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Download Aging Library (Doc)

• Austad, SN. 2007. Hot topics in vertebrate aging research 2006. Aging Cell 6(2), 135-138.
• Austad, SN. (2008). Hot topics in vertebrate aging research 2007. Aging Cell 7, 119-124.
• Austad SN. (2010). Hot Topics - recent advances in vertebrate aging research 2009. Aging Cell 9, 297-303.
• Austad SN. (2010). The first 150-year-old human. Public Policy & Aging Report 20(4), 14-17.
• Austad SN (2011). Raising the retirement age: a biologist’s perspective. Public Policy & Aging Report 21(2), 8-11. PMCID: N/A.
• Allison DB, Antoine LH, Ballinger SW, Bamman MM, Biga P, Darley-Usmar VM, Fisher G, Gohlke JM, Halade GV, Hartman JL IV, Hunter GR, Messina JL, Nagy TR, Plaisance EP, Powell ML, Roth KA, Sandel MW, Schartz TS, Smith DL Jr, Sweatt JD, Tollefsbol TO, Watts SA, Yang Y, Zhang J, Austad SN. (2014) Aging and energetics’ ‘Top 40’ future research opportunities 2010-2013 [v1; ref status: indexed, http://f1000r.es/4ae] F1000Research 2014, 3:219 (doi: 10.12688/f1000research.5212.1). PMC4197746. http://www.ncbi.nlm.nih.gov/pubmed/25324965
• Richardson A, Fischer KE, Speakman JR, de Cabo R, Mitchell SJ, Peterson CA, Rabinovitch P, Chiao YA, Taffet G, Miller RA, Renteria RC, Bower J, Ingram DK, Ladiges WC, Ikeno Y, Sierra F, Austad SN (2015). Measures of healthspan as indices of aging in mice – a recommendation. Journal of Gerontology Series A Biological and Medical Sciences. Aug 22 (epub ahead of print). PMCID: in process.

Download Aging and Animal Models Library (Doc)

• Phelan, J.P. & S.N. Austad. 1994. Selecting animal models of human aging: inbred strains often exhibit less biological uniformity that F1 hybrids. Journals of Gerontology 49: B1-B11.
• Sprott, R.L. & S.N. Austad. 1996. Animal models for aging research. In: Handbook of the biology of aging. 4th Edition. E. Schneider & J.W. Rowe (Eds.). San Diego, CA: Academic Press. pp. 3-23.
• Austad, S.N. 1997. Issues in the choice of genetic configuration for animal aging models. Experimental Gerontology. 32:55-63.
• Austad, S.N. 1998. Small nonhuman primates as potential models of human aging. ILAR Journal 38(3):142-147.
• Austad, S.N. 1998. Birds as models of aging in biomedical research. ILAR Journal 38(3):137-141.
• Miller, R.A., Dysko, R. Chrisp, C., Seguin, R., Linsalata, L., Buehner, G., Harper, J.M., & Austad, S.N. 2000. Mouse stocks derived from tropical islands: new models for genetic analysis of life history traits. Journal of Zoology 250: 95-104.
• Miller, R.A., Austad, S.N., Burke, D., Chrisp, C., Dysko, R., Galecki, A., Jackson, A., & Monnier, V. 1999. Exotic mice as models for aging research: polemic and prospectus. Neurobiology of Aging. 20: 217-231.
• Miller, R.A., Harper, J.M., Dysko, R.C., Durkee, S.J., Austad, S.N. 2002. Longer life spans and delayed maturation in wild-derived mice. Experimental Biology and Medicine 227: 500-508.
• Austad, SN; Kristan, DM. 2003. Are mice calorically-restricted in nature? Aging Cell 2: 209-218.
• Austad, SN. 2003. Introduction to animal models. Exp. Gerontol. 38:1327-1328.
• Austad, SN. 2004. On Herrera and Jagadeeswaran’s “Annual fish as a genetic model for aging.” J. Gerontol. A Biol. Sci. Med Sci. 59:99-100.
• Austad, SN, Podlutsky, A. 2006. A critical evaluation of nonmammalian models for aging research. In Handbook of the Biology of Aging, 6th Ed. Masoro, EJ & Austad, SN (eds.). Academic Press, San Diego, CA. pp. 449-469.
• Harper, JM, Durkee, SJ, Dysko, RC, Austad, SN, Miller, RA. 2006. Genetic modulation of hormone levels and life span in hybrids between laboratory and wild-derived mice. Journals of Gerontology: Biological Sciences 61, 1019-1029.
• Sprott, R.L. & Austad, S.N. 2006. Historical development of animal models of aging. In Conn, P.N. (Ed) Handbook of Models for Human Aging, (pp.1-8) Burlington: Elsevier.
• Flurkey, K; Brandvian, Y; Klebanov, S; Austad, SN; Miller, RA, Yuan, R., Harrison, D.E. (2007). PohnB6F1: a cross of wild and domestic mice that is a new model of extended female reproductive life span. Journal of Gerontology: Biological Sciences, 62A: 1187-98.
• Austad, S.N. (2009). Is there a role for new invertebrate models for aging research? Journals of Gerontology: Biological Sciences & Medical Sciences, 64(2), 192-94.
• Austad SN. (2011). Candidate bird species for use in aging research. ILAR Journal 52, 89-95. PMCID: N/A
• Fischer KE, Austad SN (2011). The development of small primate models for aging research. ILAR Journal 52:78-88. PMCID: N/A
• Tomczyk S, Fischer KE, Austad SN, Galliot B. (2015) Hydra, a powerful model for aging studies. Invertebrate Reproduction and Development 59(S1), 11-16. PMC4464166.

Download Aging, Mortality, and Age-related Diseases Library (Doc)

