دورية أكاديمية
Methylome-wide studies of six metabolic traits.
| العنوان: | Methylome-wide studies of six metabolic traits. |
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| المؤلفون: | Smith HM; Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK., Ng HK; Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore., Moodie JE; Lothian Birth Cohorts, Department of Psychology, University of Edinburgh, Edinburgh, UK., Gadd DA; Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK., McCartney DL; Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK., Bernabeu E; Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK., Campbell A; Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK., Redmond P; Lothian Birth Cohorts, Department of Psychology, University of Edinburgh, Edinburgh, UK., Taylor A; Lothian Birth Cohorts, Department of Psychology, University of Edinburgh, Edinburgh, UK., Page D; Lothian Birth Cohorts, Department of Psychology, University of Edinburgh, Edinburgh, UK., Corley J; Lothian Birth Cohorts, Department of Psychology, University of Edinburgh, Edinburgh, UK., Harris SE; Lothian Birth Cohorts, Department of Psychology, University of Edinburgh, Edinburgh, UK., Tay D; Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore., Deary IJ; Lothian Birth Cohorts, Department of Psychology, University of Edinburgh, Edinburgh, UK., Evans KL; Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK., Robinson MR; Institute of Science and Technology Austria, Am Campus 1, 3400 Klosterneuburg, Austria., Chambers JC; Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore.; Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK., Loh M; Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore.; Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.; Genome Institute of Singapore (GIS), Agency for Science, Technology and Research (A*STAR), Singapore., Cox SR; Lothian Birth Cohorts, Department of Psychology, University of Edinburgh, Edinburgh, UK., Marioni RE; Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK., Hillary RF; Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK. |
| المصدر: | MedRxiv : the preprint server for health sciences [medRxiv] 2024 May 29. Date of Electronic Publication: 2024 May 29. |
| نوع المنشور: | Journal Article; Preprint |
| اللغة: | English |
| بيانات الدورية: | Country of Publication: United States NLM ID: 101767986 Publication Model: Electronic Cited Medium: Internet NLM ISO Abbreviation: medRxiv Subsets: PubMed not MEDLINE |
| مستخلص: | Exploring the molecular correlates of metabolic health measures may identify the shared and unique biological processes and pathways that they track. Here, we performed epigenome-wide association studies (EWASs) of six metabolic traits: body mass index (BMI), body fat percentage, waist-hip ratio (WHR), and blood-based measures of glucose, high-density lipoprotein (HDL) cholesterol, and total cholesterol. We considered blood-based DNA methylation (DNAm) from >750,000 CpG sites in over 17,000 volunteers from the Generation Scotland (GS) cohort. Linear regression analyses identified between 304 and 11,815 significant CpGs per trait at P<3.6×10 -8 , with 37 significant CpG sites across all six traits. Further, we performed a Bayesian EWAS that jointly models all CpGs simultaneously and conditionally on each other, as opposed to the marginal linear regression analyses. This identified between 3 and 27 CpGs with a posterior inclusion probability ≥ 0.95 across the six traits. Next, we used elastic net penalised regression to train epigenetic scores (EpiScores) of each trait in GS, which were then tested in the Lothian Birth Cohort 1936 (LBC1936; European ancestry) and Health for Life in Singapore (HELIOS; Indian-, Malay- and Chinese-ancestries). A maximum of 27.1% of the variance in BMI was explained by the BMI EpiScore in the subset of Malay-ancestry Singaporeans. Four metabolic EpiScores were associated with general cognitive function in LBC1936 in models adjusted for vascular risk factors (Standardised β Competing Interests: R.E.M has received a speaker fee from Illumina, is an advisor to the Epigenetic Clock Development Foundation and Optima Partners Ltd. D.A.G and D.L.M. are employed by Optima Partners Ltd in a part-time capacity. R.F.H has acted as a scientific consultant to Optima Partner Ltd and has received consultant fees from Illumina. The remaining authors declare no competing interests. |
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| معلومات مُعتمدة: | United Kingdom WT_ Wellcome Trust; R01 AG054628 United States AG NIA NIH HHS |
| تواريخ الأحداث: | Date Created: 20240610 Latest Revision: 20240613 |
| رمز التحديث: | 20240613 |
| مُعرف محوري في PubMed: | PMC11160850 |
| DOI: | 10.1101/2024.05.29.24308103 |
| PMID: | 38853823 |
| قاعدة البيانات: | MEDLINE |
| DOI: | 10.1101/2024.05.29.24308103 |
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