Volume 4 Supplement 1

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


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, USA

November 11-14, 2002

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  1. Proceedings

    Quantitative trait linkage analysis of longitudinal change in body weight

    One of the great strengths of the Framingham Heart Study data, provided for the Genetic Analysis Workshop 13, is the long-term survey of phenotypic data. We used this unique data to create new phenotypes repre...

    Astrid Golla, Konstantin Strauch, Johannes Dietter and Max P Baur

    BMC Genetics 2003 4(Suppl 1):S7

    Published on: 31 December 2003

  2. Proceedings

    Genome-wide linkage analysis of longitudinal phenotypes using σ2A random effects (SSARs) fitted by Gibbs sampling

    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...

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

    BMC Genetics 2003 4(Suppl 1):S12

    Published on: 31 December 2003

  3. Proceedings

    The genetics of cross-sectional and longitudinal body mass index

    There has been a lack of consistency in detecting chromosomal loci that are linked to obesity-related traits. This may be due, in part, to the phenotype definition. Many studies use a one-time, single measurem...

    Lisa Strug, Lei Sun and Mary Corey

    BMC Genetics 2003 4(Suppl 1):S14

    Published on: 31 December 2003

  4. Proceedings

    Empirically derived phenotypic subgroups – qualitative and quantitative trait analyses

    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...

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

    BMC Genetics 2003 4(Suppl 1):S15

    Published on: 31 December 2003

  5. Proceedings

    Power of maximum HLOD tests to detect linkage to obesity genes

    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 ...

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

    BMC Genetics 2003 4(Suppl 1):S16

    Published on: 31 December 2003

  6. Proceedings

    Analysis of gene × environment interactions in sibships using mixed models

    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...

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

    BMC Genetics 2003 4(Suppl 1):S18

    Published on: 31 December 2003

  7. Proceedings

    Comparison of the linkage results of two phenotypic constructs from longitudinal data in the Framingham Heart Study: analyses on data measured at three time points and on the average of three measurements

    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...

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

    BMC Genetics 2003 4(Suppl 1):S20

    Published on: 31 December 2003

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