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Bukayev A, Gorin I, Aidarov B, Darmenov A, Balanovska E, Zhabagin M. Predictive accuracy of genetic variants for eye color in a Kazakh population using the IrisPlex system. BMC Res Notes 2024; 17:187. [PMID: 38970104 PMCID: PMC11227171 DOI: 10.1186/s13104-024-06856-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2024] [Accepted: 07/02/2024] [Indexed: 07/07/2024] Open
Abstract
OBJECTIVE This study assesses the accuracy of the IrisPlex system, a genetic eye color prediction tool for forensic analysis, in the Kazakh population. The study compares previously published genotypes of 515 Kazakh individuals from varied geographical and ethnohistorical contexts with phenotypic data on their eye color, introduced for the first time in this research. RESULTS The IrisPlex panel's effectiveness in predicting eye color in the Kazakh population was validated. It exhibited slightly lower accuracy than in Western European populations but was higher than in Siberian populations. The sensitivity was notably high for brown-eyed individuals (0.99), but further research is needed for blue and intermediate eye colors. This study establishes IrisPlex as a useful predictive tool in the Kazakh population and provides a basis for future investigations into the genetic basis of phenotypic variations in this diverse population.
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Affiliation(s)
- Alizhan Bukayev
- National Center for Biotechnology, Astana, 010000, Kazakhstan
| | - Igor Gorin
- Research Centre for Medical Genetics, Moscow, 115522, Russia
| | - Baglan Aidarov
- National Center for Biotechnology, Astana, 010000, Kazakhstan
| | - Akynkali Darmenov
- Karaganda Academy of the Ministry of Internal Affairs of the Republic of Kazakhstan named after Barimbek Beisenov, Karaganda, 100000, Kazakhstan
| | | | - Maxat Zhabagin
- National Center for Biotechnology, Astana, 010000, Kazakhstan.
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2
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Brancato D, Coniglio E, Bruno F, Agostini V, Saccone S, Federico C. Forensic DNA Phenotyping: Genes and Genetic Variants for Eye Color Prediction. Genes (Basel) 2023; 14:1604. [PMID: 37628655 PMCID: PMC10454093 DOI: 10.3390/genes14081604] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2023] [Revised: 07/31/2023] [Accepted: 08/08/2023] [Indexed: 08/27/2023] Open
Abstract
In recent decades, the use of genetic polymorphisms related to specific phenotypes, such as eye color, has greatly contributed to the development of the research field called forensic DNA phenotyping (FDP), enabling the investigators of crime cases to reduce the number of suspects, making their work faster and more precise. Eye color is a polygenic phenotype, and many genetic variants have been highlighted, with the major contributor being the HERC2-OCA2 locus, where many single nucleotide variations (SNPs) were identified. Interestingly, the HERC2-OCA2 locus, containing the intronic SNP rs12913832, the major eye color determinant, shows a high level of evolutionary conservation across many species of vertebrates. Currently, there are some genetic panels to predict eye color by genomic DNA analysis, even if the exact role of the SNP variants in the formation of eye color is still poorly understood, with a low level of predictivity in the so-called intermediate eye color. Many variants in OCA2, HERC2, and other genes lie in introns or correspond to synonymous variants, highlighting greater complexity in the mechanism of action of such genes than a simple missense variation. Here, we show the main genes involved in oculocutaneous pigmentation and their structural and functional features, as well as which genetic variants show the highest level of eye color predictivity in currently used FDP assays. Despite the great recent advances and impact of FDP in criminal cases, it is necessary to enhance scientific research to better understand the mechanism of action behind each genetic variant involved in eye color, with the goal of obtaining higher levels of prediction.
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Affiliation(s)
- Desiree Brancato
- Department Biological, Geological, Environmental Sciences, University of Catania, Via Androne 81, 95124 Catania, Italy; (D.B.); (E.C.); (F.B.); (C.F.)
| | - Elvira Coniglio
- Department Biological, Geological, Environmental Sciences, University of Catania, Via Androne 81, 95124 Catania, Italy; (D.B.); (E.C.); (F.B.); (C.F.)
| | - Francesca Bruno
- Department Biological, Geological, Environmental Sciences, University of Catania, Via Androne 81, 95124 Catania, Italy; (D.B.); (E.C.); (F.B.); (C.F.)
| | - Vincenzo Agostini
- Department Science and Technical Innovation, University of Eastern Piedmont, Viale Teresa Michel 11, 15121 Alessandria, Italy;
| | - Salvatore Saccone
- Department Biological, Geological, Environmental Sciences, University of Catania, Via Androne 81, 95124 Catania, Italy; (D.B.); (E.C.); (F.B.); (C.F.)
| | - Concetta Federico
- Department Biological, Geological, Environmental Sciences, University of Catania, Via Androne 81, 95124 Catania, Italy; (D.B.); (E.C.); (F.B.); (C.F.)
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Wu CLS, Cioanca AV, Gelmi MC, Wen L, Di Girolamo N, Zhu L, Natoli R, Conway RM, Petsoglou C, Jager MJ, McCluskey PJ, Madigan MC. The multifunctional human ocular melanocortin system. Prog Retin Eye Res 2023; 95:101187. [PMID: 37217094 DOI: 10.1016/j.preteyeres.2023.101187] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2023] [Revised: 05/12/2023] [Accepted: 05/12/2023] [Indexed: 05/24/2023]
Abstract
Immune privilege in the eye involves physical barriers, immune regulation and secreted proteins that together limit the damaging effects of intraocular immune responses and inflammation. The neuropeptide alpha-melanocyte stimulating hormone (α-MSH) normally circulates in the aqueous humour of the anterior chamber and the vitreous fluid, secreted by iris and ciliary epithelium, and retinal pigment epithelium (RPE). α-MSH plays an important role in maintaining ocular immune privilege by helping the development of suppressor immune cells and by activating regulatory T-cells. α-MSH functions by binding to and activating melanocortin receptors (MC1R to MC5R) and receptor accessory proteins (MRAPs) that work in concert with antagonists, otherwise known as the melanocortin system. As well as controlling immune responses and inflammation, a broad range of biological functions is increasingly recognised to be orchestrated by the melanocortin system within ocular tissues. This includes maintaining corneal transparency and immune privilege by limiting corneal (lymph)angiogenesis, sustaining corneal epithelial integrity, protecting corneal endothelium and potentially enhancing corneal graft survival, regulating aqueous tear secretion with implications for dry eye disease, facilitating retinal homeostasis via maintaining blood-retinal barriers, providing neuroprotection in the retina, and controlling abnormal new vessel growth in the choroid and retina. The role of melanocortin signalling in uveal melanocyte melanogenesis however remains unclear compared to its established role in skin melanogenesis. The early application of a melanocortin agonist to downregulate systemic inflammation used adrenocorticotropic hormone (ACTH)-based repository cortisone injection (RCI), but adverse side effects including hypertension, edema, and weight gain, related to increased adrenal gland corticosteroid production, impacted clinical uptake. Compared to ACTH, melanocortin peptides that target MC1R, MC3R, MC4R and/or MC5R, but not adrenal gland MC2R, induce minimal corticosteroid production with fewer amdverse systemic effects. Pharmacological advances in synthesising MCR-specific targeted peptides provide further opportunities for treating ocular (and systemic) inflammatory diseases. Following from these observations and a renewed clinical and pharmacological interest in the diverse biological roles of the melanocortin system, this review highlights the physiological and disease-related involvement of this system within human eye tissues. We also review the emerging benefits and versatility of melanocortin receptor targeted peptides as non-steroidal alternatives for inflammatory eye diseases such as non-infectious uveitis and dry eye disease, and translational applications in promoting ocular homeostasis, for example, in corneal transplantation and diabetic retinopathy.
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Affiliation(s)
- Chieh-Lin Stanley Wu
- School of Optometry and Vision Science, Faculty of Medicine and Health, University of New South Wales, Sydney, Australia; Save Sight Institute and Ophthalmology, The Faculty of Medicine and Health, The University of Sydney, Sydney, Australia; Department of Optometry, Asia University, Taichung, Taiwan
| | - Adrian V Cioanca
- Save Sight Institute and Ophthalmology, The Faculty of Medicine and Health, The University of Sydney, Sydney, Australia; John Curtin School of Medical Research, The Australian National University, ACT, Australia; ANU Medical School, The Australian National University, ACT, Australia
| | - Maria C Gelmi
- Department of Ophthalmology, Leiden University Medical Centre, Leiden, the Netherlands
| | - Li Wen
- New South Wales Organ and Tissue Donation Service, Sydney Hospital and Sydney Eye Hospital, NSW, 2000, Australia
| | - Nick Di Girolamo
- School of Biomedical Sciences, Mechanisms of Disease and Translational Research, University of New South Wales, Sydney, Australia
| | - Ling Zhu
- Save Sight Institute and Ophthalmology, The Faculty of Medicine and Health, The University of Sydney, Sydney, Australia
| | - Riccardo Natoli
- Save Sight Institute and Ophthalmology, The Faculty of Medicine and Health, The University of Sydney, Sydney, Australia; John Curtin School of Medical Research, The Australian National University, ACT, Australia; ANU Medical School, The Australian National University, ACT, Australia
| | - R Max Conway
- Save Sight Institute and Ophthalmology, The Faculty of Medicine and Health, The University of Sydney, Sydney, Australia
| | - Constantinos Petsoglou
- Save Sight Institute and Ophthalmology, The Faculty of Medicine and Health, The University of Sydney, Sydney, Australia; New South Wales Organ and Tissue Donation Service, Sydney Hospital and Sydney Eye Hospital, NSW, 2000, Australia
| | - Martine J Jager
- Department of Ophthalmology, Leiden University Medical Centre, Leiden, the Netherlands
| | - Peter J McCluskey
- Save Sight Institute and Ophthalmology, The Faculty of Medicine and Health, The University of Sydney, Sydney, Australia
| | - Michele C Madigan
- School of Optometry and Vision Science, Faculty of Medicine and Health, University of New South Wales, Sydney, Australia; Save Sight Institute and Ophthalmology, The Faculty of Medicine and Health, The University of Sydney, Sydney, Australia.
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Rahat MA, Akbar F, Rasool A, Ilyas M, Rakha A, Shams S, Jelani M, Bibi F, Shirah BH, Abdulkareem AA, Naseer MI, Israr M. Phenotypic Classification of Eye Colour and Developmental Validation of the Irisplex System on Population Living in Malakand Division, Pakistan. Biomedicines 2023; 11:biomedicines11041228. [PMID: 37189847 DOI: 10.3390/biomedicines11041228] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2023] [Revised: 04/13/2023] [Accepted: 04/17/2023] [Indexed: 05/17/2023] Open
Abstract
The core objective of forensic DNA typing is developing DNA profiles from biological evidence for personal identification. The present study was designed to check the validation of the IrisPlex system and the Prevalence of eye colour in the Pakhtoon population residing within the Malakand Division. METHODS Eye colour digital photographs and buccal swab samples of 893 individuals of different age groups were collected. Multiplexed SNaPshot single base extension chemistry was used, and the genotypic results were analysed. Snapshot data were used for eye colour prediction through the IrisPlex and FROG-kb tool. RESULTS The results of the present study found brown eye colour to be the most prevalent eye colour in comparison to intermediate and blue coloured. Overall, individuals with brown-coloured eyes possess CT (46.84%) and TT (53.16%) genotypes. Blue eye-coloured individuals are solely of the CC genotype, while individuals of intermediate eye colour carry CT (45.15%) and CC (53.85%) genotypes in rs12913832 SNP in the HERC2 gene. It was also revealed that brown-coloured eyes individuals were dominant among all age groups followed by intermediate and blue. Statistical analysis between particular variables and eye colour showed a significant p-value (<0.05) for rs16891982 SNP in SLC45A2 gene, rs12913832 SNP in HERC2 gene, rs1393350 SNP in SLC45A2, districts and gender. The rest of the SNPs were non-significant with eye colour, respectively. The rs12896399 SNP and SNP rs1800407 were found significant with rs16891982 SNP. The result also demonstrated that the study group differs from the world population based on eye colour. The two eye colour prediction results were compared, and it was discovered that IrisPlex and FROG-Kb had similar higher prediction ratios for Brown and Blue eye colour. CONCLUSIONS The results of the current study revealed brown eye colour to be the most prevalent amongst members of the local population of Pakhtoon ethnicity in the Malakand Division of northern Pakistan. A set of contemporary human DNA samples with known phenotypes are used in this research to evaluate the custom panel's prediction accuracy. With the aid of this forensic test, DNA typing can be supplemented with details about the appearance of the person from whom the sample was taken in cases involving missing persons, ancient human remains, and trace samples. This study may be helpful for future population genetics and forensics studies.
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Affiliation(s)
- Murad Ali Rahat
- Centre for Biotechnology and Microbiology, University of Swat, Charbagh 19120, Pakistan
- Department of Forensic Sciences, University of Swat, Charbagh 19120, Pakistan
| | - Fazal Akbar
- Centre for Biotechnology and Microbiology, University of Swat, Charbagh 19120, Pakistan
| | - Akhtar Rasool
- Centre for Biotechnology and Microbiology, University of Swat, Charbagh 19120, Pakistan
| | - Muhammad Ilyas
- Centre for Omic Sciences, Islamia College University Peshawar, Peshawar 25120, Pakistan
| | - Allah Rakha
- Department of Forensic Sciences, University of Health Sciences, Lahore 54600, Pakistan
| | - Sulaiman Shams
- Department of Biochemistry, Abdul Wali Khan University Mardan, Mardan 23200, Pakistan
| | - Musharraf Jelani
- Centre for Omic Sciences, Islamia College University Peshawar, Peshawar 25120, Pakistan
| | - Fehmida Bibi
- Special Infectious Agents Unit, King Fahd Medical Research Centre, King Abdulaziz University, Jeddah 21589, Saudi Arabia
- Department of Medical Laboratory Technology, Faculty of Applied Medical Sciences, King Abdulaziz University, Jeddah 21589, Saudi Arabia
| | - Bader H Shirah
- Department of Neuroscience, King Faisal Specialist Hospital & Research Centre, Jeddah 21589, Saudi Arabia
| | - Angham Abdulrhman Abdulkareem
- Faculty of Science, Department of Biochemistry, King Abdulaziz University, Jeddah 21589, Saudi Arabia
- Center of Excellence in Genomic Medicine Research, King Abdulaziz University, Jeddah 21589, Saudi Arabia
| | - Muhammad Imran Naseer
- Department of Medical Laboratory Technology, Faculty of Applied Medical Sciences, King Abdulaziz University, Jeddah 21589, Saudi Arabia
- Center of Excellence in Genomic Medicine Research, King Abdulaziz University, Jeddah 21589, Saudi Arabia
| | - Muhammad Israr
- Department of Forensic Sciences, University of Swat, Charbagh 19120, Pakistan
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Association between Variants in the OCA2-HERC2 Region and Blue Eye Colour in HERC2 rs12913832 AA and AG Individuals. Genes (Basel) 2023; 14:genes14030698. [PMID: 36980970 PMCID: PMC10048254 DOI: 10.3390/genes14030698] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2023] [Revised: 03/01/2023] [Accepted: 03/09/2023] [Indexed: 03/14/2023] Open
Abstract
The OCA2-HERC2 region is strongly associated with human pigmentation, especially eye colour. The HERC2 SNP rs12913832 is currently the best-known predictor for blue and brown eye colour. However, in a previous study we found that 43 of 166 Norwegians with the brown eye colour genotype rs12913832:AA or AG, did not have the expected brown eye colour. In this study, we carried out massively parallel sequencing of a ~500 kbp HERC2-OCA2 region in 94 rs12913832:AA and AG Norwegians (43 blue-eyed and 51 brown-eyed) to search for novel blue eye colour variants. The new candidate variants were subsequently typed in a Norwegian biobank population (total n = 519) for population specific association analysis. We identified five new variants, rs74409036:A, rs78544415:T, rs72714116:T, rs191109490:C and rs551217952:C, to be the most promising candidates for explaining blue eye colour in individuals with the rs12913832:AA and AG genotype. Additionally, we confirmed the association of the missense variants rs74653330:T and rs121918166:T with blue eye colour, and observed lighter skin colour in rs74653330:T individuals. In total, 37 (86%) of the 43 blue-eyed rs12913832:AA and AG Norwegians could potentially be explained by these seven variants, and we suggest including them in future prediction models.
