ArticleCognitive neuropsychiatry2009
Genome-wide strategies for discovering genetic influences on cognition and cognitive disorders: methodological considerations.
Article in Cognitive neuropsychiatry, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 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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Who cites it
62 citing papers in PubMed, 1 synthesis or guideline pooled it, 99 citations in OpenAlex.
- Genetic analysis of quantitative phenotypes in AD and MCI: imaging, cognition and biomarkers.Brain imaging and behavior · 2014Pooled it
- Rare genomic structural variants in complex disease: lessons from the replication of associations with obesity.PloS one · 2013Trial
- A Genome-Wide Association Study Suggests Novel Loci Associated with a Schizophrenia-Related Brain-Based Phenotype.PloS one · 2013Trial
- Genetic impacts on nigral iron deposition in Parkinson's disease: A preliminary quantitative susceptibility mapping study.CNS neuroscience & therapeutics · 2023Article
- Brain structure and allelic associations in Alzheimer's disease.CNS neuroscience & therapeutics · 2023Article
- Applications and Challenges of Machine Learning Methods in Alzheimer's Disease Multi-Source Data Analysis.Current genomics · 2021Review
- Associating Multi-Modal Brain Imaging Phenotypes and Genetic Risk Factors via a Dirty Multi-Task Learning Method.IEEE transactions on medical imaging · 2020Article
- Detecting genetic associations with brain imaging phenotypes in Alzheimer's disease via a novel structured SCCA approach.Medical image analysis · 2020Article
- Brain Imaging Genomics: Integrated Analysis and Machine Learning.Proceedings of the IEEE. Institute of Electrical and Electronics Engineers · 2020Article
- Genome-wide association study identifiesAnnals of translational medicine · 2018Article
- Genes associated with anhedonia: a new analysis in a large clinical trial (GENDEP).Translational psychiatry · 2018Article
- The Role of Pharmacogenomics in Bipolar Disorder: Moving Towards Precision Medicine.Molecular diagnosis & therapy · 2018Review
- Longitudinal Genotype-Phenotype Association Study through Temporal Structure Auto-Learning Predictive Model.Journal of computational biology : a journal of computational molecular cell biology · 2018Article
- A novel SCCA approach via truncated ℓ1-norm and truncated group lasso for brain imaging genetics.Bioinformatics (Oxford, England) · 2018Article
- Genotype-phenotype association study via new multi-task learning model.Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing · 2018Article
- Pattern Discovery in Brain Imaging Genetics via SCCA Modeling with a Generic Non-convex Penalty.Scientific reports · 2017Article
- Identifying Associations Between Brain Imaging Phenotypes and Genetic Factors via A Novel Structured SCCA Approach.Information processing in medical imaging : proceedings of the ... conference · 2017Article
- Longitudinal Genotype-Phenotype Association Study via Temporal Structure Auto-Learning Predictive Model.Research in computational molecular biology : ... Annual International Conference, RECOMB ... : proceedings. RECOMB (Conference : 2005- ) · 2017Article
- Integrated analysis of genetic, behavioral, and biochemical data implicates neural stem cell-induced changes in immunity, neurotransmission and mitochondrial function in Dementia with Lewy Body mice.Acta neuropathologica communications · 2017Article
- ENIGMA and the individual: Predicting factors that affect the brain in 35 countries worldwide.NeuroImage · 2017Review
2 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
7 authors at 3 institutions in 2 countries.
Funding
Abstract
introductionGenes play a well-documented role in determining normal cognitive function. This paper focuses on reviewing strategies for the identification of common genetic variation in genes that modulate normal and abnormal cognition with a genome-wide association scan (GWAS). GWASs make it possible to survey the entire genome to discover important but unanticipated genetic influences.
methodsThe use of a quantitative phenotype in combination with a GWAS provides many advantages over a case-control design, both in power and in physiological understanding of the underlying cognitive processes. We review the major features of this approach, and show how, using a General Linear Model method, the contribution of each Single Nucleotide Polymorphism (SNP) to the phenotype is determined, and adjustments then made for multiple tests. An example of the strategy is presented, in which fMRI measures of cortical inefficiency while performing a working memory task are used as the quantitative phenotype. We estimate power under different effect sizes (10-30%) and variations in allelic frequency for a Quantitative Trait (QT) (10-20%), and compare them to a case-control design with an Odds Ratio (OR) of 1.5, showing how a QT approach is superior to a traditional case-control. In the presented example, this method identifies putative susceptibility genes for schizophrenia which affect prefrontal efficiency and have functions related to cell migration, forebrain development and stress response.
conclusionThe use of QT as phenotypes provide increased statistical power over categorical association approaches and when combined with a GWAS creates a strategy for identification of unanticipated genes that modulate cognitive processes and cognitive 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.