 Genome-Wide Association Study
"Genome-Wide Association Study" 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.
An analysis comparing the allele frequencies of all available (or a whole GENOME representative set of) polymorphic markers in unrelated patients with a specific symptom or disease condition, and those of healthy controls to identify markers associated with a specific disease or condition.
| Descriptor ID |
D055106
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| MeSH Number(s) |
E05.318.416.249 E05.318.780.392 E05.393.385.500 E05.393.522.500 E05.393.760.640.500 N06.850.520.445.392 N06.850.520.470.500
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| Concept/Terms |
Genome-Wide Association Study- Genome-Wide Association Study
- Association Studies, Genome-Wide
- Association Study, Genome-Wide
- Genome-Wide Association Studies
- Studies, Genome-Wide Association
- Study, Genome-Wide Association
- Genome Wide Association Scan
- Genome Wide Association Studies
- GWA Study
- GWA Studies
- Studies, GWA
- Study, GWA
- Whole Genome Association Analysis
- Whole Genome Association Study
- Genome Wide Association Analysis
- Genome Wide Association Study
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Below are MeSH descriptors whose meaning is more general than "Genome-Wide Association Study".
Below are MeSH descriptors whose meaning is more specific than "Genome-Wide Association Study".
This graph shows the total number of publications written about "Genome-Wide Association Study" by people in this website by year, and whether "Genome-Wide Association Study" 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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| 2008 | 0 | 1 | 1 | | 2009 | 5 | 1 | 6 | | 2010 | 1 | 5 | 6 | | 2011 | 2 | 5 | 7 | | 2012 | 2 | 6 | 8 | | 2013 | 4 | 4 | 8 | | 2014 | 1 | 9 | 10 | | 2015 | 5 | 1 | 6 | | 2016 | 3 | 1 | 4 | | 2017 | 2 | 3 | 5 | | 2018 | 0 | 8 | 8 | | 2019 | 0 | 4 | 4 | | 2020 | 1 | 2 | 3 | | 2021 | 0 | 1 | 1 | | 2022 | 1 | 0 | 1 |
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Below are the most recent publications written about "Genome-Wide Association Study" by people in Profiles.
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Kundu K, Tardaguila M, Mann AL, Watt S, Ponstingl H, Vasquez L, Von Schiller D, Morrell NW, Stegle O, Pastinen T, Sawcer SJ, Anderson CA, Walter K, Soranzo N. Genetic associations at regulatory phenotypes improve fine-mapping of causal variants for 12 immune-mediated diseases. Nat Genet. 2022 03; 54(3):251-262.
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Zeng Y, Zhao K, Oros Klein K, Shao X, Fritzler MJ, Hudson M, Colmegna I, Pastinen T, Bernatsky S, Greenwood CMT. Thousands of CpGs Show DNA Methylation Differences in ACPA-Positive Individuals. Genes (Basel). 2021 08 29; 12(9).
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Thiffault I, Atherton A, Heese BA, T Abdelmoity A, Pawar K, Farrow E, Zellmer L, Miller N, Soden S, Saunders C. Pathogenic variants in KPTN gene identified by clinical whole-genome sequencing. Cold Spring Harb Mol Case Stud. 2020 06; 6(3).
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Jakubosky D, D'Antonio M, Bonder MJ, Smail C, Donovan MKR, Young Greenwald WW, Matsui H, D'Antonio-Chronowska A, Stegle O, Smith EN, Montgomery SB, DeBoever C, Frazer KA. Properties of structural variants and short tandem repeats associated with gene expression and complex traits. Nat Commun. 2020 06 10; 11(1):2927.
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Allum F, Grundberg E. Capturing functional epigenomes for insight into metabolic diseases. Mol Metab. 2020 08; 38:100936.
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Zheng J, Maerz W, Gergei I, Kleber M, Drechsler C, Wanner C, Brandenburg V, Reppe S, Gautvik KM, Medina-Gomez C, Shevroja E, Gilly A, Park YC, Dedoussis G, Zeggini E, Lorentzon M, Henning P, Lerner UH, Nilsson KH, Movérare-Skrtic S, Baird D, Elsworth B, Falk L, Groom A, Capellini TD, Grundberg E, Nethander M, Ohlsson C, Davey Smith G, Tobias JH. Mendelian Randomization Analysis Reveals a Causal Influence of Circulating Sclerostin Levels on Bone Mineral Density and Fractures. J Bone Miner Res. 2019 10; 34(10):1824-1836.
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Lalonde S, Codina-Fauteux VA, de Bellefon SM, Leblanc F, Beaudoin M, Simon MM, Dali R, Kwan T, Lo KS, Pastinen T, Lettre G. Integrative analysis of vascular endothelial cell genomic features identifies AIDA as a coronary artery disease candidate gene. Genome Biol. 2019 07 08; 20(1):133.
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Allum F, Hedman ÅK, Shao X, Cheung WA, Vijay J, Guénard F, Kwan T, Simon MM, Ge B, Moura C, Boulier E, Rönnblom L, Bernatsky S, Lathrop M, McCarthy MI, Deloukas P, Tchernof A, Pastinen T, Vohl MC, Grundberg E. Dissecting features of epigenetic variants underlying cardiometabolic risk using full-resolution epigenome profiling in regulatory elements. Nat Commun. 2019 03 14; 10(1):1209.
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Anand S, Kalesinskas L, Smail C, Tanigawa Y. SNPs2ChIP: Latent Factors of ChIP-seq to infer functions of non-coding SNPs. Pac Symp Biocomput. 2019; 24:184-195.
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Morris JA, Kemp JP, Youlten SE, Laurent L, Logan JG, Chai RC, Vulpescu NA, Forgetta V, Kleinman A, Mohanty ST, Sergio CM, Quinn J, Nguyen-Yamamoto L, Luco AL, Vijay J, Simon MM, Pramatarova A, Medina-Gomez C, Trajanoska K, Ghirardello EJ, Butterfield NC, Curry KF, Leitch VD, Sparkes PC, Adoum AT, Mannan NS, Komla-Ebri DSK, Pollard AS, Dewhurst HF, Hassall TAD, Beltejar MG, Adams DJ, Vaillancourt SM, Kaptoge S, Baldock P, Cooper C, Reeve J, Ntzani EE, Evangelou E, Ohlsson C, Karasik D, Rivadeneira F, Kiel DP, Tobias JH, Gregson CL, Harvey NC, Grundberg E, Goltzman D, Adams DJ, Lelliott CJ, Hinds DA, Ackert-Bicknell CL, Hsu YH, Maurano MT, Croucher PI, Williams GR, Bassett JHD, Evans DM, Richards JB. An atlas of genetic influences on osteoporosis in humans and mice. Nat Genet. 2019 02; 51(2):258-266.
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