본문 바로가기
KERD
논문KCI 등재

법의 분야에서 DNA 메틸화를 이용한 연령 추정

DNA Methylation-Based Age Estimation in the Forensic Field

2

조회

0

다운로드

0

인용

0

참고문헌

키워드

주제분류기타의약학

초록

The estimation of age is an important issue in forensic science, and the forensic community has attempted many times to establish methods for solving this issue. Aging leads to alterations in tissues and organs at the molecular level. These alterations at the molecular level may aid forensic scientists to estimate the age of a living person or a dead body. Initially, the focus was on the genetic components of aging,but recently, epigenetic mechanisms have emerged as the key contributors to the alterations in genome structure and function that accompany aging. In particular, DNA methylation is one of the best-understood mechanisms, and it has been suggested as a promising biomarker for age estimation in many studies. In this review, we summarize the recent studies on age-associated DNA methylation changes in different tissues and discuss its possible and practical applications in forensics.

Abstract

The estimation of age is an important issue in forensic science, and the forensic community has attempted many times to establish methods for solving this issue. Aging leads to alterations in tissues and organs at the molecular level. These alterations at the molecular level may aid forensic scientists to estimate the age of a living person or a dead body. Initially, the focus was on the genetic components of aging,but recently, epigenetic mechanisms have emerged as the key contributors to the alterations in genome structure and function that accompany aging. In particular, DNA methylation is one of the best-understood mechanisms, and it has been suggested as a promising biomarker for age estimation in many studies. In this review, we summarize the recent studies on age-associated DNA methylation changes in different tissues and discuss its possible and practical applications in forensics.

참고문헌 (46)

