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Freire-Aradas A, Tomsia M, Piniewska-Róg D, Ambroa-Conde A, Casares de Cal MA, Pisarek A, Gómez-Tato A, Álvarez-Dios J, Pośpiech E, Parson W, Kayser M, Phillips C, Branicki W. Development of an epigenetic age predictor for costal cartilage with a simultaneous somatic tissue differentiation system. Forensic Sci Int Genet 2023; 67:102936. [PMID: 37783021 DOI: 10.1016/j.fsigen.2023.102936] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2023] [Revised: 09/13/2023] [Accepted: 09/27/2023] [Indexed: 10/04/2023]
Abstract
Age prediction from DNA has been a topic of interest in recent years due to the promising results obtained when using epigenetic markers. Since DNA methylation gradually changes across the individual's lifetime, prediction models have been developed accordingly for age estimation. The tissue-dependence for this biomarker usually necessitates the development of tissue-specific age prediction models, in this way, multiple models for age inference have been constructed for the most commonly encountered forensic tissues (blood, oral mucosa, semen). The analysis of skeletal remains has also been attempted and prediction models for bone have now been reported. Recently, the VISAGE Enhanced Tool was developed for the simultaneous DNA methylation analysis of 8 age-correlated loci using targeted high-throughput sequencing. It has been shown that this method is compatible with epigenetic age estimation models for blood, buccal cells, and bone. Since when dealing with decomposed cadavers or postmortem samples, cartilage samples are also an important biological source, an age prediction model for cartilage has been generated in the present study based on methylation data collected using the VISAGE Enhanced Tool. In this way, we have developed a forensic cartilage age prediction model using a training set composed of 109 samples (19-74 age range) based on DNA methylation levels from three CpGs in FHL2, TRIM59 and KLF14, using multivariate quantile regression which provides a mean absolute error (MAE) of ± 4.41 years. An independent testing set composed of 72 samples (19-75 age range) was also analyzed and provided an MAE of ± 4.26 years. In addition, we demonstrate that the 8 VISAGE markers, comprising EDARADD, TRIM59, ELOVL2, MIR29B2CHG, PDE4C, ASPA, FHL2 and KLF14, can be used as tissue prediction markers which provide reliable blood, buccal cells, bone, and cartilage differentiation using a developed multinomial logistic regression model. A training set composed of 392 samples (n = 87 blood, n = 86 buccal cells, n = 110 bone and n = 109 cartilage) was used for building the model (correct classifications: 98.72%, sensitivity: 0.988, specificity: 0.996) and validation was performed using a testing set composed of 192 samples (n = 38 blood, n = 36 buccal cells, n = 46 bone and n = 72 cartilage) showing similar predictive success to the training set (correct classifications: 97.4%, sensitivity: 0.968, specificity: 0.991). By developing both a new cartilage age model and a tissue differentiation model, our study significantly expands the use of the VISAGE Enhanced Tool while increasing the amount of DNA methylation-based information obtained from a single sample and a single forensic laboratory analysis. Both models have been placed in the open-access Snipper forensic classification website.
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Affiliation(s)
- A Freire-Aradas
- Forensic Genetics Unit, Institute of Forensic Sciences, University of Santiago de Compostela, Spain.
| | - M Tomsia
- Department of Forensic Medicine and Forensic Toxicology, Medical University of Silesia, Katowice, Poland
| | - D Piniewska-Róg
- Department of Forensic Medicine, Jagiellonian University Medical College, Kraków, Poland
| | - A Ambroa-Conde
- Forensic Genetics Unit, Institute of Forensic Sciences, University of Santiago de Compostela, Spain
| | - M A Casares de Cal
- CITMAga (Center for Mathematical Research and Technology of Galicia), University of Santiago de Compostela, Spain
| | - A Pisarek
- Institute of Zoology and Biomedical Research, Jagiellonian University, Kraków, Poland
| | - A Gómez-Tato
- CITMAga (Center for Mathematical Research and Technology of Galicia), University of Santiago de Compostela, Spain
| | - J Álvarez-Dios
- Faculty of Mathematics, University of Santiago de Compostela, Spain
| | - E Pośpiech
- Malopolska Centre of Biotechnology, Jagiellonian University, Kraków, Poland; Department of Forensic Genetics, Pomeranian Medical University in Szczecin, Poland
| | - W Parson
- Institute of Legal Medicine, Medical University of Innsbruck, Austria; Forensic Science Program, Pennsylvania State University, PA, USA
| | - M Kayser
- Department of Forensic Molecular Biology, Erasmus MC University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - C Phillips
- Forensic Genetics Unit, Institute of Forensic Sciences, University of Santiago de Compostela, Spain
| | - W Branicki
- Institute of Zoology and Biomedical Research, Jagiellonian University, Kraków, Poland; Institute of Forensic Research, Kraków, Poland.
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Ruiz-Ramírez J, de la Puente M, Xavier C, Ambroa-Conde A, Álvarez-Dios J, Freire-Aradas A, Mosquera-Miguel A, Ralf A, Amory C, Katsara MA, Khellaf T, Nothnagel M, Cheung EYY, Gross TE, Schneider PM, Uacyisrael J, Oliveira S, Klautau-Guimarães MDN, Carvalho-Gontijo C, Pośpiech E, Branicki W, Parson W, Kayser M, Carracedo A, Lareu MV, Phillips C. Development and evaluations of the ancestry informative markers of the VISAGE Enhanced Tool for Appearance and Ancestry. Forensic Sci Int Genet 2023; 64:102853. [PMID: 36917866 DOI: 10.1016/j.fsigen.2023.102853] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2022] [Revised: 02/15/2023] [Accepted: 03/02/2023] [Indexed: 03/07/2023]
Abstract
The VISAGE Enhanced Tool for Appearance and Ancestry (ET) has been designed to combine markers for the prediction of bio-geographical ancestry plus a range of externally visible characteristics into a single massively parallel sequencing (MPS) assay. We describe the development of the ancestry panel markers used in ET, and the enhanced analyses they provide compared to previous MPS-based forensic ancestry assays. As well as established autosomal single nucleotide polymorphisms (SNPs) that differentiate sub-Saharan African, European, East Asian, South Asian, Native American, and Oceanian populations, ET includes autosomal SNPs able to efficiently differentiate populations from Middle East regions. The ability of the ET autosomal ancestry SNPs to distinguish Middle East populations from other continentally defined population groups is such that characteristic patterns for this region can be discerned in genetic cluster analysis using STRUCTURE. Joint cluster membership estimates showing individual co-ancestry that signals North African or East African origins were detected, or cluster patterns were seen that indicate origins from central and Eastern regions of the Middle East. In addition to an augmented panel of autosomal SNPs, ET includes panels of 85 Y-SNPs, 16 X-SNPs and 21 autosomal Microhaplotypes. The Y- and X-SNPs provide a distinct method for obtaining extra detail about co-ancestry patterns identified in males with admixed backgrounds. This study used the 1000 Genomes admixed African and admixed American sample sets to fully explore these enhancements to the analysis of individual co-ancestry. Samples from urban and rural Brazil with contrasting distributions of African, European, and Native American co-ancestry were also studied to gauge the efficiency of combining Y- and X-SNP data for this purpose. The small panel of Microhaplotypes incorporated in ET were selected because they showed the highest levels of haplotype diversity amongst the seven population groups we sought to differentiate. Microhaplotype data was not formally combined with single-site SNP genotypes to analyse ancestry. However, the haplotype sequence reads obtained with ET from these loci creates an effective system for de-convoluting two-contributor mixed DNA. We made simple mixture experiments to demonstrate that when the contributors have different ancestries and the mixture ratios are imbalanced (i.e., not 1:1 mixtures) the ET Microhaplotype panel is an informative system to infer ancestry when this differs between the contributors.
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Affiliation(s)
- J Ruiz-Ramírez
- Forensic Genetics Unit, Institute of Forensic Sciences, University of Santiago de Compostela, 15782 Santiago de Compostela, Spain
| | - M de la Puente
- Forensic Genetics Unit, Institute of Forensic Sciences, University of Santiago de Compostela, 15782 Santiago de Compostela, Spain.
| | - C Xavier
- Institute of Legal Medicine, Medical University of Innsbruck, 6020 Innsbruck, Austria
| | - A Ambroa-Conde
- Forensic Genetics Unit, Institute of Forensic Sciences, University of Santiago de Compostela, 15782 Santiago de Compostela, Spain
| | - J Álvarez-Dios
- Faculty of Mathematics, University of Santiago de Compostela, 15705 Santiago de Compostela, Spain
| | - A Freire-Aradas
- Forensic Genetics Unit, Institute of Forensic Sciences, University of Santiago de Compostela, 15782 Santiago de Compostela, Spain
| | - A Mosquera-Miguel
- Forensic Genetics Unit, Institute of Forensic Sciences, University of Santiago de Compostela, 15782 Santiago de Compostela, Spain
| | - A Ralf
- Department of Genetic Identification, Erasmus MC, University Medical Center Rotterdam, 3015 CN Rotterdam, South Holland, the Netherlands
| | - C Amory
- Institute of Legal Medicine, Medical University of Innsbruck, 6020 Innsbruck, Austria
| | - M A Katsara
- Cologne Center for Genomics, University of Cologne, 50823 Cologne, Germany
| | - T Khellaf
- Cologne Center for Genomics, University of Cologne, 50823 Cologne, Germany
| | - M Nothnagel
- Cologne Center for Genomics, University of Cologne, 50823 Cologne, Germany; University Hospital Cologne, 50937 Cologne, Germany
| | - E Y Y Cheung
- Institute of Legal Medicine, Faculty of Medicine and University Clinic, University of Cologne, 50823 Cologne, Germany
| | - T E Gross
- Institute of Legal Medicine, Faculty of Medicine and University Clinic, University of Cologne, 50823 Cologne, Germany
| | - P M Schneider
- Institute of Legal Medicine, Faculty of Medicine and University Clinic, University of Cologne, 50823 Cologne, Germany
| | - J Uacyisrael
- Fiji Police Forensic Biology and DNA Laboratory, Nasova, Suva, Fiji
| | - S Oliveira
- Departamento Genética e Morfologia, Universidade de Brasília, Brasília, DF, Brazil
| | | | - C Carvalho-Gontijo
- Departamento Genética e Morfologia, Universidade de Brasília, Brasília, DF, Brazil
| | - E Pośpiech
- Malopolska Centre of Biotechnology, Jagiellonian University, 30-387 Kraków, Poland
| | - W Branicki
- Institute of Zoology and Biomedical Research, Jagiellonian University, 30-387 Kraków, Poland
| | - W Parson
- Institute of Legal Medicine, Medical University of Innsbruck, 6020 Innsbruck, Austria; Forensic Science Program, The Pennsylvania State University, University Park, State College, PA 16802, USA
| | - M Kayser
- Department of Genetic Identification, Erasmus MC, University Medical Center Rotterdam, 3015 CN Rotterdam, South Holland, the Netherlands
| | - A Carracedo
- Fundación Pública Galega de Medicina Xenómica (FPGMX), Instituto de Investigación Sanitaria (IDIS),15706 Santiago de Compostela, Spain; Genomics Group, CIBERER, CIMUS, University of Santiago de Compostela, Spain
| | - M V Lareu
- Forensic Genetics Unit, Institute of Forensic Sciences, University of Santiago de Compostela, 15782 Santiago de Compostela, Spain
| | - C Phillips
- Forensic Genetics Unit, Institute of Forensic Sciences, University of Santiago de Compostela, 15782 Santiago de Compostela, Spain.
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Liu X, Kayser M, Kushner SA, Tiemeier H, Rivadeneira F, Jaddoe VWV, Niessen WJ, Wolvius EB, Roshchupkin GV. Association between prenatal alcohol exposure and children's facial shape: a prospective population-based cohort study. Hum Reprod 2023; 38:961-972. [PMID: 36791805 PMCID: PMC10152169 DOI: 10.1093/humrep/dead006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2022] [Revised: 12/15/2022] [Indexed: 02/17/2023] Open
Abstract
STUDY QUESTION Is there an association between low-to-moderate levels of prenatal alcohol exposure (PAE) and children's facial shape? SUMMARY ANSWER PAE before and during pregnancy, even at low level (<12 g of alcohol per week), was found associated with the facial shape of children, and these associations were found attenuated as children grow older. WHAT IS KNOWN ALREADY High levels of PAE during pregnancy can have significant adverse associations with a child's health development resulting in recognizably abnormal facial development. STUDY DESIGN, SIZE, DURATION This study was based on the Generation R Study, a prospective cohort from fetal life onwards with maternal and offspring data. We analyzed children 3-dimensional (3D) facial images taken at ages 9 (n = 3149) and 13 years (n = 2477) together with the data of maternal alcohol consumption. PARTICIPANTS/MATERIALS, SETTING, METHODS We defined six levels of PAE based on the frequency and dose of alcohol consumption and defined three tiers based on the timing of alcohol exposure of the unborn child. For the image analysis, we used 3D graph convolutional networks for non-linear dimensionality reduction, which compressed the high-dimensional images into 200 traits representing facial morphology. These 200 traits were used for statistical analysis to search for associations with PAE. Finally, we generated heatmaps to display the facial phenotypes associated with PAE. MAIN RESULTS AND THE ROLE OF CHANCE The results of the linear regression in the 9-year-old children survived correction for multiple testing with false discovery rate (FDR). In Tier 1 where we examined PAE only before pregnancy (exposed N = 278, unexposed N = 760), we found three traits survived FDR correction. The lowest FDR-P is 1.7e-05 (beta = 0.021, SE = 0.0040) in Trait #29; In Tier 2b where we examine any PAE during first trimester (exposed N = 756; unexposed N = 760), we found eight traits survived FDR correction. The lowest FDR-P is 9.0e-03 (beta = -0.013, SE = 0.0033) in Trait #139. Moreover, more statistically significant facial traits were found in higher levels of PAE. No FDR-significant results were found in the 13-year-old children. We map these significant traits back to the face, and found the most common detected facial phenotypes included turned-up nose tip, shortened nose, turned-out chin, and turned-in lower-eyelid-related regions. LIMITATIONS, REASONS FOR CAUTION We had no data for alcohol consumption more than three months prior to pregnancy and thus do not know if maternal drinking had chronic effects. The self-reported questionnaire might not reflect accurate alcohol measurements because mothers may have denied their alcohol consumption. WIDER IMPLICATIONS OF THE FINDINGS Our results imply that facial morphology, such as quantified by the approach we proposed here, can be used as a biomarker in further investigations. Furthermore, our study suggests that for women who are pregnant or want to become pregnant soon, should quit alcohol consumption several months before conception and completely during pregnancy to avoid adverse health outcomes in the offspring. STUDY FUNDING/COMPETING INTEREST(S) This work was supported by Erasmus Medical Centre, Rotterdam, the Erasmus University Rotterdam, and the Netherlands Organization for Health Research. V.W.V.J. reports receipt of funding from the Netherlands Organization for Health Research (ZonMw 90700303). W.J.N. is a founder, a scientific lead, and a shareholder of Quantib BV. TRIAL REGISTRATION NUMBER N/A.
