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Identifying systematic heterogeneity patterns in genetic association meta-analysis studies
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/(sici)1097-0258(19990215)18:3<321::aid-sim28>3.0.co;2-popenalex-snapshot
Meta-analysis: formulating, evaluating, combining, and reporting
inferredcites →https://doi.org/10.1002/sim.1186openalex-snapshot
Quantifying heterogeneity in a meta‐analysis
inferredcites →https://doi.org/10.1002/sim.1187openalex-snapshot
How should meta‐regression analyses be undertaken and interpreted?
inferredcites →https://doi.org/10.1002/sim.6632openalex-snapshot
Misunderstandings about Q and ‘Cochran's Q test' in meta‐analysis
inferredcites →https://doi.org/10.1007/978-94-011-6621-8_19openalex-snapshot
Genetics of Common Disorders
inferredcites →https://doi.org/10.1016/0197-2456(86)90046-2openalex-snapshot
Meta-analysis in clinical trials
inferredcites →https://doi.org/10.1016/j.ajhg.2011.04.014openalex-snapshot
Random-Effects Model Aimed at Discovering Associations in Meta-Analysis of Genome-wide Association Studies
inferredcites →https://doi.org/10.1016/j.ijcard.2013.12.065openalex-snapshot
Use of drug treatment for secondary prevention of cardiovascular disease in urban and rural communities of China: China Kadoorie Biobank Study of 0.5million people
inferredcites →https://doi.org/10.1016/s0140-6736(03)12715-8openalex-snapshot
Problems of reporting genetic associations with complex outcomes
inferredcites →https://doi.org/10.1016/s0140-6736(13)61097-1openalex-snapshot
Rapid health transition in China, 1990–2010: findings from the Global Burden of Disease Study 2010
inferredcites →https://doi.org/10.1038/nature06258openalex-snapshot
A second generation human haplotype map of over 3.1 million SNPs
inferredcites →https://doi.org/10.1038/nature08979openalex-snapshot
Genome-wide association study of CNVs in 16,000 cases of eight common diseases and 3,000 shared controls
inferredcites →https://doi.org/10.1038/nature15393openalex-snapshot
A global reference for human genetic variation
inferredcites →https://doi.org/10.1038/ng.3396openalex-snapshot
A comprehensive 1000 Genomes–based genome-wide association meta-analysis of coronary artery disease
inferredcites →https://doi.org/10.1038/ng.610openalex-snapshot
Estimation of effect size distribution from genome-wide association studies and implications for future discoveries
inferredcites →https://doi.org/10.1038/nrg1805openalex-snapshot
Genetic susceptibility to coronary artery disease: from promise to progress
inferredcites →https://doi.org/10.1080/00401706.1991.10484817openalex-snapshot
Categorical Data Analysis
inferredcites →https://doi.org/10.1093/nar/gkt1229openalex-snapshot
The NHGRI GWAS Catalog, a curated resource of SNP-trait associations
inferredcites →https://doi.org/10.1093/oxfordjournals.bmb.a070671openalex-snapshot
GENETICS OF COMMON DISORDERS
inferredcites →https://doi.org/10.1136/bmj.327.7414.557openalex-snapshot
Measuring inconsistency in meta-analyses
inferredcites →https://doi.org/10.1136/jmg.3.4.239openalex-snapshot
The Increased Risk of Death from Ischaemic Heart Disease in First Degree Relatives of 121 Men and 96 Women with Ischaemic Heart Disease
inferredcites →https://doi.org/10.1161/strokeaha.108.540112openalex-snapshot
Hemorrhagic and Ischemic Strokes Compared
inferredcites →https://doi.org/10.1371/journal.pcbi.1002822openalex-snapshot
Chapter 11: Genome-Wide Association Studies
inferredcites →https://doi.org/10.1513/pats.200907-058dpopenalex-snapshot
Genome-Wide Association Studies: What Do They Teach Us about Asthma and Chronic Obstructive Pulmonary Disease?
