دورية أكاديمية

Bayesian reassessment of the epigenetic architecture of complex traits

التفاصيل البيبلوغرافية
العنوان: Bayesian reassessment of the epigenetic architecture of complex traits
المؤلفون: Trejo Banos, Daniel, McCartney, Daniel L., Patxot, Marion, Anchieri, Lucas, Battram, Thomas, Christiansen, Colette, Costeira, Ricardo, Walker, Rosie M., Morris, Stewart W., Campbell, Archie, Zhang, Qian, Porteous, David J., McRae, Allan F., Wray, Naomi R., Visscher, Peter M., Haley, Chris S., Evans, Kathryn L., Deary, Ian J., McIntosh, Andrew M., Hemani, Gibran, Bell, Jordana T., Marioni, Riccardo E., Robinson, Matthew R.
المساهمون: All provided within the manuscript Acknowledgements section.
المصدر: Nature Communications ; volume 11, issue 1 ; ISSN 2041-1723
بيانات النشر: Springer Science and Business Media LLC
سنة النشر: 2020
مصطلحات موضوعية: General Physics and Astronomy, General Biochemistry, Genetics and Molecular Biology, General Chemistry, Multidisciplinary
الوصف: Linking epigenetic marks to clinical outcomes improves insight into molecular processes, disease prediction, and therapeutic target identification. Here, a statistical approach is presented to infer the epigenetic architecture of complex disease, determine the variation captured by epigenetic effects, and estimate phenotype-epigenetic probe associations jointly. Implicitly adjusting for probe correlations, data structure (cell-count or relatedness), and single-nucleotide polymorphism (SNP) marker effects, improves association estimates and in 9,448 individuals, 75.7% (95% CI 71.70–79.3) of body mass index (BMI) variation and 45.6% (95% CI 37.3–51.9) of cigarette consumption variation was captured by whole blood methylation array data. Pathway-linked probes of blood cholesterol, lipid transport and sterol metabolism for BMI, and xenobiotic stimuli response for smoking, showed >1.5 times larger associations with >95% posterior inclusion probability. Prediction accuracy improved by 28.7% for BMI and 10.2% for smoking over a LASSO model, with age-, and tissue-specificity, implying associations are a phenotypic consequence rather than causal.
نوع الوثيقة: article in journal/newspaper
اللغة: English
DOI: 10.1038/s41467-020-16520-1
الإتاحة: https://doi.org/10.1038/s41467-020-16520-1Test
https://www.nature.com/articles/s41467-020-16520-1.pdfTest
https://www.nature.com/articles/s41467-020-16520-1Test
حقوق: https://creativecommons.org/licenses/by/4.0Test ; https://creativecommons.org/licenses/by/4.0Test
رقم الانضمام: edsbas.D2C1C1D0
قاعدة البيانات: BASE