Objective: To evaluate the genotype-phenotype relationship and the effect of treatment on the clinical course of osteogenesis imperfecta (OI).
Methods: We established a Chinese hospitalized cohort with OI and followed them up for an average of 6 years. All patients were confirmed as having OI using whole-exome sequencing. We analyzed the genotype-phenotype relationship based on different types, pathogenic mechanisms, and gene inheritance patterns of OI. Additionally, we assessed whether there was a difference in treatment efficacy based on genotype.
Results: One hundred sixteen mutations in 6 pathogenic genes (COL1A1, COL1A2, IFITM5, SERPINF1, FKBP10, and WNT1) were identified in 116 patients with type I, III, IV, V, VI, XI, or XV OI. Compared with patients with COL1A1 mutations, patients with COL1A2 mutations were younger at the time of the first fracture, whereas other phenotypes were similar. When 3 groups (helical, haploinsufficiency, and non-collagen I gene mutations) were compared, patients with helical mutations were the shortest and most prone to dentinogenesis imperfecta. Patients with haploinsufficiency mutations were the oldest at the time of the first fracture. Moreover, patients with non-collagen I gene mutations were least susceptible to blue sclerae and had the highest fracture frequency. Furthermore, there were some minor phenotypic differences among non-collagen I gene mutations. Interestingly, pamidronate achieved excellent results in the treatment of patients with OI, and the treatment effect appeared to be unrelated to their genotypes.
Conclusion: Our findings indicated a genotype-phenotype relationship and a similar effect of pamidronate treatment in patients with OI, which could provide a basis for guiding clinical treatment and predicting OI prognosis.
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http://dx.doi.org/10.1016/j.eprac.2022.05.003 | DOI Listing |
Nat Comput Sci
January 2025
Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, USA.
How complex phenotypes emerge from intricate gene expression patterns is a fundamental question in biology. Integrating high-content genotyping approaches such as single-cell RNA sequencing and advanced learning methods such as language models offers an opportunity for dissecting this complex relationship. Here we present a computational integrated genetics framework designed to analyze and interpret the high-dimensional landscape of genotypes and their associated phenotypes simultaneously.
View Article and Find Full Text PDFSci Total Environ
January 2025
Institute of Plant Sciences, University of Bern, Bern, Switzerland; Oeschger Centre for Climate Change Research, University of Bern, Bern, Switzerland.
Abies alba Mill. is a prominent European tree species predominantly inhabiting cool and humid montane environments. However, paleoecological evidence reveals that during the Eemian and mid-Holocene, A.
View Article and Find Full Text PDFMol Autism
January 2025
Biosciences Institute, Newcastle University, Newcastle upon Tyne, UK.
Background: Significant progress has been made in elucidating the genetic underpinnings of Autism Spectrum Disorder (ASD). However, there are still significant gaps in our understanding of the link between genomics, neurobiology and clinical phenotype in scientific discovery. New models are therefore needed to address these gaps.
View Article and Find Full Text PDFInt J Biol Macromol
January 2025
Department of Molecular Pharmacology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, Tianjin's Clinical Research Center for Cancer, Tianjin 300060, China. Electronic address:
DNA-encoded libraries are invaluable tools for high-throughput screening and functional genomics studies. However, constructing high-abundance libraries in mammalian cells remains challenging. Here, we present dsDNA-assembly-PCR (dsDAP), a novel Gibson-assembly-PCR strategy for creating DNA-encoded libraries, offering improved flexibility and efficiency over previous methods.
View Article and Find Full Text PDFFront Genet
January 2025
Center of Cellular and Genetic Science, Henan Academy of Sciences, Zhengzhou, China.
High-altitude adaptation is a remarkable example of natural selection, yet the genomic and physiological adaptation mechanisms of Ethiopian highlanders remain poorly understood compared to their Andean and Tibetan counterparts. Ethiopian populations, such as the Amhara and Oromo, exhibit unique adaptive strategies characterized by moderate hemoglobin levels and enhanced arterial oxygen saturation, indicating distinct mechanisms of coping with chronic hypoxia. This review synthesizes current genomic insights into Ethiopian high-altitude adaptation, identifying key candidate genes involved in hypoxia tolerance and examining the influence of genetic diversity and historical admixture on adaptive responses.
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