• Allison, D. B., Heshka, S., Neale, M. C., Tishler, P. V., & Heymsfield, S. B. (1995). Genetic, Environmental, and Phenotypic Links Between Body Mass Index and Blood Pressure Among Women. American Journal of Medical Genetics, 55, 335-341.
• Allison, D. B., & Faith, M. S. (1996). On Estimating the Minima of BMI-Mortality Curves. International Journal of Obesity, 20, 496.
• Allison, D. B., Gallagher, D., Heo, M., Pi-Sunyer, F. X., & Heymsfield, S. B. (1997). Body mass index and mortality among persons over age 70: Analysis of the Longitudinal Study of Aging. International Journal of Obesity, 21, 424-431.
• Kotler, D. P., Thea, D. M., Allison, D. B., Wang, J., Pierson, R. N., St. Louis, M., & Keusch, G. T. (1998). Relative and interacting effects of sex, race, environment, and age upon body cell mass in healthy adults. American Journal of Human Biology, 10, 259-268.
• Heo, M., Faith, M. S., & Allison, D. B. (1998). Power and sample size for survival analysis under the Weibull distribution when the whole lifespan is of interest. Mechanisms of Ageing and Development, 102, 45-53.
• Fontaine, K., Heo, M., Cheskin, L. J., & Allison, D. B. (1998). Body mass index, smoking, and mortality among older American women. Journal of Women’s Health, 7, 1257-1261.
• Mott, J. W., Wang, J., Thornton, J. C., Allison, D. B., Heymsfield, S. B., & Pierson, R. N. (1999). The relationship between body fat and age in four ethnic groups. American Journal of Clinical Nutrition, 69, 1007-13.
• Allison, D. B., Heo, M., Flanders, D. W., Faith, M. S., Carpenter, K. M., & Williamson, D. F. (1999). Simulation Study Of The Effects Of Excluding Early Mortality On Risk Factor-Mortality Analyses In The Presence Of Confounding Due To Occult Disease: The Example Of Body Mass Index. Annals of Epidemiology, 9, 132-142.
• Bray GA, … Allison DB, et al. (1999). The Diabetes Prevention Program - Design and methods for a clinical trial in the prevention of type 2 diabetes. Diabetes Care, 22: (4) 623-634.
• Smucny, D.A., Allison, D.B., Ingram, D.K., Roth, G.S., Kemnitz, J.W., Kohama, S.G., & Lane, M.A. (2001). Changes in Blood Chemistry and Hematology Variables during Aging in Captive Rhesus Macaques (Macaca mulatta). Journal of Medical Primatology, 30(3):161-173.
• Mountz JD, Van Zant G, Allison DB, Zhang HG, Hsu HC. (2002). Beneficial influences of systemic cooperation and sociological behavior on longevity. Mechanisms of Ageing and Development, Apr;123(8):963-73.
• Hsu H. C., Zhang H. G., Li L., Yi N., Yang P. A., Wu Q., Zhou J., Sun S., Xu X., Yang X., Lu L., Van Zant G., Williams R. W., Allison D. B., & Mountz J. D. (2003). Age-related thymic involution in C57BL/6J x DBA/2J recombinant-inbred mice maps to mouse chromosomes 9 and 10. Genes and Immunity, 4(6):402-410.
• St-Onge, M. P., Wang, J., Shen, W., Wang, Z., Allison, D. B., Heshka, S., Heymsfield, S. B. (2004). Dual-energy x-ray absorptiometry-measured lean soft tissue mass: differing relation to body cell mass across the adult life span. Journal of Gerontology: A Biol Sci Med Sci. Aug;59(8):B796-800.
• Wang, C., Li, Q., Redden, D. T., Weindruch, R., & Allison, D. B. (2004). Statistical Methods for Testing Effects on “Maximum Lifespan.” Mechanisms of Ageing and Development, 125, 629-632.
• Olshansky, S. J., Passaro, D., Hershow, R., Layden, J., Carnes, B. A., Brody, J., Hayflick, L., Butler, R. N., Allison, D. B., & Ludwig, D. S. (2005). A Potential Life Expectancy Decline in the United States in the 21st Century? New England Journal of Medicine, 352, 1138-1145.
• Hunter, G. R., Lara-Castro, C., Byrne, N. M., Zakharkin, S. O., St. Onge, M-P., Allison, D. B. (2005). Weight loss needed to maintain visceral adipose tissue during aging. International Journal of Body Composition Research, 3, 55-61.
• Park SK, Page GP, Kim K, Allison DB, Meydani M, Weindruch R, Prolla TA. (2008). Alpha- and gamma-Tocopherol prevent age-related transcriptional alterations in the heart and brain of mice. Journal of Nutrition. Jun;138(6):1010-8. PMCID: PMC2768425.
• Muzumdar, R., Allison, D. B., Huffman, D. M., Ma, X., Atzmon, G., Einstein, F. H., Fishman, S., Poduval, A. D., McVei, T., Keith, S. W., & Barzilai, N. (2008). Visceral adipose tissue modulates mammalian longevity. Aging Cell. Jun; 7, 438-440. Epub 2008 Mar 18. PMCID: PMC2504027.
• Gao G, Wan W, Zhang S, Redden DT, Allison DB. (2008). Testing for Differences in Distribution Tails to Test for Differences in ‘Maximum’ Lifespan. BMC Medical Research Methodology Jul 25;8:49. PMCID: PMC2529340.
• Shen, W., Punyanitya, M., Silva, A.M., Chen, J., Gallagher, D., Sardinha, L.B., Allison, D.B., Heymsfield, S.B. (2009). Sexual Dimorphism of Adipose Tissue Distribution across the Lifespan: A Cross-Sectional Whole-Body Magnetic Resonance Imaging Study. Nutrition & Metabolism. Apr16; 6:17. PMCID: PMC2678136.
• Park, S. Kim, K., Page, G. P. Allison, D. B., Weindruch, R., & Tomas A. Prolla, T. A. (2009). Gene expression profiling of aging in multiple mouse strains: identification of aging biomarkers and impact of dietary antioxidants. Aging Cell. Aug; 8(4), 484–495. Epub 2009 Jun. PMCID: PMC2733852.
• Smith, D. L., Elam, C. F., Mattison, J. A., Lane, M. A., Roth, G. S., Ingram, D. K., & Allison, D. B. (2010). Metformin Supplementation and Lifespan in Fischer-344 Rats. Journal of Gerontology: Series A, Biological Sciences and Medical Sciences. May;65(5):468-474. Epub 2010 Mar 19. PMCID: PMC2854888.
• Childers, D. K., & Allison, D. B. (2010). The ‘Obesity Paradox:’ a parsimonious explanation for relations among obesity, mortality rate, and aging? International Journal of Obesity. May 4; [Epub ahead of print]. PMCID: PMC3186057.
• Smith, D. L., Robertson, H., Desmond, R., Nagy, T. R., & Allison, D. B. (2011). No compelling evidence that sibutramine prolongs life in rodents despite providing a dose-dependent reduction in body weight. International Journal of Obesity, May;35(5):652-7. PMCID: PMC3091992.
• Robertson, H. T., Smith, D.L., Pajewski, N. M., Weindruch, R. H., Garland, T. Jr., Argyropoulos, G., Bokov, A., Allison, D.B. (2011). Can Rodent Longevity Studies be Both Short and Powerful? Journal of Gerontology: Biological Sciences, Mar;66(3):279-86. PMCID: PMC3041472.
• Robertson, H. T., & Allison, D. B. (2012). A Novel Generalized Normal Distribution for Human Longevity And Other Negatively Skewed Data. PLoS One, 7(5):e37025.
• de los Campos, G., Klimentidis, Y. C., Vazquez, A. I., Allison, D. B. (2012). Prediction of Expected Years of Life Using Whole-Genome Markers. PLoS One, 7(7):e40964.
• Harrison DE, Strong R, Allison DB, Ames BN, Astle CM, Atamna H, Fernandez E, Flurkey K, Javors MA, Nadon NL, Nelson JF, Pletcher S, Simpkins JW, Smith D, Wilkinson JE, & Miller RA. (2014). Acarbose, 17-a-estradiol, and nordihydroguaiaretic acid extend mouse lifespan preferentially in males. Aging Cell, Apr;13(2):273-82. doi: 10.1111/acel.12170.
• Mitchell SJ, Martin-Montalvo A, Mercken EM, Palacios HH, Ward TM, Abulwerdi G, Minor RK, Vlasuk GP, Ellis JL, Sinclair DA, Dawson J, Allison DB, Zhang Y, Becker KG, Bernier M, de Cabo R. (2014). The SIRT1 Activator SRT1720 Extends Lifespan and Improves Health of Mice Fed a Standard Diet. Cell Reports. 2014 Feb 25. pii: S2211-1247(14)00065-5. doi: 10.1016/j.celrep.2014.01.031. [Epub ahead of print]
• Arum, O., Dawson, J. A., Smith, D. L., Kopchick, J. J., Allison, D. B., Bartke, A. (in press). Does Altered Energy Metabolism or Spontaneous Locomotion “Mediate” Decelerated Senescence? Aging Cell. 2015 Feb 26. doi: 10.1111/acel.12318. [Epub ahead of print]. PMID: 25720347.

