 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 |
|---|
| 1980 | 0 | 1 | 1 | | 1981 | 0 | 1 | 1 | | 1983 | 1 | 0 | 1 | | 1985 | 0 | 2 | 2 | | 1987 | 1 | 2 | 3 | | 1988 | 2 | 1 | 3 | | 1989 | 3 | 5 | 8 | | 1990 | 2 | 0 | 2 | | 1991 | 2 | 4 | 6 | | 1992 | 3 | 2 | 5 | | 1993 | 2 | 6 | 8 | | 1994 | 4 | 9 | 13 | | 1995 | 0 | 3 | 3 | | 1996 | 2 | 6 | 8 | | 1997 | 0 | 8 | 8 | | 1998 | 1 | 5 | 6 | | 1999 | 2 | 14 | 16 | | 2000 | 1 | 7 | 8 | | 2001 | 1 | 13 | 14 | | 2002 | 2 | 9 | 11 | | 2003 | 4 | 13 | 17 | | 2004 | 11 | 18 | 29 | | 2005 | 12 | 24 | 36 | | 2006 | 10 | 23 | 33 | | 2007 | 3 | 15 | 18 | | 2008 | 5 | 20 | 25 | | 2009 | 6 | 23 | 29 | | 2010 | 6 | 18 | 24 | | 2011 | 3 | 14 | 17 | | 2012 | 8 | 18 | 26 | | 2013 | 12 | 15 | 27 | | 2014 | 5 | 16 | 21 | | 2015 | 1 | 13 | 14 | | 2016 | 5 | 9 | 14 | | 2017 | 5 | 8 | 13 | | 2018 | 1 | 0 | 1 |
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Below are the most recent publications written about "Models, Genetic" by people in Profiles.
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Conley D, Johnson R, Domingue B, Dawes C, Boardman J, Siegal ML. A sibling method for identifying vQTLs. PLoS One. 2018; 13(4):e0194541.
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Szucs M, Vahsen ML, Melbourne BA, Hoover C, Weiss-Lehman C, Hufbauer RA. Rapid adaptive evolution in novel environments acts as an architect of population range expansion. Proc Natl Acad Sci U S A. 2017 Dec 19; 114(51):13501-13506.
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Kopp M, Servedio MR, Mendelson TC, Safran RJ, Rodríguez RL, Hauber ME, Scordato EC, Symes LB, Balakrishnan CN, Zonana DM, van Doorn GS. Mechanisms of Assortative Mating in Speciation with Gene Flow: Connecting Theory and Empirical Research. Am Nat. 2018 01; 191(1):1-20.
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Pines G, Winkler JD, Pines A, Gill RT. Refactoring the Genetic Code for Increased Evolvability. MBio. 2017 11 14; 8(6).
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Park DS, Eskin I, Kang EY, Gamazon ER, Eng C, Gignoux CR, Galanter JM, Burchard E, Ye CJ, Aschard H, Eskin E, Halperin E, Zaitlen N. An ancestry-based approach for detecting interactions. Genet Epidemiol. 2018 02; 42(1):49-63.
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Semenov GA, Scordato ESC, Khaydarov DR, Smith CCR, Kane NC, Safran RJ. Effects of assortative mate choice on the genomic and morphological structure of a hybrid zone between two bird subspecies. Mol Ecol. 2017 Nov; 26(22):6430-6444.
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Fountain-Jones NM, Craft ME, Funk WC, Kozakiewicz C, Trumbo DR, Boydston EE, Lyren LM, Crooks K, Lee JS, VandeWoude S, Carver S. Urban landscapes can change virus gene flow and evolution in a fragmentation-sensitive carnivore. Mol Ecol. 2017 Nov; 26(22):6487-6498.
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Silventoinen K, Jelenkovic A, Latvala A, Sund R, Yokoyama Y, Ullemar V, Almqvist C, Derom CA, Vlietinck RF, Loos RJF, Kandler C, Honda C, Inui F, Iwatani Y, Watanabe M, Rebato E, Stazi MA, Fagnani C, Brescianini S, Hur YM, Jeong HU, Cutler TL, Hopper JL, Busjahn A, Saudino KJ, Ji F, Ning F, Pang Z, Rose RJ, Koskenvuo M, Heikkilä K, Cozen W, Hwang AE, Mack TM, Siribaddana SH, Hotopf M, Sumathipala A, Rijsdijk F, Sung J, Kim J, Lee J, Lee S, Nelson TL, Whitfield KE, Tan Q, Zhang D, Llewellyn CH, Fisher A, Burt SA, Klump KL, Knafo-Noam A, Mankuta D, Abramson L, Medland SE, Martin NG, Montgomery GW, Magnusson PKE, Pedersen NL, Dahl Aslan AK, Corley RP, Huibregtse BM, Öncel SY, Aliev F, Krueger RF, McGue M, Pahlen S, Willemsen G, Bartels M, van Beijsterveldt CEM, Silberg JL, Eaves LJ, Maes HH, Harris JR, Brandt I, Nilsen TS, Rasmussen F, Tynelius P, Baker LA, Tuvblad C, Ordoñana JR, Sánchez-Romera JF, Colodro-Conde L, Gatz M, Butler DA, Lichtenstein P, Goldberg JH, Harden KP, Tucker-Drob EM, Duncan GE, Buchwald D, Tarnoki AD, Tarnoki DL, Franz CE, Kremen WS, Lyons MJ, Maia JA, Freitas DL, Turkheimer E, Sørensen TIA, Boomsma DI, Kaprio J. Education in Twins and Their Parents Across Birth Cohorts Over 100 years: An Individual-Level Pooled Analysis of 42-Twin Cohorts. Twin Res Hum Genet. 2017 10; 20(5):395-405.
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DeGregori J. Connecting Cancer to Its Causes Requires Incorporation of Effects on Tissue Microenvironments. Cancer Res. 2017 11 15; 77(22):6065-6068.
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Estes JP, Rice JD, Li S, Stringham HM, Boehnke M, Mukherjee B. Meta-analysis of gene-environment interaction exploiting gene-environment independence across multiple case-control studies. Stat Med. 2017 Oct 30; 36(24):3895-3909.
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