 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 | 1 | 1 | 2 | | 2009 | 7 | 3 | 10 | | 2010 | 7 | 9 | 16 | | 2011 | 6 | 8 | 14 | | 2012 | 6 | 14 | 20 | | 2013 | 6 | 10 | 16 | | 2014 | 1 | 17 | 18 | | 2015 | 10 | 6 | 16 | | 2016 | 4 | 7 | 11 | | 2017 | 2 | 6 | 8 | | 2018 | 0 | 10 | 10 | | 2019 | 1 | 4 | 5 | | 2020 | 1 | 3 | 4 | | 2021 | 0 | 2 | 2 | | 2022 | 1 | 2 | 3 | | 2023 | 0 | 4 | 4 | | 2024 | 1 | 2 | 3 |
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Below are the most recent publications written about "Genome-Wide Association Study" by people in Profiles.
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Smail C, Ge B, Keever-Keigher MR, Schwendinger-Schreck C, Cheung WA, Johnston JJ, Barrett C, Feldman K, Cohen ASA, Farrow EG, Thiffault I, Grundberg E, Pastinen T. Complex trait associations in rare diseases and impacts on Mendelian variant interpretation. Nat Commun. 2024 Sep 18; 15(1):8196.
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Wang H, Reid BM, Richmond RC, Lane JM, Saxena R, Gonzalez BD, Fridley BL, Redline S, Tworoger SS, Wang X. Impact of insomnia on ovarian cancer risk and survival: a?Mendelian randomization study. EBioMedicine. 2024 Jun; 104:105175.
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Christiansen C, Potier L, Martin TC, Villica?a S, Castillo-Fernandez JE, Mangino M, Menni C, Tsai PC, Campbell PJ, Mullin S, Ordo?ana JR, Monteagudo O, Sachdev PS, Mather KA, Trollor JN, Pietilainen KH, Ollikainen M, Dalg?rd C, Kyvik K, Christensen K, van Dongen J, Willemsen G, Boomsma DI, Magnusson PKE, Pedersen NL, Wilson SG, Grundberg E, Spector TD, Bell JT. Enhanced resolution profiling in twins reveals differential methylation signatures of type 2 diabetes with links to its complications. EBioMedicine. 2024 May; 103:105096.
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Shuey MM, Stead WW, Aka I, Barnado AL, Bastarache JA, Brokamp E, Campbell M, Carroll RJ, Goldstein JA, Lewis A, Malow BA, Mosley JD, Osterman T, Padovani-Claudio DA, Ramirez A, Roden DM, Schuler BA, Siew E, Sucre J, Thomsen I, Tinker RJ, Van Driest S, Walsh C, Warner JL, Wells QS, Wheless L, Bastarache L. Next-generation phenotyping: introducing phecodeX for enhanced discovery research in medical phenomics. Bioinformatics. 2023 11 01; 39(11).
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Mullin BH, Zhu K, Brown SJ, Mullin S, Dudbridge F, Pavlos NJ, Richards JB, Grundberg E, Bell JT, Zeggini E, Walsh JP, Xu J, Wilson SG. Leveraging osteoclast genetic regulatory data to identify genes with a role in osteoarthritis. Genetics. 2023 10 04; 225(2).
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Cramer EY, Bartlett J, Chan ER, Gaedigk A, Ratsimbasoa AC, Mehlotra RK, Williams SM, Zimmerman PA. Pharmacogenomic variation in the Malagasy population: implications for the antimalarial drug primaquine metabolism. Pharmacogenomics. 2023 07; 24(11):583-597.
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Hassan N, Gregson CL, Tang H, van der Kamp M, Leo P, McInerney-Leo AM, Zheng J, Brandi ML, Tang JCY, Fraser W, Stone MD, Grundberg E, Brown MA, Duncan EL, Tobias JH. Rare and Common Variants in GALNT3 May Affect Bone Mass Independently of Phosphate Metabolism. J Bone Miner Res. 2023 05; 38(5):678-691.
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Durand A, Winkler CA, Vince N, Douillard V, Geffard E, Binns-Roemer E, Ng DK, Gourraud PA, Reidy K, Warady B, Furth S, Kopp JB, Kaskel FJ, Limou S. Identification of Novel Genetic Risk Factors for Focal Segmental Glomerulosclerosis in Children: Results From the Chronic Kidney Disease in Children (CKiD) Cohort. Am J Kidney Dis. 2023 06; 81(6):635-646.e1.
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Fasching PA, Liu D, Scully S, Ingle JN, Lyra PC, Rack B, Hein A, Ekici AB, Reis A, Schneeweiss A, Tesch H, Fehm TN, Heinrich G, Beckmann MW, Ruebner M, Huebner H, Lambrechts D, Madden E, Shen J, Romm J, Doheny K, Jenkins GD, Carlson EE, Li L, Fridley BL, Cunningham JM, Janni W, Monteiro ANA, Schaid DJ, H?berle L, Weinshilboum RM, Wang L. Identification of Two Genetic Loci Associated with Leukopenia after Chemotherapy in Patients with Breast Cancer. Clin Cancer Res. 2022 08 02; 28(15):3342-3355.
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Smail C, Ferraro NM, Hui Q, Durrant MG, Aguirre M, Tanigawa Y, Keever-Keigher MR, Rao AS, Justesen JM, Li X, Gloudemans MJ, Assimes TL, Kooperberg C, Reiner AP, Huang J, O'Donnell CJ, Sun YV, Rivas MA, Montgomery SB. Integration of rare expression outlier-associated variants improves polygenic risk prediction. Am J Hum Genet. 2022 06 02; 109(6):1055-1064.
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