دورية أكاديمية

Uncertainty quantification of reference-based cellular deconvolution algorithms.

التفاصيل البيبلوغرافية
العنوان: Uncertainty quantification of reference-based cellular deconvolution algorithms.
المؤلفون: Vellame, Dorothea Seiler, Shireby, Gemma, MacCalman, Ailsa, Dempster, Emma L., Burrage, Joe, Gorrie-Stone, Tyler, Schalkwyk, Leonard S., Mill, Jonathan, Hannon, Eilis
المصدر: Epigenetics; 2023, Vol. 18 Issue 1, p1-15, 15p
مصطلحات موضوعية: BIOLOGICAL variation, DNA methylation, OLDER people, ALGORITHMS, HETEROGENEITY
مستخلص: The majority of epigenetic epidemiology studies to date have generated genome-wide profiles from bulk tissues (e.g., whole blood) however these are vulnerable to confounding from variation in cellular composition. Proxies for cellular composition can be mathematically derived from the bulk tissue profiles using a deconvolution algorithm; however, there is no method to assess the validity of these estimates for a dataset where the true cellular proportions are unknown. In this study, we describe, validate and characterize a sample level accuracy metric for derived cellular heterogeneity variables. The CETYGO score captures the deviation between a sample's DNA methylation profile and its expected profile given the estimated cellular proportions and cell type reference profiles. We demonstrate that the CETYGO score consistently distinguishes inaccurate and incomplete deconvolutions when applied to reconstructed whole blood profiles. By applying our novel metric to >6,300 empirical whole blood profiles, we find that estimating accurate cellular composition is influenced by both technical and biological variation. In particular, we show that when using a common reference panel for whole blood, less accurate estimates are generated for females, neonates, older individuals and smokers. Our results highlight the utility of a metric to assess the accuracy of cellular deconvolution, and describe how it can enhance studies of DNA methylation that are reliant on statistical proxies for cellular heterogeneity. To facilitate incorporating our methodology into existing pipelines, we have made it freely available as an R package (https://github.com/ds420/CETYGO). [ABSTRACT FROM AUTHOR]
Copyright of Epigenetics is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
قاعدة البيانات: Complementary Index
الوصف
تدمد:15592294
DOI:10.1080/15592294.2022.2137659