FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4320489867> ?p ?o ?g. }

• W4320489867 endingPage "86" @default.
• W4320489867 startingPage "73" @default.
• W4320489867 abstract "Arterial aneurysms are life-threatening but usually asymptomatic before requiring hospitalization. Oculomics of retinal vascular features (RVFs) extracted from retinal fundus images can reflect systemic vascular properties and therefore were hypothesized to provide valuable information on detecting the risk of aneurysms. By integrating oculomics with genomics, this study aimed to (i) identify predictive RVFs as imaging biomarkers for aneurysms and (ii) evaluate the value of these RVFs in supporting early detection of aneurysms in the context of predictive, preventive and personalized medicine (PPPM).This study involved 51,597 UK Biobank participants who had retinal images available to extract oculomics of RVFs. Phenome-wide association analyses (PheWASs) were conducted to identify RVFs associated with the genetic risks of the main types of aneurysms, including abdominal aortic aneurysm (AAA), thoracic aneurysm (TAA), intracranial aneurysm (ICA) and Marfan syndrome (MFS). An aneurysm-RVF model was then developed to predict future aneurysms. The performance of the model was assessed in both derivation and validation cohorts and was compared with other models employing clinical risk factors. An RVF risk score was derived from our aneurysm-RVF model to identify patients with an increased risk of aneurysms.PheWAS identified a total of 32 RVFs that were significantly associated with the genetic risks of aneurysms. Of these, the number of vessels in the optic disc ('ntreeA') was associated with both AAA (β = -0.36, P = 6.75e-10) and ICA (β = -0.11, P = 5.51e-06). In addition, the mean angles between each artery branch ('curveangle_mean_a') were commonly associated with 4 MFS genes (FBN1: β = -0.10, P = 1.63e-12; COL16A1: β = -0.07, P = 3.14e-09; LOC105373592: β = -0.06, P = 1.89e-05; C8orf81/LOC441376: β = 0.07, P = 1.02e-05). The developed aneurysm-RVF model showed good discrimination ability in predicting the risks of aneurysms. In the derivation cohort, the C-index of the aneurysm-RVF model was 0.809 [95% CI: 0.780-0.838], which was similar to the clinical risk model (0.806 [0.778-0.834]) but higher than the baseline model (0.739 [0.733-0.746]). Similar performance was observed in the validation cohort, with a C-index of 0.798 (0.727-0.869) for the aneurysm-RVF model, 0.795 (0.718-0.871) for the clinical risk model and 0.719 (0.620-0.816) for the baseline model. An aneurysm risk score was derived from the aneurysm-RVF model for each study participant. The individuals in the upper tertile of the aneurysm risk score had a significantly higher risk of aneurysm compared to those in the lower tertile (hazard ratio = 17.8 [6.5-48.8], P = 1.02e-05).We identified a significant association between certain RVFs and the risk of aneurysms and revealed the impressive capability of using RVFs to predict the future risk of aneurysms by a PPPM approach. Our finds have great potential to support not only the predictive diagnosis of aneurysms but also a preventive and more personalized screening plan which may benefit both patients and the healthcare system.The online version contains supplementary material available at 10.1007/s13167-023-00315-7." @default.
• W4320489867 created "2023-02-14" @default.
• W4320489867 creator A5009590736 @default.
• W4320489867 creator A5009988205 @default.
• W4320489867 creator A5010173047 @default.
• W4320489867 creator A5014689401 @default.
• W4320489867 creator A5022526821 @default.
• W4320489867 creator A5025210018 @default.
• W4320489867 creator A5027501723 @default.
• W4320489867 creator A5040193720 @default.
• W4320489867 creator A5041615881 @default.
• W4320489867 creator A5042003426 @default.
• W4320489867 creator A5045547434 @default.
• W4320489867 creator A5046597133 @default.
• W4320489867 creator A5049088437 @default.
• W4320489867 creator A5052428487 @default.
• W4320489867 creator A5063472248 @default.
• W4320489867 creator A5071150248 @default.
• W4320489867 creator A5077821675 @default.
• W4320489867 creator A5079891303 @default.
