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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| 2005 | 1 | 0 | 1 | | 2008 | 1 | 2 | 3 | | 2009 | 14 | 11 | 25 | | 2010 | 16 | 30 | 46 | | 2011 | 13 | 26 | 39 | | 2012 | 16 | 32 | 48 | | 2013 | 18 | 29 | 47 | | 2014 | 32 | 45 | 77 | | 2015 | 14 | 33 | 47 | | 2016 | 22 | 34 | 56 | | 2017 | 23 | 41 | 64 | | 2018 | 14 | 44 | 58 | | 2019 | 18 | 65 | 83 | | 2020 | 14 | 29 | 43 | | 2021 | 30 | 40 | 70 | | 2022 | 43 | 38 | 81 | | 2023 | 18 | 42 | 60 | | 2024 | 27 | 30 | 57 | | 2025 | 14 | 51 | 65 | | 2026 | 9 | 20 | 29 |
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Below are the most recent publications written about "Genome-Wide Association Study" by people in Profiles.
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Wang N, DiCorpo DA, Zhang Y, Kleinbrink E, Arnett DK, Barnard J, Blangero J, Bowden DW, Carson AP, Chen YI, Chung MK, Curran JE, Darbar D, Duggirala R, Ellinor PT, Fatkin D, Fornage M, Heard-Costa N, He J, Hou L, Kardia SLR, Kooperberg C, Loos RJF, McManus DD, Mitchell BD, Minster RL, North KE, Psaty BM, Raffield LM, Redline S, Rich SS, Roden D, Rotter JI, Shoemaker MB, Smith JD, Van Wagoner DR, Aguet F, Ardlie K, Bis JC, Brody JA, Cade BE, Clish CB, de Vries PS, Floyd JS, Freedman BI, Gabriel S, Gerzsten RE, Goodarzi MO, Gu C, Guo X, Gupta N, Heckbert SR, Hsu S, Hung YJ, Kalyani RR, Kelly TN, Kinney GL, Li C, Liu S, Liu Y, Lloyd-Jones DM, Manson JE, Mathias RA, Mercader JM, Morrison AC, Naseri T, Onengut S, Palmer ND, Peyser PA, Qi Q, Raghavan S, Reiner AP, Rooney MR, Sevilla-Gonzalez M, Sarnowski C, Smith JD, Smith JA, Spartano NL, Tahir U, Taylor KD, Tobias DK, Tracy RP, Viali S, Wang H, Wood AC, Yanek LR, Zhao W, Zheng Y, Dupuis J, Liu CT, Sladek R, Wessel J, Meigs JB, Manning AK. Colocalization of eQTLs With Type 2 Diabetes and Glycemic Traits Using Whole-Genome Sequences in Diverse Populations From the NHLBI Trans-Omics in Precision Medicine (TOPMed) Program. Diabetes. 2026 Aug 01; 75(8):1477-1491.
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Irvin MR, Srinivasasainagendra V, Armstrong ND, Patki A, Broeckel U, Wang Z, Lange LA, Limdi NA, Huerta-Chagoya A, Kim J, Ng MCY, Mercader JM, Tiwari HK. Improving performance of polygenic risk scores for hypertension across two ancestry groups. PLoS One. 2026; 21(7):e0353311.
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Orchard P, Blackwell TW, Kachuri L, Castaldi PJ, Cho MH, Christenson SA, Durda P, Gabriel S, Hersh CP, Huntsman S, Hwang S, Joehanes R, Johnson M, Li X, Lin H, Liu CT, Liu Y, Mak ACY, Manichaikul AW, Paik DT, Saferali A, Smith JD, Taylor KD, Tracy RP, Wang J, Wang M, Weinstock JS, Weiss J, Wheeler HE, Zhou Y, Zöllner S, Wu JC, Mestroni L, Graw S, Taylor MRG, Ortega VE, Johnson WC, Gan W, Abecasis G, Nickerson DA, Gupta N, Ardlie K, Woodruff PG, Bowler RP, Meyers DA, Reiner A, Kooperberg C, Ziv E, Vasan RS, Larson MG, Cupples LA, Silverman EK, Rich SS, Heard-Costa N, Tang H, Rotter JI, Smith AV, Levy D, Aguet F, Scott LJ, Raffield LM, Parker SCJ, Abe N, Almasy L, Ament S, Anugu P, Auer P, Avramopoulos D, Balasubramanian A, Barr RG, Barwick L, Beaty T, Becker D, Becker L, Beitelshees A, Benos T, Bezerra M, Bis J, Brody J, Broeckel U, Broome J, Bunting K, Buth E, Carey V, Carty C, Casaburi R, Chaffin M, Chang C, Chang YC, Chavan S, Chen BJ, Chen WM, Choi SH, Chuang LM, Chung RH, Conomos M, Cornell E, Crandall C, Crapo J, Curtis J, Damcott C, David S, de Las Fuentes L, de Vries P, Deka R, DeMeo D, Devine S, Dinh H, Doddapaneni H, Duan Q, Duggirala