ArticleGenetics2017
Inference on the Genetic Basis of Eye and Skin Color in an Admixed Population via Bayesian Linear Mixed Models.
Article in Genetics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
23 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Meta-analysis of GWA studies provides new insights on the genetic architecture of skin pigmentation in recently admixed populations.BMC genetics · 2019Pooled it
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- Clinical and genetic associations of deep learning-derived cardiac magnetic resonance-based left ventricular mass.Nature communications · 2023Article
- Identification of Polymorphisms in theThe journal of poultry science · 2023Article
- Conditional GWAS of non-CG transposon methylation in Arabidopsis thaliana reveals major polymorphisms in five genes.PLoS genetics · 2022Article
- Parsimonious model for mass-univariate vertexwise analysis.Journal of medical imaging (Bellingham, Wash.) · 2022Article
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- Genetic Connections and Convergent Evolution of Tropical Indigenous Peoples in Asia.Molecular biology and evolution · 2022Article
- Interpretable artificial neural networks incorporating Bayesian alphabet models for genome-wide prediction and association studies.G3 (Bethesda, Md.) · 2021Article
- Prediction of eye and hair pigmentation phenotypes using the HIrisPlex system in a Brazilian admixed population sample.International journal of legal medicine · 2021Article
- Evolutionary genetics of skin pigmentation in African populations.Human molecular genetics · 2021Review
- A Multiple-Trait Bayesian Variable Selection Regression Method for Integrating Phenotypic Causal Networks in Genome-Wide Association Studies.G3 (Bethesda, Md.) · 2020Article
- Genome-wide Analyses Identifies Known and New Markers Responsible of Chicken Plumage Color.Animals : an open access journal from MDPI · 2020Article
- The Evolutionary History of Human Skin Pigmentation.Journal of molecular evolution · 2020Review
- Improved polygenic prediction by Bayesian multiple regression on summary statistics.Nature communications · 2019Article
- A curated gene list for expanding the horizons of pigmentation biology.Pigment cell & melanoma research · 2019Review
- A GWAS in Latin Americans highlights the convergent evolution of lighter skin pigmentation in Eurasia.Nature communications · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
Genetic association studies in admixed populations are underrepresented in the genomics literature, with a key concern for researchers being the adequate control of spurious associations due to population structure. Linear mixed models (LMMs) are well suited for genome-wide association studies (GWAS) because they account for both population stratification and cryptic relatedness and achieve increased statistical power by jointly modeling all genotyped markers. Additionally, Bayesian LMMs allow for more flexible assumptions about the underlying distribution of genetic effects, and can concurrently estimate the proportion of phenotypic variance explained by genetic markers. Using three recently published Bayesian LMMs, Bayes R, BSLMM, and BOLT-LMM, we investigate an existing data set on eye (
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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.