• W4320489867 creator A5087335378 @default.
• W4320489867 date "2023-02-13" @default.
• W4320489867 modified "2023-10-13" @default.
• W4320489867 title "Integrating oculomics with genomics reveals imaging biomarkers for preventive and personalized prediction of arterial aneurysms" @default.
• W4320489867 cites W1723923153 @default.
• W4320489867 cites W1915219863 @default.
• W4320489867 cites W1981921464 @default.
• W4320489867 cites W1993427098 @default.
• W4320489867 cites W2008150751 @default.
• W4320489867 cites W2030565163 @default.
• W4320489867 cites W2030966511 @default.
• W4320489867 cites W2060720633 @default.
• W4320489867 cites W2082704080 @default.
• W4320489867 cites W2088749788 @default.
• W4320489867 cites W2099085143 @default.
• W4320489867 cites W2099412125 @default.
• W4320489867 cites W2102215872 @default.
• W4320489867 cites W2105292032 @default.
• W4320489867 cites W2106225077 @default.
• W4320489867 cites W2109626337 @default.
• W4320489867 cites W2129228205 @default.
• W4320489867 cites W2136662125 @default.
• W4320489867 cites W2161725230 @default.
• W4320489867 cites W2170542922 @default.
• W4320489867 cites W2430187835 @default.
• W4320489867 cites W2462494405 @default.
• W4320489867 cites W2468543693 @default.
• W4320489867 cites W2557527880 @default.
• W4320489867 cites W2776107171 @default.
• W4320489867 cites W2885960546 @default.
• W4320489867 cites W2895486342 @default.
• W4320489867 cites W2923327939 @default.
• W4320489867 cites W2948422918 @default.
• W4320489867 cites W2952979335 @default.
• W4320489867 cites W2956246587 @default.
• W4320489867 cites W2995034229 @default.
• W4320489867 cites W3001878481 @default.
• W4320489867 cites W3040489902 @default.
• W4320489867 cites W3047461706 @default.
• W4320489867 cites W3081820526 @default.
• W4320489867 cites W3088656661 @default.
• W4320489867 cites W3091908957 @default.
• W4320489867 cites W3094777985 @default.
• W4320489867 cites W3101884091 @default.
• W4320489867 cites W3152925382 @default.
• W4320489867 cites W3172944631 @default.
• W4320489867 cites W3173800405 @default.
• W4320489867 cites W3179012543 @default.
• W4320489867 cites W3188252071 @default.
• W4320489867 cites W3202688695 @default.
• W4320489867 cites W353261369 @default.
• W4320489867 cites W4200077969 @default.
• W4320489867 cites W4205676993 @default.
• W4320489867 cites W4211244595 @default.
• W4320489867 cites W4214530050 @default.
• W4320489867 cites W4221058154 @default.
• W4320489867 cites W4225960012 @default.
• W4320489867 cites W4237845964 @default.
• W4320489867 cites W4281714458 @default.
• W4320489867 cites W4282962542 @default.
• W4320489867 cites W4290653018 @default.
• W4320489867 cites W4292080715 @default.
• W4320489867 cites W4304479685 @default.
• W4320489867 cites W4307328259 @default.
• W4320489867 doi "https://doi.org/10.1007/s13167-023-00315-7" @default.
• W4320489867 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/36866161" @default.
• W4320489867 hasPublicationYear "2023" @default.
• W4320489867 type Work @default.
• W4320489867 citedByCount "1" @default.
• W4320489867 countsByYear W43204898672023 @default.
• W4320489867 crossrefType "journal-article" @default.
• W4320489867 hasAuthorship W4320489867A5009590736 @default.
• W4320489867 hasAuthorship W4320489867A5009988205 @default.
• W4320489867 hasAuthorship W4320489867A5010173047 @default.
• W4320489867 hasAuthorship W4320489867A5014689401 @default.
• W4320489867 hasAuthorship W4320489867A5022526821 @default.
• W4320489867 hasAuthorship W4320489867A5025210018 @default.
• W4320489867 hasAuthorship W4320489867A5027501723 @default.

• next