Current methods for inferring population structure from genetic data do not provide formal significance tests for population differentiation. We discuss an approach to studying population structure (principal components analysis) that was first applied to genetic data by Cavalli-Sforza and colleagues. We place the method on a solid statistical footing, using results from modern statistics to…
PLOS Genetics Template
Write in a clean editor, then format for PLOS Genetics in one click — DocuGuru applies the official PLOS template with numbered references and exports a submission-ready PDF plus the editable LaTeX source. Free to start.
About the PLOS Genetics format
PLOS Genetics is a peer-reviewed journal published by PLOS, covering Genomics and Chromatin Dynamics, DNA Repair Mechanisms, RNA Research and Splicing. Over its lifetime it has published 11,777 papers, which have received 914,757 citations.
| Publisher | PLOS |
|---|---|
| Reference style | Numbered (Vancouver) Numbered — [1], [2] in the text 1. Smith A, Jones B, Lee C. A representative article title. PLOS Genetics. 2023;12(3):45–58.
Formats any DOI in PLOS Genetics style. No sign-up. |
| Publishes research in | Genomics and Chromatin Dynamics DNA Repair Mechanisms RNA Research and Splicing Genetics, Aging, and Longevity in Model Organisms Chromosomal and Genetic Variations |
| ISSN | 1553-7390 |
| Citation impact (2-yr) | 4.13 |
| h-index | 345 |
| i10-index | 9,460 |
| Article processing charge | $2,655 |
| Open access | Yes — indexed in DOAJ |
| Top institutions publishing here | Centre National de la Recherche Scientifique |
| Journal website | www.plosgenetics.org |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Papers published in PLOS Genetics per year
Citation impact of PLOS Genetics by publication year
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Most-cited papers in PLOS Genetics
Genetic association studies, in particular the genome-wide association study (GWAS) design, have provided a wealth of novel insights into the aetiology of a wide range of human diseases and traits, in particular cardiovascular diseases and lipid biomarkers. The next challenge consists of understanding the molecular basis of these associations. The integration of multiple association datasets,…
Genotype imputation methods are now being widely used in the analysis of genome-wide association studies. Most imputation analyses to date have used the HapMap as a reference dataset, but new reference panels (such as controls genotyped on multiple SNP chips and densely typed samples from the 1,000 Genomes Project) will soon allow a broader range…
Many aspects of the historical relationships between populations in a species are reflected in genetic data. Inferring these relationships from genetic data, however, remains a challenging task. In this paper, we present a statistical model for inferring the patterns of population splits and mixtures in multiple populations. In our model, the sampled populations in a…
Inference about the causal structure that induces correlations between two traits can be achieved by combining genetic associations with a mediation-based approach, as is done in the causal inference test (CIT). However, we show that measurement error in the phenotypes can lead to the CIT inferring the wrong causal direction, and that increasing sample sizes…