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@ARTICLE{Li:181611,
      author       = {X. Li$^*$ and T. Delerue and B. Schöttker$^*$ and B.
                      Holleczek and E. Grill and A. Peters and M. Waldenberger and
                      B. Thorand and H. Brenner$^*$},
      title        = {{D}erivation and validation of an epigenetic frailty risk
                      score in population-based cohorts of older adults.},
      journal      = {Nature Communications},
      volume       = {13},
      number       = {1},
      issn         = {2041-1723},
      address      = {[London]},
      publisher    = {Nature Publishing Group UK},
      reportid     = {DKFZ-2022-02111},
      pages        = {5269},
      year         = {2022},
      note         = {#EA:C070#LA:C070#LA:C120#},
      abstract     = {DNA methylation (DNAm) patterns in peripheral blood have
                      been shown to be associated with aging related health
                      outcomes. We perform an epigenome-wide screening to identify
                      CpGs related to frailty, defined by a frailty index (FI), in
                      a large population-based cohort of older adults from
                      Germany, the ESTHER study. Sixty-five CpGs are identified as
                      frailty related methylation loci. Using LASSO regression, 20
                      CpGs are selected to derive a DNAm based algorithm for
                      predicting frailty, the epigenetic frailty risk score
                      (eFRS). The eFRS exhibits strong associations with frailty
                      at baseline and after up to five-years of follow-up
                      independently of established frailty risk factors. These
                      associations are confirmed in another independent
                      population-based cohort study, the KORA-Age study, conducted
                      in older adults. In conclusion, we identify 65 CpGs as
                      frailty-related loci, of which 20 CpGs are used to calculate
                      the eFRS with predictive performance for frailty over
                      long-term follow-up.},
      cin          = {C070 / C120 / HD01},
      ddc          = {500},
      cid          = {I:(DE-He78)C070-20160331 / I:(DE-He78)C120-20160331 /
                      I:(DE-He78)HD01-20160331},
      pnm          = {313 - Krebsrisikofaktoren und Prävention (POF4-313)},
      pid          = {G:(DE-HGF)POF4-313},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:36071044},
      doi          = {10.1038/s41467-022-32893-x},
      url          = {https://inrepo02.dkfz.de/record/181611},
}