  1. Kayser M, "Improving human forensics through advances in genetics, genomics and molecular biology", Nat Rev Genet, 12, pp.179~192 (2011)
  2. Kayser M, "DNA-based prediction of human externally visible characteristics in forensics: motivations, scientific challenges, and ethical considerations", Forensic Sci Int Genet, 3, pp.154~161 (2009)
  3. Ohtani S, "Estimation of age from dentin by using the racemization reaction of aspartic acid", Am J Forensic Med Pathol, 16, pp.158~161 (1995)
  4. Sato Y, "Estimation of age of human cadavers by immunohistochemical assessment of advanced glycation end products in the hippocampus", Histopathology, 38, pp.217~220 (2001)
  5. Harley C, "Telomeres shorten during ageing of human fibroblasts", Nature, 345, pp.458~460 (1990)
  6. Tsuji A, "Estimating age of humans based on telomere shortening", Forensic Sci Int, 126, pp.197~199 (2002)
  7. Meissner C, "Molecular pathology and age estimation", Forensic Sci Int, 203, pp.34~43 (2010)
  8. Zubakov D, "Estimating human age from T-cell DNA rearrangements", Curr Biol, 20, pp.970~971 (2010)
  9. Russo VEA, "Epigenetic mechanisms of gene regulation" (1996), Cold Spring Harbor Laboratory Press
  10. Gonzalo S, "Epigenetic alterations in aging", J Appl Physiol, 109, pp.586~597 (2010)
  11. Miranda TB, "DNA methylation: the nuts and bolts of repression", J Cell Physiol, 213, pp.384~390 (2007)
  12. Bird A, "DNA methylation patterns and epigenetic memory", Genes Dev, 16, pp.6~21 (2002)
  13. Wilson VL, "Genomic 5- methyldeoxycytidine decreases with age", J Biol Chem, 262, pp.9948~9951 (1987)
  14. Vanyushin BF, "The 5-methylcytosine in DNA of rats. Tissue and age specificity and the changes induced by hydrocortisone and other agents", Gerontologia, 19, pp.138~152 (1973)
  15. Fuke C, "Age related changes in 5-methylcytosine content in human peripheral leukocytes and placentas: an HPLC-based study", Ann Hum Genet, 68, pp.196~204 (2004)
  16. Casillas MA Jr, "Transcriptional control of the DNA methyltransferases is altered in aging and neoplastically-transformed human fibroblasts", Mol Cell Biochem, 252, pp.33~43 (2003)
  17. Murgatroyd C, "The Janus face of DNA methylation in aging", Aging, 2, pp.107~110 (2010)
  18. Rakyan VK, "Human aging-associated DNA hypermethylation occurs preferentially at bivalent chromatin domains", Genome Res, 20, pp.434~439 (2010)
  19. Bocklandt S, "Epigenetic predictor of age", PLoS ONE, 6, pp.14821~ (2011)
  20. Koch CM, "Specific Age-associated DNA methylation changes in human dermal fibroblasts", PLoS ONE, 6, pp.16679~ (2011)
  21. Gronniger E, "Aging and chronic sun exposure cause distinct epigenetic changes in human skin", PLoS Genet, 6, pp.1000971~ (2010)
  22. Bocker MT, "Genome-wide promoter DNA methylation dynamics of human hematopoietic progenitor cells during differentiation and aging", Blood, 117, pp.182~189 (2011)
  23. Teschendorff AE, "Age-dependent DNA methylation of genes that are suppressed in stem cells is a hallmark of cancer", Genome Res, 20, pp.440~446 (2010)
  24. Koch C, "Epigenetic-aging-signature to determine age in different tissues", Aging, 3, pp.1018~1027 (2011)
  25. Bell JT, "Epigenome-wide scans identify differentially methylated regions for age and agerelated phenotypes in a healthy ageing population", PLoS Genet, 8, pp.1002629~ (2012)
  26. Simm A, "Potential biomarkers of ageing", Biol Chem, 389, pp.257~265 (2008)
  27. Dedeurwaerder S, "Evaluation of the infinium methylation 450K technology", Epigenomics, 3, pp.771~784 (2011)
  28. Garagnani P, "Methylation of ELOVL2 gene as a new epigenetic marker of age", Aging Cell, 11, pp.1132~1134 (2012)
  29. Hannum G, "Genome-wide methylation profiles reveal quantitative views of human aging rates", Mol Cell, 49, pp.359~367 (2013)
  30. Zou H, "Regularization and variable selection via the elastic net", J R Statist Soc B, 67, pp.301~320 (2005)
  31. Heyn H, "Distinct DNA methylomes of newborns and centenarians", Proc Natl Acad Sci USA, 109, pp.10522~10527 (2012)
  32. Bibikova M, "Genome-wide DNA methylation profiling using InfiniumⓇ assay", Epigenomics, 1, pp.177~200 (2009)
  33. Shames DS, "Methods for detecting DNA methylation in tumors: from bench to bedside", Cancer Lett, 251, pp.187~198 (2007)
  34. Frommer M, "A genomic sequencing protocol that yields a positive display of 5- methylcytosine residues in individual DNA strands", Proc Natl Acad Sci U S A, 89, pp.1827~1831 (1992)
  35. Zhang Y, "DNA methylation analysis by bisulfite conversion, cloning, and sequencing of individual clones", Methods Mol Biol, 507, pp.177~187 (2009)
  36. van den Boom D, "Mass spectrometric analysis of cytosine methylation by base-specific cleavage and primer extension methods", Methods Mol Biol, 507, pp.207~227 (2009)
  37. Dejeux E, "Identification and quantification of differentially methylated loci by the pyrosequencing technology", Methods Mol Biol, 507, pp.189~205 (2009)
  38. Licchesi JD, "Methylation-specific PCR", Methods Mol Biol, 507, pp.305~323 (2009)
  39. Brena RM, "Bio-COBRA: absolute quantification of DNA methylation in electrofluidics chips", Methods Mol Biol, 507, pp.257~269 (2009)
  40. Kaminsky Z, "Methylation SNaPshot: a method for the quantification of site-specific DNA methylation levels", Methods Mol Biol, 507, pp.241~255 (2009)
  41. Oakes CC, "Restriction digestion and real-time PCR (qAMP)", Methods Mol Biol, 507, pp.271~280 (2009)
  42. Frumkin D, "DNA methylation-based forensic tissue identification", Forensic Sci Int Genet, 5, pp.517~524 (2011)
  43. Lee HY, "Potential forensic application of DNA methylation profiling to body fluid identification", Int J Legal Med, 126, pp.55~62 (2012)
  44. Kayser M, "Three genome-wide association studies and a linkage analysis identify HERC2 as a human iris color gene", Am J Hum Genet, 82, pp.411~423 (2008)
  45. Liu F, "Digital quantification of human eye color highlights genetic association of three new loci", PLoS Genet, 6, pp.1000934~ (2010)
  46. Branicki W, "Determination of phenotype associated SNPs in the MC1R gene", J Forensic Sci, 52, pp.349~354 (2007)

관련 논문AI추천

이 간행물의 다른 논문 (7건)