ArticleInternational journal of methods in psychiatric research2018
A tutorial on conducting genome-wide association studies: Quality control and statistical analysis.
Article in International journal of methods in psychiatric research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 448 papers, 2 of them syntheses that pooled it.
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Who cites it
448 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Genome-wide association meta-analysis of age at onset of walking in over 70,000 infants of European ancestry.Nature human behaviour · 2025Pooled it
- Genome-wide meta-analysis identifies ancestry-specific loci for Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024Pooled it
- Platelet count polygenic scores may modify the effect of aspirin in primary prevention of dementia.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026Trial
- AI-based multimodal integration of genomics and electronic health records.Nature reviews. Genetics · 2026Review
- Polygenic risk score for early identification of coronary artery disease in a real-world clinical setting within the Latvian patient population.American heart journal plus : cardiology research and practice · 2026Article
- Age at Diagnosis and Clinical and Genetic Profiles Among Adults With Attention-Deficit/Hyperactivity Disorder.JAMA network open · 2026Article
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- Aquaporin 3 Promoter Polymorphisms Reduce Gene Expression and Associate Altered Autophagy-Related Gene Signatures With Atopic Dermatitis Susceptibility.Experimental dermatology · 2026Article
- Modeling nonlinear and interaction effects of spatiotemporal and nongenetic factors improves prediction for complex traits.Nature communications · 2026Article
- Genome-Wide Association of Genetic Variants with Intestinal Cholesterol Absorption Markers in a European Population.Nutrients · 2026Article
- Triglyceride Polygenic Score Identifies Individuals Who May Respond Differently to Aspirin in Primary Prevention.Clinical pharmacology and therapeutics · 2026Article
- Multitrait analysis of genome-wide association studies expands eosinophilic esophagitis genetic susceptibility and polygenic risk scores.The Journal of allergy and clinical immunology · 2026Article
- Article
- Integrating multi-model GWAS prior information enhances genomic prediction of cold tolerance traits in Populus simonii.BMC plant biology · 2026Article
- Machine learning-based model for prediction of carbamazepine- and allopurinol-induced severe cutaneous adverse reactions in Vietnamese.The World Allergy Organization journal · 2026Article
- Genetically Informed Research Designs in Perinatal Pharmacoepidemiology: A Methodological Overview.Drug safety · 2026Review
- A comprehensive overview of the biological foundations of ADHD.Bioscience reports · 2026Review
- Germline regulation of tumor evolutionary dynamics shapes multiple myeloma progression.bioRxiv : the preprint server for biology · 2026Article
- Gsformer: a dual-architecture deep learning framework with CNN-self-attention and sparse-attention for genomic selection.Genetics, selection, evolution : GSE · 2026Article
- GWAS from a multicenter prospective study of radium-223 in bone-metastatic castration-resistant prostate cancer.EJNMMI research · 2026Article
388 more citing papers are in PubMed but not listed here.
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesGenome-wide association studies (GWAS) have become increasingly popular to identify associations between single nucleotide polymorphisms (SNPs) and phenotypic traits. The GWAS method is commonly applied within the social sciences. However, statistical analyses will need to be carefully conducted and the use of dedicated genetics software will be required. This tutorial aims to provide a guideline for conducting genetic analyses.
methodsWe discuss and explain key concepts and illustrate how to conduct GWAS using example scripts provided through GitHub (https://github.com/MareesAT/GWA_tutorial/). In addition to the illustration of standard GWAS, we will also show how to apply polygenic risk score (PRS) analysis. PRS does not aim to identify individual SNPs but aggregates information from SNPs across the genome in order to provide individual-level scores of genetic risk.
resultsThe simulated data and scripts that will be illustrated in the current tutorial provide hands-on practice with genetic analyses. The scripts are based on PLINK, PRSice, and R, which are commonly used, freely available software tools that are accessible for novice users.
conclusionsBy providing theoretical background and hands-on experience, we aim to make GWAS more accessible to researchers without formal training in the field.
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