201 related articles for article (PubMed ID: 28837395)
1. Nightshift work, chronotype, and genome-wide DNA methylation in blood.
Adams CD; Jordahl KM; Copeland W; Mirick DK; Song X; Sather CL; Kelsey K; Houseman A; Davis S; Randolph T; Bhatti P
Epigenetics; 2017; 12(10):833-840. PubMed ID: 28837395
[TBL] [Abstract][Full Text] [Related]
2. Nightshift work and genome-wide DNA methylation.
Bhatti P; Zhang Y; Song X; Makar KW; Sather CL; Kelsey KT; Houseman EA; Wang P
Chronobiol Int; 2015 Feb; 32(1):103-12. PubMed ID: 25187986
[TBL] [Abstract][Full Text] [Related]
3. Sleep quality and methylation status of core circadian rhythm genes among nurses and midwives.
Bukowska-Damska A; Reszka E; Kaluzny P; Wieczorek E; Przybek M; Zienolddiny S; Peplonska B
Chronobiol Int; 2017; 34(9):1211-1223. PubMed ID: 29106308
[TBL] [Abstract][Full Text] [Related]
4. Shift work, DNA methylation and epigenetic age.
White AJ; Kresovich JK; Xu Z; Sandler DP; Taylor JA
Int J Epidemiol; 2019 Oct; 48(5):1536-1544. PubMed ID: 30879037
[TBL] [Abstract][Full Text] [Related]
5. Exploring the impact of night shift work on methylation of circadian genes.
Ritonja JA; Aronson KJ; Flaten L; Topouza DG; Duan QL; Durocher F; Tranmer JE; Bhatti P
Epigenetics; 2022 Oct; 17(10):1259-1268. PubMed ID: 34825628
[TBL] [Abstract][Full Text] [Related]
6. Complete pipeline for Infinium(®) Human Methylation 450K BeadChip data processing using subset quantile normalization for accurate DNA methylation estimation.
Touleimat N; Tost J
Epigenomics; 2012 Jun; 4(3):325-41. PubMed ID: 22690668
[TBL] [Abstract][Full Text] [Related]
7. Analysis of genome-wide DNA methylation profiles by BeadChip technology.
Lin Q; Wagner W; Zenke M
Methods Mol Biol; 2013; 1049():21-33. PubMed ID: 23913206
[TBL] [Abstract][Full Text] [Related]
8. Exploration of genome-wide DNA methylation profiles in night shift workers.
Wackers P; Dollé MET; van Oostrom CTM; van Kerkhof LWM
Epigenetics; 2023 Dec; 18(1):2152637. PubMed ID: 36457290
[TBL] [Abstract][Full Text] [Related]
9. Maternal circadian disruption is associated with variation in placental DNA methylation.
Clarkson-Townsend DA; Everson TM; Deyssenroth MA; Burt AA; Hermetz KE; Hao K; Chen J; Marsit CJ
PLoS One; 2019; 14(4):e0215745. PubMed ID: 31026301
[TBL] [Abstract][Full Text] [Related]
10. Predicting CpG methylation levels by integrating Infinium HumanMethylation450 BeadChip array data.
Fan S; Huang K; Ai R; Wang M; Wang W
Genomics; 2016 Apr; 107(4):132-7. PubMed ID: 26921858
[TBL] [Abstract][Full Text] [Related]
11. Positional effects revealed in Illumina methylation array and the impact on analysis.
Jiao C; Zhang C; Dai R; Xia Y; Wang K; Giase G; Chen C; Liu C
Epigenomics; 2018 May; 10(5):643-659. PubMed ID: 29469594
[TBL] [Abstract][Full Text] [Related]
12. Array probe density and pathobiological relevant CpG calling bias in human disease and physiological DNA methylation profiling.
Silva-Martínez GA; Zaina S; Lund G
Brief Funct Genomics; 2018 Jan; 17(1):42-48. PubMed ID: 28981624
[TBL] [Abstract][Full Text] [Related]
13. Evaluation of the Infinium Methylation 450K technology.
Dedeurwaerder S; Defrance M; Calonne E; Denis H; Sotiriou C; Fuks F
Epigenomics; 2011 Dec; 3(6):771-84. PubMed ID: 22126295
[TBL] [Abstract][Full Text] [Related]
14. A framework for analyzing DNA methylation data from Illumina Infinium HumanMethylation450 BeadChip.
Wang Z; Wu X; Wang Y
BMC Bioinformatics; 2018 Apr; 19(Suppl 5):115. PubMed ID: 29671397
[TBL] [Abstract][Full Text] [Related]
15. A coherent approach for analysis of the Illumina HumanMethylation450 BeadChip improves data quality and performance in epigenome-wide association studies.
Lehne B; Drong AW; Loh M; Zhang W; Scott WR; Tan ST; Afzal U; Scott J; Jarvelin MR; Elliott P; McCarthy MI; Kooner JS; Chambers JC
Genome Biol; 2015 Feb; 16(1):37. PubMed ID: 25853392
[TBL] [Abstract][Full Text] [Related]
16. Genome-wide DNA methylation study in human placenta identifies novel loci associated with maternal smoking during pregnancy.
Morales E; Vilahur N; Salas LA; Motta V; Fernandez MF; Murcia M; Llop S; Tardon A; Fernandez-Tardon G; Santa-Marina L; Gallastegui M; Bollati V; Estivill X; Olea N; Sunyer J; Bustamante M
Int J Epidemiol; 2016 Oct; 45(5):1644-1655. PubMed ID: 27591263
[TBL] [Abstract][Full Text] [Related]
17. Non-Steroidal Anti-Inflammatory Drug Use and Genomic DNA Methylation in Blood.
Wilson LE; Kim S; Xu Z; Harlid S; Sandler DP; Taylor JA
PLoS One; 2015; 10(9):e0138920. PubMed ID: 26393518
[TBL] [Abstract][Full Text] [Related]
18. Exploring the utility of human DNA methylation arrays for profiling mouse genomic DNA.
Wong NC; Ng J; Hall NE; Lunke S; Salmanidis M; Brumatti G; Ekert PG; Craig JM; Saffery R
Genomics; 2013 Jul; 102(1):38-46. PubMed ID: 23639479
[TBL] [Abstract][Full Text] [Related]
19. Analysis pipelines and packages for Infinium HumanMethylation450 BeadChip (450k) data.
Morris TJ; Beck S
Methods; 2015 Jan; 72():3-8. PubMed ID: 25233806
[TBL] [Abstract][Full Text] [Related]
20. Critical evaluation of the Illumina MethylationEPIC BeadChip microarray for whole-genome DNA methylation profiling.
Pidsley R; Zotenko E; Peters TJ; Lawrence MG; Risbridger GP; Molloy P; Van Djik S; Muhlhausler B; Stirzaker C; Clark SJ
Genome Biol; 2016 Oct; 17(1):208. PubMed ID: 27717381
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
