ArticleBioinformatics (Oxford, England)2023
Expanded utility of the R package, qgg, with applications within genomic medicine.
Article in Bioinformatics (Oxford, England), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 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
8 citing papers in PubMed.
- mLeveraging genetic correlations to prioritize drug groups for repurposing in type 2 diabetes.The pharmacogenomics journal · 2025Article
- Enhanced genetic fine mapping accuracy with Bayesian Linear Regression models in diverse genetic architectures.PLoS genetics · 2025Article
- Improving polygenic prediction from summary data by learning patterns of effect sharing across multiple phenotypes.PLoS genetics · 2025Article
- Evaluation of Bayesian Linear Regression derived gene set test methods.BMC genomics · 2024Article
- Evaluation of Bayesian Linear Regression models for gene set prioritization in complex diseases.PLoS genetics · 2024Article
- Improving polygenic prediction from summary data by learning patterns of effect sharing across multiple phenotypes.bioRxiv : the preprint server for biology · 2024Article
- A Genetic Analysis of Current Medication Use in the UK Biobank.Journal of personalized medicine · 2024Article
- A genome-wide genomic score added to standard recommended stratification tools does not improve the identification of patients with very low bone mineral density.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 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
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
summaryHere, we present an expanded utility of the R package qgg for genetic analyses of complex traits and diseases. One of the major updates of the package is, that it now includes Bayesian linear regression modeling procedures, which provide a unified framework for mapping of genetic variants, estimation of heritability and genomic prediction from either individual level data or from genome-wide association study summary data. With this release, the qgg package now provides a wealth of the commonly used methods in analysis of complex traits and diseases, without the need to switch between software and data formats. AVAILABILITY AND IMPLEMENTATION: The methodologies are implemented in the publicly available R software package, qgg, using fast and memory efficient algorithms in C++ and is available on CRAN or as a developer version at our GitHub page (https://github.com/psoerensen/qgg). Notes on the implemented statistical genetic models, tutorials and example scripts are available at our GitHub page https://psoerensen.github.io/qgg/.
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.