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Volume 3 Supplement 7

Genetic Analysis Workshop 16


Genetic Analysis Workshop 16. Go to conference site.

St Louis, MO, USA17-20 September 2008

Page 3 of 3

  1. Over the past decade, genetic analysis has shifted from linkage studies, which identify broad regions containing putative trait loci, to genome-wide association studies, which detect the association of a marke...

    Authors: Audrey E Hendricks, Yanyan Zhu and Josée Dupuis
    Citation: BMC Proceedings 2009 3(Suppl 7):S100
  2. We performed association analysis under a previous linkage peak on chromosome 16 with genome-wide single-nucleotide polymorphism (SNP) data to identify genetic variants underlying body mass index (BMI). Data f...

    Authors: Xiaohui Li, Ling Mei, Kai Yang, Jerome I Rotter and Xiuqing Guo
    Citation: BMC Proceedings 2009 3(Suppl 7):S101
  3. We explored the utility of population- and pedigree-based analyses using the Framingham Heart Study genome-wide 50 k single-nucleotide polymorphism marker data provided for Genetic Analysis Workshop 16. Our ai...

    Authors: Elizabeth E Marchani, Yanming Di, Yoonha Choi, Charles Cheung, Ming Su, Frederick Boehm, Elizabeth A Thompson and Ellen M Wijsman
    Citation: BMC Proceedings 2009 3(Suppl 7):S102
  4. The power of genome-wide association studies can be improved by incorporating information from previous study findings, for example, results of genome-wide linkage analyses. Weighted false-discovery rate (FDR)...

    Authors: Yun Joo Yoo, Dushanthi Pinnaduwage, Daryl Waggott, Shelley B Bull and Lei Sun
    Citation: BMC Proceedings 2009 3(Suppl 7):S103
  5. To overcome the "spurious" association caused by population stratification in population-based association studies, we propose a principal-component based method that can use both family and unrelated samples ...

    Authors: Qingfu Feng, Joseph Abraham, Tao Feng, Yeunjoo Song, Robert C Elston and Xiaofeng Zhu
    Citation: BMC Proceedings 2009 3(Suppl 7):S104
  6. Linkage disequilibrium (LD) is an important measure used in the analysis of single-nucleotide polymorphism (SNP) data. We used the Genetic Analysis Workshop 16 (GAW16) Framingham Heart Study 500 k SNP data to ...

    Authors: Qimei He and Bradley J Willcox
    Citation: BMC Proceedings 2009 3(Suppl 7):S105
  7. Although identification of cryptic population stratification is necessary for case/control association analyses, it is also vital for linkage analyses and family-based association tests when founder genotypes ...

    Authors: Anthony L Hinrichs, Robert Culverhouse, Carol H Jin and Brian K Suarez
    Citation: BMC Proceedings 2009 3(Suppl 7):S106
  8. To account for population stratification in association studies, principal-components analysis is often performed on single-nucleotide polymorphisms (SNPs) across the genome. Here, we use Framingham Heart Stud...

    Authors: Sun Jung Kang, Emma K Larkin, Yeunjoo Song, Jill Barnholtz-Sloan, Dan Baechle, Tao Feng and Xiaofeng Zhu
    Citation: BMC Proceedings 2009 3(Suppl 7):S107
  9. Population structure occurs when a sample is composed of individuals with different ancestries and can result in excess type I error in genome-wide association studies. Genome-wide principal-component analysis...

    Authors: Gina M Peloso, Nadia Timofeev and Kathryn L Lunetta
    Citation: BMC Proceedings 2009 3(Suppl 7):S108
  10. Population stratification (PS) represents a major challenge in genome-wide association studies. Using the Genetic Analysis Workshop 16 Problem 1 data, which include samples of rheumatoid arthritis patients and...

    Authors: Dai Wang, Yu Sun, Paul Stang, Jesse A Berlin, Marsha A Wilcox and Qingqin Li
    Citation: BMC Proceedings 2009 3(Suppl 7):S109
  11. It is well known that conventional association tests can lead to excessive false positives when there is population stratification. We propose a new test for detecting genetic association with a case-control s...