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Stenger P, Ky C, Vidal‐Dupiol J, Planes S, Reisser C. Identifying genes associated with genetic control of color polymorphism in the pearl oyster Pinctada margaritifera var. cumingii (Linnaeus 1758) using a comparative whole genome pool-sequencing approach. Evol Appl 2023; 16:408-427. [PMID: 36793698 PMCID: PMC9923487 DOI: 10.1111/eva.13464] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2021] [Accepted: 07/22/2022] [Indexed: 11/29/2022] Open
Abstract
For hundreds of years, the color diversity of Mollusca shells has been a topic of interest for humanity. However, the genetic control underlying color expression is still poorly understood in mollusks. The pearl oyster Pinctada margaritifera is increasingly becoming a biological model to study this process due to its ability to produce a large range of colors. Previous breeding experiments demonstrated that color phenotypes were partly under genetic control, and while a few genes were found in comparative transcriptomics and epigenetic experiments, genetic variants associated with the phenotypes have not yet been investigated. Here, we used a pooled-sequencing approach on 172 individuals to investigate color-associated variants on three color phenotypes of economic interest for pearl farming, in three wild and one hatchery populations. While our results uncovered SNPs targeting pigment-related genes already identified in previous studies, such as PBGD, tyrosinases, GST, or FECH, we also identified new color-related genes occurring in the same pathways, like CYP4F8, CYP3A4, and CYP2R1. Moreover, we identified new genes involved in novel pathways unknown to be involved in shell coloration for P. margaritifera, like the carotenoid pathway, BCO1. These findings are essential to possibly implement future breeding programs focused on individual selection for specific color production in pearl oysters and improve the footprint of perliculture on the Polynesian lagoon by producing less but with a better quality.
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Affiliation(s)
| | - Chin‐Long Ky
- Ifremer, IRD, Institut Louis‐MalardéUniv Polynésie française, EIOVairaoFrance
- IHPE, Univ. Montpellier, CNRS, Ifremer, Univ. Perpignan Via DomitiaMontpellierFrance
| | - Jeremie Vidal‐Dupiol
- IHPE, Univ. Montpellier, CNRS, Ifremer, Univ. Perpignan Via DomitiaMontpellierFrance
| | - Serge Planes
- PSL Research University, EPHE‐UPVD‐CNRS, USR 3278 CRIOBE, Labex Corail, Université de PerpignanPerpignan CedexFrance
| | - Céline Reisser
- Ifremer, IRD, Institut Louis‐MalardéUniv Polynésie française, EIOVairaoFrance
- MARBEC, Univ Montpellier, CNRS, IFREMER, IRDMontpellierFrance
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Advancement in Human Face Prediction Using DNA. Genes (Basel) 2023; 14:genes14010136. [PMID: 36672878 PMCID: PMC9858985 DOI: 10.3390/genes14010136] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2022] [Revised: 12/15/2022] [Accepted: 12/21/2022] [Indexed: 01/05/2023] Open
Abstract
The rapid improvements in identifying the genetic factors contributing to facial morphology have enabled the early identification of craniofacial syndromes. Similarly, this technology can be vital in forensic cases involving human identification from biological traces or human remains, especially when reference samples are not available in the deoxyribose nucleic acid (DNA) database. This review summarizes the currently used methods for predicting human phenotypes such as age, ancestry, pigmentation, and facial features based on genetic variations. To identify the facial features affected by DNA, various two-dimensional (2D)- and three-dimensional (3D)-scanning techniques and analysis tools are reviewed. A comparison between the scanning technologies is also presented in this review. Face-landmarking techniques and face-phenotyping algorithms are discussed in chronological order. Then, the latest approaches in genetic to 3D face shape analysis are emphasized. A systematic review of the current markers that passed the threshold of a genome-wide association (GWAS) of single nucleotide polymorphism (SNP)-face traits from the GWAS Catalog is also provided using the preferred reporting items for systematic reviews and meta-analyses (PRISMA), approach. Finally, the current challenges in forensic DNA phenotyping are analyzed and discussed.
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Paparazzo E, Gozalishvili A, Lagani V, Geracitano S, Bauleo A, Falcone E, Passarino G, Montesanto A. A new approach to broaden the range of eye colour identifiable by IrisPlex in DNA phenotyping. Sci Rep 2022; 12:12803. [PMID: 35896692 PMCID: PMC9329466 DOI: 10.1038/s41598-022-17208-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2022] [Accepted: 07/21/2022] [Indexed: 11/24/2022] Open
Abstract
IrisPlex system represents the most popular model for eye colour prediction. Based on six polymorphisms this model provides very accurate predictions that strongly depend on the definition of eye colour phenotypes. The aim of the present study was to introduce a new approach to improve eye colour prediction using the well-validated IrisPlex system. A sample of 238 individuals from a Southern Italian population was collected and for each of them a high-resolution image of eye was obtained. By quantifying eye colour variation into CIELAB space several clustering algorithms were applied for eye colour classification. Predictions with the IrisPlex model were obtained using eye colour categories defined by both visual inspection and clustering algorithms. IrisPlex system predicted blue and brown eye colour with high accuracy while it was inefficient in the prediction of intermediate eye colour. Clustering-based eye colour resulted in a significantly increased accuracy of the model especially for brown eyes. Our results confirm the validity of the IrisPlex system for forensic purposes. Although the quantitative approach here proposed for eye colour definition slightly improves its prediction accuracy, further research is still required to improve the model particularly for the intermediate eye colour prediction.
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Affiliation(s)
- Ersilia Paparazzo
- Department of Biology, Ecology and Earth Sciences, University of Calabria, 87036, Rende, Italy
| | - Anzor Gozalishvili
- Toptal, LLC, 2810 N. Church St. #36879, Wilmington, DE, 19802-4447, USA.,Ivane Javakhishvili Tbilisi State University, 0162, Tbilisi, Georgia
| | - Vincenzo Lagani
- Institute of Chemical Biology, Ilia State University, 0162, Tbilisi, Georgia.,Biological and Environmental Sciences and Engineering Division (BESE), King Abdullah University of Science and Technology KAUST, Thuwal, 23952, Saudi Arabia
| | - Silvana Geracitano
- Department of Biology, Ecology and Earth Sciences, University of Calabria, 87036, Rende, Italy
| | - Alessia Bauleo
- BIOGENET, Medical and Forensic Genetics Laboratory, 87100, Cosenza, ASP, Italy
| | - Elena Falcone
- BIOGENET, Medical and Forensic Genetics Laboratory, 87100, Cosenza, ASP, Italy
| | - Giuseppe Passarino
- Department of Biology, Ecology and Earth Sciences, University of Calabria, 87036, Rende, Italy
| | - Alberto Montesanto
- Department of Biology, Ecology and Earth Sciences, University of Calabria, 87036, Rende, Italy.
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Dabas P, Jain S, Khajuria H, Nayak BP. Forensic DNA phenotyping: Inferring phenotypic traits from crime scene DNA. J Forensic Leg Med 2022; 88:102351. [DOI: 10.1016/j.jflm.2022.102351] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2021] [Revised: 03/01/2022] [Accepted: 04/04/2022] [Indexed: 10/18/2022]
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10
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Pośpiech E, Teisseyre P, Mielniczuk J, Branicki W. Predicting Physical Appearance from DNA Data-Towards Genomic Solutions. Genes (Basel) 2022; 13:genes13010121. [PMID: 35052461 PMCID: PMC8774670 DOI: 10.3390/genes13010121] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2021] [Revised: 01/03/2022] [Accepted: 01/04/2022] [Indexed: 02/04/2023] Open
Abstract
The idea of forensic DNA intelligence is to extract from genomic data any information that can help guide the investigation. The clues to the externally visible phenotype are of particular practical importance. The high heritability of the physical phenotype suggests that genetic data can be easily predicted, but this has only become possible with less polygenic traits. The forensic community has developed DNA-based predictive tools by employing a limited number of the most important markers analysed with targeted massive parallel sequencing. The complexity of the genetics of many other appearance phenotypes requires big data coupled with sophisticated machine learning methods to develop accurate genomic predictors. A significant challenge in developing universal genomic predictive methods will be the collection of sufficiently large data sets. These should be created using whole-genome sequencing technology to enable the identification of rare DNA variants implicated in phenotype determination. It is worth noting that the correctness of the forensic sketch generated from the DNA data depends on the inclusion of an age factor. This, however, can be predicted by analysing epigenetic data. An important limitation preventing whole-genome approaches from being commonly used in forensics is the slow progress in the development and implementation of high-throughput, low DNA input sequencing technologies. The example of palaeoanthropology suggests that such methods may possibly be developed in forensics.
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Affiliation(s)
- Ewelina Pośpiech
- Malopolska Centre of Biotechnology, Jagiellonian University, 30-387 Kraków, Poland;
| | - Paweł Teisseyre
- Institute of Computer Science, Polish Academy of Sciences, 01-248 Warsaw, Poland; (P.T.); (J.M.)
- Faculty of Mathematics and Information Science, Warsaw University of Technology, 00-662 Warsaw, Poland
| | - Jan Mielniczuk
- Institute of Computer Science, Polish Academy of Sciences, 01-248 Warsaw, Poland; (P.T.); (J.M.)
- Faculty of Mathematics and Information Science, Warsaw University of Technology, 00-662 Warsaw, Poland
| | - Wojciech Branicki
- Malopolska Centre of Biotechnology, Jagiellonian University, 30-387 Kraków, Poland;
- Central Forensic Laboratory of the Police, 00-583 Warsaw, Poland
- Correspondence: ; Tel.: +48-126-645-024
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Predicting eye and hair colour in a Norwegian population using Verogen's ForenSeq™ DNA signature prep kit. Forensic Sci Int Genet 2021; 56:102620. [PMID: 34735941 DOI: 10.1016/j.fsigen.2021.102620] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2021] [Revised: 09/24/2021] [Accepted: 10/21/2021] [Indexed: 01/01/2023]
Abstract
Prediction of eye and hair colour from DNA can be an important investigative tool in forensic cases if conventional DNA profiling fails to match DNA from any known suspects or cannot obtain a hit in a DNA database. The HIrisPlex model for simultaneous eye and hair colour predictions was developed for forensic usage. To genotype a DNA sample, massively parallel sequencing (MPS) has brought new possibilities to the analysis of forensic DNA samples. As part of an in-house validation, this study presents the genotyping and predictive performance of the HIrisPlex SNPs in a Norwegian study population, using Verogen's ForenSeq™ DNA Signature Prep Kit on the MiSeq FGx system and the HIrisPlex webtool. DNA-profiles were successfully typed with DNA input down to 125 pg. In samples with DNA input < 125 pg, false homozygotes were observed with as many as 92 reads. Prediction accuracies in terms of AUC were high for red (0.97) and black (0.93) hair colours, as well as blue (0.85) and brown (0.94) eye colours. The AUCs for blond (0.72) and brown (0.70) hair colour were considerably lower. None of the individuals was predicted to have intermediate eye colour. Therefore, the error rates of the overall eye colour predictions were 37% with no predictive probability threshold (pmax) and 26% with a probability threshold of 0.7. We also observed that more than half of the incorrect predictions were for individuals carrying the rs12913832 GG genotype. For hair colour, 65% of the individuals were correctly predicted when using the highest probability category approach. The main error was observed for individuals with brown hair colour that were predicted to have blond hair. Utilising the prediction guide approach increased the correct predictions to 75%. Assessment of phenotype-genotype associations of eye colours using a quantitative eye colour score (PIE-score), revealed that rs12913832 AA individuals of Norwegian descent had statistically significantly higher PIE-score (less brown eye colour) than individuals of non-northern European descent. To our knowledge, this has not been reported in other studies. Our study suggests that careful assessment of the target population prior to the implementation of forensic DNA phenotyping to case work is beneficial.
