@article {1179, title = {A meta-analysis of four genome-wide association studies of survival to age 90 years or older: the Cohorts for Heart and Aging Research in Genomic Epidemiology Consortium.}, journal = {J Gerontol A Biol Sci Med Sci}, volume = {65}, year = {2010}, month = {2010 May}, pages = {478-87}, abstract = {

BACKGROUND: Genome-wide association studies (GWAS) may yield insights into longevity.

METHODS: We performed a meta-analysis of GWAS in Caucasians from four prospective cohort studies: the Age, Gene/Environment Susceptibility-Reykjavik Study, the Cardiovascular Health Study, the Framingham Heart Study, and the Rotterdam Study participating in the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium. Longevity was defined as survival to age 90 years or older (n = 1,836); the comparison group comprised cohort members who died between the ages of 55 and 80 years (n = 1,955). In a second discovery stage, additional genotyping was conducted in the Leiden Longevity Study cohort and the Danish 1905 cohort.

RESULTS: There were 273 single-nucleotide polymorphism (SNP) associations with p < .0001, but none reached the prespecified significance level of 5 x 10(-8). Of the most significant SNPs, 24 were independent signals, and 16 of these SNPs were successfully genotyped in the second discovery stage, with one association for rs9664222, reaching 6.77 x 10(-7) for the combined meta-analysis of CHARGE and the stage 2 cohorts. The SNP lies in a region near MINPP1 (chromosome 10), a well-conserved gene involved in regulation of cellular proliferation. The minor allele was associated with lower odds of survival past age 90 (odds ratio = 0.82). Associations of interest in a homologue of the longevity assurance gene (LASS3) and PAPPA2 were not strengthened in the second stage.

CONCLUSION: Survival studies of larger size or more extreme or specific phenotypes may support or refine these initial findings.

}, keywords = {Adult, Age Factors, Aged, Aged, 80 and over, Alleles, Cohort Studies, Confidence Intervals, Female, Genome-Wide Association Study, Genotype, Humans, Longevity, Male, Middle Aged, Odds Ratio, Polymorphism, Single Nucleotide}, issn = {1758-535X}, doi = {10.1093/gerona/glq028}, author = {Newman, Anne B and Walter, Stefan and Lunetta, Kathryn L and Garcia, Melissa E and Slagboom, P Eline and Christensen, Kaare and Arnold, Alice M and Aspelund, Thor and Aulchenko, Yurii S and Benjamin, Emelia J and Christiansen, Lene and D{\textquoteright}Agostino, Ralph B and Fitzpatrick, Annette L and Franceschini, Nora and Glazer, Nicole L and Gudnason, Vilmundur and Hofman, Albert and Kaplan, Robert and Karasik, David and Kelly-Hayes, Margaret and Kiel, Douglas P and Launer, Lenore J and Marciante, Kristin D and Massaro, Joseph M and Miljkovic, Iva and Nalls, Michael A and Hernandez, Dena and Psaty, Bruce M and Rivadeneira, Fernando and Rotter, Jerome and Seshadri, Sudha and Smith, Albert V and Taylor, Kent D and Tiemeier, Henning and Uh, Hae-Won and Uitterlinden, Andr{\'e} G and Vaupel, James W and Walston, Jeremy and Westendorp, Rudi G J and Harris, Tamara B and Lumley, Thomas and van Duijn, Cornelia M and Murabito, Joanne M} } @article {1263, title = {Health and function of participants in the Long Life Family Study: A comparison with other cohorts.}, journal = {Aging (Albany NY)}, volume = {3}, year = {2011}, month = {2011 Jan}, pages = {63-76}, abstract = {

Individuals from families recruited for the Long Life Family Study (LLFS) (n= 4559) were examined and compared to individuals from other cohorts to determine whether the recruitment targeting longevity resulted in a cohort of individuals with better health and function. Other cohorts with similar data included the Cardiovascular Health Study, the Framingham Heart Study, and the New England Centenarian Study. Diabetes, chronic pulmonary disease and peripheral artery disease tended to be less common in LLFS probands and offspring compared to similar aged persons in the other cohorts. Pulse pressure and triglycerides were lower, high density lipids were higher, and a perceptual speed task and gait speed were better in LLFS. Age-specific comparisons showed differences that would be consistent with a higher peak, later onset of decline or slower rate of change across age in LLFS participants. These findings suggest several priority phenotypes for inclusion in future genetic analysis to identify loci contributing to exceptional survival.

}, keywords = {Aged, Aged, 80 and over, Aging, Blood Pressure, Cardiovascular Diseases, Cohort Studies, Female, Gait, Humans, Longevity, Male, Middle Aged, Psychomotor Performance, Research Design}, issn = {1945-4589}, doi = {10.18632/aging.100242}, author = {Newman, Anne B and Glynn, Nancy W and Taylor, Christopher A and Sebastiani, Paola and Perls, Thomas T and Mayeux, Richard and Christensen, Kaare and Zmuda, Joseph M and Barral, Sandra and Lee, Joseph H and Simonsick, Eleanor M and Walston, Jeremy D and Yashin, Anatoli I and Hadley, Evan} } @article {6246, title = {Gender and telomere length: systematic review and meta-analysis.}, journal = {Exp Gerontol}, volume = {51}, year = {2014}, month = {2014 Mar}, pages = {15-27}, abstract = {

BACKGROUND: It is widely believed that females have longer telomeres than males, although results from studies have been contradictory.

