Association of HLA and diseases is well known. Several population studies are available suggesting evidence of association of HLAs in more than 40 diseases. HLA found across various populations vary widely. Some of the reasons attributed for such variation are occurrence of social stratification based on geography, language and religion, consequences of founder effect, racial admixture or selection pressure due to environmental factors. Hence certain HLA alleles that are predominantly associated with disease susceptibility or resistance in one population may or may not show any association in other populations for the same disease. Despite of these limitations, HLA associations are widely studied across the populations worldwide and are found to be important in prediction of disease susceptibility, resistance and of evolutionary maintenance of genetic diversity. This review consolidates the HLA data on some prominent autoimmune and infectious diseases among various ethnic groups and attempts to pinpoint differences in Indian and other population.
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http://dx.doi.org/10.1007/s10654-005-5081-x | DOI Listing |
Ann Med
December 2025
Department of General Practice, Hainan affiliated Hospital of Hainan Medical University, Hainan General Hospital, Haikou, China.
Background: Although existing studies have identified some genetic loci associated with chronic obstructive pulmonary disease (COPD) susceptibility, many variants remain to be discovered. The aim of this study was to further explore the potential relationship between single nucleotide polymorphisms (SNPs) and COPD risk.
Methods: Nine hundred and ninety-six subjects were recruited (498 COPD cases and 498 healthy controls).
Plant Cell Rep
January 2025
Department of Tea Science, College of Horticulture Science, South China Agricultural University, Guangzhou, 510642, China.
Integration of resistance indicators, metabolomes, and transcriptomes to elucidate that there is a positive correlation between disease susceptibility and cold tolerance in tea plants. The flavonoid pathway was found to be the major metabolic and transcriptional enrichment pathway. A key domain NB-ARC was identified through joint analysis, along with analysis of key domains within the NB-ARC protein.
View Article and Find Full Text PDFFoodborne Pathog Dis
January 2025
Department of Animal and Plant Quarantine Agency, Bacterial Disease Division, Gimcheon-si, Republic of Korea.
Antimicrobial-resistant bacterial contamination of meat poses a significant global public health risk. We aimed to determine antimicrobial resistance profiles and trends of recovered from carcasses of healthy food-producing animals in South Korea during 2010-2023. In total, 4748 isolates obtained from cattle ( = 1582), pigs ( = 1572), and chickens ( = 1594) were assessed for susceptibility to 12 antimicrobials.
View Article and Find Full Text PDFJ Bacteriol
January 2025
Department of Population Medicine and Diagnostic Sciences, Cornell University, Ithaca, New York, USA.
and are two phylogenetically related bacterial pathogens that exhibit extreme intrinsic resistance when they enter into a dormancy-like state. This enables both pathogens to survive extended periods in growth-limited environments. Survival is dependent upon their ability to undergo developmental transitions into two phenotypically distinct variants, one specialized for intracellular replication and another for prolonged survival in the environment and host.
View Article and Find Full Text PDFCirc Genom Precis Med
January 2025
CARIM School for Cardiovascular Diseases (A.I., S.Z., J.W., B.B., H.J.G.M.C., B.H., M.K., S.V., U.S., M.S.), Maastricht University, the Netherlands.
Background: Transcriptional dysregulation, possibly affected by genetic variation, contributes to disease development. Due to dissimilarities in development, function, and remodeling during disease progression, transcriptional differences between the left atrial (LA) and right atrial (RA) may provide insight into diseases such as atrial fibrillation.
Methods: Lateral differences in atrial transcription were evaluated in CATCH ME (Characterizing Atrial fibrillation by Translating its Causes into Health Modifiers in the Elderly) using a 2-stage discovery and replication design.
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