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Jian H, Zu P, Rao Y, Li W, Mou T, Lin J, Zhang F. Comparative analysis of melanin deposition between Chishui silky fowl and Taihe silky fowl. JOURNAL OF APPLIED ANIMAL RESEARCH 2021. [DOI: 10.1080/09712119.2021.1981911] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Affiliation(s)
- Huafeng Jian
- Key Laboratory of Animal Genetics, Breeding and Reproduction in the Plateau Mountainous Region, The Ministry of Education, Guizhou University, Guiyang, People’s Republic of China
- Guizhou Province Key Laboratory of Animal Genetics, Breeding and Reproduction, College of Animal Science, Guizhou University, Guiyang, People’s Republic of China
- Research Institute of Poultry, Guizhou University, Guiyang, People’s Republic of China
- Guizhou University Science and Research Poultry Farm, Guiyang, People’s Republic of China
| | - Panyu Zu
- Key Laboratory of Animal Genetics, Breeding and Reproduction in the Plateau Mountainous Region, The Ministry of Education, Guizhou University, Guiyang, People’s Republic of China
- Guizhou Province Key Laboratory of Animal Genetics, Breeding and Reproduction, College of Animal Science, Guizhou University, Guiyang, People’s Republic of China
- Research Institute of Poultry, Guizhou University, Guiyang, People’s Republic of China
- Guizhou University Science and Research Poultry Farm, Guiyang, People’s Republic of China
| | - Yongchao Rao
- Key Laboratory of Animal Genetics, Breeding and Reproduction in the Plateau Mountainous Region, The Ministry of Education, Guizhou University, Guiyang, People’s Republic of China
- Guizhou Province Key Laboratory of Animal Genetics, Breeding and Reproduction, College of Animal Science, Guizhou University, Guiyang, People’s Republic of China
- Research Institute of Poultry, Guizhou University, Guiyang, People’s Republic of China
- Guizhou University Science and Research Poultry Farm, Guiyang, People’s Republic of China
| | - Wei Li
- Guizhou Province Management Station of Livestock Genetic Resources, Guiyang, People’s Republic of China
| | - Tenghui Mou
- Key Laboratory of Animal Genetics, Breeding and Reproduction in the Plateau Mountainous Region, The Ministry of Education, Guizhou University, Guiyang, People’s Republic of China
- Guizhou Province Key Laboratory of Animal Genetics, Breeding and Reproduction, College of Animal Science, Guizhou University, Guiyang, People’s Republic of China
- Research Institute of Poultry, Guizhou University, Guiyang, People’s Republic of China
- Guizhou University Science and Research Poultry Farm, Guiyang, People’s Republic of China
| | - Jiadong Lin
- Key Laboratory of Animal Genetics, Breeding and Reproduction in the Plateau Mountainous Region, The Ministry of Education, Guizhou University, Guiyang, People’s Republic of China
- Guizhou Province Key Laboratory of Animal Genetics, Breeding and Reproduction, College of Animal Science, Guizhou University, Guiyang, People’s Republic of China
- Research Institute of Poultry, Guizhou University, Guiyang, People’s Republic of China
- Guizhou University Science and Research Poultry Farm, Guiyang, People’s Republic of China
| | - Fuping Zhang
- Key Laboratory of Animal Genetics, Breeding and Reproduction in the Plateau Mountainous Region, The Ministry of Education, Guizhou University, Guiyang, People’s Republic of China
- Guizhou Province Key Laboratory of Animal Genetics, Breeding and Reproduction, College of Animal Science, Guizhou University, Guiyang, People’s Republic of China
- Research Institute of Poultry, Guizhou University, Guiyang, People’s Republic of China
- Guizhou University Science and Research Poultry Farm, Guiyang, People’s Republic of China
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Carratto TMT, Marcorin L, do Valle-Silva G, de Oliveira MLG, Donadi EA, Simões AL, Castelli EC, Mendes-Junior CT. Prediction of eye and hair pigmentation phenotypes using the HIrisPlex system in a Brazilian admixed population sample. Int J Legal Med 2021; 135:1329-1339. [PMID: 33884487 DOI: 10.1007/s00414-021-02554-7] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2020] [Accepted: 02/26/2021] [Indexed: 01/23/2023]
Abstract
Human pigmentation is a complex trait, probably involving more than 100 genes. Predicting phenotypes using SNPs present in those genes is important for forensic purpose. For this, the HIrisPlex tool was developed for eye and hair color prediction, with both models achieving high accuracy among Europeans. Its evaluation in admixed populations is important, since they present a higher frequency of intermediate phenotypes, and HIrisPlex has demonstrated limitations in such predictions; therefore, the performance of this tool may be impaired in such populations. Here, we evaluate the set of 24 markers from the HIrisPlex system in 328 individuals from Ribeirão Preto (SP) region, predicting eye and hair color and comparing the predictions with their real phenotypes. We used the HaloPlex Target Enrichment System and MiSeq Personal Sequencer platform for massively parallel sequencing. The prediction of eye and hair color was accomplished by the HIrisPlex online tool, using the default prediction settings. Ancestry was estimated using the SNPforID 34-plex to observe if and how an individual's ancestry background would affect predictions in this admixed sample. Our sample presented major European ancestry (70.5%), followed by African (21.1%) and Native American/East Asian (8.4%). HIrisPlex presented an overall sensitivity of 0.691 for hair color prediction, with sensitivities ranging from 0.547 to 0.782. The lowest sensitivity was observed for individuals with black hair, who present a reduced European contribution (48.4%). For eye color prediction, the overall sensitivity was 0.741, with sensitivities higher than 0.85 for blue and brown eyes, although it failed in predicting intermediate eye color. Such struggle in predicting this phenotype category is in accordance with what has been seen in previous studies involving HIrisPlex. Individuals with brown eye color are more admixed, with European ancestry decreasing to 62.6%; notwithstanding that, sensitivity for brown eyes was almost 100%. Overall sensitivity increases to 0.791 when a 0.7 threshold is set, though 12.5% of the individuals become undefined. When combining eye and hair prediction, hit rates between 51.3 and 68.9% were achieved. Despite the difficulties with intermediate phenotypes, we have shown that HIrisPlex results can be very helpful when interpreted with caution.
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Affiliation(s)
- Thássia Mayra Telles Carratto
- Departamento de Química, Laboratório de Pesquisas Forenses e Genômicas, Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo, Av. Bandeirantes, 3900, SP, 14040-901, Ribeirão Preto, Brazil
| | - Letícia Marcorin
- Departamento de Genética, Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo, Ribeirão Preto, SP, 14049-900, Brazil
| | - Guilherme do Valle-Silva
- Departamento de Química, Laboratório de Pesquisas Forenses e Genômicas, Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo, Av. Bandeirantes, 3900, SP, 14040-901, Ribeirão Preto, Brazil
| | | | - Eduardo Antônio Donadi
- Divisão de Imunologia Clínica, Departamento de Clínica Médica, Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo, Ribeirão Preto, SP, 14048-900, Brazil
| | - Aguinaldo Luiz Simões
- Departamento de Genética, Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo, Ribeirão Preto, SP, 14049-900, Brazil
| | - Erick C Castelli
- Departamento de Patologia, Faculdade de Medicina de Botucatu, Unesp - Universidade Estadual Paulista, Botucatu, SP, 18618-970, Brazil
| | - Celso Teixeira Mendes-Junior
- Departamento de Química, Laboratório de Pesquisas Forenses e Genômicas, Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo, Av. Bandeirantes, 3900, SP, 14040-901, Ribeirão Preto, Brazil.
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Huang X, Wang S, Jin L, He Y. Dissecting dynamics and differences of selective pressures in the evolution of human pigmentation. Biol Open 2021; 10:bio056523. [PMID: 33495209 PMCID: PMC7888712 DOI: 10.1242/bio.056523] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2020] [Accepted: 12/21/2020] [Indexed: 01/05/2023] Open
Abstract
Human pigmentation is a highly diverse and complex trait among populations and has drawn particular attention from both academic and non-academic investigators for thousands of years. Previous studies detected selection signals in several human pigmentation genes, but few studies have integrated contribution from multiple genes to the evolution of human pigmentation. Moreover, none has quantified selective pressures on human pigmentation over epochs and between populations. Here, we dissect dynamics and differences of selective pressures during different periods and between distinct populations with new approaches. We use genotype data of 19 genes associated with human pigmentation from 17 publicly available datasets and obtain data for 2346 individuals of six representative population groups from across the world. Our results quantify the strength of natural selection on light pigmentation not only in modern Europeans (0.0259/generation) but also in proto-Eurasians (0.00650/generation). Our results also suggest that several derived alleles associated with human dark pigmentation may be under positive directional selection in some African populations. Our study provides the first attempt to quantitatively investigate the dynamics of selective pressures during different time periods in the evolution of human pigmentation.This article has an associated First Person interview with the first author of the article.
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Affiliation(s)
- Xin Huang
- Chinese Academy of Sciences Key Laboratory of Computational Biology, Chinese Academy of Sciences-Max Planck Society Partner Institute for Computational Biology, Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China
| | - Sijia Wang
- Chinese Academy of Sciences Key Laboratory of Computational Biology, Chinese Academy of Sciences-Max Planck Society Partner Institute for Computational Biology, Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China
- State Key Laboratory of Genetic Engineering and Ministry of Education Key Laboratory of Contemporary Anthropology, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, Shanghai 200433, China
| | - Li Jin
- Chinese Academy of Sciences Key Laboratory of Computational Biology, Chinese Academy of Sciences-Max Planck Society Partner Institute for Computational Biology, Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China
- State Key Laboratory of Genetic Engineering and Ministry of Education Key Laboratory of Contemporary Anthropology, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, Shanghai 200433, China
| | - Yungang He
- Key Laboratory of Medical Epigenetics and Metabolism, Institutes of Biomedical Sciences, Fudan University, Shanghai 200032, China
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Al-Rashedi NA, Mandal AM, ALObaidi LAH. Eye color prediction using the IrisPlex system: a limited pilot study in the Iraqi population. EGYPTIAN JOURNAL OF FORENSIC SCIENCES 2020. [DOI: 10.1186/s41935-020-00200-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023] Open
Abstract
Abstract
Background
Forensic DNA phenotyping has gained momentum in the recent past due to the prediction of externally visible characters (EVCs) from the biological sample. The most common phenotypes like eye, hair, and skin color are predicted from the biological samples using a web-based system called IrisPlex. Based on six genetic SNPs, the IrisPlex system is developed and validated for its prediction accuracy in diverse ethnic groups worldwide. In previous studies, this system proved to have significant prediction accuracy. The EVCs vary substantially based on different geographical locations. Hence, the objective of this study was to validate the accuracy of the IrisPlex system in predicting the eye colors in the Iraqi population.
Methods
Six genetic single-nucleotide polymorphisms SNPs (HERC2-rs12913832, OCA2- rs1800407, SLC24A4-rs12896399, SLC45A2- rs16891982, TYR-rs1393350, and IRF4- rs12203592) in 58 Iraqi subjects were performed using Sequenom MassARRAY Genotyping. According to Liu et al., a predicted probability of 0.7 was considered as the threshold.
Results
Participants in this study of brown color were observed in 44.83%, intermediate in 43.1%, and blue in 12.07%. Completely predictive accuracy is obtained in 1; we observed the AUC at threshold 0.7 was 0.91 for brown, 0.79 for blue, and 0.60 for intermediate eye color. The sensitivity was 42.85% for blue, 0% for intermediate eye color, and 100% for brown-colored eye. Specificity was 100% for blue, 100% for intermediate, and 78.13% for brown eye color.
Conclusion
Hence, it was concluded that the prediction accuracy of the IrisPlex system for blue and brown color eye in the Iraqi population is significant in the studied population size. However, a pivotal study with larger sample size is required to represent the prediction accuracy of the IrisPlex system in the whole Iraqi population.
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Carratto TMT, Marcorin L, Debortoli G, Hünemeier T, Norton H, Parra EJ, Castelli EC, Mendes-Junior CT. Insights on hair, skin and eye color of ancient and contemporary Native Americans. Forensic Sci Int Genet 2020; 48:102335. [PMID: 32593164 DOI: 10.1016/j.fsigen.2020.102335] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2020] [Revised: 05/20/2020] [Accepted: 06/08/2020] [Indexed: 12/28/2022]
Abstract
Over the past few years, tools capable of predicting pigmentation phenotypes have been developed aiming to contribute for criminal and anthropological investigations. In this study, we used eight genetic systems to infer eye, hair, and skin color of ancient and contemporary Native Americans. To achieve this goal, we retrieved 61 SNPs from 42 samples available in free online repositories of DNA sequences. We performed pigmentation predictions using two freely available tools, HIrisPlex-S and Snipper, in addition to two other published models. This workflow made possible to predict all three phenotypes with at least one tool for 29 out of the 42 samples. Considering these 29 individuals, predictions for eye, hair, and skin color were obtained with HIrisPlex-S for 27, 28 and 27 individuals, respectively, while 24, 25 and 25 individuals had such predictions with Snipper. In general, ancient and contemporary Native Americans were predicted to have intermediate/brown eyes, black hair, and intermediate/darker skin pigmentation.
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Affiliation(s)
- Thássia Mayra Telles Carratto
- Departamento de Química, Laboratório de Pesquisas Forenses e Genômicas, Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo, 14040-901, Ribeirão Preto, SP, Brazil
| | - Letícia Marcorin
- Departamento de Genética, Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo, 14049-900, Ribeirão Preto, SP, Brazil
| | - Guilherme Debortoli
- Department of Anthropology, University of Toronto at Mississauga, L5L 1C6, Mississauga, ON, Canada
| | - Tábita Hünemeier
- Departamento de Genética e Biologia Evolutiva, Instituto de Biociências, Universidade de São Paulo, 05508-090, São Paulo, SP, Brazil
| | - Heather Norton
- Department of Anthropology, University of Cincinnati, 45221, Cincinnati, OH, United States
| | - Esteban Juan Parra
- Department of Anthropology, University of Toronto at Mississauga, L5L 1C6, Mississauga, ON, Canada
| | - Erick C Castelli
- São Paulo State University (UNESP), Department of Pathology, School of Medicine, Botucatu, SP, Brazil
| | - Celso Teixeira Mendes-Junior
- Departamento de Química, Laboratório de Pesquisas Forenses e Genômicas, Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo, 14040-901, Ribeirão Preto, SP, Brazil.
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Andersen JD, Meyer OS, Simão F, Jannuzzi J, Carvalho E, Andersen MM, Pereira V, Børsting C, Morling N, Gusmão L. Skin pigmentation and genetic variants in an admixed Brazilian population of primarily European ancestry. Int J Legal Med 2020; 134:1569-1579. [PMID: 32385594 DOI: 10.1007/s00414-020-02307-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2019] [Accepted: 04/22/2020] [Indexed: 01/16/2023]
Abstract
Although many genes have been shown to be associated with human pigmentary traits and forensic prediction assays exist (e.g. HIrisPlex-S), the genetic knowledge about skin colour remains incomplete. The highly admixed Brazilian population is an interesting study population for investigation of the complex genotype-phenotype architecture of human skin colour because of its large variation. Here, we compared variants in 22 pigmentary genes with quantitative skin pigmentation levels on the buttock, arm, and forehead areas of 266 genetically admixed Brazilian individuals. The genetic ancestry of each individual was estimated by typing 46 AIM-InDels. The mean proportion of genetic ancestry was 68.8% European, 20.8% Sub-Saharan African, and 10.4% Native American. A high correlation (adjusted R2 = 0.65, p < 0.05) was observed between nine SNPs and quantitative skin pigmentation using multiple linear regression analysis. The correlations were notably smaller between skin pigmentation and biogeographic ancestry (adjusted R2 = 0.45, p < 0.05), or markers in the leading forensic skin colour prediction system, the HIrisPlex-S (adjusted R2 = 0.54, p < 0.05). Four of the nine SNPs, OCA2 rs1448484 (rank 2), APBA2 rs4424881 (rank 4), MFSD12 rs10424065 (rank 8), and TYRP1 1408799 (rank 9) were not investigated as part of the HIrisPlex-S selection process, and therefore not included in the HIrisPlex-S model. Our results indicate that these SNPs account for a substantial part of the skin colour variation in individuals of admixed ancestry. Hence, we suggest that these SNPs are considered when developing future skin colour prediction models.