Download Dietary Restriction Library (Doc)

• Phelan, J.P. & S.N. Austad. 1989. Natural selection, dietary restriction and extended longevity. Growth, Development, & Aging 53:4-6.
• Austad, S.N. 1989. Life extension by dietary restriction in the bowl and doily spider, Frontinella pyramitela. Experimental Gerontology 24: 83-92.
• Austad, S.N. 1995. Aging and caloric restriction: human effects and mode of action. Neurobiology of Aging 16:851-852.
• Masoro, E.J. & Austad, S.N. 1996. The evolution of the antiaging action of dietary restriction: a hypothesis. Journals of Gerontology 51A:B387-B391.
• Wanagat J, Allison DB, Weindruch R. 1999. Caloric intake and aging: mechanisms in rodents and a study in nonhuman primates. Toxicological Sciences, 52(2 Suppl):35-40.
• Zainal, T. A., Oberley, T. D., Allison, D. B., Szweda, L. I., & Weindruch, R. (2000). Caloric Restriction of Rhesus Monkeys Lowers Oxidative Damage in Skeletal Muscle. FASEB Journal, 14, 1825-1836.
• Allison, D.B., Miller, R.A., Austad, S.N., Bouchard, C., Leibel, R., Klebanov, S., Johnson, T., and Harrison, D.E. 2001. Genetic variability in responses to caloric restriction in animals and in regulation of metabolism and obesity in humans. Journal of Gerontology: Biological Sciences 56A:55-65.
• Austad, S.N. (2001). Does caloric restriction in the laboratory simply prevent overfeeding and return house mice to their natural level of food intake? Science of Aging Knowledge Environment. AAAS.
• Black, A, Allison, DB, Shapses, SA, Tilmont, EM, Handy, AM, Ingram, DK, Roth GS, Lane MA. 2001. Calorie Restriction and Skeletal Mass in Rhesus Monkeys (Macaca mulatta): Evidence for an Effect Mediated Through Changes in Body Size. Journal of Gerontology, Biological Sciences, 56A, B98-B107.
• Lee I-M, Blair SN, Allison DB, Folsom AR, Harris TB, Manson JE, Wing RR. 2001. Epidemiologic data on the relationships of caloric intake, energy balance, and weight gain over the life span with longevity and morbidity. Journal of Gerontology, Series A, 56 (special issue 1); 7-19.
• Kayo, T., Allison, D. B., Weindruch, R. & Prolla, T. A. 2001. Influences of Aging and Caloric Restriction on the Transcriptional Profile of Skeletal Muscle from Rhesus Monkeys. Proceedings of The National Academy of Sciences, 98, 5093-5098.
• Gresl, T. A., Colman, R. J., Roecker, E. B., Havighurst, T. C. Huang, Z., Allison, D. B., Bergman, R. N., & Kemnitz, J. W. 2001. Dietary Restriction and Glucose Regulation in Aging Rhesus Monkeys: A Follow-up Report at 8.5 Years. American Journal Of Physiology-Endocrinology and Metabolism, 281 (4): E757-E765.
• Lee, CK, Allison, D. B., Brand, J., Weindruch, R., & Prolla, T. A. 2002. Transcriptional Profiles Associated with Aging and Adult-Onset Caloric Restriction in Mouse Hearts. Proceedings of the National Academy of Sciences, 99, 14988-14993.
• Rikke, B. A., Yerg, J. E., Battaglia, M. E., Nagy, T. R., Allison, D. B., & Johnson, T. E. 2003. Significant Strain Variation in the Response of Body Temperature to Dietary Restriction. Mechanisms of Ageing and Development, 124(5):663-78.
• Gresl, T. A., Colman, R. J., Havighurst, T. C., Allison, D. B., Schoeller, D. A., & Kemnitz, J. W. 2003. Dietary restriction and B-cell sensitivity to glucose in adult male rhesus monkeys. Journal of Gerontology A: Biological Sciences & Medical Sciences, 58(7):B598-B610.
• Higami, Y., Pugh, T. D., Page, G. P., Allison, D. B., Prolla, T. A., Weindruch, R. (2003). Adipose tissue energy metabolism: altered gene expression profile of mice subjected to long-term caloric restriction. The FASEB Journal Express Article 10.1096/fj.03-0678fje. Published online December 19, 2003. Published in print as FASEB Journal, 2004 Feb;18(2):415-7.
• Wang, C., Weindruch, R., Fernandez, J. R., Coffey, C. S., Patel, P., & Allison, D. B. (2004). Caloric Restriction and Body Weight independently Affect Longevity in Wistar Rats. International Journal of Obesity, 28, 357-62.
• Rikke, B. A., Yerg, J. E., Battaglia, M. E., Nagy, T. R., Allison, D. B., Johnson, T. E. (2004). Quantitative Trait Loci Specifying the Response of Body Temperature to Dietary Restriction. Journal of Gerontology: Biological Sciences, 59A, 118–125 http://biomedgerontology.oxfordjournals.org/content/59/2/B118.short
• Lee CK, Pugh TD, Klopp RG, Edwards J, Allison DB, Weindruch R, Prolla TA. (2004). The impact of alpha-lipoic acid, coenzyme Q(10) and caloric restriction on life span and gene expression patterns in mice. Free Radical Biology and Medicine, 15;36(8):1043-57. http://www.sciencedirect.com/science/article/pii/S0891584904000826
• Harper, JM, Leathers, CW, Austad, SN. 2006. Does caloric restriction extend life in wild mice? Aging Cell 5, 441-449.
• Rikke BA, Battaglia ME, Allison DB, Johnson TE. 2006. Murine weight loss exhibits significant genetic variation during dietary restriction. Physiological Genomics, 27(2):122-30.
• Colman, R. J., Beasley, T. M., Allison, D. B., & Weindruch, R. 2008. Attenuation of Sarcopenia by Dietary Restriction in Rhesus monkeys. Journal of Gerontology. Jun; 63 (6), 556-559. PMCID: PMC2812805.
• Colman, R. J., Anderson, R. M., Johnson, S. C., Kastman, E. K., Kosmatka, K. J., Beasley, T. M., Allison, D. B., Cruzen, C. Simmons, H. A., Kemnitz, J. W., Weindruch, R. 2009. Caloric restriction delays disease onset and mortality in rhesus monkeys. Science. Jul;325(5937), 201-204. PMCID: PMC2812811.
• Smith, D. L., Nagy, T. R., Allison, D. B. 2010. Calorie Restriction: What Recent Results Suggest for the Future of Ageing Research. European Journal of Clinical Investigation. 40(5):440-450. Epub 2010 Apr 20. PMCID: PMC3073505.
• Barger, J. L., Kayo, T., Vann, J. M., Arias, E. B., Wang, J., Hacker, T. A., Wang, Y., Raederstorff, D., Morrow, J. D., Leeuwenburgh, C., Allison, D. B., Saupe, K. W., Cartee, G. D., Weindruch, R., Prolla, T. A. 2008. A low dose of dietary resveratrol partially mimics caloric restriction and retards aging parameters in mice. PLoS ONE, Jun 4;3(6):e2264. PMCID: PMC2386967.
• Smith, D. L., Mattison, J. A., Desmond, R. A., Gardner, J. P., Kimura, M., Roth, G. S., Ingram, D. K., Allison, D. B., Aviv, A. 2011. Telomere Dynamics in Rhesus Monkeys: No Apparent Effect of Caloric Restriction. Journal of Gerontology: Biological Sciences, Nov;66(11):1163-8. PMCID: PMC3193524.
• Austad SN. 2012. Ageing: mixed results for dieting monkeys. Nature, 489, 210-11. PMCID: N/A.
• Willette, A. A., Coe, C. L., Colman, R. J., Bendlin, B. B., Kastman, E. K., Field, A. S., Alexander, A. L., Allison, D. B., Anderson, Weindruch, R. H., & Johnson, S. C. 2012. Calorie restriction reduces psychological stress reactivity and its association with brain volume and microstructure in aged rhesus monkeys. Psychoneuroendocrinology, Jul;37(7):903-16. PMCID: PMC3243474.
• Willette, AA, Bendlin, BB, Colman, RJ, Kastman, EK, Field, AS, Alexander, AL, Sridharan, A., Allison, DB, Anderson, R., Voytko, ML, Kemnitz, JW, Weindruch, RH, Johnson, SC. 2012. Calorie restriction reduces the influence of glucoregulatory dysfunction on regional brain volume in aged rhesus monkeys. Diabetes, May;61(5):1036-42.
• Kaiser, K. A., Smith, D. L., & Allison, D. B. 2012. Conjectures on Some Curious Connections Among Social Status, Calorie Restriction, Hunger, Fatness, and Longevity. Annals of the New York Academy of Sciences, Aug;1264(1):1-12.
• Mattison, J. A., Roth, G. S., Beasley, T. M., Tilmont, E. M., Handy, A. H., Herbert, R. L., Longo, D. L., Allison, D. B., Young, J. E., Bryant, M., Barnard, D., Ward, W. F., Qi, W., Ingram, D. K., de Cabo, R. 2012. Impact of caloric restriction on health and survival in rhesus monkeys: the NIA study. Nature. Published online 29 August 2012. doi:10.1038/nature11432.
• Colman, R.J. , Mark Beasley, T., Allison, D.B., Weindruch, R. 2012. Skeletal effects of long-term caloric restriction in rhesus monkeys. Age. (34) 5, October 2012; 1133-1143.
• Dhurandhar, E. J., Allison, D. B., van Groen, T., & Kadish, I. 2013. Hunger in the Absence of Caloric Restriction Improves Cognition and Attenuates Alzheimer's Disease Pathology in a Mouse Model. PLoS One, 8(4):e60437. doi: 10.1371/journal.pone.0060437. Epub 2013 Apr 2.
• Willette AA, Coe CL, Birdsill AC, Bendlin BB, Colman RJ, Alexander AL, Allison DB, Weindruch RH, Johnson SC. 2013. Interleukin-8 and interleukin-10, brain volume and microstructure, and the influence of calorie restriction in old rhesus macaques. Age (Dordr). 2013 Dec;35(6):2215-27. doi: 10.1007/s11357-013-9518-y. Epub 2013 Mar 6.

