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Random-Effects Model Aimed at Discovering Associations in Meta-Analysis of Genome-wide Association Studies

American journal of human genetics, 2011-05, Vol.88 (5), p.586-598

2011

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Interpreting meta-analyses of genome-wide association studies

PLoS genetics, 2012-03, Vol.8 (3), p.e1002555-e1002555

2012

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Population structure in genetic studies: Confounding factors and mixed models

PLoS genetics, 2018-12, Vol.14 (12), p.e1007309-e1007309

2018

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Systematic benchmarking of omics computational tools

Nature communications, 2019-03, Vol.10 (1), p.1393-1393, Article 1393

2019

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Genome-wide analysis highlights contribution of immune system pathways to the genetic architecture of asthma

Nature communications, 2020-04, Vol.11 (1), p.1776-1776, Article 1776

2020

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Metalign: efficient alignment-based metagenomic profiling via containment min hash

Genome Biology, 2020-09, Vol.21 (1), p.1-242, Article 242

2020

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Leveraging pleiotropy for joint analysis of genome-wide association studies with per trait interpretations

PLoS genetics, 2022-11, Vol.18 (11), p.e1010447-e1010447

2022

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Colocalization of GWAS and eQTL Signals Detects Target Genes

American journal of human genetics, 2016-12, Vol.99 (6), p.1245-1260

2016

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Robust Mendelian randomization in the presence of residual population stratification, batch effects and horizontal pleiotropy

Nature communications, 2022-03, Vol.13 (1), p.1093-1093, Article 1093

2022

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Identifying causal variants by fine mapping across multiple studies

PLoS genetics, 2021-09, Vol.17 (9), p.e1009733-e1009733

2021

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Improving the usability and archival stability of bioinformatics software

Genome Biology, 2019-02, Vol.20 (1), p.47-47, Article 47

2019

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Integrating functional data to prioritize causal variants in statistical fine-mapping studies

PLoS genetics, 2014-10, Vol.10 (10), p.e1004722-e1004722

2014

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Profiling immunoglobulin repertoires across multiple human tissues using RNA sequencing

Nature communications, 2020-06, Vol.11 (1), p.3126-3126, Article 3126

2020

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Efficient multiple-trait association and estimation of genetic correlation using the matrix-variate linear mixed model

Genetics (Austin), 2015-05, Vol.200 (1), p.59-68

2015

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Sparse PCA corrects for cell type heterogeneity in epigenome-wide association studies

Nature methods, 2016-05, Vol.13 (5), p.443-445

2016

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Using an atlas of gene regulation across 44 human tissues to inform complex disease- and trait-associated variation

Nature genetics, 2018-07, Vol.50 (7), p.956-967

2018

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Variance component model to account for sample structure in genome-wide association studies

Nature genetics, 2010-04, Vol.42 (4), p.348-354

2010

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Improved methods for multi-trait fine mapping of pleiotropic risk loci

Bioinformatics (Oxford, England), 2017-01, Vol.33 (2), p.248-255

2017

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Cell-type-specific resolution epigenetics without the need for cell sorting or single-cell biology

Nature communications, 2019-07, Vol.10 (1), p.3417-11, Article 3417

2019

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Rapid and accurate multiple testing correction and power estimation for millions of correlated markers

PLoS genetics, 2009-04, Vol.5 (4), p.e1000456-e1000456

2009

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Leveraging molecular quantitative trait loci to understand the genetic architecture of diseases and complex traits

Nature genetics, 2018-07, Vol.50 (7), p.1041-1047

2018

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Efficient Control of Population Structure in Model Organism Association Mapping

Genetics (Austin), 2008-03, Vol.178 (3), p.1709-1723

2008

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A model-based approach for analysis of spatial structure in genetic data

Nature genetics, 2012-06, Vol.44 (6), p.725-731

2012

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Hidden Treasures in Contemporary RNA Sequencing

1st ed. 2019., 2019

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Genetic Control of Obesity and Gut Microbiota Composition in Response to High-Fat, High-Sucrose Diet in Mice

Cell metabolism, 2013-01, Vol.17 (1), p.141-152

2013

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Random-Effects Model Aimed at Discovering Associations in Meta-Analysis of Genome-wide Association Studies

Interpreting meta-analyses of genome-wide association studies

Population structure in genetic studies: Confounding factors and mixed models

Systematic benchmarking of omics computational tools

Genome-wide analysis highlights contribution of immune system pathways to the genetic architecture of asthma

Metalign: efficient alignment-based metagenomic profiling via containment min hash

Leveraging pleiotropy for joint analysis of genome-wide association studies with per trait interpretations

Colocalization of GWAS and eQTL Signals Detects Target Genes

Robust Mendelian randomization in the presence of residual population stratification, batch effects and horizontal pleiotropy

Identifying causal variants by fine mapping across multiple studies

Improving the usability and archival stability of bioinformatics software

Integrating functional data to prioritize causal variants in statistical fine-mapping studies

Profiling immunoglobulin repertoires across multiple human tissues using RNA sequencing

Efficient multiple-trait association and estimation of genetic correlation using the matrix-variate linear mixed model

Sparse PCA corrects for cell type heterogeneity in epigenome-wide association studies

Using an atlas of gene regulation across 44 human tissues to inform complex disease- and trait-associated variation

Variance component model to account for sample structure in genome-wide association studies

Improved methods for multi-trait fine mapping of pleiotropic risk loci

Cell-type-specific resolution epigenetics without the need for cell sorting or single-cell biology

Rapid and accurate multiple testing correction and power estimation for millions of correlated markers

Leveraging molecular quantitative trait loci to understand the genetic architecture of diseases and complex traits

Efficient Control of Population Structure in Model Organism Association Mapping

A model-based approach for analysis of spatial structure in genetic data

Hidden Treasures in Contemporary RNA Sequencing

Genetic Control of Obesity and Gut Microbiota Composition in Response to High-Fat, High-Sucrose Diet in Mice

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