ArticleNature communications2021
Detecting local genetic correlations with scan statistics.
Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 2 of them syntheses that pooled it.
What it found
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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.
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Who cites it
36 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Investigating the shared genetic information between serum concentration levels of liver enzymes and cholelithiasis.BMC gastroenterology · 2025Pooled it
- Genomic Analysis Identifies Risk Factors in Restless Legs Syndrome.Annals of neurology · 2024Pooled it
- Estimating genetic correlation jointly using individual-level and summary-level GWAS data.Nature communications · 2026Article
- A cross-ancestry genetic atlas of shared susceptibility between infectious diseases and cancer.Functional & integrative genomics · 2026Article
- Integrating genetic regulation and schizophrenia-specific splicing quantitative expression with GWAS prioritizes novel risk genes for schizophrenia.Translational psychiatry · 2025Article
- Exploring Similarities and Differences Between Methods That Exploit Patterns of Local Genetic Correlation to Identify Shared Causal Loci Through Application to Genome-Wide Association Studies of Multiple Long Term Conditions.Genetic epidemiology · 2025Article
- Article
- The left amygdala is genetically sexually-dimorphic: multi-omics analysis of structural MRI volumes.Translational psychiatry · 2025Article
- Evidence to shared genetic correlation of ischemic stroke and intracerebral hemorrhage and cardiovascular related traits.PloS one · 2025Article
- Genetic correlation analysis between sepsis and hematological traits: Identifying shared genomic regions.PloS one · 2025Article
- Local genetic correlation via knockoffs reduces confounding due to cross-trait assortative mating.American journal of human genetics · 2024Article
- Genetic Association of Juvenile Idiopathic Arthritis With Adult Rheumatic Disease.JAMA network open · 2024Article
- Advancements and limitations in polygenic risk score methods for genomic prediction: a scoping review.Human genetics · 2024Article
- Stacking beneficial haplotypes from the Vavilov wheat collection to accelerate breeding for multiple disease resistance.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024Article
- Shared genetics between breast cancer and predisposing diseases identifies novel breast cancer treatment candidates.Human genomics · 2024Article
- The goldmine of GWAS summary statistics: a systematic review of methods and tools.BioData mining · 2024Article
- Joint modeling of human cortical structure: Genetic correlation network and composite-trait genetic correlation.NeuroImage · 2024Article
- Shared genetics between breast cancer and predisposing diseases identifies novel breast cancer treatment candidates.Research square · 2024Article
- Improving multi-population genomic prediction accuracy using multi-trait GBLUP models which incorporate global or local genetic correlation information.Briefings in bioinformatics · 2024Article
- Cross-ancestry genetic architecture and prediction for cholesterol traits.Human genetics · 2024Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
Genetic correlation analysis has quickly gained popularity in the past few years and provided insights into the genetic etiology of numerous complex diseases. However, existing approaches oversimplify the shared genetic architecture between different phenotypes and cannot effectively identify precise genetic regions contributing to the genetic correlation. In this work, we introduce LOGODetect, a powerful and efficient statistical method to identify small genome segments harboring local genetic correlation signals. LOGODetect automatically identifies genetic regions showing consistent associations with multiple phenotypes through a scan statistic approach. It uses summary association statistics from genome-wide association studies (GWAS) as input and is robust to sample overlap between studies. Applied to seven phenotypically distinct but genetically correlated neuropsychiatric traits, we identify 227 non-overlapping genome regions associated with multiple traits, including multiple hub regions showing concordant effects on five or more traits. Our method addresses critical limitations in existing analytic strategies and may have wide applications in post-GWAS analysis.
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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.