ArticleTheoretical population biology2013
Separation of the largest eigenvalues in eigenanalysis of genotype data from discrete subpopulations.
Article in Theoretical population biology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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.
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Who cites it
11 citing papers in PubMed.
- Discovering Loci for Breeding Prospective and Phenology in Wheat Mediterranean Landraces by Environmental and eigenGWAS.International journal of molecular sciences · 2023Article
- A spectral theory for Wright's inbreeding coefficients and related quantities.PLoS genetics · 2021Article
- Labelling Selective Sweeps Used in Durum Wheat Breeding from a Diverse and Structured Panel of Landraces and Cultivars.Biology · 2021Article
- Network-based hierarchical population structure analysis for large genomic data sets.Genome research · 2019Article
- Detecting Adaptive Differentiation in Structured Populations with Genomic Data and Common Gardens.Genetics · 2019Article
- Genomic analysis reveals genes affecting distinct phenotypes among different Chinese and western pig breeds.Scientific reports · 2018Article
- A Genomic Reference Panel forG3 (Bethesda, Md.) · 2018Article
- Article
- Human ancestry correlates with language and reveals that race is not an objective genomic classifier.Scientific reports · 2017Article
- EigenGWAS: finding loci under selection through genome-wide association studies of eigenvectors in structured populations.Heredity · 2016Article
- Limitations of GCTA as a solution to the missing heritability problem.Proceedings of the National Academy of Sciences of the United States of America · 2016Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
We present a mathematical model, and the corresponding mathematical analysis, that justifies and quantifies the use of principal component analysis of biallelic genetic marker data for a set of individuals to detect the number of subpopulations represented in the data. We indicate that the power of the technique relies more on the number of individuals genotyped than on the number of markers.
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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.