L
Laura J. Scott
Researcher at University of Michigan
Publications - 178
Citations - 60906
Laura J. Scott is an academic researcher from University of Michigan. The author has contributed to research in topics: Genome-wide association study & Type 2 diabetes. The author has an hindex of 78, co-authored 166 publications receiving 53515 citations. Previous affiliations of Laura J. Scott include National Institutes of Health & SUNY Downstate Medical Center.
Papers
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Differential Expression Analysis for RNAseq using Poisson Mixed Models
TL;DR: A Poisson mixed model with two random effects terms that account for both independent over-dispersion and sample non-independence is presented and a scalable sampling-based inference algorithm using a latent variable representation of the Poisson distribution is developed.
Journal ArticleDOI
Detection of cis-acting regulatory SNPs using allelic expression data
Rui Xiao,Rui Xiao,Laura J. Scott +2 more
TL;DR: Three tests for AE analysis focusing on phase‐unknown data and any degree of linkage disequilibrium between the rSNP and tSNP are proposed: a test based on the minimum P‐value of a one‐sided F test and a two‐sided t test, a test the combines the F and t tests, and a mixture‐model‐based test.
Journal ArticleDOI
Heritability of the Fibromyalgia Phenotype Varies by Age
Diptavo Dutta,Chad M. Brummett,Stephanie E. Moser,Lars G. Fritsche,Alexander Tsodikov,Seunggeun Lee,Daniel J. Clauw,Laura J. Scott +7 more
TL;DR: This study was undertaken to estimate the genetic heritability of the FM score across sex and age groups to identify subgroups of individuals with greater heritability, which may help in the design of future genetic studies.
Journal ArticleDOI
Broad-Enrich: functional interpretation of large sets of broad genomic regions.
Raymond G. Cavalcante,Chee Lee,Ryan P. Welch,Snehal Patil,Terry E. Weymouth,Laura J. Scott,Maureen A. Sartor +6 more
TL;DR: Broad-Enrich is developed, a method that uses the proportion of each gene’s locus covered by a peak to incorporate the unique properties of broad domains into functional enrichment testing, and shows that it has a well-calibrated false-positive rate, performing well with ChIP-seq data having broad domains compared with alternative approaches.
Posted ContentDOI
Genomic Prediction of Depression Risk and Resilience Under Stress
TL;DR: Findings suggest that polygenic risk score holds promise in furthering the ability to predict vulnerability and resilience under stress, and that low MDD-PRS may have particular utility in identifying individuals with high resilience.