ArticleProceedings of the National Academy of Sciences of the United States of America2017
Identification of individuals by trait prediction using whole-genome sequencing data.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 59 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
59 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Advancement in Human Face Prediction Using DNA.Genes · 2023Pooled it
- Large-scale human genomic resources drive innovations toward forensic intelligent source attribution and precision identification.International journal of legal medicine · 2026Review
- Moving the Fine Print to the Front Page: Transparent Communication of Facial Genetics Research.Advanced genetics (Hoboken, N.J.) · 2025Article
- Genome-scale prediction of gene ontology from mass fingerprints reveals new metabolic gene functions.Life science alliance · 2025Article
- Regulating genome language models: navigating policy challenges at the intersection of AI and genetics.Human genetics · 2025Review
- Forensic skeletal and molecular anthropology face to face: Combining expertise for identification of human remains.Annals of the New York Academy of Sciences · 2025Review
- [Application of HIrisPlex-S System in Forensic DNA Phenotyping].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2025Article
- Combined genome-wide association study of facial traits in Europeans increases explained variance and improves prediction.Nature communications · 2025Article
- The effects of loss of Y chromosome on male health.Nature reviews. Genetics · 2025Review
- Siamese neural network-enhanced electrocardiography can re-identify anonymized healthcare data.European heart journal. Digital health · 2025Article
- Forensic DNA phenotyping: a review on SNP panels, genotyping techniques, and prediction models.Forensic sciences research · 2025Review
- Astronaut omics and the impact of space on the human body at scale.Nature communications · 2024Review
- Assessing Privacy Vulnerabilities in Genetic Data Sets: Scoping Review.JMIR bioinformatics and biotechnology · 2024Article
- The Anonymous Data Warehouse: A Hands-On Framework for Anonymizing Data From Digital Health Applications.Cureus · 2024Article
- Future-proofing genomic data and consent management: a comprehensive review of technology innovations.GigaScience · 2024Review
- The face as folded object: Race and the problems with 'progress' in forensic DNA phenotyping.Social studies of science · 2023Article
- Openness in Scientific Research: A Historical and Philosophical Perspective.Journal of open access to law · 2023Article
- Article
- Biology and Criminology: Data Practices and the Creation of Anatomic and Genomic Body 'Types'.Critical criminology · 2023Article
- Routine omics collection is a golden opportunity for European human research in space and analog environments.Patterns (New York, N.Y.) · 2022Review
Corrections and comments
- Commented on by
- Erratum issued
Authors and funding
28 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Prediction of human physical traits and demographic information from genomic data challenges privacy and data deidentification in personalized medicine. To explore the current capabilities of phenotype-based genomic identification, we applied whole-genome sequencing, detailed phenotyping, and statistical modeling to predict biometric traits in a cohort of 1,061 participants of diverse ancestry. Individually, for a large fraction of the traits, their predictive accuracy beyond ancestry and demographic information is limited. However, we have developed a maximum entropy algorithm that integrates multiple predictions to determine which genomic samples and phenotype measurements originate from the same person. Using this algorithm, we have reidentified an average of >8 of 10 held-out individuals in an ethnically mixed cohort and an average of 5 of either 10 African Americans or 10 Europeans. This work challenges current conceptions of personal privacy and may have far-reaching ethical and legal implications.
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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 OpenQuestion graph.