Download Energetics and Aging Library (Doc)

• Austad, S.N. and K.E. Fischer. 1991. Mammalian aging, metabolism, and ecology: evidence from the bats and marsupials. Journal of Gerontology 46:B47-B53.
• Austad, S.N. & K.E. Fischer. 1992. Primate longevity: its place in the mammalian scheme. American Journal of Primatology 28: 251-261.
• Heshka, S., Feld, K., Yang, M., Allison, D. B., & Heymsfield, S. B. 1993. Resting Energy Expenditure in The Obese: A Cross-validation and Comparison of Prediction Equations. Journal of the American Dietetic Association, 93, 1031-1036.
• Penn, I., Wang, Z., Buhl, K. M., Allison, D. B., Burastero, S. E., & Heymsfield, S. B. 1994. Body Composition and Two-Compartment Model Assumptions in Male Recreational Runners. Medicine and Science in Sports and Exercise, 26, 392-397.
• Mazariegos, M., Wang, Z., Gallagher, D., Baumgartner, R. N., Allison, D. B., Wang, J., Pierson, R. N., & Heymsfield, S. B. (1994). Differences between young and old females in the five levels of body composition and their relevance to the two-compartment chemical model. Journal of Gerontology, 49, M201-M208.
• Goran, M. I., Allison, D. B., & Poehlman, E. T. (1995). Issues relating to normalization of body fat content in men and women. International Journal of Obesity, 19, 638-643.
• Allison, D. B., Faith, M. S., Heo, M., & Kotler, D. P. (1997). A hypothesis concerning the U-shaped relationship between BMI and mortality. American Journal of Epidemiology, 146, 339-49.
• Dhurandhar, N. V., Schoeller, D., Brown, A. W., Heymsfield, S. B., Thomas, D., Sørensen, T. I. A., Speakman, J. R., Jeansonne, M., Allison, D. B., & the Energy Balance Measurement Working Group. (2014). Energy Balance Measurement: When Something is Not Better than Nothing. International Journal of Obesity.

Download Evolution, Comparative Biology, and Aging Library (Doc)

• Austad, S.N. 1993. The comparative perspective and choice of animal models in aging research. AGING, Clinical and Experimental Research 5:259-267.
• Austad, S.N. 1993. Retarded aging rate in an insular population of opossums. Journal of Zoology 229: 695-708.
• Austad, S.N. 1994. Menopause: an evolutionary perspective. Experimental Gerontology 29: 255-263.
• Holmes, D.H. & S.N. Austad. 1994. Fly now, die later: life history correlates of flying and gliding in mammals. Journal of Mammalogy 75:224-226.
• Holmes, D.J. & S. N. Austad. 1995. The evolution of avian senescence patterns: implications for understanding primary aging processes. American Zoologist 35: 307-317.
• Holmes, D.J. and S.N. Austad. 1995. Birds as animal models for the comparative biology of aging: a prospectus. Journals of Gerontology 50A: B59-B66.
• Austad, S.N. 1996. The uses of intraspecific variation in aging research. Experimental Gerontology 31: 453-463.
• Austad, S.N. 1997. Postreproductive survival and the role of the elderly in nature. In Between Zeus and the Salmon: The Biodemography of Longevity. K.W. Wachter and C.E. Finch (eds.). National Academy Press: Washington, DC. pp. 161-174.
• Austad, S.N. & Holmes, D.J. 1998. Evolutionary approaches to probing aging mechanisms. In Methods in Aging Research, B.P. Yu (ed.). CRC Press, Boca Raton, FL. pp. 437-452.
• Austad, S.N. 1997. Comparative aging and life histories in mammals. Experimental Gerontology 32:23-38.
• Kirkwood, T.B.L & Austad, S.N. 2000. Why do we age? Nature 408: 233-238.
• Austad, S.N. 2001. Concepts and theories of aging. In Handbook of the Biology of Aging, 5th Edition. Masoro, E.J. & Austad, S.N. (Eds.) San Diego, CA: Academic Press. p. 3-22.
• Holmes, D.J., Flückiger, R., Austad, S.N. 2001. Comparative biology of aging in birds: an update. Experimental Gerontology 36: 849-83.
• Austad, S.N. (2001). The comparative biology of aging. In V.J. Cristofalo & R. Adelman (Eds.). Annual Review of Gerontology and Geriatrics. Vol. 21. Modern Topics in the Biology of Aging. Springer: New York. pp. 19-40.
• Brunet-Rossinni AK, Austad SN. 2004. Ageing studies on bats: a review. Biogerontology, 5, 211-222.
• Austad, SN. 2005. Diverse aging rates in metazoans: targets for functional genomics. Mechanisms of Ageing and Development, 126, 43-49.
• Podlutsky, AJ, Khritankov, AM, Ovodov, ND, Austad, SN. 2005. A new field record for bat longevity. Journals of Gerontology: Biological Sciences 60(11):1366-1368.
• Miller, RA, Austad, SN. 2006. Growth and aging: why do big dogs die young? In Handbook of the Biology of Aging, 6th Ed. Masoro, EJ & Austad, SN (eds.). Academic Press, San Diego, CA. pp. 512-533.
• Brunet-Rossinni, AK, Austad, SN. 2006. Senescence in natural populations of mammals and birds. In Handbook of the Biology of Aging, 6th Ed. Masoro, EJ & Austad, SN (eds.). Academic Press, San Diego.
• Austad, SN. 2006. Patterns in mammalian aging: demography and evolution. Robine, J-M., Crimmins, E., Horiuchi, S., Yi, Z. (eds). Longevity, Individual Life Duration, and the Growth of the Oldest-Old Population. Springer Publ., Dordrecht, Netherlands. Pp. 43-55.
• Austad, S.N. 2008. Making sense of biological theories of aging. In Handbook of theories of aging, 2nd Ed. Bengtson VL, Gans D, Putney NM, Silverstein M (eds). Springer Publ., New York. Ch. 8, 147-162. Diego, CA. pp. 243-265.
• Austad, SN & Kirkwood, TBL. (2008). Evolutionary theory in aging research. In The Molecular Biology of Aging. L. Guarente, L. Partridge, D.C. Wallace (eds). Cold Spring Harbor Press, Cold Spring Harbor, NY. Pp. 95-111.
• Austad, SN, Finch, CE. 2008. The evolutionary context of human aging and degenerative disease. In SC Stearns & JC Koella (eds). Evolution in health and disease, 2nd Edition. Oxford University Press: Oxford, UK. pp. 301-311.
• Austad, S.N. (2009). Comparative biology of aging. Journals of Gerontology: Biological Sciences 64(2) 199-201.
• Austad SN (2010). Animal size, metabolic rate, and survival, among and within species. In Comparative Biology of Aging, N.S. Wolf (ed). Springer Science & Business Media, New York. pp. 27-42.
• Austad SN. (2010). Cats, “rats,” and bats: the comparative biology of aging in the 21st century. Integrative & Comparative Biology 50(5), 783-792.
• Miller RA, Williams JB, Kiklevich JV, Austad SN, Harper JM. (2011). Comparative cellular biogerontology: primer and prospectus. Ageing Research Reviews 10(2), 181-190.
• Finch CE, Austad SN. (2012). Primate aging in the mammalian scheme: the puzzle of extreme variation in brain aging. Age, 34, 1075-91. PMC3448989.
• Anson RM, Willcox B, Austad S, Perls T. (2012). Within- and between-species study of extreme longevity – comments, commonalities, and goals. Journals of Gerontology Series A Biological and Medical Sciences 67, 347-350. PMC3309878.
• Nussey DH, Froy H, Lemaitre J-F, Gaillard J-M, Austad SN (2013) Senescence in natural populations of animals: widespread evidence and its implications for biogerontology. Aging Research Reviews 12, 214-225. PMCID: PMC4246505.
• Finch CE & Austad SN. (2014). Primate models for human brain aging and neurological diseases (Chapter 5). In Annual Review of Gerontology and Geriatrics – Genetics. Vol. 34. R.L. Sprott (ed.). Springer: New York. pp. 139-70.
• Austad SN. (2014). The evolutionary basis of aging (Chapter 2). In Molecular & Cellular Biology of Aging. J. Vijg, J. Campisi, & G. Lithgow (eds). The Gerontological Society of America: Washington DC, USA. pp. 15-48.
• Finch CE & Austad SN. (2015). Commentary: Is Alzheimer’s disease uniquely human? Neurobiology of Aging 36(2), 553-55. PMC4394838.
• Pride H, Sunchu B, Mochnick J, Coles A, Zhang Y, Buffenstein R, Hornsby PJ, Austad SN, Pérez VI. (2015). Long-lived species have improved proteostasis compared to phylogenetically-related shorter-lived species. Biochemical and Biophysical Research Communications 457(4), 669-75. PMCID: in process.
• Creevy K, Austad SN, Hoffman J, O’Neill D, Promislow DEL (2015). The Companion Dog as a Model for the Longevity Dividend. In The Longevity Dividend, Olshansky SJ, Kirkland J, and Martin GM (eds). Cold Spring Harbor Laboratory Press: Cold Spring Harbor, NY.

