Your browser doesn't support javascript.
loading
Detection of chromosomal aneuploidy in ancient genomes.
Anastasiadou, Kyriaki; Silva, Marina; Booth, Thomas; Speidel, Leo; Audsley, Tony; Barrington, Christopher; Buckberry, Jo; Fernandes, Diana; Ford, Ben; Gibson, Mark; Gilardet, Alexandre; Glocke, Isabelle; Keefe, Katie; Kelly, Monica; Masters, Mackenzie; McCabe, Jesse; McIntyre, Lauren; Ponce, Paola; Rowland, Stephen; Ruiz Ventura, Jordi; Swali, Pooja; Tait, Frankie; Walker, David; Webb, Helen; Williams, Mia; Witkin, Annsofie; Holst, Malin; Loe, Louise; Armit, Ian; Schulting, Rick; Skoglund, Pontus.
Afiliação
  • Anastasiadou K; Ancient genomics laboratory, The Francis Crick Institute, London, United Kingdom. kyriaki.anastasiadou@crick.ac.uk.
  • Silva M; Ancient genomics laboratory, The Francis Crick Institute, London, United Kingdom.
  • Booth T; Ancient genomics laboratory, The Francis Crick Institute, London, United Kingdom.
  • Speidel L; Ancient genomics laboratory, The Francis Crick Institute, London, United Kingdom.
  • Audsley T; Genetics Institute, University College London, London, United Kingdom.
  • Barrington C; Independent Scholar, Wells, United Kingdom.
  • Buckberry J; Bioinformatics and Biostatistics Science Technology Platform, The Francis Crick Institute, London, United Kingdom.
  • Fernandes D; School of Archaeological and Forensic Sciences, University of Bradford, Bradford, United Kingdom.
  • Ford B; Network Archaeology, Lincoln, United Kingdom.
  • Gibson M; Oxford Archaeology, Oxford, United Kingdom.
  • Gilardet A; Oxford Archaeology, Oxford, United Kingdom.
  • Glocke I; Ancient genomics laboratory, The Francis Crick Institute, London, United Kingdom.
  • Keefe K; Ancient genomics laboratory, The Francis Crick Institute, London, United Kingdom.
  • Kelly M; York Osteoarchaeology, York, United Kingdom.
  • Masters M; On-Site Archaeology, York, United Kingdom.
  • McCabe J; Ancient genomics laboratory, The Francis Crick Institute, London, United Kingdom.
  • McIntyre L; York Osteoarchaeology, York, United Kingdom.
  • Ponce P; Department of Archaeology, University of York, York, United Kingdom.
  • Rowland S; Ancient genomics laboratory, The Francis Crick Institute, London, United Kingdom.
  • Ruiz Ventura J; Oxford Archaeology, Oxford, United Kingdom.
  • Swali P; York Osteoarchaeology, York, United Kingdom.
  • Tait F; Department of Archaeology, University of York, York, United Kingdom.
  • Walker D; Oxford Archaeology, Oxford, United Kingdom.
  • Webb H; York Osteoarchaeology, York, United Kingdom.
  • Williams M; Department of Archaeology, University of York, York, United Kingdom.
  • Witkin A; Ancient genomics laboratory, The Francis Crick Institute, London, United Kingdom.
  • Holst M; Ancient genomics laboratory, The Francis Crick Institute, London, United Kingdom.
  • Loe L; Wells and Mendip Museum, Wells, United Kingdom.
  • Armit I; Oxford Archaeology, Oxford, United Kingdom.
  • Schulting R; Ancient genomics laboratory, The Francis Crick Institute, London, United Kingdom.
  • Skoglund P; Oxford Archaeology, Oxford, United Kingdom.
Commun Biol ; 7(1): 14, 2024 01 11.
Article em En | MEDLINE | ID: mdl-38212558
ABSTRACT
Ancient DNA is a valuable tool for investigating genetic and evolutionary history that can also provide detailed profiles of the lives of ancient individuals. In this study, we develop a generalised computational approach to detect aneuploidies (atypical autosomal and sex chromosome karyotypes) in the ancient genetic record and distinguish such karyotypes from contamination. We confirm that aneuploidies can be detected even in low-coverage genomes ( ~ 0.0001-fold), common in ancient DNA. We apply this method to ancient skeletal remains from Britain to document the first instance of mosaic Turner syndrome (45,X0/46,XX) in the ancient genetic record in an Iron Age individual sequenced to average 9-fold coverage, the earliest known incidence of an individual with a 47,XYY karyotype from the Early Medieval period, as well as individuals with Klinefelter (47,XXY) and Down syndrome (47,XY, + 21). Overall, our approach provides an accessible and automated framework allowing for the detection of individuals with aneuploidies, which extends previous binary approaches. This tool can facilitate the interpretation of burial context and living conditions, as well as elucidate past perceptions of biological sex and people with diverse biological traits.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Síndrome de Down / Síndrome de Klinefelter Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Síndrome de Down / Síndrome de Klinefelter Idioma: En Ano de publicação: 2024 Tipo de documento: Article