 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 |
|---|
| 2003 | 2 | 0 | 2 | | 2004 | 1 | 0 | 1 | | 2005 | 0 | 1 | 1 | | 2008 | 1 | 0 | 1 | | 2009 | 0 | 1 | 1 | | 2010 | 0 | 1 | 1 | | 2011 | 0 | 1 | 1 | | 2012 | 0 | 2 | 2 | | 2014 | 0 | 1 | 1 | | 2016 | 2 | 2 | 4 | | 2017 | 1 | 3 | 4 | | 2018 | 1 | 1 | 2 | | 2019 | 1 | 3 | 4 | | 2020 | 1 | 2 | 3 | | 2021 | 2 | 1 | 3 |
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Below are the most recent publications written about "Quantitative Trait Loci" by people in Profiles.
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Ng B, Casazza W, Kim NH, Wang C, Farhadi F, Tasaki S, Bennett DA, De Jager PL, Gaiteri C, Mostafavi S. Cascading epigenomic analysis for identifying disease genes from the regulatory landscape of GWAS variants. PLoS Genet. 2021 11; 17(11):e1009918.
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Robins C, Liu Y, Fan W, Duong DM, Meigs J, Harerimana NV, Gerasimov ES, Dammer EB, Cutler DJ, Beach TG, Reiman EM, De Jager PL, Bennett DA, Lah JJ, Wingo AP, Levey AI, Seyfried NT, Wingo TS. Genetic control of the human brain proteome. Am J Hum Genet. 2021 03 04; 108(3):400-410.
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Wingo AP, Liu Y, Gerasimov ES, Gockley J, Logsdon BA, Duong DM, Dammer EB, Robins C, Beach TG, Reiman EM, Epstein MP, De Jager PL, Lah JJ, Bennett DA, Seyfried NT, Levey AI, Wingo TS. Integrating human brain proteomes with genome-wide association data implicates new proteins in Alzheimer's disease pathogenesis. Nat Genet. 2021 02; 53(2):143-146.
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Luningham JM, Chen J, Tang S, De Jager PL, Bennett DA, Buchman AS, Yang J. Bayesian Genome-wide TWAS Method to Leverage both cis- and trans-eQTL Information through Summary Statistics. Am J Hum Genet. 2020 10 01; 107(4):714-726.
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Patrick E, Taga M, Ergun A, Ng B, Casazza W, Cimpean M, Yung C, Schneider JA, Bennett DA, Gaiteri C, De Jager PL, Bradshaw EM, Mostafavi S. Deconvolving the contributions of cell-type heterogeneity on cortical gene expression. PLoS Comput Biol. 2020 08; 16(8):e1008120.
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Yang HS, White CC, Klein HU, Yu L, Gaiteri C, Ma Y, Felsky D, Mostafavi S, Petyuk VA, Sperling RA, Ertekin-Taner N, Schneider JA, Bennett DA, De Jager PL. Genetics of Gene Expression in the Aging Human Brain Reveal TDP-43 Proteinopathy Pathophysiology. Neuron. 2020 08 05; 107(3):496-508.e6.
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Hu Y, Tan A, Yu L, Hou C, Kuang H, Wu Q, Su J, Zhou Q, Zhu Y, Zhang C, Wei W, Li L, Li W, Huang Y, Huang H, Xie X, Lu T, Zhang H, Yang X, Gao Y, Li T, Jiang Y, Mo Z. A phenomics-based approach for the detection and interpretation of shared genetic influences on 29 biochemical indices in southern Chinese men. BMC Genomics. 2019 Dec 16; 20(1):983.
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Ng B, Casazza W, Patrick E, Tasaki S, Novakovsky G, Felsky D, Ma Y, Bennett DA, Gaiteri C, De Jager PL, Mostafavi S. Using Transcriptomic Hidden Variables to Infer Context-Specific Genotype Effects in the Brain. Am J Hum Genet. 2019 09 05; 105(3):562-572.
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Nagpal S, Meng X, Epstein MP, Tsoi LC, Patrick M, Gibson G, De Jager PL, Bennett DA, Wingo AP, Wingo TS, Yang J. TIGAR: An Improved Bayesian Tool for Transcriptomic Data Imputation Enhances Gene Mapping of Complex Traits. Am J Hum Genet. 2019 08 01; 105(2):258-266.
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Ma Y, Jun GR, Chung J, Zhang X, Kunkle BW, Naj AC, White CC, Bennett DA, De Jager PL. CpG-related SNPs in the MS4A region have a dose-dependent effect on risk of late-onset Alzheimer disease. Aging Cell. 2019 08; 18(4):e12964.
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