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Affiliation(s)
- X Liu
- Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Center Rotterdam, Rotterdam, the Netherlands
- Department of Oral and Maxillofacial Surgery, Erasmus MC University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - M Kayser
- Department of Genetic Identification, Erasmus MC University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - S A Kushner
- Department of Psychiatry, Erasmus MC University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - H Tiemeier
- Department of Social and Behavioral Science, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - F Rivadeneira
- Department of Internal Medicine, Erasmus MC University Medical Center, Rotterdam, the Netherlands
- The Generation R Study Group, Erasmus MC University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - V W V Jaddoe
- The Generation R Study Group, Erasmus MC University Medical Center Rotterdam, Rotterdam, the Netherlands
- Department of Pediatrics, Erasmus MC University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - W J Niessen
- Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Center Rotterdam, Rotterdam, the Netherlands
- Faculty of Applied Sciences, Delft University of Technology, Delft, the Netherlands
| | - E B Wolvius
- Department of Oral and Maxillofacial Surgery, Erasmus MC University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - G V Roshchupkin
- Correspondence address. Department of Radiology and Nuclear Medicine, Erasmus University Medical Center Rotterdam, Room Na25-06. P.O. Box 2040, 3000 CA Rotterdam, the Netherlands. E-mail:
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Xavier C, de la Puente M, Mosquera-Miguel A, Freire-Aradas A, Kalamara V, Ralf A, Revoir A, Gross T, Schneider P, Ames C, Hohoff C, Phillips C, Kayser M, Parson W. Development and inter-laboratory evaluation of the VISAGE Enhanced Tool for Appearance and Ancestry inference from DNA. Forensic Sci Int Genet 2022; 61:102779. [DOI: 10.1016/j.fsigen.2022.102779] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2022] [Revised: 09/14/2022] [Accepted: 09/18/2022] [Indexed: 11/30/2022]
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Mekić S, Wigmann C, Gunn DA, Jacobs LC, Kayser M, Schikowski T, Nijsten T, Pardo LM. Genetics of facial telangiectasia in the Rotterdam Study: a genome-wide association study and candidate gene approach. J Eur Acad Dermatol Venereol 2020; 35:749-754. [PMID: 33095951 DOI: 10.1111/jdv.17014] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2020] [Accepted: 10/05/2020] [Indexed: 12/27/2022]
Abstract
BACKGROUND The severity of facial telangiectasia or red veins is associated with many lifestyle factors. However, the genetic predisposition remains unclear. OBJECTIVES We performed a genome-wide association study (GWAS) on facial telangiectasia in the Rotterdam Study (RS) and tested for replication in two independent cohorts. Additionally, a candidate gene approach with known pigmentation genes was performed. METHODS Facial telangiectasia were extracted from standardized facial photographs (collected from 2010-2013) of 2842 northwestern European participants (median age 66.9, 56.8% female) from the RS. Our GWAS top hits (P-value <10-6 ) were tested for replication in 460 elderly women of the SALIA cohort and in 576 additional men and women of the RS. Associations of top single nucleotide polymorphisms (SNPs) with expression quantitative trait loci (eQTL) in various tissues were reviewed (GTEx database) alongside phenotype associations in the UK biobank database. SNP-based associations between known pigmentation genes and facial telangiectasia were tested. Conditional analysis on skin colour was additionally performed. RESULTS Our most significant GWAS signal was rs4417318 (P-value 5.38*10-7 ), an intergenic SNP on chromosome 12 mapping to the SLC16A7 gene. Other suggestive SNPs tagged genes ZNF211, ZSCAN4, ICOS and KCNN3; SNP eQTLs and phenotype associations tagged links to the vascular system. However, the top signals did not pass significance in the two replication cohorts. The pigmentation genes KIAA0930, SLCA45A2 and MC1R, were significantly associated with telangiectasia in a candidate gene approach but not independently of skin colour. CONCLUSION In this GWAS on telangiectasia in a northwestern European population, no genome-wide significant SNPs were found, although suggestive signals indicate genes involved in the vascular system might be involved in telangiectasia. Significantly associated pigmentation genes underline the link between skin colour and telangiectasia.
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Affiliation(s)
- S Mekić
- Department of Dermatology, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - C Wigmann
- IUF - Leibniz Research Institute for Environmental Medicine, Düsseldorf, Germany
| | - D A Gunn
- Colworth Science Park, Unilever Research and Development, Sharnbrook, UK
| | - L C Jacobs
- Department of Dermatology, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - M Kayser
- Department of Genetic Identification, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - T Schikowski
- IUF - Leibniz Research Institute for Environmental Medicine, Düsseldorf, Germany
| | - T Nijsten
- Department of Dermatology, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - L M Pardo
- Department of Dermatology, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands
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Pardo L, Hamer M, Liu F, Velthuis P, Kayser M, Gunn D, Nijsten T. A study of skin changes that characterise different types of facial ageing. Br J Dermatol 2020. [DOI: 10.1111/bjd.19076] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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Pardo L, Hamer M, Liu F, Velthuis P, Kayser M, Gunn D, Nijsten T. 表征不同类型面部衰老的皮肤变化研究. Br J Dermatol 2020. [DOI: 10.1111/bjd.19088] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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Mekić S, Hamer M, Wigmann C, Gunn D, Kayser M, Jacobs L, Schikowski T, Nijsten T, Pardo L. Epidemiology and determinants of facial telangiectasia: a cross‐sectional study. J Eur Acad Dermatol Venereol 2020; 34:821-826. [DOI: 10.1111/jdv.15996] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2019] [Accepted: 09/04/2019] [Indexed: 01/01/2023]
Affiliation(s)
- S. Mekić
- Department of Dermatology Erasmus MC University Medical Center Rotterdam Rotterdam The Netherlands
| | - M.A. Hamer
- Department of Dermatology Erasmus MC University Medical Center Rotterdam Rotterdam The Netherlands
| | - C. Wigmann
- IUF – Leibniz Research Institute for Environmental Medicine Düsseldorf Germany
| | - D.A. Gunn
- Unilever Research and Development Colworth Science Park Sharnbrook UK
| | - M. Kayser
- Department of Genetic Identification Erasmus MC University Medical Center Rotterdam Rotterdam The Netherlands
| | - L.C. Jacobs
- Department of Dermatology Erasmus MC University Medical Center Rotterdam Rotterdam The Netherlands
| | - T. Schikowski
- IUF – Leibniz Research Institute for Environmental Medicine Düsseldorf Germany
| | - T. Nijsten
- Department of Dermatology Erasmus MC University Medical Center Rotterdam Rotterdam The Netherlands
| | - L.M. Pardo
- Department of Dermatology Erasmus MC University Medical Center Rotterdam Rotterdam The Netherlands
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Pardo LM, Hamer MA, Liu F, Velthuis P, Kayser M, Gunn DA, Nijsten T. Principal component analysis of seven skin-ageing features identifies three main types of skin ageing. Br J Dermatol 2019; 182:1379-1387. [PMID: 31519034 DOI: 10.1111/bjd.18523] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/09/2019] [Indexed: 11/27/2022]
Abstract
BACKGROUND The underlying phenotypic correlations between wrinkles, pigmented spots (PS), telangiectasia and other related facial-ageing subphenotypes are not well understood. OBJECTIVES To analyse the underlying phenotypic correlation structure between seven features for facial ageing: global wrinkling, perceived age (PA), Griffiths photodamage grading, PS, telangiectasia, actinic keratosis (AK) and keratinocyte cancer (KC). METHODS This was a cross-sectional study. Facial photographs and a full-body skin examination were used. We used principal component analysis (PCA) to derive principal components (PCs) of common variation between the features. We performed multivariable linear regressions between age, sex, body mass index, smoking and ultraviolet radiation exposure and the PC scores derived from PCA. We also tested the association between the main PC scores and 140 single-nucleotide polymorphisms (SNPs) previously associated with skin-ageing phenotypes. RESULTS We analysed data from 1790 individuals with complete data on seven features of skin ageing. Three main PCs explained 73% of the total variance of the ageing phenotypes: a hypertrophic/wrinkling component (PC1: global wrinkling, PA and Griffiths grading), an atrophic/skin colour component (PC2: PS and telangiectasia) and a cancerous component (PC3: AK and KC). The associations between lifestyle and host factors differed per PC. The strength of SNP associations also differed per component with the most SNP associations found with the atrophic component [e.g. the IRF4 SNP (rs12203592); P-value = 1·84 × 10-22 ]. CONCLUSIONS Using a hypothesis-free approach, we identified three major underlying phenotypes associated with extrinsic ageing. Associations between determinants for skin ageing differed in magnitude and direction per component. What's already known about this topic? Facial ageing is a complex phenotype consisting of different features including wrinkles, pigmented changes, telangiectasia and cancerous-related growths; it is not clear how these phenotypes are related to each other and to other phenotypes. A few studies have described two main clinical phenotypes for photoageing, namely hypertrophic ageing and atrophic ageing, which have been based solely on the clinical assessment of photoageing characteristics. What does this study add? We are the first to use epidemiology data to identify three main components associated with photoageing, namely a hypertrophic component (global wrinkling; perceived age; Griffiths grading) and atrophic component (pigmented spots; telangiectasia) and a cancer component (actinic keratosis; keratinocyte cancer). Association analysis showed different effects and direction of environmental determinants and genetic associations with the three components, with the most significant gene variants associations found for the atrophic component.
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Affiliation(s)
- L M Pardo
- Department of Dermatology, Erasmus MC University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - M A Hamer
- Department of Dermatology, Erasmus MC University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - F Liu
- Department ofGenetic Identification, Erasmus MC University Medical Center Rotterdam, Rotterdam, the Netherlands.,Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Beijing, China
| | - P Velthuis
- Department of Dermatology, Erasmus MC University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - M Kayser
- Department ofGenetic Identification, Erasmus MC University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - D A Gunn
- Unilever R&D, Colworth Science Park, Sharnbrook, Bedfordshire, MK44 1LQ, U.K
| | - T Nijsten
- Department of Dermatology, Erasmus MC University Medical Center Rotterdam, Rotterdam, the Netherlands
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Gül A, de Jong MA, de Gijt JP, Wolvius EB, Kayser M, Böhringer S, Koudstaal MJ. Three-dimensional soft tissue effects of mandibular midline distraction and surgically assisted rapid maxillary expansion: an automatic stereophotogrammetry landmarking analysis. Int J Oral Maxillofac Surg 2018; 48:629-634. [PMID: 30459065 DOI: 10.1016/j.ijom.2018.10.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2018] [Revised: 07/14/2018] [Accepted: 10/23/2018] [Indexed: 10/27/2022]
Abstract
Studies on mandibular midline distraction (MMD) are mostly performed using conventional research methods. Concerning surgically assisted rapid maxillary expansion (SARME), more research is conducted using three-dimensional (3D) techniques. Research on bimaxillary expansion, the combination of MMD and SARME, is reported sparsely. The main objective of this study was to provide a 3D evaluation of soft tissue effects following SARME and/or MMD. Patients who underwent SARME and/or MMD between 2008 and 2013 were included. Stereophotogrammetry was undertaken at the following time points: preoperative (T1), immediately post-distraction (T2), 1year postoperative (T3). An automatic 3D facial landmarking algorithm using two-dimensional Gabor wavelets was applied for the analysis. Twenty patients who had undergone SARME were included, 12 of whom had undergone bimaxillary expansion. Age at the time of surgery ranged from 16 to 47 years. There was a significant downward displacement of soft tissue pogonion. Furthermore, there was a significant mean increase of 2.20mm in inter-alar width and a non-significant mean increase of 1.77mm in inter-alar curvature point width. In conclusion, automatic stereophotogrammetry landmarking analysis of soft tissue effects showed downward displacement of soft tissue pogonion following bimaxillary expansion and transverse widening of the inter-alar width and a tendency towards an increase in inter-alar curvature point width after SARME.
