 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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| 2009 | 1 | 2 | 3 | | 2010 | 4 | 9 | 13 | | 2011 | 7 | 6 | 13 | | 2012 | 3 | 12 | 15 | | 2013 | 7 | 7 | 14 | | 2014 | 4 | 14 | 18 | | 2015 | 3 | 6 | 9 | | 2016 | 6 | 15 | 21 | | 2017 | 3 | 8 | 11 | | 2018 | 1 | 12 | 13 | | 2019 | 2 | 11 | 13 | | 2020 | 3 | 6 | 9 | | 2021 | 3 | 9 | 12 |
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Below are the most recent publications written about "Genome-Wide Association Study" by people in Profiles.
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Huang Y, Sun X, Jiang H, Yu S, Robins C, Armstrong MJ, Li R, Mei Z, Shi X, Gerasimov ES, De Jager PL, Bennett DA, Wingo AP, Jin P, Wingo TS, Qin ZS. A machine learning approach to brain epigenetic analysis reveals kinases associated with Alzheimer's disease. Nat Commun. 2021 07 22; 12(1):4472.
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Smith RG, Pishva E, Shireby G, Smith AR, Roubroeks JAY, Hannon E, Wheildon G, Mastroeni D, Gasparoni G, Riemenschneider M, Giese A, Sharp AJ, Schalkwyk L, Haroutunian V, Viechtbauer W, van den Hove DLA, Weedon M, Brokaw D, Francis PT, Thomas AJ, Love S, Morgan K, Walter J, Coleman PD, Bennett DA, De Jager PL, Mill J, Lunnon K. A meta-analysis of epigenome-wide association studies in Alzheimer's disease highlights novel differentially methylated loci across cortex. Nat Commun. 2021 06 10; 12(1):3517.
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Trevino CE, Rounds JC, Charen K, Shubeck L, Hipp HS, Spencer JB, Johnston HR, Cutler DJ, Zwick ME, Epstein MP, Murray A, Macpherson JN, Mila M, Rodriguez-Revenga L, Berry-Kravis E, Hall DA, Leehey MA, Liu Y, Welt C, Warren ST, Sherman SL, Jin P, Allen EG. Identifying susceptibility genes for primary ovarian insufficiency on the high-risk genetic background of a fragile X premutation. Fertil Steril. 2021 09; 116(3):843-854.
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Wingo TS, Liu Y, Gerasimov ES, Gockley J, Logsdon BA, Duong DM, Dammer EB, Lori A, Kim PJ, Ressler KJ, Beach TG, Reiman EM, Epstein MP, De Jager PL, Lah JJ, Bennett DA, Seyfried NT, Levey AI, Wingo AP. Brain proteome-wide association study implicates novel proteins in depression pathogenesis. Nat Neurosci. 2021 06; 24(6):810-817.
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Tang S, Buchman AS, De Jager PL, Bennett DA, Epstein MP, Yang J. Novel Variance-Component TWAS method for studying complex human diseases with applications to Alzheimer's dementia. PLoS Genet. 2021 04; 17(4):e1009482.
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Wang H, Bennett DA, De Jager PL, Zhang QY, Zhang HY. Genome-wide epistasis analysis for Alzheimer's disease and implications for genetic risk prediction. Alzheimers Res Ther. 2021 03 04; 13(1):55.
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He L, Loika Y, Park Y. Exome-wide age-of-onset analysis reveals exonic variants in ERN1 and SPPL2C associated with Alzheimer's disease. Transl Psychiatry. 2021 02 26; 11(1):146.
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Chia R, Sabir MS, Bandres-Ciga S, Saez-Atienzar S, Reynolds RH, Gustavsson E, Walton RL, Ahmed S, Viollet C, Ding J, Makarious MB, Diez-Fairen M, Portley MK, Shah Z, Abramzon Y, Hernandez DG, Blauwendraat C, Stone DJ, Eicher J, Parkkinen L, Ansorge O, Clark L, Honig LS, Marder K, Lemstra A, St George-Hyslop P, Londos E, Morgan K, Lashley T, Warner TT, Jaunmuktane Z, Galasko D, Santana I, Tienari PJ, Myllykangas L, Oinas M, Cairns NJ, Morris JC, Halliday GM, Van Deerlin VM, Trojanowski JQ, Grassano M, Calvo A, Mora G, Canosa A, Floris G, Bohannan RC, Brett F, Gan-Or Z, Geiger JT, Moore A, May P, Krüger R, Goldstein DS, Lopez G, Tayebi N, Sidransky E. Genome sequencing analysis identifies new loci associated with Lewy body dementia and provides insights into its genetic architecture. Nat Genet. 2021 03; 53(3):294-303.
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Robins C, Liu Y, Fan W, Duong DM, Meigs J, Harerimana NV, Gerasimov ES, Dammer EB, Cutler DJ, Beach TG, Reiman EM, De Jager PL, Bennett DA, Lah JJ, Wingo AP, Levey AI, Seyfried NT, Wingo TS. Genetic control of the human brain proteome. Am J Hum Genet. 2021 03 04; 108(3):400-410.
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Jones G, Trajanoska K, Santanasto AJ, Stringa N, Kuo CL, Atkins JL, Lewis JR, Duong T, Hong S, Biggs ML, Luan J, Sarnowski C, Lunetta KL, Tanaka T, Wojczynski MK, Cvejkus R, Nethander M, Ghasemi S, Yang J, Zillikens MC, Walter S, Sicinski K, Kague E, Ackert-Bicknell CL, Arking DE, Windham BG, Boerwinkle E, Grove ML, Graff M, Spira D, Demuth I, van der Velde N, de Groot LCPGM, Psaty BM, Odden MC, Fohner AE, Langenberg C, Wareham NJ, Bandinelli S, van Schoor NM, Huisman M, Tan Q, Zmuda J, Mellström D, Karlsson M, Bennett DA, Buchman AS, De Jager PL, Uitterlinden AG, Völker U, Kocher T, Teumer A, Rodriguéz-Mañas L, García FJ, Carnicero JA, Herd P, Bertram L, Ohlsson C, Murabito JM, Melzer D, Kuchel GA, Ferrucci L, Karasik D, Rivadeneira F, Kiel DP, Pilling LC. Genome-wide meta-analysis of muscle weakness identifies 15 susceptibility loci in older men and women. Nat Commun. 2021 01 28; 12(1):654.
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