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  1. A simple multipoint procedure to test for parent-of-origin effects in samples of affected siblings is discussed. The procedure consists of artificially changing all full sibs to half-sibs, with distinct mother...

    Authors: Mathieu Lemire
    Citation: BMC Genetics 2005 6(Suppl 1):S159

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

  2. We report a simple and rapid method for detecting additive genetic variance due to X-linked loci in the absence of marker data for this chromosome. We examined the interaction of this method with an establishe...

    Authors: Jack W Kent Jr, Loren R Lease, Michael C Mahaney, Thomas D Dyer, Laura Almasy and John Blangero
    Citation: BMC Genetics 2005 6(Suppl 1):S157

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

  3. Homozygosity outlier loci, which show patterns of variation that are extremely divergent from the rest of the genome, can be evaluated by comparison of the homozygosity under Hardy-Weinberg proportions (the su...

    Authors: Ke-Sheng Wang, Michelle Liu and Andrew D Paterson
    Citation: BMC Genetics 2005 6(Suppl 1):S155

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

  4. Errors while genotyping are inevitable and can reduce the power to detect linkage. However, does genotyping error have the same impact on linkage results for single-nucleotide polymorphism (SNP) and microsatel...

    Authors: Cheryl L Thompson, Dan Baechle, Qing Lu, George Mathew, Yeunjoo Song, Sudha K Iyengar, Courtney Gray-McGuire and Katrina AB Goddard
    Citation: BMC Genetics 2005 6(Suppl 1):S153

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

  5. Complex diseases are multifactorial in nature and can involve multiple loci with gene × gene and gene × environment interactions. Research on methods to uncover the interactions between those genes that confer...

    Authors: Guy N Brock, Brion S Maher, Toby H Goldstein, Margaret E Cooper and Mary L Marazita
    Citation: BMC Genetics 2005 6(Suppl 1):S144

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

  6. The simulated dataset of the Genetic Analysis Workshop 14 provided affection status and the presence or absence of 12 traits. It was determined that all affected individuals must have traits E, F and H (EFH ph...

    Authors: Nathan Pankratz, Ellen Edenberg and Tatiana Foroud
    Citation: BMC Genetics 2005 6(Suppl 1):S142

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

  7. Previous genome scan linkage analyses of the disease Kofendrerd Personality Disorder (KPD) with microsatellites led to detect some regions on chromosomes 1, 3, 5, and 9 that were identical for the three popula...

    Authors: Marie-Hélène Dizier, Emmanuelle Génin, Marie Claude Babron and Catherine Bourgain
    Citation: BMC Genetics 2005 6(Suppl 1):S140

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

  8. We consider a new Bayesian approach for heterogeneity that can take into account categorical covariates, if available. We use the Genetic Analysis Workshop 14 simulated data to first compare the Bayesian appro...

    Authors: Swati Biswas, Shili Lin and Donald A Berry
    Citation: BMC Genetics 2005 6(Suppl 1):S138

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

  9. In genome-wide genetic studies with a large number of markers, balancing the type I error rate and power is a challenging issue. Recently proposed false discovery rate (FDR) approaches are promising solutions ...

    Authors: Qiong Yang, Jing Cui, Irmarie Chazaro, L Adrienne Cupples and Serkalem Demissie
    Citation: BMC Genetics 2005 6(Suppl 1):S134

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

  10. We applied the alternating decision trees (ADTrees) method to the last 3 replicates from the Aipotu, Danacca, Karangar, and NYC populations in the Problem 2 simulated Genetic Analysis Workshop dataset. Using i...

    Authors: Kuang-Yu Liu, Jennifer Lin, Xiaobo Zhou and Stephen TC Wong
    Citation: BMC Genetics 2005 6(Suppl 1):S132

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

  11. Alcoholism is a complex disease. As with other common diseases, genetic variants underlying alcoholism have been illusive, possibly due to the small effect from each individual susceptible variant, gene × envi...

    Authors: Liang Chen, Nianjun Liu, Shuang Wang, Cheongeun Oh, Nicholas J Carriero and Hongyu Zhao
    Citation: BMC Genetics 2005 6(Suppl 1):S130

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

  12. Genome-wide association will soon be available to use as an adjunct to traditional linkage analysis. We studied alcoholism in 119 families collected by the Collaborative Study on the Genetics of Alcoholism and...

    Authors: Xiaofeng Zhu, Richard Cooper, Donghui Kan, Guichan Cao and Xiaodong Wu
    Citation: BMC Genetics 2005 6(Suppl 1):S128

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

  13. Using data provided by the Collaborative Study on the Genetics of Alcoholism we studied the genetics of a quantitative trait: the maximum number of drinks consumed in a 24-hour period. A two-stage method was u...