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Affiliation(s)
- Jeppe D Andersen
- Section of Forensic Genetics, Department of Forensic Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, DK-2100, Copenhagen, Denmark.
| | - Olivia S Meyer
- Section of Forensic Genetics, Department of Forensic Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, DK-2100, Copenhagen, Denmark
| | - Filipa Simão
- DNA Diagnostic Laboratory (LDD), Institute of Biology, State University of Rio de Janeiro (UERJ), Rio de Janeiro, Brazil
| | - Juliana Jannuzzi
- DNA Diagnostic Laboratory (LDD), Institute of Biology, State University of Rio de Janeiro (UERJ), Rio de Janeiro, Brazil
| | - Elizeu Carvalho
- DNA Diagnostic Laboratory (LDD), Institute of Biology, State University of Rio de Janeiro (UERJ), Rio de Janeiro, Brazil
| | - Mikkel M Andersen
- Department of Mathematical Sciences, Aalborg University, DK-9000, Aalborg, Denmark
| | - Vania Pereira
- Section of Forensic Genetics, Department of Forensic Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, DK-2100, Copenhagen, Denmark
| | - Claus Børsting
- Section of Forensic Genetics, Department of Forensic Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, DK-2100, Copenhagen, Denmark
| | - Niels Morling
- Section of Forensic Genetics, Department of Forensic Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, DK-2100, Copenhagen, Denmark
| | - Leonor Gusmão
- DNA Diagnostic Laboratory (LDD), Institute of Biology, State University of Rio de Janeiro (UERJ), Rio de Janeiro, Brazil
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The Eurasian lactase persistence variant LCT-13910 C/T is associated with vitamin D levels in individuals living at high latitude, more so than exposure to sunlight. J Nutr Sci 2020; 9:e1. [PMID: 32042409 PMCID: PMC6984125 DOI: 10.1017/jns.2019.41] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
Abstract
Rapid selection of a genetic variant that confers continuous life-long lactase production in Europeans (LCT-13910 C/T) has been attributed to the advantages of acquiring nutrients from consuming milk without the disadvantages of lactose malabsorption. Individuals with this genetic lactase persistence (LP) variant generally consume more milk and have been shown to have higher levels of serum vitamin D. Vitamin D is the principal regulator of Ca absorption and its synthesis in skin is dependent on UVB exposure. The primary aim of the present study was to compare serum vitamin D concentrations with LP variant and to control for UVB exposure. Data from over 100 000 individuals living in Norway, a country with low UVB exposure, was retrospectively retrieved for comparison of genetic LP variant, serum 25-hydroxyvitamin D (25(OH)D) concentration and the time of year when serum samples were taken. For comparison, a similar analysis was performed with a natural dairy micronutrient, namely vitamin B12. It was found that individuals with the genetic LP variant had considerably higher levels of serum 25(OH)D (P < 2 × 10-16, Cohen's d = 0·73) but lower levels of vitamin B12 (P < 2 × 10-16, Cohen's d = 0·11), compared with genetic lactase non-persistent individuals, even when controlled for seasonality, age and sex. The difference in serum 25(OH)D levels did not diminish in summer months, showing the role of vitamin D in LP variant selection in areas of low UVB irradiation. LP variant selection advantage through acquiring another dairy micronutrient, vitamin B12, was not observed.
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Meyer OS, Andersen JD, Børsting C. Presentation of the Human Pigmentation (HuPi) AmpliSeq™ custom panel. FORENSIC SCIENCE INTERNATIONAL GENETICS SUPPLEMENT SERIES 2019. [DOI: 10.1016/j.fsigss.2019.10.058] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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Khatoon F. RECENT TECHNIQUES BASED ON THE UTILIZATION OF DNA AND AUTOSOMAL SINGLE NUCLEOTIDE POLYMORPHISMS FOR IDENTIFYING HUMANS. GOMAL JOURNAL OF MEDICAL SCIENCES 2019. [DOI: 10.46903/gjms/17.02.2022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022] Open
Abstract
The biological samples used in forensics can contain DNA which is highly fragmented as a consequence of exposure to any of the numerous degrading factors. Analysis of the sequence or size of the products of Polymerase chain reaction is at present responsible for the analysis of remains of humans in forensics. Despite the effectiveness of protocols based on PCR, there are certain limitations that are presented by the low numbers of copies of the template and the variations that are imposed by the decaying process to the template. The primary aim of this research is to explore the significance of autosomal SNPs in forensic science through the identification of humans at a crime scene. This study provides an exploration of the applicability of autosomal SNPs for the identification of humans at crime scene. This would fill the gap present in the current literature regarding the significance of autosomal SNPs in the identification of humans during crime scene investigation. It will also enable the identification of the criminals involved in several types of the crimes ranging from general theft to rape and sexual assault, murder, and robberies. It will also allow the identification of dead bodies in cases where it is difficult to identify the dead person due to unrecognizable condition of the body. This study will facilitate the improvement of the investigation of crime scene investigators. It will provide a significant way for the incorporation of recent techniques of the molecular genetics into forensics. Reduction in the workload of the crime scene investigators would also occur through the implementation of outcomes of this study into the field of forensic science. There are several studies which have demonstrated the applicability of SNPs in forensic investigations for identifying the humans at crime scene. Several effective and efficient technological systems have been developed by the researchers which are capable of performing analysis of biological samples containing degraded DNA because SNPs can be obtained from these samples. Physical characteristics of the individuals can be predicted through the analysis of SNPs. This can provide significant information about the color of eye, hair and skin of the individuals involved in crime.
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Salvoro C, Faccinetto C, Zucchelli L, Porto M, Marino A, Occhi G, de Los Campos G, Vazza G. Performance of four models for eye color prediction in an Italian population sample. Forensic Sci Int Genet 2019; 40:192-200. [PMID: 30884346 DOI: 10.1016/j.fsigen.2019.03.008] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2018] [Revised: 01/27/2019] [Accepted: 03/10/2019] [Indexed: 11/29/2022]
Abstract
Forensic DNA phenotyping (FDP) has recently provided important advancements in forensic investigations, by predicting the physical appearance of a subject from a biological sample, using SNP markers. The majority of operable prediction models have been developed for iris color; however, replication studies to understand their applicability on a worldwide scale are still limited for many of them. In this work, 4 models for eye color prediction (IrisPlex, Ruiz, Allwood and Hart models) were systematically evaluated in a sample of 296 subjects of Italian origin. Genotypes were determined by a custom NGS-based panel targeting all the predictive SNPs included in the 4 tested models. Overall, 60-69% of the Italian sample could be correctly predicted with the IrisPlex, Ruiz and Allwood models, applying the recommended threshold. The IrisPlex model showed the lowest frequency of errors (17%), but also the highest number of inconclusive results (18%). In the absence of the threshold, the highest proportion of correct predictions was again obtained with the IrisPlex model (76%), followed by the Allwood (73%) and the Ruiz (65%) models. Lastly, the Hart predictive algorithm had the lowest error rate (2%), but the majority of predictions (87%) were restricted to the less informative categories of "not-blue" and "not-brown", and correct color predictions were obtained only for 11% of the sample. As observed in previous studies, the majority of incorrect and undefined predictions were ascribable to the intermediate category, which represented 25% of the Italian sample. An adjustment of the IrisPlex (multinomial logistic regression) and Ruiz models (Snipper Bayesian classifier) with Italian allele frequencies gave only minor improvements in predicting intermediate eye color and no remarkable overall changes in performance. This suggests an incomplete knowledge underlying the intermediate colors. Considering the impact of this phenotype in the Italian sample as well as in other admixed populations, future improvements of eye color prediction methods should include a better genetic and phenotypic characterization of this category.
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Affiliation(s)
| | - Christian Faccinetto
- Reparto Carabinieri Investigazioni Scientifiche di Parma, Sezione Biologia, Parma, Italy.
| | - Luca Zucchelli
- Department of Biology, University of Padova, Padova, Italy
| | - Marika Porto
- Department of Biology, University of Padova, Padova, Italy
| | - Alberto Marino
- Reparto Carabinieri Investigazioni Scientifiche di Parma, Sezione Biologia, Parma, Italy
| | - Gianluca Occhi
- Department of Biology, University of Padova, Padova, Italy
| | - Gustavo de Los Campos
- Departments of Epidemiology & Biostatistics and Statistics & Probability, Institute for Quantitative Health Science and Engineering, Michigan State University, East Lansing, Michigan United States
| | - Giovanni Vazza
- Department of Biology, University of Padova, Padova, Italy.
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Katsara MA, Nothnagel M. True colors: A literature review on the spatial distribution of eye and hair pigmentation. Forensic Sci Int Genet 2019; 39:109-118. [DOI: 10.1016/j.fsigen.2019.01.001] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2018] [Revised: 12/11/2018] [Accepted: 01/01/2019] [Indexed: 10/27/2022]
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Sharma V, Jani K, Khosla P, Butler E, Siegel D, Wurmbach E. Evaluation of ForenSeq™ Signature Prep Kit B on predicting eye and hair coloration as well as biogeographical ancestry by using Universal Analysis Software (UAS) and available web‐tools. Electrophoresis 2019; 40:1353-1364. [DOI: 10.1002/elps.201800344] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2018] [Revised: 12/07/2018] [Accepted: 01/14/2019] [Indexed: 11/08/2022]
Affiliation(s)
- Vishakha Sharma
- Office of Chief Medical ExaminerDepartment of Forensic Biology New York NY USA
| | - Krupa Jani
- Office of Chief Medical ExaminerDepartment of Forensic Biology New York NY USA
| | - Pavan Khosla
- Office of Chief Medical ExaminerDepartment of Forensic Biology New York NY USA
| | - Erin Butler
- Office of Chief Medical ExaminerDepartment of Forensic Biology New York NY USA
| | - Donald Siegel
- Office of Chief Medical ExaminerDepartment of Forensic Biology New York NY USA
| | - Elisa Wurmbach
- Office of Chief Medical ExaminerDepartment of Forensic Biology New York NY USA
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Quillen EE, Norton HL, Parra EJ, Lona-Durazo F, Ang KC, Illiescu FM, Pearson LN, Shriver MD, Lasisi T, Gokcumen O, Starr I, Lin YL, Martin AR, Jablonski NG. Shades of complexity: New perspectives on the evolution and genetic architecture of human skin. AMERICAN JOURNAL OF PHYSICAL ANTHROPOLOGY 2018; 168 Suppl 67:4-26. [PMID: 30408154 DOI: 10.1002/ajpa.23737] [Citation(s) in RCA: 32] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/02/2018] [Revised: 09/17/2018] [Accepted: 09/20/2018] [Indexed: 02/06/2023]
Abstract
Like many highly variable human traits, more than a dozen genes are known to contribute to the full range of skin color. However, the historical bias in favor of genetic studies in European and European-derived populations has blinded us to the magnitude of pigmentation's complexity. As deliberate efforts are being made to better characterize diverse global populations and new sequencing technologies, better measurement tools, functional assessments, predictive modeling, and ancient DNA analyses become more widely accessible, we are beginning to appreciate how limited our understanding of the genetic bases of human skin color have been. Novel variants in genes not previously linked to pigmentation have been identified and evidence is mounting that there are hundreds more variants yet to be found. Even for genes that have been exhaustively characterized in European populations like MC1R, OCA2, and SLC24A5, research in previously understudied groups is leading to a new appreciation of the degree to which genetic diversity, epistatic interactions, pleiotropy, admixture, global and local adaptation, and cultural practices operate in population-specific ways to shape the genetic architecture of skin color. Furthermore, we are coming to terms with how factors like tanning response and barrier function may also have influenced selection on skin throughout human history. By examining how our knowledge of pigmentation genetics has shifted in the last decade, we can better appreciate how far we have come in understanding human diversity and the still long road ahead for understanding many complex human traits.
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Affiliation(s)
- Ellen E Quillen
- Department of Internal Medicine, Section of Molecular Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina.,Center for Precision Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Heather L Norton
- Department of Anthropology, University of Cincinnati, Cincinnati, Ohio
| | - Esteban J Parra
- Department of Anthropology, University of Toronto - Mississauga, Mississauga, Ontario, Canada
| | - Frida Lona-Durazo
- Department of Anthropology, University of Toronto - Mississauga, Mississauga, Ontario, Canada
| | - Khai C Ang
- Department of Pathology and Jake Gittlen Laboratories for Cancer Research, Penn State College of Medicine, Hershey, Pennsylvania
| | - Florin Mircea Illiescu
- Department of Zoology, University of Cambridge, Cambridge, United Kingdom.,Centro de Estudios Interculturales e Indígenas - CIIR, P. Universidad Católica de Chile, Santiago, Chile
| | - Laurel N Pearson
- Department of Anthropology, Pennsylvania State University, University Park, Pennsylvania
| | - Mark D Shriver
- Department of Anthropology, Pennsylvania State University, University Park, Pennsylvania
| | - Tina Lasisi
- Department of Anthropology, Pennsylvania State University, University Park, Pennsylvania
| | - Omer Gokcumen
- Department of Biological Sciences, State University of New York at Buffalo, Buffalo, New York
| | - Izzy Starr
- Department of Biological Sciences, State University of New York at Buffalo, Buffalo, New York
| | - Yen-Lung Lin
- Department of Biological Sciences, State University of New York at Buffalo, Buffalo, New York
| | - Alicia R Martin
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, Massachusetts.,Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, Massachusetts.,Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, Massachusetts
| | - Nina G Jablonski
- Department of Anthropology, Pennsylvania State University, University Park, Pennsylvania
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25
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Bradbury C, Köttgen A, Staubach F. Off-target phenotypes in forensic DNA phenotyping and biogeographic ancestry inference: A resource. Forensic Sci Int Genet 2018; 38:93-104. [PMID: 30391626 DOI: 10.1016/j.fsigen.2018.10.010] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2018] [Revised: 08/27/2018] [Accepted: 10/13/2018] [Indexed: 01/04/2023]
Abstract
With recent advances in DNA sequencing technologies it has become feasible and cost effective to genotype larger marker sets for forensic purposes. Two technologies that make use of the larger marker sets have come into focus in forensic research and applications; inference of biogeographic ancestry (BGA) and forensic DNA phenotyping (FDP). These methods hold the promise to reveal information about a yet unknown perpetrator from a DNA sample. In contrast, DNA-profiling, that is a standard practice in case work, relies on matching DNA-profiles between crime scene material and suspects on a database of DNA-profiles. Markers for DNA-profiling were developed under the premise to reveal as little additional information about the human source of the profile as possible, the rationale being that personal privacy rights have to be balanced against the public interest in solving a crime. The same argument holds for markers used in BGA and FDP; these markers might also reveal information on off-target phenotypes (OTPs), that go beyond BGA and the phenotypes targeted in FDP. In particular, health related OTPs might shift the balance between privacy protection and public interest. However, to our knowledge, there is currently no convenient resource available to incorporate knowledge on OTPs in BGA and FDP assay design and application. In order to provide such a resource, we performed a systematic search for OTPs associated with a comprehensive set of markers (1766 SNPs) used or suggested to be used for BGA inference and FDP. In this set, we identified a relatively small number of 27 SNPs (1.53%) that convey information on diverse health related OTPs such as cancer risk, induced asthma, or risk of alcoholism. Some of these SNPs are commonly used for FDP and BGA across different marker sets. We conclude that the effects of SNP markers used in FDP and BGA on OTPs are currently limited, with few exceptions that should be considered in a balanced decision on assay design and application.
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Affiliation(s)
- Cedric Bradbury
- University College Freiburg, Albert-Ludwigs-University Freiburg, Freiburg, Germany
| | - Anna Köttgen
- Institute of Genetic Epidemiology, Dept. of Biometry, Epidemiology and Medical Bioinformatics, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany
| | - Fabian Staubach
- Institute of Biology I, Dept. of Evolutionary Biology and Ecology, Albert-Ludwigs-University Freiburg, Freiburg, Germany.