Download Genetics and Genomics Library (Doc)

• Allison, D. B., & Faith, M. S. (1997). A proposed heuristic for communicating heritability estimates to the general public with obesity as an example. Behavior Genetics, 27, 441-445.
• Allison, D. B. & Schork, N. J. (1997). Selected methodological issues in meiotic mapping of obesity genes in humans: Issues of power and efficiency. Behavior Genetics, 27, 401-421.
• Allison, D. B., & Heo, M. (1998). Meta-analysis of linkage studies under “worst-case” conditions: A demonstration using the human Ob gene region. Genetics, 148, 859-865.
• Allison, D. B., Heo, M., Schork, N. J., Wong, S. -L., & Elston, R. C. (1998). Extreme selection strategies in gene mapping studies of oligogenic quantitative traits do not always increase power. Human Heredity, 48, 97-107.
• Allison, D. B. & Beasley, M. (1998). A Method and Computer Program for Controlling the Family-wise Alpha Rate in Gene Association Studies Involving Multiple Phenotypes. Genetic Epidemiology, 15, 87-101.
• Allison, D. B., Thiel, B., St. Jean, P., Elston, R. C., Infante, M., & Schork, N. J. (1998). Multiple Phenotype Modeling in Gene Mapping Studies of Quantitative Traits: Power Advantages. American Journal of Human Genetics, 63, 1190-1201.
• Allison, D. B., Neale, M. C., Zannolli, R. Z., Schork, N. J., Amos, C. I., & Blangero, J. (1999). Testing The Robustness Of The Likelihood Ratio Test In A Variance-Component Quantitative Trait Loci (QTL) Mapping Procedure. American Journal of Human Genetics, 65, 531-544.
• Allison, D. B., Fernandez, J., Heo, M., & Beasley, T. M. (2000). Testing The Robustness Of The New Haseman-Elston Quantitative Trait Loci (QTL) Mapping Procedure. American Journal of Human Genetics, 67, 249-252.
• Allison, D. B., & Neale, M. C. (2001). Joint Tests of Linkage & Association for Quantitative Traits. Theoretical Population Biology, 60, 239-251.
• Allison, D. B., Beasley, T. M., Fernandez, J., Heo, M., Zhu, S., Etzel, C., & Amos, C.I. (2002). Bias in Estimates of Quantitative-Trait-Locus Effect in Genome Scans: Demonstration of the Phenomenon and a Method-of-Moments Procedure for Reducing Bias. American Journal of Human Genetics, 70, 575-585.
• Heo, M., Faith, M. S., & Allison, D. B. (2002). Power and sample sizes for linkage with extreme sampling under an oligogenic model for quantitative traits. Behavior Genetics, 32, 23-36.
• Fernandez, J. R., Etzel, C., Beasley, M., Shete, S., Amos, C. I., & Allison, D. B. (2002). Improving the power of sib-pair quantitative trait loci (QTL) detection by phenotype winsorization. Human Heredity, 53, 59-67.
• Allison, D. B. & Coffey, C. S. (2002). Two-stage testing in microarray analysis: What is gained? Journal of Gerontology, Biological Sciences, 57A, B189-B192.
• Allison, D. B., Gadbury, G., Heo, M, Fernandez, J, Lee, C-K, Prolla, T. A., & Weindruch, R. (2002). A Mixture Model Approach For The Analysis Of Microarray Gene Expression Data. Computational Statistics & Data Analysis, 39, 1-20.
• Gadbury, G. L., Page, G. P., Heo, M., Mountz, J. D., & Allison, D. B. (2003). Randomization tests for small samples: An application for genetic expression data. Journal of the Royal Statistical Society: Series C: Applied Statistics, 52(3), 365-376.
• Yi, N., George, V., & Allison, D. B. (2003). Stochastic search variable selection for identifying multiple quantitative trait loci. Genetics, 164(3):1129-38.
• Etzel, C. J., Shete, S., Beasley, T. M., Fernandez, J. R., Allison, D. B., & Amos, C. I. (2003). Effect of Box-Cox Transformation on Power of Haseman-Elston and Maximum-Likelihood Variance Components Tests to Detect Quantitative Trait Loci. Human Heredity, 55, 108-116.
• Yi, N., Xu, S., & Allison, D. B. (2003). Bayesian Model Choice and Search Strategies for Mapping Interacting Quantitative Trait Loci. Genetics, 165: 867-883.
• Page, G. P., Edwards, J. W., Barnes, S., Weindruch, R., Allison, D. B. (2003). A Design & Statistical Perspective on Microarray Gene Expression Studies in Nutrition: The Need for Playful Creativity and Scientific Hard-Mindedness. Nutrition, 19, 997-1000.
• Page, G. P., George, V., Go, R. C., Page, P. Z., & Allison, D. B. (2003). “Are We There Yet?”: Deciding when one has demonstrated specific genetic causation in complex diseases and quantitative traits. American Journal of Human Genetics, 73: 711–719.
• Yi, N., Xu, S., George, V., & Allison, D. B. (2004). Mapping Multiple Quantitative Trait Loci for Ordinal Traits. Behavior Genetics, 34, 3-15.
• Shete, S., Beasley, M., Etzel, C., Fernández, J. F., Chen, J., Allison, D. B., & Amos, C. I. (2004). Effect of Winsorization on Power and Type 1 Error of Variance Components and Related Methods of QTL Detection. Behavior Genetics, 34, 153-159.
• Beasley, T. M., Page, G. P., Brand, J. P. L., Gadbury, G. L., Mountz, J. D., & Allison, D. B. (2004). Chebyshev’s Inequality for Non-parametric Testing with Small N and α in Microarray Research. Journal of the Royal Statistical Society: Series C: Applied Statistics, 53, 95-108.
• Yang D., Zakharkin S. O., Page G. P., Brand J. P., Edwards J. W., Bartolucci A. A., & Allison D. B. (2004). Applications of Bayesian statistical methods in microarray data analysis. American Journal of Pharmacogenomics, 4, 53-62.
• Beasley, T. M., Yang, D., Yi, N., Bullard, D. C., Travis, E. L., Amos, C. I., Xu, S., & Allison, D. B. (2004). Joint Tests for Quantitative Trait Loci in Experimental Crosses. Genetics Selection Evolution, 36, 601-619.
• Tiwari, H. K., Holt, J., George, V., Beasley, T. M., Amos, C. I., & Allison, D. B. (2005). New Joint Covariance- and Marginal-based Tests for Association & Linkage for Quantitative Traits for random and non-random sampling. Genetic Epidemiology, 28, 48-57.
• Edwards, J. W., Page, G. P., Gadbury, G., Heo, M., Kayo, T., Weindruch, R., & Allison, D. B. (2005). Empirical Bayes (EB) Estimation of Gene-Specific Effects in Microarray Research. Functional & Integrative Genomics, 5, 32-39.
• Trivedi, P., Edwards, J. W., Wang, J., Zakharkin, S.O., Gadbury, G.L., Srinivasasainagendra, V., Kim, K., Brand, J. P. L., Mehta, T., Patki, A., Page, G. P., Allison, D.B. (2005). HDBStat!: A platform-independent software suite for statistical analysis of high dimensional biology data. BMC Bioinformatics, 6, 86 (10 pages in length).