inferredcites →https://doi.org/10.2307/2669707openalex-snapshot
Bootstrap Methods and Their Application
inferredcites →https://doi.org/10.2307/2984123openalex-snapshot
Problems Arising in the Analysis of a Series of Similar Experiments
inferredcites →https://doi.org/10.2307/3001666openalex-snapshot
The Combination of Estimates from Different Experiments
inferredcites →https://doi.org/10.2307/3109789openalex-snapshot
Bootstrap Methods and Their Application
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.2139/ssrn.2939996openalex-extracted
The Concepts of 'Species' and 'Population' in Considering Ancient DNA and Building Phylogenetic Trees of Hominid Evolution
inferred← citeshttps://doi.org/10.1002/9781119099369.ch20openalex-snapshot
Meta‐Analysis in Genetic Association Studies
inferred← citeshttps://doi.org/10.1016/j.arthro.2020.12.199openalex-snapshot
Author Reply to “Regarding ‘The Effect of Combined Anterolateral and Anterior Cruciate Ligament Reconstruction on Reducing Pivot Shift Rate and Clinical Outcomes: A Meta‐analysis’”
inferred← citeshttps://doi.org/10.1016/j.tig.2018.03.005openalex-snapshot
Replicability and Prediction: Lessons and Challenges from GWAS
inferred← citeshttps://doi.org/10.1038/s41562-025-02145-1openalex-snapshot
Genome-wide association meta-analysis of age at onset of walking in over 70,000 infants of European ancestry
inferred← citeshttps://doi.org/10.1038/s41586-020-2786-7openalex-snapshot
Inherited myeloproliferative neoplasm risk affects haematopoietic stem cells
inferred← citeshttps://doi.org/10.1038/s41598-018-25460-2openalex-snapshot
Lack of genetic support for shared aetiology of Coronary Artery Disease and Late-onset Alzheimer’s disease
inferred← citeshttps://doi.org/10.1093/bioinformatics/btz590openalex-snapshot
Identifying small-effect genetic associations overlooked by the conventional fixed-effect model in a large-scale meta-analysis of coronary artery disease
inferred← citeshttps://doi.org/10.1097/md.0000000000019030openalex-snapshot
Comparison of rigid versus foldable iris-fixed phakic intraocular lens implantation for high myopia
inferred← citeshttps://doi.org/10.1101/2020.06.29.133702openalex-snapshot
Genome-wide association studies identify 137 loci for DNA methylation biomarkers of ageing
inferred← citeshttps://doi.org/10.1101/2022.01.24.477583openalex-snapshot
Modeling the longitudinal changes of ancestry diversity in the Million Veteran Program
inferred← citeshttps://doi.org/10.1111/nph.15449openalex-snapshot
Independent and Joint‐ GWAS for growth traits inEucalyptusby assembling genome‐wide data for 3373 individuals across four breeding populations
inferred← citeshttps://doi.org/10.1186/s13059-021-02398-9openalex-snapshot
Genome-wide association studies identify 137 genetic loci for DNA methylation biomarkers of aging
inferred← citeshttps://doi.org/10.1186/s40246-023-00487-3openalex-snapshot
Modeling the longitudinal changes of ancestry diversity in the Million Veteran Program
inferred← citeshttps://doi.org/10.1186/s43088-023-00361-0openalex-snapshot
A review article of inflammatory bowel disease treatment and pharmacogenomics
inferred← citeshttps://doi.org/10.13110/humanbiology.90.2.04openalex-snapshot
Probability, Populations, Phylogenetics, and Hominin Speciation
inferred← citeshttps://doi.org/10.1353/hub.2017.0061openalex-snapshot
Probability, Populations, Phylogenetics, and Hominin Speciation
inferred← citeshttps://doi.org/10.18174/538829openalex-snapshot
Small chicken, big story: detection of the genetic background of dwarfism in chicken using genomic analyses
inferred← citeshttps://doi.org/10.21037/tau.2019.12.03openalex-snapshot
Comparison of prostate cancer detection rates between magnetic resonance imaging-targeted biopsy and transrectal ultrasound-guided biopsy according to Prostate Imaging Reporting and Data System in patients with PSA ≥4 ng/mL: a systematic review and meta-analysis
inferred← citeshttps://doi.org/10.21608/bfsa.2023.300952openalex-snapshot
AZATHIOPRINE AND BIOLOGICAL TREATMENT GENETIC ASSOCIATION WITH CLINICAL RESPONSE AND TOXICITY IN INFLAMMATORY BOWEL DISEASE PATIENTS
inferred← citeshttps://doi.org/10.2340/00015555-3337openalex-snapshot
Multicomponent Biomarker Approach Improves the Accuracy of Diagnostic Biomarkers for Psoriasis Vulgaris
inferred← citeshttps://doi.org/10.32614/cran.package.getmstatisticopenalex-snapshot
getmstatistic: Quantifying Systematic Heterogeneity in Meta-Analysis
inferred← citeshttps://doi.org/10.3389/fgene.2018.00502openalex-snapshot
Six NSCL/P Loci Show Associations With Normal-Range Craniofacial Variation
inferred← citeshttps://doi.org/10.3390/genes12111804openalex-snapshot
A Genome-Wide Association Study of a Korean Population Identifies Genetic Susceptibility to Hypertension Based on Sex-Specific Differences
inferred← citeshttps://doi.org/10.48550/arxiv.2105.03993openalex-snapshot
Statistical Assessment of Replicability via Bayesian Model Criticism
inferred← citeshttps://doi.org/10.6084/m9.figshare.14880969openalex-snapshot
Additional file 1 of Genome-wide association studies identify 137 genetic loci for DNA methylation biomarkers of aging
inferred← citeshttps://doi.org/10.6084/m9.figshare.14880975openalex-snapshot
Additional file 2 of Genome-wide association studies identify 137 genetic loci for DNA methylation biomarkers of aging
inferred← citeshttps://doi.org/10.6084/m9.figshare.14880978openalex-snapshot
Additional file 3 of Genome-wide association studies identify 137 genetic loci for DNA methylation biomarkers of aging
inferred← citeshttps://doi.org/10.6084/m9.figshare.14880981openalex-snapshot
Additional file 4 of Genome-wide association studies identify 137 genetic loci for DNA methylation biomarkers of aging
inferred← citeshttps://doi.org/10.6084/m9.figshare.14880984openalex-snapshot
Additional file 5 of Genome-wide association studies identify 137 genetic loci for DNA methylation biomarkers of aging
inferred← citeshttps://doi.org/10.6084/m9.figshare.14880993openalex-snapshot
Additional file 6 of Genome-wide association studies identify 137 genetic loci for DNA methylation biomarkers of aging
inferred← citeshttps://doi.org/10.6084/m9.figshare.26593676openalex-snapshot
Additional file 1 of Modeling the longitudinal changes of ancestry diversity in the Million Veteran Program
inferred← citeshttps://doi.org/10.6084/m9.figshare.26593679openalex-snapshot
Additional file 2 of Modeling the longitudinal changes of ancestry diversity in the Million Veteran Program
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