Magdalena Spólnicka
Nicolaus Copernicus University in Toruń
38 Papers
70 Citations
Magdalena Spólnicka is an academic researcher from Nicolaus Copernicus University in Toruń. The author has contributed to research in topics: Population & Biology. The author has an hindex of 11, co-authored 30 publications. Previous affiliations of Magdalena Spólnicka include Medical University of Warsaw.
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Papers
Development of a forensically useful age prediction method based on DNA methylation analysis.
Renata Zbieć-Piekarska,Magdalena Spólnicka,Tomasz Kupiec,Agnieszka Parys-Proszek,Żanetta Makowska,Anna Pałeczka,Krzysztof Kucharczyk,Rafał Płoski,Wojciech Branicki +8 more
TL;DR: This study analysed eight DNA methylation candidate loci using convenient and reliable pyrosequencing technology and developed a deterministic age prediction model that was deterministic for individuals belonging to these two extreme age categories.
325
Examination of DNA methylation status of the ELOVL2 marker may be useful for human age prediction in forensic science.
Renata Zbieć-Piekarska,Magdalena Spólnicka,Tomasz Kupiec,Żanetta Makowska,Anna Spas,Agnieszka Parys-Proszek,Krzysztof Kucharczyk,Rafał Płoski,Wojciech Branicki +8 more
TL;DR: The obtained results show that the ELOVL2 locus provides a very good source of information about human chronological age based on analysis of blood, including bloodstains, and it may constitute a powerful and reliable predictor in future forensic age estimation models.
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DNA methylation in ELOVL2 and C1orf132 correctly predicted chronological age of individuals from three disease groups.
Magdalena Spólnicka,Ewelina Pośpiech,Beata Pepłońska,Renata Zbieć-Piekarska,Żanetta Makowska,Agnieszka Pięta,Joanna Karłowska-Pik,Bartosz Ziemkiewicz,Michalina Wezyk,Piotr Gasperowicz,Tomasz Bednarczuk,Maria Barcikowska,Cezary Żekanowski,Rafał Płoski,Wojciech Branicki +14 more
TL;DR: High utility of the ELOVL2 and C1orf132 markers for prediction of chronological age in forensics is emphasized by showing unchanged prediction accuracy in individuals affected by three diseases, and artificial neural networks could be a convenient alternative for the forensic predictive DNA analyses.
Development of the VISAGE enhanced tool and statistical models for epigenetic age estimation in blood, buccal cells and bones
Anna Woźniak,Antonia Heidegger,Danuta Piniewska-Róg,Ewelina Pośpiech,Catarina Xavier,Aleksandra Pisarek,Ewa Kartasinska,Michał Boroń,Ana Freire-Aradas,Marta Wojtas,Maria de la Puente,Maria de la Puente,Harald Niederstätter,Rafał Płoski,Magdalena Spólnicka,Manfred Kayser,Christopher Phillips,Walther Parson,Walther Parson,Wojciech Branicki +19 more
- 11 Mar 2021
TL;DR: The VISAGE (VISible Attributes through GEnomics) Consortium's enhanced tool for epigenetic age estimation in somatic tissues as discussed by the authors is based on eight DNA methylation markers (44 CpGs), bisulfite multiplex PCR followed by sequencing on the MiSeq FGx platform, and three statistical prediction models for blood, buccal cells and bones.
Development and validation of the VISAGE AmpliSeq basic tool to predict appearance and ancestry from DNA.
Catarina Xavier,Maria de la Puente,Ana Mosquera-Miguel,Ana Freire-Aradas,Vivian Kalamara,Athina Vidaki,Theresa E. Gross,Andrew P. Revoir,Ewelina Pośpiech,Ewa Kartasinska,Magdalena Spólnicka,Wojciech Branicki,Carole Ames,Peter M. Schneider,Carsten Hohoff,Manfred Kayser,Christopher Phillips,Walther Parson,Walther Parson +18 more
TL;DR: The first VISAGE appearance and ancestry tool development, performance and validation is reported, showing a robust, highly sensitive assay with good overall concordance between laboratories.