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26
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Chaitanya L, Breslin K, Zuñiga S, Wirken L, Pośpiech E, Kukla-Bartoszek M, Sijen T, Knijff PD, Liu F, Branicki W, Kayser M, Walsh S. The HIrisPlex-S system for eye, hair and skin colour prediction from DNA: Introduction and forensic developmental validation. Forensic Sci Int Genet 2018; 35:123-135. [DOI: 10.1016/j.fsigen.2018.04.004] [Citation(s) in RCA: 138] [Impact Index Per Article: 23.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2017] [Revised: 03/05/2018] [Accepted: 04/06/2018] [Indexed: 11/29/2022]
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27
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Zar MS, Shahid AA, Shahzad MS, Shin KJ, Lee HY, Lee SS, Israr M, Wiegand P, Kulstein G. Forensic SNP Genotyping with SNaPshot: Development of a Novel In-house SBE Multiplex SNP Assay,. J Forensic Sci 2018; 63:1824-1829. [DOI: 10.1111/1556-4029.13783] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2018] [Revised: 02/12/2018] [Accepted: 02/28/2018] [Indexed: 12/19/2022]
Affiliation(s)
- Mian Sahib Zar
- Center for Synthetic Biology Engineering Research (CSynBER); Shenzhen Institute of Advanced Technology; Chinese Academy of Sciences; 1068 Xuevuan Avenue Shenzhen University Town, Shenzhen China
- National Lab and CAS Center of Excellence for Biomacromolecules; Institute of Biophysics; Chinese Academy of Sciences; Beijing 100101 China
- Department of Forensic Sciences; University of Health Sciences; Lahore Pakistan
- Centre of Excellence in Molecular Biology (CEMB); University of the Punjab; Lahore Pakistan
- Department of Forensic Medicine; Yonsei University College of Medicine; Seoul South Korea
| | - Ahmad Ali Shahid
- Centre of Excellence in Molecular Biology (CEMB); University of the Punjab; Lahore Pakistan
| | - Muhammad Saqib Shahzad
- Centre of Excellence in Molecular Biology (CEMB); University of the Punjab; Lahore Pakistan
| | - Kyoung-Jin Shin
- Department of Forensic Medicine; Yonsei University College of Medicine; Seoul South Korea
| | - Hwan Young Lee
- Department of Forensic Medicine; Yonsei University College of Medicine; Seoul South Korea
| | - Sang-Seob Lee
- Section of Forensic Odontology; Medical Examiner's Office; National Forensic Service; 10 Ipchun-ro Wonju Gangwon-do Republic of Korea
| | - Muhammad Israr
- Department of Forensic Studies; University of Swat; Swat Khyber Pakhtunkhwa Pakistan
| | - Peter Wiegand
- Institute of Legal Medicine; Ulm University; Medical Center; Albert-Einstein-Allee 23; Ulm Germany 89081
| | - Galina Kulstein
- Institute of Legal Medicine; Ulm University; Medical Center; Albert-Einstein-Allee 23; Ulm Germany 89081
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28
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van de Loosdrecht M, Bouzouggar A, Humphrey L, Posth C, Barton N, Aximu-Petri A, Nickel B, Nagel S, Talbi EH, El Hajraoui MA, Amzazi S, Hublin JJ, Pääbo S, Schiffels S, Meyer M, Haak W, Jeong C, Krause J. Pleistocene North African genomes link Near Eastern and sub-Saharan African human populations. Science 2018; 360:548-552. [PMID: 29545507 DOI: 10.1126/science.aar8380] [Citation(s) in RCA: 98] [Impact Index Per Article: 16.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2017] [Accepted: 02/28/2018] [Indexed: 12/22/2022]
Abstract
North Africa is a key region for understanding human history, but the genetic history of its people is largely unknown. We present genomic data from seven 15,000-year-old modern humans, attributed to the Iberomaurusian culture, from Morocco. We find a genetic affinity with early Holocene Near Easterners, best represented by Levantine Natufians, suggesting a pre-agricultural connection between Africa and the Near East. We do not find evidence for gene flow from Paleolithic Europeans to Late Pleistocene North Africans. The Taforalt individuals derive one-third of their ancestry from sub-Saharan Africans, best approximated by a mixture of genetic components preserved in present-day West and East Africans. Thus, we provide direct evidence for genetic interactions between modern humans across Africa and Eurasia in the Pleistocene.
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Affiliation(s)
- Marieke van de Loosdrecht
- Department of Archaeogenetics, Max Planck Institute for the Science of Human History (MPI-SHH), Jena, Kahlaische Strasse 10, D-07745, Germany
| | - Abdeljalil Bouzouggar
- Origin and Evolution of Homo sapiens in Morocco Research Group, Institut National des Sciences de l'Archéologie et du Patrimoine, Hay Riad, Madinat Al Irfane, Angle rues 5 et 7, Rabat-Instituts, 10 000 Rabat, Morocco. .,Department of Human Evolution, Max Planck Institute for Evolutionary Anthropology (MPI-EVA), Leipzig, Deutscher Platz 6, D-04103, Germany
| | - Louise Humphrey
- Department of Earth Sciences, The Natural History Museum, London SW7 5BD, UK
| | - Cosimo Posth
- Department of Archaeogenetics, Max Planck Institute for the Science of Human History (MPI-SHH), Jena, Kahlaische Strasse 10, D-07745, Germany
| | - Nick Barton
- Institute of Archaeology, University of Oxford, 36 Beaumont Street, Oxford OX1 2PG, UK
| | - Ayinuer Aximu-Petri
- Department of Evolutionary Genetics, Max Planck Institute for Evolutionary Anthropology (MPI-EVA), Leipzig, Deutscher Platz 6, D-04103, Germany
| | - Birgit Nickel
- Department of Human Evolution, Max Planck Institute for Evolutionary Anthropology (MPI-EVA), Leipzig, Deutscher Platz 6, D-04103, Germany
| | - Sarah Nagel
- Department of Evolutionary Genetics, Max Planck Institute for Evolutionary Anthropology (MPI-EVA), Leipzig, Deutscher Platz 6, D-04103, Germany
| | - El Hassan Talbi
- Faculté des Sciences, Campus d'Al Qods, Université Mohammed Premier, B.P. 717 Oujda, Morocco
| | - Mohammed Abdeljalil El Hajraoui
- Origin and Evolution of Homo sapiens in Morocco Research Group, Institut National des Sciences de l'Archéologie et du Patrimoine, Hay Riad, Madinat Al Irfane, Angle rues 5 et 7, Rabat-Instituts, 10 000 Rabat, Morocco
| | - Saaïd Amzazi
- Mohammed V University, Avenue Ibn Batouta, Rabat, Morocco
| | - Jean-Jacques Hublin
- Department of Human Evolution, Max Planck Institute for Evolutionary Anthropology (MPI-EVA), Leipzig, Deutscher Platz 6, D-04103, Germany
| | - Svante Pääbo
- Department of Evolutionary Genetics, Max Planck Institute for Evolutionary Anthropology (MPI-EVA), Leipzig, Deutscher Platz 6, D-04103, Germany
| | - Stephan Schiffels
- Department of Archaeogenetics, Max Planck Institute for the Science of Human History (MPI-SHH), Jena, Kahlaische Strasse 10, D-07745, Germany
| | - Matthias Meyer
- Department of Evolutionary Genetics, Max Planck Institute for Evolutionary Anthropology (MPI-EVA), Leipzig, Deutscher Platz 6, D-04103, Germany
| | - Wolfgang Haak
- Department of Archaeogenetics, Max Planck Institute for the Science of Human History (MPI-SHH), Jena, Kahlaische Strasse 10, D-07745, Germany
| | - Choongwon Jeong
- Department of Archaeogenetics, Max Planck Institute for the Science of Human History (MPI-SHH), Jena, Kahlaische Strasse 10, D-07745, Germany.
| | - Johannes Krause
- Department of Archaeogenetics, Max Planck Institute for the Science of Human History (MPI-SHH), Jena, Kahlaische Strasse 10, D-07745, Germany.
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29
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Hohl DM, Bezus B, Ratowiecki J, Catanesi CI. Genetic and phenotypic variability of iris color in Buenos Aires population. Genet Mol Biol 2018; 41:50-58. [PMID: 29658972 PMCID: PMC5901501 DOI: 10.1590/1678-4685-gmb-2017-0175] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2017] [Accepted: 08/31/2017] [Indexed: 11/21/2022] Open
Abstract
The aim of this work was to describe the phenotypic and genotypic variability related to iris color for the population of Buenos Aires province (Argentina), and to assess the usefulness of current methods of analysis for this country. We studied five Single Nucleotide Polymorphisms (SNPs) included in the IrisPlex kit, in 118 individuals, and we quantified eye color with Digital Iris Analysis Tool. The markers fit Hardy-Weinberg equilibrium for the whole sample, but not for rs12913832 within the group of brown eyes (LR=8.429; p=0.004). We found a remarkable association of HERC2 rs12913832 GG with blue color (p < 0.01) but the other markers did not show any association with iris color. The results for the Buenos Aires population differ from those of other populations of the world for these polymorphisms (p < 0,01). The differences we found might respond to the admixed ethnic composition of Argentina; therefore, methods of analysis used in European populations should be carefully applied when studying the population of Argentina. These findings reaffirm the importance of this investigation in the Argentinian population for people identification based on iris color.
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Affiliation(s)
- Diana María Hohl
- Laboratorio de Diversidad Genética, Instituto Multidisciplinario de Biología Celular IMBICE (CONICET-UNLP-CIC), La Plata, Buenos Aires, Argentina.,Facultad de Ciencias Exactas, Universidad Nacional de La Plata, La Plata, Buenos Aires, Argentina
| | - Brenda Bezus
- Laboratorio de Diversidad Genética, Instituto Multidisciplinario de Biología Celular IMBICE (CONICET-UNLP-CIC), La Plata, Buenos Aires, Argentina
| | - Julia Ratowiecki
- Centro de Estudios Médicos e Investigaciones Clínicas CEMIC CONICET, Buenos Aires, Argentina
| | - Cecilia Inés Catanesi
- Laboratorio de Diversidad Genética, Instituto Multidisciplinario de Biología Celular IMBICE (CONICET-UNLP-CIC), La Plata, Buenos Aires, Argentina.,Facultad de Ciencias Naturales y Museo, Universidad Nacional de La Plata, La Plata, Buenos Aires, Argentina
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30
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Crime investigation through DNA methylation analysis: methods and applications in forensics. EGYPTIAN JOURNAL OF FORENSIC SCIENCES 2018. [DOI: 10.1186/s41935-018-0042-1] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022] Open
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31
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Martin AR, Lin M, Granka JM, Myrick JW, Liu X, Sockell A, Atkinson EG, Werely CJ, Möller M, Sandhu MS, Kingsley DM, Hoal EG, Liu X, Daly MJ, Feldman MW, Gignoux CR, Bustamante CD, Henn BM. An Unexpectedly Complex Architecture for Skin Pigmentation in Africans. Cell 2017; 171:1340-1353.e14. [PMID: 29195075 PMCID: PMC5884124 DOI: 10.1016/j.cell.2017.11.015] [Citation(s) in RCA: 95] [Impact Index Per Article: 13.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2017] [Revised: 08/13/2017] [Accepted: 11/08/2017] [Indexed: 01/17/2023]
Abstract
Approximately 15 genes have been directly associated with skin pigmentation variation in humans, leading to its characterization as a relatively simple trait. However, by assembling a global survey of quantitative skin pigmentation phenotypes, we demonstrate that pigmentation is more complex than previously assumed, with genetic architecture varying by latitude. We investigate polygenicity in the KhoeSan populations indigenous to southern Africa who have considerably lighter skin than equatorial Africans. We demonstrate that skin pigmentation is highly heritable, but known pigmentation loci explain only a small fraction of the variance. Rather, baseline skin pigmentation is a complex, polygenic trait in the KhoeSan. Despite this, we identify canonical and non-canonical skin pigmentation loci, including near SLC24A5, TYRP1, SMARCA2/VLDLR, and SNX13, using a genome-wide association approach complemented by targeted resequencing. By considering diverse, under-studied African populations, we show how the architecture of skin pigmentation can vary across humans subject to different local evolutionary pressures.
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Affiliation(s)
- Alicia R Martin
- Department of Genetics, Stanford University, Stanford, CA 94305, USA; Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA; Program in Medical and Population Genetics, Broad Institute, Cambridge, MA 02141, USA; Stanley Center for Psychiatric Research, Broad Institute, Cambridge, MA 02141, USA.
| | - Meng Lin
- Department of Ecology and Evolution, SUNY Stony Brook, NY 11794, USA
| | - Julie M Granka
- Department of Biological Sciences, Stanford University, Stanford, CA 94305, USA
| | - Justin W Myrick
- Department of Ecology and Evolution, SUNY Stony Brook, NY 11794, USA
| | | | - Alexandra Sockell
- Department of Genetics, Stanford University, Stanford, CA 94305, USA
| | | | - Cedric J Werely
- SA MRC Centre for Tuberculosis Research, DST/NRF Centre of Excellence for Biomedical Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Tygerberg, Cape Town, South Africa
| | - Marlo Möller
- SA MRC Centre for Tuberculosis Research, DST/NRF Centre of Excellence for Biomedical Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Tygerberg, Cape Town, South Africa
| | | | - David M Kingsley
- Department of Developmental Biology, Stanford University, Stanford, CA 94305, USA
| | - Eileen G Hoal
- SA MRC Centre for Tuberculosis Research, DST/NRF Centre of Excellence for Biomedical Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Tygerberg, Cape Town, South Africa
| | - Xiao Liu
- BGI-Shenzhen, Shenzhen, Guangdong, China
| | - Mark J Daly
- Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA; Program in Medical and Population Genetics, Broad Institute, Cambridge, MA 02141, USA; Stanley Center for Psychiatric Research, Broad Institute, Cambridge, MA 02141, USA
| | - Marcus W Feldman
- Department of Biological Sciences, Stanford University, Stanford, CA 94305, USA
| | | | | | - Brenna M Henn
- Department of Ecology and Evolution, SUNY Stony Brook, NY 11794, USA.
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32
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Rodríguez-Varela R, Günther T, Krzewińska M, Storå J, Gillingwater TH, MacCallum M, Arsuaga JL, Dobney K, Valdiosera C, Jakobsson M, Götherström A, Girdland-Flink L. Genomic Analyses of Pre-European Conquest Human Remains from the Canary Islands Reveal Close Affinity to Modern North Africans. Curr Biol 2017; 27:3396-3402.e5. [PMID: 29107554 DOI: 10.1016/j.cub.2017.09.059] [Citation(s) in RCA: 34] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2017] [Revised: 09/07/2017] [Accepted: 09/27/2017] [Indexed: 12/31/2022]
Abstract
The origins and genetic affinity of the aboriginal inhabitants of the Canary Islands, commonly known as Guanches, are poorly understood. Though radiocarbon dates on archaeological remains such as charcoal, seeds, and domestic animal bones suggest that people have inhabited the islands since the 5th century BCE [1-3], it remains unclear how many times, and by whom, the islands were first settled [4, 5]. Previously published ancient DNA analyses of uniparental genetic markers have shown that the Guanches carried common North African Y chromosome markers (E-M81, E-M78, and J-M267) and mitochondrial lineages such as U6b, in addition to common Eurasian haplogroups [6-8]. These results are in agreement with some linguistic, archaeological, and anthropological data indicating an origin from a North African Berber-like population [1, 4, 9]. However, to date there are no published Guanche autosomal genomes to help elucidate and directly test this hypothesis. To resolve this, we generated the first genome-wide sequence data and mitochondrial genomes from eleven archaeological Guanche individuals originating from Gran Canaria and Tenerife. Five of the individuals (directly radiocarbon dated to a time transect spanning the 7th-11th centuries CE) yielded sufficient autosomal genome coverage (0.21× to 3.93×) for population genomic analysis. Our results show that the Guanches were genetically similar over time and that they display the greatest genetic affinity to extant Northwest Africans, strongly supporting the hypothesis of a Berber-like origin. We also estimate that the Guanches have contributed 16%-31% autosomal ancestry to modern Canary Islanders, here represented by two individuals from Gran Canaria.
