DNA Methylation Patterns of Behavioural Disorders: A Cross-trait Analysis

الموضوعات

طب

الملخص

DNA methylation is a key mechanism in epigenetics, influenced by environmental factors and disorders that cause changes in methylation patterns across DNA strands. These changes can affect phenotype without altering nucleotide sequences, often silencing genes through hypermethylation at promoter regions. Persistent methylation alterations may lead to mutations, prompting researchers to study DNA methylation biomarkers associated with diseases, with cancers being the most extensively investigated. Other disorders receive much less attention, and so do environmental factors. The motive of this study originates from the principle that prevention is better than treatment, particularly when the mechanisms of certain disorders remain unclear, with no established risk factors. Psychiatric conditions and behavioural disorders exemplify this issue, as most lack definitive treatments. Moreover, the diversity and overlap of symptoms complicate diagnosis further. Available medications for these conditions often come with side effects, especially when used long-term. This has inspired us to explore potential environmental contributions to such disorders, with the goal of improving individuals' quality of life without necessarily relying on medication, or at least minimizing its use. In addition, identifying potential environmental factors or epigenetic biomarkers can raise awareness about disease prognosis and ultimately help reduce incidence rates. Micro array data for 9 different phenotypes (Total 145 Subjects) were analysed for significant DMRs, with the results being gene-enriched prior to cross-comparison. From a technical standpoint, a comprehensive literature review on data preprocessing methods was conducted. Consequently, the tools used for analysis were selected based on recent advancements and literature recommendations. SeSAMe from R Bioconductor was employed for its modern p-value calculation method and comprehensive QC masking. This was followed by additional customized QC steps to minimize imputation of masked values and ensure high data quality. DMRs were detected using the Limma package, with FDR correction applied. While the alteration in methylation levels detected in this study was generally limited to single-probe differentiation, several DMPs were shared at the gene level. Both CD81 and MAD1L1 exhibit hypomethylation associated with DLD and one or two Alzheimer's groups. Interestingly, CD81 has been reported as upregulated in Alzheimer's candidates in a study using prefrontal cortex tissue samples. Therefore, our research, along with other studies, provides further evidence supporting the potential of peripheral blood biomarkers in reflecting neurological symptomatology. MAD1L1, on the other hand, has been frequently discussed in existing literature regarding the methylation of the same gene in psychiatric and environmental contexts. These findings should encourage further investigation of MAD1L1 to explore its potential role in neuropsychiatric symptoms. The study also emphasizes the need for standardized methods tailored to specific cell types or phenotypes. Such standardization would improve result consistency and enhance the reliability of DNA methylation analysis, particularly for diseases that lacks global methylation changes.

روابط وملفات

التعريف والنوع

رقم الوثيقة

ff6dcdce-372b-4868-a110-04ab40951164

رقم العقد

0

نوع الوسائط

Crawler

نوع المحتوى

الرسائل العلمية

صيغة المصدر

رسائل ماجيستير

نوع الملف

pdf text

أسماء الملفات

ff6dcdce-372b-4868-a110-04ab40951164_1.pdf

بيانات النشر

ألقاب المؤلفين

[{"name_ar":"سعيد عمر سعدو","title_ar":"اعداد","title_en":"Preparation"},{"name_ar":"ينال أحمد القدسي","title_ar":"اشراف","title_en":"Supervision"}]

اللغة

English

المصدر والدورية

اسم المصدر

DNA Methylation Patterns of Behavioural Disorders: A Cross-trait Analysis

المحتوى والصفحات

عدد الصفحات

0

إشراف وإعداد

الإشراف

ينال أحمد القدسي

الإعداد

سعيد عمر سعدو

الاقتباسات الببليوغرافية