ArticleAmerican journal of human genetics2007
PLINK: a tool set for whole-genome association and population-based linkage analyses.
Article in American journal of human genetics, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 6 registered trials, which are not on this map. Cited by 20,632 papers, 3 of them syntheses that pooled it.
What it found
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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.
Evaluation of the Predictive and Prognostic Value of Germ-line Polymorphisms in Patients With Metastatic Breast Cancer : a Multicenter Non-randomized Prospective Cohort Study
Genomic and Biomarker Predictors of Acute Kidney Injury and Other Post-Procedural Outcomes Following Transcatheter Aortic Valve Replacement
The Relation of Genetic Factors, Food Cues, and Self-Regulation With Excess Consumption and Adiposity in Children
Cardiac Arrhythmia Catheter Ablation Procedures Guided by x-Ray Imaging: N-Acetylcysteine Protection Against Radiation Induced Cellular damagE (CARAPACE Study)
The Electronic Medical Records and GEnomics (eMERGE) Network Genomic Risk Assessment
Hypertension in High School Students: Genetic and Environmental Factors
Who cites it
20,632 citing papers in PubMed, 3 syntheses or guidelines pooled it, 35,533 citations in OpenAlex.
- Contribution of copy number variants to schizophrenia in East Asian populations.Nature genetics · 2026Pooled it
- Interrogating DNA methylation associated with Lewy body pathology in a cross brain-region and multi-cohort study.Nature communications · 2026Pooled it
- GWAS meta-analysis provides new insights into uveal melanoma risk.British journal of cancer · 2026Pooled it
- Exploring sex differences in endocannabinoid system biomarkers and their relationship with antidepressant treatment outcomes in major depressive disorder: a CAN-BIND 1 secondary analysis.European archives of psychiatry and clinical neuroscience · 2026Trial
- The role of genetic variation in apolipoprotein response to diet among Brazilians with cardiovascular disease.European journal of clinical nutrition · 2026Trial
- 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
- Development and Application of Single Nucleotide Polymorphism (SNP) Markers for the Identification of Pest and Disease Resistance in Sugarcane.Methods in molecular biology (Clifton, N.J.) · 2027Article
- Germline Variation and Somatic Alterations in Ewing Sarcoma.Methods in molecular biology (Clifton, N.J.) · 2027Article
- Deciphering the interplay between serum urate and bone mineral density: insights from observational and genetic perspectives.Journal of the International Society of Sports Nutrition · 2026Article
- Feasibility and pitfalls of combining small subpopulations for genome-wide association analysis of maize (Zea mays L.) kernel traits.The plant genome · 2026Article
- Facial skin aging: an integrative analysis of genetics, epigenetics, and lifestyle factors.GeroScience · 2026Article
- Genomic characterization of pre-Green Revolution wheat landraces from the Nepalese and Bhutanese Himalayas reveals geographically structured diversity.The plant genome · 2026Article
- Palaeoproteomic and genetic insights into millennial-scale dairy consumption in Armenia.iScience · 2026Article
- What modern genomes overlook: Ancient DNA rewrites the phylogeography of European atlantic salmon (iScience · 2026Article
- The clinical utility of exome sequencing for risk stratification in celiac disease.Journal of human immunity · 2026Article
- Disentangling direct and indirect genetic pathways to neurodevelopmental risk: brain structure and behavior in a population-based parent-offspring trio study.Journal of child psychology and psychiatry, and allied disciplines · 2026Article
- Phenotypic Differentiation Between Highland and Coastal Quinoa Under Cold Stress Conditions.Plant, cell & environment · 2026Article
- Identification of hub genes involved in early-onset schizophrenia: from genetic susceptibility to predicted regulated gene expression.Molecular psychiatry · 2026Article
- Association of Polygenic Risk Score for Suicidal Behavior With Ventral Prefrontal Morphology in Bipolar Disorder.Bipolar disorders · 2026Article
- Cross-ancestry pleiotropic analysis of imaging-derived phenotypes enhances risk stratification of depression.Molecular psychiatry · 2026Article
20,572 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
11 authors at 7 institutions in 3 countries.
Funding
Abstract
Whole-genome association studies (WGAS) bring new computational, as well as analytic, challenges to researchers. Many existing genetic-analysis tools are not designed to handle such large data sets in a convenient manner and do not necessarily exploit the new opportunities that whole-genome data bring. To address these issues, we developed PLINK, an open-source C/C++ WGAS tool set. With PLINK, large data sets comprising hundreds of thousands of markers genotyped for thousands of individuals can be rapidly manipulated and analyzed in their entirety. As well as providing tools to make the basic analytic steps computationally efficient, PLINK also supports some novel approaches to whole-genome data that take advantage of whole-genome coverage. We introduce PLINK and describe the five main domains of function: data management, summary statistics, population stratification, association analysis, and identity-by-descent estimation. In particular, we focus on the estimation and use of identity-by-state and identity-by-descent information in the context of population-based whole-genome studies. This information can be used to detect and correct for population stratification and to identify extended chromosomal segments that are shared identical by descent between very distantly related individuals. Analysis of the patterns of segmental sharing has the potential to map disease loci that contain multiple rare variants in a population-based linkage analysis.
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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.