    Authors: Yufang Zhang, Xiangjun Xiao and Kai Wang
    Citation: BMC Proceedings 2009 3(Suppl 7):S111
  12. We examined the properties of growth mixture modeling in finding longitudinal quantitative trait loci in a genome-wide association study. Two software packages are commonly used in these analyses: Mplus and th...

    Authors: Su-Wei Chang, Seung Hoan Choi, Ke Li, Rose Saint Fleur, Chengrui Huang, Tong Shen, Kwangmi Ahn, Derek Gordon, Wonkuk Kim, Rongling Wu, Nancy R Mendell and Stephen J Finch
    Citation: BMC Proceedings 2009 3(Suppl 7):S112
  13. Epidemiologic study designs represent a major challenge for genome-wide association studies. Most such studies to date have selected controls from the pool of participants without the disease of interest at th...

    Authors: Delphine D Fradin and M Daniele Fallin
    Citation: BMC Proceedings 2009 3(Suppl 7):S113
  14. Obesity has become an epidemic in many countries and is one of the major risk conditions for disease including type 2 diabetes, coronary heart disease, stroke, dyslipidemia, and hypertension. Recent genome-wid...

    Authors: Jian'an Luan, Berit Kerner, Jing-Hua Zhao, Ruth JF Loos, Stephen J Sharp, Bengt O Muthén and Nicholas J Wareham
    Citation: BMC Proceedings 2009 3(Suppl 7):S115
  15. We investigated the association of metabolic syndrome (MetS) with a 500 k and a 50 k single-nucleotide polymorphism (SNP) gene chip in the Framingham Heart Study. We cross-sectionally evaluated the MetS longit...

    Authors: Yong-Moon Park, Michael A Province, Xiaoyi Gao, Mary Feitosa, Jun Wu, Duanduan Ma, DC Rao and Aldi T Kraja
    Citation: BMC Proceedings 2009 3(Suppl 7):S116
  16. Multivariate linear growth curves were used to model high-density lipoprotein (HDL), low-density lipoprotein (LDL), triglycerides (TG), and systolic blood pressure (SBP) measured during four exams from 1659 in...

    Authors: Nicole M Roslin, Jemila S Hamid, Andrew D Paterson and Joseph Beyene
    Citation: BMC Proceedings 2009 3(Suppl 7):S117
  17. In order to evaluate the population impact of putative causal genetic variants over the life course of disease, we extended the static estimation of population-attributable risk fraction and developed a novel ...

    Authors: Yu Yan, Yijuan Hu, Kari E North, Nora Franceschini and Danyu Lin
    Citation: BMC Proceedings 2009 3(Suppl 7):S118
  18. The Framingham Heart Study is a well known longitudinal cohort study. In recent years, the community-based Framingham Heart Study has embarked on genome-wide association studies. In this paper, we present a Fr...

    Authors: Wensheng Zhu, Kelly Cho, Xiang Chen, Meizhuo Zhang, Minghui Wang and Heping Zhang
    Citation: BMC Proceedings 2009 3(Suppl 7):S119
  19. The power of linkage analysis of a quantitative disease endophenotype was compared for the following family selection designs: 1) Random samples: randomly chosen nuclear families, 2) "coronary artery calcifica...

    Authors: Chengrui Huang, Ke Li, Rose Saint Fleur, Su-Wei Chang, Seung Hoan Choi, Tong Shen, So Youn Shin, Stephen J Finch and Nancy R Mendell
    Citation: BMC Proceedings 2009 3(Suppl 7):S120
  20. Methods exist to appropriately perform association analyses in pedigrees. However, for genome-wide association analysis, these methods are computationally impractical. It is therefore important to determine al...

    Authors: Stacey Knight, Ryan P Abo, Jathine Wong, Alun Thomas and Nicola J Camp
    Citation: BMC Proceedings 2009 3(Suppl 7):S121
  21. We used Genetic Analysis Workshop 16 Problem 3 Framingham Heart Study simulated data set to compare methods for association analysis of quantitative traits in related individuals. More specifically, we investi...

