Summary: Karyotype data are the most common form of genetic data that is regularly used clinically. They are collected as part of the standard of care in many diseases, particularly in pediatric and cancer medicine contexts. Karyotypes are represented in a unique text-based format, with a syntax defined by the International System for human Cytogenetic Nomenclature (ISCN). While human-readable, ISCN is not intrinsically machine-readable. This limitation has prevented the full use of complex karyotype data in discovery science use cases. To enhance the utility and value of karyotype data, we developed a tool named CytoGPS. CytoGPS first parses ISCN karyotypes into a machine-readable format. It then converts the ISCN karyotype into a binary Loss-Gain-Fusion (LGF) model, which represents all cytogenetic abnormalities as combinations of loss, gain, or fusion events, in a format that is analyzable using modern computational methods. Such data is then made available for comprehensive 'downstream' analyses that previously were not feasible.
Availability And Implementation: Freely available at http://cytogps.org.
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http://dx.doi.org/10.1093/bioinformatics/btz520 | DOI Listing |
Rev Paul Pediatr
January 2025
Universidade Federal do Paraná, Curitiba, PR, Brazil.
Objective: To investigate the presence of metabolic dysfunction-associated fatty liver disease (MAFLD) and gallbladder abnormalities in a sample of people with Down syndrome in Brazil.
Methods: This is a retrospective study using medical charts involving Down syndrome patients, diagnosed by karyotype, aged over 5 years, who underwent abdominal ultrasound and were monitored by the same professional in a clinic in Curitiba, Brazil. Data spanned January 1995 to September 2023; all cases with no use of alcohol or hepatotoxic medications.
Int J Gynaecol Obstet
January 2025
Scientific Centre of Obstetrics, Gynecology and Perinatology, Almaty, Republic of Kazakhstan.
Objective: Despite numerous studies on the causes of recurrent pregnancy loss (RPL), nearly half of cases remain unidentified, which determines the research relevance. This study aims to investigate microchromosomal variations in the fetal genome associated with the development of idiopathic RPL.
Methods: The research was supported by the Centre for Molecular Medicine and the Research Institute of Obstetrics, Gynecology and Perinatology and conducted over a period of 2 years.
Acta Obstet Gynecol Scand
January 2025
Department of Biomedical Sciences, Humanitas University, Milan, Italy.
Introduction: Recurrent pregnancy loss (RPL), defined as two or more consecutive pregnancy losses before 24 weeks of gestation, affects up to 1%-2% of couples. Aim of this retrospective cohort study was to report the main causes and pregnancy outcomes of a cohort of women with RPL and the efficacy of a personalized work-up and treatment in terms of live birth rate.
Material And Methods: Women with primary (pRPL) and secondary (sRPL) RPL underwent a complete work-up and personalized therapeutic management.
J Clin Lab Anal
January 2025
Department of Urology, Zhongshan People's Hospital, ZhongShan, China.
Objective: To explore the impact of in vitro cell subculture on prenatal diagnostic sample results and compare the efficacy of conventional karyotyping and chromosomal microarray analysis (CMA) in detecting chromosome mosaicism.
Methods: We conducted a retrospective analysis of G-banding karyotyping and CMA data from 2007 amniocentesis cases to investigate chromosome mosaicism.
Results: Chromosome mosaicism was detected in 1.
J Pediatr Endocrinol Metab
January 2025
Department of Genetics, Reproductive Biomedicine Research Center, 48499 Royan Institute for Reproductive Biomedicine, ACECR , Tehran, Iran.
Differences of sex development (DSD) refer to various congenital conditions affecting the urogenital and hormonal systems. Accurate diagnosis and personalized management are crucial for supporting patients through complex decisions, such as those related to gender identity. This study represents the first comprehensive investigation into DSD in Iran, analyzing patient's clinical and genetic data between 1991 and 2020.
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