 Models, Genetic
"Models, Genetic" 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.
Theoretical representations that simulate the behavior or activity of genetic processes or phenomena. They include the use of mathematical equations, computers, and other electronic equipment.
| Descriptor ID |
D008957
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| MeSH Number(s) |
E05.599.395.397
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| Concept/Terms |
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Below are MeSH descriptors whose meaning is more general than "Models, Genetic".
Below are MeSH descriptors whose meaning is more specific than "Models, Genetic".
This graph shows the total number of publications written about "Models, Genetic" by people in this website by year, and whether "Models, Genetic" 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 |
|---|
| 1991 | 1 | 5 | 6 | | 1992 | 4 | 3 | 7 | | 1993 | 2 | 4 | 6 | | 1994 | 4 | 10 | 14 | | 1995 | 0 | 6 | 6 | | 1996 | 2 | 6 | 8 | | 1997 | 1 | 8 | 9 | | 1998 | 2 | 5 | 7 | | 1999 | 2 | 10 | 12 | | 2000 | 2 | 5 | 7 | | 2001 | 1 | 16 | 17 | | 2002 | 2 | 10 | 12 | | 2003 | 4 | 12 | 16 | | 2004 | 9 | 14 | 23 | | 2005 | 9 | 22 | 31 | | 2006 | 9 | 22 | 31 | | 2007 | 2 | 18 | 20 | | 2008 | 4 | 20 | 24 | | 2009 | 7 | 20 | 27 | | 2010 | 8 | 21 | 29 | | 2011 | 4 | 14 | 18 | | 2012 | 6 | 12 | 18 | | 2013 | 12 | 14 | 26 | | 2014 | 5 | 17 | 22 | | 2015 | 1 | 13 | 14 | | 2016 | 5 | 8 | 13 | | 2017 | 7 | 11 | 18 | | 2018 | 8 | 15 | 23 | | 2019 | 5 | 8 | 13 | | 2020 | 1 | 7 | 8 | | 2021 | 0 | 4 | 4 |
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Below are the most recent publications written about "Models, Genetic" by people in Profiles.
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Gerber AN, Newton R, Sasse SK. Repression of transcription by the glucocorticoid receptor: A parsimonious model for the genomics era. J Biol Chem. 2021 Jan-Jun; 296:100687.
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Kemper KE, Yengo L, Zheng Z, Abdellaoui A, Keller MC, Goddard ME, Wray NR, Yang J, Visscher PM. Phenotypic covariance across the entire spectrum of relatedness for 86 billion pairs of individuals. Nat Commun. 2021 02 16; 12(1):1050.
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Gally F, Sasse SK, Kurche JS, Gruca MA, Cardwell JH, Okamoto T, Chu HW, Hou X, Poirion OB, Buchanan J, Preissl S, Ren B, Colgan SP, Dowell RD, Yang IV, Schwartz DA, Gerber AN. The MUC5B-associated variant rs35705950 resides within an enhancer subject to lineage- and disease-dependent epigenetic remodeling. JCI Insight. 2021 01 25; 6(2).
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Demange PA, Malanchini M, Mallard TT, Biroli P, Cox SR, Grotzinger AD, Tucker-Drob EM, Abdellaoui A, Arseneault L, van Bergen E, Boomsma DI, Caspi A, Corcoran DL, Domingue BW, Harris KM, Ip HF, Mitchell C, Moffitt TE, Poulton R, Prinz JA, Sugden K, Wertz J, Williams BS, de Zeeuw EL, Belsky DW, Harden KP, Nivard MG. Investigating the genetic architecture of noncognitive skills using GWAS-by-subtraction. Nat Genet. 2021 01; 53(1):35-44.
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Santoriello FJ, Michel L, Unterweger D, Pukatzki S. Pandemic Vibrio cholerae shuts down site-specific recombination to retain an interbacterial defence mechanism. Nat Commun. 2020 12 07; 11(1):6246.
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Drogalis LK, Batey RT. Requirements for efficient ligand-gated co-transcriptional switching in designed variants of the B. subtilis pbuE adenine-responsive riboswitch in E. coli. PLoS One. 2020; 15(12):e0243155.
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Thessen AE, Walls RL, Vogt L, Singer J, Warren R, Buttigieg PL, Balhoff JP, Mungall CJ, McGuinness DL, Stucky BJ, Yoder MJ, Haendel MA. Transforming the study of organisms: Phenomic data models and knowledge bases. PLoS Comput Biol. 2020 11; 16(11):e1008376.
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Skinner A, Yang CH, Hincks K, Wang H, Resendiz MJE. Experimental and theoretical rationalization for the base pairing abilities of inosine, guanosine, adenosine, and their corresponding 8-oxo-7,8-dihydropurine, and 8-bromopurine analogues within A-form duplexes of RNA. Biopolymers. 2020 Dec; 111(12):e23410.
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Fukushima K, Pollock DD. Amalgamated cross-species transcriptomes reveal organ-specific propensity in gene expression evolution. Nat Commun. 2020 09 08; 11(1):4459.
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Li X, Li Z, Zhou H, Gaynor SM, Liu Y, Chen H, Sun R, Dey R, Arnett DK, Aslibekyan S, Ballantyne CM, Bielak LF, Blangero J, Boerwinkle E, Bowden DW, Broome JG, Conomos MP, Correa A, Cupples LA, Curran JE, Freedman BI, Guo X, Hindy G, Irvin MR, Kardia SLR, Kathiresan S, Khan AT, Kooperberg CL, Laurie CC, Liu XS, Mahaney MC, Manichaikul AW, Martin LW, Mathias RA, McGarvey ST, Mitchell BD, Montasser ME, Moore JE, Morrison AC, O'Connell JR, Palmer ND, Pampana A, Peralta JM, Peyser PA, Psaty BM, Redline S, Rice KM, Rich SS, Smith JA, Tiwari HK, Tsai MY, Vasan RS, Wang FF, Weeks DE, Weng Z, Wilson JG, Yanek LR, Neale BM, Sunyaev SR, Abecasis GR, Rotter JI, Willer CJ, Peloso GM, Natarajan P, Lin X. Dynamic incorporation of multiple in silico functional annotations empowers rare variant association analysis of large whole-genome sequencing studies at scale. Nat Genet. 2020 09; 52(9):969-983.
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