ArticleGenetics2017
A Powerful Framework for Integrating eQTL and GWAS Summary Data.
Article in Genetics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
46 citing papers in PubMed.
- Integrative Multi-Omics Approach for Improving Causal Gene Identification.Genetic epidemiology · 2025Article
- Multiome-wide Association Studies: Novel Approaches for Understanding Diseases.Genomics, proteomics & bioinformatics · 2024Review
- The goldmine of GWAS summary statistics: a systematic review of methods and tools.BioData mining · 2024Article
- An overview of detecting gene-trait associations by integrating GWAS summary statistics and eQTLs.Science China. Life sciences · 2024Review
- SUMMIT-FA: a new resource for improved transcriptome imputation using functional annotations.Human molecular genetics · 2024Article
- Transcriptome-Wide Association Study Reveals Potentially Candidate Genes Responsible for Milk Production Traits in Buffalo.International journal of molecular sciences · 2024Article
- LA-GEM: imputation of gene expression with incorporation of Local Ancestry.Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing · 2024Article
- On the interpretation of transcriptome-wide association studies.PLoS genetics · 2023Article
- Causal Inference in Transcriptome-Wide Association Studies with Invalid Instruments and GWAS Summary Data.Journal of the American Statistical Association · 2023Article
- SUMMIT: An integrative approach for better transcriptomic data imputation improves causal gene identification.Nature communications · 2022Article
- Gene-Based Association Tests Using New Polygenic Risk Scores and Incorporating Gene Expression Data.Genes · 2022Article
- Secondary analyses for genome-wide association studies using expression quantitative trait loci.Genetic epidemiology · 2022Article
- Gene-based association tests using GWAS summary statistics and incorporating eQTL.Scientific reports · 2022Article
- InTACT: An adaptive and powerful framework for joint-tissue transcriptome-wide association studies.Genetic epidemiology · 2021Article
- A gene-level methylome-wide association analysis identifies novel Alzheimer's disease genes.Bioinformatics (Oxford, England) · 2021Article
- Model checking via testing for direct effects in Mendelian Randomization and transcriptome-wide association studies.PLoS computational biology · 2021Article
- Constrained maximum likelihood-based Mendelian randomization robust to both correlated and uncorrelated pleiotropic effects.American journal of human genetics · 2021Article
- Integrating brain imaging endophenotypes with GWAS for Alzheimer's disease.Quantitative biology (Beijing, China) · 2021Article
- Transcriptome-wide association analysis of brain structures yields insights into pleiotropy with complex neuropsychiatric traits.Nature communications · 2021Article
- Identifying adaptive alleles in the human genome: from selection mapping to functional validation.Human genetics · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Two new gene-based association analysis methods, called
Indexed as
Identifiers
What OpenQuestion holds
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.