    Authors: Scott F Saccone, Nancy L Saccone, Rosalind J Neuman and John P Rice
    Citation: BMC Genetics 2005 6(Suppl 1):S124

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

  14. Studies have shown that genetic and environmental factors and their interactions affect several alcoholism phenotypes. Genotype × alcoholism (G×A) interaction refers to the environmental (alcoholic and non-alc...

    Authors: Rector Arya, Thomas D Dyer, Diane M Warren, Christopher P Jenkinson, Ravindranath Duggirala and Laura Almasy
    Citation: BMC Genetics 2005 6(Suppl 1):S120

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

  15. Common human disorders, such as alcoholism, may be the result of interactions of many genes as well as environmental risk factors. Therefore, it is important to incorporate gene × gene and gene × environment i...

    Authors: Cheongeun Oh, Shuang Wang, Nianjun Liu, Liang Chen and Hongyu Zhao
    Citation: BMC Genetics 2005 6(Suppl 1):S116

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

  16. We studied a trend test for genetic association between disease and the number of risk alleles using case-control data. When the data are sampled from families, this trend test can be adjusted to take into acc...

    Authors: Xin Tian, Jungnam Joo, Gang Zheng and Jing-Ping Lin
    Citation: BMC Genetics 2005 6(Suppl 1):S107

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

  17. We examine the efficiency of a number of schemes to select cases from nuclear families for case-control association analysis using the Genetic Analysis Workshop 14 simulated dataset. We show that with this sim...

    Authors: Rachael M Moore, Tracy Pinel, Jing Hua Zhao, Ruth March and Ansar Jawaid
    Citation: BMC Genetics 2005 6(Suppl 1):S105

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

  18. For mapping complex disease traits, linkage studies are often followed by a case-control association strategy in order to identify disease-associated genes/single-nucleotide polymorphisms (SNPs). Substantial e...

    Authors: Chunyu Liu, L Adrienne Cupples and Josée Dupuis
    Citation: BMC Genetics 2005 6(Suppl 1):S103

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

  19. In this paper, different strategies to test for association in samples with related individuals designed for linkage studies are compared. Because no independent controls are available, a family-based associat...

    Authors: Catherine Bourgain
    Citation: BMC Genetics 2005 6(Suppl 1):S98

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

  20. Genome scans using dense single-nucleotide polymorphism (SNP) data have recently become a reality. It is thought that the increase in information content for linkage analysis as a result of the denser scans wi...

    Authors: Matthew B McQueen, Amy Murphy, Peter Kraft, Jessica Su, Ross Lazarus, Nan M Laird, Christoph Lange and Kristel Van Steen
    Citation: BMC Genetics 2005 6(Suppl 1):S96

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

  21. The transmission/disequilibrium test was introduced to test for linkage disequilibrium between a marker and a putative disease locus using case-parent trios. However, parental genotypes may be incomplete in su...

    Authors: Chao-Yu Guo, Jing Cui and L Adrienne Cupples
    Citation: BMC Genetics 2005 6(Suppl 1):S90

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

  22. Linkage disequilibrium (LD) content was calculated for the Genetic Analysis Workshop 14 Affymetrix and Illumina single-nucleotide polymorphism (SNP) genome scans of the Collaborative Study on the Genetics of A...

    Authors: Juan Manuel Peralta, Thomas D Dyer, Diane M Warren, John Blangero and Laura Almasy
    Citation: BMC Genetics 2005 6(Suppl 1):S86

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

  23. Accurately resolving population structure in a sample is important for both linkage and association studies. In this study we investigated the power of single-nucleotide polymorphisms (SNPs) in detecting popul...

    Authors: John SK Kauwe, Sarah Bertelsen, Laura Jean Bierut, Gerald Dunn, Anthony L Hinrichs, Carol H Jin and Brian K Suarez
    Citation: BMC Genetics 2005 6(Suppl 1):S84

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

  24. Current genome-wide linkage-mapping single-nucleotide polymorphism (SNP) panels with densities of 0.3 cM are likely to have increased intermarker linkage disequilibrium (LD) compared to 5-cM microsatellite pan...

    Authors: Ellen L Goode, Michael D Badzioch and Gail P Jarvik
    Citation: BMC Genetics 2005 6(Suppl 1):S82

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

  25. We compared the accuracy of haplotype inferences at a 6 Mb region on chromosome 7 where significant linkage between a brain oscillation phenotype and a cholinergic muscarinic receptor gene was previously repor...

