Literature DB >> 34403484

Autosomal sex-associated co-methylated regions predict biological sex from DNA methylation.

Evan Gatev1,2,3,4,5,6, Amy M Inkster4,5, Gian Luca Negri7, Chaini Konwar4,5,6, Alexandre A Lussier8,9,10, Anne Skakkebaek11,12, Marla B Sokolowski13,14, Claus H Gravholt12,15, Erin C Dunn8,9,10, Michael S Kobor4,5,6,14, Maria J Aristizabal4,5,6,13,14,16.   

Abstract

Sex is a modulator of health that has been historically overlooked in biomedical research. Recognizing this knowledge gap, funding agencies now mandate the inclusion of sex as a biological variable with the goal of stimulating efforts to illuminate the molecular underpinnings of sex biases in health and disease. DNA methylation (DNAm) is a strong molecular candidate for mediating such sex biases; however, a robust and well characterized annotation of sex differences in DNAm is yet to emerge. Beginning with a large (n = 3795) dataset of DNAm profiles from normative adult whole blood samples, we identified, validated and characterized autosomal sex-associated co-methylated genomic regions (sCMRs). Strikingly, sCMRs showed consistent sex differences in DNAm over the life course and a subset were also consistent across cell, tissue and cancer types. sCMRs included sites with known sex differences in DNAm and links to health conditions with sex biased effects. The robustness of sCMRs enabled the generation of an autosomal DNAm-based predictor of sex with 96% accuracy. Testing this tool on blood DNAm profiles from individuals with sex chromosome aneuploidies (Klinefelter [47,XXY], Turner [45,X] and 47,XXX syndrome) revealed an intimate relationship between sex chromosomes and sex-biased autosomal DNAm.
© The Author(s) 2021. Published by Oxford University Press on behalf of Nucleic Acids Research.

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Year:  2021        PMID: 34403484      PMCID: PMC8450084          DOI: 10.1093/nar/gkab682

Source DB:  PubMed          Journal:  Nucleic Acids Res        ISSN: 0305-1048            Impact factor:   16.971


  95 in total

1.  Critical evaluation of copy number variant calling methods using DNA methylation.

Authors:  Varun Kilaru; Anna K Knight; Seyma Katrinli; Dawayland Cobb; Adriana Lori; Charles F Gillespie; Adam X Maihofer; Caroline M Nievergelt; Anne L Dunlop; Karen N Conneely; Alicia K Smith
Journal:  Genet Epidemiol       Date:  2019-11-18       Impact factor: 2.135

2.  SeSAMe: reducing artifactual detection of DNA methylation by Infinium BeadChips in genomic deletions.

Authors:  Wanding Zhou; Timothy J Triche; Peter W Laird; Hui Shen
Journal:  Nucleic Acids Res       Date:  2018-11-16       Impact factor: 16.971

3.  Cohort Profile: the 'children of the 90s'--the index offspring of the Avon Longitudinal Study of Parents and Children.

Authors:  Andy Boyd; Jean Golding; John Macleod; Debbie A Lawlor; Abigail Fraser; John Henderson; Lynn Molloy; Andy Ness; Susan Ring; George Davey Smith
Journal:  Int J Epidemiol       Date:  2012-04-16       Impact factor: 7.196

4.  Sex differences of leukocytes DNA methylation adjusted for estimated cellular proportions.

Authors:  Masatoshi Inoshita; Shusuke Numata; Atsushi Tajima; Makoto Kinoshita; Hidehiro Umehara; Hidenaga Yamamori; Ryota Hashimoto; Issei Imoto; Tetsuro Ohmori
Journal:  Biol Sex Differ       Date:  2015-06-25       Impact factor: 5.027

5.  Meta-analysis of human methylation data for evidence of sex-specific autosomal patterns.

Authors:  Nina S McCarthy; Phillip E Melton; Gemma Cadby; Seyhan Yazar; Maria Franchina; Eric K Moses; David A Mackey; Alex W Hewitt
Journal:  BMC Genomics       Date:  2014-11-18       Impact factor: 3.969

6.  Association of DNA methylation with age, gender, and smoking in an Arab population.

Authors:  Shaza B Zaghlool; Mashael Al-Shafai; Wadha A Al Muftah; Pankaj Kumar; Mario Falchi; Karsten Suhre
Journal:  Clin Epigenetics       Date:  2015-01-22       Impact factor: 6.551

Review 7.  DiseaseMeth version 2.0: a major expansion and update of the human disease methylation database.

