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Pregled bibliografske jedinice broj: 1200532

Genetic Longevity Scores for the Croatian population aged 85+


Šetinc, Maja; Celinšćak, Željka; Bočkor, Luka; Zajc Petranović, Matea; Smolej Narančić, Nina; Škarić-Jurić, Tatjana
Genetic Longevity Scores for the Croatian population aged 85+ // European Human Genetics Conference (ESHG 2022)
Beč, Austrija, 2022. str. 1-1 (poster, međunarodna recenzija, sažetak, znanstveni)


CROSBI ID: 1200532 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Genetic Longevity Scores for the Croatian population aged 85+

Autori
Šetinc, Maja ; Celinšćak, Željka ; Bočkor, Luka ; Zajc Petranović, Matea ; Smolej Narančić, Nina ; Škarić-Jurić, Tatjana

Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, znanstveni

Skup
European Human Genetics Conference (ESHG 2022)

Mjesto i datum
Beč, Austrija, 11.06.2022. - 14.06.2022

Vrsta sudjelovanja
Poster

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
longevity ; aging ; polygenic risk score ; SNPs ; Croatia

Sažetak
Background/Objectives: Ages of 90.0 and 95.0 are widely considered as thresholds for longevity and extreme longevity, respectively. The goal of this study was to construct unweighted and weighted Genetic Longevity Scores (uGLS, wGLS) and to test their ability to predict a chance of survival beyond these ages. Methods: DNA samples of 314 unrelated elderly individuals (85.0+ years) were genotyped for 42 putative longevity SNPs in 27 genes, and all SNPs that had a p&lt ; 0.20 in univariate analyses were selected for testing in the multivariate logistic regression models. SNPs from the best model for each cut-off age at death were chosen for GLS calculation, with unweighted score representing a sum of longevity-related alleles, and weighted score a sum of each SNP’s value multiplied by its respective beta coefficient from the multivariate model. Results: GLS included nine SNPs (rs7412, rs50871, rs12206094, rs2267723, rs9536314, rs16847897, rs1800629, rs1042522, rs17202060) for the survival age of 90.0, and five SNPs (rs429358, rs12203592, rs4837525, rs6067484, rs1042522) for the age of 95.0. There was no significant sex difference in mean values of any GLS. All four GLSs (uGLS90.0, wGLS90.0, uGLS95.0, wGLS95.0) were positively correlated with age at death (p&lt ; 0.01). ROC curve analysis showed all four scores are predictive for reaching the longevity milestones. With area-under-curve of 0.690, weighted GLS90 was shown to be the most predictive. Conclusion: GLS based on nine longevity SNPs is predictive of survival to 90.0 years, and five SNP-based GLS is predictive of reaching 95.0 years in the elderly Croatian population. References: / Grants: CSF IP-01-2018-2497 (HECUBA).

Izvorni jezik
Engleski

Znanstvena područja
Biologija, Javno zdravstvo i zdravstvena zaštita, Etnologija i antropologija



POVEZANOST RADA


Projekti:
IP-2018-01-2497 - Zdravstvene, kulturne i biološke odrednice dugovječnosti: antropološka studija preživljenja u dubokoj starosti (HECUBA) (Škarić-Jurić, Tatjana, HRZZ - 2018-01) ( CroRIS)

Ustanove:
Institut za antropologiju


Citiraj ovu publikaciju:

Šetinc, Maja; Celinšćak, Željka; Bočkor, Luka; Zajc Petranović, Matea; Smolej Narančić, Nina; Škarić-Jurić, Tatjana
Genetic Longevity Scores for the Croatian population aged 85+ // European Human Genetics Conference (ESHG 2022)
Beč, Austrija, 2022. str. 1-1 (poster, međunarodna recenzija, sažetak, znanstveni)
Šetinc, M., Celinšćak, Ž., Bočkor, L., Zajc Petranović, M., Smolej Narančić, N. & Škarić-Jurić, T. (2022) Genetic Longevity Scores for the Croatian population aged 85+. U: European Human Genetics Conference (ESHG 2022).
@article{article, author = {\v{S}etinc, Maja and Celin\v{s}\'{c}ak, \v{Z}eljka and Bo\v{c}kor, Luka and Zajc Petranovi\'{c}, Matea and Smolej Naran\v{c}i\'{c}, Nina and \v{S}kari\'{c}-Juri\'{c}, Tatjana}, year = {2022}, pages = {1-1}, keywords = {longevity, aging, polygenic risk score, SNPs, Croatia}, title = {Genetic Longevity Scores for the Croatian population aged 85+}, keyword = {longevity, aging, polygenic risk score, SNPs, Croatia}, publisherplace = {Be\v{c}, Austrija} }
@article{article, author = {\v{S}etinc, Maja and Celin\v{s}\'{c}ak, \v{Z}eljka and Bo\v{c}kor, Luka and Zajc Petranovi\'{c}, Matea and Smolej Naran\v{c}i\'{c}, Nina and \v{S}kari\'{c}-Juri\'{c}, Tatjana}, year = {2022}, pages = {1-1}, keywords = {longevity, aging, polygenic risk score, SNPs, Croatia}, title = {Genetic Longevity Scores for the Croatian population aged 85+}, keyword = {longevity, aging, polygenic risk score, SNPs, Croatia}, publisherplace = {Be\v{c}, Austrija} }

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus
  • MEDLINE





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