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.

MeSH information

Definition | Details | More General Concepts | Related Concepts | More Specific Concepts

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
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
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

Below are MeSH descriptors whose meaning is more general than "Genome-Wide Association Study".

Analytical, Diagnostic and Therapeutic Techniques and Equipment [E]
Investigative Techniques [E05]
Epidemiologic Methods [E05.318]
Molecular Epidemiology [E05.318.416]
Genome-Wide Association Study [E05.318.416.249]
Epidemiologic Research Design [E05.318.780]
Genome-Wide Association Study [E05.318.780.392]
Genetic Techniques [E05.393]
Genetic Association Studies [E05.393.385]
Genome-Wide Association Study [E05.393.385.500]
Molecular Epidemiology [E05.393.522]
Genome-Wide Association Study [E05.393.522.500]
Sequence Analysis [E05.393.760]
Oligonucleotide Array Sequence Analysis [E05.393.760.640]
Genome-Wide Association Study [E05.393.760.640.500]
Health Care [N]
Environment and Public Health [N06]
Public Health [N06.850]
Epidemiologic Methods [N06.850.520]
Epidemiologic Research Design [N06.850.520.445]
Genome-Wide Association Study [N06.850.520.445.392]
Molecular Epidemiology [N06.850.520.470]
Genome-Wide Association Study [N06.850.520.470.500]

Below are MeSH descriptors whose meaning is more specific than "Genome-Wide Association Study".

publications

Timeline | Most Recent

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.

Bar chart showing 290 publications over 17 distinct years, with a maximum of 25 publications in 2015

To see the data from this visualization as text, click here.

Year	Major Topic	Minor Topic	Total
2008	1	1	2
2009	0	6	6
2010	2	12	14
2011	8	15	23
2012	6	15	21
2013	9	14	23
2014	10	13	23
2015	4	21	25
2016	7	14	21
2017	10	9	19
2018	5	12	17
2019	9	9	18
2020	4	9	13
2021	9	10	19
2022	7	10	17
2023	0	14	14
2024	5	10	15

Below are the most recent publications written about "Genome-Wide Association Study" by people in Profiles.

Debeljak M, Cho S, Downs BM, Considine M, Avin-McKelvey B, Wang Y, Perez PN, Grizzle WE, Hoadley KA, Lynch CF, Hernandez BY, van Diest PJ, Cozen W, Hamilton AS, Hawes D, Gabrielson E, Cimino-Mathews A, Florea LD, Cope L, Umbricht CB. Multimodal genome-wide survey of progressing and non-progressing breast ductal carcinoma in-situ. Breast Cancer Res. 2024 Dec 04; 26(1):178.

View in: PubMed
Beigel K, Wang XM, Song L, Maurer K, Breen C, Taylor D, Goldman D, Petri M, Sullivan KE. Comparison of cell type and disease subset chromatin modifications in SLE. Clin Epigenetics. 2024 Nov 14; 16(1):159.

View in: PubMed
Sidhu JS, Lopez-Valdivia I, Strock CF, Schneider HM, Lynch JP. Cortical parenchyma wall width regulates root metabolic cost and maize performance under suboptimal water availability. J Exp Bot. 2024 Sep 27; 75(18):5750-5767.

View in: PubMed
Ni Z, Kundu P, McKean DF, Wheeler W, Albanes D, Andreotti G, Antwi SO, Arslan AA, Bamlet WR, Beane-Freeman LE, Berndt SI, Bracci PM, Brennan P, Buring JE, Chanock SJ, Gallinger S, Gaziano JM, Giles GG, Giovannucci EL, Goggins MG, Goodman PJ, Haiman CA, Hassan MM, Holly EA, Hung RJ, Katzke V, Kooperberg C, Kraft P, LeMarchand L, Li D, McCullough ML, Milne RL, Moore SC, Neale RE, Oberg AL, Patel AV, Peters U, Rabe KG, Risch HA, Shu XO, Smith-Byrne K, Visvanathan K, Wactawski-Wende J, White E, Wolpin BM, Yu H, Zeleniuch-Jacquotte A, Zheng W, Zhong J, Amundadottir LT, Stolzenberg-Solomon RZ, Klein AP. Genome-Wide Analysis to Assess if Heavy Alcohol Consumption Modifies the Association between SNPs and Pancreatic Cancer Risk. Cancer Epidemiol Biomarkers Prev. 2024 Sep 03; 33(9):1229-1239.

View in: PubMed
Sun X, Verma SP, Jia G, Wang X, Ping J, Guo X, Shu XO, Chen J, Derkach A, Cai Q, Liang X, Long J, Offit K, Oh JH, Reiner AS, Watt GP, Woods M, Yang Y, Ambrosone CB, Ambs S, Chen Y, Concannon P, Garcia-Closas M, Gu J, Haiman CA, Hu JJ, Huo D, John EM, Knight JA, Li CI, Lynch CF, Mellemkj?r L, Nathanson KL, Nemesure B, Olopade OI, Olshan AF, Pal T, Palmer JR, Press MF, Sanderson M, Sandler DP, Troester MA, Zheng W, Bernstein JL, Buas MF, Shu X. Case-Case Genome-Wide Analyses Identify Subtype-Informative Variants That Confer Risk for Breast Cancer. Cancer Res. 2024 Aug 01; 84(15):2533-2548.

