ArticleAmerican journal of human genetics2017
Prospects of Fine-Mapping Trait-Associated Genomic Regions by Using Summary Statistics from Genome-wide Association Studies.
Article in American journal of human genetics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 172 papers, 18 of them syntheses that pooled it.
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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.
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Who cites it
172 citing papers in PubMed, 18 syntheses or guidelines pooled it.
- Pooled it
- Consensus meta-analysis of genome-wide association studies for Alzheimer's disease and related dementias.Nature genetics · 2026Pooled it
- Genetic architecture of lumbar spinal stenosis.Nature communications · 2026Pooled it
- Fine-mapping a genome-wide meta-analysis of 98,374 migraine cases identifies 181 sets of candidate causal variants.Nature communications · 2026Pooled it
- Rare genetic variation in PTPRB is associated with central serous chorioretinopathy, varicose veins and glaucoma.Nature communications · 2025Pooled it
- A multi-ancestry genetic study of pain intensity in 598,339 veterans.Nature medicine · 2024Pooled it
- East Asian-specific and cross-ancestry genome-wide meta-analyses provide mechanistic insights into peptic ulcer disease.Nature genetics · 2023Pooled it
- CARMA is a new Bayesian model for fine-mapping in genome-wide association meta-analyses.Nature genetics · 2023Pooled it
- GhostKnockoff inference empowers identification of putative causal variants in genome-wide association studies.Nature communications · 2022Pooled it
- Pooled it
- Genome-wide meta-analysis for Alzheimer's disease cerebrospinal fluid biomarkers.Acta neuropathologica · 2022Pooled it
- Genome-wide meta-analysis of insomnia prioritizes genes associated with metabolic and psychiatric pathways.Nature genetics · 2022Pooled it
- The genetic architecture of pneumonia susceptibility implicates mucin biology and a relationship with psychiatric illness.Nature communications · 2022Pooled it
- Genome-wide analysis of 102,084 migraine cases identifies 123 risk loci and subtype-specific risk alleles.Nature genetics · 2022Pooled it
- Leveraging Northern European population history: novel low-frequency variants for polycystic ovary syndrome.Human reproduction (Oxford, England) · 2022Pooled it
- Genome-wide meta-analysis, fine-mapping and integrative prioritization implicate new Alzheimer's disease risk genes.Nature genetics · 2021Pooled it
- A catalog of genetic loci associated with kidney function from analyses of a million individuals.Nature genetics · 2019Pooled it
- Genetic mechanisms underlying spermatic and testicular traits within and among cattle breeds: systematic review and prioritization of GWAS results.Journal of animal science · 2018Pooled it
- Article
- CuGen: A GPU-accelerated framework for large-scale genomics.medRxiv : the preprint server for health sciences · 2026Article
112 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
6 authors.
Funding
Abstract
During the past few years, various novel statistical methods have been developed for fine-mapping with the use of summary statistics from genome-wide association studies (GWASs). Although these approaches require information about the linkage disequilibrium (LD) between variants, there has not been a comprehensive evaluation of how estimation of the LD structure from reference genotype panels performs in comparison with that from the original individual-level GWAS data. Using population genotype data from Finland and the UK Biobank, we show here that a reference panel of 1,000 individuals from the target population is adequate for a GWAS cohort of up to 10,000 individuals, whereas smaller panels, such as those from the 1000 Genomes Project, should be avoided. We also show, both theoretically and empirically, that the size of the reference panel needs to scale with the GWAS sample size; this has important consequences for the application of these methods in ongoing GWAS meta-analyses and large biobank studies. We conclude by providing software tools and by recommending practices for sharing LD information to more efficiently exploit summary statistics in genetics research.
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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.