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.

MeSH information

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

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
MeSH Number(s)	E05.599.395.397
Concept/Terms	Models, Genetic Models, Genetic Genetic Models Genetic Model Model, Genetic

Below are MeSH descriptors whose meaning is more general than "Models, Genetic".

Analytical, Diagnostic and Therapeutic Techniques and Equipment [E]
Investigative Techniques [E05]
Models, Theoretical [E05.599]
Models, Biological [E05.599.395]
Models, Genetic [E05.599.395.397]

Below are MeSH descriptors whose meaning is related to "Models, Genetic".

Below are MeSH descriptors whose meaning is more specific than "Models, Genetic".

publications

Timeline | Most Recent

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.

Bar chart showing 825 publications over 31 distinct years, with a maximum of 52 publications in 2004

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

Year	Major Topic	Minor Topic	Total
1991	1	2	3
1992	2	6	8
1993	1	2	3
1994	5	13	18
1995	3	9	12
1996	2	12	14
1997	3	9	12
1998	4	12	16
1999	2	27	29
2000	5	24	29
2001	3	31	34
2002	5	26	31
2003	9	37	46
2004	10	42	52
2005	10	39	49
2006	11	38	49
2007	8	37	45
2008	7	44	51
2009	5	26	31
2010	6	33	39
2011	11	25	36
2012	10	29	39
2013	13	19	32
2014	14	20	34
2015	8	12	20
2016	6	14	20
2017	6	11	17
2018	5	10	15
2019	5	17	22
2020	3	13	16
2021	1	2	3

Below are the most recent publications written about "Models, Genetic" by people in Profiles.

Minussi DC, Nicholson MD, Ye H, Davis A, Wang K, Baker T, Tarabichi M, Sei E, Du H, Rabbani M, Peng C, Hu M, Bai S, Lin YW, Schalck A, Multani A, Ma J, McDonald TO, Casasent A, Barrera A, Chen H, Lim B, Arun B, Meric-Bernstam F, Van Loo P, Michor F, Navin NE. Breast tumours maintain a reservoir of subclonal diversity during expansion. Nature. 2021 04; 592(7853):302-308.

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Taylor BC, Young NL. Combinations of histone post-translational modifications. Biochem J. 2021 02 12; 478(3):511-532.

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Hung RJ, Warkentin MT, Brhane Y, Chatterjee N, Christiani DC, Landi MT, Caporaso NE, Liu G, Johansson M, Albanes D, Marchand LL, Tardon A, Rennert G, Bojesen SE, Chen C, Field JK, Kiemeney LA, Lazarus P, Zienolddiny S, Lam S, Andrew AS, Arnold SM, Aldrich MC, Bickeböller H, Risch A, Schabath MB, McKay JD, Brennan P, Amos CI. Assessing Lung Cancer Absolute Risk Trajectory Based on a Polygenic Risk Model. Cancer Res. 2021 03 15; 81(6):1607-1615.

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Vanderpool D, Minh BQ, Lanfear R, Hughes D, Murali S, Harris RA, Raveendran M, Muzny DM, Hibbins MS, Williamson RJ, Gibbs RA, Worley KC, Rogers J, Hahn MW. Primate phylogenomics uncovers multiple rapid radiations and ancient interspecific introgression. PLoS Biol. 2020 12; 18(12):e3000954.

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Morita K, Wang F, Jahn K, Hu T, Tanaka T, Sasaki Y, Kuipers J, Loghavi S, Wang SA, Yan Y, Furudate K, Matthews J, Little L, Gumbs C, Zhang J, Song X, Thompson E, Patel KP, Bueso-Ramos CE, DiNardo CD, Ravandi F, Jabbour E, Andreeff M, Cortes J, Bhalla K, Garcia-Manero G, Kantarjian H, Konopleva M, Nakada D, Navin N, Beerenwinkel N, Futreal PA, Takahashi K. Clonal evolution of acute myeloid leukemia revealed by high-throughput single-cell genomics. Nat Commun. 2020 10 21; 11(1):5327.

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Karunamuni RA, Huynh-Le MP, Fan CC, Thompson W, Eeles RA, Kote-Jarai Z, Muir K, Lophatananon A, Tangen CM, Goodman PJ, Thompson IM, Blot WJ, Zheng W, Kibel AS, Drake BF, Cussenot O, Cancel-Tassin G, Menegaux F, Truong T, Park JY, Lin HY, Bensen JT, Fontham ETH, Mohler JL, Taylor JA, Multigner L, Blanchet P, Brureau L, Romana M, Leach RJ, John EM, Fowke J, Bush WS, Aldrich M, Crawford DC, Srivastava S, Cullen JC, Petrovics G, Parent MÉ, Hu JJ, Sanderson M, Mills IG, Andreassen OA, Dale AM, Seibert TM. African-specific improvement of a polygenic hazard score for age at diagnosis of prostate cancer. Int J Cancer. 2021 01 01; 148(1):99-105.

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Sun R, Xu M, Li X, Gaynor S, Zhou H, Li Z, Bossé Y, Lam S, Tsao MS, Tardon A, Chen C, Doherty J, Goodman G, Bojesen SE, Landi MT, Johansson M, Field JK, Bickeböller H, Wichmann HE, Risch A, Rennert G, Arnold S, Wu X, Melander O, Brunnström H, Le Marchand L, Liu G, Andrew A, Duell E, Kiemeney LA, Shen H, Haugen A, Johansson M, Grankvist K, Caporaso N, Woll P, Dawn Teare M, Scelo G, Hong YC, Yuan JM, Lazarus P, Schabath MB, Aldrich MC, Albanes D, Mak R, Barbie D, Brennan P, Hung RJ, Amos CI, Christiani DC, Lin X. Integration of multiomic annotation data to prioritize and characterize inflammation and immune-related risk variants in squamous cell lung cancer. Genet Epidemiol. 2021 02; 45(1):99-114.

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Wang X, Lim E, Liu CT, Sung YJ, Rao DC, Morrison AC, Boerwinkle E, Manning AK, Chen H. Efficient gene-environment interaction tests for large biobank-scale sequencing studies. Genet Epidemiol. 2020 11; 44(8):908-923.

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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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Yang T, Tang H, Risch HA, Olson SH, Peterson G, Bracci PM, Gallinger S, Hung RJ, Neale RE, Scelo G, Duell EJ, Kurtz RC, Khaw KT, Severi G, Sund M, Wareham N, Amos CI, Li D, Wei P. Incorporating multiple sets of eQTL weights into gene-by-environment interaction analysis identifies novel susceptibility loci for pancreatic cancer. Genet Epidemiol. 2020 11; 44(8):880-892.

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