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파킨슨병 환자의 후성유전체를 이용한 생물학적 나이 변화

원문정보

Biological Age Variation Using the Epigenome in Parkinson's Disease Patients

심정현, 조광원

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초록

영어

Changes in DNA methylation patterns in human genes can not only impair gene activation but also contributes to epigenetic age. To measure these changes machine learning models are used which measures the degree of changes in DNA methylation pattern. Parkinson's disease is the second most common neurodegenerative disease which affects motor function. Even though it may develop before the age of 50 due to genetic factors, the gene that causes Parkinson's disease is linked to aging, so the incidence increases with age, and most people get affected by Parkinson’s disease are over the age of 50. It is a geriatric disease that occurs in older aged people. Changes in DNA methylation patterns have been observed in patients with Parkinson's disease. Therefore, the epigenetic age of patients with Parkinson's disease was measured using Epi clock, which is one of the epigenetic clock models which was trained using 6761 CpG probes from pan tissue. Additionally, the acceleration of age was measured and changes in DNA methylation patterns were confirmed. Through this, it was confirmed that although the epigenetic age of Parkinson's disease patients accelerates, the difference is small which is approximately 1 to 5 years. Even though Hypo methylation of CpG probes increased, it was to a small extent.

목차

Abstract
1. 서론
2. 재료 및 방법
2.1. 데이터 세트 수집
2.2. 데이터 전처리
2.3. Epi clock을 사용한 후성유전학적나이 계산
2.4. 후성유전학적 나이의 가속도 계산.
2.5. 메틸화 변화
2.6. DMPA (Differential methylation Position Analysis)
2.7. pathway analysis
2.8. 데이터 통계분석 및 시각화
3. 결과 및 고찰
3.1. 데이터 세트 특성
3.2. 파킨슨병 환자의 후성유전학적 나이
3.3. 파킨슨병 환자의 CpG probes 메틸화 변화
3.4. DMPA
3.5. Pathway analysis
4. 결론
Acknowledgments
참고문헌

저자정보

  • 심정현 Jeong Hyeon Shim. 조선대학교 생명과학과
  • 조광원 Gwang-Won Cho. 조선대학교 생명과학과

참고문헌

자료제공 : 네이버학술정보

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