Cargando…

Identifying causal variants by fine mapping across multiple studies

Increasingly large Genome-Wide Association Studies (GWAS) have yielded numerous variants associated with many complex traits, motivating the development of “fine mapping” methods to identify which of the associated variants are causal. Additionally, GWAS of the same trait for different populations a...

Descripción completa

Detalles Bibliográficos
Autores principales:	LaPierre, Nathan, Taraszka, Kodi, Huang, Helen, He, Rosemary, Hormozdiari, Farhad, Eskin, Eleazar
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Public Library of Science 2021
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8491908/ https://www.ncbi.nlm.nih.gov/pubmed/34543273 http://dx.doi.org/10.1371/journal.pgen.1009733

Ejemplares similares

Integrating Functional Data to Prioritize Causal Variants in Statistical Fine-Mapping Studies
por: Kichaev, Gleb, et al.
Publicado: (2014)

Leveraging pleiotropy for joint analysis of genome-wide association studies with per trait interpretations
por: Taraszka, Kodi, et al.
Publicado: (2022)

Identification of causal genes for complex traits
por: Hormozdiari, Farhad, et al.
Publicado: (2015)

Leveraging allelic imbalance to refine fine-mapping for eQTL studies
por: Zou, Jennifer, et al.
Publicado: (2019)

Assembly of non-unique insertion content using next-generation sequencing
por: Parrish, Nathaniel, et al.
Publicado: (2011)

Multiple testing correction in linear mixed models
por: Joo, Jong Wha J., et al.
Publicado: (2016)

Privacy preserving protocol for detecting genetic relatives using rare variants
por: Hormozdiari, Farhad, et al.
Publicado: (2014)

Fine-mapping of Parkinson’s disease susceptibility loci identifies putative causal variants
por: Schilder, Brian M, et al.
Publicado: (2021)

MARS: leveraging allelic heterogeneity to increase power of association testing
por: Hormozdiari, Farhad, et al.
Publicado: (2021)

Identifying genetic relatives without compromising privacy
por: He, Dan, et al.
Publicado: (2014)

Metalign: efficient alignment-based metagenomic profiling via containment min hash
por: LaPierre, Nathan, et al.
Publicado: (2020)

Leveraging family data to design Mendelian Randomization that is provably robust to population stratification
por: LaPierre, Nathan, et al.
Publicado: (2023)

Robust Mendelian randomization in the presence of residual population stratification, batch effects and horizontal pleiotropy
por: Cinelli, Carlos, et al.
Publicado: (2022)

Genetic and Epigenetic Fine-Mapping of Causal Autoimmune Disease Variants
por: Farh, Kyle Kai-How, et al.
Publicado: (2014)

Using genomic annotations increases statistical power to detect eGenes
por: Duong, Dat, et al.
Publicado: (2016)

Fine-mapping across diverse ancestries drives the discovery of putative causal variants underlying human complex traits and diseases
por: Yuan, Kai, et al.
Publicado: (2023)

Fine-mapping of prostate cancer susceptibility loci in a large meta-analysis identifies candidate causal variants
por: Dadaev, Tokhir, et al.
Publicado: (2018)

Finding associated variants in genome-wide association studies on multiple traits
por: Gai, Lisa, et al.
Publicado: (2018)

MiCoP: microbial community profiling method for detecting viral and fungal organisms in metagenomic samples
por: LaPierre, Nathan, et al.
Publicado: (2019)

Fine-mapping, trans-ancestral, and genomic analyses identify causal variants, cells, genes, and drug targets for type 1 diabetes
por: Robertson, Catherine C., et al.
Publicado: (2021)

Allele-specific expression and eQTL analysis in mouse adipose tissue
por: Hasin-Brumshtein, Yehudit, et al.
Publicado: (2014)

Fine Mapping of the MAP2K5 Region Identified rs7175517 as a Causal Variant Related to BMI in China and the United Kingdom Populations
por: Lu, Ce, et al.
Publicado: (2022)

Resequencing to Fine Map Known Idiopathic Pulmonary Fibrosis Risk Genes. Homing in on Causal Variants
por: Allen, Richard, et al.
Publicado: (2019)

Precise and Cost-Effective Nanopore Sequencing for Post-GWAS Fine-Mapping and Causal Variant Identification
por: Magdy, Tarek, et al.
Publicado: (2020)

4375 Developing team science for practical applications of artificial intelligence in health systems to improve value and outcomes: A case study in reducing avoidable emergency department use
por: Manuel, Vladimir G., et al.
Publicado: (2020)

Fine Mapping Analysis of the MHC Region to Identify Variants Associated With Chinese Vitiligo and SLE and Association Across These Diseases
por: Cao, Lu, et al.
Publicado: (2022)

Genetic fine-mapping from summary data using a nonlocal prior improves the detection of multiple causal variants
por: Karhunen, Ville, et al.
Publicado: (2023)

Fine mapping of type 1 diabetes susceptibility loci and evidence for colocalization of causal variants with lymphoid gene enhancers
por: Onengut-Gumuscu, Suna, et al.
Publicado: (2015)

Nebula: ultra-efficient mapping-free structural variant genotyper
por: Khorsand, Parsoa, et al.
Publicado: (2021)

Genome‐wide meta‐analysis and fine‐mapping prioritize potential causal variants and genes related to leprosy
por: Wang, Zhenzhen, et al.
Publicado: (2023)

Genome-wide fine-mapping identifies pleiotropic and functional variants that predict many traits across global cattle populations
por: Xiang, Ruidong, et al.
Publicado: (2021)

Fine-mapping causal tissues and genes at disease-associated loci
por: Strober, Benjamin J., et al.
Publicado: (2023)

Fine-mapping and cell-specific enrichment at corneal resistance factor loci prioritize candidate causal regulatory variants
por: Jiang, Xinyi, et al.
Publicado: (2020)

Functionally-informed fine-mapping and polygenic localization of complex trait heritability
por: Weissbrod, Omer, et al.
Publicado: (2020)

RNA polymerase mapping in plants identifies intergenic regulatory elements enriched in causal variants
por: Lozano, Roberto, et al.
Publicado: (2021)

Mapping Genetic Variants Associated with Beta-Adrenergic Responses in Inbred Mice
por: Hersch, Micha, et al.
Publicado: (2012)

Fine Mapping of a Major Backfat QTL Reveals a Causal Regulatory Variant Affecting the CCND2 Gene
por: Oliveira, Haniel C., et al.
Publicado: (2022)

Fine-Mapping of Common Genetic Variants Associated with Colorectal Tumor Risk Identified Potential Functional Variants
por: Du, Mengmeng, et al.
Publicado: (2016)

Correction: Mapping Genetic Variants Associated with Beta-Adrenergic Responses in Inbred Mice
por: Hersch, Micha, et al.
Publicado: (2014)

Leveraging supervised learning for functionally informed fine-mapping of cis-eQTLs identifies an additional 20,913 putative causal eQTLs
por: Wang, Qingbo S., et al.
Publicado: (2021)

Cannot write session to /tmp/vufind_sessions/sess_fb88hrrvgltd4jc0of5jf88hkf