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Volume 4 Supplement 1

Genetic Analysis Workshop 13: Analysis of Longitudinal Family Data for Complex Diseases and Related Risk Factors

Proceedings

Edited by Laura Almasy, Christopher I Amos, Joan E Bailey-Wilson, Rita M Cantor, Cashell E Jaquish, Maria Martinez, Rosalind J Neuman, Jane M Olson, Lyle J Palmer, Stephen S Rich, M Anne Spence, Jean W MacCluer

Genetic Analysis Workshop 13: Analysis of Longitudinal Family Data for Complex Diseases and Related Risk Factors. Go to conference site.

New Orleans, LA, USANovember 11-14, 2002

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  1. Content type: Proceedings

    The Genetic Analysis Workshop 13 simulated data aimed to mimic the major features of the real Framingham Heart Study data that formed Problem 1, but under a known inheritance model and with 100 replicates, so ...

    Authors: E Warwick Daw, John Morrison, Xiaojun Zhou and Duncan C Thomas

    Citation: BMC Genetics 2003 4(Suppl 1):S3

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  2. Content type: Proceedings

    We performed variance components linkage analysis in nuclear families from the Framingham Heart Study on nine phenotypes derived from systolic blood pressure (SBP). The phenotypes were the maximum and mean SBP...

    Authors: Martyn C Byng, Sheila A Fisher, Cathryn M Lewis and John C Whittaker

    Citation: BMC Genetics 2003 4(Suppl 1):S4

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  3. Content type: Proceedings

    A genome-wide screen was conducted for type 2 diabetes progression genes using measures of elevated fasting glucose levels as quantitative traits from the offspring enrolled in the Framingham Heart Study. We a...

    Authors: Gyungah Jun, Yeunjoo Song, Catherine M Stein and Sudha K Iyengar

    Citation: BMC Genetics 2003 4(Suppl 1):S8

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  4. Content type: Proceedings

    The genetic regulation of variation in intra-individual fluctuations in systolic blood pressure over time is poorly understood. Analysis of the magnitude of the average fluctuation of a person's systolic blood...

    Authors: Jennifer Lin, Anthony Hinrichs and Brian K Suarez

    Citation: BMC Genetics 2003 4(Suppl 1):S11

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  5. Content type: Proceedings

    The study of change in intermediate phenotypes over time is important in genetics. In this paper we explore a new approach to phenotype definition in the genetic analysis of longitudinal phenotypes. We utilize...

    Authors: Lyle J Palmer, Katrina J Scurrah, Martin Tobin, Sanjay R Patel, Juan C Celedon, Paul R Burton and Scott T Weiss

    Citation: BMC Genetics 2003 4(Suppl 1):S12

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  6. Content type: Proceedings

    The Framingham Heart Study has contributed a great deal to advances in medicine. Most of the phenotypes investigated have been univariate traits (quantitative or qualitative). The aims of this study are to der...

    Authors: Marsha A Wilcox, Diego F Wyszynski, Carolien I Panhuysen, Qianli Ma, Agustin Yip, John Farrell and Lindsay A Farrer

    Citation: BMC Genetics 2003 4(Suppl 1):S15

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  7. Content type: Proceedings

    We investigate the power of heterogeneity LOD test to detect linkage when a trait is determined by several major genes using Genetic Analysis Workshop 13 simulated data. We consider three traits, two of which ...

    Authors: Yun Joo Yoo, Yanling Huo, Yuming Ning, Derek Gordon, Stephen Finch and Nancy R Mendell

    Citation: BMC Genetics 2003 4(Suppl 1):S16

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  8. Content type: Proceedings

    We compare two methods to detect genetic linkage by using serial observations of systolic blood pressure in pedigree data from the Framingham Heart Study focusing on chromosome 17. The first method is a varian...

    Authors: Mariza de Andrade and Curtis Olswold

    Citation: BMC Genetics 2003 4(Suppl 1):S17

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  9. Content type: Proceedings

    Gene × environment models are widely used to assess genetic and environmental risks and their association with a phenotype of interest for many complex diseases. Mixed generalized linear models were used to as...

    Authors: Jill S Barnholtz-Sloan, Laila M Poisson, Steven W Coon, Gary A Chase and Benjamin A Rybicki

    Citation: BMC Genetics 2003 4(Suppl 1):S18

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  10. Content type: Proceedings

    Family studies are often conducted in a cross-sectional manner without long-term follow-up data. The relative contribution of a gene to a specific trait could change over the lifetime. The Framingham Heart Stu...

    Authors: Rong Cheng, Naeun Park, Susan E Hodge and Suh-Hang Hank Juo

    Citation: BMC Genetics 2003 4(Suppl 1):S20

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