Practical barriers to identifying complex trait loci.

2003 ◽  
pp. 55-69 ◽  
Author(s):  
Lon R. Cardon
Keyword(s):  
Complex Trait ◽  
Trait Loci

scholarly journals Sex-specific differences in effect size estimates at established complex trait loci

2012 ◽  
Vol 41 (5) ◽  
pp. 1376-1382 ◽  
Author(s):  
Gisela Orozco ◽  
John PA Ioannidis ◽  
Andrew Morris ◽  
Eleftheria Zeggini ◽  
Keyword(s):  
Effect Size ◽  
Complex Trait ◽  
Trait Loci ◽  
Size Estimates

scholarly journals Disentangling the Effects of Colocalizing Genomic Annotations to Functionally Prioritize Non-coding Variants within Complex-Trait Loci

2015 ◽  
Vol 97 (1) ◽  
pp. 139-152 ◽  
Author(s):  
Gosia Trynka ◽  
Harm-Jan Westra ◽  
Kamil Slowikowski ◽  
Xinli Hu ◽  
Han Xu ◽  
...  
Keyword(s):  
Complex Trait ◽  
Trait Loci ◽  
Coding Variants

scholarly journals Self-Confirmation and Ascertainment of the Candidate Genomic Regions of Complex Trait Loci – A None-Experimental Solution

PLoS ONE ◽  
2016 ◽  
Vol 11 (5) ◽  
pp. e0153676
Author(s):  
Lishi Wang ◽  
Yan Jiao ◽  
Yongjun Wang ◽  
Mengchen Zhang ◽  
Weikuan Gu
Keyword(s):  
Complex Trait ◽  
Experimental Solution ◽  
Trait Loci ◽  
Genomic Regions

scholarly journals Unraveling the Complex Trait of Crop Yield With Quantitative Trait Loci Mapping in Brassica napus

Genetics ◽  
2009 ◽  
Vol 182 (3) ◽  
pp. 851-861 ◽  
Author(s):  
Jiaqin Shi ◽  
Ruiyuan Li ◽  
Dan Qiu ◽  
Congcong Jiang ◽  
Yan Long ◽  
...  
Keyword(s):  
Brassica Napus ◽  
Quantitative Trait Loci ◽  
Crop Yield ◽  
Quantitative Trait ◽  
Complex Trait ◽  
Quantitative Trait Loci Mapping ◽  
Trait Loci

scholarly journals Advances in the Identification of Quantitative Trait Loci and Genes Involved in Seed Vigor in Rice

2021 ◽  
Vol 12 ◽  
Author(s):  
Jia Zhao ◽  
Yongqi He ◽  
Shuilai Huang ◽  
Zhoufei Wang
Keyword(s):  
Quantitative Trait Loci ◽  
Seed Development ◽  
Quantitative Trait ◽  
Seedling Emergence ◽  
Seed Storage ◽  
Complex Trait ◽  
Regulatory Genes ◽  
Seed Vigor ◽  
Rice Seed ◽  
Trait Loci

Seed vigor is a complex trait, including the seed germination, seedling emergence, and growth, as well as seed storability and stress tolerance, which is important for direct seeding in rice. Seed vigor is established during seed development, and its level is decreased during seed storage. Seed vigor is influenced by genetic and environmental factors during seed development, storage, and germination stages. A lot of factors, such as nutrient reserves, seed dying, seed dormancy, seed deterioration, stress conditions, and seed treatments, will influence seed vigor during seed development to germination stages. This review highlights the current advances on the identification of quantitative trait loci (QTLs) and regulatory genes involved in seed vigor at seed development, storage, and germination stages in rice. These identified QTLs and regulatory genes will contribute to the improvement of seed vigor by breeding, biotechnological, and treatment approaches.

scholarly journals Quantitative Trait Loci (QTL)-Guided Metabolic Engineering of a Complex Trait

2016 ◽  
Vol 6 (3) ◽  
pp. 566-581 ◽  
Author(s):  
Matthew J. Maurer ◽  
Lawrence Sutardja ◽  
Dominic Pinel ◽  
Stefan Bauer ◽  
Amanda L. Muehlbauer ◽  
...  
Keyword(s):  
Metabolic Engineering ◽  
Quantitative Trait Loci ◽  
Quantitative Trait ◽  
Complex Trait ◽  
Trait Loci

scholarly journals Comparison and Confirmation of Quantitative Trait Loci Conferring Partial Resistance to Rice Sheath Blight on Chromosome 9

