ArticleAmerican journal of human genetics2016
Efficient Integrative Multi-SNP Association Analysis via Deterministic Approximation of Posteriors.
Article in American journal of human genetics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 118 papers, 4 of them syntheses that pooled it.
What it found
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Who cites it
118 citing papers in PubMed, 4 syntheses or guidelines pooled it, 250 citations in OpenAlex.
- A joint transcriptome-wide association study across multiple tissues identifies candidate breast cancer susceptibility genes.American journal of human genetics · 2023Pooled it
- Multi-population genome-wide association study implicates immune and non-immune factors in pediatric steroid-sensitive nephrotic syndrome.Nature communications · 2023Pooled it
- Meta-imputation: An efficient method to combine genotype data after imputation with multiple reference panels.American journal of human genetics · 2022Pooled it
- Using an atlas of gene regulation across 44 human tissues to inform complex disease- and trait-associated variation.Nature genetics · 2018Pooled it
- Functional characterization of the 9q34.13 locus identifies RAPGEF1 as a candidate gene modulating risk for melanoma and nevi via RAS activation.American journal of human genetics · 2026Article
- Machine learning and statistical methods for molecular quantitative trait loci.Nature reviews. Genetics · 2026Review
- Comparing machine learning methods predicting transcriptome from epigenome with applications to association studies.Genome biology · 2026Article
- Truncated Life History Underlies Rapid Local Adaptation in Island Rattlesnake Venom Expression.Genome biology and evolution · 2026Article
- Genetic Determinants of Peanut-Specific IgG4 Levels in the Context of Sustained Oral Peanut Exposure in the LEAP Study.Immunology · 2026Article
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- Functional characterization of the 9q34.13 locus identifiesbioRxiv : the preprint server for biology · 2026Article
- Host genotypes interact with microbial communities to modulate gene expression in the human intestine.medRxiv : the preprint server for health sciences · 2026Article
- Fast and flexible joint fine-mapping of multiple traits via the Sum of Single Effects model.Nature genetics · 2026Article
- MIRAGE: A Bayesian statistical method for gene-level rare-variant analysis incorporating functional annotations.American journal of human genetics · 2026Article
- Functional characterization of a multi-cancer risk locus on chromosome band 2q33.1 nearbioRxiv : the preprint server for biology · 2026Article
- L3MBTL2 as a novel therapeutic target for trigeminal neuralgia: evidence from integrated TWAS, multi-tissue MR, and experimental validation.The journal of headache and pain · 2025Article
- Towards improved fine-mapping of candidate causal variants.Nature reviews. Genetics · 2025Review
- BTS: a scalable Bayesian Tissue Score for prioritizing GWAS variants and their functional contexts across >1000s of omics datasets.Bioinformatics (Oxford, England) · 2025Article
- Comprehensive Multi-omics Analysis of Regulatory Variants for Body Weight in Cattle.Genomics, proteomics & bioinformatics · 2025Article
- Genome-wide iterative fine-mapping for non-Gaussian phenotypes.Scientific reports · 2025Article
58 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
Abstract
With the increasing availability of functional genomic data, incorporating genomic annotations into genetic association analysis has become a standard procedure. However, the existing methods often lack rigor and/or computational efficiency and consequently do not maximize the utility of functional annotations. In this paper, we propose a rigorous inference procedure to perform integrative association analysis incorporating genomic annotations for both traditional GWASs and emerging molecular QTL mapping studies. In particular, we propose an algorithm, named deterministic approximation of posteriors (DAP), which enables highly efficient and accurate joint enrichment analysis and identification of multiple causal variants. We use a series of simulation studies to highlight the power and computational efficiency of our proposed approach and further demonstrate it by analyzing the cross-population eQTL data from the GEUVADIS project and the multi-tissue eQTL data from the GTEx project. In particular, we find that genetic variants predicted to disrupt transcription factor binding sites are enriched in cis-eQTLs across all tissues. Moreover, the enrichment estimates obtained across the tissues are correlated with the cell types for which the annotations are derived.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.