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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.

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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.
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Detection of cis-acting regulatory SNPs using allelic expression data

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.
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Heritability of the Fibromyalgia Phenotype Varies by Age

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.
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Broad-Enrich: functional interpretation of large sets of broad genomic regions.

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.