مشخصات مقاله | |
ترجمه عنوان مقاله | فرضیه پنهان در “نظریه آزاد” همخوانی های اپی ژنتیک سراسر ژنوم |
عنوان انگلیسی مقاله | Hidden hypotheses in ‘hypothesis-free’ genome-wide epigenetic associations |
انتشار | مقاله سال 2019 |
تعداد صفحات مقاله انگلیسی | 5 صفحه |
هزینه | دانلود مقاله انگلیسی رایگان میباشد. |
پایگاه داده | نشریه الزویر |
نوع نگارش مقاله | مقالات مروری (review article) |
مقاله بیس | این مقاله بیس نمیباشد |
نمایه (index) | scopus – master journals – MedLine |
نوع مقاله | ISI |
فرمت مقاله انگلیسی | |
شاخص H_index | 15 در سال 2019 |
شاخص SJR | 1.53 در سال 2019 |
رشته های مرتبط | پزشکی، روانشناسی |
گرایش های مرتبط | ژنتیک پزشکی، روانشناسی بالینی |
نوع ارائه مقاله | ژورنال |
مجله / کنفرانس | نظرات رایج در روانشناسی – Current Opinion in Psychology |
دانشگاه | Department of Psychology – Institute of Psychiatry – King’s College London – UK |
شناسه دیجیتال – doi |
https://doi.org/10.1016/j.copsyc.2018.07.009 |
کد محصول | E9408 |
وضعیت ترجمه مقاله | ترجمه آماده این مقاله موجود نمیباشد. میتوانید از طریق دکمه پایین سفارش دهید. |
دانلود رایگان مقاله | دانلود رایگان مقاله انگلیسی |
سفارش ترجمه این مقاله | سفارش ترجمه این مقاله |
فهرست مطالب مقاله: |
Hidden hypothesis 1: EWAS coverage is sufficient for complex psychiatric problems Hidden hypothesis 2: peripheral tissue is meaningful for mental health problem(s) Hidden hypothesis 3: biological relevance for the phenotype of interest Recommendation for hidden hypothesis 1: EWAS coverage Recommendation for hidden hypothesis 2: peripheral tissue and phenotype Recommendation for hidden hypothesis 3: phenotype and biology Conclusion Conflict of interest statement References and recommended reading Acknowledgement References |
بخشی از متن مقاله: |
Hidden hypothesis 1: EWAS coverage is sufficient for complex psychiatric problems Array-based platforms have become widespread in psychology research, largely due to their ease of use, relatively high through-put, and well standardised and validated pipelines for processing, quality control, and analysis techniques. In particular, the Illumina 450k and EPIC arrays feature 480 000–850 000 probes targeting nearly 99% of RefSeq genes, as well as a range of other genomic categories, such as CpG islands, shores and shelves, miRNA promoters and enhancers, where DNAm can be influenced by and/or impact transcription in distal genomic regions [11]. Compared with the Ilumina 450k, the newer Illumina EPIC 850k array provides much greater coverage of ENCODE and FANTOM5 enhancers [12], and shows higher genetic influence underlying DNAm probes [13]. Nevertheless, these microarrays are limited in the number ofsites they can assess, and thus lack true genome-wide measurements [14]. Furthermore, during the design process of the 450k and EPIC arrays, CpG sites were chosen as potentially biologically informative based on consultation with a consortium of DNA methylation experts [15]. Whilst the coverage of genes and CpG islands on these microarrays are comprehensive, it does not represent a complete picture of methylated cytosines across the genome. Selection was, in part, based on data from a number of phenotypes (some medical in nature such as cancer), and thus is not specifically targeted to brain-based, stress-related complex mental health phenotypes. This is an important point: if a sizeable proportion of the CpG sites tested are not relevant to the phenotype of interest, the likelihood of detecting relevant results is reduced. Hidden hypothesis 2: peripheral tissue is meaningful for mental health problem(s) The second hidden hypothesis relates to the tissue that is used to quantify DNAm. The majority of mental health research is based on DNAm profiles obtained from peripheral tissues from living persons, such as blood and saliva. When investigating outcomes such as conduct disorder or depression, however, the brain is often the main tissue of interest when it comes to mechanistic interpretations of results [16]. To this end, research suggests that the correspondence of methylation profiles from blood and saliva to the brain is in fact quite limited, but can be higher with cross-tissue genetic influence [13,17]. This presents a critical disadvantage if the investigator would like to use the peripheral tissue as a surrogate of the central nervous system (CNS; the brain). |