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  1. It has recently become possible to screen thousands of markers to detect genetic causes of common diseases. Along with this potential comes analytical challenges, and it is important to develop new statistical...

    Authors: Po-Hsiu Kuo, József Bukszár and Edwin JCG van den Oord

    Citation: BMC Proceedings 2007 1(Suppl 1):S143

    Content type: Proceedings

    Published on:

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

  2. With the availability of very dense genome-wide maps of markers, multiple testing has become a major difficulty for genetic studies. In this context, the false-discovery rate (FDR) and related criteria are wid...

    Authors: Cyril Dalmasso, Joseph Pickrell, Marianne Tuefferd, Emmanuelle Génin, Catherine Bourgain and Philippe Broët

    Citation: BMC Proceedings 2007 1(Suppl 1):S141

    Content type: Proceedings

    Published on:

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

  3. Genetic association studies offer an opportunity to find genetic variants underlying complex human diseases. Various tests have been developed to improve their power. However, none of these tests is uniformly ...

    Authors: Tao Wang, Qing Lu, Monica Torres-Caban and Robert C Elston

    Citation: BMC Proceedings 2007 1(Suppl 1):S139

    Content type: Proceedings

    Published on:

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

  4. Finding a genetic marker associated with a trait is a classic problem in human genetics. Recently, two-stage approaches have gained popularity in marker-trait association studies, in part because researchers h...

    Authors: Rori V Rohlfs, Chelsea Taylor, Lucia Mirea, Shelley B Bull, Mary Corey and Amy D Anderson

    Citation: BMC Proceedings 2007 1(Suppl 1):S137

    Content type: Proceedings

    Published on:

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

  5. Large genetic association studies based on hundreds of thousands of single-nucleotide polymorphisms (SNPs) are a popular option for the study of complex diseases. The evaluation of gene × gene interactions in ...

    Authors: Amina Barhdadi and Marie-Pierre Dubé

    Citation: BMC Proceedings 2007 1(Suppl 1):S135

    Content type: Proceedings

    Published on:

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

  6. Among the various linkage-disequilibrium (LD) fine-mapping methods, two broad classes have received considerable development recently: those based on coalescent theory and those based on haplotype clustering. ...

    Authors: Sungho Won, Ritwik Sinha and Yuqun Luo

    Citation: BMC Proceedings 2007 1(Suppl 1):S133

    Content type: Proceedings

    Published on:

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

  7. We propose two new haplotype-sharing methods for identifying disease loci: the haplotype sharing statistic (HSS), which compares length of shared haplotypes between cases and controls, and the CROSS test, whic...

    Authors: Ilja M Nolte, André R de Vries, Geert T Spijker, Ritsert C Jansen, Dumitru Brinza, Alexander Zelikovsky and Gerard J te Meerman

    Citation: BMC Proceedings 2007 1(Suppl 1):S129

    Content type: Proceedings

    Published on:

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

  8. Rheumatoid arthritis is a complex disease caused by a combination of genetic, environmental, and hormonal factors, and their additive and/or non-additive effects. We performed a linkage analysis to provide evi...

    Authors: Cheongeun Oh

    Citation: BMC Proceedings 2007 1(Suppl 1):S110

    Content type: Proceedings

    Published on:

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

  9. We proposed a confidence interval method for disease gene localization by testing every position on each chromosome of interest for its possibility of being a disease locus and including those not rejected int...

    Authors: Shuyan Wan and Shili Lin

    Citation: BMC Proceedings 2007 1(Suppl 1):S106

    Content type: Proceedings

    Published on:

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

  10. We have used the genome-wide marker genotypes from Genetic Analysis Workshop 15 Problem 2 to explore joint evidence for genetic linkage to rheumatoid arthritis across several samples. The data consisted of fou...

    Authors: Ricardo Segurado, Marian L Hamshere, Beate Glaser, Ivan Nikolov, Valentina Moskvina and Peter A Holmans

    Citation: BMC Proceedings 2007 1(Suppl 1):S104

    Content type: Proceedings

    Published on:

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

  11. Rheumatoid arthritis is the most common systematic autoimmune disease and its etiology is believed to have both strong genetic and environmental components. We demonstrate the utility of including genetic and ...

    Authors: Marian L Hamshere, Ricardo Segurado, Valentina Moskvina, Ivan Nikolov, Beate Glaser and Peter A Holmans

    Citation: BMC Proceedings 2007 1(Suppl 1):S100

    Content type: Proceedings

    Published on:

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

  12. Rheumatoid arthritis is a complex disease in which environmental factors interact with genetic factors that influence susceptibility. Incorporating information about related quantitative traits or environmenta...

    Authors: Yen-Feng Chiu, Jeng-Min Chiou, Yi-Shin Chen, Hui-Yi Kao and Fang-Chi Hsu

    Citation: BMC Proceedings 2007 1(Suppl 1):S98

    Content type: Proceedings

    Published on:

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

  13. Genome scan meta-analysis (GSMA) can prove very useful in detecting genetic effects too small to be detected in an individual linkage study and can also lead to more consistent results. In this paper, we propo...

