Cargando…

Exploring the phenotypic consequences of tissue specific gene expression variation inferred from GWAS summary statistics

Scalable, integrative methods to understand mechanisms that link genetic variants with phenotypes are needed. Here we derive a mathematical expression to compute PrediXcan (a gene mapping approach) results using summary data (S-PrediXcan) and show its accuracy and general robustness to misspecified...

Descripción completa

Detalles Bibliográficos
Autores principales:	Barbeira, Alvaro N., Dickinson, Scott P., Bonazzola, Rodrigo, Zheng, Jiamao, Wheeler, Heather E., Torres, Jason M., Torstenson, Eric S., Shah, Kaanan P., Garcia, Tzintzuni, Edwards, Todd L., Stahl, Eli A., Huckins, Laura M., Nicolae, Dan L., Cox, Nancy J., Im, Hae Kyung
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Nature Publishing Group UK 2018
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5940825/ https://www.ncbi.nlm.nih.gov/pubmed/29739930 http://dx.doi.org/10.1038/s41467-018-03621-1

Ejemplares similares

Survey of the Heritability and Sparse Architecture of Gene Expression Traits across Human Tissues
por: Wheeler, Heather E., et al.
Publicado: (2016)

Integrating predicted transcriptome from multiple tissues improves association detection
por: Barbeira, Alvaro N., et al.
Publicado: (2019)

Impact of admixture and ancestry on eQTL analysis and GWAS colocalization in GTEx
por: Gay, Nicole R., et al.
Publicado: (2020)

Combining Mendelian randomization and network deconvolution for inference of causal networks with GWAS summary data
por: Lin, Zhaotong, et al.
Publicado: (2023)

Causal associations between risk factors and common diseases inferred from GWAS summary data
por: Zhu, Zhihong, et al.
Publicado: (2018)

Inferring causal direction between two traits in the presence of horizontal pleiotropy with GWAS summary data
por: Xue, Haoran, et al.
Publicado: (2020)

Robust inference of bi-directional causal relationships in presence of correlated pleiotropy with GWAS summary data
por: Xue, Haoran, et al.
Publicado: (2022)

Imputed gene associations identify replicable trans‐acting genes enriched in transcription pathways and complex traits
por: Wheeler, Heather E., et al.
Publicado: (2019)

Exploiting the GTEx resources to decipher the mechanisms at GWAS loci
por: Barbeira, Alvaro N., et al.
Publicado: (2021)

Fine‐mapping and QTL tissue‐sharing information improves the reliability of causal gene identification
por: Barbeira, Alvaro N., et al.
Publicado: (2020)

Workshop proceedings: GWAS summary statistics standards and sharing
por: MacArthur, Jacqueline A.L., et al.
Publicado: (2021)

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

Identifying genes associated with brain volumetric differences through tissue specific transcriptomic inference from GWAS summary data
por: Mai, Hung, et al.
Publicado: (2022)

A gene-based association method for mapping traits using reference transcriptome data
por: Gamazon, Eric R., et al.
Publicado: (2015)

Sharing GWAS summary statistics results in more citations
por: Reales, Guillermo, et al.
Publicado: (2023)

simGWAS: a fast method for simulation of large scale case–control GWAS summary statistics
por: Fortune, Mary D, et al.
Publicado: (2019)

GWAS Explorer: an open-source tool to explore, visualize, and access GWAS summary statistics in the PLCO Atlas
por: Machiela, Mitchell J., et al.
Publicado: (2023)

GWAS to Sequencing: Divergence in Study Design and Analysis
por: King, Christopher Ryan, et al.
Publicado: (2014)

Dirichlet process model for joint haplotype inference and GWAS
por: Sahu, Avinash Das, et al.
Publicado: (2012)

Implicit bias of encoded variables: frameworks for addressing structured bias in EHR–GWAS data
por: Dueñas, Hillary R, et al.
Publicado: (2020)

Identifying and correcting for misspecifications in GWAS summary statistics and polygenic scores
por: Privé, Florian, et al.
Publicado: (2022)

Guidelines for Evaluating the Comparability of Down-Sampled GWAS Summary Statistics
por: Williams, Camille M., et al.
Publicado: (2023)

Using GWAS summary data to impute traits for genotyped individuals
por: Ren, Jingchen, et al.
Publicado: (2023)

Guidelines for Evaluating the Comparability of Down-Sampled GWAS Summary Statistics
por: Williams, Camille M., et al.
Publicado: (2023)

Annotation-free quantification of RNA splicing using LeafCutter
por: Li, Yang I, et al.
Publicado: (2017)

PUMAS: fine-tuning polygenic risk scores with GWAS summary statistics
por: Zhao, Zijie, et al.
Publicado: (2021)

Improved analyses of GWAS summary statistics by reducing data heterogeneity and errors
por: Chen, Wenhan, et al.
Publicado: (2021)

Reconstructing SNP allele and genotype frequencies from GWAS summary statistics
por: Yang, Zhiyu, et al.
Publicado: (2022)

A gene based combination test using GWAS summary data
por: Zhang, Jianjun, et al.
Publicado: (2023)

sn-spMF: matrix factorization informs tissue-specific genetic regulation of gene expression
por: He, Yuan, et al.
Publicado: (2020)

CONQUER: an interactive toolbox to understand functional consequences of GWAS hits
por: Bouland, Gerard A, et al.
Publicado: (2020)

Landscape of Conditional eQTL in Dorsolateral Prefrontal Cortex and Co-localization with Schizophrenia GWAS
por: Dobbyn, Amanda, et al.
Publicado: (2018)

Trait-Associated SNPs Are More Likely to Be eQTLs: Annotation to Enhance Discovery from GWAS
por: Nicolae, Dan L., et al.
Publicado: (2010)

Quantifying Missing Heritability at Known GWAS Loci
por: Gusev, Alexander, et al.
Publicado: (2013)

Estimating Effect Sizes and Expected Replication Probabilities from GWAS Summary Statistics
por: Holland, Dominic, et al.
Publicado: (2016)

Across-cohort QC analyses of GWAS summary statistics from complex traits
por: Chen, Guo-Bo, et al.
Publicado: (2017)

The variant call format provides efficient and robust storage of GWAS summary statistics
por: Lyon, Matthew S., et al.
Publicado: (2021)

Integration of multidimensional splicing data and GWAS summary statistics for risk gene discovery
por: Ji, Ying, et al.
Publicado: (2022)

SumStatsRehab: an efficient algorithm for GWAS summary statistics assessment and restoration
por: Matushyn, Mykyta, et al.
Publicado: (2022)

Joint analysis of GWAS and multi-omics QTL summary statistics reveals a large fraction of GWAS signals shared with molecular phenotypes
por: Wu, Yang, et al.
Publicado: (2023)

Cannot write session to /tmp/vufind_sessions/sess_2605294ptt8f04kj29nsnpeima