Ngā hua rapu - Iuliana Ionita‐Laza

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  1. 1
    Estimating the number of unseen variants in the human genome

    Estimating the number of unseen variants in the human genome mā Iuliana Ionita‐Laza, Christoph Lange, Nan M. Laird

    I whakaputaina 2009
    Whiwhi kuputuhi katoa
    Artigo
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  2. 2
    Scan-Statistic Approach Identifies Clusters of Rare Disease Variants in LRP2, a Gene Linked and Associated with Autism Spectrum Disorders, in Three Datasets

    Scan-Statistic Approach Identifies Clusters of Rare Disease Variants in LRP2, a Gene Linked and Associated with Autism Spectrum Disorders, in Three Datasets mā Iuliana Ionita‐Laza, Vlad Makarov, Joseph D. Buxbaum

    I whakaputaina 2012
    Whiwhi kuputuhi katoa
    Artigo
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  3. 3
    Unified Sequence-Based Association Tests Allowing for Multiple Functional Annotations and Meta-analysis of Noncoding Variation in Metabochip Data

    Unified Sequence-Based Association Tests Allowing for Multiple Functional Annotations and Meta-analysis of Noncoding Variation in Metabochip Data mā Zihuai He, Bin Xu, Seunggeun Lee, Iuliana Ionita‐Laza

    I whakaputaina 2017
    Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa
    Artigo
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  4. 4
    A semi-supervised approach for predicting cell-type specific functional consequences of non-coding variation using MPRAs

    A semi-supervised approach for predicting cell-type specific functional consequences of non-coding variation using MPRAs mā Zihuai He, Linxi Liu, Kai Wang, Iuliana Ionita‐Laza

    I whakaputaina 2018
    Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa
    Artigo
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  5. 5
    A genome-wide scan statistic framework for whole-genome sequence data analysis

    A genome-wide scan statistic framework for whole-genome sequence data analysis mā Zihuai He, Bin Xu, Joseph D. Buxbaum, Iuliana Ionita‐Laza

    I whakaputaina 2019
    Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa
    Artigo
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  6. 6
    A New Testing Strategy to Identify Rare Variants with Either Risk or Protective Effect on Disease

    A New Testing Strategy to Identify Rare Variants with Either Risk or Protective Effect on Disease mā Iuliana Ionita‐Laza, Joseph D. Buxbaum, Nan M. Laird, Christoph Lange

    I whakaputaina 2011
    Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa
    Artigo
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  7. 7
    Rare Variant Analysis for Family-Based Design

    Rare Variant Analysis for Family-Based Design mā Gourab De, Wai‐Ki Yip, Iuliana Ionita‐Laza, Nan M. Laird

    I whakaputaina 2013
    Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa
    Artigo
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  8. 8
    Genomewide Weighted Hypothesis Testing in Family-Based Association Studies, with an Application to a 100K Scan

    Genomewide Weighted Hypothesis Testing in Family-Based Association Studies, with an Application to a 100K Scan mā Iuliana Ionita‐Laza, Matthew B. McQueen, Nan M. Laird, Christoph Lange

    I whakaputaina 2007
    Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa
    Artigo
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  9. 9
    Family-based association tests for sequence data, and comparisons with population-based association tests

    Family-based association tests for sequence data, and comparisons with population-based association tests mā Iuliana Ionita‐Laza, Seunggeun Lee, Vladimir Makarov, Joseph D. Buxbaum, Xihong Lin

    I whakaputaina 2013
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    Artigo
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  10. 10
    Sequence Kernel Association Tests for the Combined Effect of Rare and Common Variants

    Sequence Kernel Association Tests for the Combined Effect of Rare and Common Variants mā Iuliana Ionita‐Laza, Seunggeun Lee, Vlad Makarov, Joseph D. Buxbaum, Xihong Lin

    I whakaputaina 2013
    Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa
    Artigo
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  11. 11
    A spectral approach integrating functional genomic annotations for coding and noncoding variants

    A spectral approach integrating functional genomic annotations for coding and noncoding variants mā Iuliana Ionita‐Laza, K. J. McCallum, Bin Xu, Joseph D. Buxbaum

    I whakaputaina 2016
    Whiwhi kuputuhi katoa
    Artigo
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  12. 12
    De Novo Synonymous Mutations in Regulatory Elements Contribute to the Genetic Etiology of Autism and Schizophrenia

