ArticleGenetic epidemiology2011
Propensity score-based nonparametric test revealing genetic variants underlying bipolar disorder.
Article in Genetic epidemiology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis 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
26 citing papers in PubMed, 1 synthesis or guideline pooled it, 42 citations in OpenAlex.
- The Genetics of the Mood Disorder Spectrum: Genome-wide Association Analyses of More Than 185,000 Cases and 439,000 Controls.Biological psychiatry · 2020Pooled it
- Identification of genetic overlap and novel risk loci for attention-deficit/hyperactivity disorder and bipolar disorder.Molecular psychiatry · 2021Article
- Cilia interactome with predicted protein-protein interactions reveals connections to Alzheimer's disease, aging and other neuropsychiatric processes.Scientific reports · 2020Article
- DNA Variant in theMolecular neuropsychiatry · 2020Article
- The genetics of bipolar disorder.Molecular psychiatry · 2020Review
- Genetic Intersections of Language and Neuropsychiatric Conditions.Current psychiatry reports · 2020Review
- Replicability analysis in genome-wide association studies via Cartesian hidden Markov models.BMC bioinformatics · 2019Article
- Multisample adjusted U-statistics that account for confounding covariates.Statistics in medicine · 2018Article
- Architecture of polymorphisms in the human genome reveals functionally important and positively selected variants in immune response and drug transporter genes.Human genomics · 2018Article
- Polymorphisms in sex steroid receptors: From gene sequence to behavior.Frontiers in neuroendocrinology · 2017Review
- Association of established hypothyroidism-associated genetic variants with Hashimoto's thyroiditis.Journal of endocrinological investigation · 2017Article
- Gain of power of the general regression model compared to Cochran-Armitage Trend tests: simulation study and application to bipolar disorder.BMC genetics · 2017Article
- A polymorphism in the norepinephrine transporter gene is associated with affective and cardiovascular disease through a microRNA mechanism.Molecular psychiatry · 2017Article
- Replication of genome-wide association study (GWAS) susceptibility loci in a Latino bipolar disorder cohort.Bipolar disorders · 2016Article
- A weighted U statistic for association analyses considering genetic heterogeneity.Statistics in medicine · 2016Article
- GRACOMICS: software for graphical comparison of multiple results with omics data.BMC genomics · 2015Article
- Re-annotation of presumed noncoding disease/trait-associated genetic variants by integrative analyses.Scientific reports · 2015Article
- PLXNA4 is associated with Alzheimer disease and modulates tau phosphorylation.Annals of neurology · 2014Article
- Article
- A genome-wide association analysis of a broad psychosis phenotype identifies three loci for further investigation.Biological psychiatry · 2014Article
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
Association analysis has led to the identification of many genetic variants for complex diseases. While assessing the association between genes and a disease, other factors can play an important role. The consequence of not considering covariates (such as population stratification and environmental factors) is well-documented in genetic studies. We introduce a nonparametric test of association that adjusts for covariate effects. Specifically, the adjustment is realized through weights that are constructed from genomic propensity scores that summarize the contribution of all covariates. The benefit of our test is demonstrated through an important data set on bipolar disorder (BD) collected by the Wellcome Trust Case Control Consortium. When compared to other tests, our test identified an unreported region with three single nucleotide polymorphisms (SNPs) on chromosome 16 that show strong evidence of association (P-value <5 × 10(-7)). This region is near the RPGRIP1L gene known to be associated with BD. A haplotype block including these three SNPs was further discovered to be strongly associated with BD. It is also interesting to note that our nonparametric test did not reveal strong signals at two SNPs that were detected by a covariate-adjusted parametric test. This suggests that different methods of covariate adjustment can complement each other. Thus, we recommend using both parametric and nonparametric testing. Additionally, we performed simulation studies to compare our proposed test with the unadjusted test and an adjusted parametric test. Our finding underscores the importance of accommodating and controlling for covariate effects in discovering genetic variants associated with complex disorders.
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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 Socratic graph.