Plant Disease ◽  
2014 ◽  
Vol 98 (7) ◽  
pp. 957-964 ◽  
Author(s):  
S. M. Zuo ◽  
Y. J. Zhu ◽  
Y. J. Yin ◽  
H. Wang ◽  
Y. F. Zhang ◽  
...  
Keyword(s):  
Quantitative Trait Loci ◽  
Resistance Genes ◽  
Quantitative Trait ◽  
Complex Trait ◽  
Susceptible Variety ◽  
Sheath Blight ◽  
Chromosome 9 ◽  
Substitution Lines ◽  
Trait Loci ◽  
Segment Substitution

Sheath blight (SB), caused by Rhizoctonia solani, is one of the worst rice (Orzya sativa) diseases worldwide. Resistance to the SB disease in rice is a complex trait controlled by quantitative trait loci (QTLs). Through map integration, we found several previously identified SB resistance (SBR) QTLs reported in inconsistent regions on the long arm of chromosome 9. Five of them were detected on ‘Jasmine 85’ (J85), ‘Minghui 63’ (MH63), and ‘Lemont’ (LMNT) rice and were designated qSB-9J85-1, qSB-9J85-2, qSB-9MH63-1, qSB-9MH63-2, and qSB-9LMNT, respectively, in the present study. To further verify and physically map the five potential SBR QTLs, we introduced these SBR QTLs into a common susceptible variety (LMNT) and developed a few chromosomal segment substitution lines through marker-assisted selection. After artificial inoculation with the SB fungus, we were able to validate qSB-9J85-2 but not the other four SBR QTLs; whereas, on MH63, an SBR QTL designated qSB-9MH63-3 was confirmed in the region defined by markers Y83 and Y91.8 that included qSB-9J85-2, covering approximately 1,235 kb. Both qSB-9J85-2 and qSB-9MH63-3 appeared to be dominant resistance genes and contributed to similar levels to SB resistance, reducing SB disease severity by approximately 1.0 on a 0-to-9 SB disease rating system. After comparing with another confirmed SBR QTL (qSB-9TQ) from ‘Teqing’ rice (TQ), we conclude that qSB-9J85-2, qSB-9MH63-3, and qSB-9TQ are probably controlled by the same allelic resistance genes. These results will accelerate the utilization of this major SBR QTL and its map-based cloning.

scholarly journals A comparison of some allele-sharing based linkage analysis methods for detecting complex trait loci

1999 ◽  
Vol 17 (S1) ◽  
pp. S639-S642
Author(s):  
Ying Liu ◽  
Lucia Mirea ◽  
Dushanthi Pinnaduwage ◽  
Shafagh Fallah ◽  
David Tritchler
Keyword(s):  
Linkage Analysis ◽  
Complex Trait ◽  
Allele Sharing ◽  
Analysis Methods ◽  
Trait Loci

scholarly journals A Haplotype Block Model for Fine Mapping of Quantitative Trait Loci Regulating HIV-1 Pathogenesis

2003 ◽  
Vol 5 (3-4) ◽  
pp. 227-234 ◽  
Author(s):  
Yun Zhu ◽  
Wei Hou ◽  
Rongling Wu
Keyword(s):  
Quantitative Trait Loci ◽  
Quantitative Trait ◽  
Positional Cloning ◽  
Haplotype Block ◽  
Environmental Changes ◽  
Dynamic Change ◽  
Complex Trait ◽  
Trait Loci ◽  
Hiv 1

The dynamic change of human immunodeficiency virus type-1 (HIV-1) particles that cause AIDS displays considerable variation from patients to patients. It is likely that such variation in HIV-1 pathogenesis is correlated with the genetic architecture of hosts. Traditional genetic analysis of HIV-1 infection is based on various biochemical approaches, but it has been little successful because HIV-1 dynamics, as a complex trait, is under polygenic control and sensitive to environmental changes. Here, we present a novel model for integrating mathematical functions for HIV-1 dynamics that have been well constructed into a multivariate mixture model for genetic mapping. This integrative mapping model on the foundation of linkage disequilibrium (LD)-based haplotype block analysis provides unique power to precisely detect human quantitative trait loci (QTL) determining HIV-1 dynamics and facilitates positional cloning of target QTL. The model allows for a number of hypothesis tests for the effects of the dynamic QTL on the virion clearance rate, the infected cell life-span and the average viral generation timein vivo, all of which provide theoretical principles to guide the development of efficient gene therapy strategies.

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