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 | 2 | 1 | 3 | | 2003 | 4 | 3 | 7 | | 2004 | 3 | 2 | 5 | | 2005 | 5 | 1 | 6 | | 2006 | 5 | 4 | 9 | | 2007 | 8 | 5 | 13 | | 2008 | 7 | 1 | 8 | | 2009 | 2 | 3 | 5 | | 2010 | 4 | 11 | 15 | | 2011 | 3 | 2 | 5 | | 2012 | 7 | 5 | 12 | | 2013 | 4 | 5 | 9 | | 2014 | 8 | 12 | 20 | | 2015 | 10 | 8 | 18 | | 2016 | 5 | 7 | 12 | | 2017 | 5 | 10 | 15 | | 2018 | 2 | 15 | 17 | | 2019 | 6 | 9 | 15 | | 2020 | 5 | 15 | 20 | | 2021 | 3 | 9 | 12 | | 2022 | 7 | 5 | 12 | | 2023 | 3 | 2 | 5 | | 2024 | 3 | 4 | 7 | | 2025 | 4 | 9 | 13 | | 2026 | 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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Orchard P, Blackwell TW, Kachuri L, Castaldi PJ, Cho MH, Christenson SA, Durda P, Gabriel S, Hersh CP, Huntsman S, Hwang S, Joehanes R, Johnson M, Li X, Lin H, Liu CT, Liu Y, Mak ACY, Manichaikul AW, Paik DT, Saferali A, Smith JD, Taylor KD, Tracy RP, Wang J, Wang M, Weinstock JS, Weiss J, Wheeler HE, Zhou Y, Zöllner S, Wu JC, Mestroni L, Graw S, Taylor MRG, Ortega VE, Johnson WC, Gan W, Abecasis G, Nickerson DA, Gupta N, Ardlie K, Woodruff PG, Bowler RP, Meyers DA, Reiner A, Kooperberg C, Ziv E, Vasan RS, Larson MG, Cupples LA, Silverman EK, Rich SS, Heard-Costa N, Tang H, Rotter JI, Smith AV, Levy D, Aguet F, Scott LJ, Raffield LM, Parker SCJ, Abe N, Almasy L, Ament S, Anugu P, Auer P, Avramopoulos D, Balasubramanian A, Barr RG, Barwick L, Beaty T, Becker D, Becker L, Beitelshees A, Benos T, Bezerra M, Bis J, Brody J, Broeckel U, Broome J, Bunting K, Buth E, Carey V, Carty C, Casaburi R, Chaffin M, Chang C, Chang YC, Chavan S, Chen BJ, Chen WM, Choi SH, Chuang LM, Chung RH, Conomos M, Cornell E, Crandall C, Crapo J, Curtis J, Damcott C, David S, de Las Fuentes L, de Vries P, Deka R, DeMeo D, Devine S, Dinh H, Doddapaneni H, Duan Q, Duggirala R, Eaton C, Ekunwe L, El Boueiz A, Emery L, Farber C, Farek J, Franceschini N, Frazar C, Fu M, Fullerton SM, Fulton L, Gao S, Gao Y, Gass M, Geiger H, Ghosh A, Gignoux C, Glahn D, Gogarten S, Gong DW, Goring H, Grine D, Gu CC, Guan Y, Hall M, Han Y, Harris D, Heavner B, Herrington D, Hobbs B, Hong E, Hoth K, Hsiung CA, Hu J, Hung YJ, Huston H, Hwu CM, Jackson R, Jain D, Johnsen J, Johnston R, Jones K, Kessler M, Khan A, Khan Z, Kim W, Kimoff J, Kinney G, Kramer H, Lange C, Lange E, Laurie C, Laurie C, LeBoff M, Lee S, Lee WJ, Levine D, Lewis J, Li Y, Lin X, Liu S, Liu Y, Make B, Manning A, Manson J, Martin L, Marton M, Mathai S, May S, McArdle P, McDonald ML, McFarland S, McGoldrick D, McHugh C, Mei H, Meigs J, Menon V, Min N, Moll M, Momin Z, Montasser M, Mychaleckyj JC, Naik R, Naseri T, Natarajan P, Nelson SC, Neltner B, Nessner C, Nkechinyere O, O'Connell J, O'Connor T, Ochs-Balcom H, Okwuonu G, Pankow J, Parker C, Peloso G, Peralta JM, Perez M, Perry J, Peters U, Phillips LS, Pollin T, Becker JP, Boorgula MP, Psaty B, Qiao D, Rafaels N, Rajendran M, Rasmussen-Torvik L, Ratan A, Reed R, Regan E, Reupena MS, Robillard R, Roselli C, Ruczinski I, Runnels A, Russell P, Ryan K, Sabino EC, Salimi S, Salvi S, Salzberg S, Sandow K, Santibanez J, Schwander K, Sciurba F, Sériès F, Shetty A, Shetty A, Silver B, Skomro R, Smith T, Smoller S, Snively B, Stilp AM, Storm G, Streeten E, Su JL, Sung YJ, Sylvia J, Szpiro A, Taub M, Taylor S, Thornton TA, Threlkeld M, Tinker L, Tirschwell D, Tiwari H, Tong C, Tsai M, Vaidya D, Walker T, Wallace R, Walts A, Wang FF, Wang H, Watson K, Watt J, Weng LC, Wessel J, Williams K, Wilson C, Wilson J, Winterkorn L, Wong Q, Wu B, Xu H, Yanek L, Yang I, Zekavat SM, Zhao SX, Zhao W, Zhu X. Cross-cohort analysis of expression and splicing quantitative trait loci in TOPMed. Science. 2026 Jul 16; 393(6808):eadx2989.