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Affiliation(s)
- A Gül
- Department of Oral and Maxillofacial Surgery, Erasmus MC, University Medical Center Rotterdam, The Netherlands.
| | - M A de Jong
- Department of Oral and Maxillofacial Surgery, Erasmus MC, University Medical Center Rotterdam, The Netherlands; Department of Genetic Identification, Erasmus MC, University Medical Center Rotterdam, The Netherlands; Department of Biomedical Data Science, Leiden University Medical Center, Leiden, The Netherlands
| | - J P de Gijt
- Department of Oral and Maxillofacial Surgery, Erasmus MC, University Medical Center Rotterdam, The Netherlands
| | - E B Wolvius
- Department of Oral and Maxillofacial Surgery, Erasmus MC, University Medical Center Rotterdam, The Netherlands
| | - M Kayser
- Department of Genetic Identification, Erasmus MC, University Medical Center Rotterdam, The Netherlands
| | - S Böhringer
- Department of Biomedical Data Science, Leiden University Medical Center, Leiden, The Netherlands
| | - M J Koudstaal
- Department of Oral and Maxillofacial Surgery, Erasmus MC, University Medical Center Rotterdam, The Netherlands
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Ingold S, Dørum G, Hanson E, Berti A, Branicki W, Brito P, Elsmore P, Gettings K, Giangasparo F, Gross T, Hansen S, Hanssen E, Kampmann ML, Kayser M, Laurent FX, Morling N, Mosquera-Miguel A, Parson W, Phillips C, Porto M, Pośpiech E, Roeder A, Schneider P, Schulze Johann K, Steffen C, Syndercombe-Court D, Trautmann M, van den Berge M, van der Gaag K, Vannier J, Verdoliva V, Vidaki A, Xavier C, Ballantyne J, Haas C. Body fluid identification using a targeted mRNA massively parallel sequencing approach – results of a EUROFORGEN/EDNAP collaborative exercise. Forensic Sci Int Genet 2018; 34:105-115. [DOI: 10.1016/j.fsigen.2018.01.002] [Citation(s) in RCA: 47] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2017] [Revised: 11/17/2017] [Accepted: 01/05/2018] [Indexed: 11/30/2022]
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12
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Robino C, Ralf A, Pasino S, De Marchi MR, Ballantyne KN, Barbaro A, Bini C, Carnevali E, Casarino L, Di Gaetano C, Fabbri M, Ferri G, Giardina E, Gonzalez A, Matullo G, Nutini AL, Onofri, Piccinini A, Piglionica M, Ponzano E, Previderè C, Resta N, Scarnicci F, Seidita G, Sorçaburu-Cigliero S, Turrina S, Verzeletti A, Kayser M. WITHDRAWN: Corrigendum to 'Development of an Italian RM Y-STR haplotype database: results of the 2013 GEFI collaborative exercise' [Forensic. Sci. Int. Genet. 15 (2015) 56-63]. Forensic Sci Int Genet 2018:S1872-4973(18)30195-9. [PMID: 29627344 DOI: 10.1016/j.fsigen.2018.03.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- C Robino
- Department of Public Health Sciences and Pediatrics, University of Turin, Italy.
| | - A Ralf
- Department of Forensic Molecular Biology, Erasmus MC University Medical Center Rotterdam, The Netherlands
| | - S Pasino
- Department of Public Health Sciences and Pediatrics, University of Turin, Italy
| | - M R De Marchi
- Department of Public Health Sciences and Pediatrics, University of Turin, Italy
| | - K N Ballantyne
- Office of the Chief Forensic Scientist, Victoria Police Forensic Services Department, Macleod, Australia
| | - A Barbaro
- Department of Forensic Genetics, Studio Indagini Mediche e Forensi (SIMEF), Reggio Calabria, Italy
| | - C Bini
- Department of Medical and Surgical Sciences, Institute of Legal Medicine, University of Bologna, Italy
| | - E Carnevali
- Department of Biomedical and Surgical Sciences, Section of Legal Medicine and Forensic Science, University of Perugia, Italy
| | - L Casarino
- Dipartimento di Medicina Legale, del Lavoro, Psicologia Medica e Criminologia, Università di Genova, Italy
| | - C Di Gaetano
- Department of Medical Sciences, University of Turin, Italy; HuGeF, Human Genetics Foundation, Turin, Italy
| | - M Fabbri
- Department of Public Health, UOL of Legal Medicine, University of Ferrara, Italy
| | - G Ferri
- SC Medicina Legale, Università di Modena, Italy
| | - E Giardina
- Department of Biomedicine and Prevention, University of Rome "Tor Vergata", Italy
| | - A Gonzalez
- ANDROS Day Surgery Clinic, Forensic Genetics Unit, Palermo, Italy
| | - G Matullo
- Department of Medical Sciences, University of Turin, Italy; HuGeF, Human Genetics Foundation, Turin, Italy
| | - A L Nutini
- SOD Genetics Diagnostics, Forensic Genetics, Azienda Ospedaliera Universitaria Careggi, Florence, Italy
| | - Onofri
- Section of Legal Medicine, Università Politecnica Delle Marche, Ancona, Italy
| | - A Piccinini
- Dipartimento di Scienze Biomediche per la Salute, Università degli Studi di Milano, Italy
| | - M Piglionica
- Interdisciplinary Department of Medicine, Section of Legal Medicine, University of Bari, Italy
| | - E Ponzano
- Department of Molecular Medicine, University of Padova, Italy
| | - C Previderè
- Department of Public Health, Experimental and Forensic Medicine, University of Pavia, Italy
| | - N Resta
- Department of Biomedical Sciences and Human Oncology, Medical Genetics Unit, "Aldo Moro" University of Bari, Italy
| | - F Scarnicci
- Istituto di Medicina Legale, Università Cattolica del Sacro Cuore, Roma, Italy
| | - G Seidita
- Department of Biopathology, Medical and Forensic Biotechnologies, University of Palermo, Italy
| | | | - S Turrina
- Dipartimento di Sanità Pubblica e Medicina di Comunità, Università degli Studi di Verona, Italy
| | - A Verzeletti
- Department of Medical and Surgical Specialties, Radiological Sciences and Public Health, University of Brescia, Italy
| | - M Kayser
- Department of Forensic Molecular Biology, Erasmus MC University Medical Center Rotterdam, The Netherlands
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13
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Robino C, Ralf A, Pasino S, De Marchi MR, Ballantyne KN, Barbaro A, Bini C, Carnevali E, Casarino L, Di Gaetano C, Fabbri M, Ferri G, Giardina E, Gonzalez A, Matullo G, Nutini AL, Onofri V, Piccinini A, Piglionica M, Ponzano E, Previderè C, Resta N, Scarnicci F, Seidita G, Sorçaburu-Cigliero S, Turrina S, Verzeletti A, Kayser M. Corrigendum to "Development of an Italian RM Y-STR haplotype database: Results of the 2013 GEFI collaborative exercise" [Forensic. Sci. Int. Genet. 15 (2015) 56-63]. Forensic Sci Int Genet 2018; 34:e23-e24. [PMID: 29428588 DOI: 10.1016/j.fsigen.2018.01.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Affiliation(s)
- C Robino
- Department of Public Health Sciences and Pediatrics, University of Turin, Italy.
| | - A Ralf
- Department of Forensic Molecular Biology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - S Pasino
- Department of Public Health Sciences and Pediatrics, University of Turin, Italy
| | - M R De Marchi
- Department of Public Health Sciences and Pediatrics, University of Turin, Italy
| | - K N Ballantyne
- Office of the Chief Forensic Scientist, Victoria Police Forensic Services Department, Macleod, Australia
| | - A Barbaro
- Department of Forensic Genetics, Studio Indagini Mediche e Forensi (SIMEF), Reggio Calabria, Italy
| | - C Bini
- Department of Medical and Surgical Sciences, Institute of Legal Medicine, University of Bologna, Italy
| | - E Carnevali
- Department of Biomedical and Surgical Sciences, Section of Legal Medicine and Forensic Science, University of Perugia, Italy
| | - L Casarino
- Dipartimento di Medicina Legale, del Lavoro, Psicologia Medica e Criminologia, Università di Genova, Italy
| | - C Di Gaetano
- Department of Medical Sciences, University of Turin, Italy; HuGeF, Human Genetics Foundation, Turin, Italy
| | - M Fabbri
- Department of Public Health, UOL of Legal Medicine, University of Ferrara, Italy
| | - G Ferri
- SC Medicina Legale, Università di Modena, Italy
| | - E Giardina
- Department of Biomedicine and Prevention, University of Rome "Tor Vergata", Italy
| | - A Gonzalez
- ANDROS Day Surgery Clinic, Forensic Genetics Unit, Palermo, Italy
| | - G Matullo
- Department of Medical Sciences, University of Turin, Italy; HuGeF, Human Genetics Foundation, Turin, Italy
| | - A L Nutini
- SOD Genetics Diagnostics, Forensic Genetics, Azienda Ospedaliera Universitaria Careggi, Florence, Italy
| | - V Onofri
- Section of Legal Medicine, Università Politecnica Delle Marche, Ancona, Italy
| | - A Piccinini
- Dipartimento di Scienze Biomediche per la Salute, Università degli Studi di Milano, Italy
| | - M Piglionica
- Interdisciplinary Department of Medicine, Section of Legal Medicine, University of Bari, Italy
| | - E Ponzano
- Department of Molecular Medicine, University of Padova, Italy
| | - C Previderè
- Department of Public Health, Experimental and Forensic Medicine, University of Pavia, Italy
| | - N Resta
- Department of Biomedical Sciences and Human Oncology, Medical Genetics Unit, "Aldo Moro" University of Bari, Italy
| | - F Scarnicci
- Istituto di Medicina Legale, Università Cattolica del Sacro Cuore, Roma, Italy
| | - G Seidita
- Department of Biopathology, Medical and Forensic Biotechnologies, University of Palermo, Italy
| | | | - S Turrina
- Dipartimento di Sanità Pubblica e Medicina di Comunità, Università degli Studi di Verona, Italy
| | - A Verzeletti
- Department of Medical and Surgical Specialties, Radiological Sciences and Public Health, University of Brescia, Italy
| | - M Kayser
- Department of Forensic Molecular Biology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
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14
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Weiler N, Baca K, Ballard D, Balsa F, Bogus M, Børsting C, Brisighelli F, Červenáková J, Chaitanya L, Coble M, Decroyer V, Desmyter S, van der Gaag K, Gettings K, Haas C, Heinrich J, João Porto M, Kal A, Kayser M, Kúdelová A, Morling N, Mosquera-Miguel A, Noel F, Parson W, Pereira V, Phillips C, Schneider P, Syndercombe Court D, Turanska M, Vidaki A, Woliński P, Zatkalíková L, Sijen T. A collaborative EDNAP exercise on SNaPshot™-based mtDNA control region typing. Forensic Sci Int Genet 2017; 26:77-84. [DOI: 10.1016/j.fsigen.2016.10.014] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2016] [Revised: 10/04/2016] [Accepted: 10/23/2016] [Indexed: 01/27/2023]
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16
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Pallavicini M, Bellini G, Benziger J, Bick D, Bonfini G, Bravo D, Caccianiga B, Calaprice F, Caminata A, Cavalcante P, Chavarria A, Chepurnov A, D'Angelo D, Davini S, Derbin A, Empl A, Etenko A, Fomenko K, Franco D, Gabriele F, Galbiati C, Gazzana S, Ghiano C, Giammarchi M, Göger-Neff M, Goretti A, Gromov M, Hagner C, Hungerford E, Ianni A, Ianni A, Kayser M, Kobychev V, Korablëv D, Korga G, Kryn D, Laubenstein M, Lehnert B, Lewke T, Litvinovich E, Lombardi F, Lombardi P, Ludhova L, Lukyanchenko G, Machulin I, Manecki S, Maneschg W, Marcocci S, Meindl Q, Meroni E, Meyer M, Miramonti L, Misiaszek M, Montuschi M, Mosteiro P, Muratova V, Oberauer L, Obolensky M, Ortica F, Otis K, Papp L, Perasso L, Pocar A, Ranucci G, Razeto A, Re A, Romani A, Rossi N, Saldanha R, Salvo C, Schönert S, Simgen H, Skorokhvatov M, Smirnov O, Sotnikov A, Sukhotin S, Suvorov Y, Tartaglia R, Testera G, Vignaud D, Vogelaar R, Feilitzsch FV, Wang H, Winter J, Wojcik M, Wurm M, Zaimidoroga O, Zavatarelli S, Zuber K, Zuzel G. First real–time detection of solar pp neutrinos by Borexino. EPJ Web of Conferences 2016. [DOI: 10.1051/epjconf/201612101001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
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17
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Tagliabue E, Fargnoli MC, Gandini S, Maisonneuve P, Liu F, Kayser M, Nijsten T, Han J, Kumar R, Gruis NA, Ferrucci L, Branicki W, Dwyer T, Blizzard L, Helsing P, Autier P, García-Borrón JC, Kanetsky PA, Landi MT, Little J, Newton-Bishop J, Sera F, Raimondi S. MC1R gene variants and non-melanoma skin cancer: a pooled-analysis from the M-SKIP project. Br J Cancer 2015; 113:354-63. [PMID: 26103569 PMCID: PMC4506395 DOI: 10.1038/bjc.2015.231] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2015] [Revised: 05/18/2015] [Accepted: 05/27/2015] [Indexed: 11/30/2022] Open
Abstract
BACKGROUND The melanocortin-1-receptor (MC1R) gene regulates human pigmentation and is highly polymorphic in populations of European origins. The aims of this study were to evaluate the association between MC1R variants and the risk of non-melanoma skin cancer (NMSC), and to investigate whether risk estimates differed by phenotypic characteristics. METHODS Data on 3527 NMSC cases and 9391 controls were gathered through the M-SKIP Project, an international pooled-analysis on MC1R, skin cancer and phenotypic characteristics. We calculated summary odds ratios (SOR) with random-effect models, and performed stratified analyses. RESULTS Subjects carrying at least one MC1R variant had an increased risk of NMSC overall, basal cell carcinoma (BCC) and squamous cell carcinoma (SCC): SOR (95%CI) were 1.48 (1.24-1.76), 1.39 (1.15-1.69) and 1.61 (1.35-1.91), respectively. All of the investigated variants showed positive associations with NMSC, with consistent significant results obtained for V60L, D84E, V92M, R151C, R160W, R163Q and D294H: SOR (95%CI) ranged from 1.42 (1.19-1.70) for V60L to 2.66 (1.06-6.65) for D84E variant. In stratified analysis, there was no consistent pattern of association between MC1R and NMSC by skin type, but we consistently observed higher SORs for subjects without red hair. CONCLUSIONS Our pooled-analysis highlighted a role of MC1R variants in NMSC development and suggested an effect modification by red hair colour phenotype.
