A saturated map of common genetic variants associated with human height
Published 2022 View Full Article
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Title
A saturated map of common genetic variants associated with human height
Authors
Keywords
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Journal
NATURE
Volume 610, Issue 7933, Pages 704-712
Publisher
Springer Science and Business Media LLC
Online
2022-10-13
DOI
10.1038/s41586-022-05275-y
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Note: Only part of the references are listed.- Portability of 245 polygenic scores when derived from the UK Biobank and applied to 9 ancestry groups from the same cohort
- (2022) Florian Privé et al. AMERICAN JOURNAL OF HUMAN GENETICS
- Assessing the contribution of rare variants to complex trait heritability from whole-genome sequence data
- (2022) Pierrick Wainschtein et al. NATURE GENETICS
- The sequences of 150,119 genomes in the UK Biobank
- (2022) Bjarni V. Halldorsson et al. NATURE
- Sequencing of 53,831 diverse genomes from the NHLBI TOPMed Program
- (2021) Daniel Taliun et al. NATURE
- Quantifying genetic heterogeneity between continental populations for human height and body mass index
- (2021) Jing Guo et al. Scientific Reports
- Why are rare variants hard to impute? Coalescent models reveal theoretical limits in existing algorithms
- (2021) Yichen Si et al. GENETICS
- Long-read sequencing of 3,622 Icelanders provides insight into the role of structural variants in human diseases and other traits
- (2021) Doruk Beyter et al. NATURE GENETICS
- The distribution of common-variant effect sizes
- (2021) Luke J. O’Connor NATURE GENETICS
- Protein-coding repeat polymorphisms strongly shape diverse human phenotypes
- (2021) Ronen E. Mukamel et al. SCIENCE
- The power of genetic diversity in genome-wide association studies of lipids
- (2021) Sarah E. Graham et al. NATURE
- Exome sequencing and analysis of 454,787 UK Biobank participants
- (2021) Joshua D. Backman et al. NATURE
- Probabilistic inference of the genetic architecture underlying functional enrichment of complex traits
- (2021) Marion Patxot et al. Nature Communications
- Incorporating functional priors improves polygenic prediction accuracy in UK Biobank and 23andMe data sets
- (2021) Carla Márquez-Luna et al. Nature Communications
- Ancestry deconvolution and partial polygenic score can improve susceptibility predictions in recently admixed individuals
- (2020) Davide Marnetto et al. Nature Communications
- Theoretical and empirical quantification of the accuracy of polygenic scores in ancestry divergent populations
- (2020) Ying Wang et al. Nature Communications
- LDpred2: better, faster, stronger
- (2020) Florian Privé et al. BIOINFORMATICS
- Clinical use of current polygenic risk scores may exacerbate health disparities
- (2019) Alicia R. Martin et al. NATURE GENETICS
- Polygenic prediction via Bayesian regression and continuous shrinkage priors
- (2019) Tian Ge et al. Nature Communications
- Polygenic adaptation on height is overestimated due to uncorrected stratification in genome-wide association studies
- (2019) Mashaal Sohail et al. eLife
- Reduced signal for polygenic adaptation of height in UK Biobank
- (2019) Jeremy J Berg et al. eLife
- Analysis of polygenic risk score usage and performance in diverse human populations
- (2019) L. Duncan et al. Nature Communications
- Improved polygenic prediction by Bayesian multiple regression on summary statistics
- (2019) Luke R. Lloyd-Jones et al. Nature Communications
- The great hairball gambit
- (2019) Jonathan Flint et al. PLoS Genetics
- Multi-trait analysis of genome-wide association summary statistics using MTAG
- (2018) Patrick Turley et al. NATURE GENETICS
- Integrative analysis of omics summary data reveals putative mechanisms underlying complex traits
- (2018) Yang Wu et al. Nature Communications
- Identifying gene targets for brain-related traits using transcriptomic and methylomic data from blood
- (2018) Ting Qi et al. Nature Communications
- Meta-analysis of genome-wide association studies for height and body mass index in ∼700000 individuals of European ancestry
- (2018) Loic Yengo et al. HUMAN MOLECULAR GENETICS
- Estimating cross-population genetic correlations of causal effect sizes
- (2018) Kevin J. Galinsky et al. GENETIC EPIDEMIOLOGY
- The UK Biobank resource with deep phenotyping and genomic data
- (2018) Clare Bycroft et al. NATURE
- Rare and low-frequency coding variants alter human adult height
- (2017) Eirini Marouli et al. NATURE
- Linkage disequilibrium–dependent architecture of human complex traits shows action of negative selection
- (2017) Steven Gazal et al. NATURE GENETICS
- Statistical correction of the Winner’s Curse explains replication variability in quantitative trait genome-wide association studies
- (2017) Cameron Palmer et al. PLoS Genetics
- RVTESTS: an efficient and comprehensive tool for rare variant association analysis using sequence data: Table 1.
