Filters (2 )
  • Access Mode (1)
    Clear
  • Research Type (4)
    Clear
  • Funder (8)
  • Project (100)
    Clear
  • Type (5)
  • Language (1)
  • Content Provider (53)
  • Access Mode (1)
    Clear
  • Research Type (4)
    Clear
  • Funder (8)
  • Project (100)
    Clear
  • Type (5)
  • Language (1)
  • Content Provider (53)
Download Results
448 research outcomes, page 1 of 45
  • publication . Article . 2011
    Open Access
    Authors:
    Scholz, Markus; Kirsten, Holger;
    Publisher: Springer Science and Business Media LLC
    Project: NIH | Genetic Analysis of Commo... (5R01GM031575-22)

    Rare causal variants are believed to significantly contribute to the genetic basis of common diseases or quantitative traits. Appropriate statistical methods are required to discover the highest possible number of disease-relevant variants in a genome-wide screening stu...

  • publication . Article . 2014
    Open Access English
    Authors:
    Jian Wang; Robert Yu; Sanjay Shete;
    Publisher: BioMed Central
    Project: NIH | Genetic Analysis of Commo... (5R01GM031575-22), NIH | Identifying variants caus... (5U01DK085545-02), NIH | GENETICS OF GALLBLADDER D... (5R01DK053889-04), NIH | Discovery of Functional V... (5U01DK085524-05), NIH | Identification and Replic... (5U01DK085501-02), NIH | Genome Wide Association S... (5R01CA131324-04), NIH | Multiethnic Study of Type... (5U01DK085526-05), NIH | Identifying T2D Variants ... (1U01DK085584-01), NIH | NIDDM Susceptibility Gene... (5R01DK047482-13)

    Identifying genetic variants associated with complex diseases is an important task in genetic research. Although association studies based on unrelated individuals (ie, case-control genome-wide association studies) have successfully identified common single-nucleotide p...

  • publication . Article . 2009
    Open Access English
    Authors:
    Chao Xing; Guan Xing;
    Publisher: BioMed Central
    Project: NIH | Genetic Analysis of Commo... (5R01GM031575-22), NIH | NORTH AND CENTRAL TEXAS C... (1UL1RR024982-01)

    <p>Abstract</p> <p>The selective genotyping approach in quantitative genetics means genotyping only individuals with extreme phenotypes. This approach is considered an efficient way to perform gene mapping, and can be applied in both linkage and association studies. Sel...

  • publication . Article . 2019
    Open Access
    Authors:
    Saad, Mohamed N.; Mabrouk, Mai S.; Eldeib, Ayman M.; Shaker, Olfat G.;
    Publisher: Elsevier BV
    Project: NIH | Genetic Analysis of Commo... (5R01GM031575-22), NIH | NARAC The Genetics of Rhe... (5R01AR044422-10)

    Graphical abstract

  • publication . Article . 2009
    Open Access
    Authors:
    Deshmukh Harshal; Kim-Howard Xana; Nath Swapan K;
    Publisher: Springer Nature
    Project: NIH | Identifying the novel SLE... (5R01AI063622-05), NIH | Genetic Analysis of Commo... (5R01GM031575-22)

    <p>Abstract</p> <p>Many autoimmune diseases share similar underlying pathology and have a tendency to cluster within families, giving rise to the concept of shared susceptibility genes among them. In the Genetic Analysis Workshop 16 rheumatoid arthritis (RA) data we sou...

  • publication . Article . 2018
    Open Access English
    Authors:
    Xuexia Wang; Felix Boekstegers; Regina Brinster;
    Publisher: BioMed Central
    Project: NIH | Genetic Analysis of Commo... (5R01GM031575-22)

    Background: This paper summarizes the contributions from the Genome-wide Association Study group (GWAS group) of the GAW20. The GWAS group contributions focused on topics such as association tests, phenotype imputation, and application of empirical kinships. The goals o...

  • publication . Article . Conference object . 2014
    Open Access English
    Authors:
    David Fardo;
    Publisher: Springer Nature
    Project: NIH | Discovery of Functional V... (5U01DK085524-05), NIH | KY IDeA Networks of Biome... (8P20GM103436-12), NIH | Identification and Replic... (5U01DK085501-02), NIH | Statistical Genetics Meth... (5K25AG043546-02), NIH | Identifying variants caus... (5U01DK085545-02), NIH | Identifying T2D Variants ... (1U01DK085584-01), NIH | NIDDM Susceptibility Gene... (5R01DK047482-13), NIH | Multiethnic Study of Type... (5U01DK085526-05), NIH | GENETICS OF GALLBLADDER D... (5R01DK053889-04), NIH | Genetic Analysis of Commo... (5R01GM031575-22)

    Large-scale genetic studies are often composed of related participants, and utilizing familial relationships can be cumbersome and computationally challenging. We present an approach to efficiently handle sequencing data from complex pedigrees that incorporates informat...

  • publication . Article . 2016
    Open Access English
    Authors:
    Mohamad Saad; Alejandro Q. Nato; Fiona L. Grimson; Steven M. Lewis; Lisa A. Brown; Elizabeth M. Blue; Timothy A. Thornton; Elizabeth A. Thompson; Ellen M. Wijsman;
    Publisher: BioMed Central
    Project: NIH | ALZHEIMERS DISEASE RESEAR... (5P50AG005136-21), NIH | Methods for the Genetic E... (5R37GM046255-21), NIH | 2/3 Sequencing Autism Spe... (4R01MH094293-05), NIH | Sequence-based Discovery ... (5U01AG049507-03), NIH | Genetic Analysis of Commo... (5R01GM031575-22), NIH | Next Generation Mendelian... (5R01AG039700-05), NIH | Identifying Alzheimers di... (1K99AG040184-01)

    Background In the past few years, imputation approaches have been mainly used in population-based designs of genome-wide association studies, although both family- and population-based imputation methods have been proposed. With the recent surge of family-based designs,...

  • publication . Article . Other literature type . Preprint . 2019
    Open Access
    Authors:
    Zhang, Jianjun; Wu, Baolin; Sha, Qiuying; Zhang, Shuanglin; Wang, Xuexia;
    Publisher: Wiley
    Project: NIH | Genetic Analysis of Commo... (5R01GM031575-22), NIH | Statistical Methods for R... (1R15HG008209-01A1)

    <jats:title>Abstract</jats:title><jats:p>Both genome-wide association study and next generation sequencing data analyses are widely employed in order to identify disease susceptible common and/or rare genetic variants in many large scale genetic studies. Rare variants g...

  • publication . Article . 2010
    Open Access English
    Authors:
    Yixuan Chen; Xin Li; Jing Li;
    Publisher: Springer Nature
    Project: NIH | HUMAN GENETIC ANALYSIS RE... (3P41RR003655-11S1), NIH | Genetic Analysis of Commo... (5R01GM031575-22), NIH | FAMILIAL AND BIRTH COHORT... (5R01AG021917-07), NIH | Multi-point and multi-loc... (5R01LM008991-05)

    Background Haplotype-based approaches have been extensively studied for case-control association mapping in recent years. It has been shown that haplotype methods can provide more consistent results comparing to single-locus based approaches, especially in cases where c...

448 research outcomes, page 1 of 45
Last index information