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Affiliation(s)
- E Tagliabue
- Division of Epidemiology and Biostatistics, European Institute of Oncology, Via Ripamonti 435, Milan 20141, Italy
| | - M C Fargnoli
- Department of Dermatology, University of L'Aquila, 47100 L'Aquila, Italy
| | - S Gandini
- Division of Epidemiology and Biostatistics, European Institute of Oncology, Via Ripamonti 435, Milan 20141, Italy
| | - P Maisonneuve
- Division of Epidemiology and Biostatistics, European Institute of Oncology, Via Ripamonti 435, Milan 20141, Italy
| | - F Liu
- Department of Forensic Molecular Biology, Erasmus MC University Medical Center, 3000 DR Rotterdam, The Netherlands
| | - M Kayser
- Department of Forensic Molecular Biology, Erasmus MC University Medical Center, 3000 DR Rotterdam, The Netherlands
| | - T Nijsten
- Department of Dermatology, Erasmus MC University Medical Center, 3000 DR Rotterdam, The Netherlands
| | - J Han
- Department of Dermatology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
- Channing Laboratory, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
- Department of Epidemiology, Harvard School of Public Health, Boston, MA 02115, USA
| | - R Kumar
- Division of Molecular Genetic Epidemiology, German Cancer Research Center, D-69120 Heidelberg, Germany
| | - N A Gruis
- Department of Dermatology, Leiden University Medical Center, 2300 RC Leiden, The Netherlands
| | - L Ferrucci
- Department of Chronic Disease Epidemiology, Yale School of Public Health, Yale Cancer Center, New Haven, CT 06520-8034, USA
| | - W Branicki
- Institute of Forensic Research, 31-033 Krakow, Poland
| | - T Dwyer
- Murdoch Childrens Research Institute, Royal Children's Hospital, Victoria 3052, Australia
| | - L Blizzard
- Menzies Research Institute Tasmania, University of Tasmania, Hobart, 7001 Australia
| | - P Helsing
- Department of Pathology, Oslo University Hospital, N-0027 Oslo, Norway
| | - P Autier
- International Prevention Research Institute, Lyon 69006, France
| | - J C García-Borrón
- Department of Biochemistry, Molecular Biology and Immunology, University of Murcia, 30100 Murcia, Spain
| | - P A Kanetsky
- Department of Cancer Epidemiology, Moffitt Cancer Center, Tampa, FL 33612, USA
| | - M T Landi
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892-7236, USA
| | - J Little
- School of Epidemiology, Public Health and Preventive Medicine, University of Ottawa, Ottawa, Canada ON K1N 6N5
| | - J Newton-Bishop
- Section of Epidemiology and Biostatistics, Institute of Cancer and Pathology, University of Leeds, Leeds LS9 7TF, UK
| | - F Sera
- UCL Institute of Child Health, London WC1N 1EH, UK
| | - S Raimondi
- Division of Epidemiology and Biostatistics, European Institute of Oncology, Via Ripamonti 435, Milan 20141, Italy
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18
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Santos C, Fondevila M, Ballard D, Banemann R, Bento AM, Børsting C, Branicki W, Brisighelli F, Burrington M, Capal T, Chaitanya L, Daniel R, Decroyer V, England R, Gettings KB, Gross TE, Haas C, Harteveld J, Hoff-Olsen P, Hoffmann A, Kayser M, Kohler P, Linacre A, Mayr-Eduardoff M, McGovern C, Morling N, O'Donnell G, Parson W, Pascali VL, Porto MJ, Roseth A, Schneider PM, Sijen T, Stenzl V, Court DS, Templeton JE, Turanska M, Vallone PM, Oorschot RAHV, Zatkalikova L, Carracedo Á, Phillips C. Forensic ancestry analysis with two capillary electrophoresis ancestry informative marker (AIM) panels: Results of a collaborative EDNAP exercise. Forensic Sci Int Genet 2015; 19:56-67. [PMID: 26122263 DOI: 10.1016/j.fsigen.2015.06.004] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2015] [Revised: 05/06/2015] [Accepted: 06/09/2015] [Indexed: 10/23/2022]
Abstract
There is increasing interest in forensic ancestry tests, which are part of a growing number of DNA analyses that can enhance routine profiling by obtaining additional genetic information about unidentified DNA donors. Nearly all ancestry tests use single nucleotide polymorphisms (SNPs), but these currently rely on SNaPshot single base extension chemistry that can fail to detect mixed DNA. Insertion-deletion polymorphism (Indel) tests have been developed using dye-labeled primers that allow direct capillary electrophoresis detection of PCR products (PCR-to-CE). PCR-to-CE maintains the direct relationship between input DNA and signal strength as each marker is detected with a single dye, so mixed DNA is more reliably detected. We report the results of a collaborative inter-laboratory exercise of 19 participants (15 from the EDNAP European DNA Profiling group) that assessed a 34-plex SNP test using SNaPshot and a 46-plex Indel test using PCR-to-CE. Laboratories were asked to type five samples with different ancestries and detect an additional mixed DNA sample. Statistical inference of ancestry was made by participants using the Snipper online Bayes analysis portal plus an optional PCA module that analyzes the genotype data alongside calculation of Bayes likelihood ratios. Exercise results indicated consistent genotyping performance from both tests, reaching a particularly high level of reliability for the Indel test. SNP genotyping gave 93.5% concordance (compared to the organizing laboratory's data) that rose to 97.3% excluding one laboratory with a large number of miscalled genotypes. Indel genotyping gave a higher concordance rate of 99.8% and a reduced no-call rate compared to SNP analysis. All participants detected the mixture from their Indel peak height data and successfully assigned the correct ancestry to the other samples using Snipper, with the exception of one laboratory with SNP miscalls that incorrectly assigned ancestry of two samples and did not obtain informative likelihood ratios for a third. Therefore, successful ancestry assignments were achieved by participants in 92 of 95 Snipper analyses. This exercise demonstrates that ancestry inference tests based on binary marker sets can be readily adopted by laboratories that already have well-established CE regimes in place. The Indel test proved to be easy to use and allowed all exercise participants to detect the DNA mixture as well as achieving complete and concordant profiles in nearly all cases. Lastly, two participants successfully ran parallel next-generation sequencing analyses (each using different systems) and achieved high levels of genotyping concordance using the exercise PCR primer mixes unmodified.
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Affiliation(s)
- C Santos
- Forensic Genetics Unit, Institute of Forensic Sciences, University of Santiago de Compostela, Santiago de Compostela, Spain
| | - M Fondevila
- Forensic Genetics Unit, Institute of Forensic Sciences, University of Santiago de Compostela, Santiago de Compostela, Spain
| | - D Ballard
- Department of Forensic and Analytical Science, Faculty of Life Science, King's College London, UK
| | - R Banemann
- Federal Criminal Police Office, Wiesbaden, Germany
| | - A M Bento
- Forensic Genetic and Biology Service, Centre Branch, National Institute of Legal Medicine and Forensic Sciences, Coimbra, Portugal
| | - C Børsting
- Section of Forensic Genetics, Department of Forensic Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Frederik V's Vej 11, Copenhagen, Denmark
| | - W Branicki
- Section of Forensic Genetics, Institute of Forensic Research, Kraków, Poland
| | - F Brisighelli
- Forensic Genetics Laboratory, Institute of Legal Medicine, Università Cattolica del Sacro Cuore, Rome, Italy
| | | | - T Capal
- Department of Forensic Genetics, Institute of Criminalistics, Prague, Czech Republic
| | - L Chaitanya
- Department of Forensic Molecular Biology, Erasmus MC University Medical Centre Rotterdam, Rotterdam, The Netherlands
| | - R Daniel
- Office of the Chief Forensic Scientist, Forensic Services Department, Victoria Police, Australia
| | - V Decroyer
- National Institute of Criminalistics and Criminology, Chaussée de Vilvoorde 100, Brussels, Belgium
| | - R England
- ESR, Private Bag 92021, Auckland, New Zealand
| | - K B Gettings
- Material Measurement Laboratory, National Institute of Standards and Technology, Gaithersburg, MD, USA
| | - T E Gross
- Institute of Legal Medicine, Faculty of Medicine, University of Cologne, Cologne, Germany
| | - C Haas
- Zurich Institute of Forensic Medicine, University of Zurich, Zurich, Switzerland
| | - J Harteveld
- Department of Human Biological Traces, Netherlands Forensic Institute, The Hague, The Netherlands
| | - P Hoff-Olsen
- Department of Forensic Biology, Norwegian Institute of Public Health, Oslo, Norway
| | - A Hoffmann
- Federal Criminal Police Office, Wiesbaden, Germany
| | - M Kayser
- Department of Forensic Molecular Biology, Erasmus MC University Medical Centre Rotterdam, Rotterdam, The Netherlands
| | - P Kohler
- Department of Forensic Biology, Norwegian Institute of Public Health, Oslo, Norway
| | - A Linacre
- School of Biological Sciences, Flinders University, Adelaide, South Australia 5042, Australia
| | - M Mayr-Eduardoff
- Institute of Legal Medicine, Medical University of Innsbruck, Innsbruck, Austria
| | - C McGovern
- ESR, Private Bag 92021, Auckland, New Zealand
| | - N Morling
- Section of Forensic Genetics, Department of Forensic Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Frederik V's Vej 11, Copenhagen, Denmark; National Institute of Criminalistics and Criminology, Chaussée de Vilvoorde 100, Brussels, Belgium
| | - G O'Donnell
- Forensic Science Laboratory, Dublin, Ireland
| | - W Parson
- Institute of Legal Medicine, Medical University of Innsbruck, Innsbruck, Austria; Forensic Science Program, The Pennsylvania State University, University Park, PA, USA
| | - V L Pascali
- Forensic Genetics Laboratory, Institute of Legal Medicine, Università Cattolica del Sacro Cuore, Rome, Italy
| | - M J Porto
- Forensic Genetic and Biology Service, Centre Branch, National Institute of Legal Medicine and Forensic Sciences, Coimbra, Portugal
| | - A Roseth
- Department of Forensic Biology, Norwegian Institute of Public Health, Oslo, Norway
| | - P M Schneider
- Institute of Legal Medicine, Faculty of Medicine, University of Cologne, Cologne, Germany
| | - T Sijen
- Department of Human Biological Traces, Netherlands Forensic Institute, The Hague, The Netherlands
| | - V Stenzl
- Department of Forensic Genetics, Institute of Criminalistics, Prague, Czech Republic
| | - D Syndercombe Court
- Department of Forensic and Analytical Science, Faculty of Life Science, King's College London, UK
| | - J E Templeton
- School of Biological Sciences, Flinders University, Adelaide, South Australia 5042, Australia
| | - M Turanska
- Institute of Forensic Science, Ministry of the Interior, Department of Biology and DNA Analysis, Slovenská Lupca, Slovakia
| | - P M Vallone
- Material Measurement Laboratory, National Institute of Standards and Technology, Gaithersburg, MD, USA
| | - R A H van Oorschot
- Office of the Chief Forensic Scientist, Forensic Services Department, Victoria Police, Australia
| | - L Zatkalikova
- Institute of Forensic Science, Ministry of the Interior, Department of Biology and DNA Analysis, Slovenská Lupca, Slovakia
| | - Á Carracedo
- Forensic Genetics Unit, Institute of Forensic Sciences, University of Santiago de Compostela, Santiago de Compostela, Spain
| | - C Phillips
- Forensic Genetics Unit, Institute of Forensic Sciences, University of Santiago de Compostela, Santiago de Compostela, Spain.
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Nestler O, Kayser M, Unger L. Multizentrische Retikulohistiozytose – eine histiozytäre Form der Arthritis multilans. AKTUEL RHEUMATOL 2015. [DOI: 10.1055/s-0035-1548863] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Affiliation(s)
- O. Nestler
- Städtisches Klinikum Dresden-Friedrichstadt, I. Medizinische Klinik, Dresden
| | - M. Kayser
- Städtisches Klinikum Dresden-Friedrichstadt, I. Medizinische Klinik, Dresden
| | - L. Unger
- Städtisches Klinikum Dresden-Friedrichstadt, I. Medizinische Klinik, Dresden
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Zubakov D, Kokmeijer I, Ralf A, Rajagopalan N, Calandro L, Wootton S, Langit R, Chang C, Lagace R, Kayser M. Towards simultaneous individual and tissue identification: A proof-of-principle study on parallel sequencing of STRs, amelogenin, and mRNAs with the Ion Torrent PGM. Forensic Sci Int Genet 2015; 17:122-128. [PMID: 25966466 DOI: 10.1016/j.fsigen.2015.04.002] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2014] [Revised: 03/13/2015] [Accepted: 04/03/2015] [Indexed: 11/26/2022]
Abstract
DNA-based individual identification and RNA-based tissue identification represent two commonly-used tools in forensic investigation, aiming to identify crime scene sample donors and helping to provide links between DNA-identified sample donors and criminal acts. Currently however, both analyses are typically performed separately. In this proof-of-principle study, we developed an approach for the simultaneous analysis of forensic STRs, amelogenin, and forensic mRNAs based on parallel targeted DNA/RNA sequencing using the Ion Torrent Personal Genome Machine(®) (PGM™) System coupled with the AmpliSeq™ targeted amplification. We demonstrated that 9 autosomal STRs commonly used for individual identification (CSF1PO, D16S539, D3S1358, D5S818, D7S820, D8S1179, TH01, TPOX, and vWA), the AMELX/AMELY system widely applied for sex identification, and 12 mRNA markers previously established for forensic tissue identification (ALAS2 and SPTB for peripheral blood, MMP10 and MMP11 for menstrual blood, HTN3 and STATH for saliva, PRM1 and TGM4 for semen, CYP2B7P1 and MUC4 for vaginal secretion, CCL27 and LCE1C for skin) together with two candidate reference mRNA markers (HPRT1 and SDHA) can all be successfully combined. Unambiguous mRNA-based tissue identification was achieved in all samples from all forensically relevant tissues tested, and STR sequencing analysis of the tissue sample donors was 100% concordant with conventional STR profiling using a commercial kit. Successful STR analysis was obtained from 1ng of genomic DNA and mRNA analysis from 10ng total RNA; however, sensitivity limits were not investigated in this proof-of-principle study and are expected to be much lower. Since dried materials with noticeable RNA degradation and small DNA/RNA amplicons with high-coverage sequencing were used, the achieved correct individual and tissue identification demonstrates the suitability of this approach for analyzing degraded materials in future forensic applications. Overall, our study demonstrates the feasibility of simultaneously obtaining multilocus STR, amelogenin, and multilocus mRNA information for combined individual and tissue identification from a small sample of degraded biological material. Moreover, our study marks the first step towards combining many DNA/RNA markers for various forensic purposes to increase the effectiveness of molecular forensic analysis and to allow more forensically relevant information to be obtained from limited forensic material.
