Cargando…

BIGwas: Single-command quality control and association testing for multi-cohort and biobank-scale GWAS/PheWAS data

BACKGROUND: Genome-wide association studies (GWAS) and phenome-wide association studies (PheWAS) involving 1 million GWAS samples from dozens of population-based biobanks present a considerable computational challenge and are carried out by large scientific groups under great expenditure of time and...

Descripción completa

Detalles Bibliográficos
Autores principales:	Kässens, Jan Christian, Wienbrandt, Lars, Ellinghaus, David
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Oxford University Press 2021
Materias:	Technical Note
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8239664/ https://www.ncbi.nlm.nih.gov/pubmed/34184051 http://dx.doi.org/10.1093/gigascience/giab047

Ejemplares similares

Learning Opportunities for Drug Repositioning via GWAS and PheWAS Findings
por: Yin, Wen, et al.
Publicado: (2018)

GWAS and PheWAS of red blood cell components in a Northern Nevadan cohort
por: Read, Robert W., et al.
Publicado: (2019)

Discovering comorbid diseases using an inter-disease interactivity network based on biobank-scale PheWAS data
por: Nam, Yonghyun, et al.
Publicado: (2022)

Visually integrating and exploring high throughput Phenome-Wide Association Study (PheWAS) results using PheWAS-View
por: Pendergrass, Sarah A, et al.
Publicado: (2012)

A cross-disorder PRS-pheWAS of 5 major psychiatric disorders in UK Biobank
por: Leppert, Beate, et al.
Publicado: (2020)

Realising the full potential of MR-PHeWAS in cancer
por: Bowden, Jack
Publicado: (2020)

Active repurposing of drug candidates for melanoma based on GWAS, PheWAS and a wide range of omics data
por: Khosravi, Ali, et al.
Publicado: (2019)

netCRS: Network-based comorbidity risk score for prediction of myocardial infarction using biobank-scaled PheWAS data
por: Nam, Yonghyun, et al.
Publicado: (2022)

A Compendium of Age-Related PheWAS and GWAS Traits for Human Genetic Association Studies, Their Networks and Genetic Correlations
por: Kim, Seung-Soo, et al.
Publicado: (2021)

Phenome-wide association study (PheWAS) of colorectal cancer risk SNP effects on health outcomes in UK Biobank
por: Zhang, Xiaomeng, et al.
Publicado: (2021)

MR-PheWAS: exploring the causal effect of SUA level on multiple disease outcomes by using genetic instruments in UK Biobank
por: Li, Xue, et al.
Publicado: (2018)

Connecting phenotype to genotype: PheWAS-inspired analysis of autism spectrum disorder
por: Matta, John, et al.
Publicado: (2022)

Mendelian randomization case-control PheWAS in UK Biobank shows evidence of causality for smoking intensity in 28 distinct clinical conditions
por: King, Catherine, et al.
Publicado: (2020)

PheWAS-Based Systems Genetics Methods for Anti-Breast Cancer Drug Discovery
por: Gao, Min, et al.
Publicado: (2019)

Psychiatric manifestations of rare variation in medically actionable genes: a PheWAS approach
por: Feng, Yen-Chen A., et al.
Publicado: (2022)

Reference-Based Haplotype Phasing with FPGAs
por: Wienbrandt, Lars, et al.
Publicado: (2020)

PheWAS: demonstrating the feasibility of a phenome-wide scan to discover gene–disease associations
por: Denny, Joshua C., et al.
Publicado: (2010)

Human-Disease Phenotype Map Derived from PheWAS across 38,682 Individuals
por: Verma, Anurag, et al.
Publicado: (2019)

MR-PheWAS for the causal effects of serum magnesium on multiple disease outcomes in Caucasian descent
por: Li, Longman, et al.
Publicado: (2021)

PRSice-2: Polygenic Risk Score software for biobank-scale data
por: Choi, Shing Wan, et al.
Publicado: (2019)

A Case-Crossover Phenome-wide association study (PheWAS) for understanding Post-COVID-19 diagnosis patterns
por: Haupert, Spencer R., et al.
Publicado: (2022)

Predictive models for abdominal aortic aneurysms using polygenic scores and PheWAS-derived risk factors
por: Hellwege, Jacklyn N., et al.
Publicado: (2023)

Multi-PheWAS intersection approach to identify sex differences across comorbidities in 59 140 pediatric patients with autism spectrum disorder
por: Gutiérrez-Sacristán, Alba, et al.
Publicado: (2021)

Bionitio: demonstrating and facilitating best practices for bioinformatics command-line software
por: Georgeson, Peter, et al.
Publicado: (2019)

A PheWAS study of a large observational epidemiological cohort of African Americans from the REGARDS study
por: Zhao, Xueyan, et al.
Publicado: (2019)

MR-pheWAS with stratification and interaction: Searching for the causal effects of smoking heaviness identified an effect on facial aging
por: Millard, Louise A. C., et al.
Publicado: (2019)

Boutiques: a flexible framework to integrate command-line applications in computing platforms
por: Glatard, Tristan, et al.
Publicado: (2018)

Deriving GWAS summary estimates for paternal smoking in UK biobank: a GWAS by subtraction
por: Woolf, Benjamin, et al.
Publicado: (2023)

PhenoSpD: an integrated toolkit for phenotypic correlation estimation and multiple testing correction using GWAS summary statistics
por: Zheng, Jie, et al.
Publicado: (2018)

eMERGE Phenome-Wide Association Study (PheWAS) identifies clinical associations and pleiotropy for stop-gain variants
por: Verma, Anurag, et al.
Publicado: (2016)

A phenome-wide association study (PheWAS) to identify the health impacts of 4-cresol sulfate in the Nagahama Study
por: Ou, Huiting, et al.
Publicado: (2023)

Phenome-Wide Association Study (PheWAS) for Detection of Pleiotropy within the Population Architecture using Genomics and Epidemiology (PAGE) Network
por: Pendergrass, Sarah A., et al.
Publicado: (2013)

PheWAS and cross-disorder analysis reveal genetic architecture, pleiotropic loci and phenotypic correlations across 11 autoimmune disorders
por: Topaloudi, Apostolia, et al.
Publicado: (2023)

A phenome-wide association study (PheWAS) of COVID-19 outcomes by race using the electronic health records data in Michigan Medicine
por: Salvatore, Maxwell, et al.
Publicado: (2021)

A Phenome-Wide Association Study (PheWAS) of COVID-19 Outcomes by Race Using the Electronic Health Records Data in Michigan Medicine
por: Salvatore, Maxwell, et al.
Publicado: (2021)

HiView: an integrative genome browser to leverage Hi-C results for the interpretation of GWAS variants
por: Xu, Zheng, et al.
Publicado: (2016)

PheGWAS: a new dimension to visualize GWAS across multiple phenotypes
por: George, Gittu, et al.
Publicado: (2020)

RVD: a command-line program for ultrasensitive rare single nucleotide variant detection using targeted next-generation DNA resequencing
por: Cushing, Anna, et al.
Publicado: (2013)

Longitudinal multiple imputation approaches for body mass index or other variables with very low individual-level variability: the mibmi command in Stata
por: Kontopantelis, Evangelos, et al.
Publicado: (2017)

MR-PheWAS: hypothesis prioritization among potential causal effects of body mass index on many outcomes, using Mendelian randomization
por: Millard, Louise A. C., et al.
Publicado: (2015)

Cannot write session to /tmp/vufind_sessions/sess_l4fv9h1p1his6t0rvtuodn5o06