J
Jennifer Webster
Researcher at Brown University
Publications - 50
Citations - 3926
Jennifer Webster is an academic researcher from Brown University. The author has contributed to research in topics: Single-nucleotide polymorphism & Population. The author has an hindex of 23, co-authored 46 publications receiving 3595 citations. Previous affiliations of Jennifer Webster include Kaiser Permanente & University of Tennessee Health Science Center.
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Journal ArticleDOI
A high-density whole-genome association study reveals that APOE is the major susceptibility gene for sporadic late-onset Alzheimer's disease
Keith D. Coon,Amanda J. Myers,David Craig,Jennifer Webster,John V. Pearson,Diane Hu Lince,Victoria Zismann,Thomas G. Beach,Doris G. Leung,Leslie Bryden,Rebecca F. Halperin,Lauren Marlowe,Mona Kaleem,Douglas G. Walker,Rivka Ravid,Christopher B. Heward,Joseph Rogers,Andreas Papassotiropoulos,Andreas Papassotiropoulos,Eric M. Reiman,John Hardy,Dietrich A. Stephan +21 more
TL;DR: This study provides empirical support for the suggestion that the APOE locus is the major susceptibility gene for late-onset AD in the human genome, with an OR significantly greater than any other locus in thehuman genome.
Journal ArticleDOI
A survey of genetic human cortical gene expression.
Amanda J. Myers,Amanda J. Myers,J. Raphael Gibbs,Jennifer Webster,Kristen Rohrer,Alice Zhao,Lauren Marlowe,Mona Kaleem,Doris G. Leung,Leslie Bryden,Priti Nath,Victoria Zismann,Keta Joshipura,Matthew J. Huentelman,Diane Hu-Lince,Keith D. Coon,Keith D. Coon,David Craig,John V. Pearson,Peter Holmans,Christopher B. Heward,Eric M. Reiman,Dietrich A. Stephan,John Hardy +23 more
TL;DR: This work has carried out whole-genome genotyping and expression analysis on a series of 193 neuropathologically normal human brain samples using the Affymetrix GeneChip Human Mapping 500K Array Set and Illumina HumanRefseq-8 Expression BeadChip platforms and presents data showing that 58% of the transcriptome is cortically expressed in at least 5% of the authors' samples and that of these cortically expression transcripts, 21% have expression profiles that correlate with their genotype.
Journal ArticleDOI
GAB2 Alleles Modify Alzheimer's Risk in APOE ε4 Carriers
Eric M. Reiman,Jennifer Webster,Amanda J. Myers,Amanda J. Myers,John Hardy,John Hardy,Travis Dunckley,Victoria Zismann,Keta Joshipura,John V. Pearson,Diane Hu-Lince,Matthew J. Huentelman,David Craig,Keith D. Coon,Keith D. Coon,Winnie S. Liang,Ri Lee H. Herbert,Thomas G. Beach,Kristen Rohrer,Alice S. Zhao,Doris G. Leung,Leslie Bryden,Lauren Marlowe,Mona Kaleem,Diego Mastroeni,Andrew Grover,Christopher B. Heward,Rivka Ravid,Joseph Rogers,Mike Hutton,Stacey Melquist,R. C. Petersen,Gene E. Alexander,Richard J. Caselli,Walter A. Kukull,Andreas Papassotiropoulos,Andreas Papassotiropoulos,Dietrich A. Stephan +37 more
TL;DR: The findings suggest that GAB2 modifies LOAD risk in APOE epsilon4 carriers and influences Alzheimer's neuropathology.
Journal ArticleDOI
Microarray and genetic analysis of electron transfer to electrodes in Geobacter sulfurreducens
Dawn E. Holmes,Swades K. Chaudhuri,Kelly P. Nevin,Teena Mehta,Barbara A. Methé,Anna Liu,Joy E. Ward,Trevor L. Woodard,Jennifer Webster,Derek R. Lovley +9 more
TL;DR: A whole-genome analysis of gene expression in Geobacter sulfurreducens revealed 474 genes with transcript levels that were significantly different during growth with an electrode as the sole electron acceptor versus growth on Fe(III) citrate as mentioned in this paper.
Journal ArticleDOI
Genetic Control of Human Brain Transcript Expression in Alzheimer Disease
Jennifer Webster,Jennifer Webster,J. Raphael Gibbs,J. Raphael Gibbs,Jennifer Clarke,Monika Ray,Weixiong Zhang,Peter Holmans,Kristen Rohrer,Alice Zhao,Lauren Marlowe,Mona Kaleem,Donald S. McCorquodale,Cindy Cuello,Doris G. Leung,Leslie Bryden,Priti Nath,Victoria Zismann,Keta Joshipura,Matthew J. Huentelman,Diane Hu-Lince,Keith D. Coon,Keith D. Coon,David Craig,John V. Pearson,Christopher B. Heward,Eric M. Reiman,Dietrich A. Stephan,John Hardy,John Hardy,Amanda J. Myers,Amanda J. Myers +31 more
TL;DR: This study shows how the relationship between common inherited genetic variants and brain transcript expression can be used in the study of human brain disorders and suggests that studying the transcriptome as a quantitative endo-phenotype has greater power for discovering risk SNPs influencing expression than the use of discrete diagnostic categories.