    Authors: Laurent Briollais, Gilles Durrieu and Ranodya Upathilake

    Citation: BMC Proceedings 2007 1(Suppl 1):S96

    Content type: Proceedings

    Published on:

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

  14. Accounting for interactions with environmental factors in association studies may improve the power to detect genetic effects and may help identifying important environmental effect modifiers. The power of unp...

    Authors: Astrid Dempfle, Rebecca Hein, Lars Beckmann, André Scherag, Thuy Trang Nguyen, Helmut Schäfer and Jenny Chang-Claude

    Citation: BMC Proceedings 2007 1(Suppl 1):S73

    Content type: Proceedings

    Published on:

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

  15. Rheumatoid arthritis (RA) is a complex disease that involves both environmental and genetic factors. Elucidation of the basic etiologic factors involved in RA is essential for preventing and treating this dise...

    Authors: Yi-Shin Chen, Yen-Feng Chiu, Hui-Yi Kao and Fang-Chi Hsu

    Citation: BMC Proceedings 2007 1(Suppl 1):S71

    Content type: Proceedings

    Published on:

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

  16. It is believed that epistatic interactions among loci contribute to variations in quantitative traits. Several methods are available to detect epistasis using population-based data. However, methods to charact...

    Authors: Hua Li, Guimin Gao, Jian Li, Grier P Page and Kui Zhang

    Citation: BMC Proceedings 2007 1(Suppl 1):S67

    Content type: Proceedings

    Published on:

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

  17. We performed a genome-wide search for pairs of susceptibility loci that jointly contribute to rheumatoid arthritis in families recruited by the North American Rheumatoid Arthritis Consortium. A complete two-di...

    Authors: Jordana Tzenova Bell

    Citation: BMC Proceedings 2007 1(Suppl 1):S63

    Content type: Proceedings

    Published on:

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

  18. Significant alterations of T-cell function, along with activation of the inflammatory response system, appear to be linked not only to treatment-resistant schizophrenia, but also to functional psychoses and mo...

    Authors: Hans H Stassen, Armin Szegedi and Christian Scharfetter

    Citation: BMC Proceedings 2007 1(Suppl 1):S61

    Content type: Proceedings

    Published on:

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

  19. The simulated data set of the Genetic Analysis Workshop 15 provided affection status, four quantitative traits, and a covariate. After studying the relationship between these variables, linkage analysis was un...

    Authors: Nathan Pankratz

    Citation: BMC Proceedings 2007 1(Suppl 1):S30

    Content type: Proceedings

    Published on:

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

  20. We present a new method for testing association when data from both case-parents trios and unrelated controls are available. Our method combines test statistics for case-parents trio and unrelated case-control...

    Authors: Jungnam Joo, Xin Tian, Gang Zheng, Mario Stylianou, Jing-Ping Lin and Nancy L Geller

    Citation: BMC Proceedings 2007 1(Suppl 1):S28

    Content type: Proceedings

    Published on:

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

  21. The transmission/disequilibrium test was introduced to test for linkage and association between a marker and a putative disease locus using case-parent triads. Several extensions have been proposed to accommod...

    Authors: Chao-Yu Guo

    Citation: BMC Proceedings 2007 1(Suppl 1):S26

    Content type: Proceedings

    Published on:

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

  22. The presence of missing data in association studies is an important problem, particularly with high-density single-nucleotide polymorphism (SNP) maps, because the probability that at least one genotype is miss...

    Authors: Pascal Croiseau, Claire Bardel and Emmanuelle Génin

    Citation: BMC Proceedings 2007 1(Suppl 1):S24

    Content type: Proceedings

    Published on:

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

  23. We recently described a new method to identify disease susceptibility loci, based on the analysis of the evolutionary relationships between haplotypes of cases and controls. However, haplotypes are often unkno...

    Authors: Claire Bardel, Pascal Croiseau and Emmanuelle Génin

    Citation: BMC Proceedings 2007 1(Suppl 1):S22

    Content type: Proceedings

    Published on:

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

  24. Although single chi-square analysis of the North American Rheumatoid Arthritis Consortium (NARAC) data identifies many single-nucleotide polymorphisms (SNPs) with p-values less than 0.05, none remain significant ...

    Authors: William Tapper, Andrew Collins and Newton E Morton

    Citation: BMC Proceedings 2007 1(Suppl 1):S18

    Content type: Proceedings

    Published on:

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

  25. Data for Problem 3 of the Genetic Analysis Workshop 15 were generated by computer simulation in an attempt to mimic some of the genetic and epidemiological features of rheumatoid arthritis (RA) such as its pop...

    Authors: Michael B Miller, Gregg R Lind, Na Li and Soon-Young Jang

    Citation: BMC Proceedings 2007 1(Suppl 1):S4

    Content type: Proceedings

    Published on:

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

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