R, Eaton C, Ekunwe L, El Boueiz A, Emery L, Farber C, Farek J, Franceschini N, Frazar C, Fu M, Fullerton SM, Fulton L, Gao S, Gao Y, Gass M, Geiger H, Ghosh A, Gignoux C, Glahn D, Gogarten S, Gong DW, Goring H, Grine D, Gu CC, Guan Y, Hall M, Han Y, Harris D, Heavner B, Herrington D, Hobbs B, Hong E, Hoth K, Hsiung CA, Hu J, Hung YJ, Huston H, Hwu CM, Jackson R, Jain D, Johnsen J, Johnston R, Jones K, Kessler M, Khan A, Khan Z, Kim W, Kimoff J, Kinney G, Kramer H, Lange C, Lange E, Laurie C, Laurie C, LeBoff M, Lee S, Lee WJ, Levine D, Lewis J, Li Y, Lin X, Liu S, Liu Y, Make B, Manning A, Manson J, Martin L, Marton M, Mathai S, May S, McArdle P, McDonald ML, McFarland S, McGoldrick D, McHugh C, Mei H, Meigs J, Menon V, Min N, Moll M, Momin Z, Montasser M, Mychaleckyj JC, Naik R, Naseri T, Natarajan P, Nelson SC, Neltner B, Nessner C, Nkechinyere O, O'Connell J, O'Connor T, Ochs-Balcom H, Okwuonu G, Pankow J, Parker C, Peloso G, Peralta JM, Perez M, Perry J, Peters U, Phillips LS, Pollin T, Becker JP, Boorgula MP, Psaty B, Qiao D, Rafaels N, Rajendran M, Rasmussen-Torvik L, Ratan A, Reed R, Regan E, Reupena MS, Robillard R, Roselli C, Ruczinski I, Runnels A, Russell P, Ryan K, Sabino EC, Salimi S, Salvi S, Salzberg S, Sandow K, Santibanez J, Schwander K, Sciurba F, Sériès F, Shetty A, Shetty A, Silver B, Skomro R, Smith T, Smoller S, Snively B, Stilp AM, Storm G, Streeten E, Su JL, Sung YJ, Sylvia J, Szpiro A, Taub M, Taylor S, Thornton TA, Threlkeld M, Tinker L, Tirschwell D, Tiwari H, Tong C, Tsai M, Vaidya D, Walker T, Wallace R, Walts A, Wang FF, Wang H, Watson K, Watt J, Weng LC, Wessel J, Williams K, Wilson C, Wilson J, Winterkorn L, Wong Q, Wu B, Xu H, Yanek L, Yang I, Zekavat SM, Zhao SX, Zhao W, Zhu X. Cross-cohort analysis of expression and splicing quantitative trait loci in TOPMed. Science. 2026 Jul 16; 393(6808):eadx2989.
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Benthal JT, Avila JA, Smith JR, Southard-Smith EM. Combinatorial multiomic analysis from a pedigree of Sox10Dom Hirschsprung mice identifies multiple high confidence candidate modifiers of Enteric Nervous System development. PLoS Comput Biol. 2026 Jul; 22(7):e1014424.
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Peljto AL, Furusawa H, Puthenvedu D, Lee JS, Steele MP, Brancato J, Cardwell J, Blumhagen RZ, de Andrade J, Bendstrup E, Blackwell TS, Bonella F, Borie R, Braybrooke R, Brown KK, Carbone RG, Christie JD, Costabel U, Crestani B, Davidsen JR, Dieude P, Donnelly SC, Egan J, Eickelberg O, Fernández Pérez ER, Fiddler CA, Foster EE, Gibson KF, Gudmundsson G, Guthridge JM, Henry MT, Hirani N, Jenkins RG, Kass DJ, Keane MP, Kokturk N, Kropski JA, Lederer D, Leone PM, Linderholm AL, Maher TM, Mathai SK, McCarthy C, McElroy AN, Mogulkoc N, Molina-Molina M, Molyneaux PL, Montesi SB, Nathan SD, Noth I, Olaniyi JA, Oldham JM, O'Reilly KMA, Palmisciano AJ, Pardo A, Parfrey H, Planas-Cerezales L, Poletti V, Porteous MK, Puppo F, Richeldi L, Rojas M, Salinas M, Schluger N, Selman M, Shea BS, Sterclova M, Solomon JJ, Tomassetti S, Vasakova MK, Zhang Y, Corte TJ, Dickinson JL, Glaspole I, Moodley YP, Prele CMA, Ryerson CJ, Wolters PJ, Jinno M, Miyata Y, Akagawa S, Narumoto O, Kita T, Shibayama T, Li T, Owan I, Wakamatsu K, Arai T, Hirose M, Kim DS, Ohta K, Ohta S, Park JS, Park MS, Yang IV, Fingerlin TE, Miyazaki Y, Okamoto T, Inoue Y, Song JW, Schwartz DA. Idiopathic pulmonary fibrosis risk loci in East Asian populations mirror those of European populations. Am J Respir Crit Care Med. 2026 07 01; 212(7):1522-1532.
