SynthesisAmerican journal of human genetics2022
Meta-imputation: An efficient method to combine genotype data after imputation with multiple reference panels.
Synthesis in American journal of human genetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
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
28 citing papers in PubMed, 44 citations in OpenAlex.
- The Soifua Manuia reference panel with 2,570 Samoan haplotypes improves genotype imputation quality among Samoans.Communications biology · 2026Article
- ALGI: Sparse Convolutional Denoising Autoencoder Utilizing Local Genomic Information for Genotype Imputation.Animals : an open access journal from MDPI · 2026Article
- Meta-analysis of over 8,000 individuals from Hawai'i and Samoa for genetic associations to cardiometabolic phenotypes.medRxiv : the preprint server for health sciences · 2026Article
- A reference panel for linkage disequilibrium and genotype imputation using whole-genome sequencing data from 2,680 participants across India.HGG advances · 2026Article
- MetaGLIMPSE: Meta-imputation of low-coverage sequencing data for modern and ancient genomes.American journal of human genetics · 2026Article
- A multi-ancestry genetic reference for the Quebec population.Nature communications · 2026Article
- Advances in haplotype phasing and genotype imputation.Nature reviews. Genetics · 2026Review
- High-quality Population-specific Haplotype-resolved Reference Panel in the Genomic and Pangenomic Eras.Genomics, proteomics & bioinformatics · 2025Review
- Methodological opportunities in genomic data analysis to advance health equity.Nature reviews. Genetics · 2025Review
- MetaGLIMPSE: Meta Imputation of Low Coverage Sequencing Data for Modern and Ancient Genomes.bioRxiv : the preprint server for biology · 2025Article
- The Eating Disorders Genetics Initiative 2 (EDGI2): study protocol.BMC psychiatry · 2025Article
- FLT1 and other candidate fetal haemoglobin modifying loci in sickle cell disease in African ancestries.Nature communications · 2025Article
- SEAD reference panel with 22,134 haplotypes boosts rare variant imputation and genome-wide association analysis in Asian populations.Nature communications · 2024Article
- A genotype imputation reference panel specific for native Southeast Asian populations.NPJ genomic medicine · 2024Article
- Building and sharing medical cohorts for research.Innovation (Cambridge (Mass.)) · 2024Review
- Imputation accuracy across global human populations.American journal of human genetics · 2024Article
- A resampling-based approach to share reference panels.Nature computational science · 2024Article
- Article
- How local reference panels improve imputation in French populations.Scientific reports · 2024Article
- Evaluation of imputation performance of multiple reference panels in a Pakistani population.medRxiv : the preprint server for health sciences · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 4 institutions in 3 countries.
Funding
Abstract
Genotype imputation is an integral tool in genome-wide association studies, in which it facilitates meta-analysis, increases power, and enables fine-mapping. With the increasing availability of whole-genome-sequence datasets, investigators have access to a multitude of reference-panel choices for genotype imputation. In principle, combining all sequenced whole genomes into a single large panel would provide the best imputation performance, but this is often cumbersome or impossible due to privacy restrictions. Here, we describe meta-imputation, a method that allows imputation results generated using different reference panels to be combined into a consensus imputed dataset. Our meta-imputation method requires small changes to the output of existing imputation tools to produce necessary inputs, which are then combined using dynamically estimated weights that are tailored to each individual and genome segment. In the scenarios we examined, the method consistently outperforms imputation using a single reference panel and achieves accuracy comparable to imputation using a combined reference panel.
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.