Iuliana Ionita-Laza

发表

Automated Identification of Families in Electronic Health Records to Support Clinical Research

George Hripcsak, Suzanne Bakken, David K. Vawdrey, 2017, CRI.

Empirical Bayes scan statistics for detecting clusters of disease risk variants in genetic studies

Iuliana Ionita-Laza, Kenneth J McCallum, I. Ionita-Laza, 2015, Biometrics.

Copy number variation genotyping using family information

Ryan Mills, Iuliana Ionita-Laza, Charles Lee, 2013, BMC Bioinformatics.

On the frequency of copy number variants

Iuliana Ionita-Laza, Scott T. Weiss, Nan M. Laird, 2008, Bioinform..

A semi-supervised approach for predicting cell-type specific functional consequences of non-coding variation using MPRAs

Kai Wang, Iuliana Ionita-Laza, Linxi Liu, 2018, Nature Communications.

QRank: a novel quantile regression tool for eQTL discovery

Iuliana Ionita-Laza, Xianling Wang, Xiaoyu Song, 2017, Bioinform..

Integrative analysis of functional genomic annotations and sequencing data to identify rare causal variants via hierarchical modeling

Iuliana Ionita-Laza, Marinela Capanu, I. Ionita-Laza, 2015, Front. Genet..

Discovering Influential Variables: A General Computer Intensive Method for Common Genetic Disorders

Tian Zheng, Iuliana Ionita-Laza, Inchi Hu, 2011, Handbook of Statistical Bioinformatics.

FUN-LDA: A LATENT DIRICHLET ALLOCATION MODEL FOR PREDICTING TISSUE-SPECIFIC FUNCTIONAL EFFECTS OF NONCODING VARIATION

Iuliana Ionita-Laza, Krzysztof Kiryluk, Valentina Boeva, 2016, bioRxiv.

Genomewide weighted hypothesis testing in family-based association studies, with an application to a 100K scan.

Iuliana Ionita-Laza, Christoph Lange, Nan M Laird, 2007, American journal of human genetics.

FUN-LDA: A Latent Dirichlet Allocation Model for Predicting Tissue-Specific Functional Effects of Noncoding Variation: Methods and Applications.

Iuliana Ionita-Laza, Krzysztof Kiryluk, Valentina Boeva, 2018, American journal of human genetics.

Sequence kernel association tests for the combined effect of rare and common variants.

Iuliana Ionita-Laza, Seunggeun Lee, Xihong Lin, 2013, American journal of human genetics.

A genome-wide scan statistic framework for whole-genome sequence data analysis

Iuliana Ionita-Laza, Zihuai He, J. Buxbaum, 2019, Nature Communications.

Scan-statistic approach identifies clusters of rare disease variants in LRP2, a gene linked and associated with autism spectrum disorders, in three datasets.

Iuliana Ionita-Laza, Vladimir Makarov, J. Buxbaum, 2012, American journal of human genetics.

Family-based association tests for sequence data, and comparisons with population-based association tests

Iuliana Ionita-Laza, Seunggeun Lee, Vladimir Makarov, 2013, European Journal of Human Genetics.

Genetic association analysis of copy-number variation (CNV) in human disease pathogenesis.

Iuliana Ionita-Laza, Christoph Lange, Charles Lee, 2009, Genomics.

TISSUE-SPECIFIC FUNCTIONAL EFFECT PREDICTION OF GENETIC VARIATION AND APPLICATIONS TO COMPLEX TRAIT GENETICS

Iuliana Ionita-Laza, Krzysztof Kiryluk, Joseph D. Buxbaum, 2016 .

On the analysis of copy‐number variations in genome‐wide association studies: a translation of the family‐based association test

Iuliana Ionita-Laza, Christoph Lange, Scott T Weiss, 2008, Genetic epidemiology.

Unified Sequence-Based Association Tests Allowing for Multiple Functional Annotations and Meta-analysis of Noncoding Variation in Metabochip Data.

Iuliana Ionita-Laza, Seunggeun Lee, Zihuai He, 2017, American journal of human genetics.

Response to Macgregor

Iuliana Ionita-Laza, Scott T. Weiss, Christoph Lange, 2008 .

Constructing gene association networks for rheumatoid arthritis using the backward genotype-trait association (BGTA) algorithm

Iuliana Ionita-Laza, Tian Zheng, Lei Cong, 2007, BMC proceedings.

A New Testing Strategy to Identify Rare Variants with Either Risk or Protective Effect on Disease

Iuliana Ionita-Laza, Christoph Lange, Nan M. Laird, 2011, PLoS genetics.

Finding disease variants in Mendelian disorders by using sequence data: methods and applications.

Iuliana Ionita-Laza, Seungtai Yoon, Dan L Nicolae, 2011, American journal of human genetics.

Rare Variant Analysis for Family-Based Design

Iuliana Ionita-Laza, Wai-Ki Yip, N. Laird, 2013, PloS one.

De Novo Synonymous Mutations in Regulatory Elements Contribute to the Genetic Etiology of Autism and Schizophrenia

Iuliana Ionita-Laza, Atsushi Takata, Joseph A. Gogos, 2016, Neuron.

On Quality Control Measures in Genome-Wide Association Studies: A Test to Assess the Genotyping Quality of Individual Probands in Family-Based Association Studies and an Application to the HapMap Data

Iuliana Ionita-Laza, Christoph Lange, David W. Fardo, 2009, PLoS genetics.