ReviewNature reviews. Genetics2011
Assessing and managing risk when sharing aggregate genetic variant data.
Review in Nature reviews. Genetics, 2011. 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 34 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
34 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Reconstructing SNP allele and genotype frequencies from GWAS summary statistics.Scientific reports · 2022Pooled it
- A systematic literature review of individuals' perspectives on privacy and genetic information in the United States.PloS one · 2018Pooled it
- Homomorphic encryption enables privacy preserving polygenic risk scores.Cell reports methods · 2026Article
- Imputing Parental Genotypes Through Mendelian Imputation: Ethical and Legal Considerations.Behavior genetics · 2026Review
- The goldmine of GWAS summary statistics: a systematic review of methods and tools.BioData mining · 2024Article
- Assessing Privacy Vulnerabilities in Genetic Data Sets: Scoping Review.JMIR bioinformatics and biotechnology · 2024Article
- Sociotechnical safeguards for genomic data privacy.Nature reviews. Genetics · 2022Review
- Using game theory to thwart multistage privacy intrusions when sharing data.Science advances · 2021Article
- Re-identification of individuals in genomic datasets using public face images.Science advances · 2021Article
- Workshop proceedings: GWAS summary statistics standards and sharing.Cell genomics · 2021Article
- Is useful research data usually shared? An investigation of genome-wide association study summary statistics.PloS one · 2020Article
- Registered access: authorizing data access.European journal of human genetics : EJHG · 2018Article
- Non-coding RNAs in cardiovascular diseases: diagnostic and therapeutic perspectives.European heart journal · 2018Review
- Detecting the Presence of an Individual in Phenotypic Summary Data.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2018Article
- Balancing the local and the universal in maintaining ethical access to a genomics biobank.BMC medical ethics · 2017Review
- Mechanisms to protect the privacy of families when using the transmission disequilibrium test in genome-wide association studies.Bioinformatics (Oxford, England) · 2017Article
- Identification of individuals by trait prediction using whole-genome sequencing data.Proceedings of the National Academy of Sciences of the United States of America · 2017Article
- Controlling the signal: Practical privacy protection of genomic data sharing through Beacon services.BMC medical genomics · 2017Article
- Expanding Access to Large-Scale Genomic Data While Promoting Privacy: A Game Theoretic Approach.American journal of human genetics · 2017Article
- Privacy in the Genomic Era.ACM computing surveys · 2015Article
Corrections and comments
- Erratum issued
Authors and funding
8 authors.
Funding
Abstract
Access to genetic data across studies is an important aspect of identifying new genetic associations through genome-wide association studies (GWASs). Meta-analysis across multiple GWASs with combined cohort sizes of tens of thousands of individuals often uncovers many more genome-wide associated loci than the original individual studies; this emphasizes the importance of tools and mechanisms for data sharing. However, even sharing summary-level data, such as allele frequencies, inherently carries some degree of privacy risk to study participants. Here we discuss mechanisms and resources for sharing data from GWASs, particularly focusing on approaches for assessing and quantifying the privacy risks to participants that result from the sharing of summary-level data.
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.