William Bush

Dr. William Bush

orcid

Research Focus & Metrics

Academic Career Length

22Years (2005-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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4 April 2022 in Nature Genetics
Verified
Journal Article
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CBCéline Bellenguez
Céline Bellenguez
FKFahri Küçükali
Fahri Küçükali
IJIris E. Jansen
Iris E. Jansen
LKLuca Kleineidam
Luca Kleineidam
SMSonia Moreno-Grau
Sonia Moreno-Grau
JLJean-Charles Lambert
Jean-Charles Lambert
Characterization of the genetic landscape of Alzheimer’s disease (AD) and related dementias (ADD) provides a unique opportunity for a better understanding of the associated pathophysiological processes. We performed a two-stage genome-wide association study totaling 111,326 clinically diagnosed/‘proxy’ AD cases and 677,663 controls. We found 75 risk loci, of which 42 were new at the time of analysis. Pathway enrichment analyses confirmed the involvement of amyloid/tau pathways and highlighted microglia implication. Gene prioritization in the new loci identified 31 genes that were suggestive of new genetically associated processes, including the tumor necrosis factor alpha pathway through the linear ubiquitin chain assembly complex. We also built a new genetic risk score associated with the risk of future AD/dementia or progression from mild cognitive impairment to AD/dementia. The improvement in prediction led to a 1.6- to 1.9-fold increase in AD risk from the lowest to the highest decile, in addition to effects of age and the APOE ε4 allele.

27 December 2012 in PLOS Computational Biology
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WBWilliam Bush
William Bush
JMJason H. Moore
Jason H. Moore
Genome-wide association studies (GWAS) have evolved over the last ten years into a powerful tool for investigating the genetic architecture of human disease. In this work, we review 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. We also look forward to the future beyond GWAS.

12 June 2017 in Nature Genetics
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Journal Article
Open access
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SCSpiroMeta Consortium
SpiroMeta Consortium
JMJames D McKay
James D McKay
RHRayjean J Hung
Rayjean J Hung
YHYounghun Han
Younghun Han
XZXuchen Zong
Xuchen Zong
CAChristopher I Amos
Christopher I Amos
Christopher Amos and colleagues perform genome-wide association analysis for lung cancer using cohorts genotyped on the OncoArray and combing these with existing data. They identify 18 loci, 10 of which are new, finding heterogeneity across the different lung cancer subtypes, and explore candidate genes through eQTL analysis in lung tissue. Although several lung cancer susceptibility loci have been identified, much of the heritability for lung cancer remains unexplained. Here 14,803 cases and 12,262 controls of European descent were genotyped on the OncoArray and combined with existing data for an aggregated genome-wide association study (GWAS) analysis of lung cancer in 29,266 cases and 56,450 controls. We identified 18 susceptibility loci achieving genome-wide significance, including 10 new loci. The new loci highlight the striking heterogeneity in genetic susceptibility across the histological subtypes of lung cancer, with four loci associated with lung cancer overall and six loci associated with lung adenocarcinoma. Gene expression quantitative trait locus (eQTL) analysis in 1,425 normal lung tissue samples highlights RNASET2, SECISBP2L and NRG1 as candidate genes. Other loci include genes such as a cholinergic nicotinic receptor, CHRNA2, and the telomere-related genes OFBC1 and RTEL1. Further exploration of the target genes will continue to provide new insights into the etiology of lung cancer.

4 January 2021 in Nature Genetics
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DCDavid V. Conti
David V. Conti
BDBurcu F. Darst
Burcu F. Darst
LMLilit C. Moss
Lilit C. Moss
ESEdward J. Saunders
Edward J. Saunders
XSXin Sheng
Xin Sheng
CHChristopher A. Haiman
Christopher A. Haiman

23 February 2007 in Genetic Epidemiology
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DVDigna R. Velez
Digna R. Velez
BWBill C. White
Bill C. White
AMAlison A. Motsinger
Alison A. Motsinger
WBWilliam Bush
William Bush
MRMarylyn D. Ritchie
Marylyn D. Ritchie
JMJason H. Moore
Jason H. Moore

1 August 2018 in JAMA Neurology
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THTimothy J. Hohman
Timothy J. Hohman
LDLogan Dumitrescu
Logan Dumitrescu
LBLisa L. Barnes
Lisa L. Barnes
MTMadhav Thambisetty
Madhav Thambisetty
GBGary Beecham
Gary Beecham
FIfor the Alzheimer’s Disease Genetics Consortium and the Alzheimer’s Disease Neuroimaging Initiative
for the Alzheimer’s Disease Genetics Consortium and the Alzheimer’s Disease Neuroimaging Initiative
Importance The strongest genetic risk factor for Alzheimer disease (AD), the apolipoprotein E (APOE) gene, has a stronger association among women compared with men. Yet limited work has evaluated the association betweenAPOEalleles and markers of AD neuropathology in a sex-specific manner. Objective To evaluate sex differences in the association betweenAPOEand markers of AD neuropathology measured in cerebrospinal fluid (CSF) during life or in brain tissue at autopsy. Design, Setting, and Participants This multicohort study selected data from 10 longitudinal cohort studies of normal aging and AD. Cohorts had variable recruitment criteria and follow-up intervals and included population-based and clinic-based samples. Inclusion in our analysis requiredAPOEgenotype data and either CSF data available for analysis. Analyses began on November 6, 2017, and were completed on December 20, 2017. Main Outcomes and Measures Biomarker analyses included levels of β-amyloid 42, total tau, and phosphorylated tau measured in CSF. Autopsy analyses included Consortium to Establish a Registry for Alzheimer’s Disease staging for neuritic plaques and Braak staging for neurofibrillary tangles. Results Of the 1798 patients in the CSF biomarker cohort, 862 were women, 226 had AD, 1690 were white, and the mean (SD) age was 70 [9] years. Of the 5109 patients in the autopsy cohort, 2813 were women, 4953 were white, and the mean (SD) age was 84 (9) years. After correcting for multiple comparisons using the Bonferroni procedure, we observed a statistically significant interaction betweenAPOE-ε4 and sex on CSF total tau (β = 0.41; 95% CI, 0.27-0.55;P < .001) and phosphorylated tau (β = 0.24; 95% CI, 0.09-0.38;P = .001), wherebyAPOEshowed a stronger association among women compared with men. Post hoc analyses suggested this sex difference was present in amyloid-positive individuals (β = 0.41; 95% CI, 0.20-0.62;P < .001) but not among amyloid-negative individuals (β = 0.06; 95% CI, −0.18 to 0.31;P = .62). We did not observe sex differences in the association betweenAPOEand β-amyloid 42, neuritic plaque burden, or neurofibrillary tangle burden. Conclusions and Relevance We provide robust evidence of a stronger association betweenAPOE-ε4 and CSF tau levels among women compared with men across multiple independent data sets. Interestingly,APOE-ε4 is not differentially associated with autopsy measures of neurofibrillary tangles. Together, the sex difference in the association betweenAPOEand CSF measures of tau and the lack of a sex difference in the association with neurofibrillary tangles at autopsy suggest thatAPOEmay modulate risk for neurodegeneration in a sex-specific manner, particularly in the presence of amyloidosis.