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Affiliation(s)
- D Zubakov
- Department of Forensic Molecular Biology, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - I Kokmeijer
- Department of Forensic Molecular Biology, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - A Ralf
- Department of Forensic Molecular Biology, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - N Rajagopalan
- Thermo Fisher Scientific/Life Technologies, South San Francisco, CA, USA
| | - L Calandro
- Thermo Fisher Scientific/Life Technologies, South San Francisco, CA, USA
| | - S Wootton
- Thermo Fisher Scientific/Life Technologies, South San Francisco, CA, USA
| | - R Langit
- Thermo Fisher Scientific/Life Technologies, South San Francisco, CA, USA
| | - C Chang
- Thermo Fisher Scientific/Life Technologies, South San Francisco, CA, USA
| | - R Lagace
- Thermo Fisher Scientific/Life Technologies, South San Francisco, CA, USA
| | - M Kayser
- Department of Forensic Molecular Biology, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands.
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Hamer MA, Jacobs LC, Lall JS, Wollstein A, Hollestein LM, Rae AR, Gossage KW, Hofman A, Liu F, Kayser M, Nijsten T, Gunn DA. Validation of image analysis techniques to measure skin aging features from facial photographs. Skin Res Technol 2015; 21:392-402. [DOI: 10.1111/srt.12205] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/07/2014] [Indexed: 12/31/2022]
Affiliation(s)
- M. A. Hamer
- Department of Dermatology; Erasmus MC University Medical Center Rotterdam; Rotterdam The Netherlands
- Netherlands Genomics Initiative (NGI) - sponsored Netherlands Consortium for Healthy Aging (NCHA); Leiden The Netherlands
| | - L. C. Jacobs
- Department of Dermatology; Erasmus MC University Medical Center Rotterdam; Rotterdam The Netherlands
- Netherlands Genomics Initiative (NGI) - sponsored Netherlands Consortium for Healthy Aging (NCHA); Leiden The Netherlands
| | - J. S. Lall
- Unilever Research and Development; Colworth Science Park; Sharnbrook UK
| | - A. Wollstein
- Section of Evolutionary Biology; Department of Biology II; University of Munich; Planegg-Martinsried Germany
| | - L. M. Hollestein
- Department of Dermatology; Erasmus MC University Medical Center Rotterdam; Rotterdam The Netherlands
| | | | | | - A. Hofman
- Department of Epidemiology; Erasmus MC University Medical Center Rotterdam; Rotterdam The Netherlands
| | - F. Liu
- Department of Forensic Molecular Biology; Erasmus MC University Medical Center Rotterdam; Rotterdam The Netherlands
| | - M. Kayser
- Department of Forensic Molecular Biology; Erasmus MC University Medical Center Rotterdam; Rotterdam The Netherlands
| | - T. Nijsten
- Department of Dermatology; Erasmus MC University Medical Center Rotterdam; Rotterdam The Netherlands
- Netherlands Genomics Initiative (NGI) - sponsored Netherlands Consortium for Healthy Aging (NCHA); Leiden The Netherlands
| | - D. A. Gunn
- Unilever Research and Development; Colworth Science Park; Sharnbrook UK
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22
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Louwers YV, Lao O, Fauser BCJM, Kayser M, Laven JSE. The impact of self-reported ethnicity versus genetic ancestry on phenotypic characteristics of polycystic ovary syndrome (PCOS). J Clin Endocrinol Metab 2014; 99:E2107-16. [PMID: 24960542 DOI: 10.1210/jc.2014-1084] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/13/2023]
Abstract
CONTEXT It is well established that ethnicity is associated with the phenotype of polycystic ovary syndrome (PCOS). Self-reported ethnicity was shown to be an inaccurate proxy for ethnic origin in other disease traits, and it remains unclear how in PCOS patients self-reported ethnicity compares with a biological proxy such as genetic ancestry. OBJECTIVE We compared the impact of self-reported ethnicity versus genetic ancestry on PCOS and tested which of these 2 classifications better predicts the variability in phenotypic characteristics of PCOS. PATIENTS A total of 1499 PCOS patients from The Netherlands, comprising 11 self-reported ethnic groups of European, African, American, and Asian descent were genotyped with the Illumina 610K Quad BeadChip and merged with the data genotyped with the Illumina HumanHap650K available for the reference panel collected by the Human Genome Diversity Project (HGDP), in a collaboration with the Centre Etude Polymorphism Humain (CEPH), including 53 populations for ancestry reference. MAIN OUTCOME MEASURES Algorithms for inferring genetic relationships among individuals, including multidimensional scaling and ADMIXTURE, were applied to recover genetic ancestry for each individual. Regression analysis was used to determine the best predictor for the variability in PCOS characteristics. RESULTS The association between self-reported ethnicity and genetic ancestry was moderate. For amenorrhea, total follicle count, body mass index, SHBG, dehydroepiandrosterone sulfate, and insulin, mainly genetic ancestry clusters ended up in the final models (P values < .004), indicating that they explain a larger proportion of variability of these PCOS characteristics compared with self-reported ethnicity. Especially variability of insulin levels seems predominantly explained by genetic ancestry. CONCLUSIONS Self-reported ancestry is not a perfect proxy for genetic ancestry in patients with PCOS, emphasizing that by using genetic ancestry data instead of self-reported ethnicity, PCOS-relevant misclassification can be avoided. Moreover, because genetic ancestry explained a larger proportion of phenotypic variability associated with PCOS than self-reported ethnicity, future studies should focus on genetic ancestry verification of PCOS patients for research questions and treatment as well as preventive strategies in these women.
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Affiliation(s)
- Y V Louwers
- Division of Reproductive Medicine, Department of Obstetrics and Gynecology (Y.V.L., J.S.E.L.), and Department of Forensic Molecular Biology (O.L., M.K.), Erasmus MC University Medical Center Rotterdam, 3000 CA Rotterdam, The Netherlands; and Department of Reproductive Medicine and Gynecology (B.C.J.M.F.), University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands
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Nazzaro A, Salerno A, Di Iorio L, Landino G, Marino S, Pastore E, Fabregues F, Iraola A, Casals G, Creus M, Peralta S, Penarrubia J, Manau D, Civico S, Balasch J, Lindgren I, Giwercman YL, Celik E, Turkcuoglu I, Ata B, Karaer A, Kirici P, Berker B, Park J, Kim J, Rhee J, Krishnan M, Rustamov O, Russel R, Fitzgerald C, Roberts S, Hapuarachi S, Tan BK, Mathur RS, van de Vijver A, Blockeel C, Camus M, Polyzos N, Van Landuyt L, Tournaye H, Turhan NO, Hizli D, Kamalak Z, Kosus A, Kosus N, Kafali H, Lukaszuk A, Kunicki M, Liss J, Bednarowska A, Jakiel G, Lukaszuk K, Lukaszuk M, Olszak-Sokolowska B, Lukaszuk K, Kunicki M, Liss J, Jakiel G, Bednarowska A, Wasniewski T, Neuberg M, Lukaszuk M, Cavalcanti V, Peluso C, Lechado BL, Cordts EB, Christofolini DM, Barbosa CP, Bianco B, Venetis CA, Kolibianakis EM, Bosdou J, Tarlatzis BC, Onal M, Gungor DN, Acet M, Kahraman S, Kuijper E, Twisk J, Caanen M, Korsen T, Hompes P, Kushnir M, Rockwood A, Meikle W, Lambalk CB, Hizli D, Kamalak Z, Kosus A, Kosus N, Turhan NO, Kafali H, Yan X, Dai X, Wang J, Zhao N, Cui Y, Liu J, Yarde F, Maas AHEM, Franx A, Eijkemans MJC, Drost JT, van Rijn BB, van Eyck J, van der Schouw YT, Broekmans FJM, Martyn F, Anglim B, Wingfield M, Fang T, Yan GJ, Sun HX, Hu YL, Chrudimska J, Krenkova P, Macek M, Macek M, Teixeira da Silva J, Cunha M, Silva J, Viana P, Goncalves A, Barros N, Oliveira C, Sousa M, Barros A, Nelson SM, Lloyd SM, McConnachie A, Khader A, Fleming R, Lawlor DA, Thuesen L, Andersen AN, Loft A, Smitz J, Abdel-Rahman M, Ismail S, Silk J, Abdellah M, Abdellah AH, Ruiz F, Cruz M, Piro M, Collado D, Garcia-Velasco JA, Requena A, Kollmann Z, Bersinger NA, McKinnon B, Schneider S, Mueller MD, von Wolff M, Vaucher A, Kollmann Z, Bersinger NA, Weiss B, Stute P, Marti U, von Wolff M, Chai J, Yeung WYT, Lee CYV, Li WHR, Ho PC, Ng HYE, Kim SM, Kim SH, Jee BC, Ku S, Suh CS, Choi YM, Kim JG, Moon SY, Lee JH, Kim SG, Kim YY, Kim HJ, Lee KH, Park IH, Sun HG, Hwang YI, Sung NY, Choi MH, Cha SH, Park CW, Kim JY, Yang KM, Song IO, Koong MK, Kang IS, Kim HO, Haines C, Wong WY, Kong WS, Cheung LP, Choy TK, Leung PC, Fadini R, Coticchio G, Renzini MM, Guglielmo MC, Brambillasca F, Hourvitz A, Albertini DF, Novara P, Merola M, Dal Canto M, Iza JAA, DePablo JL, Anarte C, Domingo A, Abanto E, Barrenetxea G, Kato R, Kawachiya S, Bodri D, Kondo M, Matsumoto T, Maldonado LGL, Setti AS, Braga DPAF, Iaconelli A, Borges E, Iaconelli C, Setti AS, Braga DPAF, Figueira RCS, Iaconelli A, Borges E, Kitaya K, Taguchi S, Funabiki M, Tada Y, Hayashi T, Nakamura Y, Snajderova M, Zemkova D, Lanska V, Teslik L, Calonge RN, Ortega L, Garcia A, Cortes S, Guijarro A, Peregrin PC, Bellavia M, Pesant MH, Wirthner D, Portman L, de Ziegler D, Wunder D, Chen X, Chen SHL, Liu YD, Tao T, Xu LJ, Tian XL, Ye DSH, He YX, Carby A, Barsoum E, El-Shawarby S, Trew G, Lavery S, Mishieva N, Barkalina N, Korneeva I, Ivanets T, Abubakirov A, Chavoshinejad R, Hartshorne GM, Marei W, Fouladi-nashta AA, Kyrkou G, Trakakis E, Chrelias CH, Alexiou E, Lykeridou K, Mastorakos G, Bersinger N, Kollmann Z, Mueller MD, Vaucher A, von Wolff M, Ferrero H, Gomez R, Garcia-Pascual CM, Simon C, Pellicer A, Turienzo A, Lledo B, Guerrero J, Ortiz JA, Morales R, Ten J, Llacer J, Bernabeu R, De Leo V, Focarelli R, Capaldo A, Stendardi A, Gambera L, Marca AL, Piomboni P, Kim JJ, Choi YM, Kang JH, Hwang KR, Chae SJ, Kim SM, Yoon SH, Ku SY, Kim SH, Kim JG, Moon SY, Iliodromiti S, Kelsey TW, Anderson RA, Nelson SM, Lee HJ, Weghofer A, Kushnir VA, Shohat-Tal A, Lazzaroni E, Lee HJ, Barad DH, Gleicher NN, Shavit T, Shalom-Paz E, Fainaru O, Michaeli M, Kartchovsky E, Ellenbogen A, Gerris J, Vandekerckhove F, Delvigne A, Dhont N, Madoc B, Neyskens J, Buyle M, Vansteenkiste E, De Schepper E, Pil L, Van Keirsbilck N, Verpoest W, Debacquer D, Annemans L, De Sutter P, Von Wolff M, Kollmann Z, Vaucher A, Weiss B, Bersinger NA, Verit FF, Keskin S, Sargin AK, Karahuseyinoglu S, Yucel O, Yalcinkaya S, Comninos AN, Jayasena CN, Nijher GMK, Abbara A, De Silva A, Veldhuis JD, Ratnasabapathy R, Izzi-Engbeaya C, Lim A, Patel DA, Ghatei MA, Bloom SR, Dhillo WS, Colodron M, Guillen JJ, Garcia D, Coll O, Vassena R, Vernaeve V, Pazoki H, Bolouri G, Farokhi F, Azarbayjani MA, Alebic MS, Stojanovic N, Abali R, Yuksel A, Aktas C, Celik C, Guzel S, Erfan G, Sahin O, Zhongying H, Shangwei L, Qianhong M, Wei F, Lei L, Zhun X, Yan W, Vandekerckhove F, De Baerdemaeker A, Gerris J, Tilleman K, Vansteelandt S, De Sutter P, Oliveira JBA, Baruffi RLR, Petersen CG, Mauri AL, Nascimento AM, Vagnini L, Ricci J, Cavagna M, Massaro FC, Pontes A, Franco JG, El-khayat W, Elsadek M, Foroozanfard F, Saberi H, Moravvegi A, Kazemi M, Gidoni YS, Raziel A, Friedler S, Strassburger D, Hadari D, Kasterstein E, Ben-Ami I, Komarovsky D, Maslansky B, Bern O, Ron-El R, Izquierdo MP, Ten J, Guerrero J, Araico F, Llacer J, Bernabeu R, Somova O, Feskov O, Feskova I, Bezpechnaya I, Zhylkova I, Tishchenko O, Oguic SK, Baldani DP, Skrgatic L, Simunic V, Vrcic H, Rogic D, Juras J, Goldstein MS, Garcia De Miguel L, Campo MC, Gurria A, Alonso J, Serrano A, Marban E, Peregrin PC, Hourvitz A, Shalev L, Yung Y, Yerushalmi G, Giovanni C, Dal Canto M, Fadini R, Has J, Maman E, Monterde M, Gomez R, Marzal A, Vega O, Rubio JM, Diaz-Garcia C, Pellicer A, Eapen A, Datta A, Kurinchi-selvan A, Birch H, Lockwood GM, Ornek MC, Ates U, Usta T, Goksedef CP, Bruszczynska A, Glowacka J, Kunicki M, Jakiel G, Wasniewski T, Jaguszewska K, Liss J, Lukaszuk K, Oehninger S, Nelson S, Verweij P, Stegmann B, Ando H, Takayanagi T, Minamoto H, Suzuki N, Maman E, Rubinshtein N, Yung Y, Shalev L, Yerushalmi G, Hourvitz A, Saltek S, Demir B, Dilbaz B, Demirtas C, Kutteh W, Shapiro B, Witjes H, Gordon K, Lauritsen MP, Loft A, Pinborg A, Freiesleben NL, Mikkelsen AL, Bjerge MR, Andersen AN, Chakraborty P, Goswami SK, Chakravarty BN, Mittal M, Bajoria R, Narvekar N, Chatterjee R, Bentzen JG, Johannsen TH, Scheike