    Authors: Christy L Avery, Lisa J Martin, Jeff T Williams and Kari E North
    Citation: BMC Genetics 2005 6(Suppl 1):S80

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

  26. Although permutation testing has been the gold standard for assessing significance levels in studies using multiple markers, it is time-consuming. A Bonferroni correction to the nominal p-value that uses the unde...

    Authors: Kristin K Nicodemus, Wenlei Liu, Gary A Chase, Ya-Yu Tsai and M Daniele Fallin
    Citation: BMC Genetics 2005 6(Suppl 1):S78

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

  27. Our goal was to compare methods for tagging single-nucleotide polymorphisms (tagSNPs) with respect to the power to detect disease association under differing haplotype-disease association models. We were also ...

    Authors: Kelly M Burkett, Mercedeh Ghadessi, Brad McNeney, Jinko Graham and Denise Daley
    Citation: BMC Genetics 2005 6(Suppl 1):S71

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

  28. It is generally assumed that the detection of disease susceptibility genes via fine-mapping association study is facilitated by consideration of marker haplotypes. In this study, we compared the performance of...

    Authors: Dushanthi Pinnaduwage and Laurent Briollais
    Citation: BMC Genetics 2005 6(Suppl 1):S65

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

  29. There is great interest in the use of computationally intensive methods for fine mapping of marker data. In this paper we develop methods based upon ideas originally proposed 100 years ago in the context of sp...

    Authors: John Molitor, Keyan Zhao and Paul Marjoram
    Citation: BMC Genetics 2005 6(Suppl 1):S63

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

  30. We developed a new marker-reordering algorithm to find the best order of fine-mapping markers for multipoint linkage analysis. The algorithm searches for the best order of fine-mapping markers such that the su...

    Authors: Gyungah Jun, Yeunjoo Song, Sudha K Iyengar and Robert C Elston
    Citation: BMC Genetics 2005 6(Suppl 1):S61

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

  31. Using the Genetic Analysis Workshop 14 simulated datasets we carried out nonparametric linkage analyses and applied a log-linear method for analysis of case-parent-triad data with stratification on parental ma...

    Authors: Joseph Beyene, Jun Yan and Celia MT Greenwood
    Citation: BMC Genetics 2005 6(Suppl 1):S59

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

  32. The information content of a continuous variable exceeds that of its categorical counterpart. The parameterization of a model may diminish the benefit of using a continuous variable. We explored the use of con...

    Authors: Kevin R Viel, Diane M Warren, Alfonso Buil, Thomas D Dyer, Tom E Howard and Laura Almasy
    Citation: BMC Genetics 2005 6(Suppl 1):S57

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

  33. For the identification of susceptibility loci in complex diseases the choice of the target phenotype is very important. We compared results of genome-wide searches for linkage or for association related to thr...

    Authors: Albert Rosenberger, Nico Janicke, Karola Köhler, Katrin Korb, Bettina Kulle and Heike Bickeböller
    Citation: BMC Genetics 2005 6(Suppl 1):S55

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

  34. Association studies of quantitative traits have often relied on methods in which a normal distribution of the trait is assumed. However, quantitative phenotypes from complex human diseases are often censored, ...

    Authors: Yi-Ju Li, Eden R Martin, Ling Zhang and Andrew S Allen
    Citation: BMC Genetics 2005 6(Suppl 1):S53

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

  35. Recombination during meiosis is one of the most important biological processes, and the level of recombination rates for a given individual is under genetic control. In this study, we conducted genome-wide ass...

    Authors: Song Huang, Shuang Wang, Nianjun Liu, Liang Chen, Cheongeun Oh and Hongyu Zhao
    Citation: BMC Genetics 2005 6(Suppl 1):S51

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

  36. We evaluate a method for the incorporation of covariates into linkage analysis using the Genetic Analysis Workshop 14 simulated data. Focusing on a randomly chosen replicate (42) we investigated the effect of ...

    Authors: Marian L Hamshere, Stuart MacGregor, Valentina Moskvina, Ivan N Nikolov and Peter A Holmans
    Citation: BMC Genetics 2005 6(Suppl 1):S45

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

  37. We present a meta-analysis procedure for genome-wide linkage studies (MAGS). The MAGS procedure combines genome-wide linkage results across studies with possibly distinct marker maps. We applied the MAGS proce...

    Authors: Carol J Etzel, Mei Liu and Tracy J Costello
    Citation: BMC Genetics 2005 6(Suppl 1):S43

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

  38. A thorough genetic mapping study was performed to identify predisposing genes for alcoholism dependence using the Collaborative Study on the Genetics of Alcoholism (COGA) data. The procedure comprised whole-ge...

