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  1. Genomic breeding value estimation is the key step in genomic selection. Among many approaches, BLUP methods and Bayesian methods are most commonly used for estimating genomic breeding values. Here, we applied ...

    Authors: Chong-Long Wang, Pei-Pei Ma, Zhe Zhang, Xiang-Dong Ding, Jian-Feng Liu, Wei-Xuan Fu, Zi-Qing Weng and Qin Zhang
    Citation: BMC Proceedings 2012 6(Suppl 2):S13
    Content type: Proceedings Published on:

    This article is part of a Supplement: Volume 6 Supplement 2

  2. The aim of this study was to estimate haplotype effects and then to predict breeding values using linear models. The haplotype based analysis enables avoidance of loosing information due to linkage disequilibr...

    Authors: Anna Mucha and Heliodor Wierzbicki
    Citation: BMC Proceedings 2012 6(Suppl 2):S11
    Content type: Proceedings Published on:

    This article is part of a Supplement: Volume 6 Supplement 2

  3. The goal of this study was to apply Bayesian and GBLUP methods to predict genomic breeding values (GEBV), map QTL positions and explore the genetic architecture of the trait simulated for the 15th QTL-MAS worksho...

    Authors: Jian Zeng, Marcin Pszczola, Anna Wolc, Tomasz Strabel, Rohan L Fernando, Dorian J Garrick and Jack CM Dekkers
    Citation: BMC Proceedings 2012 6(Suppl 2):S7
    Content type: Proceedings Published on:

    This article is part of a Supplement: Volume 6 Supplement 2

  4. Five main methods, commonly applied in genomic selection, were used to estimate the GEBV on the 15th QTLMAS workshop dataset: GBLUP, LASSO, Bayes A and two Bayes B type of methods (BBn and BBt). GBLUP is a mixed ...

    Authors: Javad Nadaf, Valentina Riggio, Tun-Ping Yu and Ricardo Pong-Wong
    Citation: BMC Proceedings 2012 6(Suppl 2):S6
    Content type: Proceedings Published on:

    This article is part of a Supplement: Volume 6 Supplement 2

  5. The mixed model based single locus regression analysis (MMRA) method was used to analyse the common simulated dataset of the 15th QTL-MAS workshop to detect potential significant association between single nuc...

    Authors: Wei-Xuan Fu, Chong-Long Wang, Xiang-Dong Ding, Zhe Zhang, Pei-Pei Ma, Zi-Qing Weng, Jian-Feng Liu and Qin Zhang
    Citation: BMC Proceedings 2012 6(Suppl 2):S5
    Content type: Proceedings Published on:

    This article is part of a Supplement: Volume 6 Supplement 2

  6. Despite many success stories of genome wide association studies (GWAS), challenges exist in QTL detection especially in datasets with many levels of relatedness. In this study we compared four methods of GWA o...

    Authors: Golam R Dashab, Naveen K Kadri, Mohammad M Shariati and Goutam Sahana
    Citation: BMC Proceedings 2012 6(Suppl 2):S4
    Content type: Proceedings Published on:

    This article is part of a Supplement: Volume 6 Supplement 2

  7. The QTLMAS XVth dataset consisted of pedigree, marker genotypes and quantitative trait performances of animals with a sib family structure. Pedigree and genotypes concerned 3,000 progenies among those 2,000 were ...

    Authors: Pascale Le Roy, Olivier Filangi, Olivier Demeure and Jean-Michel Elsen
    Citation: BMC Proceedings 2012 6(Suppl 2):S3
    Content type: Proceedings Published on:

    This article is part of a Supplement: Volume 6 Supplement 2

  8. The QTLMAS XVth dataset consisted of the pedigrees, marker genotypes and quantitative trait performances of 2,000 phenotyped animals with a half-sib family structure. The trait was regulated by 8 QTL which displa...