• Beasley TM, Holt JK, Allison DB. (2005). Comparison of linear weighting schemes for perfect match and mismatch gene expression levels from microarray data. American Journal of Pharmacogenomics, 5(3):197-205.
• Garge NR, Page GP, Sprague AP, Gorman BS, Allison DB. (2005). Reproducible clusters from microarray research: whither? BMC Bioinformatics, Jul 15;6 Suppl 2:S10.
• Beasley, T. M., Wiener, H., Zhang, K., Bartolucci, A. A., Amos, C. I., & Allison, D. B. (2005). Empirical Bayes Method for Incorporating Data from Multiple Genome Scans. Human Heredity, 60: 36-42.
• Yi, N., Yandell, B. S., Churchill, G. A., Allison, D. B., Eisen, E. J., & Pomp, D. (2005). Bayesian Model Selection for Genome-Wide Epistatic QTL Analysis. Genetics, 170(3):1333-44.
• Yi N, Zinniel DK, Kim, K, Eisen EJ, Bartolucci A, Allison DB, Pomp D. (2006). Bayesian analyses of multiple epistatic QTL models for body weight and Composition in Mice. Genetics, 87(1):45-60.
• Kim, K., Page, G. P., Beasley, T. M., Barnes, S., Scheirer, K. E., & Allison, D. B. (2006). A Proposed Metric for Assessing the Measurement Quality of Individual Microarrays. BMC Bioinformatics, Jan 23;7:35.
• Page, G. P., Edwards, J., W., Yelisetti, P., Wang, J., Trivedi, P., & Allison, D. B. (2006). The PowerAtlas: A Power and Sample Size Atlas for Microarray Experimental Design and Research. BMC Bioinformatics, Feb 22;7:84.
• Allison, D. B., Cui, X., Page, G. P, & Sabripour, M. (2006). Microarray Data Analysis: From Dis-array to Consolidation & Consensus. Nature Reviews Genetics, 7, 55-65.
• Zhang, K., Wiener, H., Beasley, T. M., George, V., Amos, C. I., & Allison, D. B. (2006). An Empirical Bayes Method for Updating Inferences in Analysis of Quantitative Trait Loci Using Information from Related Genome Scans. Genetics, 173(4):2283-96.
• Zakharkin SO, Kim K, Bartolucci AA, Page GP, and Allison DB. (2006). Optimal Allocation of Replicates for Measurement Evaluation Studies. Genomics, Proteomics & Bioinformatics, 4(3),196-202.
• Mehta, T., Zakharkin, S., Gadbury, G. L., & Allison, D. B. (2006). Epistemological Issues in Omics and High-Dimensional Biology: Give the People What They Want. Physiological Genomics, 28 (1): 24-32.
• Brand, J. P. L., Chen, L., Cui, X., Bartolucci, A. A., Page, G. P., Kim, K., Barnes, S., Srinivasasainagendra, V., Beasley, T. M., & Allison, D. B. (2007). An Adaptive Alpha spending Algorithm Improves the Power of Statistical Inference in Microarray Data Analysis. Bioinformatician, 1(10): 384-389. Also available here.
• Divers, J., Vaughan, L. K., Padilla, M., Fernandez, J. R., Allison, D. B., & Redden, D. T. (2007). Correcting for measurement error in individual ancestry estimates in structured association tests. Genetics. July 176(3):1823-33. Epub 2007 May 16.
• Tuncer Y, Tanik MM, & Allison DB. (2008). An overview of statistical decomposition techniques applied to complex systems. Computational Statistics and Data Analysis, 52(5): 2292-2310. PMCID: PMC2735056.
• Tiwari, H. K., Barnholtz-Sloan, J., Wineinger, N., Padilla, M. A., Vaughan, L. K., & Allison, D. B. (2008). Review and evaluation of methods correcting for population stratification with a focus on underlying statistical principles. Human Heredity. 66(2):67-86. Epub 2008 Mar 31. PMCID: PMC2803696.
• Gadbury GL, Xiang Q, Yang L, Barnes S, Page GP, Allison DB. (2008). Evaluating Statistical Methods Using Plasmode Data Sets in the Age of Massive Public Databases: An Illustration using False Discovery Rates. PLoS Genetics, Jun 20;4(6):e1000098. PMCID: PMC2409977.
• Gao, G., Allison, D.B., Hoeschele, I. (2009). Haplotyping Methods for Pedigrees. Human Heredity, Jan 27;67(4):248-266. Epub 2009 Jan. PMCID: PMC2692835.
• Ioannidis, J. P. A., Allison, D. B., Ball, C. A., Coulibaly, I., Cui, X., Culhane, A. C., Falchi, M., Furlanello, C., Game, L., Jurman, G., Mehta, T., Mangion, J., Nitzberg, M., Page, G. P., Petretto, E., van Noort, V. (2009). Repeatability of published microarray gene expression analyses. Nature Genetics, Feb;41(2):149-55. Epub 2008 Jan. (No NIH Support)
• Baye, T. M., Tiwari, H. K., Allison, D. B., & Go, R. C. (2009). Database Mining for Selection of SNP Markers Useful in Admixture Mapping. BioData Mining, Feb 14;2(1):1. PMCID: PMC2649128.
• Allison, D. B., Visscher, P. M., Rosa, G. J. M., & Amos, C. I. (2009). Statistical Genetics & Statistical Genomics: Where Biology, Epistemology, Statistics, and Computation Collide. Computational Statistics and Data Analysis. Mar 15;53(5), 1531-1534 [editorial]. Epub 2009 Jan.
• Kang, GL., Ye K., Liu, N., Allison, D.B., & Gao, G. (2009). Weighted Multiple Hypothesis Testing Procedures. Statistical Applications in Genetics and Molecular Biology, 8(1): Article 23. Epub 2009 Apr. PMCID: PMC2703613.
• Padilla, M.A., Divers, J., Vaughan, L.K., Allison, D.B., Tiwari, H.K. (2009). Multiple Imputation to Correct for Measurement Error in Admixture Estimates in Genetic Structured Association Testing. Human Heredity, 68(1):65-72. Epub 2009 Apr. PMCID: PMC2716289.
• Gadbury GL, Garrett KA, Allison DB. (2009). Challenges and approaches to statistical design and inference in high-dimensional investigations. Methods Mol. Biol. 2009;553:181-206.
• Bangalore, S. S., Wang, J., & Allison, D. B. (2009). How Accurate Are The Extremely Small P-Values in Genomic Research: An Evaluation of Numerical Libraries. Computational Statistics & Data Analysis, May 15;53(7), 2446-2452. PMCID: PMC2742983.
• Liu N, Zhao H, Patki A, Limdi NA, and Allison DB. (2011). Controlling population structure in human genetic association studies with samples of unrelated individuals. Statistics and Its Interface. 4(3) 317-326.
• Divers J, Redden DT, Carroll RJ, and Allison DB. (2011). How to estimate the measurement error variance associated with ancestry proportion estimates. Statistics and Its Interface. 4(3) 327-337.
• Tiwari HK, Birkner T, Moondan A, Zhang S, Page GP, Patki A, and Allison DB. (2011). Accurate and flexible power calculations on the spot: applications to genomic research. Statistics and Its Interface. 4(3) 353–358. PMCID: PMC3196559
• Gao, G., Kang, G., Wang, J., Chen, W., Qin, H., Jiang, B., Li, Q., Sun, C., Liu, N., Archer, K. J., & Allison, D. B. (2012). A generalized sequential Bonferroni procedure using smoothed weights for genome-wide association studies incorporating information on Hardy-Weinberg disequilibrium among cases. Human Heredity, 2012;73(1):1-13.