T, Andersen AN, Friis-Hansen L, Sunkara S, Coomarasamy A, Faris R, Braude P, Khalaf Y, Makedos A, Kolibianakis EM, Venetis CA, Masouridou S, Chatzimeletiou K, Zepiridis L, Mitsoli A, Lainas G, Sfontouris I, Tzamtzoglou A, Kyrou D, Lainas T, Tarlatzis BC, Fermin A, Crisol L, Exposito A, Prieto B, Mendoza R, Matorras R, Louwers Y, Lao O, Kayser M, Palumbo A, Sanabria V, Rouleau JP, Puopolo M, Hernandez MJ, Diaz-Garcia C, Monterde M, Marzal A, Vega O, Rubio JM, Gomez R, Pellicer A, Ozturk S, Sozen B, Yaba-Ucar A, Mutlu D, Demir N, Olsson H, Sandstrom R, Grundemar L, Papaleo E, Corti L, Rabellotti E, Vanni VS, Potenza M, Molgora M, Vigano P, Candiani M, Andersen AN, Fernandez-Sanchez M, Bosch E, Visnova H, Barri P, Garcia-Velasco JA, De Sutter P, Fauser BJCM, Arce JC, Sandstrom R, Olsson H, Grundemar L, Peluso P, Trevisan CM, Cordts EB, Cavalcanti V, Christofolini DM, Fonseca FA, Barbosa CP, Bianco B, Bakas P, Vlahos N, Hassiakos D, Tzanakaki D, Gregoriou O, Liapis A, Creatsas G, Adda-Herzog E, Steffann J, Sebag-Peyrelevade S, Poulain M, Benachi A, Fanchin R, Gordon K, Zhang D, Andersen AN, Aybar F, Temel S, Kahraman S, Hamdine O, Macklon NS, Eijkemans MJC, Laven JS, Cohlen BJ, Verhoeff A, van Dop PA, Bernardus RE, Lambalk CB, Oosterhuis GJE, Holleboom CAG, van den Dool-Maasland GC, Verburg HJ, van der Heijden PFM, Blankhart A, Fauser BCJM, Broekmans FJ, Bhattacharya J, Mitra A, Dutta GB, Kundu A, Bhattacharya M, Kundu S, Pigny P, Dassonneville A, Catteau-Jonard S, Decanter C, Dewailly D, Pouly J, Olivennes F, Massin N, Celle M, Caizergues N, Fleming R, Gaudoin M, Messow M, McConnachie A, Nelson SM, Dewailly D, Vanhove L, Peigne M, Thomas P, Robin G, Catteau-Jonard S. Reproductive endocrinology. Hum Reprod 2013. [DOI: 10.1093/humrep/det221] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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Larmuseau MHD, Vanderheyden N, Van Geystelen A, van Oven M, Kayser M, Decorte R. Increasing phylogenetic resolution still informative for Y chromosomal studies on West-European populations. Forensic Sci Int Genet 2013; 9:179-85. [PMID: 23683810 DOI: 10.1016/j.fsigen.2013.04.002] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2013] [Revised: 03/22/2013] [Accepted: 04/07/2013] [Indexed: 01/28/2023]
Abstract
Many Y-chromosomal lineages which are defined in the latest phylogenetic tree of the human Y chromosome by the Y Chromosome Consortium (YCC) in 2008 are distributed in (Western) Europe due to the fact that a large number of phylogeographic studies focus on this area. Therefore, the question arises whether newly discovered polymorphisms on the Y chromosome will still be interesting to study Western Europeans on a population genetic level. To address this question, the West-European region of Flanders (Belgium) was selected as study area since more than 1000 Y chromosomes from this area have previously been genotyped at the highest resolution of the 2008 YCC-tree and coupled to in-depth genealogical data. Based on these data the temporal changes of the population genetic pattern over the last centuries within Flanders were studied and the effects of several past gene flow events were identified. In the present study a set of recently reported novel Y-SNPs were genotyped to further characterize all those Flemish Y chromosomes that belong to haplogroups G, R-M269 and T. Based on this extended Y-SNP set the discrimination power increased drastically as previous large (sub-)haplogroups are now subdivided in several non-marginal groups. Next, the previously observed population structure within Flanders appeared to be the result of different gradients of independent sub-haplogroups. Moreover, for the first time within Flanders a significant East-West gradient was observed in the frequency of two R-M269 lineages, and this gradient is still present when considering the current residence of the DNA donors. Our results thus suggest that an update of the Y-chromosomal tree based on new polymorphisms is still useful to increase the discrimination power based on Y-SNPs and to study population genetic patterns in more detail, even in an already well-studied region such as Western Europe.
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Affiliation(s)
- M H D Larmuseau
- UZ Leuven, Laboratory of Forensic Genetics and Molecular Archaeology, Leuven, Belgium; KU Leuven, Forensic Medicine, Department of Imaging & Pathology, Leuven, Belgium; KU Leuven, Laboratory of Biodiversity and Evolutionary Genomics, Department of Biology, Leuven, Belgium.
| | - N Vanderheyden
- UZ Leuven, Laboratory of Forensic Genetics and Molecular Archaeology, Leuven, Belgium
| | - A Van Geystelen
- UZ Leuven, Laboratory of Forensic Genetics and Molecular Archaeology, Leuven, Belgium; KU Leuven, Laboratory of Socioecology and Social Evolution, Department of Biology, Leuven, Belgium
| | - M van Oven
- Department of Forensic Molecular Biology, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - M Kayser
- Department of Forensic Molecular Biology, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - R Decorte
- UZ Leuven, Laboratory of Forensic Genetics and Molecular Archaeology, Leuven, Belgium; KU Leuven, Forensic Medicine, Department of Imaging & Pathology, Leuven, Belgium
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Ballantyne KN, Kayser M. Additional Y-STRs in Forensics: Why, Which, and When. Forensic Sci Rev 2012; 24:63-78. [PMID: 26231358] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 06/04/2023]
Abstract
Male-specific DNA profiling using nonrecombining Y-chromosomal genetic markers is becoming ubiquitous in forensic genetics, with many laboratories and jurisdictions taking advantage of the benefits that Y-chromosome short tandem repeat (Y-STR) profiling can bring. The current suite of 9-17 core Y-STRs, available as commercial kits, perform adequately for identifying male lineages in many populations, a feature highly suitable for excluding a male suspect from involvement in crimes such as sexual assaults where autosomal STR profiling is often troubled. However, there is a growing need to achieve higher resolution in paternal-lineage differentiation as adventitious matches between unrelated males are becoming increasingly common with the increasing size of Y-STR haplotype-frequency databases. Furthermore, with the currently used Y-STRs, male relatives (both close and distant) usually cannot be separated, marking a strong limitation in forensic applications as conclusions cannot be drawn on the individual level as desired. Performing Y-chromosome analysis in familial testing, which outperforms autosomal STR profiling in certain deficiency cases, with the current Y-STR sets can be troubled by mutations that complicate relationship-probability estimations. To overcome these limitations, considerable research has been performed over recent years to identify and characterize additional Y-STRs. This review summarizes the forensic performance of current sets of Y-STRs, points out their limitations in the three main areas of forensic Y-STR applications (male-lineage differentiation, male-relative differentiation, and paternity/familial testing), and discusses why and which additional Y-STRs are suitable to improve forensic Y-chromosome analysis in the future.
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Affiliation(s)
- K N Ballantyne
- Forensic Services Department, Victoria Police, Macleod, Victoria, Australia
| | - M Kayser
- Department of Forensic Molecular Biology, Erasmus MC University Medical Center Rotterdam, Rotterdam, South Holland, The Netherlands.
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Colakoglu M, Toy H, Icen MS, Vural M, Mahmoud AS, Yazici F, Buendgen N, Cordes T, Schultze-Mosgau A, Diedrich K, Beyer D, Griesinger G, Oude Loohuis EJ, Nahuis MJ, Bayram N, Hompes PGA, Oosterhuis GJE, Bossuyt PM, van der Veen F, Mol BWJ, van Wely M, Nahuis MJ, Oude Loohuis EJ, Kose N, Bayram N, Hompes PGA, Oosterhuis GJE, Bossuyt PM, van der Veen F, Mol BWJ, van Wely M, Yaba A, Demir N, Allegra A, Pane A, Marino A, Scaglione P, Ruvolo G, Manno M, Volpes A, Lunger F, Wildt L, Seeber B, Kolibianakis EM, Venetis CA, Bosdou J, Toulis K, Goulis DG, Tarlatzi TB, Tarlatzis BC, Franz M, Keck C, Daube S, Pietrowski D, Demir N, Yaba A, Iannetta R, Santos RDS, Lima TP, Giolo F, Iannetta O, Martins WP, Paula FJ, Ferriani RA, Rosa e Silva ACJS, Martinelli CE, Reis RM, Devesa M, Rodriguez I, Coroleu B, Tur R, Gonzalez C, Barri PN, Nardo LG, Mohiyiddeen L, Mulugeta B, McBurney H, Roberts SA, Newman WG, Grynberg M, Lamazou F, Even M, Gallot V, Frydman R, Fanchin R, Abdalla H, Nicopoullos J, Leader A, Pang S, Witjes H, Gordon K, Devroey P, Arrivi C, Ferraretti AP, Magli MC, Tartaglia ML, Fasolino MC, Gianaroli L, Macek sr. M, Feldmar P, Kluckova H, Hrehorcak M, Diblik J, Cernikova J, Paulasova P, Turnovec M, Macek jr. M, Hillensjo T, Yeko T, Witjes H, Elbers J, Devroey P, Mardesic T, Abuzeid M, Witjes H, Mannaerts B, Okubo T, Matsuo R, Kuwayama M, Teramoto S, Chakraborty P, Goswami SK, Chakravarty BN, Nandi SS, Kabir SN, Ramos Vidal J, Prados N, Caligara C, Garcia J, Carranza FJ, Gonzalez-Ravina A, Salazar A, Tocino A, Rodriguez I, Fernandez-Sanchez M, Ito H, Iwasa T, Hasegawa E, Hatano K, Nakayama D, Kazuka M, Usuda S, Isaka K, Ventura V, Doria S, Fernandes S, Barros A, Valkenburg O, Lao O, Schipper I, Louwers YV, Uitterlinden AG, Kayser M, Laven JSE, Sharma S, Goswami S, Goswami SK, Ghosh S, Chattopadhyay R, Sarkar A, Chakravarty BN, Louwers YV, Valkenburg O, Lie Fong S, van Dorp W, de Jong FH, Laven JSE, Ghosh S, Chattopadhyay R, Goswami SK, Radhika KL, Chakravarty BN, Benkhalifa M, Demirol A, Montjeant D, Delagrange P, Gentien D, Giakoumakis G, Menezo Y, Dattilo M, Gurgan T, Engels S, Blockeel C, Haentjens P, De Vos M, Camus M, Devroey P, Dimitraki M, Koutlaki N, Gioka T, Messini CI, Dafopoulos K, Messinis IE, Gurlek B, Batioglu S, Ozyer S, Nafiye Y, Kale I, Karayalcin R, Uncu G, Kasapoglu I, Uncu Y, Celik N, Ozerkan K, Ata B, Ferrero H, Gomez R, Delgado F, Simon C, Gaytan F, Pellicer A, Osborn JC, Fien L, Wolyncevic J, Esler JH, Choi D, Kim N, Choi J, Jo M, Lee E, Lee D, Fujii R, Neyatani N, Waseda T, Oka Y, Takagi H, Tomizawa H, Sasagawa T, Makinoda S, Ajina M, Zorgati H, Ben Salem A, Ben Ali H, Mehri S, Touhami M, Saad A, Piouka A, Karkanaki A, Katsikis I, Delkos D, Mousatat T, Daskalopoulos G, Panidis D, Pantos K, Stavrou D, Sfakianoudis K, Angeli E, Chronopoulou M, Vaxevanoglou T, Jones R GMJ, Lee WD, Kim SD, Jee BC, Kim KC, Kim KH, Kim SH, Kim YJ, Park KA, Chae SJ, Lim KS, Hur CY, Kang YJ, Lee WD, Lim JH, Tomizawa H, Makinoda S, Fujita S, Waseda T, Fujii R, Utsunomiya R T, Vieira C, Martins WP, Fernandes JBF, Soares GM, Reis RM, Silva de Sa MF, Ferriani R RA, Yoo JH, Kim HO, Cha SH, Koong MK, Song IO, Kang IS, Hatakeyama N, Jinno M, Watanabe A, Hirohama J, Hiura R, Konig TE, Beemsterboer SN, Overbeek A, Hendriks ML, Heymans MW, Hompes P, Homburg R, Schats R, Lambalk CB, van der Houwen L, Konig TE, Overbeek A, Hendriks ML, Beemsterboer SN, Kuchenbecker WK, Renckens CNM, Bernardus RE, Schats R, Homburg R, Hompes P, Lambalk CB, Potdar N, Gelbaya TA, Nardo LG, de Groot PCM, Dekkers OM, Romijn JA, Dieben SWM, Helmerhorst FM, Guivarch Leveque A, Homer L, Broux PL, Moy L, Priou G, Vialard J, Colleu D, Arvis P, Dewailly D, Aghahosseini M, Aleyasin A, Sarvi F, Safdarian L, Rahmanpour H, Akhtar MA, Navaratnam K, Ankers D, Sharma SD, Son WY, Chung JT, Reinblatt S, Dahan M, Demirtas M, Holzer H, Aspichueta F, Exposito A, Crisol L, Prieto B, Mendoza R, Matorras R, Kim K, Lee J, Jee B, Lee W, Suh C, Moon J, Kim S, Sarapik A, Velthut A, Haller-Kikkatalo K, Faure GC, Bene MC, de Carvalho M, Massin F, Uibo R, Salumets A, Alhalabi M, Samawi S, Taha A, Kafri N, Modi S, Khatib A, Sharif J, Othman A, Hamamah S, Assou S, Anahory T, Loup V, Dechaud H, Dewailly D, Mousavi Fatemi H, Doody K, Witjes H, Mannaerts B, Basconi V, Jungblut L, Young E, Van Thillo G, Paz D, Pustovrh MC, Fabbri R, Pasquinelli G, Magnani V, Macciocca M, Parazza I, Battaglia C, Paradisi R, Venturoli S, Ono M, Teranisi A, Fumino T, Ohama N, Hamai H, Chikawa A, Takata R, Teramura S, Iwahasi K, Shigeta M, Heidari M, Farahpour M, Talebi S, Edalatkhah H, Zarnani AH, Ardekani AM, Pietrowski D, Szabo L, Sator