    Authors: Aude Saint Pierre, Zulma Vitezica and Maria Martinez
    Citation: BMC Proceedings 2009 3(Suppl 7):S122
  22. We investigated efficient case-control association analysis using family data. The outcome of interest was coronary heart disease. We employed existing and new methods that take into account the correlations a...

    Authors: Hae-Won Uh, Henk Jan van der Wijk and Jeanine J Houwing-Duistermaat
    Citation: BMC Proceedings 2009 3(Suppl 7):S123
  23. We propose to use the rough set theory to identify genes affecting rheumatoid arthritis risk from the data collected by the North American Rheumatoid Arthritis Consortium. For each gene, we employ generalized ...

    Authors: Chatchawit Aporntewan, David H Ballard, Ji Young Lee, Joon Sang Lee, Zheyang Wu and Hongyu Zhao
    Citation: BMC Proceedings 2009 3(Suppl 7):S126
  24. Due to the high-dimensionality of single-nucleotide polymorphism (SNP) data, region-based methods are an attractive approach to the identification of genetic variation associated with a certain phenotype. A co...

    Authors: Jennifer L Asimit, Yun Joo Yoo, Daryl Waggott, Lei Sun and Shelley B Bull
    Citation: BMC Proceedings 2009 3(Suppl 7):S127
  25. Evaluation of the association between single-nucleotide polymorphisms (SNPs) and disease outcomes is widely used to identify genetic risk factors for complex diseases. Although this analysis paradigm has made ...

    Authors: Joseph Beyene, Pingzhao Hu, Jemila S Hamid, Elena Parkhomenko, Andrew D Paterson and David Tritchler
    Citation: BMC Proceedings 2009 3(Suppl 7):S128
  26. Multivariate techniques are an important area of investigation for studying contributions of multiple genetic variants to disease onset and pathology. We analyzed the Genetic Analysis Workshop 16 North America...

    Authors: Mary Helen Black and Richard M Watanabe
    Citation: BMC Proceedings 2009 3(Suppl 7):S129
  27. Genome-wide association studies are widely used today to discover genetic factors that modify the risk of complex diseases. Usually, these methods work in a SNP-by-SNP fashion. We present a gene-based test tha...

    Authors: Alfonso Buil, Angel Martinez-Perez, Alexandre Perera-Lluna, Leonor Rib, Pere Caminal and Jose Manuel Soria
    Citation: BMC Proceedings 2009 3(Suppl 7):S130
  28. Established loci for rheumatoid arthritis (RA), including HLA-DRB1 and PTPN22, do not fully account for the genetic component of susceptibility to the disease. One possible source of as yet undiscovered susceptib...

    Authors: Andrew P Morris, Eleftheria Zeggini and Cecilia M Lindgren
    Citation: BMC Proceedings 2009 3(Suppl 7):S131
  29. The genes PTPN22 and HLA-DRB1 have been found by a number of studies to confer an increased risk for rheumatoid arthritis (RA), which indicates that both genes play an important role in RA etiology. It is believe...

    Authors: Bo Qiao, Chien Hsun Huang, Lei Cong, Jun Xie, Shaw-Hwa Lo and Tian Zheng
    Citation: BMC Proceedings 2009 3(Suppl 7):S132
  30. In this paper we test for association between copy number variation and diabetes in a subset of individuals from the Framingham Heart Study. We used the 500 k SNP data and called copy number variation using tw...

    Authors: Corina Shtir, Roger Pique-Regi, Kim Siegmund, John Morrison, Fredrick Schumacher and Paul Marjoram
    Citation: BMC Proceedings 2009 3(Suppl 7):S133
  31. Genome-wide association studies, which analyzes hundreds of thousands of single-nucleotide polymorphisms to identify disease susceptibility genes, are challenging because the work involves intensive computatio...

    Authors: Hsin-Chou Yang, Yu-Jen Liang, Chia-Min Chung, Jia-Wei Chen and Wen-Harn Pan
    Citation: BMC Proceedings 2009 3(Suppl 7):S135

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