    Authors: Olivier Demeure, Olivier Filangi, Jean-Michel Elsen and Pascale Le Roy
    Citation: BMC Proceedings 2012 6(Suppl 2):S2
    Content type: Proceedings Published on:

    This article is part of a Supplement: Volume 6 Supplement 2

  25. Authors: Mala Rao, Shridhar Kadam, TN Sathyanarayana, Rahul Shidhaye, Rajan Shukla, Srikrishna Sulgodu Ramachandra, Souvik Bandyopadhyay, Anil Chandran, CT Anitha, M Sitamma, Mathew Sunil George, Vivek Singh, Subhashini Sivasankaran and Veena Shatrugna
    Citation: BMC Proceedings 2012 6(Suppl 1):O4
    Content type: Oral presentation Published on:

    This article is part of a Supplement: Volume 6 Supplement 1

  35. Novel technologies allow sequencing of whole genomes and are considered as an emerging approach for the identification of rare disease-associated variants. Recent studies have shown that multiple rare variants...

    Authors: Carmen Dering, Andreas Ziegler, Inke R König and Claudia Hemmelmann
    Citation: BMC Proceedings 2011 5(Suppl 9):S115
    Content type: Proceedings Published on:

    This article is part of a Supplement: Volume 5 Supplement 9

  36. Genome-wide association studies have successfully identified numerous loci at which common variants influence disease risks or quantitative traits of interest. Despite these successes, the variants identified ...

    Authors: Libo Wang, Vitara Pungpapong, Yanzhu Lin, Min Zhang and Dabao Zhang
    Citation: BMC Proceedings 2011 5(Suppl 9):S110
    Content type: Proceedings Published on:

    This article is part of a Supplement: Volume 5 Supplement 9

  37. We present an evaluation of discovery power for two association tests that work well with common alleles but are applied to the Genetic Analysis Workshop 17 simulations with rare causative single-nucleotide po...

    Authors: Aldi T Kraja, Jacek Czajkowski, Mary F Feitosa, Ingrid B Borecki and Michael A Province
    Citation: BMC Proceedings 2011 5(Suppl 9):S96
    Content type: Proceedings Published on:

    This article is part of a Supplement: Volume 5 Supplement 9

  38. The synthetic association hypothesis proposes that common genetic variants detectable in genome-wide association studies may reflect the net phenotypic effect of multiple rare polymorphisms distributed broadly...

    Authors: Jack W Kent Jr, Vidya Farook, Harald HH Göring, Thomas D Dyer, Laura Almasy, Ravindranath Duggirala and John Blangero
    Citation: BMC Proceedings 2011 5(Suppl 9):S87
    Content type: Proceedings Published on:

    This article is part of a Supplement: Volume 5 Supplement 9

  39. To detect rare variants associated with a phenotype, we develop a novel statistical method that can use both family and unrelated case-control data. Unlike the currently existing methods, we first use family d...

    Authors: Tao Feng, Robert C Elston and Xiaofeng Zhu
    Citation: BMC Proceedings 2011 5(Suppl 9):S80
    Content type: Proceedings Published on:

    This article is part of a Supplement: Volume 5 Supplement 9

  40. Univariate genome-wide association analysis of quantitative and qualitative traits has been investigated extensively in the literature. In the presence of correlated phenotypes, it is more intuitive to analyze...

    Authors: Mengdie Yuan and Guoqing Diao
    Citation: BMC Proceedings 2011 5(Suppl 9):S74
    Content type: Proceedings Published on:

    This article is part of a Supplement: Volume 5 Supplement 9

  41. Clinical binary end-point traits are often governed by quantitative precursors. Hence it may be a prudent strategy to analyze a clinical end-point trait by considering a multivariate phenotype vector, possibly...

    Authors: Indranil Mukhopadhyay, Sujayam Saha and Saurabh Ghosh
    Citation: BMC Proceedings 2011 5(Suppl 9):S73
    Content type: Proceedings Published on:

    This article is part of a Supplement: Volume 5 Supplement 9

  42. We use a novel penalized approach for genome-wide association study that accounts for the linkage disequilibrium between adjacent markers. This method uses a penalty on the difference of the genetic effect at ...