Download Mechanisms of Aging Library (Doc)

• Martin, G.M., Austad, S.N., & Johnson, T.E. 1996. Genetic analysis of ageing: role of oxidative damage and environmental stresses. Nature Genetics 13:25-34.
• Ogburn, C.E.; Austad, S.N.; Holmes, D.J.; Kiklevich, J.V., Gollahon, K.; Rabinovitch, P.S., and Martin, G.M. 1998. Cultured renal epithelial cells from birds and mice: enhanced resistance of avian cells to oxidative stress and DNA damage. J. Gerontol. Biol. Sci. 53A: B287-B292.
• Hamilton M.L., Guo Z.M., Fuller C.D., Ward, W.F., Austad, S.N., Troyer, D.A., Van Remmen, H., & Richardson, A. (2001). A reliable assessment of 8-oxo-2-deoxyguanosine levels in nuclear and mitochondrial DNA using the sodium iodide method to isolate DNA. Nucleic Acids Research 29, 2117-2126.
• Holmes DJ; Austad SN. 2004. Declining immunity with age in the wild? Evidence from bird populations. Sci. Aging Knowl. Environ. (21), pe22.
• Austad, SN. 2004. Is aging programmed? Aging Cell 3: 249-251.
• Lorenzini, A, Tresini, M, Austad, SN, Cristofalo, VJ. 2005. Cellular replicative capacity correlates primarily with species body mass not longevity. Mechanisms of Ageing and Development, 126, 1130-33.
• Yuan, R, Flurkey, K, Van Aelst-Bouma, R, Zhang, W, King, B, Austad, S, Miller, RA, Harrison, DE. 2006. Altered growth characteristics of skin fibroblasts from wild-derived mice, and genetic loci regulating fibroblast clone size. Aging Cell 5, 203-212.
• Magalhães, JP; Sedivy, JM; Finch, CE; Austad, SN; Church, GM. 2007. A proposal to sequence genomes of unique interest for research on aging. Journal of Gerontology: Biological Sciences 62A, 583-84.
• Csiszar A, Labinskyy N, Zhao X, Hu F, Serpillon S, Huang Z, Ballabh P, Levy RJ Hintze TH, Wolin MS, Austad SN, Podlutsky A, Ungvari Z. (2007). Vascular superoxide and hydrogen peroxide production and oxidative stress resistance in two closely related rodent species with disparate longevity. Aging Cell 6: 783-97.
• Lambert, AJ; Boysen, HM; Buckingham, JA; Yang, T; Podlutsky, A; Austad, SN; Kunz, TH; Buffenstein, R; Brand, MD. 2007. Low rates of hydrogen peroxide production by isolated heart mitochondria associate with long maximum lifespan in vertebrate homeotherms. Aging Cell 6: 607-618.
• Csiszar A, Labinskyy N, Perez V, Recchia FA, Podlutsky A, Mukhopadhyay P, Losonczy G, Austad SN, Bartke A, Ungvari Z. 2008. Endothelial function and vascular oxidative stress in long-lived GH/IGF-deficient Ames dwarf mice. American Journal of Physiology: Heart Circulatory Physiology 295, H1882-94.
• Labinskyy N, Mukhopadhyay P, Toth J, Szalai G, Veres M, Losonczy G, Pinto JT, Pacher P, Ballabh P, Podlutsky A, Austad SN, Csiszar A, Ungvari Z. (2009). Longevity is associated with increased vascular resistance to high glucose-induced oxidative stress and inflammatory gene expression in Peromyscus leucopus. Am. J. Physiol. Heart Circ. Physiol. 296(4):H946-56.
• Sloane LB, Stout JT, Austad SN, McClearn GE. (2010). Tail tendon break time: a biomarker of aging? Journals of Gerontology: Biological Sciences and Medical Sciences 66, 287-94. PMC3041475.
• Bhattacharya A, Leonard S, Tardif S, Buffenstein R, Fischer KE, Richardson A, Austad SN, Chaudhuri AR. (2011). Attenuation of liver insoluble protein carbonyls: indicator of a longevity determinant? Aging Cell 10, 720-23.
• Gomes NM, Ryder PA, Houck ML, Charter SJ, Walker W, Forsyth NR, Austad SN, Venditti C, Pagel M, Shay JW, Wright WE. (2011). Comparative biology of mammalian telomeres: hypotheses on ancestral states and the roles of telomeres in longevity determination. Aging Cell 10, 761-68. (Aging Cell 2011 Runner-up Best Paper Prize). PMC3387546.
• Ungvari Z, Csiszar A, Sosnowska D, Philipp EE, Campbell CM, McQuary PR, Chow TT, Coelho M, Didier ES, Gelino S, Holmbeck MA, Kim I Levy E, Sonntag WE, Whitby PW, Austad SN, Ridgway I. (2013). Testing predictions of the oxidative stress hypothesis of aging using a novel invertebrate model of longevity: the giant clam (Tridacna derasa). J. Gerontol. A Biol Sci Med Sci. 68(4), 359-67. PMC3732095.
• Liu M, Xiang R, Wilk SA, Zhang N, Sloane LB, Azarnoush K, Zhou L, Chen H, Xiang G, Walter CA, Austad SN, Musi N, Defronzo RA, Asmis R, Scherer PE, Dong LQ, Liu F. (2012). Fat-Specific DsbA-L Overexpression Promotes Adiponectin Multimerization and Protects Mice From Diet-Induced Obesity and Insulin Resistance. Diabetes 61, 2776-86. PMC3478538.
• Halloran J, Hussong S, Burbank R, Podlutskaya N, Fischer K, Sloane L, Austad SN, Strong R, Richardson A, Hart M, Galvan V. (2012). Chronic inhibition of mammalian target of rapamycin by rapamycin modulates cognitive and non-cognitive components of behavior throughout lifespan in mice. Neuroscience, 223, 102-113. PMC3454865.
• Hinojosa CA, Mgbemena B, Van Roekel S, Austad SN, Miller RA, Bose S, Orihuela, CJ. (2012) Enteric-delivered rapamycin enhances resistance of aged mice to pneumococcal pneumonia through reduced cellular senescence. Experimental Gerontology 47(12) 958-65. PMC3490006.
• Elbourkadi N, Austad SN, Miller RA. (2014). Fibroblasts from long-lived species of mammals and birds show delayed, but prolonged, phosphorylation of ERK. Aging Cell 13(2), 283-91. PMC3954945.
• Zhang, Y, Bokov A, Gelfond J, Soto V, Ikeno Y, Hubbard G, Diaz V, Sloane L, Maslin K, Treaster S, Rendon S, VanRemmen H, Ward W, Javors M, Richardson A, Austad SN, Fischer KE. (2014). Rapamycin extends life and health in C57BL/6 mice. Journals of Gerontology: Biological Sciences & Medical Sciences 69(2), 119-30. PMC3954945.
• Shi Y, Pulliam DA, Liu Y, Hamilton RT, Jernigan AL, Bhattacharya A, Sloane LB, Qi W, Chaudhuri A, Buffenstein R, Ungvari ZI, Austad SN, Van Remmen H. (2013). Reduced mitochondrial ROS, enhanced antioxidant defense, and distinct age-related changes in oxidative damage in muscles of Peromyscus leucopus. American Journal of Physiology: Regulatory, Integrative, and Comp Physiology 304(5), R343-55. PMC4116415.
• Gimenez LED, Ghildyal P, Fischer KE, Hu H, Ja WW, Eaton BA, Wu Y, Austad SN, Ranjan R. (2013). Modulation of methuselah expression targeted to Drosophila insulin-producing cells extends life and enhances oxidative stress resistance. Aging Cell 12(1):121-9. PMC3552032.
• Ungvari Z, Sosnowska D, Mason JB, Gruber H, Lee SW, Schwartz TS, Brown MK, Storm NJ, Fortney K, Sowa J, Byrne AB, Kurz T, Levy E, Sonntag WE, Austad SN, Csiszar A, Ridgway I. (2013). Resistance to genotoxic stresses in Arctica islandica, the longest living noncolonial animal: Is extreme longevity associated with a multistress resistance phenotype? Journals of Gerontology Biological Sciences & Medical Sciences 68(5), 521-29. PMC3623481.
• Walsh ME, Sloane LB, Fischer KE, Austad SN, Richardson A, VanRemmen H. (2014). Use of nerve conduction velocity to assess peripheral nerve health in aging mice. Journals of Gerontology Series A: Biological Sciences & Medical Sciences Dec. 3 pii:glu208. (epub ahead of print). PMCID: in process.
• Fischer KE, Gelfond JAL, Soto VY, Han C, Someya S, Richardson A, Austad SN (2015). Health effects of long-term rapamycin treatment: the impact on mouse of of enteric rapamycin treatment from four months of age throughout life. PloS One May 15;10(5):e0126644. doi: 10.1371/journal.pone.0126644.