View in: PubMed
Berglund A, Yamoah K, Eschrich SA, Falahat R, Mul? JJ, Kim S, Matta J, Dutil J, Ruiz-Deya G, Ortiz Sanchez C, Wang L, Park H, Banerjee HN, Lotan T, Barry KH, Putney RM, Kim SJ, Gwede C, Kresovich JK, Kim Y, Lin HY, Dhillon J, Chakrabarti R, Park JY. Epigenome-wide association study of prostate cancer in African American men identified differentially methylated genes. Cancer Med. 2024 Aug; 13(16):e70044.

View in: PubMed
Klein SP, Kaeppler SM, Brown KM, Lynch JP. Integrating GWAS with a gene co-expression network better prioritizes candidate genes associated with root metaxylem phenes in maize. Plant Genome. 2024 Sep; 17(3):e20489.

View in: PubMed
Keener R, Chhetri SB, Connelly CJ, Taub MA, Conomos MP, Weinstock J, Ni B, Strober B, Aslibekyan S, Auer PL, Barwick L, Becker LC, Blangero J, Bleecker ER, Brody JA, Cade BE, Celedon JC, Chang YC, Cupples LA, Custer B, Freedman BI, Gladwin MT, Heckbert SR, Hou L, Irvin MR, Isasi CR, Johnsen JM, Kenny EE, Kooperberg C, Minster RL, Naseri T, Viali S, Nekhai S, Pankratz N, Peyser PA, Taylor KD, Telen MJ, Wu B, Yanek LR, Yang IV, Albert C, Arnett DK, Ashley-Koch AE, Barnes KC, Bis JC, Blackwell TW, Boerwinkle E, Burchard EG, Carson AP, Chen Z, Chen YI, Darbar D, de Andrade M, Ellinor PT, Fornage M, Gelb BD, Gilliland FD, He J, Islam T, Kaab S, Kardia SLR, Kelly S, Konkle BA, Kumar R, Loos RJF, Martinez FD, McGarvey ST, Meyers DA, Mitchell BD, Montgomery CG, North KE, Palmer ND, Peralta JM, Raby BA, Redline S, Rich SS, Roden D, Rotter JI, Ruczinski I, Schwartz D, Sciurba F, Shoemaker MB, Silverman EK, Sinner MF, Smith NL, Smith AV, Tiwari HK, Vasan RS, Weiss ST, Williams LK, Zhang Y, Ziv E, Raffield LM, Reiner AP, Arvanitis M, Greider CW, Mathias RA, Battle A. Validation of human telomere length multi-ancestry meta-analysis association signals identifies POP5 and KBTBD6 as human telomere length regulation genes. Nat Commun. 2024 May 24; 15(1):4417.

View in: PubMed
Jia G, Ping J, Guo X, Yang Y, Tao R, Li B, Ambs S, Barnard ME, Chen Y, Garcia-Closas M, Gu J, Hu JJ, Huo D, John EM, Li CI, Li JL, Nathanson KL, Nemesure B, Olopade OI, Pal T, Press MF, Sanderson M, Sandler DP, Shu XO, Troester MA, Yao S, Adejumo PO, Ahearn T, Brewster AM, Hennis AJM, Makumbi T, Ndom P, O'Brien KM, Olshan AF, Oluwasanu MM, Reid S, Butler EN, Huang M, Ntekim A, Qian H, Zhang H, Ambrosone CB, Cai Q, Long J, Palmer JR, Haiman CA, Zheng W. Genome-wide association analyses of breast cancer in women of African ancestry identify new susceptibility loci and improve risk prediction. Nat Genet. 2024 May; 56(5):819-826.

View in: PubMed
Ping J, Jia G, Cai Q, Guo X, Tao R, Ambrosone C, Huo D, Ambs S, Barnard ME, Chen Y, Garcia-Closas M, Gu J, Hu JJ, John EM, Li CI, Nathanson K, Nemesure B, Olopade OI, Pal T, Press MF, Sanderson M, Sandler DP, Yoshimatsu T, Adejumo PO, Ahearn T, Brewster AM, Hennis AJM, Makumbi T, Ndom P, O'Brien KM, Olshan AF, Oluwasanu MM, Reid S, Yao S, Butler EN, Huang M, Ntekim A, Li B, Troester MA, Palmer JR, Haiman CA, Long J, Zheng W. Using genome and transcriptome data from African-ancestry female participants to identify putative breast cancer susceptibility genes. Nat Commun. 2024 May 02; 15(1):3718.

View in: PubMed

People

Explore

Similar Concepts

Top Journals