ArticleJournal of forensic sciences2010
Predicting phenotype from genotype: normal pigmentation.
Article in Journal of forensic sciences, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 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.
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Who cites it
38 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A Genome-Wide Association Study of Skin and Iris Pigmentation among Individuals of South Asian Ancestry.Genome biology and evolution · 2019Pooled it
- Evaluation of the Prediction Potential of the HIrisPlex-S System in a North German Population.Genes · 2026Article
- Functional polymorphisms in pigmentation-related genesBiochemistry and biophysics reports · 2026Article
- Forensic DNA phenotyping: a review on SNP panels, genotyping techniques, and prediction models.Forensic sciences research · 2025Review
- Exploring Eye, Hair, and Skin Pigmentation in a Spanish Population: Insights from Hirisplex-S Predictions.Genes · 2024Article
- Review
- Review
- Evaluation of Personalized Skincare Through in-silico Gene Interactive Networks and Cellular Responses to UVR and Oxidative Stress.Clinical, cosmetic and investigational dermatology · 2022Article
- Chemical and biochemical control of skin pigmentation with special emphasis on mixed melanogenesis.Pigment cell & melanoma research · 2021Review
- Article
- Transforming the study of organisms: Phenomic data models and knowledge bases.PLoS computational biology · 2020Review
- Skin pigmentation and genetic variants in an admixed Brazilian population of primarily European ancestry.International journal of legal medicine · 2020Article
- A study in scarlet: MC1R as the main predictor of red hair and exemplar of the flip-flop effect.Human molecular genetics · 2019Article
- Prediction of skin color, tanning and freckling from DNA in Polish population: linear regression, random forest and neural network approaches.Human genetics · 2019Article
- Reliability of genomic predictions of complex human phenotypes.BMC proceedings · 2018Article
- Article
- Global skin colour prediction from DNA.Human genetics · 2017Article
- Assessment of IrisPlex-based multiplex for eye and skin color prediction with application to a Portuguese population.International journal of legal medicine · 2015Article
- MC1R diversity in Northern Island Melanesia has not been constrained by strong purifying selection and cannot explain pigmentation phenotype variation in the region.BMC genetics · 2015Article
- Exploration of SNP variants affecting hair colour prediction in Europeans.International journal of legal medicine · 2015Article
Corrections and comments
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Authors and funding
15 authors.
Funding
Abstract
Genetic information in forensic studies is largely limited to CODIS data and the ability to match samples and assign them to an individual. However, there are circumstances, in which a given DNA sample does not match anyone in the CODIS database, and no other information about the donor is available. In this study, we determined 75 SNPs in 24 genes (previously implicated in human or animal pigmentation studies) for the analysis of single- and multi-locus associations with hair, skin, and eye color in 789 individuals of various ethnic backgrounds. Using multiple linear regression modeling, five SNPs in five genes were found to account for large proportions of pigmentation variation in hair, skin, and eyes in our across-population analyses. Thus, these models may be of predictive value to determine an individual's pigmentation type from a forensic sample, independent of ethnic origin.
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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.