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000181611 1001_ $$0P:(DE-He78)70ce269695a19b94f3f8b0bca12ec49b$$aLi, Xiangwei$$b0$$eFirst author$$udkfz
000181611 245__ $$aDerivation and validation of an epigenetic frailty risk score in population-based cohorts of older adults.
000181611 260__ $$a[London]$$bNature Publishing Group UK$$c2022
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000181611 520__ $$aDNA 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.
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000181611 7001_ $$aDelerue, Thomas$$b1
000181611 7001_ $$0P:(DE-He78)c67a12496b8aac150c0eef888d808d46$$aSchöttker, Ben$$b2$$udkfz
000181611 7001_ $$aHolleczek, Bernd$$b3
000181611 7001_ $$aGrill, Eva$$b4
000181611 7001_ $$aPeters, Annette$$b5
000181611 7001_ $$00000-0003-0583-5093$$aWaldenberger, Melanie$$b6
000181611 7001_ $$00000-0002-8416-6440$$aThorand, Barbara$$b7
000181611 7001_ $$0P:(DE-He78)90d5535ff896e70eed81f4a4f6f22ae2$$aBrenner, Hermann$$b8$$eLast author$$udkfz
000181611 773__ $$0PERI:(DE-600)2553671-0$$a10.1038/s41467-022-32893-x$$gVol. 13, no. 1, p. 5269$$n1$$p5269$$tNature Communications$$v13$$x2041-1723$$y2022
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