ReviewNature reviews. Genetics2017
Dissecting the genetics of complex traits using summary association statistics.
Review in Nature reviews. Genetics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 249 papers, 7 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
249 citing papers in PubMed, 7 syntheses or guidelines pooled it.
- Integrative Genome-wide Association Meta-analysis of Aortic Aneurysm and Dissection Identifies Five Novel Genes.Genomics, proteomics & bioinformatics · 2025Pooled it
- MetaGS: an accurate method to impute and combine SNP effects across populations using summary statistics.Genetics, selection, evolution : GSE · 2022Pooled it
- Reconstructing SNP allele and genotype frequencies from GWAS summary statistics.Scientific reports · 2022Pooled it
- ANNORE: genetic fine-mapping with functional annotation.Human molecular genetics · 2021Pooled it
- Incorporating functional priors improves polygenic prediction accuracy in UK Biobank and 23andMe data sets.Nature communications · 2021Pooled it
- Genetic association study of childhood aggression across raters, instruments, and age.Translational psychiatry · 2021Pooled it
- Meta-analysis of genome-wide association studies provides insights into genetic control of tomato flavor.Nature communications · 2019Pooled it
- Exploratory Genome and Transcriptome-Wide Association Analyses of Addiction-Related Phenotypes in a Twin Cohort.Biomedicines · 2026Article
- EpiSNPdb: A Comprehensive Database of Genetic Epistasis Across Multiple Cancer Types.Current issues in molecular biology · 2026Article
- DYRK1A and Parkinson's disease, facts and hypotheses.Neurobiology of disease · 2026Review
- Comparative fine-mapping of breast cancer susceptibility loci using summary statistics methods and multinomial regression.medRxiv : the preprint server for health sciences · 2026Article
- Functionally informed cis and trans proteome-wide association studies prioritize disease-critical genes.Research square · 2026Article
- Functionally informed cis and trans proteome-wide association studies prioritize disease-critical genes.medRxiv : the preprint server for health sciences · 2026Article
- UK BioCoin: swift trait-specific summary statistics regression for UK Biobank.Nature communications · 2026Article
- An integrative association analysis for complex diseases in underrepresented groups by leveraging the trans-ethnic genetic similarity.Briefings in bioinformatics · 2026Article
- Fast and flexible joint fine-mapping of multiple traits via the Sum of Single Effects model.Nature genetics · 2026Article
- A resource of "bottom-line" variant associations for 1,281 complex traits by integrating data across published genome-wide association studies.Research square · 2026Article
- Personality Genomics.Annual review of psychology · 2026Review
- MultiSuSiE improves multi-ancestry fine-mapping in All of Us whole-genome sequencing data.Nature genetics · 2026Article
- Sex-Specific Genetic Architecture and Comorbidities of Alcohol Use Behaviors.medRxiv : the preprint server for health sciences · 2025Article
189 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
During the past decade, genome-wide association studies (GWAS) have been used to successfully identify tens of thousands of genetic variants associated with complex traits and diseases. These studies have produced extensive repositories of genetic variation and trait measurements across large numbers of individuals, providing tremendous opportunities for further analyses. However, privacy concerns and other logistical considerations often limit access to individual-level genetic data, motivating the development of methods that analyse summary association statistics. Here, we review recent progress on statistical methods that leverage summary association data to gain insights into the genetic basis of complex traits and diseases.
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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.