ArticleNature communications2019
Bivariate causal mixture model quantifies polygenic overlap between complex traits beyond genetic correlation.
Article in Nature communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 285 papers, 14 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.
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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
285 citing papers in PubMed, 14 syntheses or guidelines pooled it, 421 citations in OpenAlex.
- Genome-wide association studies of infant and toddler temperament in European and multi-ancestry populations.Nature human behaviour · 2026Pooled it
- Shared genetic architecture of gray matter deficits in schizophrenia and bipolar disorder: evidence from structural neuroimaging-genetic analyses.Psychological medicine · 2026Pooled it
- A multi-ancestry meta genome-wide association study of migraine among veterans: associations with traumatic brain injury, depression, and post-traumatic stress disorder.Molecular psychiatry · 2026Pooled it
- Identification of 1q25.2 as a novel shared locus between schizophrenia and major depressive disorder in east Asians by integrative analyses.Translational psychiatry · 2025Pooled it
- Dissecting Schizophrenia Biology Using Pleiotropy With Cognitive Genomics.Biological psychiatry · 2025Pooled it
- Sex-stratified genome-wide association meta-analysis of major depressive disorder.Nature communications · 2025Pooled it
- Genome-wide association meta-analysis of age at onset of walking in over 70,000 infants of European ancestry.Nature human behaviour · 2025Pooled it
- Genome-wide analyses identify 25 infertility loci and relationships with reproductive traits across the allele frequency spectrum.Nature genetics · 2025Pooled it
- Pooled it
- Multi-ancestry meta-analysis of genome-wide association studies discovers 67 new loci associated with chronic back pain.Nature communications · 2025Pooled it
- Genome-wide association analyses identify 95 risk loci and provide insights into the neurobiology of post-traumatic stress disorder.Nature genetics · 2024Pooled it
- Evaluation of the Observational Associations and Shared Genetics Between Glaucoma With Depression and Anxiety.Investigative ophthalmology & visual science · 2024Pooled it
- Genetic architecture distinguishes tinnitus from hearing loss.Nature communications · 2024Pooled it
- GWAS meta-analysis of over 29,000 people with epilepsy identifies 26 risk loci and subtype-specific genetic architecture.Nature genetics · 2023Pooled it
- Convex approaches to isolate the shared and distinct genetic components of complex traits.Bioinformatics (Oxford, England) · 2026Article
- Genetic links between multimorbidity and human aging.GeroScience · 2026Article
- Shared Genetic Architecture Between Common Epilepsies and Subcortical Brain Volumes Is Associated With Cognition and Mental Health.CNS neuroscience & therapeutics · 2026Article
- Clinical trajectories and genetic architecture across the neurological-psychiatric boundary.medRxiv : the preprint server for health sciences · 2026Article
- Shared genetic basis of sarcopenia and osteoporosis: insights from GWAS and multi-omics analyses.Journal of bone and mineral metabolism · 2026Article
- Genetic architectures of brain-related traits are shaped by strong selective constraints.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
225 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors at 4 institutions in 3 countries.
Funding
Abstract
Accumulating evidence from genome wide association studies (GWAS) suggests an abundance of shared genetic influences among complex human traits and disorders, such as mental disorders. Here we introduce a statistical tool, MiXeR, which quantifies polygenic overlap irrespective of genetic correlation, using GWAS summary statistics. MiXeR results are presented as a Venn diagram of unique and shared polygenic components across traits. At 90% of SNP-heritability explained for each phenotype, MiXeR estimates that 8.3 K variants causally influence schizophrenia and 6.4 K influence bipolar disorder. Among these variants, 6.2 K are shared between the disorders, which have a high genetic correlation. Further, MiXeR uncovers polygenic overlap between schizophrenia and educational attainment. Despite a genetic correlation close to zero, the phenotypes share 8.3 K causal variants, while 2.5 K additional variants influence only educational attainment. By considering the polygenicity, discoverability and heritability of complex phenotypes, MiXeR analysis may improve our understanding of cross-trait genetic architectures.
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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.