    Authors: Hsin-Chou Yang, Chien-Ching Chang, Chin-Yu Lin, Chun-Liang Chen, Chin-Yu Lin and Cathy SJ Fann
    Citation: BMC Genetics 2005 6(Suppl 1):S30

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

  39. There is currently a great interest in using single-nucleotide polymorphisms (SNPs) in genetic linkage and association studies because of the abundance of SNPs as well as the availability of high-throughput ge...

    Authors: Shuang Wang, Song Huang, Nianjun Liu, Liang Chen, Cheongeun Oh and Hongyu Zhao
    Citation: BMC Genetics 2005 6(Suppl 1):S28

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

  40. Single-nucleotide polymorphisms (SNPs) are a class of attractive genetic markers for population genetic studies and for identifying genetic variations underlying complex traits. However, the usefulness and eff...

    Authors: Nianjun Liu, Liang Chen, Shuang Wang, Cheongeun Oh and Hongyu Zhao
    Citation: BMC Genetics 2005 6(Suppl 1):S26

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

  41. Using the simulated data of Problem 2 for Genetic Analysis Workshop 14 (GAW14), we investigated the ability of three bootstrap-based resampling estimators (a shrinkage, an out-of-sample, and a weighted estimat...

    Authors: Long Yang Wu, Sophia SF Lee, Haijiang Steven Shi, Lei Sun and Shelley B Bull
    Citation: BMC Genetics 2005 6(Suppl 1):S24

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

  42. Genome-wide linkage analysis using microsatellite markers has been successful in the identification of numerous Mendelian and complex disease loci. The recent availability of high-density single-nucleotide pol...

    Authors: Alison P Klein, Ya-Yu Tsai, Priya Duggal, Elizabeth M Gillanders, Michael Barnhart, Rasika A Mathias, Ian P Dusenberry, Amy Turiff, Peter S Chines, Janet Goldstein, Robert Wojciechowski, Wayne Hening, Elizabeth W Pugh and Joan E Bailey-Wilson
    Citation: BMC Genetics 2005 6(Suppl 1):S20

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

  43. Recent studies have suggested that a high-density single nucleotide polymorphism (SNP) marker set could provide equivalent or even superior information compared with currently used microsatellite (STR) marker ...

    Authors: Xiaohong (Rose) Yang, Kevin Jacobs, Kimberly F Kerstann, Andrew W Bergen, Alisa M Goldstein and Lynn R Goldin
    Citation: BMC Genetics 2005 6(Suppl 1):S14

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

  44. The efficacy of linkage studies using microsatellites and single-nucleotide polymorphisms (SNPs) was evaluated. Analyzed data were supplied by the Collaborative Study on the Genetics of Alcoholism (COGA). Alco...

    Authors: Jérémie Nsengimana, Hélène Renard and David Goldgar
    Citation: BMC Genetics 2005 6(Suppl 1):S10

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

  45. Alcoholism is a complex disease. There have been many reports on significant comorbidity between alcoholism and schizophrenia. For the genetic study of complex diseases, association analysis has been recommend...

    Authors: Junghyun Namkung, Youngchul Kim and Taesung Park
    Citation: BMC Genetics 2005 6(Suppl 1):S9

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

  46. We performed linkage and linkage disequilibrium (LD) mapping analyses to compare the power between microsatellite and single nucleotide polymorphism (SNP) markers. Chromosome-wide analyses were performed for a...

    Authors: Hsiu-Fen Lin, Suh-Hang Hank Juo and Rong Cheng
    Citation: BMC Genetics 2005 6(Suppl 1):S7

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

  47. The feasibility of effectively analyzing high-density single nucleotide polymorphism (SNP) maps in whole genome scans of complex traits is not known. The purpose of this study was to compare variance component...

    Authors: Helen Kim, Carolyn M Hutter, Stephanie A Monks and Karen L Edwards
    Citation: BMC Genetics 2005 6(Suppl 1):S5

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

  48. The Genetic Analysis Workshop 14 simulated dataset was designed 1) To test the ability to find genes related to a complex disease (such as alcoholism). Such a disease may be given a variety of definitions by d...

    Authors: David A Greenberg, Junying Zhang, Dvora Shmulewitz, Lisa J Strug, Regina Zimmerman, Veena Singh and Sudhir Marathe
    Citation: BMC Genetics 2005 6(Suppl 1):S3

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

  49. Authors: Joan E Bailey-Wilson, Laura Almasy, Mariza de Andrade, Julia Bailey, Heike Bickeböller, Heather J Cordell, E Warwick Daw, Lynn Goldin, Ellen L Goode, Courtney Gray-McGuire, Wayne Hening, Gail Jarvik, Brion S Maher, Nancy Mendell, Andrew D Paterson, John Rice…
    Citation: BMC Genetics 2005 6(Suppl 1):S1

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

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