FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3187561549> ?p ?o ?g. }

• W3187561549 abstract "We examined the performance of methylation scores (MS) and polygenic scores (PGS) for birth weight, BMI, prenatal maternal smoking exposure, and smoking status to assess the extent to which MS could predict these traits and exposures over and above the PGS in a multi-omics prediction model. MS may be seen as the epigenetic equivalent of PGS, but because of their dynamic nature and sensitivity of non-genetic exposures may add to complex trait prediction independently of PGS. MS and PGS were calculated based on genotype data and DNA-methylation data in blood samples from adults (Illumina 450 K; N = 2,431; mean age 35.6) and in buccal samples from children (Illumina EPIC; N = 1,128; mean age 9.6) from the Netherlands Twin Register. Weights to construct the scores were obtained from results of large epigenome-wide association studies (EWASs) based on whole blood or cord blood methylation data and genome-wide association studies (GWASs). In adults, MSs in blood predicted independently from PGSs, and outperformed PGSs for BMI, prenatal maternal smoking, and smoking status, but not for birth weight. The largest amount of variance explained by the multi-omics prediction model was for current vs. never smoking (54.6%) of which 54.4% was captured by the MS. The two predictors captured 16% of former vs. never smoking initiation variance (MS:15.5%, PGS: 0.5%), 17.7% of prenatal maternal smoking variance (MS:16.9%, PGS: 0.8%), 11.9% of BMI variance (MS: 6.4%, PGS 5.5%), and 1.9% of birth weight variance (MS: 0.4%, PGS: 1.5%). In children, MSs in buccal samples did not show independent predictive value. The largest amount of variance explained by the two predictors was for prenatal maternal smoking (2.6%), where the MSs contributed 1.5%. These results demonstrate that blood DNA MS in adults explain substantial variance in current smoking, large variance in former smoking, prenatal smoking, and BMI, but not in birth weight. Buccal cell DNA methylation scores have lower predictive value, which could be due to different tissues in the EWAS discovery studies and target sample, as well as to different ages. This study illustrates the value of combining polygenic scores with information from methylation data for complex traits and exposure prediction." @default.
• W3187561549 created "2021-08-16" @default.
• W3187561549 creator A5015624790 @default.
• W3187561549 creator A5029024758 @default.
• W3187561549 creator A5029365341 @default.
• W3187561549 creator A5030361918 @default.
• W3187561549 creator A5034271021 @default.
• W3187561549 creator A5038334172 @default.
• W3187561549 creator A5039302958 @default.
• W3187561549 creator A5052374523 @default.
• W3187561549 creator A5062131691 @default.
• W3187561549 creator A5075112556 @default.
• W3187561549 creator A5076062731 @default.
• W3187561549 creator A5079752137 @default.
• W3187561549 creator A5089165491 @default.
• W3187561549 date "2021-07-29" @default.
• W3187561549 modified "2023-10-16" @default.
• W3187561549 title "Predicting Complex Traits and Exposures From Polygenic Scores and Blood and Buccal DNA Methylation Profiles" @default.
• W3187561549 cites W1608887304 @default.
• W3187561549 cites W1744127096 @default.
• W3187561549 cites W1844405070 @default.
• W3187561549 cites W1855058198 @default.
• W3187561549 cites W1869101776 @default.
• W3187561549 cites W1890921467 @default.
• W3187561549 cites W1972219651 @default.
• W3187561549 cites W1975528145 @default.
• W3187561549 cites W2031597554 @default.
• W3187561549 cites W2042334010 @default.
• W3187561549 cites W2060319981 @default.
• W3187561549 cites W2093299566 @default.
• W3187561549 cites W2102177999 @default.
• W3187561549 cites W2108169091 @default.
• W3187561549 cites W2108426587 @default.
• W3187561549 cites W2110748431 @default.
• W3187561549 cites W2113532105 @default.
• W3187561549 cites W2129915465 @default.
• W3187561549 cites W2132731072 @default.
• W3187561549 cites W2142260353 @default.
• W3187561549 cites W2161270864 @default.
• W3187561549 cites W2168447003 @default.
• W3187561549 cites W2174327813 @default.
• W3187561549 cites W2330784827 @default.
• W3187561549 cites W2334107927 @default.
• W3187561549 cites W2415364799 @default.
• W3187561549 cites W2416310901 @default.
• W3187561549 cites W2467232971 @default.
• W3187561549 cites W2510387549 @default.
• W3187561549 cites W2523285199 @default.
• W3187561549 cites W2529024004 @default.
• W3187561549 cites W2560510482 @default.
• W3187561549 cites W2561301122 @default.
• W3187561549 cites W2576832795 @default.
• W3187561549 cites W2753303450 @default.
• W3187561549 cites W2800918431 @default.
• W3187561549 cites W2805155501 @default.
• W3187561549 cites W2884943724 @default.
• W3187561549 cites W2901952863 @default.
• W3187561549 cites W2905114673 @default.
• W3187561549 cites W2909598358 @default.
• W3187561549 cites W2912488489 @default.
• W3187561549 cites W2925596926 @default.
• W3187561549 cites W2936480486 @default.
• W3187561549 cites W2940767756 @default.
• W3187561549 cites W2949073602 @default.
• W3187561549 cites W2951038195 @default.
• W3187561549 cites W2951054519 @default.
• W3187561549 cites W2952883732 @default.
• W3187561549 cites W2953074246 @default.
• W3187561549 cites W2964261691 @default.
• W3187561549 cites W2970347863 @default.
• W3187561549 cites W2973767991 @default.
• W3187561549 cites W2983790886 @default.
• W3187561549 cites W3006589889 @default.
• W3187561549 cites W3013240726 @default.
• W3187561549 cites W3014110367 @default.
• W3187561549 cites W3023331821 @default.
• W3187561549 cites W3045346091 @default.
• W3187561549 cites W3118860930 @default.
• W3187561549 cites W3159271248 @default.
• W3187561549 cites W3163478100 @default.
• W3187561549 doi "https://doi.org/10.3389/fpsyt.2021.688464" @default.
• W3187561549 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/8357987" @default.
• W3187561549 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/34393852" @default.
• W3187561549 hasPublicationYear "2021" @default.
• W3187561549 type Work @default.
• W3187561549 sameAs 3187561549 @default.
• W3187561549 citedByCount "9" @default.
• W3187561549 countsByYear W31875615492021 @default.
• W3187561549 countsByYear W31875615492022 @default.
• W3187561549 countsByYear W31875615492023 @default.
• W3187561549 crossrefType "journal-article" @default.
• W3187561549 hasAuthorship W3187561549A5015624790 @default.
• W3187561549 hasAuthorship W3187561549A5029024758 @default.
• W3187561549 hasAuthorship W3187561549A5029365341 @default.
• W3187561549 hasAuthorship W3187561549A5030361918 @default.
• W3187561549 hasAuthorship W3187561549A5034271021 @default.
• W3187561549 hasAuthorship W3187561549A5038334172 @default.
• W3187561549 hasAuthorship W3187561549A5039302958 @default.
• W3187561549 hasAuthorship W3187561549A5052374523 @default.
• W3187561549 hasAuthorship W3187561549A5062131691 @default.

• next