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BMC Genetics

Statistical and computational genetics

Section edited by Rongling Wu

This section incorporates all aspects of statistical and computational genetics, including but not limited to: methods and applications for the analysis of all types of genetic data.

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  1. Content type: Methodology article

    In genetic analysis of agronomic traits, quantitative trait loci (QTLs) that control the same phenotype are often closely linked. Furthermore, many QTLs are localized in specific genomic regions (QTL clusters)...

    Authors: Eiji Yamamoto, Hiroyoshi Iwata, Takanari Tanabata, Ritsuko Mizobuchi, Jun-ichi Yonemaru, Toshio Yamamoto and Masahiro Yano

    Citation: BMC Genetics 2014 15:50

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  2. Content type: Research article

    Association mapping studies offer great promise to identify polymorphisms associated with phenotypes and for understanding the genetic basis of quantitative trait variation. To date, almost all association map...

    Authors: Abdoul-Aziz Saïdou, Anne-Céline Thuillet, Marie Couderc, Cédric Mariac and Yves Vigouroux

    Citation: BMC Genetics 2014 15:3

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  3. Content type: Software

    Risk prediction models capitalizing on genetic and environmental information hold great promise for individualized disease prediction and prevention. Nevertheless, linking the genetic and environmental risk pr...

    Authors: Chengyin Ye and Qing Lu

    Citation: BMC Genetics 2013 14:122

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  4. Content type: Methodology article

    MicroRNAs (miRNAs) regulate many biological processes by post-translational gene silencing. Analysis of miRNA expression profiles is a reliable method for investigating particular biological processes due to t...

    Authors: Bo Sun, Fei Yang, Fei-Hu Hu, Ning-Ping Huang and Zhong-Dang Xiao

    Citation: BMC Genetics 2013 14:120

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  5. Content type: Software

    Identification of true to breed type animal for conservation purpose is imperative. Breed dilution is one of the major problems in sustainability except cases of commercial crossbreeding under controlled condi...

    Authors: Mir Asif Iquebal, Sarika, Sandeep Kumar Dhanda, Vasu Arora, Sat Pal Dixit, Gajendra PS Raghava, Anil Rai and Dinesh Kumar

    Citation: BMC Genetics 2013 14:118

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  6. Content type: Methodology article

    The advent of genome-wide association studies has led to many novel disease-SNP associations, opening the door to focused study on their biological underpinnings. Because of the importance of analyzing these a...

    Authors: David M Swanson, Deborah Blacker, Taofik AlChawa, Kerstin U Ludwig, Elisabeth Mangold and Christoph Lange

    Citation: BMC Genetics 2013 14:108

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  7. Content type: Research article

    On thinking quantitatively of complex diseases, there are at least three statistical strategies for analyzing the gene-gene interaction: SNP by SNP interaction on single trait, gene-gene (each can involve mult...

    Authors: Fangyu Li, Jinghua Zhao, Zhongshang Yuan, Xiaoshuai Zhang, Jiadong Ji and Fuzhong Xue

    Citation: BMC Genetics 2013 14:89

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  8. Content type: Methodology article

    Pooling is a cost effective way to collect data for genetic association studies, particularly for rare genetic variants. It is of interest to estimate the haplotype frequencies, which contain more information ...

    Authors: Anthony YC Kuk, Xiang Li and Jinfeng Xu

    Citation: BMC Genetics 2013 14:82

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  9. Content type: Methodology article

    In cross breeding, it is important to choose a good parental combination that has high probability of generating offspring with desired characteristics. This study examines a method for predicting the segregat...

    Authors: Hiroyoshi Iwata, Takeshi Hayashi, Shingo Terakami, Norio Takada, Toshihiro Saito and Toshiya Yamamoto

    Citation: BMC Genetics 2013 14:81

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  10. Content type: Methodology article

    Triad families are routinely used to test association between genetic variants and complex diseases. Triad studies are important and popular since they are robust in terms of being less prone to false positive...

    Authors: Ruzong Fan, Annie Lee, Zhaohui Lu, Aiyi Liu, James F Troendle and James L Mills

    Citation: BMC Genetics 2013 14:78

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  11. Content type: Methodology article

    We address the task of extracting accurate haplotypes from genotype data of individuals of large F1 populations for mapping studies. While methods for inferring parental haplotype assignments on large F1 populati...

    Authors: Filippo Utro, Niina Haiminen, Donald Livingstone III, Omar E Cornejo, Stefan Royaert, Raymond J Schnell, Juan Carlos Motamayor, David N Kuhn and Parida Laxmi

    Citation: BMC Genetics 2013 14:48

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  12. Content type: Research article

    F2 resource populations have been used extensively to map QTL segregating between pig breeds. A limitation associated with the use of these resource populations for fine mapping of QTL is the reduced number of f....

    Authors: Jose L Gualdrón Duarte, Ronald O Bates, Catherine W Ernst, Nancy E Raney, Rodolfo JC Cantet and Juan P Steibel

    Citation: BMC Genetics 2013 14:38

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