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William S. Bush

Researcher at Case Western Reserve University

Publications -  201
Citations -  7901

William S. Bush is an academic researcher from Case Western Reserve University. The author has contributed to research in topics: Genome-wide association study & Population. The author has an hindex of 38, co-authored 163 publications receiving 5912 citations. Previous affiliations of William S. Bush include Vanderbilt University Medical Center & Vanderbilt University.

Papers
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Chapter 11: Genome-wide association studies.

William S. Bush, +1 more
- 27 Dec 2012 - 
TL;DR: This work reviews the key concepts underlying GWAS, including the architecture of common diseases, the structure of common human genetic variation, technologies for capturing genetic information, study designs, and the statistical methods used for data analysis.
Journal ArticleDOI

Large-scale association analysis identifies new lung cancer susceptibility loci and heterogeneity in genetic susceptibility across histological subtypes

James D. McKay, +146 more
- 12 Jun 2017 - 
TL;DR: 18 susceptibility loci achieving genome-wide significance are identified, including 10 new loci linked with lung cancer overall and six loci associated with lung adenocarcinoma, highlighting the striking heterogeneity in genetic susceptibility across the histological subtypes of lung cancer.
Journal ArticleDOI

New insights into the genetic etiology of Alzheimer’s disease and related dementias

Céline Bellenguez, +401 more
- 01 Apr 2022 - 
TL;DR: This paper performed a two-stage genome-wide association study with 111,326 clinically diagnosed/proxy AD cases and 677,663 controls and found 75 risk loci, of which 42 were new at the time of analysis.
Patent

Hands-free, voice-operated remote control transmitter

William S. Bush, +1 more
TL;DR: In this paper, a wireless, programmable, sound-activated and voice-operated remote control transmitter can be used to add hands-free speech control operation to a plurality of remotely controlled appliances manufactured by various manufacturers.
Journal ArticleDOI

A balanced accuracy function for epistasis modeling in imbalanced datasets using multifactor dimensionality reduction

Digna R. Velez, +6 more
- 01 May 2007 - 
TL;DR: The results suggest that balanced accuracy should be used instead of accuracy for the MDR analysis of epistasis in imbalanced datasets.