Life Sciences Commons^™

Associations Of Circulating Very-Long-Chain Saturated Fatty Acids And Incident Type 2 Diabetes: A Pooled Analysis Of Prospective Cohort Studies, Amanda M. Fretts, Fumiaki Imamura, Matti Marklund, Renata Micha, Jason H. Y. Wu, Rachel A. Murphy, Kuo-Liong Chien, Barbara Mcknight, Nathan L. Tintle, Nita G. Forouhi, Waqas T. Qureshi, Jyrki K. Virtanen, Kerry Wong, Alexis C. Wood, Maria Lankinen, Kalina Rajaobelina, Tamara B. Harris, Luc Djousse, Bill Harris, Nick J. Wareham, Lyn M. Steffen, Markku Laakso, Jenna Veenstra, Cecilia Samieri, Ingeborg A. Brouwer, Chaoyu Ian Yu, Albert Koulman, Brian T. Steffen, Catherine Helmer, Nona Sotoodehnia, David Siscovick, Vilmunder Gudnason, Interact Consortium, Lynne Wagenknecht, Sari Voutilainen, Michael Y. Tsai, Matti Uusitupa, Anya Kalsbeek, Claudine Berr, Dariush Mozaffarian, Rozenn N. Lemaitre

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Background: Saturated fatty acids (SFAs) of different chain lengths have unique metabolic and biological effects, and a small number of recent studies suggest that higher circulating concentrations of the very-long-chain SFAs (VLSFAs) arachidic acid (20:0), behenic acid (22:0), and lignoceric acid (24:0) are associated with a lower risk of diabetes. Confirmation of these findings in a large and diverse population is needed.

Objective: We investigated the associations of circulating VLSFAs 20:0, 22:0, and 24:0 with incident type 2 diabetes in prospective studies.

Methods: Twelve studies that are part of the Fatty Acids and Outcomes Research Consortium participated in the analysis. …

A Botanist's Take On The Fruits Of The Spirit, Jeff Ploegstra

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"Love, joy, peace, patience, kindness, goodness, faithfulness, gentleness, and self-control are all signs of a vital and thriving relationship with Christ, but at the heart of these fruits lies a seed."

Posting about living out Christ-like virtues from In All Things - an online journal for critical reflection on faith, culture, art, and every ordinary-yet-graced square inch of God’s creation.

https://inallthings.org/a-botanists-take-on-the-fruits-of-the-spirit/

Leveraging Summary Statistics To Make Inferences About Complex Phenotypes In Large Biobanks, Angela Gasdaska, Derek Friend, Rachel Chen, Jason Westra, Matthew Zawistowski, William Lindsey, Nathan L. Tintle

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As genetic sequencing becomes less expensive and data sets linking genetic data and medical records (e.g., Biobanks) become larger and more common, issues of data privacy and computational challenges become more necessary to address in order to realize the benefits of these datasets. One possibility for alleviating these issues is through the use of already-computed summary statistics (e.g., slopes and standard errors from a regression model of a phenotype on a genotype). If groups share summary statistics from their analyses of biobanks, many of the privacy issues and computational challenges concerning the access of these data could be bypassed. In …

Implementing And Evaluating A Gaussian Mixture Framework For Identifying Gene Function From Tnseq Data, Kevin Li, Rachel Chen, William Lindsey, Aaron Best, Matthew Dejongh, Christopher Henry, Nathan L. Tintle

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The rapid acceleration of microbial genome sequencing increases opportunities to understand bacterial gene function. Unfortunately, only a small proportion of genes have been studied. Recently, TnSeq has been proposed as a cost-effective, highly reliable approach to predict gene functions as a response to changes in a cell's fitness before-after genomic changes. However, major questions remain about how to best determine whether an observed quantitative change in fitness represents a meaningful change. To address the limitation, we develop a Gaussian mixture model framework for classifying gene function from TnSeq experiments. In order to implement the mixture model, we present the Expectation-Maximization …