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Simultaneous discovery, estimation and prediction analysis of complex traits using a bayesian mixture model

PLoS genetics, 2015-04, Vol.11 (4), p.e1004969-e1004969

2015

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Pitfalls of predicting complex traits from SNPs

Nature reviews. Genetics, 2013-07, Vol.14 (7), p.507-515

2013

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Concepts, estimation and interpretation of SNP-based heritability

Nature genetics, 2017-09, Vol.49 (9), p.1304-1310

2017

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Statistical power to detect genetic (co)variance of complex traits using SNP data in unrelated samples

PLoS genetics, 2014-04, Vol.10 (4), p.e1004269-e1004269

2014

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Advantages and pitfalls in the application of mixed-model association methods

Nature genetics, 2014-02, Vol.46 (2), p.100-106

2014

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Integration of summary data from GWAS and eQTL studies predicts complex trait gene targets

Nature genetics, 2016-05, Vol.48 (5), p.481-487

2016

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A multi-trait, meta-analysis for detecting pleiotropic polymorphisms for stature, fatness and reproduction in beef cattle

PLoS genetics, 2014-03, Vol.10 (3), p.e1004198-e1004198

2014

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GCTA: A Tool for Genome-wide Complex Trait Analysis

American journal of human genetics, 2011-01, Vol.88 (1), p.76-82

2011

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Exploiting biological priors and sequence variants enhances QTL discovery and genomic prediction of complex traits

BMC genomics, 2016-02, Vol.17 (128), p.144-144, Article 144

2016

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Data and theory point to mainly additive genetic variance for complex traits

PLoS genetics, 2008-02, Vol.4 (2), p.e1000008-e1000008

2008

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Improved polygenic prediction by Bayesian multiple regression on summary statistics

Nature communications, 2019-11, Vol.10 (1), p.5086-11, Article 5086

2019

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The future of livestock breeding: genomic selection for efficiency, reduced emissions intensity, and adaptation

Trends in genetics, 2013-04, Vol.29 (4), p.206-214

2013

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Quantification of inbreeding due to distant ancestors and its detection using dense single nucleotide polymorphism data

Genetics (Austin), 2011-09, Vol.189 (1), p.237-249

2011

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Estimation of pleiotropy between complex diseases using single-nucleotide polymorphism-derived genomic relationships and restricted maximum likelihood

Bioinformatics (Oxford, England), 2012-10, Vol.28 (19), p.2540-2542

2012

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The genetic interpretation of area under the ROC curve in genomic profiling

PLoS genetics, 2010-02, Vol.6 (2), p.e1000864-e1000864

2010

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Estimating Missing Heritability for Disease from Genome-wide Association Studies

American journal of human genetics, 2011-03, Vol.88 (3), p.294-305

2011

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Reconciling the analysis of IBD and IBS in complex trait studies

Nature reviews. Genetics, 2010-11, Vol.11 (11), p.800-805

2010

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Invited review: Genomic selection in dairy cattle: Progress and challenges

Journal of dairy science, 2009-02, Vol.92 (2), p.433-443

2009

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Reliability of Genomic Predictions Across Multiple Populations

Genetics (Austin), 2009-12, Vol.183 (4), p.1545-1553

2009

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Estimating the proportion of variation in susceptibility to schizophrenia captured by common SNPs

Nature genetics, 2012-03, Vol.44 (3), p.247-250

2012

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Improving accuracy of genomic predictions within and between dairy cattle breeds with imputed high-density single nucleotide polymorphism panels

Journal of dairy science, 2012-07, Vol.95 (7), p.4114-4129

2012

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Prediction of individual genetic risk to disease from genome-wide association studies

Genome Research, 2007-10, Vol.17 (10), p.1520-1528

2007

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Prediction of Total Genetic Value Using Genome-Wide Dense Marker Maps

Genetics (Austin), 2001-04, Vol.157 (4), p.1819-1829

2001

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Dominance Genetic Variation Contributes Little to the Missing Heritability for Human Complex Traits

American journal of human genetics, 2015-03, Vol.96 (3), p.377-385

2015

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Genome-wide fine-mapping identifies pleiotropic and functional variants that predict many traits across global cattle populations

Nature communications, 2021-02, Vol.12 (1), p.860-860, Article 860

2021

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Simultaneous discovery, estimation and prediction analysis of complex traits using a bayesian mixture model

Pitfalls of predicting complex traits from SNPs

Concepts, estimation and interpretation of SNP-based heritability

Statistical power to detect genetic (co)variance of complex traits using SNP data in unrelated samples

Advantages and pitfalls in the application of mixed-model association methods

Integration of summary data from GWAS and eQTL studies predicts complex trait gene targets

A multi-trait, meta-analysis for detecting pleiotropic polymorphisms for stature, fatness and reproduction in beef cattle

GCTA: A Tool for Genome-wide Complex Trait Analysis

Exploiting biological priors and sequence variants enhances QTL discovery and genomic prediction of complex traits

Data and theory point to mainly additive genetic variance for complex traits

Improved polygenic prediction by Bayesian multiple regression on summary statistics

The future of livestock breeding: genomic selection for efficiency, reduced emissions intensity, and adaptation

Quantification of inbreeding due to distant ancestors and its detection using dense single nucleotide polymorphism data

Estimation of pleiotropy between complex diseases using single-nucleotide polymorphism-derived genomic relationships and restricted maximum likelihood

The genetic interpretation of area under the ROC curve in genomic profiling

Estimating Missing Heritability for Disease from Genome-wide Association Studies

Reconciling the analysis of IBD and IBS in complex trait studies

Invited review: Genomic selection in dairy cattle: Progress and challenges

Reliability of Genomic Predictions Across Multiple Populations

Estimating the proportion of variation in susceptibility to schizophrenia captured by common SNPs

Improving accuracy of genomic predictions within and between dairy cattle breeds with imputed high-density single nucleotide polymorphism panels

Prediction of individual genetic risk to disease from genome-wide association studies

Prediction of Total Genetic Value Using Genome-Wide Dense Marker Maps

Dominance Genetic Variation Contributes Little to the Missing Heritability for Human Complex Traits

Genome-wide fine-mapping identifies pleiotropic and functional variants that predict many traits across global cattle populations

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