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Small AM, Yang TY, Itoh S, Thériault S, Dufresne L, Kurosawa R, Komuro I, Matsuda K, Vy HMT, Farber-Eger EH, Shaffer LL, Boulier KM, Corey KM, Ramaker ME, Laporte F, Schott JJ, Le Scouarnec S, Singh SA, Sonawane AR, Smith HA, Rafaels N, Ghouse J, Raja AA, Ostrowski SR, Sørensen E, Mikkelsen C, Pedersen OB, Erikstrup C, Ullum H, Sveinbjornsson G, Gudbjartsson DF, Abner E, Lee J, Ganna A, Nowak-Göttl U, Finer S, Schumacher J, Maj C, Al-Kassou B, Nickenig G, Trenkwalder T, Dreßen M, Krane M, Nöthen MM, Moksnes MR, Brumpton BM, Knight S, Knowlton KU, Nadauld L, Debiec R, Musameh MD, Braund PS, Nelson CP, Czuba T, Melander O, Selvaraj MS, Koyama S, Bhukar R, Ruan Y, Ljungberg J, Damrauer SM, Levin MG, Franke A, Berger K, Ruff CT, Melloni GEM, Kamanu FK, Ito K, Do R, Loos RJF, Schunkert H, Wells QS, Shah SH, Le Tourneau T, Messika-Zeitoun D, Gignoux C, Bundgaard H, Larsson SC, Michaëlsson K, Holm H, Helgadottir A, Esko T, van Heel DA, Mathieu P, Samani NJ, Smith JG, Söderberg S, Rader DJ, Marston NA, Sabatine MS, Pasaniuc B, Cho K, Wilson PWF, O'Donnell CJ, Stefansson K, Bossé Y, Aikawa E, Engert JC, Peloso GM, Natarajan P, Thanassoulis G. Genomic and transcriptomic analyses of aortic stenosis enhance therapeutic target discovery and disease prediction. Nat Genet. 2026 Jan; 58(1):57-66.
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Keele GR, Dzieciatkowska M, Hay AM, Vincent M, O'Connor C, Stephenson D, Reisz JA, Nemkov T, Hansen KC, Page GP, Zimring JC, Churchill GA, D'Alessandro A. Genetic architecture of the murine red blood cell proteome reveals central role of hemoglobin beta cysteine 93 in maintaining redox balance. Cell Genom. 2026 Mar 11; 6(3):101069.
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Conery M, Pippin JA, Wagley Y, Trang K, Pahl MC, Villani DA, Favazzo LJ, Ackert-Bicknell CL, Zuscik MJ, Katsevich E, Wells AD, Zemel BS, Voight BF, Hankenson KD, Chesi A, Grant SFA. GWAS-informed data integration and non-coding CRISPRi screen illuminate genetic etiology of bone mineral density. Genome Biol. 2025 Oct 03; 26(1):331.
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Hu X, Webb-Robertson BM, Parikh HM, Nakayasu ES, Onengut-Gumuscu S, Chen WM, Frazer-Abel A, Metz TO, Rich SS, Rewers MJ, Manichaikul A. Genetic mapping of complement system proteins for islet autoimmunity in children with high risk of T1D. Commun Biol. 2025 Sep 26; 8(1):1366.
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Pushman C, Ragland GJ, Pfrender ME, Bentz BJ, Bracewell RR. QTL identification and characterization of the recombination landscape of the mountain pine beetle (Dendroctonus ponderosae). G3 (Bethesda). 2025 07 09; 15(7).
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White JR, McNellie JP, Keepers KG, Smart BC, Portlas ZM, Marcus ZE, Kane NC, Prasifka JR, Hulke BS. Understanding genetic architecture overcomes tradeoffs between seed quality and insect resistance. Theor Appl Genet. 2025 Jul 04; 138(7):173.
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VanWallendael A, Wijewardana C, Bonnette J, Vormwald L, Fritschi FB, Boe A, Chambers S, Mitchell RB, Rouquette FM, Wu Y, Fay PA, Jastrow JD, Lovell JT, Juenger TE, Lowry DB. Local adaptation of both plant and pathogen: an arms-race compromise in switchgrass rust. New Phytol. 2025 Nov; 248(3):1527-1541.
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Deng X, Di Germanio C, Marques de Menezes EG, Milani P, Stone M, Tanner H, Bakkour SC, Chafets DM, Reese SE, Roubinian NH, Kleinman S, Kanias T, Busch MP, Earley EJ, Page GP, Nemkov T, D'Alessandro A, Norris PJ. Donor genetics and storage conditions influence mitochondrial DNA and extracellular vesicle levels in RBC units. JCI Insight. 2025 Jul 22; 10(14).
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Barstow AC, McNellie JP, Smart BC, Keepers KG, Prasifka JR, Kane NC, Hulke BS. Variant filters using segregation information improve mapping of nectar-production genes in sunflower (Helianthus annuus L.). Plant Genome. 2025 Jun; 18(2):e70042.
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