    Authors: Jin Liu, Kai Wang, Shuangge Ma and Jian Huang
    Citation: BMC Proceedings 2011 5(Suppl 9):S67
    Content type: Proceedings Published on:

    This article is part of a Supplement: Volume 5 Supplement 9

  43. New high-throughput sequencing technologies have brought forth opportunities for unbiased analysis of thousands of rare genomic variants in genome-wide association studies of complex diseases. Because it is ha...

    Authors: Wei Yang and C Charles Gu
    Citation: BMC Proceedings 2011 5(Suppl 9):S52
    Content type: Proceedings Published on:

    This article is part of a Supplement: Volume 5 Supplement 9

  44. Analyzing sets of genes in genome-wide association studies is a relatively new approach that aims to capitalize on biological knowledge about the interactions of genes in biological pathways. This approach, ca...

    Authors: Ashley Petersen, Alexandra Sitarik, Alexander Luedtke, Scott Powers, Airat Bekmetjev and Nathan L Tintle
    Citation: BMC Proceedings 2011 5(Suppl 9):S48
    Content type: Proceedings Published on:

    This article is part of a Supplement: Volume 5 Supplement 9

  45. Because of the low frequency of rare genetic variants in observed data, the statistical power of detecting their associations with target traits is usually low. The collapsing test of collective effect of mult...

    Authors: Qunyuan Zhang, Doyoung Chung, Aldi Kraja, Ingrid I Borecki and Michael A Province
    Citation: BMC Proceedings 2011 5(Suppl 9):S35
    Content type: Proceedings Published on:

    This article is part of a Supplement: Volume 5 Supplement 9

  46. For the family data from Genetic Analysis Workshop 17, we obtained heritability estimates of quantitative traits Q1 and Q4 using the ASSOC program in the S.A.G.E. software package. ASSOC is a family-based meth...

    Authors: Priya B Shetty, Huaizhen Qin, Junghyun Namkung, Robert C Elston and Xiaofeng Zhu
    Citation: BMC Proceedings 2011 5(Suppl 9):S34
    Content type: Proceedings Published on:

    This article is part of a Supplement: Volume 5 Supplement 9

  47. We found from our analysis of the Genetic Analysis Workshop 17 data that the population structure of the 697 unrelated individuals was an important confounding factor for association studies, even if it was no...

    Authors: Huaizhen Qin, Robert C Elston and Xiaofeng Zhu
    Citation: BMC Proceedings 2011 5(Suppl 9):S25
    Content type: Proceedings Published on:

    This article is part of a Supplement: Volume 5 Supplement 9

  48. Model selection procedures for simultaneous analysis of all single-nucleotide polymorphisms in genome-wide association studies are most suitable for making full use of the data for a complex disease study. In ...

    Authors: Allan J Motyer, Chris McKendry, Sally Galbraith and Susan R Wilson
    Citation: BMC Proceedings 2011 5(Suppl 9):S24
    Content type: Proceedings Published on:

    This article is part of a Supplement: Volume 5 Supplement 9

  49. I seek to comprehensively evaluate the quality of the Genetic Analysis Workshop 17 (GAW17) data set by examining the accuracy of its genotype calls, which were based on the pilot3 data of the 1000 Genomes Proj...

    Authors: Alexander H Stram
    Citation: BMC Proceedings 2011 5(Suppl 9):S14
    Content type: Proceedings Published on:

    This article is part of a Supplement: Volume 5 Supplement 9

  50. Rare genetic variants have been shown to be important to the susceptibility of common human diseases. Methods for detecting association of rare genetic variants are drawing much attention. In this report, we a...

    Authors: Hongyan Xu and Varghese George
    Citation: BMC Proceedings 2011 5(Suppl 9):S7
    Content type: Proceedings Published on:

    This article is part of a Supplement: Volume 5 Supplement 9

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