{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Setinc M"],"funding":["Croatian Science Foundation"],"pagination":["e0279971"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC9897585"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["18(2)"],"pubmed_abstract":["Longevity is a hallmark of successful ageing and a complex trait with a significant genetic component. In this study, 43 single nucleotide polymorphisms (SNPs) were chosen from the literature and genotyped in a Croatian oldest-old sample (85+ years, sample size (N) = 314), in order to determine whether any of these SNPs have a significant effect on reaching the age thresholds for longevity (90+ years, N = 212) and extreme longevity (95+ years, N = 84). The best models were selected for both survival ages using multivariate logistic regression. In the model for reaching age 90, nine SNPs explained 20% of variance for survival to that age, while the 95-year model included five SNPs accounting for 9.3% of variance. The two SNPs that showed the most significant association (p ≤ 0.01) with long"],"journal":["PloS one"],"pubmed_title":["Genetic scores for predicting longevity in the Croatian oldest-old population."],"pmcid":["PMC9897585"],"funding_grant_id":["IP-01-2018-2497 (HECUBA project) and DOK-2018-09-8382"],"pubmed_authors":["Smolej Narancic N","Pericic Salihovic M","Skaric-Juric T","Stojanovic Markovic A","Coric T","Kolaric B","Celinscak Z","Zajc Petranovic M","Setinc M","Bockor L"],"additional_accession":[]},"is_claimable":false,"name":"Genetic scores for predicting longevity in the Croatian oldest-old population.","description":"Longevity is a hallmark of successful ageing and a complex trait with a significant genetic component. In this study, 43 single nucleotide polymorphisms (SNPs) were chosen from the literature and genotyped in a Croatian oldest-old sample (85+ years, sample size (N) = 314), in order to determine whether any of these SNPs have a significant effect on reaching the age thresholds for longevity (90+ years, N = 212) and extreme longevity (95+ years, N = 84). The best models were selected for both survival ages using multivariate logistic regression. In the model for reaching age 90, nine SNPs explained 20% of variance for survival to that age, while the 95-year model included five SNPs accounting for 9.3% of variance. The two SNPs that showed the most significant association (p ≤ 0.01) with long","dates":{"release":"2023-01-01T00:00:00Z","publication":"2023","modification":"2026-05-28T19:00:45.46Z","creation":"2025-02-19T00:13:30.528Z"},"accession":"S-EPMC9897585","cross_references":{"pubmed":["36735720"],"doi":["10.1371/journal.pone.0279971"]}}