ArticleFrontiers in neuroscience2012
Discovery and Replication of Gene Influences on Brain Structure Using LASSO Regression.
Article in Frontiers in neuroscience, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
57 citing papers in PubMed, 1 synthesis or guideline pooled it, 112 citations in OpenAlex.
- Genetic analysis of quantitative phenotypes in AD and MCI: imaging, cognition and biomarkers.Brain imaging and behavior · 2014Pooled it
- Epigenome-wide Analysis Identifies Genes and Pathways Linked to Neurobehavioral Variation in Preterm Infants.Scientific reports · 2019Trial
- Antipsychotic use in bipolar disorder: clinical and genomic correlates- a Mayo clinic bipolar disorder biobank study.International journal of bipolar disorders · 2025Article
- Antipsychotic Use in Bipolar Disorder: Clinical and Genomic Correlates- A Mayo Clinic Bipolar Disorder Biobank Study.Research square · 2025Article
- Single-Cell Transcriptomic Profiling Reveals Regional Differences in the Prefrontal and Entorhinal Cortex of Alzheimer's Disease Brain.International journal of molecular sciences · 2025Article
- Genetic markers of early response to lurasidone in acute schizophrenia.The pharmacogenomics journal · 2025Article
- The metabolic sensor AMPK: Twelve enzymes in one.Molecular metabolism · 2024Review
- Deep joint learning diagnosis of Alzheimer's disease based on multimodal feature fusion.BioData mining · 2024Article
- Methodologies underpinning polygenic risk scores estimation: a comprehensive overview.Human genetics · 2024Review
- FPLS-DC: functional partial least squares through distance covariance for imaging genetics.Bioinformatics (Oxford, England) · 2024Article
- Discovering candidate SNPs for resilience breeding of red clover.Frontiers in plant science · 2022Article
- Coherent neural oscillations inform early stroke motor recovery.Human brain mapping · 2021Article
- Informing the study of suicidal thoughts and behaviors in distressed young adults: The use of a machine learning approach to identify neuroimaging, psychiatric, behavioral, and demographic correlates.Psychiatry research. Neuroimaging · 2021Article
- Peripheral Expression ofPsychiatry and clinical psychopharmacology · 2021Article
- Comparison of three statistical approaches for feature selection for fine-scale genetic population assignment in four pig breeds.Tropical animal health and production · 2021Article
- A Structured Brain-wide and Genome-wide Association Study Using ADNI PET Images.The Canadian journal of statistics = Revue canadienne de statistique · 2021Article
- Genome-wide association studies of brain imaging data via weighted distance correlation.Bioinformatics (Oxford, England) · 2020Article
- Aggression based genome-wide, glutamatergic, dopaminergic and neuroendocrine polygenic risk scores predict callous-unemotional traits.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2020Article
- RBFOX1, encoding a splicing regulator, is a candidate gene for aggressive behavior.European neuropsychopharmacology : the journal of the European College of Neuropsychopharmacology · 2020Review
- A Novel Three-Stage Framework for Association Analysis Between SNPs and Brain Regions.Frontiers in genetics · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
16 authors at 1 institution in 1 country.
Funding
Abstract
We implemented least absolute shrinkage and selection operator (LASSO) regression to evaluate gene effects in genome-wide association studies (GWAS) of brain images, using an MRI-derived temporal lobe volume measure from 729 subjects scanned as part of the Alzheimer's Disease Neuroimaging Initiative (ADNI). Sparse groups of SNPs in individual genes were selected by LASSO, which identifies efficient sets of variants influencing the data. These SNPs were considered jointly when assessing their association with neuroimaging measures. We discovered 22 genes that passed genome-wide significance for influencing temporal lobe volume. This was a substantially greater number of significant genes compared to those found with standard, univariate GWAS. These top genes are all expressed in the brain and include genes previously related to brain function or neuropsychiatric disorders such as MACROD2, SORCS2, GRIN2B, MAGI2, NPAS3, CLSTN2, GABRG3, NRXN3, PRKAG2, GAS7, RBFOX1, ADARB2, CHD4, and CDH13. The top genes we identified with this method also displayed significant and widespread post hoc effects on voxelwise, tensor-based morphometry (TBM) maps of the temporal lobes. The most significantly associated gene was an autism susceptibility gene known as MACROD2. We were able to successfully replicate the effect of the MACROD2 gene in an independent cohort of 564 young, Australian healthy adult twins and siblings scanned with MRI (mean age: 23.8 ± 2.2 SD years). Our approach powerfully complements univariate techniques in detecting influences of genes on the living brain.
Indexed as
Identifiers
What OpenQuestion holds
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.