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FOXO3 is consistently annotated as a human longevity gene. However, functional variants and underlying mechanisms for the association remain unknown. Here, we perform resequencing of the FOXO3 locus and single-nucleotide variant (SNV) genotyping in three European populations. We find two FOXO3 SNVs, rs12206094 and rs4946935, to be most significantly associated with longevity and further characterize them functionally. We experimentally validate the in silico predicted allele-dependent binding of transcription factors (CTCF, SRF) to the SNVs. Specifically, in luciferase reporter assays, the longevity alleles of both variants show considerable enhancer activities that are reversed by IGF-1 treatment. An eQTL database search reveals that the alleles are also associated with higher FOXO3 mRNA expression in various human tissues, which is in line with observations in long-lived model organisms. In summary, we present experimental evidence for a functional link between common intronic variants in FOXO3 and human longevity.

Human pigmentation traits are of great interest to many research areas, from ancient DNA analysis to forensic science. We developed a gene-based predictive model for pigmentation phenotypes in a realistic target population for forensic case work from Northern Germany and compared our model with those brought forth by previous studies of genetically more heterogeneous populations. In doing so, we aimed at answering the following research questions: (1) do existing models allow good prediction of high-quality phenotypes in a genetically similar albeit more homogeneous population? (2) Would a model specifically set up for the more homogeneous population perform notably better than existing models? (3) Can the number of markers included in existing models be reduced without compromising their predictive capability in the more homogenous population? We investigated the association between eye, hair and skin colour and 12 candidate single-nucleotide polymorphisms (SNPs) from six genes. Our study comprised two samples of 300 and 100 individuals from Northern Germany. SNP rs12913832 in HERC2 was found to be strongly associated with blue eye colour (odds ratio=40.0, P<1.2 × 10(-4)) and to yield moderate predictive power (AUC: 77%; sensitivity: 90%, specificity: 63%, both at a 0.5 threshold for blue eye colour probability). SNP associations with hair and skin colour were weaker and genotypes less predictive. A comparison with two recently published sets of markers to predict eye and hair colour revealed that the consideration of additional SNPs with weak-to-moderate effect increased the predictive power for eye colour, but not for hair colour.

Human longevity is a multifactorial phenotype influenced by both genetic and environmental factors. Despite its heritability of 25-32 %, the genetic background of longevity is as yet largely unexplained. Apart from APOE status, variation in the FOXO3A gene is the only confirmed genetic contributor to survival into old age. On the other hand, FOXO3A activity is known to be downregulated in various cancers, and the gene was recently identified as a novel deletion hotspot in human lung adenocarcinoma. In view of the strong association between smoking and lung cancer, we set out to explore whether smoking modifies the known association between FOXO3A variation and longevity. To this end, we conducted a case-control study in two different populations, drawing upon extensive collections of old-aged individuals and younger controls available to us (1,613 German centenarians/nonagenarians and 1,104 controls; 1,088 Danish nonagenarians and 736 controls). In the German sample, 21 single nucleotide polymorphisms (SNPs) from the FOXO3A gene region were genotyped, whereas 15 FOXO3A SNPs were analyzed in the Danish sample. Eight SNPs were typed in both populations. Logistic regression analysis revealed that adjustment for smoking does not systematically alter the association between FOXO3A variation and longevity in neither population. Our analysis therefore suggests that the said association is not largely due to the confounding effects of lung cancer.

We conducted a case-control genome-wide association study (GWAS) of human longevity, comparing 664,472 autosomal SNPs in 763 long-lived individuals (LLI; mean age: 99.7 years) and 1085 controls (mean age: 60.2 years) from Germany. Only one association, namely that of SNP rs4420638 near the APOC1 gene, achieved genome-wide significance (allele-based P=1.8×10(-10)). However, logistic regression analysis revealed that this association, which was replicated in an independent German sample, is fully explicable by linkage disequilibrium with the APOE allele ɛ4, the only variant hitherto established as a major genetic determinant of survival into old age. Our GWAS failed to identify any additional autosomal susceptibility genes. One explanation for this lack of success in our study would be that GWAS provide only limited statistical power for a polygenic phenotype with loci of small effect such as human longevity. A recent GWAS in Dutch LLI independently confirmed the APOE-longevity association, thus strengthening the conclusion that this locus is a very, if not the most, important genetic factor influencing longevity., (Copyright © 2011 Elsevier Ireland Ltd. All rights reserved.)

Twin studies have shown that longevity in humans is moderately heritable with a genetic component of 25-32%. Experimental model organisms point to the existence of core survival and anti-ageing pathways that have been conserved throughout evolution. It has been shown that mutations in single genes involved in these pathways can either delay or accelerate the ageing process and that many of these genes and pathways are also present in humans. Here, we performed a targeted investigation of selected genes (i) involved in longevity pathways (insulin receptor/insulin-like growth factor-I signaling and energy metabolism, intracellular signaling, apoptosis and stress response) and (ii) in which mutations lead to genetic perturbations in animal models or human diseases. Altogether, we tested 500 nonsynonymous single nucleotide polymorphisms (SNPs) in 343 candidate genes for association with the longevity phenotype in a German sample comprising about 400 centenarians and an equal number of younger control subjects. Thus, this study presents one of the largest candidate studies in human genetic longevity research conducted to-date. The three top-ranking markers, which are located in the genes DUSP6, NALP1 and PERP, revealed p-values≤0.01 in the allelic case-control comparisons. Although the association signals in Germans were not replicated in an independent French sample, the large number of analysis results is deemed a valuable reference point for further genetic studies., (Copyright © 2010 Elsevier B.V. All rights reserved.)

