Previous studies identified the gene encoding the erythrocyte membrane protein 4.2 (Epb4.2) as a candidate for the mouse mutation pallid (pa); Epb4.2 genetically colocalized near pa on mouse Chromosome 2, and a truncated Epb4.2 transcript was present in tissues derived from pallid mice. We report here evidence that Epb4.2 and pa are not allelic. The pallid cDNA and intron/exon boundaries show no significant variation from the known BALB/c and C57BL/6J Epb4.2 sequence, and normal immunoreactive 72-kDa protein 4.2 is present in pallid tissues. Two recombinations between Epb4.2 and pa were identified in 173 phenotypically mutant (C57BL/6J-pa/pa x Mus castaneus) F2 animals. Northern blotting reveals a truncated Epb4.2 transcript in kidney mRNA from normal wild Mus domesticus (WSB/Ei) mice that comigrates with the pallid Epb4.2 mRNA. As the pa mutation originally arose in a wild M. domesticus mouse, we conclude that the Epb4.2 mRNA characteristic of pallid is a normal polymorphism derived from its wild ancestor and that Epb4.2 and pa are distinct loci.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1006/geno.1997.4764 | DOI Listing |
Turk J Haematol
January 2025
Marmara University Faculty of Medicine, Department of Medical Genetics, İstanbul, Türkiye.
Objective: This study aims to determine the genotypic characteristics of Hereditary Spherocytosis (HS) patients in Turkiye and to examine the correlation between genotype and phenotype.
Materials And Methods: Herein we had 18 patients who were admitted to pediatric hematology outpatient clinic with hemolytic anemia, jaundice, cholelithiasis, and splenomegaly. According to the Eber's classification, the patients' clinical presentations were categorized as mild, moderate, and severe.
Genes (Basel)
October 2024
Department of Biological and Biomedical Sciences, North Carolina Central University, Durham, NC 27707, USA.
G3 (Bethesda)
January 2025
Department of Biostatistics, Yale School of Public Health, Yale University, New Haven, CT 06510, USA.
As human complex diseases are influenced by the interaction between genetics and the environment, identifying gene-environment interactions (G×E) is crucial for understanding disease mechanisms and predicting risk. Developing robust quantitative tools for G×E analysis can enhance the study of complex diseases. However, many existing methods that explore G×E focus on the interplay between an environmental factor and genetic variants, exclusively for common or rare variants.
View Article and Find Full Text PDFIran J Public Health
June 2024
Blood Transfusion Research Center, High Institute for Research and Education in Transfusion Medicine, Iranian Blood Transfusion Organization (IBTO), Tehran, Iran.
Clin Chim Acta
January 2025
State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China; Tianjin Institutes of Health Science, Tianjin, China. Electronic address:
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!