- (2016) Xiaowei Zhan et al. BIOINFORMATICS
- Next-generation genotype imputation service and methods
- (2016) Sayantan Das et al. NATURE GENETICS
- Integration of summary data from GWAS and eQTL studies predicts complex trait gene targets
- (2016) Zhihong Zhu et al. NATURE GENETICS
- Modeling Linkage Disequilibrium Increases Accuracy of Polygenic Risk Scores
- (2015) Bjarni J. Vilhjálmsson et al. AMERICAN JOURNAL OF HUMAN GENETICS
- A global reference for human genetic variation
- (2015) Richard A. Gibbs et al. NATURE
- Partitioning heritability by functional annotation using genome-wide association summary statistics
- (2015) Hilary K Finucane et al. NATURE GENETICS
- An atlas of genetic correlations across human diseases and traits
- (2015) Brendan Bulik-Sullivan et al. NATURE GENETICS
- LD Score regression distinguishes confounding from polygenicity in genome-wide association studies
- (2015) Brendan K Bulik-Sullivan et al. NATURE GENETICS
- Biological interpretation of genome-wide association studies using predicted gene functions
- (2015) Tune H. Pers et al. Nature Communications
- MAGMA: Generalized Gene-Set Analysis of GWAS Data
- (2015) Christiaan A. de Leeuw et al. PLoS Computational Biology
- RAREMETAL: fast and powerful meta-analysis for rare variants
- (2014) S. Feng et al. BIOINFORMATICS
- Fast and accurate imputation of summary statistics enhances evidence of functional enrichment
- (2014) Bogdan Pasaniuc et al. BIOINFORMATICS
- Defining the role of common variation in the genomic and biological architecture of adult human height
- (2014) Andrew R Wood et al. NATURE GENETICS
- Quality control and conduct of genome-wide association meta-analyses
- (2014) Thomas W Winkler et al. Nature Protocols
- Estimating and interpreting FST: The impact of rare variants
- (2013) G. Bhatia et al. GENOME RESEARCH
- Synthesizing genome-wide association studies and expression microarray reveals novel genes that act in the human growth plate to modulate height
- (2012) Julian C. Lui et al. HUMAN MOLECULAR GENETICS
- Multiple enhancers associated with ACAN suggest highly redundant transcriptional regulation in cartilage
- (2012) Gui Hu et al. MATRIX BIOLOGY
- Conditional and joint multiple-SNP analysis of GWAS summary statistics identifies additional variants influencing complex traits
- (2012) Jian Yang et al. NATURE GENETICS
- Genome partitioning of genetic variation for complex traits using common SNPs
- (2011) Jian Yang et al. NATURE GENETICS
- GCTA: A Tool for Genome-wide Complex Trait Analysis
- (2010) Jian Yang et al. AMERICAN JOURNAL OF HUMAN GENETICS
- Candidate Gene Association Resource (CARe)
- (2010) Kiran Musunuru et al. Circulation-Cardiovascular Genetics
- Hundreds of variants clustered in genomic loci and biological pathways affect human height
- (2010) Hana Lango Allen et al. NATURE
- Common SNPs explain a large proportion of the heritability for human height
- (2010) Jian Yang et al. NATURE GENETICS
- Bias-reduced estimators and confidence intervals for odds ratios in genome-wide association studies
- (2008) H. Zhong et al. BIOSTATISTICS
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