ArticleeLife2022
A conditional gene-based association framework integrating isoform-level eQTL data reveals new susceptibility genes for schizophrenia.
Article in eLife, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 11 citations in OpenAlex.
- Integrating Proteomics and GWAS to Identify Key Tissues and Genes Underlying Human Complex Diseases.Biology · 2025Article
- Circulating Blood-Based Proteins in Psychopathology and Cognition: A Mendelian Randomization Study.JAMA psychiatry · 2025Article
- Isoform-level expression of the constitutive androstane receptor (CAR or NR1I3) transcription factor better predicts the mRNA expression of the cytochrome P450s in human liver samples.Drug metabolism and disposition: the biological fate of chemicals · 2025Article
- Genome-Wide and Exome-Wide Association Study Identifies Genetic Underpinning of Comorbidity between Myocardial Infarction and Severe Mental Disorders.Biomedicines · 2024Article
- Large-Scale Mendelian Randomization Study Reveals Circulating Blood-based Proteomic Biomarkers for Psychopathology and Cognitive Task Performance.medRxiv : the preprint server for health sciences · 2024Article
- Genome-wide Association Study Identifies Novel Risk Loci for Apical Periodontitis.Journal of endodontics · 2023Article
- Dissecting the high-resolution genetic architecture of complex phenotypes by accurately estimating gene-based conditional heritability.American journal of human genetics · 2023Article
- Towards Genetic Dissection of Skeletal Class III Malocclusion: A Review of Genetic Variations Underlying the Phenotype in Humans and Future Directions.Journal of clinical medicine · 2023Article
- Dissecting the Complexity of Skeletal-Malocclusion-Associated Phenotypes: Mouse for the Rescue.International journal of molecular sciences · 2023Review
- Genome-wide association study identifies novel risk loci for apical periodontitis.Research square · 2023Article
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Linkage disequilibrium and disease-associated variants in the non-coding regions make it difficult to distinguish the truly associated genes from the redundantly associated genes for complex diseases. In this study, we proposed a new conditional gene-based framework called eDESE that leveraged an improved effective chi-squared statistic to control the type I error rates and remove the redundant associations. eDESE initially performed the association analysis by mapping variants to genes according to their physical distance. We further demonstrated that the isoform-level eQTLs could be more powerful than the gene-level eQTLs in the association analysis using a simulation study. Then the eQTL-guided strategies, that is, mapping variants to genes according to their gene/isoform-level variant-gene
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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.