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Polygenicity of complex traits is explained by negative selection

https://doi.org/10.1101/420497

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1016/j.ajhg.2012.10.010openalex-snapshot

Improved Heritability Estimation from Genome-wide SNPs

inferredcites →https://doi.org/10.1016/j.ajhg.2015.06.005openalex-snapshot

A Fast Method that Uses Polygenic Scores to Estimate the Variance Explained by Genome-wide Marker Panels and the Proportion of Variants Affecting a Trait

inferredcites →https://doi.org/10.1016/j.ajhg.2015.09.001openalex-snapshot

Modeling Linkage Disequilibrium Increases Accuracy of Polygenic Risk Scores

inferredcites →https://doi.org/10.1016/j.ajhg.2017.04.005openalex-snapshot

Widespread Allelic Heterogeneity in Complex Traits

inferredcites →https://doi.org/10.1016/j.ajhg.2017.06.005openalex-snapshot

10 Years of GWAS Discovery: Biology, Function, and Translation

inferredcites →https://doi.org/10.1016/j.ajhg.2017.08.002openalex-snapshot

A Scalable Bayesian Method for Integrating Functional Information in Genome-wide Association Studies

inferredcites →https://doi.org/10.1016/j.cell.2017.05.038openalex-snapshot

An Expanded View of Complex Traits: From Polygenic to Omnigenic

inferredcites →https://doi.org/10.1016/j.cell.2018.05.051openalex-snapshot

Common Disease Is More Complex Than Implied by the Core Gene Omnigenic Model

inferredcites →https://doi.org/10.1038/nature08185openalex-snapshot

Common polygenic variation contributes to risk of schizophrenia and bipolar disorder

inferredcites →https://doi.org/10.1038/nature08494openalex-snapshot

Finding the missing heritability of complex diseases

inferredcites →https://doi.org/10.1038/nature12975openalex-snapshot

A polygenic burden of rare disruptive mutations in schizophrenia

inferredcites →https://doi.org/10.1038/nature13917openalex-snapshot

Exome sequencing identifies rare LDLR and APOA5 alleles conferring risk for myocardial infarction

inferredcites →https://doi.org/10.1038/nature14962openalex-snapshot

The UK10K project identifies rare variants in health and disease

inferredcites →https://doi.org/10.1038/nature19057openalex-snapshot

Analysis of protein-coding genetic variation in 60,706 humans

inferredcites →https://doi.org/10.1038/nature22969openalex-snapshot

Fine-mapping inflammatory bowel disease loci to single-variant resolution

inferredcites →https://doi.org/10.1038/nature24277openalex-snapshot

Genetic effects on gene expression across human tissues

inferredcites →https://doi.org/10.1038/nbt.3678openalex-snapshot

Genome-scale high-resolution mapping of activating and repressive nucleotides in regulatory regions

inferredcites →https://doi.org/10.1038/ng.2007.13openalex-snapshot

Genetic determinants of hair, eye and skin pigmentation in Europeans

inferredcites →https://doi.org/10.1038/ng.2232openalex-snapshot

Bayesian inference analyses of the polygenic architecture of rheumatoid arthritis

inferredcites →https://doi.org/10.1038/ng.3211openalex-snapshot

LD Score regression distinguishes confounding from polygenicity in genome-wide association studies

inferredcites →https://doi.org/10.1038/ng.3390openalex-snapshot

Genetic variance estimation with imputed variants finds negligible missing heritability for human height and body mass index

inferredcites →https://doi.org/10.1038/ng.3404openalex-snapshot

Partitioning heritability by functional annotation using genome-wide association summary statistics

inferredcites →https://doi.org/10.1038/ng.3431openalex-snapshot

Contrasting genetic architectures of schizophrenia and other complex diseases using fast variance-components analysis

inferredcites →https://doi.org/10.1038/ng.3506openalex-snapshot

Integrative approaches for large-scale transcriptome-wide association studies

inferredcites →https://doi.org/10.1038/ng.3865openalex-snapshot

Reevaluation of SNP heritability in complex human traits

inferredcites →https://doi.org/10.1038/ng.3954openalex-snapshot

Linkage disequilibrium–dependent architecture of human complex traits shows action of negative selection

inferredcites →https://doi.org/10.1038/ng.608openalex-snapshot

Common SNPs explain a large proportion of the heritability for human height

inferredcites →https://doi.org/10.1038/ng1607openalex-snapshot

Demonstrating stratification in a European American population

inferredcites →https://doi.org/10.1038/s41467-018-06805-xopenalex-snapshot

Large-scale genome-wide enrichment analyses identify new trait-associated genes and pathways across 31 human phenotypes

inferredcites →https://doi.org/10.1038/s41467-019-08424-6openalex-snapshot

Quantification of frequency-dependent genetic architectures in 25 UK Biobank traits reveals action of negative selection

inferredcites →https://doi.org/10.1038/s41588-018-0062-7openalex-snapshot

The human noncoding genome defined by genetic diversity

inferredcites →https://doi.org/10.1038/s41588-018-0101-4openalex-snapshot

Signatures of negative selection in the genetic architecture of human complex traits

