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449 research outcomes, page 4 of 45
  • publication . Article . 2009
    Open Access
    Authors:
    Roslin, Nicole M.; Hamid, Jemila S.; Andrew Paterson; Beyene, Joseph;
    Publisher: Springer Nature
    Project: NSERC , CIHR , NIH | Genetic Analysis of Commo... (5R01GM031575-22)

    <p>Abstract</p> <p>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 independent individuals from the Framingham ...

  • publication . Article . 2014
    Open Access
    Authors:
    Alsulami, Huda; Liu, Xiaofeng; Beyene, Joseph;
    Publisher: Springer Science and Business Media LLC
    Project: NIH | Identifying T2D Variants ... (1U01DK085584-01), NIH | Identification and Replic... (5U01DK085501-02), NIH | Discovery of Functional V... (5U01DK085524-05), CIHR , NIH | Genetic Analysis of Commo... (5R01GM031575-22), NIH | GENETICS OF GALLBLADDER D... (5R01DK053889-04), NIH | Multiethnic Study of Type... (5U01DK085526-05), NIH | Identifying variants caus... (5U01DK085545-02), NIH | NIDDM Susceptibility Gene... (5R01DK047482-13)

    Our goal is to test the effect of both rare and common variants in a blood pressure study. We use a pathway-based approach, gene-set enrichment analysis, to search for related genes affecting 4 phenotypes: systolic blood pressure, diastolic blood pressure, the differenc...

  • publication . Article . 2009
    Open Access English
    Authors:
    Manning, Alisa K; Ngwa, Julius Suh; Hendricks, Audrey E; Liu, Ching-Ti; Johnson, Andrew D; Dupuis, Josée; Cupples, L Adrienne;
    Publisher: Springer Nature
    Project: NIH | Genetic Analysis of Commo... (5R01GM031575-22)

    <p>Abstract</p> <p>We sought to find significant gene × gene interaction in a genome-wide association analysis of rheumatoid arthritis (RA) by performing pair-wise tests of interaction among collections of single-nucleotide polymorphisms (SNPs) obtained by one of two me...

  • publication . Article . 2010
    Open Access English
    Authors:
    Waaijenborg, Sandra; Zwinderman, Aeilko H;
    Publisher: BMC
    Project: NIH | Genetic Analysis of Commo... (5R01GM031575-22), NIH | THE FRAMINGHAM HEART STUD... (N01HC025195-005)

    <p>Abstract</p> <p>Background</p> <p>The causes of complex diseases are difficult to grasp since many different factors play a role in their onset. To find a common genetic background, many of the existing studies divide their population into controls and cases; a class...

  • publication . Article . Other literature type . 2003
    Open Access English
    Authors:
    Lisa Martin; North, K. E.; Dyer, T.; Blangero, J.; Comuzzie, A. G.; Williams, J.;
    Publisher: BioMed Central
    Project: NIH | LIPID BIOCHEMISTRY--CORE (5P01HL028972-04), NIH | Genetic Analysis of Commo... (5R01GM031575-22), NIH | QUANTITATIVE TRAIT LOCUS ... (5R01MH059490-02), NIH | CORE--FIELD AND CLINIC OP... (5P01HL045522-10)

    <p>Abstract</p> <p>Background</p> <p>Insulin resistance, obesity, dyslipidemia, and high blood pressure characterize the metabolic syndrome. In an effort to explore the utility of different multivariate methods of data reduction to better understand the genetic influenc...

  • publication . Article . Other literature type . 2016
    Open Access English
    Authors:
    Chiu, Yen-Feng; Justice, Anne E.; Melton, Phillip E.;
    Publisher: BioMed Central
    Project: NIH | Genetic Analysis of Commo... (5R01GM031575-22)

    Abstract Background Longitudinal phenotypic data provides a rich potential resource for genetic studies which may allow for greater understanding of variants and their covariates over time. Herein, we review 3 longitudinal analytical approaches from the Genetic Analysis...

  • publication . Article . 2009
    Open Access
    Authors:
    Arshadi, Niloofar; Chang, Billy; Kustra, Rafal;
    Publisher: Springer Nature
    Project: WT , NIH | Genetic Analysis of Commo... (5R01GM031575-22)

    In this paper, we apply the gradient-boosting machine predictive model to the rheumatoid arthritis data for predicting the case-control status. QQ-plot suggests severe population stratification. In univariate genome-wide association studies, a correction factor for ethn...

  • publication . Article . 2014
    Open Access English
    Authors:
    Zakharov, Sergii; Teoh, Garrett HK; Salim, Agus; Thalamuthu, Anbupalam;
    Publisher: BioMed Central
    Project: NIH | Genetic Analysis of Commo... (5R01GM031575-22), NIH | QUANTITATIVE TRAIT LOCUS ... (5R01MH059490-02)

    Background The interest of the scientific community in investigating the impact of rare variants on complex traits has stimulated the development of novel statistical methodologies for association studies. The fact that many of the recently proposed methods for associat...

  • publication . Article . 2011
    Open Access English
    Authors:
    Ayers, Kristin L; Mamasoula, Chrysovalanto; Cordell, Heather J;
    Publisher: Springer Nature
    Project: NIH | Genetic Analysis of Commo... (5R01GM031575-22), WT

    <p>Abstract</p> <p>Testing for association between multiple markers and a phenotype can not only capture untyped causal variants in weak linkage disequilibrium with nearby typed markers but also identify the effect of a combination of markers. We propose a sliding windo...

  • publication . Article . 2017
    Open Access English
    Authors:
    Espin‐Garcia, Osvaldo; Craiu, Radu V.; Bull, Shelley B.;
    Publisher: John Wiley and Sons Inc.
    Project: NIH | Discovery of Functional V... (5U01DK085524-05), NIH | Identifying T2D Variants ... (1U01DK085584-01), NIH | Identification and Replic... (5U01DK085501-02), CIHR , NIH | GENETICS OF GALLBLADDER D... (5R01DK053889-04), NIH | Identifying variants caus... (5U01DK085545-02), NIH | Genetic Analysis of Commo... (5R01GM031575-22), NIH | Multiethnic Study of Type... (5U01DK085526-05), NIH | NIDDM Susceptibility Gene... (5R01DK047482-13)

    ABSTRACT We evaluate two‐phase designs to follow‐up findings from genome‐wide association study (GWAS) when the cost of regional sequencing in the entire cohort is prohibitive. We develop novel expectation‐maximization‐based inference under a semiparametric maximum like...

449 research outcomes, page 4 of 45
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