ReviewNature reviews. Genetics2022
Opportunities and challenges for the use of common controls in sequencing studies.
Review in Nature reviews. Genetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06362278 (A Multi-omics Study of Patients With Premature Coronary Artery Disease in the Absence of Common Risk Factors), which is not on this map. Cited by 22 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.
A Multi-omics Study of Patients With Premature Coronary Artery Disease in the Absence of Common Risk Factors
Who cites it
22 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Assessing the contribution of rare protein-coding germline variants to prostate cancer risk and severity in 37,184 cases.Nature communications · 2025Pooled it
- Approach to the patient: genetics and management of congenital hypothyroidism.The Journal of clinical endocrinology and metabolism · 2026Article
- CCAFE: Estimating case and control allele frequencies from GWAS summary statistics.HGG advances · 2026Article
- RAREsim2: flexible simulation of rare variant genetic data using real haplotypes.Bioinformatics (Oxford, England) · 2026Article
- Whole exome sequencing analysis of suicidal thoughts and behaviors in a veteran cohort implicates inflammatory pathways and genes previously associated with psychiatric and neurodegenerative diseases.Journal of affective disorders · 2026Article
- Adjustment for Genotype Imputation Uncertainty Corrects for Inflated Type I Error in Family-Based Association Testing.Genetic epidemiology · 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
- The landscape of germline variants in breast and colorectal cancer susceptibility genes in patients with pituitary tumours.Journal of neuro-oncology · 2025Article
- Methodological opportunities in genomic data analysis to advance health equity.Nature reviews. Genetics · 2025Review
- Genomic Insights into Tumorigenesis in Newly Diagnosed Multiple Myeloma.Diagnostics (Basel, Switzerland) · 2025Article
- Deleterious variants in intolerant genes reveal new candidates for self-limited delayed puberty.European journal of endocrinology · 2025Article
- Characterizing substructure via mixture modeling in large-scale genetic summary statistics.American journal of human genetics · 2025Article
- The expanding diagnostic toolbox for rare genetic diseases.Nature reviews. Genetics · 2024Review
- Characterizing substructure via mixture modeling in large-scale genetic summary statistics.bioRxiv : the preprint server for biology · 2024Article
- Public platform with 39,472 exome control samples enables association studies without genotype sharing.Nature genetics · 2024Article
- Principles and methods for transferring polygenic risk scores across global populations.Nature reviews. Genetics · 2024Review
- Increase in power by obtaining 10 or more controls per case when type-1 error is small in large-scale association studies.BMC medical research methodology · 2023Article
- A crowdsourcing database for the copy-number variation of the Spanish population.Human genomics · 2023Article
- Pathogen exposure misclassification can bias association signals in GWAS of infectious diseases when using population-based common control subjects.American journal of human genetics · 2023Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
Abstract
Genome-wide association studies using large-scale genome and exome sequencing data have become increasingly valuable in identifying associations between genetic variants and disease, transforming basic research and translational medicine. However, this progress has not been equally shared across all people and conditions, in part due to limited resources. Leveraging publicly available sequencing data as external common controls, rather than sequencing new controls for every study, can better allocate resources by augmenting control sample sizes or providing controls where none existed. However, common control studies must be carefully planned and executed as even small differences in sample ascertainment and processing can result in substantial bias. Here, we discuss challenges and opportunities for the robust use of common controls in high-throughput sequencing studies, including study design, quality control and statistical approaches. Thoughtful generation and use of large and valuable genetic sequencing data sets will enable investigation of a broader and more representative set of conditions, environments and genetic ancestries than otherwise possible.
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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.