ArticleMolecular psychiatry2018
Predicting educational achievement from DNA.
Article in Molecular psychiatry, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 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
4 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Evaluating risk for alcohol use disorder: Polygenic risk scores and family history.Alcoholism, clinical and experimental research · 2022Pooled it
- Alcohol Use Disorder Polygenic Score Compared With Family History and ADH1B.JAMA network open · 2024Article
- Genomic prediction of cognitive traits in childhood and adolescence.Molecular psychiatry · 2019Article
- Putting Psychology to the Test: Rethinking Model Evaluation Through Benchmarking and Prediction.Advances in methods and practices in psychological scienceArticle
Corrections and comments
- Erratum for
Authors and funding
9 authors.
Funding
Abstract
This corrects the article DOI: 10.1038/mp.2016.107.
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.