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BMC Genetics

Complex traits and quantitative genetics

Section edited by Jim Reecy

This section incorporates all aspects of complex trait and quantitative genetics including but not limited to: mapping and association studies, the genetic basis of disease, genetics aspects of breeding and linkage analysis.

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  1. Content type: Research article

    Genetic susceptibility plays an important role in the risk of developing pain in individuals with cancer. As a complex trait, multiple genes underlie this susceptibility. We used gene network analyses to ident...

    Authors: Cielito C. Reyes-Gibby, Jian Wang, Mary Rose T. Silvas, Robert Yu, Sai-Ching J. Yeung and Sanjay Shete

    Citation: BMC Genetics 2016 17:40

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  2. Content type: Research article

    The existence of moderate to high levels of linkage disequilibrium (LD) between genetic markers and quantitative trait loci (QTL) affecting traits of interest is fundamental for the success of genome-wide asso...

    Authors: Patrícia Biegelmeyer, Claudia C. Gulias-Gomes, Alexandre R. Caetano, Juan P. Steibel and Fernando F. Cardoso

    Citation: BMC Genetics 2016 17:32

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  3. Content type: Research article

    Genetic factors play an important role in hearing loss, contributing to approximately 60 % of cases of congenital hearing loss. Autosomal dominant deafness accounts for approximately 20 % of cases of hereditar...

    Authors: Yongyi Yuan, Xue Gao, Bangqing Huang, Jingqiao Lu, Guojian Wang, Xi Lin, Yan Qu and Pu Dai

    Citation: BMC Genetics 2016 17:33

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  4. Content type: Research article

    Seed dormancy is an adaptive trait employed by flowering plants to avoid harsh environmental conditions for the continuity of their next generations. In cereal crops, moderate seed dormancy could help prevent ...

    Authors: Risper Auma Magwa, Hu Zhao and Yongzhong Xing

    Citation: BMC Genetics 2016 17:28

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  5. Content type: Research article

    Groupers (Epinephelus spp.) have been widely cultivated in China and South-East Asian countries. As a novel hybrid offspring crossed between E. fuscogutatus♀ and E. lanceolatus♂, Hulong grouper exhibits significa...

    Authors: Ying Sun, Chuan-Yu Guo, Deng-Dong Wang, Xiao Feng Li, Ling Xiao, Xinhui Zhang, Xinxin You, Qiong Shi, Guo-Jun Hu, Chao Fang, Hao-Ran Lin and Yong Zhang

    Citation: BMC Genetics 2016 17:24

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  6. Content type: Research article

    The prevalence of Type 2 Diabetes (T2D) mellitus in the past decades, has reached epidemic proportions. Several lines of evidence support the role of genetic variation in the pathogenesis of T2D and insulin re...

    Authors: Hanifa J. Abu-Toamih Atamni, Richard Mott, Morris Soller and Fuad A. Iraqi

    Citation: BMC Genetics 2016 17:10

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  7. Content type: Research article

    In animal breeding, genetic variance for complex traits is often estimated using linear mixed models that incorporate information from single nucleotide polymorphism (SNP) markers using a realized genomic rela...

    Authors: Pernille Sarup, Just Jensen, Tage Ostersen, Mark Henryon and Peter Sørensen

    Citation: BMC Genetics 2016 17:11

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  8. Content type: Research article

    The use of information across populations is an attractive approach to increase the accuracy of genomic prediction for numerically small populations. However, accuracies of across population genomic prediction...

    Authors: S. van den Berg, M. P. L. Calus, T. H. E. Meuwissen and Y. C. J. Wientjes

    Citation: BMC Genetics 2015 16:146

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  9. Content type: Research article

    Premature flowering or bolting is an undesirable characteristic that causes severe sugar yield losses and interferes with harvesting. Vernalization is a prerequisite for the floral induction, achieved by expos...

    Authors: Chiara Broccanello, Piergiorgio Stevanato, Filippo Biscarini, Dario Cantu and Massimo Saccomani

    Citation: BMC Genetics 2015 16:142

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  10. Content type: Research article

    Pulmonary function decline is a major contributor to morbidity and mortality among smokers. Post bronchodilator FEV1 and FEV1/FVC ratio are considered the standard assessment of airflow obstruction. We performed ...

