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Biology

Biology: Faculty Publications and Other Works

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Multivariate Adaptive Shrinkage Improves Cross-Population Transcriptome Prediction And Association Studies In Underrepresented Populations, Daniel Araujo, Chris Nguyen, Xiaowei Hu, Anna V. Mikhaylova, Christopher R. Gignoux, Kristin Ardlie, Kent D. Taylor, Peter Durda, Yongmei Liu, George Papanicolaou, Michael H. Cho, Stephen S. Rich, Jerome I. Rotter, Nhlbi Topmed Consortium, Hae Kyung Im, Ani Manichaikul, Heather Wheeler Oct 2023

Multivariate Adaptive Shrinkage Improves Cross-Population Transcriptome Prediction And Association Studies In Underrepresented Populations, Daniel Araujo, Chris Nguyen, Xiaowei Hu, Anna V. Mikhaylova, Christopher R. Gignoux, Kristin Ardlie, Kent D. Taylor, Peter Durda, Yongmei Liu, George Papanicolaou, Michael H. Cho, Stephen S. Rich, Jerome I. Rotter, Nhlbi Topmed Consortium, Hae Kyung Im, Ani Manichaikul, Heather Wheeler

Biology: Faculty Publications and Other Works

Transcriptome prediction models built with data from European-descent individuals are less accurate when applied to different populations because of differences in linkage disequilibrium patterns and allele frequencies. We hypothesized that methods that leverage shared regulatory effects across different conditions, in this case, across different populations, may improve cross-population transcriptome prediction. To test this hypothesis, we made transcriptome prediction models for use in transcriptome-wide association studies (TWASs) using different methods (elastic net, joint-tissue imputation [JTI], matrix expression quantitative trait loci [Matrix eQTL], multivariate adaptive shrinkage in R [MASHR], and transcriptome-integrated genetic association resource [TIGAR]) and tested their out-of-sample transcriptome prediction accuracy …


Genetic And Transcriptional Analysis Of Human Host Response To Healthy Gut Microbiota, Michael B. Burns, Allison L. Richards, Adnan Alazizi, Luis B. Barreiro, Roger Pique-Regi, Ran Blekhman, Francesca Luca Aug 2016

Genetic And Transcriptional Analysis Of Human Host Response To Healthy Gut Microbiota, Michael B. Burns, Allison L. Richards, Adnan Alazizi, Luis B. Barreiro, Roger Pique-Regi, Ran Blekhman, Francesca Luca

Biology: Faculty Publications and Other Works

Many studies have demonstrated the importance of the gut microbiota in healthy and disease states. However, establishing the causality of host-microbiota interactions in humans is still challenging. Here, we describe a novel experimental system to define the transcriptional response induced by the microbiota for human cells and to shed light on the molecular mechanisms underlying host-gut microbiota interactions. In primary human colonic epithelial cells, we identified over 6,000 genes whose expression changed at various time points following coculturing with the gut microbiota of a healthy individual. Among the differentially expressed genes we found a 1.8-fold enrichment of genes associated with …