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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

    We present a method for using slopes and intercepts from a linear regression of a quantitative trait as outcomes in segregation and linkage analyses. We apply the method to the analysis of longitudinal systoli...

    Authors: Conway Gee, John L Morrison, Duncan C Thomas and W James Gauderman

    Citation: BMC Genetics 2003 4(Suppl 1):S21

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  2. Content type: Proceedings

    To compare different strategies for linkage analyses of longitudinal quantitative trait measures, we applied the "revisited" Haseman-Elston (RHE) regression model (the cross product of centered sib-pair trait ...

    Authors: Lucia Mirea, Shelley B Bull and James Stafford

    Citation: BMC Genetics 2003 4(Suppl 1):S23

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  3. Content type: Proceedings

    Longitudinal data often have multiple (repeated) measures recorded along a time trajectory. For example, the two cohorts from the Framingham Heart Study (GAW13 Problem 1) contain 21 and 5 repeated measures for...

    Authors: Shaoqi Rao, Lin Li, Xia Li, Kathy L Moser, Zheng Guo, Gongqing Shen, Ruth Cannata, Erich Zirzow, Eric J Topol and Qing Wang

    Citation: BMC Genetics 2003 4(Suppl 1):S24

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  4. Content type: Proceedings

    The design of appropriate strategies to analyze and interpret linkage results for complex human diseases constitutes a challenge. Parameters such as power, definition of phenotype, and replicability have to be...

    Authors: Neil Shephard, Milena Falcaro, Eleftheria Zeggini, Philip Chapman, Anne Hinks, Anne Barton, Jane Worthington, Andrew Pickles and Sally John

    Citation: BMC Genetics 2003 4(Suppl 1):S26

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  5. Content type: Proceedings

    We propose a statistical model for linkage analysis of the longitudinal data. The proposed model is a mixed model based on the new Haseman and Elston model and allows several random effects. Specifically, the ...

    Authors: Young Ju Suh, Taesung Park and Soo Yeon Cheong

    Citation: BMC Genetics 2003 4(Suppl 1):S27

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  6. Content type: Proceedings

    The Framingham Heart Study is a very successful longitudinal research for cardiovascular diseases. The completion of a 10-cM genome scan in Framingham families provided an opportunity to evaluate linkage using...

    Authors: Dai Wang, Xiaohui Li, Ying-Chao Lin, Kai Yang, Xiuqing Guo and Huiying Yang

    Citation: BMC Genetics 2003 4(Suppl 1):S28

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  7. Content type: Proceedings

    We explored three approaches to heritability and linkage analyses of longitudinal total cholesterol levels (CHOL) in the Genetic Analysis Workshop 13 simulated data without knowing the answers. The first two w...

    Authors: Qiong Yang, Irmarie Chazaro, Jing Cui, Chao-Yu Guo, Serkalem Demissie, Martin Larson, Larry D Atwood, L Adrienne Cupples and Anita L DeStefano

    Citation: BMC Genetics 2003 4(Suppl 1):S29

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  8. Content type: Proceedings

    The repeated measures in the Framingham Heart Study in the Genetic Analysis Workshop 13 data set allow us to test for consistency of linkage results within a study across time. We compared regression-based lin...

    Authors: Larry D Atwood, Nancy L Heard-Costa, L Adrienne Cupples and Daniel Levy

    Citation: BMC Genetics 2003 4(Suppl 1):S30

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  9. Content type: Proceedings

    With the availability of longitudinal data, age-specific (stratified) or age-adjusted genetic analyses have the potential to localize different putative trait influencing loci. If age does not influence the lo...

    Authors: Stephanie R Beck, W Mark Brown, Adrienne H Williams, June Pierce, Stephen S Rich and Carl D Langefeld

    Citation: BMC Genetics 2003 4(Suppl 1):S31

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  10. Content type: Proceedings

    The Framingham Heart Study provides a unique source of longitudinal family data related to CVD risk factors. Age-stratified heritability estimates were obtained over three age groups (31–49 years, 50–60 years,...

    Authors: W Mark Brown, Stephanie R Beck, Ethan M Lange, Cralen C Davis, Christine M Kay, Carl D Langefeld and Stephen S Rich

    Citation: BMC Genetics 2003 4(Suppl 1):S32

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  11. Content type: Proceedings

    Using univariate and multivariate variance components linkage analysis methods, we studied possible genotype × age interaction in cardiovascular phenotypes related to the aging process from the Framingham Hear...

    Authors: Vincent P Diego, Laura Almasy, Thomas D Dyer, Júlia MP Soler and John Blangero

    Citation: BMC Genetics 2003 4(Suppl 1):S34

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  12. Content type: Proceedings

    To evaluate linkage evidence for body mass index (BMI) using both cross-sectional and longitudinal data, we performed genome-wide multipoint linkage analyses on subjects who had complete data at four selected ...

    Authors: Xiaohui Li, Dai Wang, Kai Yang, Xiuqing Guo, Ying-chao Lin, Carlos G Samayoa and Huiying Yang

    Citation: BMC Genetics 2003 4(Suppl 1):S35

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  13. Content type: Proceedings

    Several different approaches can be used to examine generational and temporal trends in family studies. The measurement of offspring and parents can be made over a short period of time with parents and offspri...

    Authors: Rasika A Mathias, Marie-Hélène Roy-Gagnon, Cristina M Justice, George J Papanicolaou, Yu Ti Fan, Elizabeth W Pugh and Alexander F Wilson

    Citation: BMC Genetics 2003 4(Suppl 1):S36

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  14. Content type: Proceedings

    Informative missingness of parental genotype data occurs when the genotype of a parent influences the probability of the parent's genotype data being observed. Informative missingness can occur in a number of ...

    Authors: Andrew S Allen, Julianne S Collins, Paul J Rathouz, Craig L Selander and Glen A Satten

    Citation: BMC Genetics 2003 4(Suppl 1):S39

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