    De Novo Synonymous Mutations in Regulatory Elements Contribute to the Genetic Etiology of Autism and Schizophrenia mā Atsushi Takata, Iuliana Ionita‐Laza, Joseph A. Gogos, Bin Xu, Maria Karayiorgou

    I whakaputaina 2016
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    Artigo
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  13. 13
    Genetic association analysis of copy-number variation (CNV) in human disease pathogenesis

    Genetic association analysis of copy-number variation (CNV) in human disease pathogenesis mā Iuliana Ionita‐Laza, Angela J. Rogers, Christoph Lange, Benjamin A. Raby, Charles Lee

    I whakaputaina 2008
    Whiwhi kuputuhi katoa
    Revisão
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  14. 14
    Identification of Rare Causal Variants in Sequence-Based Studies: Methods and Applications to VPS13B, a Gene Involved in Cohen Syndrome and Autism

    Identification of Rare Causal Variants in Sequence-Based Studies: Methods and Applications to VPS13B, a Gene Involved in Cohen Syndrome and Autism mā Iuliana Ionita‐Laza, Marinela Capanu, Silvia De Rubeis, K. J. McCallum, Joseph D. Buxbaum

    I whakaputaina 2014
    Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa
    Artigo
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  15. 15
    Loss-of-Function Variants in Schizophrenia Risk and SETD1A as a Candidate Susceptibility Gene

    Loss-of-Function Variants in Schizophrenia Risk and SETD1A as a Candidate Susceptibility Gene mā Atsushi Takata, Bin Xu, Iuliana Ionita‐Laza, Johannes L. Roos, Joseph A. Gogos, Maria Karayiorgou

    I whakaputaina 2014
    Whiwhi kuputuhi katoa
    Artigo
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  16. 16
    Finding Disease Variants in Mendelian Disorders By Using Sequence Data: Methods and Applications

    Finding Disease Variants in Mendelian Disorders By Using Sequence Data: Methods and Applications mā Iuliana Ionita‐Laza, Vlad Makarov, Seungtai Yoon, Benjamin A. Raby, Joseph D. Buxbaum, Dan L. Nicolae, Xihong Lin

    I whakaputaina 2011
    Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa
    Artigo
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  17. 17
    Scan statistic-based analysis of exome sequencing data identifies <i>FAN1</i> at 15q13.3 as a susceptibility gene for schizophrenia and autism

    Scan statistic-based analysis of exome sequencing data identifies <i>FAN1</i> at 15q13.3 as a susceptibility gene for schizophrenia and autism mā Iuliana Ionita‐Laza, Bin Xu, Vlad Makarov, Joseph D. Buxbaum, Johannes L. Roos, Joseph A. Gogos, Maria Karayiorgou

    I whakaputaina 2013
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    Artigo
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  18. 18
    De novo gene mutations highlight patterns of genetic and neural complexity in schizophrenia

    De novo gene mutations highlight patterns of genetic and neural complexity in schizophrenia mā Bin Xu, Iuliana Ionita‐Laza, Johannes L. Roos, Braden Boone, Scarlet Woodrick, Yan Sun, Shawn Levy, Joseph A. Gogos, Maria Karayiorgou

    I whakaputaina 2012
    Whiwhi kuputuhi katoa
    Artigo
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  19. 19
    FUN-LDA: A Latent Dirichlet Allocation Model for Predicting Tissue-Specific Functional Effects of Noncoding Variation: Methods and Applications

    FUN-LDA: A Latent Dirichlet Allocation Model for Predicting Tissue-Specific Functional Effects of Noncoding Variation: Methods and Applications mā Daniel Backenroth, Zihuai He, Krzysztof Kiryluk, Valentina Boeva, Lynn Petukhova, Ekta Khurana, Angela M. Christiano, Joseph D. Buxbaum, Iuliana Ionita‐Laza

    I whakaputaina 2018
    Whiwhi kuputuhi katoa
    Artigo
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  20. 20
    A multi-dimensional integrative scoring framework for predicting functional variants in the human genome

    A multi-dimensional integrative scoring framework for predicting functional variants in the human genome mā Xihao Li, Godwin Yung, Hufeng Zhou, Ryan Sun, Zilin Li, Kangcheng Hou, Martin Jinye Zhang, Yaowu Liu, Theodore Arapoglou, Chen Wang, Iuliana Ionita‐Laza, Xihong Lin

    I whakaputaina 2022
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    Artigo
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