Quantitative Trait Loci
"Quantitative Trait Loci" 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.
Genetic loci associated with a QUANTITATIVE TRAIT.
Descriptor ID |
D040641
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MeSH Number(s) |
G05.360.340.024.380.937
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Concept/Terms |
Quantitative Trait Loci- Quantitative Trait Loci
- Loci, Quantitative Trait
- Locus, Quantitative Trait
- Quantitative Trait Locus
- Trait Loci, Quantitative
- Trait Locus, Quantitative
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Below are MeSH descriptors whose meaning is more general than "Quantitative Trait Loci".
Below are MeSH descriptors whose meaning is more specific than "Quantitative Trait Loci".
This graph shows the total number of publications written about "Quantitative Trait Loci" by people in this website by year, and whether "Quantitative Trait Loci" 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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2002 | 1 | 1 | 2 | 2003 | 3 | 3 | 6 | 2004 | 3 | 2 | 5 | 2005 | 5 | 2 | 7 | 2006 | 5 | 4 | 9 | 2007 | 9 | 6 | 15 | 2008 | 7 | 1 | 8 | 2009 | 1 | 3 | 4 | 2010 | 4 | 11 | 15 | 2011 | 2 | 2 | 4 | 2012 | 4 | 6 | 10 | 2013 | 2 | 5 | 7 | 2014 | 4 | 10 | 14 | 2015 | 8 | 7 | 15 | 2016 | 4 | 8 | 12 | 2017 | 4 | 10 | 14 | 2018 | 2 | 13 | 15 | 2019 | 6 | 8 | 14 | 2020 | 4 | 13 | 17 | 2021 | 4 | 9 | 13 | 2022 | 8 | 4 | 12 | 2023 | 2 | 2 | 4 | 2024 | 1 | 0 | 1 |
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Below are the most recent publications written about "Quantitative Trait Loci" by people in Profiles.
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Tegtmeyer M, Arora J, Asgari S, Cimini BA, Nadig A, Peirent E, Liyanage D, Way GP, Weisbart E, Nathan A, Amariuta T, Eggan K, Haghighi M, McCarroll SA, O'Connor L, Carpenter AE, Singh S, Nehme R, Raychaudhuri S. High-dimensional phenotyping to define the genetic basis of cellular morphology. Nat Commun. 2024 Jan 06; 15(1):347.
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Kang JB, Shen AZ, Gurajala S, Nathan A, Rumker L, Aguiar VRC, Valencia C, Lagattuta KA, Zhang F, Jonsson AH, Yazar S, Alquicira-Hernandez J, Khalili H, Ananthakrishnan AN, Jagadeesh K, Dey K, Daly MJ, Xavier RJ, Donlin LT, Anolik JH, Powell JE, Rao DA, Brenner MB, Gutierrez-Arcelus M, Luo Y, Sakaue S, Raychaudhuri S. Mapping the dynamic genetic regulatory architecture of HLA genes at single-cell resolution. Nat Genet. 2023 Dec; 55(12):2255-2268.
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Anwar MY, Graff M, Highland HM, Smit R, Wang Z, Buchanan VL, Young KL, Kenny EE, Fernandez-Rhodes L, Liu S, Assimes T, Garcia DO, Daeeun K, Gignoux CR, Justice AE, Haiman CA, Buyske S, Peters U, Loos RJF, Kooperberg C, North KE. Assessing efficiency of fine-mapping obesity-associated variants through leveraging ancestry architecture and functional annotation using PAGE and UKBB cohorts. Hum Genet. 2023 Oct; 142(10):1477-1489.
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Petrill SA, Klamer BG, Buyske S, Willcutt EG, Gruen JR, Francis DJ, Flax JF, Brzustowicz LM, Bartlett CW. The Rosetta Phenotype Harmonization Method Facilitates Finding a Relationship Quantitative Trait Locus for a Complex Cognitive Trait. Genes (Basel). 2023 08 31; 14(9).
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Araujo DS, Nguyen C, Hu X, Mikhaylova AV, Gignoux C, Ardlie K, Taylor KD, Durda P, Liu Y, Papanicolaou G, Cho MH, Rich SS, Rotter JI, Im HK, Manichaikul A, Wheeler HE. Multivariate adaptive shrinkage improves cross-population transcriptome prediction and association studies in underrepresented populations. HGG Adv. 2023 Oct 12; 4(4):100216.
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Mize TJ, Evans LM. Examination of a novel expression-based gene-SNP annotation strategy to identify tissue-specific contributions to heritability in multiple traits. Eur J Hum Genet. 2024 Mar; 32(3):263-269.
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Young KL, Fisher V, Deng X, Brody JA, Graff M, Lim E, Lin BM, Xu H, Amin N, An P, Aslibekyan S, Fohner AE, Hidalgo B, Lenzini P, Kraaij R, Medina-Gomez C, Prokic I, Rivadeneira F, Sitlani C, Tao R, van Rooij J, Zhang D, Broome JG, Buth EJ, Heavner BD, Jain D, Smith AV, Barnes K, Boorgula MP, Chavan S, Darbar D, De Andrade M, Guo X, Haessler J, Irvin MR, Kalyani RR, Kardia SLR, Kooperberg C, Kim W, Mathias RA, McDonald ML, Mitchell BD, Peyser PA, Regan EA, Redline S, Reiner AP, Rich SS, Rotter JI, Smith JA, Weiss S, Wiggins KL, Yanek LR, Arnett D, Heard-Costa NL, Leal S, Lin D, McKnight B, Province M, van Duijn CM, North KE, Cupples LA, Liu CT. Whole-exome sequence analysis of anthropometric traits illustrates challenges in identifying effects of rare genetic variants. HGG Adv. 2023 01 12; 4(1):100163.
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Al-Barghouthi BM, Rosenow WT, Du KP, Heo J, Maynard R, Mesner L, Calabrese G, Nakasone A, Senwar B, Gerstenfeld L, Larner J, Ferguson V, Ackert-Bicknell C, Morgan E, Brautigan D, Farber CR. Transcriptome-wide association study and eQTL colocalization identify potentially causal genes responsible for human bone mineral density GWAS associations. Elife. 2022 11 23; 11.
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Borie R, Cardwell J, Konigsberg IR, Moore CM, Zhang W, Sasse SK, Gally F, Dobrinskikh E, Walts A, Powers J, Brancato J, Rojas M, Wolters PJ, Brown KK, Blackwell TS, Nakanishi T, Richards JB, Gerber AN, Fingerlin TE, Sachs N, Pulit SL, Zappala Z, Schwartz DA, Yang IV. Colocalization of Gene Expression and DNA Methylation with Genetic Risk Variants Supports Functional Roles of MUC5B and DSP in Idiopathic Pulmonary Fibrosis. Am J Respir Crit Care Med. 2022 11 15; 206(10):1259-1270.
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Moore A, Busch MP, Dziewulska K, Francis RO, Hod EA, Zimring JC, D'Alessandro A, Page GP. Genome-wide metabolite quantitative trait loci analysis (mQTL) in red blood cells from volunteer blood donors. J Biol Chem. 2022 12; 298(12):102706.
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