Inter-individual DNA methylation variations were frequently hypothesized to alter individual susceptibility to Type 2 Diabetes Mellitus (T2DM). Sequence-influenced methylations were described in T2DM-associated genomic regions, but evidence for direct, sequence-independent association with disease risk is missing. Here, we explore disease-contributing DNA methylation through a stepwise study design: first, a pool-based, genome-scale screen among 1169 case and control individuals revealed an excess of differentially methylated sites in genomic regions that were previously associated with T2DM through genetic studies. Next, in-depth analyses were performed at selected top-ranking regions. A CpG site in the first intron of the FTO gene showed small (3.35%) but significant (P = 0.000021) hypomethylation of cases relative to controls. The effect was independent of the sequence polymorphism in the region and persists among individuals carrying the sequence-risk alleles. The odds of belonging to the T2DM group increased by 6.1% for every 1% decrease in methylation (OR = 1.061, 95% CI: 1.032-1.090), the odds ratio for decrease of 1 standard deviation of methylation (adjusted to gender) was 1.5856 (95% CI: 1.2824-1.9606) and the sensitivity (area under the curve = 0.638, 95% CI: 0.586-0.690; males = 0.675, females = 0.609) was better than that of the strongest known sequence variant. Furthermore, a prospective study in an independent population cohort revealed significant hypomethylation of young individuals that later progressed to T2DM, relative to the individuals who stayed healthy. Further genomic analysis revealed co-localization with gene enhancers and with binding sites for methylation-sensitive transcriptional regulators. The data showed that low methylation level at the analyzed sites is an early marker of T2DM and suggests a novel mechanism by which early-onset, inter-individual methylation variation at isolated non-promoter genomic sites predisposes to T2DM.
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http://dx.doi.org/10.1093/hmg/ddr472 | DOI Listing |
PLoS One
January 2025
Hongqi Hospital of Mudanjiang Medical University, Mudanjiang, Heilongjiang, China.
DNA methylation is known to be associated with cataracts. In this study, we used a mouse model and performed DNA methylation and transcriptome sequencing analyses to find epigenetic indicators for age-related cataracts (ARC). Anterior lens capsule membrane tissues from young and aged mice were analyzed by MethylRAD-seq to detect the genome-wide methylation of extracted DNA.
View Article and Find Full Text PDFJAMA Oncol
January 2025
Department of Urology, Seoul National University Hospital, Seoul, Republic of Korea.
Importance: An accurate noninvasive biomarker test is needed for the early diagnosis of bladder cancer.
Objective: To evaluate the performance of a urinary DNA methylation test (PENK methylation) and compare its diagnostic accuracy with that of the nuclear matrix protein 22 (NMP22) test or urine cytology test.
Design, Setting, And Participants: In this prospective multicenter study at 10 sites in the Republic of Korea, individuals 40 years and older with hematuria undergoing cystoscopy within 3 months between March 11, 2022, and May 30, 2024, participated.
Environ Epigenet
December 2024
Institute of Clinical Science B, Royal Victoria Hospital, Centre for Public Health, Queens' University Belfast, Grosvenor Rd, Belfast BT12 6BA, United Kingdom.
The increasing prevalence of neurodegenerative diseases poses a significant public health challenge, prompting a growing focus on addressing modifiable risk factors of disease (e.g. physical inactivity, mental illness, and air pollution).
View Article and Find Full Text PDFInt J Genomics
January 2025
Department of Medicine, Xinyang Vocational and Technical College, Xinyang, Henan, China.
Recently, exportin gene family members have been demonstrated to play essential roles in tumor progression. However, research on the clinical significance of exportin gene family members is limited in clear cell renal cell carcinoma (ccRCC). Pan-cancer data, ccRCC multiomics data, and single-cell sequence were included to analyze the differences in DNA methylation modification, single nucleotide variations (SNVs), copy number variations (CNVs), and expression levels of exportin gene family members.
View Article and Find Full Text PDFIndian J Endocrinol Metab
December 2024
Rajiv Gandhi Centre for Diabetes and Endocrinology, J N Medical College and Hospital, Aligarh Muslim University, Aligarh, Uttar Pradesh, India.
Type 2 diabetes (T2D) is a long-term metabolic condition that presents considerable health challenges globally. As the disease progresses, the interplay between genetic, environmental, and lifestyle factors becomes increasingly evident, leading to complications. Epigenetics has emerged as a critical area of research, providing insights into how these factors can modify the expression and cellular behavior without altering the underlying DNA sequence.
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