ArticleScience (New York, N.Y.)2018
Phenotype risk scores identify patients with unrecognized Mendelian disease patterns.
Article in Science (New York, N.Y.), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 121 papers, 2 of them syntheses 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
121 citing papers in PubMed, 2 syntheses or guidelines pooled it, 238 citations in OpenAlex.
- Pooled it
- A systematic literature review of individuals' perspectives on privacy and genetic information in the United States.PloS one · 2018Pooled it
- The genetic architecture of fibromyalgia across 2.5 million individuals.Nature medicine · 2026Article
- Embeddings of clinical codes enable knowledge-grounded AI in medicine.NPJ digital medicine · 2026Article
- Interpretable fine-tuned large language models facilitate making genetic test decisions for rare diseases.NPJ digital medicine · 2026Article
- Proceedings of the second Artificial Intelligence in Primary Immunodeficiency (AIPI) meeting.The Journal of allergy and clinical immunology · 2026Article
- Molecular characterization of recessively inherited ataxic and neuropathic disorders in consanguineous Pakistani families.Scientific reports · 2026Article
- Developing a phenotype risk score formedRxiv : the preprint server for health sciences · 2026Article
- Residual allelic activity likely underlies the low rates of disease expression for predicted loss-of-function variants in population-scale biobanks.American journal of human genetics · 2025Article
- PERADIGM: Phenotype embedding similarity-based rare disease gene mapping.PLoS genetics · 2025Article
- Challenges and Opportunities in Characterizing the Genetics of Stuttering: From Sample Acquisition to Functional Interpretation of the Genome.Journal of speech, language, and hearing research : JSLHR · 2025Review
- Development of a genetic priority score to predict drug side effects using human genetic evidence.Nature communications · 2025Article
- Cross-biobank generalizability and accuracy of electronic health record-based predictors compared to polygenic scores.Nature genetics · 2025Article
- Diseases Common in Persons With Cystic Fibrosis Among CFTR Heterozygotes.JAMA internal medicine · 2025Article
- Decoding Immunodeficiencies with Artificial Intelligence: A New Era of Precision Medicine.Biomedicines · 2025Review
- Structural and molecular basis of PCNA-activated FAN1 nuclease function in DNA repair.Nature communications · 2025Article
- Characterizing trends in clinical genetic testing: A single-center analysis of EHR data from 1.8 million patients over two decades.American journal of human genetics · 2025Article
- Applying artificial intelligence to rare diseases: a literature review highlighting lessons from Fabry disease.Orphanet journal of rare diseases · 2025Review
- Genetic association studies using disease liabilities from deep neural networks.American journal of human genetics · 2025Article
- Artificial intelligence in clinical genetics.European journal of human genetics : EJHG · 2025Review
61 more citing papers are in PubMed but not listed here.
Corrections and comments
- Commented on by
- Commented on by
Authors and funding
27 authors at 3 institutions in 1 country.
Funding
Abstract
Genetic association studies often examine features independently, potentially missing subpopulations with multiple phenotypes that share a single cause. We describe an approach that aggregates phenotypes on the basis of patterns described by Mendelian diseases. We mapped the clinical features of 1204 Mendelian diseases into phenotypes captured from the electronic health record (EHR) and summarized this evidence as phenotype risk scores (PheRSs). In an initial validation, PheRS distinguished cases and controls of five Mendelian diseases. Applying PheRS to 21,701 genotyped individuals uncovered 18 associations between rare variants and phenotypes consistent with Mendelian diseases. In 16 patients, the rare genetic variants were associated with severe outcomes such as organ transplants. PheRS can augment rare-variant interpretation and may identify subsets of patients with distinct genetic causes for common diseases.
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.