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Chiles JW, Rocco A, Srinivasasainagendra V, Rossiter HB, Casaburi R, Thalacker-Mercer A, Wells JM, Wan ES, Silverman EK, Cho MH, Hersh CP, Psaty BM, Gharib SA, Gao Y, O'Connor GT, Lange LA, Rich SS, Manichaikul AW, Barr RG, Ortega VE, Meyers DA, Smith AV, Tiwari HK, McDonald MN. Whole Genome Sequence Analysis of Weight Loss in 16?972 Participants With COPD Reveals Novel Risk Loci in DRAIC and RFX3. J Cachexia Sarcopenia Muscle. 2026 Jun; 17(3):e70293.
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Purdy AL, Bakhshian Nik A, Arkatkar AA, Hasan P, Flinn MA, Choudhury P, Wood C, Takizawa A, Malloy L, Tutaj M, Drysdale TA, Bridgewater D, Link BA, Plageman TF, Kwitek AE, Dwinell MR, Saba LM, O'Meara CC, Patterson M. Genome-wide association mapping and targeted loss of function studies identify Shroom3 as a driver of hyperpolyploidy and ventricular dilation. Proc Natl Acad Sci U S A. 2026 Jun 02; 123(22):e2522068123.
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Zhang J, Moll M, Debban CL, Hobbs BD, Rijhwani H, Washko GR, Celli BR, Silverman EK, Bakke P, Oelsner EC, Barr RG, Agustí A, Faner R, Bruselle GG, Humphries SM, Lynch DA, Dupuis J, Manichaikul AW, O'Connor GT, Cho MH. Body Mass Index-related genetic factors and COPD imaging phenotypes. Ann Am Thorac Soc. 2026 May 01; 23(5):720-727.
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Moolhuijsen LME, Zhu J, Mullin BH, Pujol-Gualdo N, Actkins KV, Mack JA, Rao H, Trivedi B, Kentistou KA, Zhao Y, Westergaard D, Tyrmi JS, Thorleifsson G, Zhang Y, Wittemans L, DeVries A, Brewer K, Sisk R, Danning R, Preuss MH, Jones MR, Ruth KS, Andersen M, Azziz R, Banasik K, Boehnke M, Broer L, Brunak S, Chan YM, Chasman DI, Daly M, Ehrmann DA, Fauser BC, Fritsche LG, Hayes MG, He C, Huang H, Kowalska I, Kraft P, Legro RS, Lin N, Loos RJ, Louwers YV, Magi R, McCarthy MI, Morin-Papunen L, Morrison JV, Morton C, Nadkarni GN, Neale BM, Nielsen HS, Nyegaard M, Ostrowski SR, Pedersen OBV, Sørensen E, Mikkelsen C, Erikstrup C, Kaspersen KA, Bruun MT, Aagaard B, Ullum H, Obermayer-Pietsch B, Palotie A, Reeve MP, Salumets A, Saxena R, Spector TD, Stuckey BGA, Thorsteinsdottir U, Uitterlinden AG, Urbanek M, Zöllner S, van Heel DA, Hirschhorn JN, Stefansson K, Perry JRB, Styrkarsdottir U, Wilson SG, Piltonen T, Laisk T, Jarvelin MR, Burns K, Justice AE, Laivuori H, Ong KK, Goodarzi MO, Davis LK, Dunaif A, Lindgren CM, Laven JSE, Franks S, Visser JA, Welt CK, Karaderi T, Day FR. Genomic analyses implicate hormonal and metabolic dysregulation in polycystic ovary syndrome. Nat Genet. 2026 May; 58(5):1040-1050.
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Weisburd B, Dolzhenko E, Bennett MF, Danzi MC, Xu IRL, Tanudisastro H, Gu B, English A, Hiatt L, Mokveld T, De Sena Brandine G, Chiu R, Kurtas NE, Jam HZ, Brand H, Rajan-Babu IS, Bahlo M, Chaisson MJP, Züchner S, Gymrek M, Dashnow H, Eberle MA, Rehm HL. Defining a tandem repeat catalog and variation clusters for genome-wide analyses and population databases. Am J Hum Genet. 2026 May 07; 113(5):915-928.
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