M, Just A, Franz M, Egarter C, Hope N, Motteram C, Rombauts LJ, Lee W, Chang E, Han J, Won H, Yoon T, Seok H, Diao FY, Mao YD, Wang W, Ding W, Liu JY, Chang E, Yoon T, Lee W, Cho J, Kwak I, Kim Y, Afshan I, Cartwright R, Trew G, Lavery S, Lockwood G, Niyani K, Banerjee S, Chambers A, Pados G, Tsolakidis D, Billi H, Athanatos D, Tarlatzis B, Salumets A, Laanpere M, Altmae S, Kaart T, Stavreus-Evers A, Nilsson TK, van Dulmen-den Broeder E, van der Stroom E, Konig TE, van Montfrans J, Overbeek A, van den Berg MH, van Leeuwen FE, Lambalk CB, Taketani T, Tamura H, Tamura I, Asada H, Sugino N, Al - Azemi M, Kyrou D, Papanikolaou EG, Polyzos NP, Devroey P, Fatemi HM, Qiu Z, Yang L, Yan G, Sun H, Hu Y, Mohiyiddeen L, Higgs J, Roberts S, Newman W, Nardo LG, Ho C, Guijarro JA, Nunez R, Alonso J, Garcia A, Cordeo C, Cortes S, Caballero P, Soliman S, Baydoun R, Wang B, Shreeve N, Cagampang F, Sadek K, Hill CM, Brook N, Macklon N, Cheong Y, Santana R, Setti AS, Maldonado LG, Valente FM, Iaconelli C, Braga DPAF, Iaconelli Jr. A, Borges Jr. E, Yoon JS, Won MY, Kim SD, Jung JH, Yang SH, Lim JH, Kavrut M, Kahraman S, Sadek KH, Bruce KB, Macklon N, Cagampang FR, Cheong YC, Cota AMM, Oliveira JBA, Petersen CG, Mauri AL, Massaro FC, Silva LFI, Vagnini LD, Nicoletti A, Pontes A, Cavagna M, Baruffi RLR, Franco Jr. JG, Won MY, Kim SD, Yoon JS, Jung JH, Yang SH, Lim JH, Kim SD, Kim JW, Yoon TK, Lee WS, Han JE, Lyu SW, Shim SH, Kuwabara Y, Katayama A, Tomiyama R, Piao H, Ono S, Shibui Y, Abe T, Ichikawa T, Mine K, Akira S, Takeshita T, Hatzi E, Lazaros L, Xita N, Kaponis A, Makrydimas G, Sofikitis N, Stefos T, Zikopoulos K, Georgiou I, Guimera M, Casals G, Fabregues F, Estanyol JM, Balasch J, Mochtar MH, Van den Wijngaard L, Van Voorst S, Koks CAM, Van Mello NM, Mol BWJ, Van der Veen F, Van Wely M, Fabregues F, Iraola A, Casals G, Creus M, Carmona F, Balasch J, Villarroel C, Lopez P, Merino P, Iniguez G, Codner E, Xu B, Cui Y, Gao L, Xue KAI, Li MEI, Zhang YUAN, Diao F, Ma X, Liu J, Leonhardt H, Gull B, Kishimoto K, Kataoka M, Stener-Victorin E, Hellstrom M, Cui Y, Wang X, Zhang Z, Ding G, HU X, Sha J, Zhou Z, Liu J, Liu J, Kyrou D, Kolibianakis EM, Fatemi HM, Camus M, Tournaye H, Tarlatzis BC, Devroey P, Davari F, Rashidi B, Rahmanpour Zanjani H, Al-Inany H, Youssef M, Aboulghar M, Broekmans F, Sterrenburg M, Smit J, Abousetta A, Van Dessel H, Van Leeuwen J, McGee EA, Bodri D, Guillen JJ, Rodriguez A, Trullenque M, Coll O, Vernaeve V, Snajderova M, Keslova P, Sedlacek P, Formankova R, Kotaska K, Stary J, Weghofer A, Dietrich W, Barad DH, Gleicher N, Rustamov O, Pemberton P, Roberts S, Smith A, Yates A, Patchava S, Nardo L, Toulis KA, Mintziori G, Goulis DG, Kintiraki E, Eukarpidis E, Mouratoglou SA, Pavlaki A, Stergianos S, Poulasouhidou M, Tzellos TG, Tarlatzis BC, Nasiri R, Ramezanzadeh F, Sarafraz Yazdi M, Baghrei M, Lee RKK, Wu FS, Lin S, Lin MH, Hwu YM. POSTER VIEWING SESSION - REPRODUCTIVE ENDOCRINOLOGY. Hum Reprod 2011. [DOI: 10.1093/humrep/26.s1.90] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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Delfin F, Myles S, Choi Y, Hughes D, Illek R, van Oven M, Pakendorf B, Kayser M, Stoneking M. Bridging Near and Remote Oceania: mtDNA and NRY Variation in the Solomon Islands. Mol Biol Evol 2011; 29:545-64. [DOI: 10.1093/molbev/msr186] [Citation(s) in RCA: 48] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022] Open
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Valkenburg O, Lao O, Schipper I, Louwers Y, Uitterlinden AG, Kayser M, Laven JSE. Genetic ancestry affects the phenotype of normogonadotropic anovulatory (WHOII) subfertility. J Clin Endocrinol Metab 2011; 96:E1181-7. [PMID: 21525156 DOI: 10.1210/jc.2010-2641] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Abstract
INTRODUCTION Normogonadotropic (World Health Organization category II) anovulation is the most frequent cause of reduced fertility. Anovulation is associated with endocrine changes, i.e. hyperandrogenism, obesity, and insulin resistance. However, the phenotype is notoriously heterogeneous, depending on population characteristics and diagnostic criteria. OBJECTIVE Our objective was to study the phenotype of normogonadotropic anovulatory women among various ethnic subgroups that coexist in an urban community (The Netherlands). Moreover, we studied whether genetic ancestry testing can be used to identify bio-geographic ancestry and predict the phenotype of individual patients. MATERIALS AND METHODS A standardized clinical and endocrine examination was performed in 1517 normogonadotropic anovulatory women. Bio-geographic ancestry was ascertained by questionnaire and genetic testing (637 cases), using a set of 10 previously validated ancestry informative markers. RESULTS Subgroups constituted individuals from northwestern European (n = 774), Mediterranean European (north of Sahara and Middle East, n = 220), African (n = 111), Southeast Asian (n = 53), and Hindustani (n = 83) origin. Phenotypic differences included fasting insulin levels, androgen levels, and the frequency of hyperandrogenism (ranging from 76% in Mediterranean-European women to 41% in northwestern European women). Genetic ancestry testing was able to identify population structure on a continental level, i.e. European, African and Southeast Asian descent. We did not observe improved informativeness when genotype data were added to the prediction model. CONCLUSION Population differences add to the phenotype of normogonadotropic anovulation and need to be taken into account when evaluating the individual patient. Although effective on a continental level, the present set of ancestry markers was not sufficiently effective to describe all ethnic variation in the phenotype of anovulatory subfertility.
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Affiliation(s)
- O Valkenburg
- Division of Reproductive Medicine, Department of Gynecology and Obstetrics, Erasmus MC University Medical Center, 3000 CA Rotterdam, The Netherlands.
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Enderlein M, Kayser M, Unger L. Krankheiten des Sternoklavikulargelenkes. AKTUEL RHEUMATOL 2011. [DOI: 10.1055/s-0031-1275262] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
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Zubakov D, Liu F, van Zelm MC, Vermeulen J, Oostra BA, van Duijn CM, Driessen GJ, van Dongen JJM, Kayser M, Langerak AW. Estimating human age from T-cell DNA rearrangements. Curr Biol 2011; 20:R970-1. [PMID: 21093786 DOI: 10.1016/j.cub.2010.10.022] [Citation(s) in RCA: 135] [Impact Index Per Article: 10.4] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
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van Oven M, Hammerle JM, van Schoor M, Kushnick G, Pennekamp P, Zega I, Lao O, Brown L, Kennerknecht I, Kayser M. Unexpected Island Effects at an Extreme: Reduced Y Chromosome and Mitochondrial DNA Diversity in Nias. Mol Biol Evol 2010; 28:1349-61. [DOI: 10.1093/molbev/msq300] [Citation(s) in RCA: 23] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022] Open
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Lao O, Kayser M. Mechanismen und Auswirkungen natürlicher Selektion. MED GENET-BERLIN 2008. [DOI: 10.1007/s11825-008-0122-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
Zusammenfassung
Natürliche Selektion bezeichnet das Phänomen der genotypabhängigen Reproduktivität. Selektion stellt somit einen evolutionären Mechanismus dar, bei dem die Variabilität funktioneller Regionen im Genom einer Spezies durch Wechselwirkungen einzelner Organismen mit ihrer Umwelt geprägt wird. Die Weitergabe genetischer Varianten von einer Generation an die nächste kann durch natürliche Selektion begünstigt (positive Selektion), erschwert (negative Selektion) oder, in Abhängigkeit davon, ob eine Mutation rein- oder mischerbig vorliegt, begünstigt oder erschwert (balancierende Selektion) werden. Positive und negative Selektion verringern die Diversität funktioneller Bereiche und damit assoziierter Abschnitte des Genoms, balancierende Selektion erhöht diese. Das Studium natürlicher Selektion dient hauptsächlich dem evolutionären Verständnis, es kann jedoch auch medizinisch relevante Informationen liefern.
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Affiliation(s)
- O. Lao
- Aff1_122 grid.5645.2 000000040459992X Department of Forensic Molecular Biology Erasmus University Medical Center Rotterdam P. O. Box 2040 3000 Rotterdam Niederlande
| | - M. Kayser
- Aff1_122 grid.5645.2 000000040459992X Department of Forensic Molecular Biology Erasmus University Medical Center Rotterdam P. O. Box 2040 3000 Rotterdam Niederlande
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Kayser M, Unger L, Nüßlein H. Depletion von B-Zellen bei 17 Patienten mit refraktären systemischen Autoimmunerkrankungen. AKTUEL RHEUMATOL 2007. [DOI: 10.1055/s-2007-963271] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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Lao O, de Gruijter JM, van Duijn K, Navarro A, Kayser M. Signatures of positive selection in genes associated with human skin pigmentation as revealed from analyses of single nucleotide polymorphisms. Ann Hum Genet 2007; 71:354-69. [PMID: 17233754 DOI: 10.1111/j.1469-1809.2006.00341.x] [Citation(s) in RCA: 178] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Phenotypic variation between human populations in skin pigmentation correlates with latitude at the continental level. A large number of hypotheses involving genetic adaptation have been proposed to explain human variation in skin colour, but only limited genetic evidence for positive selection has been presented. To shed light on the evolutionary genetic history of human variation in skin colour we inspected 118 genes associated with skin pigmentation in the Perlegen dataset, studying single nucleotide polymorphisms (SNPs), and analyzed 55 genes in detail. We identified eight genes that are associated with the melanin pathway (SLC45A2, OCA2, TYRP1, DCT, KITLG, EGFR, DRD2 and PPARD) and presented significant differences in genetic variation between Europeans, Africans and Asians. In six of these genes we detected, by means of the EHH test, variability patterns that are compatible with the hypothesis of local positive selection in Europeans (OCA2, TYRP1 and KITLG) and in Asians (OCA2, DCT, KITLG, EGFR and DRD2), whereas signals were scarce in Africans (DCT, EGFR and DRD2). Furthermore, a statistically significant correlation between genotypic variation in four pigmentation candidate genes and phenotypic variation of skin colour in 51 worldwide human populations was revealed. Overall, our data also suggest that light skin colour is the derived state and is of independent origin in Europeans and Asians, whereas dark skin color seems of unique origin, reflecting the ancestral state in humans.
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Affiliation(s)
- O Lao
- Department of Forensic Molecular Biology, Erasmus University Medical Centre Rotterdam, The Netherlands
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Gusmão L, Butler JM, Carracedo A, Gill P, Kayser M, Mayr WR, Morling N, Prinz M, Roewer L, Tyler-Smith C, Schneider PM. DNA Commission of the International Society of Forensic Genetics (ISFG): an update of the recommendations on the use of Y-STRs in forensic analysis. Forensic Sci Int 2006; 157:187-97. [PMID: 15913936 DOI: 10.1016/j.forsciint.2005.04.002] [Citation(s) in RCA: 327] [Impact Index Per Article: 18.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2005] [Revised: 04/10/2005] [Accepted: 04/10/2005] [Indexed: 11/26/2022]
Abstract
The DNA Commission of the International Society of Forensic Genetics (ISFG) regularly publishes guidelines and recommendations concerning the application of DNA polymorphisms to the problems of human identification. A previous recommendation published in 2001 has already addressed Y-chromosome polymorphisms, with particular emphasis on short tandem repeats (STRs). Since then, the use of Y-STRs has become very popular, and a numerous new loci have been introduced. The current recommendations address important aspects to clarify problems regarding the nomenclature, the definition of loci and alleles, population genetics and reporting methods.
