 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 |
|---|
| 2008 | 4 | 8 | 12 | | 2009 | 15 | 23 | 38 | | 2010 | 38 | 49 | 87 | | 2011 | 27 | 56 | 83 | | 2012 | 45 | 60 | 105 | | 2013 | 29 | 45 | 74 | | 2014 | 22 | 40 | 62 | | 2015 | 16 | 37 | 53 | | 2016 | 20 | 38 | 58 | | 2017 | 17 | 44 | 61 | | 2018 | 25 | 52 | 77 | | 2019 | 20 | 41 | 61 | | 2020 | 18 | 30 | 48 | | 2021 | 24 | 41 | 65 | | 2022 | 15 | 9 | 24 |
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Below are the most recent publications written about "Genome-Wide Association Study" by people in Profiles.
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Schoettler N, Dissanayake E, Craven MW, Yee JS, Eliason J, Schauberger EM, Lemanske RF, Ober C, Gern JE. New Insights Relating Gasdermin B to the Onset of Childhood Asthma. Am J Respir Cell Mol Biol. 2022 10; 67(4):430-437.
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Gao G, Zhao F, Ahearn TU, Lunetta KL, Troester MA, Du Z, Ogundiran TO, Ojengbede O, Blot W, Nathanson KL, Domchek SM, Nemesure B, Hennis A, Ambs S, McClellan J, Nie M, Bertrand K, Zirpoli G, Yao S, Olshan AF, Bensen JT, Bandera EV, Nyante S, Conti DV, Press MF, Ingles SA, John EM, Bernstein L, Hu JJ, Deming-Halverson SL, Chanock SJ, Ziegler RG, Rodriguez-Gil JL, Sucheston-Campbell LE, Sandler DP, Taylor JA, Kitahara CM, O'Brien KM, Bolla MK, Dennis J, Dunning AM, Easton DF, Michailidou K, Pharoah PDP, Wang Q, Figueroa J, Biritwum R, Adjei E, Wiafe S. Polygenic risk scores for prediction of breast cancer risk in women of African ancestry: a cross-ancestry approach. Hum Mol Genet. 2022 09 10; 31(18):3133-3143.
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Hopfner F, Tietz AK, Ruf VC, Ross OA, Koga S, Dickson D, Aguzzi A, Attems J, Beach T, Beller A, Cheshire WP, van Deerlin V, Desplats P, Deuschl G, Duyckaerts C, Ellinghaus D, Evsyukov V, Flanagan ME, Franke A, Frosch MP, Gearing M, Gelpi E, van Gerpen JA, Ghetti B, Glass JD, Grinberg LT, Halliday G, Helbig I, Höllerhage M, Huitinga I, Irwin DJ, Keene DC, Kovacs GG, Lee EB, Levin J, Martà MJ, Mackenzie I, McKeith I, Mclean C, Mollenhauer B, Neumann M, Newell KL, Pantelyat A, Pendziwiat M, Peters A, Molina Porcel L, Rabano A, Matej R, Rajput A, Rajput A, Reimann R, Scott WK, Seeley W, Selvackadunco S, Simuni T, Stadelmann C, Svenningsson P, Thomas A, Trenkwalder C, Troakes C, Trojanowski JQ, Uitti RJ, White CL, Wszolek ZK, Xie T, Ximelis T, Yebenes J. Common Variants Near ZIC1 and ZIC4 in Autopsy-Confirmed Multiple System Atrophy. Mov Disord. 2022 10; 37(10):2110-2121.
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Eissman JM, Dumitrescu L, Mahoney ER, Smith AN, Mukherjee S, Lee ML, Scollard P, Choi SE, Bush WS, Engelman CD, Lu Q, Fardo DW, Trittschuh EH, Mez J, Kaczorowski CC, Hernandez Saucedo H, Widaman KF, Buckley RF, Properzi MJ, Mormino EC, Yang HS, Harrison TM, Hedden T, Nho K, Andrews SJ, Tommet D, Hadad N, Sanders RE, Ruderfer DM, Gifford KA, Zhong X, Raghavan NS, Vardarajan BN. Sex differences in the genetic architecture of cognitive resilience to Alzheimer's disease. Brain. 2022 07 29; 145(7):2541-2554.
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Akwo E, Pike MM, Ertuglu LA, Vartanian N, Farber-Eger E, Lipworth L, Perwad F, Siew E, Hung A, Bansal N, de Boer I, Kestenbaum B, Cox NJ, Ikizler TA, Wells Q, Robinson-Cohen C. Association of Genetically Predicted Fibroblast Growth Factor-23 with Heart Failure: A Mendelian Randomization Study. Clin J Am Soc Nephrol. 2022 08; 17(8):1183-1193.
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Brachi B, Filiault D, Whitehurst H, Darme P, Le Gars P, Le Mentec M, Morton TC, Kerdaffrec E, Rabanal F, Anastasio A, Box MS, Duncan S, Huang F, Leff R, Novikova P, Perisin M, Tsuchimatsu T, Woolley R, Dean C, Nordborg M, Holm S, Bergelson J. Plant genetic effects on microbial hubs impact host fitness in repeated field trials. Proc Natl Acad Sci U S A. 2022 07 26; 119(30):e2201285119.
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Faucon A, Samaroo J, Ge T, Davis LK, Cox NJ, Tao R, Shuey MM. Improving the computation efficiency of polygenic risk score modeling: faster in Julia. Life Sci Alliance. 2022 Jul 18; 5(12).
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Patel RA, Musharoff SA, Spence JP, Pimentel H, Tcheandjieu C, Mostafavi H, Sinnott-Armstrong N, Clarke SL, Smith CJ. Genetic interactions drive heterogeneity in causal variant effect sizes for gene expression and complex traits. Am J Hum Genet. 2022 07 07; 109(7):1286-1297.
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Gloss AD, Vergnol A, Morton TC, Laurin PJ, Roux F, Bergelson J. Genome-wide association mapping within a local Arabidopsis thaliana population more fully reveals the genetic architecture for defensive metabolite diversity. Philos Trans R Soc Lond B Biol Sci. 2022 07 18; 377(1855):20200512.
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Clay SM, Schoettler N, Goldstein AM, Carbonetto P, Dapas M, Altman MC, Rosasco MG, Gern JE, Jackson DJ, Im HK, Stephens M, Nicolae DL, Ober C. Fine-mapping studies distinguish genetic risks for childhood- and adult-onset asthma in the HLA region. Genome Med. 2022 05 24; 14(1):55.
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