METHODS: We carried out a systematic review and meta-analyses to test the hypothesis that in humans, females have longer telomeres than males and that this association becomes stronger with increasing age. Searches were conducted in EMBASE and MEDLINE (by November 2009) and additional datasets were obtained from study investigators. Eligible observational studies measured telomeres for both females and males of any age, had a minimum sample size of 100 and included participants not part of a diseased group. We calculated summary estimates using random-effects meta-analyses. Heterogeneity between studies was investigated using sub-group analysis and meta-regression.

RESULTS: Meta-analyses from 36 cohorts (36,230 participants) showed that on average females had longer telomeres than males (standardised difference in telomere length between females and males 0.090, 95\% CI 0.015, 0.166; age-adjusted). There was little evidence that these associations varied by age group (p=1.00) or cell type (p=0.29). However, the size of this difference did vary by measurement methods, with only Southern blot but neither real-time PCR nor Flow-FISH showing a significant difference. This difference was not associated with random measurement error.

CONCLUSIONS: Telomere length is longer in females than males, although this difference was not universally found in studies that did not use Southern blot methods. Further research on explanations for the methodological differences is required.

}, keywords = {Adult, Aged, Aged, 80 and over, Aging, Female, Humans, Male, Middle Aged, Sex Factors, Telomere}, issn = {1873-6815}, doi = {10.1016/j.exger.2013.12.004}, author = {Gardner, Michael and Bann, David and Wiley, Laura and Cooper, Rachel and Hardy, Rebecca and Nitsch, Dorothea and Martin-Ruiz, Carmen and Shiels, Paul and Sayer, Avan Aihie and Barbieri, Michelangela and Bekaert, Sofie and Bischoff, Claus and Brooks-Wilson, Angela and Chen, Wei and Cooper, Cyrus and Christensen, Kaare and De Meyer, Tim and Deary, Ian and Der, Geoff and Diez Roux, Ana and Fitzpatrick, Annette and Hajat, Anjum and Halaschek-Wiener, Julius and Harris, Sarah and Hunt, Steven C and Jagger, Carol and Jeon, Hyo-Sung and Kaplan, Robert and Kimura, Masayuki and Lansdorp, Peter and Li, Changyong and Maeda, Toyoki and Mangino, Massimo and Nawrot, Tim S and Nilsson, Peter and Nordfjall, Katarina and Paolisso, Giuseppe and Ren, Fu and Riabowol, Karl and Robertson, Tony and Roos, Goran and Staessen, Jan A and Spector, Tim and Tang, Nelson and Unryn, Brad and van der Harst, Pim and Woo, Jean and Xing, Chao and Yadegarfar, Mohammad E and Park, Jae Yong and Young, Neal and Kuh, Diana and von Zglinicki, Thomas and Ben-Shlomo, Yoav} } @article {6280, title = {Heritability of and mortality prediction with a longevity phenotype: the healthy aging index.}, journal = {J Gerontol A Biol Sci Med Sci}, volume = {69}, year = {2014}, month = {2014 Apr}, pages = {479-85}, abstract = {

BACKGROUND: Longevity-associated genes may modulate risk for age-related diseases and survival. The Healthy Aging Index (HAI) may be a subphenotype of longevity, which can be constructed in many studies for genetic analysis. We investigated the HAI{\textquoteright}s association with survival in the Cardiovascular Health Study and heritability in the Long Life Family Study.

METHODS: The HAI includes systolic blood pressure, pulmonary vital capacity, creatinine, fasting glucose, and Modified Mini-Mental Status Examination score, each scored 0, 1, or 2 using approximate tertiles and summed from 0 (healthy) to 10 (unhealthy). In Cardiovascular Health Study, the association with mortality and accuracy predicting death were determined with Cox proportional hazards analysis and c-statistics, respectively. In Long Life Family Study, heritability was determined with a variance component-based family analysis using a polygenic model.

RESULTS: Cardiovascular Health Study participants with unhealthier index scores (7-10) had 2.62-fold (95\% confidence interval: 2.22, 3.10) greater mortality than participants with healthier scores (0-2). The HAI alone predicted death moderately well (c-statistic = 0.643, 95\% confidence interval: 0.626, 0.661, p < .0001) and slightly worse than age alone (c-statistic = 0.700, 95\% confidence interval: 0.684, 0.717, p < .0001; p < .0001 for comparison of c-statistics). Prediction increased significantly with adjustment for demographics, health behaviors, and clinical comorbidities (c-statistic = 0.780, 95\% confidence interval: 0.765, 0.794, p < .0001). In Long Life Family Study, the heritability of the HAI was 0.295 (p < .0001) overall, 0.387 (p < .0001) in probands, and 0.238 (p = .0004) in offspring.

CONCLUSION: The HAI should be investigated further as a candidate phenotype for uncovering longevity-associated genes in humans.

}, keywords = {Aged, Aging, Cardiovascular Diseases, Female, Genetic Predisposition to Disease, Genotype, Health Behavior, Humans, Longevity, Male, Phenotype, Retrospective Studies, Risk Factors, Survival Rate, United States}, issn = {1758-535X}, doi = {10.1093/gerona/glt117}, author = {Sanders, Jason L and Minster, Ryan L and Barmada, M Michael and Matteini, Amy M and Boudreau, Robert M and Christensen, Kaare and Mayeux, Richard and Borecki, Ingrid B and Zhang, Qunyuan and Perls, Thomas and Newman, Anne B} }