CpG Islands
"CpG Islands" is a descriptor in the National Library of Medicine's controlled vocabulary thesaurus,
MeSH (Medical Subject Headings). Descriptors are arranged in a hierarchical structure,
which enables searching at various levels of specificity.
Areas of increased density of the dinucleotide sequence cytosine--phosphate diester--guanine. They form stretches of DNA several hundred to several thousand base pairs long. In humans there are about 45,000 CpG islands, mostly found at the 5' ends of genes. They are unmethylated except for those on the inactive X chromosome and some associated with imprinted genes.
Descriptor ID |
D018899
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MeSH Number(s) |
G02.111.570.080.380.160 G05.360.080.380.160 G05.360.340.024.159
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Concept/Terms |
CpG Islands- CpG Islands
- CpG Island
- Island, CpG
- Islands, CpG
- CpG-Rich Islands
- CpG Rich Islands
- CpG-Rich Island
- Island, CpG-Rich
- Islands, CpG-Rich
CpG Clusters- CpG Clusters
- Cluster, CpG
- Clusters, CpG
- CpG Cluster
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Below are MeSH descriptors whose meaning is more general than "CpG Islands".
Below are MeSH descriptors whose meaning is more specific than "CpG Islands".
This graph shows the total number of publications written about "CpG Islands" by people in this website by year, and whether "CpG Islands" was a major or minor topic of these publications.
To see the data from this visualization as text, click here.
Year | Major Topic | Minor Topic | Total |
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1999 | 1 | 1 | 2 | 2001 | 0 | 2 | 2 | 2004 | 1 | 3 | 4 | 2005 | 0 | 2 | 2 | 2006 | 1 | 3 | 4 | 2008 | 0 | 1 | 1 | 2009 | 2 | 1 | 3 | 2010 | 0 | 3 | 3 | 2011 | 1 | 1 | 2 | 2012 | 0 | 2 | 2 | 2013 | 0 | 3 | 3 | 2014 | 0 | 2 | 2 | 2015 | 1 | 5 | 6 | 2016 | 0 | 4 | 4 | 2017 | 1 | 6 | 7 | 2018 | 2 | 3 | 5 | 2019 | 2 | 4 | 6 | 2020 | 0 | 5 | 5 | 2021 | 0 | 4 | 4 | 2022 | 0 | 2 | 2 | 2023 | 0 | 4 | 4 |
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Below are the most recent publications written about "CpG Islands" by people in Profiles.
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Harris HA, Friedman C, Starling AP, Dabelea D, Johnson SL, Fuemmeler BF, Jima D, Murphy SK, Hoyo C, Jansen PW, Felix JF, Mulder RH. An epigenome-wide association study of child appetitive traits and DNA methylation. Appetite. 2023 12 01; 191:107086.
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Tan Q, M?ller AMJ, Qiu C, Madsen JS, Shen H, Bechmann T, Delaisse JM, Kristensen BW, Deng HW, Karasik D, S?e K. A variability in response of osteoclasts to zoledronic acid is mediated by smoking-associated modification in the DNA methylome. Clin Epigenetics. 2023 03 13; 15(1):42.
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Becht DC, Klein BJ, Kanai A, Jang SM, Cox KL, Zhou BR, Phanor SK, Zhang Y, Chen RW, Ebmeier CC, Lachance C, Galloy M, Fradet-Turcotte A, Bulyk ML, Bai Y, Poirier MG, C?t? J, Yokoyama A, Kutateladze TG. MORF and MOZ acetyltransferases target unmethylated CpG islands through the winged helix domain. Nat Commun. 2023 02 08; 14(1):697.
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Morin A, Thompson EE, Helling BA, Shorey-Kendrick LE, Faber P, Gebretsadik T, Bacharier LB, Kattan M, O'Connor GT, Rivera-Spoljaric K, Wood RA, Barnes KC, Mathias RA, Altman MC, Hansen K, McEvoy CT, Spindel ER, Hartert T, Jackson DJ, Gern JE, McKennan CG, Ober C. A functional genomics pipeline to identify high-value asthma and allergy CpGs in the human methylome. J Allergy Clin Immunol. 2023 06; 151(6):1609-1621.