    Authors: Sharon M. Lutz, Michael H. Cho, Kendra Young, Craig P. Hersh, Peter J. Castaldi, Merry-Lynn McDonald, Elizabeth Regan, Manuel Mattheisen, Dawn L. DeMeo, Margaret Parker, Marilyn Foreman, Barry J. Make, Robert L. Jensen, Richard Casaburi, David A. Lomas, Surya P. Bhatt…

    Citation: BMC Genetics 2015 16:138

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  11. Content type: Research article

    Located in the Pacific Ocean between Australia and New Zealand, the unique population isolate of Norfolk Island has been shown to exhibit increased prevalence of metabolic disorders (type-2 diabetes, cardiovas...

    Authors: M. C. Benton, R. A. Lea, D. Macartney-Coxson, C. Bellis, M. A. Carless, J. E. Curran, M. Hanna, D. Eccles, G. K. Chambers, J. Blangero and L. R. Griffiths

    Citation: BMC Genetics 2015 16:136

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  12. Content type: Research article

    Identification of genetic variants that are associated with fatty acid composition in beef will enhance our understanding of host genetic influence on the trait and also allow for more effective improvement of...

    Authors: Liuhong Chen, Chinyere Ekine-Dzivenu, Michael Vinsky, John Basarab, Jennifer Aalhus, Mike E. R. Dugan, Carolyn Fitzsimmons, Paul Stothard and Changxi Li

    Citation: BMC Genetics 2015 16:135

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  13. Content type: Research article

    Genetic variance that is not captured by single nucleotide polymorphisms (SNPs) is due to imperfect linkage disequilibrium (LD) between SNPs and quantitative trait loci (QTLs), and the extent of LD between SNP...

    Authors: Yoshinobu Uemoto, Shinji Sasaki, Takatoshi Kojima, Yoshikazu Sugimoto and Toshio Watanabe

    Citation: BMC Genetics 2015 16:134

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  14. Content type: Research article

    Individuals with dyslipidemia often develop type 2 diabetes, and diabetic patients often have dyslipidemia. It remains to be determined whether there are genetic connections between the 2 disorders.

    Authors: Qian Wang, Andrew T. Grainger, Ani Manichaikul, Emily Farber, Suna Onengut-Gumuscu and Weibin Shi

    Citation: BMC Genetics 2015 16:133

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  15. Content type: Research article

    The genetic structure of human populations is the outcome of the combined action of different processes such as demographic dynamics and natural selection. Several efforts toward the characterization of popula...

    Authors: Silvia Parolo, Antonella Lisa, Davide Gentilini, Anna Maria Di Blasio, Simona Barlera, Enrico B. Nicolis, Giorgio B. Boncoraglio, Eugenio A. Parati and Silvia Bione

    Citation: BMC Genetics 2015 16:132

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  16. Content type: Research article

    Adolescence is a sensitive period for weight gain and risky health behaviors, such as smoking. Genome-wide association studies (GWAS) have identified loci contributing to adult body mass index (BMI). Evidence ...

    Authors: Kristin L. Young, Misa Graff, Kari E. North, Andrea S. Richardson, Karen L. Mohlke, Leslie A. Lange, Ethan M. Lange, Kathleen M. Harris and Penny Gordon-Larsen

    Citation: BMC Genetics 2015 16:131

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  17. Content type: Research article

    Formation of the vertebral column is a critical developmental stage in mammals. The strict control of this process has resulted in little variation in number of vertebrae across mammalian species and no variat...

    Authors: Gary A. Rohrer, Dan J. Nonneman, Ralph T. Wiedmann and James F. Schneider

    Citation: BMC Genetics 2015 16:129

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  18. Content type: Research article

    In meta-analyses of genetic association studies, ancestry and ethnicity are not accurately investigated. Ethnicity is usually classified using conventional race/ethnic categories or continental groupings even ...

    Authors: Tania Vásquez-Loarte, Milana Trubnykova and Heinner Guio

    Citation: BMC Genetics 2015 16:128

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  19. Content type: Research article

    Inducing mutations are considered to be an effective way to create novel genetic variations and hence novel agronomical traits in wheat. This study was conducted to assess the genetic differences between Shi41...

    Authors: Xuejiao Cheng, Lingling Chai, Zhaoyan Chen, Lu Xu, Huijie Zhai, Aiju Zhao, Huiru Peng, Yingyin Yao, Mingshan You, Qixin Sun and Zhongfu Ni

    Citation: BMC Genetics 2015 16:127

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