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Affiliation(s)
- Ricardo Rodríguez-Varela
- Department of Archaeology and Classical Studies, Stockholm University, 10691 Stockholm, Sweden; Centro Mixto, Universidad Complutense de Madrid-Instituto de Salud Carlos III de Evolución y Comportamiento Humano, 28029 Madrid, Spain.
| | - Torsten Günther
- Department of Organismal Biology, Uppsala University, 75236 Uppsala, Sweden
| | - Maja Krzewińska
- Department of Archaeology and Classical Studies, Stockholm University, 10691 Stockholm, Sweden
| | - Jan Storå
- Department of Archaeology and Classical Studies, Stockholm University, 10691 Stockholm, Sweden
| | - Thomas H Gillingwater
- Anatomy, Edinburgh Medical School: Biomedical Sciences, University of Edinburgh, Edinburgh EH8 9AG, UK
| | - Malcolm MacCallum
- Anatomy, Edinburgh Medical School: Biomedical Sciences, University of Edinburgh, Edinburgh EH8 9AG, UK
| | - Juan Luis Arsuaga
- Centro Mixto, Universidad Complutense de Madrid-Instituto de Salud Carlos III de Evolución y Comportamiento Humano, 28029 Madrid, Spain; Departamento de Paleontología, Facultad de Ciencias Geológicas, Universidad Complutense de Madrid, 28040 Madrid, Spain
| | - Keith Dobney
- Department of Archaeology, School of Geosciences, University of Aberdeen, St. Mary's, Aberdeen AB24 3UF, UK; Department of Archaeology, Classics and Egyptology, University of Liverpool, Liverpool L69 7WZ, UK; Department of Archaeology, Simon Fraser University, Burnaby, BC V5A 1S6, Canada
| | - Cristina Valdiosera
- Centro Mixto, Universidad Complutense de Madrid-Instituto de Salud Carlos III de Evolución y Comportamiento Humano, 28029 Madrid, Spain; Department of Archaeology and History, La Trobe University, Melbourne, VIC 3086, Australia
| | - Mattias Jakobsson
- Department of Organismal Biology, Uppsala University, 75236 Uppsala, Sweden
| | - Anders Götherström
- Department of Archaeology and Classical Studies, Stockholm University, 10691 Stockholm, Sweden
| | - Linus Girdland-Flink
- Department of Archaeology and Classical Studies, Stockholm University, 10691 Stockholm, Sweden; Research Centre in Evolutionary Anthropology and Palaeoecology, School of Natural Sciences and Psychology, Liverpool John Moores University, Byrom Street, Liverpool L3 3AF, UK.
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33
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Lippert C, Sabatini R, Maher MC, Kang EY, Lee S, Arikan O, Harley A, Bernal A, Garst P, Lavrenko V, Yocum K, Wong T, Zhu M, Yang WY, Chang C, Lu T, Lee CWH, Hicks B, Ramakrishnan S, Tang H, Xie C, Piper J, Brewerton S, Turpaz Y, Telenti A, Roby RK, Och FJ, Venter JC. Identification of individuals by trait prediction using whole-genome sequencing data. Proc Natl Acad Sci U S A 2017; 114:10166-10171. [PMID: 28874526 PMCID: PMC5617305 DOI: 10.1073/pnas.1711125114] [Citation(s) in RCA: 96] [Impact Index Per Article: 13.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
Prediction of human physical traits and demographic information from genomic data challenges privacy and data deidentification in personalized medicine. To explore the current capabilities of phenotype-based genomic identification, we applied whole-genome sequencing, detailed phenotyping, and statistical modeling to predict biometric traits in a cohort of 1,061 participants of diverse ancestry. Individually, for a large fraction of the traits, their predictive accuracy beyond ancestry and demographic information is limited. However, we have developed a maximum entropy algorithm that integrates multiple predictions to determine which genomic samples and phenotype measurements originate from the same person. Using this algorithm, we have reidentified an average of >8 of 10 held-out individuals in an ethnically mixed cohort and an average of 5 of either 10 African Americans or 10 Europeans. This work challenges current conceptions of personal privacy and may have far-reaching ethical and legal implications.
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Affiliation(s)
| | | | | | | | | | - Okan Arikan
- Human Longevity, Inc., Mountain View, CA 94303
| | | | - Axel Bernal
- Human Longevity, Inc., Mountain View, CA 94303
| | - Peter Garst
- Human Longevity, Inc., Mountain View, CA 94303
| | | | - Ken Yocum
- Human Longevity, Inc., Mountain View, CA 94303
| | | | - Mingfu Zhu
- Human Longevity, Inc., Mountain View, CA 94303
| | | | - Chris Chang
- Human Longevity, Inc., Mountain View, CA 94303
| | - Tim Lu
- Human Longevity, Inc., San Diego, CA 92121
| | | | - Barry Hicks
- Human Longevity, Inc., Mountain View, CA 94303
| | | | - Haibao Tang
- Human Longevity, Inc., Mountain View, CA 94303
| | - Chao Xie
- Human Longevity Singapore, Pte. Ltd., Singapore 138542
| | - Jason Piper
- Human Longevity Singapore, Pte. Ltd., Singapore 138542
| | | | - Yaron Turpaz
- Human Longevity, Inc., San Diego, CA 92121
- Human Longevity Singapore, Pte. Ltd., Singapore 138542
| | | | - Rhonda K Roby
- Human Longevity, Inc., San Diego, CA 92121
- J. Craig Venter Institute, La Jolla, CA 92037
| | - Franz J Och
- Human Longevity, Inc., Mountain View, CA 94303
| | - J Craig Venter
- Human Longevity, Inc., San Diego, CA 92121;
- J. Craig Venter Institute, La Jolla, CA 92037
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González-Fortes G, Jones ER, Lightfoot E, Bonsall C, Lazar C, Grandal-d'Anglade A, Garralda MD, Drak L, Siska V, Simalcsik A, Boroneanţ A, Vidal Romaní JR, Vaqueiro Rodríguez M, Arias P, Pinhasi R, Manica A, Hofreiter M. Paleogenomic Evidence for Multi-generational Mixing between Neolithic Farmers and Mesolithic Hunter-Gatherers in the Lower Danube Basin. Curr Biol 2017; 27:1801-1810.e10. [PMID: 28552360 PMCID: PMC5483232 DOI: 10.1016/j.cub.2017.05.023] [Citation(s) in RCA: 68] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2017] [Revised: 04/21/2017] [Accepted: 05/04/2017] [Indexed: 11/18/2022]
Abstract
The transition from hunting and gathering to farming involved profound cultural and technological changes. In Western and Central Europe, these changes occurred rapidly and synchronously after the arrival of early farmers of Anatolian origin [1-3], who largely replaced the local Mesolithic hunter-gatherers [1, 4-6]. Further east, in the Baltic region, the transition was gradual, with little or no genetic input from incoming farmers [7]. Here we use ancient DNA to investigate the relationship between hunter-gatherers and farmers in the Lower Danube basin, a geographically intermediate area that is characterized by a rapid Neolithic transition but also by the presence of archaeological evidence that points to cultural exchange, and thus possible admixture, between hunter-gatherers and farmers. We recovered four human paleogenomes (1.1× to 4.1× coverage) from Romania spanning a time transect between 8.8 thousand years ago (kya) and 5.4 kya and supplemented them with two Mesolithic genomes (1.7× and 5.3×) from Spain to provide further context on the genetic background of Mesolithic Europe. Our results show major Western hunter-gatherer (WHG) ancestry in a Romanian Eneolithic sample with a minor, but sizeable, contribution from Anatolian farmers, suggesting multiple admixture events between hunter-gatherers and farmers. Dietary stable-isotope analysis of this sample suggests a mixed terrestrial/aquatic diet. Our results provide support for complex interactions among hunter-gatherers and farmers in the Danube basin, demonstrating that in some regions, demic and cultural diffusion were not mutually exclusive, but merely the ends of a continuum for the process of Neolithization.
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Affiliation(s)
- Gloria González-Fortes
- Department of Life Sciences and Biotechnology, University of Ferrara, Via L. Borsari 46, Ferrara 44100, Italy; Institute for Biochemistry and Biology, University of Potsdam, Karl-Liebknecht-Straße 24-25, 14476 Potsdam OT Golm, Germany.
| | - Eppie R Jones
- Department of Zoology, University of Cambridge, Downing Street, Cambridge CB2 3EJ, UK.
| | - Emma Lightfoot
- McDonald Institute for Archaeological Research, University of Cambridge, Downing Street, Cambridge CB2 3ER, UK
| | - Clive Bonsall
- School of History, Classics and Archaeology, University of Edinburgh, William Robertson Wing, Old Medical School, Teviot Place, Edinburgh EH8 9AG, UK
| | - Catalin Lazar
- National History Museum of Romania, Bucharest 030026, Romania
| | | | - María Dolores Garralda
- Department of Zoology and Physical Anthropology, Complutense University of Madrid, Madrid 28040, Spain
| | - Labib Drak
- Department of Zoology and Physical Anthropology, Complutense University of Madrid, Madrid 28040, Spain
| | - Veronika Siska
- Department of Zoology, University of Cambridge, Downing Street, Cambridge CB2 3EJ, UK
| | - Angela Simalcsik
- "Olga Necrasov" Centre for Anthropological Research of the Romanian Academy, Iaşi Branch, Theodor Codrescu Strada 2, 700481 Iaşi, Romania
| | - Adina Boroneanţ
- "Vasile Pârvan" Institute of Archaeology, Romanian Academy, Henri Coandă Strada 11, Bucharest 010667, Romania
| | | | | | - Pablo Arias
- International Institute of Prehistorical Research, University of Cantabria-Government of Cantabria-Bank of Santander, Santander 39005, Spain
| | - Ron Pinhasi
- School of Archaeology and Earth Institute, Belfield, University College Dublin, Dublin 4, Ireland; Department of Anthropology, University of Vienna, Althanstrasse 14, 1090 Vienna, Austria.
| | - Andrea Manica
- Department of Zoology, University of Cambridge, Downing Street, Cambridge CB2 3EJ, UK.
| | - Michael Hofreiter
- Institute for Biochemistry and Biology, University of Potsdam, Karl-Liebknecht-Straße 24-25, 14476 Potsdam OT Golm, Germany.
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Walsh S, Chaitanya L, Breslin K, Muralidharan C, Bronikowska A, Pospiech E, Koller J, Kovatsi L, Wollstein A, Branicki W, Liu F, Kayser M. Global skin colour prediction from DNA. Hum Genet 2017; 136:847-863. [PMID: 28500464 PMCID: PMC5487854 DOI: 10.1007/s00439-017-1808-5] [Citation(s) in RCA: 73] [Impact Index Per Article: 10.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2017] [Accepted: 05/03/2017] [Indexed: 12/14/2022]
Abstract
Human skin colour is highly heritable and externally visible with relevance in medical, forensic, and anthropological genetics. Although eye and hair colour can already be predicted with high accuracies from small sets of carefully selected DNA markers, knowledge about the genetic predictability of skin colour is limited. Here, we investigate the skin colour predictive value of 77 single-nucleotide polymorphisms (SNPs) from 37 genetic loci previously associated with human pigmentation using 2025 individuals from 31 global populations. We identified a minimal set of 36 highly informative skin colour predictive SNPs and developed a statistical prediction model capable of skin colour prediction on a global scale. Average cross-validated prediction accuracies expressed as area under the receiver-operating characteristic curve (AUC) ± standard deviation were 0.97 ± 0.02 for Light, 0.83 ± 0.11 for Dark, and 0.96 ± 0.03 for Dark-Black. When using a 5-category, this resulted in 0.74 ± 0.05 for Very Pale, 0.72 ± 0.03 for Pale, 0.73 ± 0.03 for Intermediate, 0.87±0.1 for Dark, and 0.97 ± 0.03 for Dark-Black. A comparative analysis in 194 independent samples from 17 populations demonstrated that our model outperformed a previously proposed 10-SNP-classifier approach with AUCs rising from 0.79 to 0.82 for White, comparable at the intermediate level of 0.63 and 0.62, respectively, and a large increase from 0.64 to 0.92 for Black. Overall, this study demonstrates that the chosen DNA markers and prediction model, particularly the 5-category level; allow skin colour predictions within and between continental regions for the first time, which will serve as a valuable resource for future applications in forensic and anthropologic genetics.
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Affiliation(s)
- Susan Walsh
- Department of Biology, Indiana University Purdue University Indianapolis (IUPUI), Indianapolis, IN, USA.
| | - Lakshmi Chaitanya
- Department of Genetic Identification, Erasmus MC University Medical Centre Rotterdam, Rotterdam, The Netherlands
| | - Krystal Breslin
- Department of Biology, Indiana University Purdue University Indianapolis (IUPUI), Indianapolis, IN, USA
| | - Charanya Muralidharan
- Department of Biology, Indiana University Purdue University Indianapolis (IUPUI), Indianapolis, IN, USA
| | - Agnieszka Bronikowska
- Department of Dermatology, Collegium Medicum of the Jagiellonian University, Kraków, Poland
| | - Ewelina Pospiech
- Faculty of Biology and Earth Sciences, Institute of Zoology, Jagiellonian University, Kraków, Poland
- Malopolska Centre of Biotechnology, Jagiellonian University, Kraków, Poland
| | - Julia Koller
- Department of Genetic Identification, Erasmus MC University Medical Centre Rotterdam, Rotterdam, The Netherlands
| | - Leda Kovatsi
- Laboratory of Forensic Medicine and Toxicology, School of Medicine, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Andreas Wollstein
- Section of Evolutionary Biology, Department of Biology II, University of Munich LMU, Planegg-Martinsried, Germany
| | - Wojciech Branicki
- Malopolska Centre of Biotechnology, Jagiellonian University, Kraków, Poland
- Central Forensic Laboratory of the Police, Warsaw, Poland
| | - Fan Liu
- Department of Genetic Identification, Erasmus MC University Medical Centre Rotterdam, Rotterdam, The Netherlands
- Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Manfred Kayser
- Department of Genetic Identification, Erasmus MC University Medical Centre Rotterdam, Rotterdam, The Netherlands.