Download Quantitative Methods Library (Doc)

• Allison, D. B., Gorman, B. S., & Primavera, L. H. (1993). The Most Common Questions Asked of Statistical Consultants: Our Favorite Responses and Recommended Readings. Genetic, Social, and General Psychology Monographs, 119, 153-185.
• Allison, D. B., & Gorman, B. S. (1993). Calculating and Estimating Effect Sizes for Meta-Analysis: The Case of the Single Case. Behaviour Research and Therapy, 31, 621-631.
• Allison, D. B., & Gorman, B. S. (1993). POWCOR: A Power Analysis and Sample Size Program for Testing Differences Between Dependent and Independent Correlations. Educational & Psychological Measurement, 53, 133-137.
• Allison, D. B. (1993). Limitations of the Coefficient of Variation as an Index of Reliability. Nutrition, 9, 559-561.
• Allison, D. B. (1993). A Note on the Selection of Control Groups and Control Variables in Comorbidity Research. Comprehensive Psychiatry, 34, 336-339.
• Allison, D. B. (1995). When is it Worth Measuring a Covariate in a Randomized Clinical Trial? Journal of Consulting and Clinical Psychology, 63, 339-343.
• Allison, D. B., Faith, M. S., Heo, M., Townsend-Butterworth, D., & Williamson, D. F. (1999). Meta-Analysis of the Effect of Excluding Early Deaths on the Estimated Relationship Between Body Mass Index and Mortality. Obesity Research, 7, 342-354.
• Allison, D. B., Gorman, B. S., & Kucera, E. M. (1995). UNICORN: A computer program for transforming data to normality. Educational & Psychological Measurement, 55, 625-629.
• Gorman, B. S., Primavera, L. H., & Allison, D. B. (1995). PowPal: Software for generalized power analysis. Educational and Psychological Measurement, 55, 773-776.
• Allison, D. B., Paultre, F., Maggio, C., Mezzitis, N., & Pi-Sunyer, F. X. (1995). The Use of Areas Under Curves in Diabetes Research. Diabetes Care, 18, 245-250.
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• Gadbury, G. L., Iyer, H. K., & Allison, D. B. (2002). Evaluating subject-treatment interaction when comparing two treatments. Journal of Biopharmaceutical Statistics, 11, 313-333.
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• Gadbury, G. L., Page, G. P., Edwards, J., Kayo, T., Prolla, T. A., Weindruch, R., Permana, P. A., Mountz, J., & Allison, D. B. (2004). Power and Sample Size Estimation in High Dimensional Biology. Statistical Methods in Medical Research, 13: 325-338.
• Mehta, T., Tanik, M. & Allison, D. B. (2004). Toward Sound Epistemological Foundations of Statistical Methods for High Dimensional Biology. Nature Genetics, 36, 943-947.
• Redden, D. T., Divers, J., Vaughan, L. K., Tiwari, H. K., Beasley, T. M., Fernandez, J. R., Kimberly, R. P., Feng, R., Padilla, M., Liu, N., Miller, M. B., Allison, D. B. (2006). Regional admixture mapping and structured association testing: conceptual unification and an extensible general linear model. PloS Genetics, Aug 25;2(8):e137.
• Elobeid, M., Padilla, M., McVie, T., Thomas, O., Brock, D., Musser, B., Lu, K., Coffey, C., Desmond, R., St-Onge, M-P, Gadde, K., Heymsfield, S., Allison, D. (2009). Missing data in randomized clinical trials for weight loss: scope of the problem, state of the field, and performance of statistical methods. PLoS One. Aug; 13;4(8):e6624. PMCID: PMC2720539.
• Hu, X., Gadbury, G. L., Xiang, Q., & Allison, D. B. (2009). Illustrations on Using the Distribution of a P-Value in High Dimensional Data Analyses. Advances and Applications in Statistical Sciences, 1(2),191-213.
• Cope, M., Allison, D.B. (2010). White Hat Bias: A Threat to the Integrity of Scientific Reporting. Acta Paediatrica, Nov;99(11):1615-7.
• Makowsky, R., Beasley, T. M., Gadbury, G. L., Albert, J. M., Kennedy, R. E., & Allison, D. B. (2011). Validity and power of missing data imputation for extreme sampling and terminal measures designs in mediation analysis. Frontiers in Genetics, 2:75. doi: 10.3389/fgene.2011.00075.
• Gadbury, G. L., & Allison, D. B. (2012). Inappropriate Fiddling with Statistical Analyses to Obtain a Desirable P-value: Tests to Detect its Presence in Published Literature. PLoS One, 7(10):e46363. doi: 10.1371/journal.pone.0046363.
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• Brown, A. & Allison, D. B. (2014). Using crowdsourcing to evaluate published scientific literature: Methods and example. PLoS One, 2014 Jul 2;9(7):e100647. doi: 10.1371/journal.pone.0100647.
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• Austad, SN. 2006. Why women live longer than men: sex differences in longevity. Gender Medicine, 3, 79-92.
• Austad SN (2010). Animal models of reproductive aging: what can they tell us? Annals of the New York Academy of Sciences, 1204, 123-126.
• Austad SN. (2011). Sex differences in longevity. In Handbook of the Biology of Aging, 7th Edition. E.J. Masoro and S.N. Austad (eds). Academic Press: San Diego, CA. pp. 479-96.
• Austad SN, Bartke A (2015). Sex differences in longevity and in responses to anti-aging interventions: a minireview. Gerontology. DOI: 10.1159/000381472. May 6 (epub ahead of print). PMCID: in process.
• Austad SN (2015). Commentary: The human prenatal sex ratio: a major surprise. Proceedings of the National Academies of Sciences USA. doi/10.1073/pnas. 1505165112. April 6 (epub ahead of print). PMC4413335.

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