ReviewCurrent opinion in lipidology2010
PhenX: a toolkit for interdisciplinary genetics research.
Review in Current opinion in lipidology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers.
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
60 citing papers in PubMed.
- Trial
- Eye Dynamics and Engineering Network Consortium: Baseline Characteristics of a Randomized Trial in Healthy Adults.Ophthalmology. GlaucomaTrial
- Effects of working memory and reward reactivity on externalizing behaviors in the ABCD study.Developmental cognitive neuroscience · 2026Article
- Changes in white matter volume and cortical thickness predict internalizing symptoms during early adolescence.Journal of psychopathology and clinical science · 2026Article
- Article
- Ethnic Discrimination's Role on Increased Substance Susceptibility and Use Among U.S. Youth.American journal of preventive medicine · 2025Article
- Childhood adversity is associated with reduced BOLD response in inhibitory control regions amongst preadolescents from the ABCD study.Developmental cognitive neuroscience · 2024Article
- From Mendel to multi-omics: shifting paradigms.European journal of human genetics : EJHG · 2024Article
- Large-scale investigation of white matter structural differences in bilingual and monolingual children: An adolescent brain cognitive development data study.Human brain mapping · 2024Article
- Genetic and brain similarity independently predict childhood anthropometrics and neighborhood socioeconomic conditions.Developmental cognitive neuroscience · 2024Article
- Article
- Treatment of US Children With Attention-Deficit/Hyperactivity Disorder in the Adolescent Brain Cognitive Development Study.JAMA network open · 2023Article
- The propensity to sign-track is associated with externalizing behavior and distinct patterns of reward-related brain activation in youth.Scientific reports · 2023Article
- Article
- Hispanic/Latinx ethnic differences in the relationships between behavioral inhibition, anxiety, and substance use in youth from the ABCD cohort.Frontiers in psychiatry · 2023Article
- Developing Clinical Phenotype Data Collection Standards for Research in Africa.Global health, epidemiology and genomics · 2023Article
- Longitudinally stable, brain-based predictive models mediate the relationships between childhood cognition and socio-demographic, psychological and genetic factors.Human brain mapping · 2022Article
- Identifying Datasets for Cross-Study Analysis in dbGaP using PhenX.Scientific data · 2022Article
- Application of the RDoC Framework to Predict Alcohol Use and Suicidal Thoughts and Behaviors among Early Adolescents in the Adolescent Brain and Cognitive Development (ABCD) Study.Brain sciences · 2022Article
- Individual-, peer-, and parent-level substance use-related factors among 9- and 10-year-olds from the ABCD Study: Prevalence rates and sociodemographic differences.Drug and alcohol dependence reports · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
purpose of reviewTo highlight standard PhenX (consensus measures for Phenotypes and eXposures) measures for nutrition, dietary supplements, and cardiovascular disease research and to demonstrate how these and other PhenX measures can be used to further interdisciplinary genetics research. RECENT
findingsPhenX addresses the need for standard measures in large-scale genomic research studies by providing investigators with high-priority, well established, low-burden measurement protocols in a web-based toolkit (https://www.phenxtoolkit.org). Cardiovascular and Nutrition and Dietary Supplements are just 2 of 21 research domains and accompanying measures included in the PhenX Toolkit. SUMMARY: Genome-wide association studies (GWAS) provide promise for the identification of genomic markers associated with different disease phenotypes, but require replication to validate results. Cross-study comparisons typically increase statistical power and are required to understand the roles of comorbid conditions and environmental factors in the progression of disease. However, the lack of comparable phenotypic, environmental, and risk factor data forces investigators to infer and to compare metadata rather than directly combining data from different studies. PhenX measures provide a common currency for collecting data, thereby greatly facilitating cross-study analysis and increasing statistical power for identification of associations between genotypes, phenotypes, and exposures.
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.