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Smyth LJ, Dahlstr?m EH, Syreeni A, Kerr K, Kilner J, Doyle R, Brennan E, Nair V, Fermin D, Nelson RG, Looker HC, Wooster C, Andrews D, Anderson K, McKay GJ, Cole JB, Salem RM, Conlon PJ, Kretzler M, Hirschhorn JN, Sadlier D, Godson C, Florez JC, Forsblom C, Maxwell AP, Groop PH, Sandholm N, McKnight AJ. Epigenome-wide meta-analysis identifies DNA methylation biomarkers associated with diabetic kidney disease. Nat Commun. 2022 12 22; 13(1):7891.
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Lee M, Huan T, McCartney DL, Chittoor G, de Vries M, Lahousse L, Nguyen JN, Brody JA, Castillo-Fernandez J, Terzikhan N, Qi C, Joehanes R, Min JL, Smilnak GJ, Shaw JR, Yang CX, Colicino E, Hoang TT, Bermingham ML, Xu H, Justice AE, Xu CJ, Rich SS, Cox SR, Vonk JM, Prokic I, Sotoodehnia N, Tsai PC, Schwartz JD, Leung JM, Sikdar S, Walker RM, Harris SE, van der Plaat DA, Van Den Berg DJ, Bartz TM, Spector TD, Vokonas PS, Marioni RE, Taylor AM, Liu Y, Barr RG, Lange LA, Baccarelli AA, Obeidat M, Fornage M, Wang T, Ward JM, Motsinger-Reif AA, Hemani G, Koppelman GH, Bell JT, Gharib SA, Brusselle G, Boezen HM, North KE, Levy D, Evans KL, Dupuis J, Breeze CE, Manichaikul A, London SJ. Pulmonary Function and Blood DNA Methylation: A Multiancestry Epigenome-Wide Association Meta-analysis. Am J Respir Crit Care Med. 2022 08 01; 206(3):321-336.
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Walker-Short E, Buckner T, Vigers T, Carry P, Vanderlinden LA, Dong F, Johnson RK, Yang IV, Kechris K, Rewers M, Norris JM. Epigenome-Wide Association Study of Infant Feeding and DNA Methylation in Infancy and Childhood in a Population at Increased Risk for Type 1 Diabetes. Nutrients. 2021 Nov 13; 13(11).
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Vanderlinden LA, Johnson RK, Carry PM, Dong F, DeMeo DL, Yang IV, Norris JM, Kechris K. An effective processing pipeline for harmonizing DNA methylation data from Illumina's 450K and EPIC platforms for epidemiological studies. BMC Res Notes. 2021 Sep 08; 14(1):352.
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Seplyarskiy VB, Soldatov RA, Koch E, McGinty RJ, Goldmann JM, Hernandez RD, Barnes K, Correa A, Burchard EG, Ellinor PT, McGarvey ST, Mitchell BD, Vasan RS, Redline S, Silverman E, Weiss ST, Arnett DK, Blangero J, Boerwinkle E, He J, Montgomery C, Rao DC, Rotter JI, Taylor KD, Brody JA, Chen YI, de las Fuentes L, Hwu CM, Rich SS, Manichaikul AW, Mychaleckyj JC, Palmer ND, Smith JA, Kardia SLR, Peyser PA, Bielak LF, O'Connor TD, Emery LS, Gilissen C, Wong WSW, Kharchenko PV, Sunyaev S. Population sequencing data reveal a compendium of mutational processes in the human germ line. Science. 2021 Aug 27; 373(6558):1030-1035.
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Breeze CE, Batorsky A, Lee MK, Szeto MD, Xu X, McCartney DL, Jiang R, Patki A, Kramer HJ, Eales JM, Raffield L, Lange L, Lange E, Durda P, Liu Y, Tracy RP, Van Den Berg D, Evans KL, Kraus WE, Shah S, Tiwari HK, Hou L, Whitsel EA, Jiang X, Charchar FJ, Baccarelli AA, Rich SS, Morris AP, Irvin MR, Arnett DK, Hauser ER, Rotter JI, Correa A, Hayward C, Horvath S, Marioni RE, Tomaszewski M, Beck S, Berndt SI, London SJ, Mychaleckyj JC, Franceschini N. Epigenome-wide association study of kidney function identifies trans-ethnic and ethnic-specific loci. Genome Med. 2021 04 30; 13(1):74.
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