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Souto L, Rocha A, Pires A, Ferreira E, Kayser M, Amorim A, Côrte-Real F, Vieira D. Mitochondrial DNA variability in populations from East Timor (Timor Leste). ACTA ACUST UNITED AC 2006. [DOI: 10.1016/j.ics.2005.11.060] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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Gusmão L, Butler JM, Carracedo A, Gill P, Kayser M, Mayr WR, Morling N, Prinz M, Roewer L, Tyler-Smith C, Schneider PM. DNA Commission of the International Society of Forensic Genetics (ISFG): an update of the recommendations on the use of Y-STRs in forensic analysis. Int J Legal Med 2005; 120:191-200. [PMID: 16998969 DOI: 10.1007/s00414-005-0026-1] [Citation(s) in RCA: 134] [Impact Index Per Article: 7.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
Abstract
The DNA Commission of the International Society of Forensic Genetics (ISFG) regularly publishes guidelines and recommendations concerning the application of DNA polymorphisms to the problems of human identification. A previous recommendation published in 2001 has already addressed Y-chromosome polymorphisms, with particular emphasis on short tandem repeats (STRs). Since then, the use of Y-STRs has become very popular, and numerous new loci have been introduced. The current recommendations address important aspects to clarify problems regarding the nomenclature, the definition of loci and alleles, population genetics and reporting methods
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Abstract
Glucocorticoids are irreplaceable for the treatment of connective tissue diseases due to their strong and rapid anti-inflammatory and immuno-modulatory effects. Its use and their dosage depend on the activity of the disease and organ manifestations. There is no alternative to high doses, often even as intravenous pulse therapy, in life-threatening situations with imminent organ failure. Despite an additional immuno- suppressive medication, glucocorticosteroids are mandatory for long-term treatment in most cases. In special situations like high age, gravity or comorbidities like renal failure or hepatosis, glucocorticosteroids are the option with the least possible potential for complications. In the future, new corticosteroids and steroid sparing immuno-suppressants like biologics will be able to reduce the spectrum and the severity of corticoid-induced side effects. Modern state-of-the-art therapeutic regimens for patients with connective tissue diseases should not only be able to sufficiently control the disease activity but also include the prophylaxis of associated comorbidities like arteriosclerosis, osteoporosis or infections.
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Affiliation(s)
- L Unger
- I. Medizinische Klinik, Städtisches Klinikum Dresden-Friedrichstadt, Friedrichstrasse 41, 01067 Dresden, Germany.
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Abstract
The question whether (man-made or natural) chemical substances may have an adverse effect on the endocrine system has gained high visibility in the public as well as in the scientific community. This relates to possible effects on the environment as well as on human health for chemicals with (anti)estrogenic, (anti)androgenic or (anti)thyroid activity. Taking into account the broad universe of chemicals to which humans or the environment may be exposed, a sound testing strategy and robust test methods are urgently needed. Both subjects have been addressed by a specific OECD working group (EDTA-Endocrine Disruptor Testing and Assessment Task Force) involving regulatory agencies, the scientific community, chemical industry and NGOs. Like other organizations the OECD has adopted a tiered-testing strategy with the first tier using screening assays as quick and inexpensive tools, providing a way of generating alerts to potential endocrine activity that can be used to prioritize substances for definitive tests that then can determine the toxicological consequences of endocrine toxicity. The efforts of the OECD have therefore concentrated on the validation of specific screening and testing guidelines, like the uterotrophic, the Hershberger, and the "enhanced TG 407" test. The experimental testing necessary for this validation procedure is completed for the uterotrophic and the "enhanced TG 407" tests and near completion for the Hershberger assay. The data obtained so far have been published (for the uterotrophic assay) or will be submitted to the EDTA working group for final evaluation. Overall, the validation program has been very successful and should be sufficient for setting up OECD test guidelines for these experimental procedures. This will add substantially to the "tool-box" of OECD test methods that is available internationally to regulatory agencies and chemical industry for the identification and assessment of possible endocrine disruptors. Despite this success it is well recognized that the methodological "tool-box" should be supplemented by further screening and testing procedures related to effects on human health and the environment.
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Affiliation(s)
- H P Gelbke
- Department of Product Safety, GUP-Z 470, 67056 Ludwigshafen, Germany.
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Abstract
Hydroxyapatite has been shown to be biocompatible and bioactive. Incorporation of porosity has been shown to enhance osteointegration; however, difficulty in controlling the extent and type of porosity has limited investigation into determining the role of both macro- and microporosity. The current investigation reports on the synthesis of four types of phase-pure hydroxyapatite with varying levels of porosity (HA1-HA4), and with defined levels of macro- and microporosities. Transmission electron microscopy was used to evaluate qualitatively the effect of these two parameters on cell-material interactions following a 30-day incubation period. Biological mineralization was observed within vesicles and the needle-like minerals were confirmed as hydroxyapatite using X-ray microanalysis. This demonstrated the suitability of primary human osteoblast-like cells as a tool to assess the extent of mineralization. Furthermore, internalization of hydroxyapatite particles was observed. Our findings show that the variation in macro- and microporosity does not affect the extent of cell-material interaction, with collagen synthesis evident in all samples.
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Affiliation(s)
- B Annaz
- IRC in Biomedical Materials, Queen Mary University of London, Mile End Road, London E1 4NS, UK.
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Abstract
The biocompatibility of hydroxyapatite has been demonstrated by previous studies, with enhancement of osteointegration through the use of porous hydroxyapatite (pHA). Emphasis has been focused on the use of coralline hydroxyapatite or the introduction of macroporosity into synthetic hydroxyapatite. The current study investigates the role of macro- and microporosities in synthetic phase-pure porous hydroxyapatite on the morphological aspects of human osteoblast-like cells using scanning electron microscopy. Cells were seeded on four different types of porous hydroxyapatite (HA1, HA2, HA3 and HA4) and examined following 1, 2, 14 and 30 days of incubation in vitro. The results indicated that the cells had an affinity to micropores through filopodia extensions, at initial stage of attachment. Cellular proliferation and colonization was evident on all materials with cells forming cellular bridges across the macropores at day 14 with cellular canopy formation covering entire macropores observed by day 30. This study demonstrates that while the introduction of microporosity has no evident effect on cellular morphology at later time points, it seems to play a role in initial cellular anchorage and attachment.
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Affiliation(s)
- B Annaz
- IRC in Biomedical Materials, Queen Mary, University of London, Mile End Road, E1 4NS, UK.
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Holloway I, Kayser M, Lee DA, Bader DL, Bentley G, Knight MM. Increased presence of cells with multiple elongated processes in osteoarthritic femoral head cartilage. Osteoarthritis Cartilage 2004; 12:17-24. [PMID: 14697679 DOI: 10.1016/j.joca.2003.09.001] [Citation(s) in RCA: 35] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/02/2023]
Abstract
OBJECTIVE This study examined the morphology of chondrocytes in articular cartilage from osteoarthritic (OA) and non-OA human femoral heads and in particular the appearance of a sub-population of cells with multiple elongated processes radiating up to 30 microm into the extracellular matrix. METHODS Cartilage explants were removed from 8 anatomical sites over the surface of OA (n=6) and non-OA (n=5) femoral heads. Cells were labeled for vimentin intermediate filaments and visualized using epi-fluorescence and confocal microscopy. The percentage of cells with elongated processes was correlated with macroscopic and histological indicators of osteoarthritis. RESULTS Cells with processes accounted for less than 10% of the total cell population in non-OA cartilage. By contrast, in the peripheral regions of the OA femoral head these cells accounted for 20-45% of the total cell population, the differences being statistically significant. These peripheral areas are habitually non-load bearing and were also the most likely to show gross fibrillation and pannus formation. A statistically significant correlation was demonstrated between the percentage of cells with processes and the histological extent of the OA degradation, quantified in terms of the Mankin score. CONCLUSIONS The extension of cell processes, which may be associated with localized breakdown of the pericellular matrix, will undoubtedly alter numerous aspects of cell function including phenotypic expression and mechanotransduction. Hence these significant changes in chondrocyte morphology are likely to have important implications for the aetiology of osteoarthritis and the development of potential treatment strategies.
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Affiliation(s)
- I Holloway
- Institute of Orthopaedics, University College London Medical School, Brockley Hill, Stanmore, UK
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Kayser M. The Human Y-Chromosome - Introduction into Genetics and Applications. Forensic Sci Rev 2003; 15:77-89. [PMID: 26256726] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 06/04/2023]
Abstract
Human Y-chromosomal DNA analysis is becoming well established in forensic sciences. That is because human Y-chromosomal DNA polymorphisms are the only genetic markers that are able to specifically characterize and identify male culprit DNA in material from sexual assault or forcible rape cases where offenders are almost always males. Appropriate Y-chromosomal DNA markers evaluated for forensic applications with standardized nomenclature, typing and statistic methodology, and haplotype frequency databases are currently available to the forensic DNA community. As with any other kind of DNA evidence, the Y-chromosomal DNA analysis in forensic science requires not only a high standard of quality assurance but also appropriate scientific background knowledge to ensure correct interpretation of DNA profiles. The following overview article will provide an introduction to the molecular genetics of the human Y-chromosome and will discuss the advantages that Y-chromosomal DNA polymorphisms can offer to forensic applications, as well as the limitations to the types of information provided by the human Y-chromosome.
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Affiliation(s)
- M Kayser
- Department of Evolutionary Genetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
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Gill P, Brenner C, Brinkmann B, Budowle B, Carracedo A, Jobling MA, de Knijff P, Kayser M, Krawczak M, Mayr WR, Morling N, Olaisen B, Pascali V, Prinz M, Roewer L, Schneider PM, Sajantila A, Tyler-Smith C. DNA commission of the International Society of Forensic Genetics: recommendations on forensic analysis using Y-chromosome STRs. Int J Legal Med 2002; 114:305-9. [PMID: 11508794 DOI: 10.1007/s004140100232] [Citation(s) in RCA: 96] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
During the past few years the DNA commission of the International Society of Forensic Genetics has published a series of documents providing guidelines and recommendations concerning the application of DNA polymorphisms to the problems of human identification. This latest report addresses a relatively new area, namely Y-chromosome polymorphisms, with particular emphasis on short tandem repeats (STRs). This report addresses nomenclature, use of allelic ladders, population genetics and reporting methods.
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Affiliation(s)
- P Gill
- Forensic Science Service, Birmingham, UK
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Gill P, Brenner C, Brinkmann B, Budowle B, Carracedo A, Jobling MA, de Knijff P, Kayser M, Krawczak M, Mayr WR, Morling N, Olaisen B, Pascali V, Prinz M, Roewer L, Schneider PM, Sajantila A, Tyler-Smith C. DNA Commission of the International Society of Forensic Genetics: recommendations on forensic analysis using Y-chromosome STRs. Forensic Sci Int 2001; 124:5-10. [PMID: 11741752 DOI: 10.1016/s0379-0738(01)00498-4] [Citation(s) in RCA: 122] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
During the past few years, the DNA Commission of the International Society of Forensic Genetics has published a series of documents providing guidelines and recommendations concerning the application of DNA polymorphisms to the problems of human identification. This latest report addresses a relatively new area - namely, Y-chromosome polymorphisms, with particular emphasis on short tandem repeats (STRs). This report addresses nomenclature, use of allelic ladders, population genetics and reporting methods.
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Affiliation(s)
- P Gill
- Forensic Science Service, Trident Court, 2960 Solihull Parkway, Birmingham, UK
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Henke J, Henke L, Chatthopadhyay P, Kayser M, Dülmer M, Cleef S, Pöche H, Felske-Zech H. Application of Y-chromosomal STR haplotypes to forensic genetics. Croat Med J 2001; 42:292-7. [PMID: 11387642] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/20/2023] Open
Abstract
This paper delivers population genetic data on Y-chromosomal short tandem repeat (STR) polymorphisms along with reports of unusual observations and casework. Population studies were carried out on the Y-specific STR polymorphisms DYS19, DYS385 I+II, DYS389 I+II, DYS390, DYS391, DYS392, and DYS393 in population samples from North India, Turkey, and Germany. In all three populations the vast majority of haplotypes was observed only once, especially in the Turkish group. Highly unusual cases are reported. In a German individual, we observed the variant allele DYS392*11.1, whereas a Turkish haplotype revealed a duplication at locus DYS19. Application of Y-chromosomal STR markers to forensic genetics was demonstrated in two cases: 1) a deficient paternity case, and 2) a father/son pair, where the Amelogenin primers failed to amplify the Y-homolog. In forensic genetics, Y-chromosomal STR polymorphisms are highly welcomed as an additional tool.
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Affiliation(s)
- J Henke
- Institut fuer Blutgruppenforschung, Hohenzollernring 57, D-50672 Koeln, Germany.
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Roewer L, Krawczak M, Willuweit S, Nagy M, Alves C, Amorim A, Anslinger K, Augustin C, Betz A, Bosch E, Cagliá A, Carracedo A, Corach D, Dekairelle AF, Dobosz T, Dupuy BM, Füredi S, Gehrig C, Gusmaõ L, Henke J, Henke L, Hidding M, Hohoff C, Hoste B, Jobling MA, Kärgel HJ, de Knijff P, Lessig R, Liebeherr E, Lorente M, Martínez-Jarreta B, Nievas P, Nowak M, Parson W, Pascali VL, Penacino G, Ploski R, Rolf B, Sala A, Schmidt U, Schmitt C, Schneider PM, Szibor R, Teifel-Greding J, Kayser M. Online reference database of European Y-chromosomal short tandem repeat (STR) haplotypes. Forensic Sci Int 2001; 118:106-13. [PMID: 11311820 DOI: 10.1016/s0379-0738(00)00478-3] [Citation(s) in RCA: 163] [Impact Index Per Article: 7.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
The reference database of highly informative Y-chromosomal short tandem repeat (STR) haplotypes (YHRD), available online at http://ystr.charite.de, represents the largest collection of male-specific genetic profiles currently available for European populations. By September 2000, YHRD contained 4688 9-locus (so-called "minimal") haplotypes, 40% of which have been extended further to include two additional loci. Establishment of YHRD has been facilitated by the joint efforts of 31 forensic and anthropological institutions. All contributing laboratories have agreed to standardize their Y-STR haplotyping protocols and to participate in a quality assurance exercise prior to the inclusion of any data. In view of its collaborative character, and in order to put YHRD to its intended use, viz. the support of forensic caseworkers in their routine decision-making process, the database has been made publicly available via the Internet in February 2000. Online searches for complete or partial Y-STR haplotypes from evidentiary or non-probative material can be performed on a non-commercial basis, and yield observed haplotype counts as well as extrapolated population frequency estimates. In addition, the YHRD website provides information about the quality control test, genotyping protocols, haplotype formats and informativity, population genetic analysis, literature references, and a list of contact addresses of the contributing laboratories.
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Affiliation(s)
- L Roewer
- Institut für Rechtsmedizin, Humboldt Universität, Hannoversche Strasse 6, D-10115, Berlin, Germany
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