inferredcites →https://doi.org/10.1038/s41588-018-0144-6openalex-snapshot

Mixed-model association for biobank-scale datasets

inferredcites →https://doi.org/10.1038/s41588-018-0148-2openalex-snapshot

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

inferredcites →https://doi.org/10.1038/s41588-018-0160-6openalex-snapshot

Deep learning sequence-based ab initio prediction of variant effects on expression and disease risk

inferredcites →https://doi.org/10.1038/s41588-018-0193-xopenalex-snapshot

Estimation of complex effect-size distributions using summary-level statistics from genome-wide association studies across 32 complex traits

inferredcites →https://doi.org/10.1038/s41588-018-0231-8openalex-snapshot

Functional architecture of low-frequency variants highlights strength of negative selection across coding and non-coding annotations

inferredcites →https://doi.org/10.1038/s41588-018-0255-0openalex-snapshot

Distinguishing genetic correlation from causation across 52 diseases and complex traits

inferredcites →https://doi.org/10.1056/nejmp0804318openalex-snapshot

From Darwin's Finches to Canaries in the Coal Mine — Mining the Genome for New Biology

inferredcites →https://doi.org/10.1056/nejmp0808934openalex-snapshot

Genomewide Association Studies — Illuminating Biologic Pathways

inferredcites →https://doi.org/10.1073/pnas.0906182107openalex-snapshot

Genetic architecture of a complex trait and its implications for fitness and genome-wide association studies

inferredcites →https://doi.org/10.1073/pnas.1322563111openalex-snapshot

Searching for missing heritability: Designing rare variant association studies

inferredcites →https://doi.org/10.1086/522036openalex-snapshot

So Many Correlated Tests, So Little Time! Rapid Adjustment of P Values for Multiple Correlated Tests

inferredcites →https://doi.org/10.1101/166298openalex-snapshot

Genome-wide genetic data on ~500,000 UK Biobank participants

inferredcites →https://doi.org/10.1101/256412openalex-snapshot

Reconciling S-LDSC and LDAK models and functional enrichment estimates

inferredcites →https://doi.org/10.1371/journal.pbio.2002985openalex-snapshot

A population genetic interpretation of GWAS findings for human quantitative traits

inferredcites →https://doi.org/10.1371/journal.pgen.0020190openalex-snapshot

Population Structure and Eigenanalysis

inferredcites →https://doi.org/10.1371/journal.pgen.1000074openalex-snapshot

A Genome-Wide Association Study Identifies Novel Alleles Associated with Hair Color and Skin Pigmentation

inferredcites →https://doi.org/10.1371/journal.pgen.1004969openalex-snapshot

Simultaneous Discovery, Estimation and Prediction Analysis of Complex Traits Using a Bayesian Mixture Model

inferredcites →https://doi.org/10.1371/journal.pmed.1001779openalex-snapshot

UK Biobank: An Open Access Resource for Identifying the Causes of a Wide Range of Complex Diseases of Middle and Old Age

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1016/j.ajhg.2019.03.020openalex-snapshot

Genes with High Network Connectivity Are Enriched for Disease Heritability

inferred← citeshttps://doi.org/10.1016/j.ajhg.2019.03.027openalex-snapshot

Benchmarker: An Unbiased, Association-Data-Driven Strategy to Evaluate Gene Prioritization Algorithms

inferred← citeshttps://doi.org/10.1016/j.ajhg.2026.04.009openalex-snapshot

Principled measures and estimates of trait polygenicity

inferred← citeshttps://doi.org/10.1016/j.cell.2019.04.014openalex-snapshot

Trans Effects on Gene Expression Can Drive Omnigenic Inheritance

inferred← citeshttps://doi.org/10.1038/s41467-020-16483-3openalex-snapshot

Assessment of polygenic architecture and risk prediction based on common variants across fourteen cancers

inferred← citeshttps://doi.org/10.1038/s41467-021-21286-1openalex-snapshot

Population-specific causal disease effect sizes in functionally important regions impacted by selection

inferred← citeshttps://doi.org/10.1038/s41588-019-0465-0openalex-snapshot

Accurate estimation of SNP-heritability from biobank-scale data irrespective of genetic architecture

inferred← citeshttps://doi.org/10.1101/2020.06.01.127688openalex-snapshot

Reproducible functional connectivity endophenotype confers high risk of ASD diagnosis in a subset of individuals

inferred← citeshttps://doi.org/10.1101/752527openalex-snapshot

Bayesian analysis of GWAS summary data reveals differential signatures of natural selection across human complex traits and functional genomic categories

inferred← citeshttps://doi.org/10.1146/annurev-genom-083115-022316openalex-snapshot

Thinking About the Evolution of Complex Traits in the Era of Genome-Wide Association Studies

inferred← citeshttps://doi.org/10.3410/f.735650839.793559732openalex-snapshot

Faculty Opinions recommendation of Trans effects on gene expression can drive omnigenic inheritance.

inferred← citeshttps://doi.org/10.3410/f.735650839.793561983openalex-snapshot

Faculty Opinions recommendation of Trans effects on gene expression can drive omnigenic inheritance.

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