Genome-wide fine-mapping identifies pleiotropic and functional variants that predict many traits across global cattle populations
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Genome-wide fine-mapping identifies pleiotropic and functional variants that predict many traits across global cattle populations
Authors
Keywords
-
Journal
Nature Communications
Volume 12, Issue 1, Pages -
Publisher
Springer Science and Business Media LLC
Online
2021-02-09
DOI
10.1038/s41467-021-21001-0
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Predicting male fertility in dairy cattle using markers with large effect and functional annotation data
- (2019) Juan Pablo Nani et al. BMC GENOMICS
- Complex Trait Prediction from Genome Data: Contrasting EBV in Livestock to PRS in Humans
- (2019) Naomi R. Wray et al. GENETICS
- Quantifying the contribution of sequence variants with regulatory and evolutionary significance to 34 bovine complex traits
- (2019) Ruidong Xiang et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Genome variants associated with RNA splicing variations in bovine are extensively shared between tissues
- (2018) Ruidong Xiang et al. BMC GENOMICS
- Meta-analysis of genome-wide association studies for cattle stature identifies common genes that regulate body size in mammals
- (2018) Aniek C. Bouwman et al. NATURE GENETICS
- Refining the accuracy of validated target identification through coding variant fine-mapping in type 2 diabetes
- (2018) Anubha Mahajan et al. NATURE GENETICS
- From genome-wide associations to candidate causal variants by statistical fine-mapping
- (2018) Daniel J. Schaid et al. NATURE REVIEWS GENETICS
- Harnessing genomic information for livestock improvement
- (2018) Michel Georges et al. NATURE REVIEWS GENETICS
- Building a livestock genetic and genomic information knowledgebase through integrative developments of Animal QTLdb and CorrDB
- (2018) Zhi-Liang Hu et al. NUCLEIC ACIDS RESEARCH
- The NHGRI-EBI GWAS Catalog of published genome-wide association studies, targeted arrays and summary statistics 2019
- (2018) Annalisa Buniello et al. NUCLEIC ACIDS RESEARCH
- 1000 Bull Genomes Project to Map Simple and Complex Genetic Traits in Cattle: Applications and Outcomes
- (2018) Ben J. Hayes et al. Annual Review of Animal Biosciences
- The AraGWAS Catalog: a curated and standardized Arabidopsis thaliana GWAS catalog
- (2017) Matteo Togninalli et al. NUCLEIC ACIDS RESEARCH
- Using information of relatives in genomic prediction to apply effective stratified medicine
- (2017) S. Hong Lee et al. Scientific Reports
- Genome-wide comparative analyses of correlated and uncorrelated phenotypes identify major pleiotropic variants in dairy cattle
- (2017) Ruidong Xiang et al. Scientific Reports
- MTG2: an efficient algorithm for multivariate linear mixed model analysis based on genomic information: Table 1.
- (2016) S. H. Lee et al. BIOINFORMATICS
- Exploiting biological priors and sequence variants enhances QTL discovery and genomic prediction of complex traits
- (2016) I. M. MacLeod et al. BMC GENOMICS
- Reference-based phasing using the Haplotype Reference Consortium panel
- (2016) Po-Ru Loh et al. NATURE GENETICS
- Holsteins are the genomic selection poster cows
- (2016) Jeremy F. Taylor et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- An Upper Bound for Accuracy of Prediction Using GBLUP
- (2016) Emre Karaman et al. PLoS One
- Identification of common genetic variants controlling transcript isoform variation in human whole blood
- (2015) Xiaoling Zhang et al. NATURE GENETICS
- Second-generation PLINK: rising to the challenge of larger and richer datasets
- (2015) Christopher C Chang et al. GigaScience
- SNPchiMp: a database to disentangle the SNPchip jungle in bovine livestock
- (2014) Ezequiel Nicolazzi et al. BMC GENOMICS
- A new approach for efficient genotype imputation using information from relatives
- (2014) Mehdi Sargolzaei et al. BMC GENOMICS
- Whole-genome sequencing of 234 bulls facilitates mapping of monogenic and complex traits in cattle
- (2014) Hans D Daetwyler et al. NATURE GENETICS
- A Multi-Trait, Meta-analysis for Detecting Pleiotropic Polymorphisms for Stature, Fatness and Reproduction in Beef Cattle
- (2014) Sunduimijid Bolormaa et al. PLoS Genetics
- Improving accuracy of genomic predictions within and between dairy cattle breeds with imputed high-density single nucleotide polymorphism panels
- (2012) M. Erbe et al. JOURNAL OF DAIRY SCIENCE
- Fast and accurate genotype imputation in genome-wide association studies through pre-phasing
- (2012) Bryan Howie et al. NATURE GENETICS
- Conditional and joint multiple-SNP analysis of GWAS summary statistics identifies additional variants influencing complex traits
- (2012) Jian Yang et al. NATURE GENETICS
- In-depth annotation of SNPs arising from resequencing projects using NGS-SNP
- (2011) J. R. Grant et al. BIOINFORMATICS
- GCTA: A Tool for Genome-wide Complex Trait Analysis
- (2010) Jian Yang et al. AMERICAN JOURNAL OF HUMAN GENETICS
- Small insertions and deletions (INDELs) in human genomes
- (2010) J. M. Mullaney et al. HUMAN MOLECULAR GENETICS
Add your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload NowAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started