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Statistical and computational genetics

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. Accurate genetic maps are the cornerstones of genetic discovery, but their construction can be hampered by missing parental genotype information. Inference of parental haplotypes and correction of phase errors...

    Authors: Zhiqiu Hu, Jeffrey D Ehlers, Philip A Roberts, Timothy J Close, Mitchell R Lucas, Steve Wanamaker and Shizhong Xu

    Citation: BMC Genetics 2012 13:9

    Content type: Software

    Published on:

  2. The advent of high throughput sequencing technology has enabled the 1000 Genomes Project Pilot 3 to generate complete sequence data for more than 906 genes and 8,140 exons representing 697 subjects. The 1000 G...

    Authors: Xinyi Cindy Zhang, Bo Zhang, Shuying Sue Li, Xin Huang, John A Hansen and Lue Ping Zhao

    Citation: BMC Genetics 2012 13:6

    Content type: Research article

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  3. Hundreds of new loci have been discovered by genome-wide association studies of human traits. These studies mostly focused on associations between single locus and a trait. Interactions between genes and betwe...

    Authors: Maksim V Struchalin, Najaf Amin, Paul HC Eilers, Cornelia M van Duijn and Yurii S Aulchenko

    Citation: BMC Genetics 2012 13:4

    Content type: Methodology article

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  4. Genome-wide association studies (GWAS) aim to identify causal variants and genes for complex disease by independently testing a large number of SNP markers for disease association. Although genes have been imp...

    Authors: Sara Ballouz, Jason Y Liu, Martin Oti, Bruno Gaeta, Diane Fatkin, Melanie Bahlo and Merridee A Wouters

    Citation: BMC Genetics 2011 12:98

    Content type: Methodology article

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  5. In the study of associations between genomic data and complex phenotypes there may be relationships that are not amenable to parametric statistical modeling. Such associations have been investigated mainly usi...

    Authors: Daniel Gianola, Hayrettin Okut, Kent A Weigel and Guilherme JM Rosa

    Citation: BMC Genetics 2011 12:87

    Content type: Methodology article

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  6. In genetic association study, especially in GWAS, gene- or region-based methods have been more popular to detect the association between multiple SNPs and diseases (or traits). Kernel principal component analy...

    Authors: Qingsong Gao, Yungang He, Zhongshang Yuan, Jinghua Zhao, Bingbing Zhang and Fuzhong Xue

    Citation: BMC Genetics 2011 12:75

    Content type: Research article

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  7. Molecular marker information is a common source to draw inferences about the relationship between genetic and phenotypic variation. Genetic effects are often modelled as additively acting marker allele effects...

    Authors: Dörte Wittenburg, Nina Melzer and Norbert Reinsch

    Citation: BMC Genetics 2011 12:74

    Content type: Methodology article

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  8. Association studies consist in identifying the genetic variants which are related to a specific disease through the use of statistical multiple hypothesis testing or segregation analysis in pedigrees. This typ...

    Authors: Stefano Cabras, Maria Eugenia Castellanos, Ginevra Biino, Ivana Persico, Alessandro Sassu, Laura Casula, Stefano del Giacco, Francesco Bertolino, Mario Pirastu and Nicola Pirastu

    Citation: BMC Genetics 2011 12:63

    Content type: Methodology article

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  9. The use of DNA methods for the identification and management of natural resources is gaining importance. In the future, it is likely that DNA registers will play an increasing role in this development. Microsa...

    Authors: Øystein A Haaland, Kevin A Glover, Bjørghild B Seliussen and Hans J Skaug

    Citation: BMC Genetics 2011 12:36

    Content type: Research article

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  10. Most quantitative traits are controlled by multiple quantitative trait loci (QTL). The contribution of each locus may be negligible but the collective contribution of all loci is usually significant. Genome se...

    Authors: Zhiqiu Hu, Yongguang Li, Xiaohui Song, Yingpeng Han, Xiaodong Cai, Shizhong Xu and Wenbin Li

    Citation: BMC Genetics 2011 12:15

    Content type: Research article

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2019 Journal Metrics

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