Human longevity is heritable with a genetic component of 25-32%. Variation in genes regulating the levels of somatic maintenance and DNA repair functions is thought to modulate the aging process and to contribute to survival at advanced age. We tested 92 non-synonymous SNPs in 49 DNA repair genes for a possible association with longevity in a sample of 395 German centenarians and 411 controls. The obtained association signal in exonuclease 1 (EXO1) was further investigated by fine mapping and mutation detection, leading to the identification of the functionally relevant SNP rs1776180. Our detailed analyses revealed that the C allele of this promoter SNP is significantly enriched in female centenarians. This finding replicated in 455 female French centenarians and 109 controls. The C allele leads to the loss of a binding site for the basic helix-loop-helix transcription factor E47, resulting in higher EXO1 expression. Thus, we have detected a hitherto undescribed role for E47 as a negative regulator of EXO1 transcription and a genetic variant in the EXO1 promoter that counteracts the E47-mediated repression of the gene. Given the survival advantage that is associated with the C allele of rs1776180, EXO1 can be considered a candidate for a novel longevity-enabling gene.

Genetic matching potentially provides a means to alleviate the effects of incomplete Mendelian randomization in population-based gene-disease association studies. We therefore evaluated the genetic-matched pair study design on the basis of genome-wide SNP data (309,790 markers; Affymetrix GeneChip Human Mapping 500K Array) from 2457 individuals, sampled at 23 different recruitment sites across Europe. Using pair-wise identity-by-state (IBS) as a matching criterion, we tried to derive a subset of markers that would allow identification of the best overall matching (BOM) partner for a given individual, based on the IBS status for the subset alone. However, our results suggest that, by following this approach, the prediction accuracy is only notably improved by the first 20 markers selected, and increases proportionally to the marker number thereafter. Furthermore, in a considerable proportion of cases (76.0%), the BOM of a given individual, based on the complete marker set, came from a different recruitment site than the individual itself. A second marker set, specifically selected for ancestry sensitivity using singular value decomposition, performed even more poorly and was no more capable of predicting the BOM than randomly chosen subsets. This leads us to conclude that, at least in Europe, the utility of the genetic-matched pair study design depends critically on the availability of comprehensive genotype information for both cases and controls.

Objectives: To evaluate whether ABCC2 gene polymorphisms are associated with expression and/or function of the efflux pump., Methods: We investigated the allele frequency of ABCC2 -24C>T, -23G>A, c.1249G>A, c.1446C>G, c.1457C>T, c.2302C>T, c.2366C>T, c.3542G>T, c.3561G>A, c.3563T>A, c.3972C>T, c.4348G>A, and 4544G>A in 374 nonrelated German healthy volunteers and determined the impact on duodenal mRNA and protein content of ABCC2. For functional analysis, the disposition of intravenously (30 mg) and orally administered talinolol (100 mg) was measured among 31 individuals. Moreover, the effects of rifampicin-type induction (600 mg, 8 days) of duodenal ABCC2 were quantified in 22 participants with regard to genetic polymorphisms., Results: The allele frequencies were 18.3% (-24T), 21.1% (1249A), 1.4% (1446G), 0.1% (3542T), 4.5% (3563A), 34.2% (3972T), and 4.4% (4544A); carriers of -23G>A, 1457C>T, 2302C>T, 2366C>T, 3561G>A, and 4348G>A were not identified. The -24T allele was in strong linkage with 3972T, and 3563A with 4544A, whereas 1249A was weakly linked with other variant alleles. None of the single nucleotide polymorphisms investigated influenced significantly intestinal ABCC2 mRNA and protein content. The variant ABCC2 1249G>A (V417I), however, was associated with lower oral bioavailability (P=0.001), and increased residual clearance of intravenous talinolol (P=0.021). Intestinal ABCC2 mRNA and protein expression were upregulated by rifampicin treatment, a genetic influence could be detected in only four cases heterozygote for 3563T>A or 4544G>A., Conclusion: The 1249G>A (V417I) polymorphism is obviously associated with higher activity of the intestinal transporter.

Objective: To evaluate the relevance and necessity to account for the effects of population substructure on association studies under a case-control design in central Europe, we analysed three samples drawn from different geographic areas of Germany. Two of the three samples, POPGEN (n = 720) and SHIP (n = 709), are from north and north-east Germany, respectively, and one sample, KORA (n = 730), is from southern Germany., Methods: Population genetic differentiation was measured by classical F-statistics for different marker sets, either consisting of genome-wide selected coding SNPs located in functional genes, or consisting of selectively neutral SNPs from 'genomic deserts'. Quantitative estimates of the degree of stratification were performed comparing the genomic control approach [Devlin B, Roeder K: Biometrics 1999;55:997-1004], structured association [Pritchard JK, Stephens M, Donnelly P: Genetics 2000;155:945-959] and sophisticated methods like random forests [Breiman L: Machine Learning 2001;45:5-32]., Results: F-statistics showed that there exists a low genetic differentiation between the samples along a north-south gradient within Germany (F(ST)(KORA/POPGEN): 1.7 . 10(-4); F(ST)(KORA/SHIP): 5.4 . 10(-4); F(ST)(POPGEN/SHIP): -1.3 . 10(-5))., Conclusion: Although the F(ST )-values are very small, indicating a minor degree of population structure, and are too low to be detectable from methods without using prior information of subpopulation membership, such as STRUCTURE [Pritchard JK, Stephens M, Donnelly P: Genetics 2000;155:945-959], they may be a possible source for confounding due to population stratification.