:

–

Atzmon G, Rincon M, Rabizadeh P, Barzilai N (

) Biological evidence for inheritance of exceptional longevity. Mech Ageing Dev

:

–

Barzilai N, Atzmon G, Schechter C, Schaefer EJ, Cupples AL, et al. (

) Unique lipoprotein phenotype and genotype associated with exceptional longevity. Jama

:

–

Young RD, Desjardins B, M

aughlin K, Poulain M, Perls T (

) Typologies of Extreme Longevity Myths. Curr Gerontol Geriatr Res, URL: http:// wwwhindawicom/journals/cggr/

/

/. pp

–

Tan Q, Zhao JH, Zhang D, Kruse TA, Christensen K (

) Power for genetic association study of human longevity using the case-control design. Am J Epidemiol

:

–

Solovieff N, Hartley SW, Baldwin CT, Perls TT, Steinberg MH, et al. (

) Clustering by genetic ancestry using genome-wide data. BMC Genetics

:

Pankratz N, Wilk JB, Latourelle JC, D

tefano AL, Halter C, et al. (

) Genomewide association study for susceptibility genes contributing to familial Parkinson disease. Hum Genet

:

–

(

) Genome-wide association study of

,

cases of seven common diseases and

,

shared controls. Nature

:

–

Lettre G, Lange C, Hirschhorn JN (

) Genetic model testing and statistical power in population-based association studies of quantitative traits. Genet Epidemiol

:

–

Stephens M, Balding DJ (

) Bayesian statistical methods for genetic association studies. Nat Rev Genet

:

–

Christensen K, Johnson TE, Vaupel JW (

) The quest for genetic determinants of human longevity: challenges and insights. Nat Rev Genet

:

–

Schachter F, Faure-Delanef L, Guenot F, Rouger H, Froguel P, et al. (

) Genetic associations with human longevity at the APOE and ACE loci. Nat Genet

:

–

Deelen J, Beekman M, Uh HW, Helmer Q, Kuningas M, et al. (

) Genome- wide association study identifies a single major locus contributing to survival into old age; the APOE locus revisited. Aging Cell.

Yu CE, Seltman H, Peskind ER, Galloway N, Zhou PX, et al. (

) Comprehensive analysis of APOE and selected proximate markers for late-onset Alzheimer’s disease: patterns of linkage disequilibrium and disease/marker association. Genomics

:

–

Potkin SG, Guffanti G, Lakatos A, Turner JA, Kruggel F, et al. (

) Hippocampal atrophy as a quantitative trait in a genome-wide association study identifying novel susceptibility genes for Alzheimer’s disease. PL

ONE

: e

Beecham GW, Martin ER, Li YJ, Slifer MA, Gilbert JR, et al. (

) Genome- wide association study implicates a chromosome

risk locus for late-onset Alzheimer disease. Am J Hum Genet

:

–

Sabatti C, Service SK, Hartikainen AL, Pouta A, Ripatti S, et al. (

) Genome-wide association analysis of metabolic traits in a birth cohort from a founder population. Nat Genet

:

–

Aulchenko YS, Ripatti S, Lindqvist I, Boomsma D, Heid IM, et al. (

) Loci influencing lipid levels and coronary heart disease risk in

European population cohorts. Nat Genet

:

–

Meuwissen TH, Hayes BJ, Goddard ME (

) Prediction of total genetic value using genome-wide dense marker maps. Genetics

:

–

Wray NR, Goddard ME, Visscher PM (

) Prediction of individual genetic risk to disease from genome-wide association studies. Genome Res

:

–

Goddard ME, Wray NR, Verbyla K, Visscher PM (

) Estimating effects and making predictions from genome-wide marker data. Statistica Science

:

–

Wray NR, Yang J, Goddard ME, Visscher PM (

) The genetic interpretation of area under the ROC curve in genomic profiling. PL

Genet

: e

Vaupel JW, Carey JR, Christensen K, Johnson TE, Yashin AI, et al. Biodemographic trajectories of longevity. Science

:

–

Christensen K, Doblhammer G, Rau R, Vaupel JW (

) Ageing the challenges ahead. Lancet

:

–

Perls TT, Bochen K, Freeman M, Alpert L, Silver MH (

) Validity reported age and centenarian prevalence in New England. Age Ageing

–

Purcell S, Neale B, Todd-Brown K, Thomas L, Ferreira MA, et al. PLINK: A Tool Set for Whole-Genome Association and Linkage Analyses. Am J Hum Genet

:

–

Nebel A, Schreiber S (

) Allelic variation and human longevity. Sci Knowledge Environ

: pe

Price AL, Patterson NJ, Plenge RM, Weinblatt ME, Shadick NA, et al. Principal components analysis corrects for stratification in association studies. Nat Genet

:

–

Price AL, Butler J, Patterson N, Capelli C, Pascali VL, et al. (

) the ancestry of European Americans in genetic association studies. PL

: e

Balding DJ (

) A tutorial on statistical methods for population studies. Nat Rev Genet

:

–

Ramoni M, Sebastiani P (

) Robust Bayes classifiers. Artif Intell

–

Devlin B, Roeder K (

) Genomic control for association studies.

:

–

Hindorff LA, Sethupathy P, Junkins HA, Ramos EM, Mehta JP, et al. Potential etiologic and functional implications of genome-wide association for human diseases and traits. Proc Natl Acad Sci U S A

:

–

Sebastiani P, Perls TT (

) Complex Genetic Models. In: Dr Pourret PNDBM, ed. Bayesian Networks. pp

–

Ramoni MF, Sebastiani P, Kohane IS (

) Cluster analysis of gene dynamics. Proc Natl Acad Sci U S A

:

–

Ramoni M, Sebastiani P, Cohen P (

) Bayesian clustering by Mach Learn

:

–

Wang L, Montano M, Rarick M, Sebastiani P (

) Conditional clustering temporal expression profiles. BMC Bioinformatics

:

survivors, delayers, and escapers. J Gerontol A Biol Sci Med Sci

:

–

Bloss CS, Pawlikowska L, Schork NJ (

) Contemporary human genetic strategies in aging research. Ageing Res Rev

:

–

Beekman M, Nederstigt C, Suchiman HE, Kremer D, van der Breggen R, et al. (

) Genome-wide association study (GWAS)-identified disease risk alleles do not compromise human longevity. Proc Natl Acad Sci USA

:

–

Harold D, Abraham R, Hollingworth P, Sims R, Gerrish A, et al. (

) Genome-wide association study identifies variants at CLU and PICALM associated with Alzheimer’s disease. Nat Genet

:

–

Lambert JC, Heath S, Even G, Campion D, Sleegers K, et al. (

) Genome- wide association study identifies variants at CLU and CR

associated with Alzheimer’s disease. Nat Genet