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Lambirth KC, Whaley AM, Schlueter JA, Piller KJ, Bost KL. Transcript Polymorphism Rates in Soybean Seed Tissue Are Increased in a Single Transformant of Glycine max. INTERNATIONAL JOURNAL OF PLANT GENOMICS 2016; 2016:1562041. [PMID: 28025595 PMCID: PMC5153505 DOI: 10.1155/2016/1562041] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/29/2016] [Revised: 10/05/2016] [Accepted: 10/17/2016] [Indexed: 06/06/2023]
Abstract
Transgenic crops have been utilized for decades to enhance agriculture and more recently have been applied as bioreactors for manufacturing pharmaceuticals. Recently, we investigated the gene expression profiles of several in-house transgenic soybean events, finding one transformant group to be consistently different from our controls. In the present study, we examined polymorphisms and sequence variations in the exomes of the same transgenic soybean events. We found that the previously dissimilar soybean line also exhibited markedly increased levels of polymorphisms within mRNA transcripts from seed tissue, many of which are classified as gene expression modifiers. The results from this work will direct future investigations to examine novel SNPs controlling traits of great interest for breeding and improving transgenic soybean crops. Further, this study marks the first work to investigate SNP rates in transgenic soybean seed tissues and demonstrates that while transgenesis may induce abundant unanticipated changes in gene expression and nucleotide variation, phenotypes and overall health of the plants examined remained unaltered.
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Affiliation(s)
- Kevin C. Lambirth
- Department of Bioinformatics and Genomics, University of North Carolina at Charlotte, North Carolina Research Campus, Kannapolis, NC 28081, USA
| | - Adam M. Whaley
- Department of Bioinformatics and Genomics, University of North Carolina at Charlotte, Charlotte, NC 28223, USA
| | - Jessica A. Schlueter
- Department of Bioinformatics and Genomics, University of North Carolina at Charlotte, Charlotte, NC 28223, USA
| | - Kenneth J. Piller
- Department of Biological Sciences, University of North Carolina at Charlotte, Charlotte, NC 28223, USA
| | - Kenneth L. Bost
- Department of Biological Sciences, University of North Carolina at Charlotte, Charlotte, NC 28223, USA
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Forensically relevant SNaPshot® assays for human DNA SNP analysis: a review. Int J Legal Med 2016; 131:21-37. [DOI: 10.1007/s00414-016-1490-5] [Citation(s) in RCA: 45] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2016] [Accepted: 10/31/2016] [Indexed: 10/20/2022]
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Broushaki F, Thomas MG, Link V, López S, van Dorp L, Kirsanow K, Hofmanová Z, Diekmann Y, Cassidy LM, Díez-del-Molino D, Kousathanas A, Sell C, Robson HK, Martiniano R, Blöcher J, Scheu A, Kreutzer S, Bollongino R, Bobo D, Davudi H, Munoz O, Currat M, Abdi K, Biglari F, Craig OE, Bradley DG, Shennan S, Veeramah K, Mashkour M, Wegmann D, Hellenthal G, Burger J. Early Neolithic genomes from the eastern Fertile Crescent. Science 2016; 353:499-503. [PMID: 27417496 PMCID: PMC5113750 DOI: 10.1126/science.aaf7943] [Citation(s) in RCA: 144] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2016] [Accepted: 07/05/2016] [Indexed: 01/06/2023]
Abstract
We sequenced Early Neolithic genomes from the Zagros region of Iran (eastern Fertile Crescent), where some of the earliest evidence for farming is found, and identify a previously uncharacterized population that is neither ancestral to the first European farmers nor has contributed substantially to the ancestry of modern Europeans. These people are estimated to have separated from Early Neolithic farmers in Anatolia some 46,000 to 77,000 years ago and show affinities to modern-day Pakistani and Afghan populations, but particularly to Iranian Zoroastrians. We conclude that multiple, genetically differentiated hunter-gatherer populations adopted farming in southwestern Asia, that components of pre-Neolithic population structure were preserved as farming spread into neighboring regions, and that the Zagros region was the cradle of eastward expansion.
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Affiliation(s)
- Farnaz Broushaki
- Palaeogenetics Group, Johannes Gutenberg University Mainz, 55099 Mainz, Germany
| | - Mark G Thomas
- Department of Genetics, Evolution and Environment, University College London, London WC1E 6BT, UK
| | - Vivian Link
- Department of Biology, University of Fribourg, 1700 Fribourg, Switzerland
- Swiss Institute of Bioinformatics, 1015 Lausanne, Switzerland
| | - Saioa López
- Department of Genetics, Evolution and Environment, University College London, London WC1E 6BT, UK
| | - Lucy van Dorp
- Department of Genetics, Evolution and Environment, University College London, London WC1E 6BT, UK
| | - Karola Kirsanow
- Palaeogenetics Group, Johannes Gutenberg University Mainz, 55099 Mainz, Germany
| | - Zuzana Hofmanová
- Palaeogenetics Group, Johannes Gutenberg University Mainz, 55099 Mainz, Germany
| | - Yoan Diekmann
- Department of Genetics, Evolution and Environment, University College London, London WC1E 6BT, UK
| | - Lara M. Cassidy
- Smurfit Institute of Genetics, Trinity College Dublin, Dublin 2, Ireland
| | - David Díez-del-Molino
- Department of Genetics, Evolution and Environment, University College London, London WC1E 6BT, UK
- Department of Bioinformatics and Genetics, Swedish Museum of Natural History, SE-10405, Stockholm, Sweden
| | - Athanasios Kousathanas
- Department of Biology, University of Fribourg, 1700 Fribourg, Switzerland
- Swiss Institute of Bioinformatics, 1015 Lausanne, Switzerland
- Unit of Human Evolutionary Genetics, Institut Pasteur, 75015 Paris, France
| | - Christian Sell
- Palaeogenetics Group, Johannes Gutenberg University Mainz, 55099 Mainz, Germany
| | - Harry K. Robson
- BioArCh, Department of Archaeology, University of York, York, YO10 5YW, UK
| | - Rui Martiniano
- Smurfit Institute of Genetics, Trinity College Dublin, Dublin 2, Ireland
| | - Jens Blöcher
- Palaeogenetics Group, Johannes Gutenberg University Mainz, 55099 Mainz, Germany
| | - Amelie Scheu
- Palaeogenetics Group, Johannes Gutenberg University Mainz, 55099 Mainz, Germany
| | - Susanne Kreutzer
- Palaeogenetics Group, Johannes Gutenberg University Mainz, 55099 Mainz, Germany
| | - Ruth Bollongino
- Palaeogenetics Group, Johannes Gutenberg University Mainz, 55099 Mainz, Germany
| | - Dean Bobo
- Department of Ecology and Evolution, Stony Brook University, Stony Brook, New York, 11794- 5245, USA
| | - Hossein Davudi
- Department of Archaeology, Faculty of Humanities, Tarbiat Modares University, Tehran, Iran
| | - Olivia Munoz
- UMR 7041 ArScAn -VEPMO, Maison de l’Archéologie et de l’Ethnologie, 21 allée de l’Université, 92023 Nanterre, France
| | - Mathias Currat
- Department of Genetics & Evolution-Anthropology Unit, University of Geneva, 1211 Geneva, Switzerland
| | - Kamyar Abdi
- Samuel Jordan Center for Persian Studies and Culture, University of California-lrvine, Irvine, CA 92697-3370, USA
| | - Fereidoun Biglari
- Paleolithic Department, National Museum of Iran, 113617111, Tehran, Iran
| | - Oliver E. Craig
- BioArCh, Department of Archaeology, University of York, York, YO10 5YW, UK
| | - Daniel G Bradley
- Smurfit Institute of Genetics, Trinity College Dublin, Dublin 2, Ireland
| | - Stephen Shennan
- Institute of Archaeology, University College London, London WC1H 0PY, UK
| | - Krishna Veeramah
- Department of Ecology and Evolution, Stony Brook University, Stony Brook, New York, 11794- 5245, USA
| | - Marjan Mashkour
- CNRS/MNHN/SUs – UMR 7209, Archéozoologie et Archéobotanique, Sociétés, Pratiques et Environnements, Département Ecologie et Gestion de la Biodiversité, 55 rue Buffon, 75005 Paris, France
| | - Daniel Wegmann
- Department of Biology, University of Fribourg, 1700 Fribourg, Switzerland
- Swiss Institute of Bioinformatics, 1015 Lausanne, Switzerland
| | - Garrett Hellenthal
- Department of Genetics, Evolution and Environment, University College London, London WC1E 6BT, UK
| | - Joachim Burger
- Palaeogenetics Group, Johannes Gutenberg University Mainz, 55099 Mainz, Germany
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Walsh S, Kayser M. A Practical Guide to the HIrisPlex System: Simultaneous Prediction of Eye and Hair Color from DNA. Methods Mol Biol 2016; 1420:213-231. [PMID: 27259743 DOI: 10.1007/978-1-4939-3597-0_17] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/05/2023]
Abstract
The HIrisPlex system, which consists of two parts, allows the simultaneous prediction of eye and hair color from DNA, e.g., samples extracted from crime scene evidence. The first part is a highly sensitive multiplex genotyping assay consisting of 24 DNA markers using SNaPshot™ chemistry, for analysis on all Capillary Electrophoresis machines. The second part consists of statistical models that respectively establish eye and hair color prediction probabilities from complete and incomplete genotype profiles using parameters generated from large genotype and phenotype databases. This combined prediction tool constitutes the online system freely available to users. Here we provide a practical guide on how to use the HIrisPlex system for forensic and other DNA applications.
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Affiliation(s)
- Susan Walsh
- Department of Biology, Indiana University-Purdue University Indianapolis (IUPUI), 723 W. Michigan St., SL 350, Indianapolis, IN, 46202, USA.
| | - Manfred Kayser
- Department of Forensic Molecular Biology, Erasmus MC University Medical Center Rotterdam, 3000 CB, Rotterdam, The Netherlands
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Huang T, Shu Y, Cai YD. Genetic differences among ethnic groups. BMC Genomics 2015; 16:1093. [PMID: 26690364 PMCID: PMC4687076 DOI: 10.1186/s12864-015-2328-0] [Citation(s) in RCA: 90] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2015] [Accepted: 12/15/2015] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Many differences between different ethnic groups have been observed, such as skin color, eye color, height, susceptibility to some diseases, and response to certain drugs. However, the genetic bases of such differences have been under-investigated. Since the HapMap project, large-scale genotype data from Caucasian, African and Asian population samples have been available. The project found that these populations were located in different areas of the PCA (Principal Component Analysis) plot. However, as an unsupervised method, PCA does not measure the differences in each single nucleotide polymorphism (SNP) among populations. RESULTS We applied an advanced mutual information-based feature selection method to detect associations between SNP status and ethnic groups using the latest HapMap Phase 3 release version 3, which included more sub-populations. A total of 299 SNPs were identified, and they can accurately predicted the ethnicity of all HapMap populations. The 10-fold cross validation accuracy of the SMO (sequential minimal optimization) model on training dataset was 0.901, and the accuracy on independent test dataset was 0.895. CONCLUSIONS In-depth functional analysis of these SNPs and their nearby genes revealed the genetic bases of skin and eye color differences among populations.
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Affiliation(s)
- Tao Huang
- Institute of Health Sciences, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, 200031, P. R. China.
| | - Yang Shu
- Sate Key Laboratory of Biotherapy, Sichuan University, Sichuan, 610041, P. R. China.
| | - Yu-Dong Cai
- College of Life Science, Shanghai University, Shanghai, 200444, P. R. China.
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41
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Is it possible to use Forensic DNA phenotyping in Brazilian population? FORENSIC SCIENCE INTERNATIONAL GENETICS SUPPLEMENT SERIES 2015. [DOI: 10.1016/j.fsigss.2015.09.150] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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42
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Upper Palaeolithic genomes reveal deep roots of modern Eurasians. Nat Commun 2015; 6:8912. [PMID: 26567969 PMCID: PMC4660371 DOI: 10.1038/ncomms9912] [Citation(s) in RCA: 234] [Impact Index Per Article: 26.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2015] [Accepted: 10/15/2015] [Indexed: 12/19/2022] Open
Abstract
We extend the scope of European palaeogenomics by sequencing the genomes of Late Upper Palaeolithic (13,300 years old, 1.4-fold coverage) and Mesolithic (9,700 years old, 15.4-fold) males from western Georgia in the Caucasus and a Late Upper Palaeolithic (13,700 years old, 9.5-fold) male from Switzerland. While we detect Late Palaeolithic-Mesolithic genomic continuity in both regions, we find that Caucasus hunter-gatherers (CHG) belong to a distinct ancient clade that split from western hunter-gatherers ∼45 kya, shortly after the expansion of anatomically modern humans into Europe and from the ancestors of Neolithic farmers ∼25 kya, around the Last Glacial Maximum. CHG genomes significantly contributed to the Yamnaya steppe herders who migrated into Europe ∼3,000 BC, supporting a formative Caucasus influence on this important Early Bronze age culture. CHG left their imprint on modern populations from the Caucasus and also central and south Asia possibly marking the arrival of Indo-Aryan languages.
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43
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Llorente MG, Jones ER, Eriksson A, Siska V, Arthur KW, Arthur JW, Curtis MC, Stock JT, Coltorti M, Pieruccini P, Stretton S, Brock F, Higham T, Park Y, Hofreiter M, Bradley DG, Bhak J, Pinhasi R, Manica A. Ancient Ethiopian genome reveals extensive Eurasian admixture in Eastern Africa. Science 2015; 350:820-2. [DOI: 10.1126/science.aad2879] [Citation(s) in RCA: 230] [Impact Index Per Article: 25.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2015] [Accepted: 09/28/2015] [Indexed: 12/26/2022]
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44
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Pośpiech E, Karłowska-Pik J, Marcińska M, Abidi S, Andersen JD, Berge MVD, Carracedo Á, Eduardoff M, Freire-Aradas A, Morling N, Sijen T, Skowron M, Söchtig J, Syndercombe-Court D, Weiler N, Schneider PM, Ballard D, Børsting C, Parson W, Phillips C, Branicki W. Evaluation of the predictive capacity of DNA variants associated with straight hair in Europeans. Forensic Sci Int Genet 2015; 19:280-288. [PMID: 26414620 DOI: 10.1016/j.fsigen.2015.09.004] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2015] [Revised: 08/10/2015] [Accepted: 09/09/2015] [Indexed: 12/22/2022]
Abstract
DNA-based prediction of hair morphology, defined as straight, curly or wavy hair, could contribute to an improved description of an unknown offender and allow more accurate forensic reconstructions of physical appearance in the field of forensic DNA phenotyping. Differences in scalp hair morphology are significant at the worldwide scale and within Europe. The only genome-wide association study made to date revealed the Trichohyalin gene (TCHH) to be significantly associated with hair morphology in Europeans and reported weaker associations for WNT10A and FRAS1 genes. We conducted a study that centered on six SNPs located in these three genes with a sample of 528 individuals from Poland. The predictive capacity of the candidate DNA variants was evaluated using logistic regression; classification and regression trees; and neural networks, by applying a 10-fold cross validation procedure. Additionally, an independent test set of 142 males from six European populations was used to verify performance of the developed prediction models. Our study confirmed association of rs11803731 (TCHH), rs7349332 (WNT10A) and rs1268789 (FRAS1) SNPs with hair morphology. The combined genotype risk score for straight hair had an odds ratio of 2.7 and these predictors explained ∼ 8.2% of the total variance. The selected three SNPs were found to predict straight hair with a high sensitivity but low specificity when a 10-fold cross validation procedure was applied and the best results were obtained using the neural networks approach (AUC=0.688, sensitivity=91.2%, specificity=23.0%). Application of the neural networks model with 65% probability threshold on an additional test set gave high sensitivity (81.4%) and improved specificity (50.0%) with a total of 78.7% correct calls, but a high non-classification rate (66.9%). The combined TTGGGG SNP genotype for rs11803731, rs7349332, rs1268789 (European frequency=4.5%) of all six straight hair-associated alleles was identified as the best predictor, giving >80% probability of straight hair. Finally, association testing of 44 SNPs previously identified to be associated with male pattern baldness revealed a suggestive association with hair morphology for rs4679955 on 3q25.1. The study results reported provide the starting point for the development of a predictive test for hair morphology in Europeans. More studies are now needed to discover additional determinants of hair morphology to improve the predictive accuracy of this trait in forensic analysis.
