Christensen K, Johnson TE, Vaupel JW. (2006) The quest for genetic determinants of human longevity: challenges and insights. Nat. Rev. Genet., 7(6): 436-448.

Gut IG, Brennan P, McKay JD, Bencko V, Fabianova E, Foretova L, Georges M, Janout V, Kabesch M, Krokan HE, Elvestad MB, Lissowska J, Mates D, Rudnai P, Skorpen F, Schreiber S, Soria JM, Syvanen AC, Meneton P, Hercberg S, Galan P, Szeszenia-Dabrowska J. (2009) Estimation of the multiplevan Broeckhoven C, Alperovitch A, Lathrop M, Amouyel P (2010) Genome-wide association study identifies variants at CLU and CR1 associated with Alzheimer's disease. Nat. Genet., 42(7): 529-533.
Mooijaart SP, Berbee JF, van Heemst D, Havekes LM, de Craen AJ, Slagboom PE, Rensen PC, Westendorp RG (2013) ApoE plasma levels and risk of cardiovascular mortality in old age. PLoS Med., 10(2): e1001412.
Newman AB, Walter S, Lunetta KL, Garcia ME, Slagboom PE, Christensen K, Arnold AM, Aspelund T, Aulchenko YS, Benjamin EJ, Christiansen L, D'Agostino RB Sr, Fitzpatrick AL, Franceschini N, Glazer NL, Gudnason V, Hofman A, Kaplan R, Karasik D, Kelly-Hayes M, Kiel DP, Launer LJ, Marciante KD, Massaro JM, Miljkovic I, Nalls MA, Hernandez D, Psaty BM, Rivadeneira F, Rotter JI, Seshadri S, Smith AV, Taylor KD et al. (2010) 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. J Gerontol A Biol Sci Med Sci., 65(5): 478-487.
Nybo H, Petersen HC, Gaist D et al. (2003) Predictors of mortality in 2 Danish centenarian cohorts. J Am Geriatr Soc., 51(9): 1365-1370.
Oeppen J, Vaupel JW (2002) Demography. Broken limits to life expectancy. Science, 296(5570): 1029-1031.
Pawlikowska L, Hu D, Huntsman S et al. (2009) Association of common genetic variation in the insulin/IGF1 signaling pathway with human longevity. Aging Cell, 8(4): 460-472.
Rozing MP, Westendorp RG, de Craen AJ et al. (2010) Favorable glucose tolerance and lower prevalence of metabolic syndrome in offspring without diabetes mellitus of nonagenarian siblings: the Leiden Longevity Study. J Am Geriatr Soc., 58(3): 564-569.
Seshadri S, Fitzpatrick AL, Ikram MA et al. (2010) Genome-wide analysis of genetic loci associated with Alzheimer disease. JAMA, 303(18): 1832-1840.
Shen L, Kim S, Risacher SL et al. (2010) Whole genome association study of brain-wide imaging phenotypes for identifying quantitative trait loci in MCI and AD: A study of the ADNI cohort. Neuroimage, 53(3): 1051-1063.
Skytthe A, Pedersen NL, Kaprio J et al. (2006) Longevity studies in GenomUtwin. Twin Res Hum Genet., 9(6): 941-949.
Slooter AJ, Cruts M, Kalmijn S et al. (1998) Risk estimates of dementia by apolipoprotein E genotypes from a population-based incidence study: the Rotterdam Study. Arch Neurol., 55(7): 964-968.
Soerensen M, Dato S, Christensen K et al. (2010) Replication of an association of variation in the FOXO3A gene with human longevity using both case-control and longitudinal data. Aging Cell, 9(6): 1010-1017.
Suh Y, Atzmon G, Cho MO et al. (2008) Functionally significant insulin-like growth factor I receptor mutations in centenarians. Proc Natl Acad Sci U S A., 105(9): 3438-3442.
Sullivan PF, de Geus EJ, Willemsen G et al. (2009) Genome-wide association for major depressive disorder: a possible role for the presynaptic protein piccolo. Mol Psychiatry, 14(4): 359-375.
Tan Q, Zhao JH, Iachine I et al. (2004) Power of non-parametric linkage analysis in mapping genes contributing to human longevity in long-lived sib-pairs. Genet Epidemiol., 26(3): 237-243.
Teichert M, Eijgelsheim M, Rivadeneira F et al. (2009With human longevity. Proc. Natl. Acad. U.S.A., Supporting Information. Additional supporting information may be found in the online version of this article:

Fig. S1: Manhattan plot presenting the log P from the Cochran-Armitage trend test for the 516,721 SNPs that passed the quality control thresholds in the LLS GWAS.

Fig. S2: Genomic region surrounding rs2075650 (obtained from the UCSC genome browser (http://genome.ucsc.edu/). The physical distances between rs2075650 and rs429358 and between rs2075650 and rs7412 are 16.32 kb and 16.46 kb, respectively.

Fig. S3: Kaplan-Meier curves showing the survival rate over years to follow-up of ApoE e3e3 carriers with zero (solid line) or one (large dashed line) minor allele(s) of rs2075650 in the LLS, Leiden 85-plus study, and Danish 1905 cohort.

Fig. S4: Kaplan-Meier curves showing the survival rate over years to follow-up of carriers of zero (solid line), one (large dashed line), or two (small dashed line) e4 allele(s) of rs429358 in the LLS and Leiden 85-plus study.

Fig. S5: C1 values plotted against the C2 values, both resulting from the multidimensional scaling analysis, of the 403 LLS GWAS cases (green) and the 1670 RS GWAS controls (blue).

Fig. S6: Quantile-quantile plot of expected vs. observed chi-square values for the test statistic from the Cochran-Armitage trend test for 516,721 SNPs that passed the quality control thresholds in the LLS GWAS. The slope of the dashed line represents the genomic inflation factor (k = 1.027). The shaded region represents the 95% confidence band.

Table S1: SNPs (n = 62) selected for replication analysis, associating at P < 1 x 10^-4 with survival into old age in the analysis of the LLS GWAS.

Table S2: (A) Results of the association analysis with survival into old age of the 58 prioritized SNPs from the LLS GWAS in the RS replication study, Leiden 85-plus replication study, Danish replication study, and the meta-analysis. (B) Results of the meta-analysis. 

Table S3: (A) Results of the prospective analysis of rs2075650 adjusted for rs429358 (e4) and rs7412 (e2). (B) Results of the prospective analysis of rs429358 (e4).

Table S4: Association of LLS GWAS SNPs selected from the AlzGene database [http://www.alzgene.org/, (Bertram et al., 2007)] with survival into old age.