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449 research outcomes, page 1 of 45
  • publication . Article . 2018
    Open Access
    Authors:
    Papachristou, Charalampos; Ober, Carole; Abney, Mark;
    Publisher: Springer Nature
    Project: NIH | Genetic Analysis of Commo... (5R01GM031575-22), NIH | Genomic Studies of Sex-Sp... (5R01HL085197-07)

    We propose a novel LASSO (least absolute shrinkage and selection operator) penalized regression method used to analyze samples consisting of (potentially) related individuals. Developed in the context of linear mixed models, our method models the relatedness of individu...

  • publication . Article . Conference object . 2009
    Open Access
    Authors:
    Morris, Andrew P; Zeggini, Eleftheria; Lindgren, Cecilia M;
    Publisher: Springer Nature
    Project: NIH | Genetic Analysis of Commo... (5R01GM031575-22), WT

    <p>Abstract</p> <p>Established loci for rheumatoid arthritis (RA), including <it>HLA-DRB1 </it>and <it>PTPN22</it>, do not fully account for the genetic component of susceptibility to the disease. One possible source of as yet undiscovered susceptibility genes are those...

  • publication . Article . 2011
    Open Access
    Authors:
    Lamina, Claudia;
    Publisher: Springer Science and Business Media LLC
    Project: NIH | Genetic Analysis of Commo... (5R01GM031575-22)

    <p>Abstract</p> <p>The common disease/rare variant hypothesis predicts that rare variants with large effects will have a strong impact on corresponding phenotypes. Therefore it is assumed that rare functional variants are enriched in the extremes of the phenotype distri...

  • publication . Article . 2009
    Open Access
    Authors:
    Lu, Qing; Song, Yeunjoo; Wang, Xuefeng; Won, Sungho; Cui, Yuehua; Elston, Robert C;
    Publisher: Springer Nature
    Project: WT , NIH | Genetic Analysis of Commo... (5R01GM031575-22), NSF | Statistical methods for m... (0707031), NIH | Case Comprehensive Cancer... (3P30CA043703-20S1)

    While recently performed genome-wide association studies have advanced the identification of genetic variants predisposing to type 2 diabetes (T2D), the potential application of these novel findings for disease prediction and prevention has not been well studied. Diabet...

  • publication . Article . 2014
    Open Access English
    Authors:
    Wang, Heming; Zhu, Xiaofeng;
    Publisher: BioMed Central
    Project: NIH | Discovery of Functional V... (5U01DK085524-05), NIH | Identifying T2D Variants ... (1U01DK085584-01), NIH | Identification and Replic... (5U01DK085501-02), NIH | Multiethnic Study of Type... (5U01DK085526-05), NIH | Fine Mapping of Hypertens... (5R01HL086718-05), NIH | Genetic Analysis of Commo... (5R01GM031575-22), NIH | GENETICS OF GALLBLADDER D... (5R01DK053889-04), NIH | Genetics of Hypertension ... (5R01HL053353-15), NIH | Identifying variants caus... (5U01DK085545-02), NIH | NIDDM Susceptibility Gene... (5R01DK047482-13)

    De novo mutations enrich the sequence diversity and carry the clue of evolutional selection. Recent studies suggest the de novo mutations could be one of the risk factors for complex diseases. We conducted a survey of de novo mutations using the whole genome sequence da...

  • publication . Article . 2016
    Open Access
    Authors:
    Phillip Melton; Jm, Peralta; Almasy L;
    Publisher: Springer Nature
    Project: NIH | Genetic Analysis of Commo... (5R01GM031575-22)

    Background The incorporation of longitudinal data into genetic epidemiological studies has the potential to provide valuable information regarding the effect of time on complex disease etiology. Yet, the majority of research focuses on variables collected from a single ...

  • publication . Article . 2016
    Open Access
    Authors:
    Kent, Jack W.;
    Publisher: Springer Science and Business Media LLC
    Project: NIH | Gene Networks for Differe... (1R01DK084289-01A2), NIH | Genetic Analysis of Commo... (5R01GM031575-22)

    Background New technologies for acquisition of genomic data, while offering unprecedented opportunities for genetic discovery, also impose severe burdens of interpretation andpenalties for multiple testing. Methods The Pathway-based Analyses Group of the Genetic Analysi...

  • publication . Article . 2014
    Open Access
    Authors:
    Balliu, Brunilda; Uh, Hae-Won; Tsonaka, Roula; Boehringer, Stefan; Helmer, Quinta; Houwing-Duistermaat, Jeanine J;
    Publisher: Springer Science and Business Media LLC
    Project: NIH | Discovery of Functional V... (5U01DK085524-05), NIH | NIDDM Susceptibility Gene... (5R01DK047482-13), NIH | Identifying T2D Variants ... (1U01DK085584-01), NIH | Identification and Replic... (5U01DK085501-02), NIH | Multiethnic Study of Type... (5U01DK085526-05), NIH | Genetic Analysis of Commo... (5R01GM031575-22), EC | MIMOMICS (305280), NIH | GENETICS OF GALLBLADDER D... (5R01DK053889-04), NIH | Identifying variants caus... (5U01DK085545-02)

    In this analysis, we investigate the contributions that linkage-based methods, such as identical-by-descent mapping, can make to association mapping to identify rare variants in next-generation sequencing data. First, we identify regions in which cases share more segmen...

  • publication . Article . Conference object . 2011
    Open Access English
    Authors:
    Wei Yang;
    Publisher: BioMed Central
    Project: NIH | Genetic Analysis of Commo... (5R01GM031575-22), NIH | VARIABLE SELECTION IN GEN... (1R01HL091028-01A1), NIH | Genetic Determinants of t... (5R01HL071782-02)

    <p>Abstract</p> <p>New high-throughput sequencing technologies have brought forth opportunities for unbiased analysis of thousands of rare genomic variants in genome-wide association studies of complex diseases. Because it is hard to detect single rare variants with app...

  • publication . Article . 2009
    Open Access English
    Authors:
    Fridley Brooke L; McDonnell Shannon K; Rabe Kari G; Tang Rui; Biernacka Joanna M; Sinnwell Jason P; Rider David N; Goode Ellen L;
    Publisher: BioMed Central
    Project: NIH | Genetic Analysis of Commo... (5R01GM031575-22), NIH | Genetic Variation in the ... (5R01CA122443-06)

    <p>Abstract</p> <p>Due to the growing need to combine data across multiple studies and to impute untyped markers based on a reference sample, several analytical tools for imputation and analysis of missing genotypes have been developed. Current imputation methods rely o...

449 research outcomes, page 1 of 45
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