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. 2020 Jul 22;8(1):e001126. doi: 10.1136/bmjdrc-2019-001126

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© Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.

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Scatterplots with regression lines for selected m/z features associated with hepatic fat fraction in integrative network analysis and multiple linear regression. The x-axis is square root-transformed hepatic fat fraction, and the y-axis is log-transformed ion abundance of each m/z feature. All m/z features shown were annotated or identified at level 2 or level 1, respectively, based on the Metabolomics Standards Initiative criteria, to the adduct listed in parentheses. Reported β-coefficients and their p values were calculated using multivariable linear regression of hepatic fat fraction with each m/z feature adjusted for age, sex, race/ethnicity, body mass index z-score, and abdominal fats. m/z, mass to charge ratio.