Authors:  Yichun Xiong; Yanjun Wei; Yue Gu; Shumei Zhang; Jie Lyu; Bin Zhang; Chuangeng Chen; Jiang Zhu; Yihan Wang; Hongbo Liu; Yan Zhang
Journal:  Nucleic Acids Res       Date:  2016-11-29       Impact factor: 16.971

8.  Identification of 55,000 Replicated DNA Methylation QTL.

Authors:  Allan F McRae; Riccardo E Marioni; Sonia Shah; Jian Yang; Joseph E Powell; Sarah E Harris; Jude Gibson; Anjali K Henders; Lisa Bowdler; Jodie N Painter; Lee Murphy; Nicholas G Martin; John M Starr; Naomi R Wray; Ian J Deary; Peter M Visscher; Grant W Montgomery
Journal:  Sci Rep       Date:  2018-12-04       Impact factor: 4.379

9.  DNA methylation arrays as surrogate measures of cell mixture distribution.

Authors:  Eugene Andres Houseman; William P Accomando; Devin C Koestler; Brock C Christensen; Carmen J Marsit; Heather H Nelson; John K Wiencke; Karl T Kelsey
Journal:  BMC Bioinformatics       Date:  2012-05-08       Impact factor: 3.169

10.  EWAS Atlas: a curated knowledgebase of epigenome-wide association studies.

Authors:  Mengwei Li; Dong Zou; Zhaohua Li; Ran Gao; Jian Sang; Yuansheng Zhang; Rujiao Li; Lin Xia; Tao Zhang; Guangyi Niu; Yiming Bao; Zhang Zhang
Journal:  Nucleic Acids Res       Date:  2019-01-08       Impact factor: 16.971

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  7 in total

1.  The immune factors driving DNA methylation variation in human blood.

Authors:  Etienne Patin; Lluís Quintana-Murci; Jacob Bergstedt; Sadoune Ait Kaci Azzou; Kristin Tsuo; Anthony Jaquaniello; Alejandra Urrutia; Maxime Rotival; David T S Lin; Julia L MacIsaac; Michael S Kobor; Matthew L Albert; Darragh Duffy
Journal:  Nat Commun       Date:  2022-10-06       Impact factor: 17.694

2.  DNA methylation changes in glial cells of the normal-appearing white matter in Multiple Sclerosis patients.

Authors:  Lara Kular; Ewoud Ewing; Maria Needhamsen; Majid Pahlevan Kakhki; Ruxandra Covacu; David Gomez-Cabrero; Lou Brundin; Maja Jagodic
Journal:  Epigenetics       Date:  2022-01-30       Impact factor: 4.861

3.  Characterising sex differences of autosomal DNA methylation in whole blood using the Illumina EPIC array.

Authors:  Olivia A Grant; Yucheng Wang; Meena Kumari; Nicolae Radu Zabet; Leonard Schalkwyk
Journal:  Clin Epigenetics       Date:  2022-05-14       Impact factor: 7.259

4.  EWAS Open Platform: integrated data, knowledge and toolkit for epigenome-wide association study.

Authors:  Zhuang Xiong; Fei Yang; Mengwei Li; Yingke Ma; Wei Zhao; Guoliang Wang; Zhaohua Li; Xinchang Zheng; Dong Zou; Wenting Zong; Hongen Kang; Yaokai Jia; Rujiao Li; Zhang Zhang; Yiming Bao
Journal:  Nucleic Acids Res       Date:  2022-01-07       Impact factor: 16.971

5.  Prenatal Adversity Alters the Epigenetic Profile of the Prefrontal Cortex: Sexually Dimorphic Effects of Prenatal Alcohol Exposure and Food-Related Stress.

Authors:  Alexandre A Lussier; Tamara S Bodnar; Michelle Moksa; Martin Hirst; Michael S Kobor; Joanne Weinberg
Journal:  Genes (Basel)       Date:  2021-11-09       Impact factor: 4.096

6.  Risk-focused differences in molecular processes implicated in SARS-CoV-2 infection: corollaries in DNA methylation and gene expression.

Authors:  Chaini Konwar; Rebecca Asiimwe; Amy M Inkster; Sarah M Merrill; Gian L Negri; Maria J Aristizabal; Christopher F Rider; Julie L MacIsaac; Christopher Carlsten; Michael S Kobor
Journal:  Epigenetics Chromatin       Date:  2021-12-11       Impact factor: 4.954

7.  The combination of DNA methylome and transcriptome revealed the intergenerational inheritance on the influence of advanced maternal age.

Authors:  Lingyue Hua; Wei Chen; Yan Meng; Meng Qin; Zhiqiang Yan; Rui Yang; Qiang Liu; Yuan Wei; Yangyu Zhao; Liying Yan; Jie Qiao
Journal:  Clin Transl Med       Date:  2022-09
  7 in total

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