuse of anabolic steroids, growth hormone and other drugs are the tip of a very large, mostly ignored iceberg, made up of people who receive these drugs for such non-medical uses as body-building, school sports and “anti-aging”. Although these drugs are often used in combination, this article focuses on growth hormone. Fuelling the demand for these drugs are drug manufacturers, pharmacies, websites, clinics and their doctors.

New developments in the illegal provision of growth hormone for “anti-aging” and bodybuilding. Olshansky SJ, Perls TT. JAMA. 2008 Jun 18;299(23):2792-4. doi: 10.1001/jama.299.23.2792. No abstract available. PMID: 18560007 [PubMed – indexed for MEDLINE]

DHEA and testosterone in the elderly. Perls TT. N Engl J Med. 2007 Feb 8;356(6):636; author reply 637. No abstract available. PMID: 17288051 [PubMed – indexed for MEDLINE]

Hope drives antiaging hype. Perls TT. Cleve Clin J Med. 2006 Dec;73(12):1039-40, 1044. Review. No abstract available. PMID: 17190307 [PubMed – indexed for MEDLINE]

Provision or distribution of growth hormone for “antiaging”: clinical and legal issues. Perls TT, Reisman NR, Olshansky SJ. JAMA. 2005 Oct 26;294(16):2086-90. No abstract available. PMID: 16249424 [PubMed – indexed for MEDLINE]

Anti-aging quackery: human growth hormone and tricks of the trade–more dangerous than ever. Perls TT. J Gerontol A Biol Sci Med Sci. 2004 Jul;59(7):682-91. PMID: 15304532 [PubMed – indexed for MEDLINE]

The hype and the reality–part I. Olshansky SJ, Hayflick L, Perls TT. J Gerontol A Biol Sci Med Sci. 2004 Jun;59(6):B513-4. No abstract available. PMID: 15215255 [PubMed – indexed for MEDLINE]

Antiaging medicine: what should we tell our patients? Perls T. Aging Health April 2010, Vol. 6, No. 2, Pages 149-154 , DOI 10.2217/ahe.10.11 (doi:10.2217/ahe.10.11)

See Also: www.hghwatch.com


 

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