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Affiliation(s)
- Ewelina Pośpiech
- Department of Genetics and Evolution, Jagiellonian University, Krakow, Poland.
| | - Joanna Karłowska-Pik
- Faculty of Mathematics and Computer Science, Nicolaus Copernicus University, Toruń, Poland
| | - Magdalena Marcińska
- Institute of Forensic Research, Section of Forensic Genetics, Krakow, Poland
| | - Sarah Abidi
- Faculty of Life Sciences, King's College, London, UK
| | - Jeppe Dyrberg Andersen
- Section of Forensic Genetics, Department of Forensic Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Denmark
| | - Margreet van den Berge
- Department of Human Biological Traces, Netherlands Forensic Institute, The Hague, The Netherlands
| | - Ángel Carracedo
- Forensic Genetics Unit, Institute of Forensic Sciences, Faculty of Medicine, University of Santiago de Compostela, Santiago de Compostela, Spain; Genomic Medicine Group, Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Institute of Health Carlos III, Spain
| | - Mayra Eduardoff
- Institute of Legal Medicine, Medical University of Innsbruck, Innsbruck, Austria
| | - Ana Freire-Aradas
- Forensic Genetics Unit, Institute of Forensic Sciences, Faculty of Medicine, University of Santiago de Compostela, Santiago de Compostela, Spain
| | - Niels Morling
- Section of Forensic Genetics, Department of Forensic Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Denmark
| | - Titia Sijen
- Department of Human Biological Traces, Netherlands Forensic Institute, The Hague, The Netherlands
| | - Małgorzata Skowron
- Department of Dermatology, Medical College of Jagiellonian University, Krakow, Poland
| | - Jens Söchtig
- Forensic Genetics Unit, Institute of Forensic Sciences, Faculty of Medicine, University of Santiago de Compostela, Santiago de Compostela, Spain
| | | | - Natalie Weiler
- Department of Human Biological Traces, Netherlands Forensic Institute, The Hague, The Netherlands
| | - Peter M Schneider
- Institute of Legal Medicine, Medical Faculty, University of Cologne, Cologne, Germany
| | - David Ballard
- Faculty of Life Sciences, King's College, London, UK
| | - Claus Børsting
- Section of Forensic Genetics, Department of Forensic Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Denmark
| | - Walther Parson
- Institute of Legal Medicine, Medical University of Innsbruck, Innsbruck, Austria; Forensic Science Program, The Pennsylvania State University, University Park, Pennsylvania, USA
| | - Chris Phillips
- Forensic Genetics Unit, Institute of Forensic Sciences, Faculty of Medicine, University of Santiago de Compostela, Santiago de Compostela, Spain
| | - Wojciech Branicki
- Department of Genetics and Evolution, Jagiellonian University, Krakow, Poland; Institute of Forensic Research, Section of Forensic Genetics, Krakow, Poland
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Forensic DNA Phenotyping: Predicting human appearance from crime scene material for investigative purposes. Forensic Sci Int Genet 2015; 18:33-48. [DOI: 10.1016/j.fsigen.2015.02.003] [Citation(s) in RCA: 227] [Impact Index Per Article: 25.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2014] [Revised: 01/29/2015] [Accepted: 02/11/2015] [Indexed: 01/17/2023]
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Söchtig J, Phillips C, Maroñas O, Gómez-Tato A, Cruz R, Alvarez-Dios J, de Cal MÁC, Ruiz Y, Reich K, Fondevila M, Carracedo Á, Lareu MV. Exploration of SNP variants affecting hair colour prediction in Europeans. Int J Legal Med 2015; 129:963-75. [PMID: 26162598 DOI: 10.1007/s00414-015-1226-y] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2014] [Accepted: 06/23/2015] [Indexed: 10/23/2022]
Abstract
DNA profiling is a key tool for forensic analysis; however, current methods identify a suspect either by direct comparison or from DNA database searches. In cases with unidentified suspects, prediction of visible physical traits e.g. pigmentation or hair distribution of the DNA donors can provide important probative information. This study aimed to explore single nucleotide polymorphism (SNP) variants for their effect on hair colour prediction. A discovery panel of 63 SNPs consisting of already established hair colour markers from the HIrisPlex hair colour phenotyping assay as well as additional markers for which associations to human pigmentation traits were previously identified was used to develop multiplex assays based on SNaPshot single-base extension technology. A genotyping study was performed on a range of European populations (n = 605). Hair colour phenotyping was accomplished by matching donor's hair to a graded colour category system of reference shades and photography. Since multiple SNPs in combination contribute in varying degrees to hair colour predictability in Europeans, we aimed to compile a compact marker set that could provide a reliable hair colour inference from the fewest SNPs. The predictive approach developed uses a naïve Bayes classifier to provide hair colour assignment probabilities for the SNP profiles of the key SNPs and was embedded into the Snipper online SNP classifier ( http://mathgene.usc.es/snipper/ ). Results indicate that red, blond, brown and black hair colours are predictable with informative probabilities in a high proportion of cases. Our study resulted in the identification of 12 most strongly associated SNPs to hair pigmentation variation in six genes.
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Affiliation(s)
- Jens Söchtig
- Forensic Genetics Unit, Institute of Legal Medicine, University of Santiago de Compostela, A Coruña, Spain
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Zbieć-Piekarska R, Spólnicka M, Kupiec T, Parys-Proszek A, Makowska Ż, Pałeczka A, Kucharczyk K, Płoski R, Branicki W. Development of a forensically useful age prediction method based on DNA methylation analysis. Forensic Sci Int Genet 2015; 17:173-179. [DOI: 10.1016/j.fsigen.2015.05.001] [Citation(s) in RCA: 140] [Impact Index Per Article: 15.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2015] [Revised: 04/10/2015] [Accepted: 05/01/2015] [Indexed: 01/05/2023]
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Skin transcriptome profiles associated with skin color in chickens. PLoS One 2015; 10:e0127301. [PMID: 26030885 PMCID: PMC4452617 DOI: 10.1371/journal.pone.0127301] [Citation(s) in RCA: 42] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2014] [Accepted: 04/14/2015] [Indexed: 12/20/2022] Open
Abstract
Nutritional and medicinal benefits have been attributed to the consumption of tissues from the black-boned chickens in oriental countries. Lueyang black-boned chicken is one of the native chicken breeds. However, some birds may instead have white or lighter skin, which directly causes economic losses every year. Previous studies of pigmentation have focused on a number of genes that may play important roles in coat color regulation. Illumina2000 sequencing technology was used to catalog the global gene expression profiles in the skin of the Lueyang chicken with white versus black skin. A total of 18,608 unigenes were assembled from the reads obtained from the skin of the white and black chickens. A total of 649 known genes were differentially expressed in the black versus white chickens, with 314 genes that were up regulated and 335 genes that were down-regulated, and a total of 162 novel genes were differentially expressed in the black versus white chickens, consisting of 73 genes that were up-regulated (including 4 highly expressed genes that were expressed exclusively in the skin of the black chickens) and 89 genes that were down-regulated. There were also a total of 8 known coat-color genes expressed in previous studies (ASIP, TYR, KIT, TYRP1, OCA2, KITLG, MITF and MC1R). In this study, 4 of which showed greater expression in the black chickens, and several were up-regulated, such as KIT, ASIP, TYR and OCA2. To our surprise, KITLG, MITF and MC1R showed no significant difference in expression between the black- and white-skinned chickens, and the expression of TYRP1 was not detected in either skin color. The expression of ASIP, TYR, KIT, TYRP1, OCA2, KITLG, MITF and MC1R was validated by real-time quantitative polymerase chain reaction (qPCR), and the results of the qPCR were consistent with the RNA-seq. This study provides several candidate genes that may be associated with the development of black versus white skin. More importantly, the fact that the MC1R gene showed no significant difference in expression between the black and white chickens is of particular interest for future studies that aim to elucidate its functional role in the regulation of skin color.
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Marcińska M, Pośpiech E, Abidi S, Andersen JD, van den Berge M, Carracedo Á, Eduardoff M, Marczakiewicz-Lustig A, Morling N, Sijen T, Skowron M, Söchtig J, Syndercombe-Court D, Weiler N, Schneider PM, Ballard D, Børsting C, Parson W, Phillips C, Branicki W. Evaluation of DNA variants associated with androgenetic alopecia and their potential to predict male pattern baldness. PLoS One 2015; 10:e0127852. [PMID: 26001114 PMCID: PMC4441445 DOI: 10.1371/journal.pone.0127852] [Citation(s) in RCA: 43] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2015] [Accepted: 04/20/2015] [Indexed: 11/28/2022] Open
Abstract
Androgenetic alopecia, known in men as male pattern baldness (MPB), is a very conspicuous condition that is particularly frequent among European men and thus contributes markedly to variation in physical appearance traits amongst Europeans. Recent studies have revealed multiple genes and polymorphisms to be associated with susceptibility to MPB. In this study, 50 candidate SNPs for androgenetic alopecia were analyzed in order to verify their potential to predict MPB. Significant associations were confirmed for 29 SNPs from chromosomes X, 1, 5, 7, 18 and 20. A simple 5-SNP prediction model and an extended 20-SNP model were developed based on a discovery panel of 305 males from various European populations fitting one of two distinct phenotype categories. The first category consisted of men below 50 years of age with significant baldness and the second; men aged 50 years or older lacking baldness. The simple model comprised the five best predictors: rs5919324 near AR, rs1998076 in the 20p11 region, rs929626 in EBF1, rs12565727 in TARDBP and rs756853 in HDAC9. The extended prediction model added 15 SNPs from five genomic regions that improved overall prevalence-adjusted predictive accuracy measured by area under the receiver characteristic operating curve (AUC). Both models were evaluated for predictive accuracy using a test set of 300 males reflecting the general European population. Applying a 65% probability threshold, high prediction sensitivity of 87.1% but low specificity of 42.4% was obtained in men aged <50 years. In men aged ≥50, prediction sensitivity was slightly lower at 67.7% while specificity reached 90%. Overall, the AUC=0.761 calculated for men at or above 50 years of age indicates these SNPs offer considerable potential for the application of genetic tests to predict MPB patterns, adding a highly informative predictive system to the emerging field of forensic analysis of externally visible characteristics.
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Affiliation(s)
- Magdalena Marcińska
- Institute of Forensic Research, Section of Forensic Genetics, Krakow, Poland
| | - Ewelina Pośpiech
- Department of Genetics and Evolution, Jagiellonian University, Krakow, Poland
| | - Sarah Abidi
- Faculty of Life Sciences, King’s College, London, United Kingdom
| | - Jeppe Dyrberg Andersen
- Section of Forensic Genetics, Department of Forensic Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Denmark
| | - Margreet van den Berge
- Department of Human Biological Traces, Netherlands Forensic Institute, The Hague, The Netherlands
| | - Ángel Carracedo
- Forensic Genetics Unit, Institute of Forensic Medicine, Faculty of Medicine, University of Santiago de Compostela, Santiago de Compostela, Spain
- Genomic Medicine Group, Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Institute of Health Carlos III, Madrid, Spain
| | - Mayra Eduardoff
- Institute of Legal Medicine, Medical University of Innsbruck, Innsbruck, Austria
| | | | - Niels Morling
- Section of Forensic Genetics, Department of Forensic Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Denmark
| | - Titia Sijen
- Department of Human Biological Traces, Netherlands Forensic Institute, The Hague, The Netherlands
| | - Małgorzata Skowron
- Department of Dermatology, Medical College of Jagiellonian University, Krakow, Poland
| | - Jens Söchtig
- Forensic Genetics Unit, Institute of Forensic Medicine, Faculty of Medicine, University of Santiago de Compostela, Santiago de Compostela, Spain
| | | | - Natalie Weiler
- Department of Human Biological Traces, Netherlands Forensic Institute, The Hague, The Netherlands
| | | | - Peter M. Schneider
- Institute of Legal Medicine, Medical Faculty, University of Cologne, Cologne, Germany
| | - David Ballard
- Faculty of Life Sciences, King’s College, London, United Kingdom
| | - Claus Børsting
- Section of Forensic Genetics, Department of Forensic Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Denmark
| | - Walther Parson
- Institute of Legal Medicine, Medical University of Innsbruck, Innsbruck, Austria
- Forensic Science Program, The Pennsylvania State University, University Park, Pennsylvania, United States of America
| | - Chris Phillips
- Forensic Genetics Unit, Institute of Forensic Medicine, Faculty of Medicine, University of Santiago de Compostela, Santiago de Compostela, Spain
| | - Wojciech Branicki
- Institute of Forensic Research, Section of Forensic Genetics, Krakow, Poland
- Department of Genetics and Evolution, Jagiellonian University, Krakow, Poland
- * E-mail:
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Mushailov V, Rodriguez SA, Budimlija ZM, Prinz M, Wurmbach E. Assay Development and Validation of an 8-SNP Multiplex Test to Predict Eye and Skin Coloration. J Forensic Sci 2015; 60:990-1000. [PMID: 25782558 DOI: 10.1111/1556-4029.12758] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2013] [Revised: 03/10/2014] [Accepted: 07/08/2014] [Indexed: 01/09/2023]
Abstract
Identifying human remains is one of the many responsibilities of forensic scientists. An eye- and skin-color predictor translates genotypic information into phenotypic description. Eight single nucleotide polymorphisms (SNPs) are utilized for this predictor, five for eye, and six for skin coloration. Here, we describe the development and validation of an 8-SNP multiplex assay that consists of a multiplex PCR, followed by a multiplexed single-base primer extension reaction generating fluorescently labeled oligonucleotides of distinct length that are detected by multicolor capillary electrophoresis. Validation of this assay included tests for reproducibility, reliability, sensitivity, species specificity, its performance on degraded DNA, and on forensic samples. It can be concluded that the 8-SNP multiplex assay is robust and can be used on challenging samples, including bones, to reliably determine the genotypes to predict eye and skin color of individuals. This information can assist in the identification of human remains and missing persons.
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Affiliation(s)
- Vladimir Mushailov
- Office of Chief Medical Examiner of the City of New York, Department of Forensic Biology, New York, NY
| | - Stephanie A Rodriguez
- Office of Chief Medical Examiner of the City of New York, Department of Forensic Biology, New York, NY
| | - Zoran M Budimlija
- Office of Chief Medical Examiner of the City of New York, Department of Forensic Biology, New York, NY
| | | | - Elisa Wurmbach
- Office of Chief Medical Examiner of the City of New York, Department of Forensic Biology, New York, NY
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