I. Ionita-Laza

I. Ionita-Laza, B. Klanderman, A. Murphy, 2009, Clinical and experimental allergy : journal of the British Society for Allergy and Clinical Immunology.

Quantile Regression in the Secondary Analysis of Case–Control Data

I. Ionita-Laza, Ying Wei, Mengling Liu, 2016, Journal of the American Statistical Association.

A novel quantile regression approach for eQTL discovery

I. Ionita-Laza, Ying Wei, Gen Li, 2016, bioRxiv.

Statistical Challenges in Sequence-Based Association Studies with Population- and Family-Based Designs

N. Laird, I. Ionita-Laza, M. Cho, 2013 .

Rare‐variant association tests in longitudinal studies, with an application to the Multi‐Ethnic Study of Atherosclerosis (MESA)

S. Kardia, I. Ionita-Laza, Seunggeun Lee, 2017, Genetic epidemiology.

Co-localization between Sequence Constraint and Epigenomic Information Improves Interpretation of Whole-Genome Sequencing Data.

J. Buxbaum, I. Ionita-Laza, K. Kiryluk, 2020, American journal of human genetics.

Fine-mapping gene-based associations via knocko ﬀ analysis of biobank-scale data with applications to UK Biobank

I. Ionita-Laza, K. Kiryluk, Zihuai He, 2022 .

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

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

Genome-wide polygenic score to predict chronic kidney disease across ancestries

Judy H. Cho, N. Lennon, D. Schaid, 2022, Nature Medicine.

GWAS for serum galactose-deficient IgA1 implicates critical genes of the O-glycosylation pathway

I. Ionita-Laza, B. Julian, J. Novak, 2016, bioRxiv.

Statistical Applications in Genetics and Molecular Biology

N. Laird, I. Ionita-Laza, 2010 .

EIGEN : A SPECTRAL APPROACH TO THE INTEGRATION OF FUNCTIONAL GENOMICS ANNOTATIONS FOR BOTH CODING AND NONCODING SEQUENCE VARIANTS

J. Buxbaum, I. Ionita-Laza, K. McCallum, 2015 .

Essential Tremor in a Charcot-Marie-Tooth Type 2C Kindred Does Not Segregate with the TRPV4 R269H Mutation

I. Ionita-Laza, E. Louis, R. Ottman, 2014, Case Reports in Neurology.

Copy Number Variant Analysis and Genome-wide Association Study Identify Loci with Large Effect for Vesicoureteral Reflux.

Craig S. Wong, H. Hakonarson, C. Willer, 2021, Journal of the American Society of Nephrology : JASN.

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.

A Comprehensive Analysis of Association between Several Candidate Genes and Rheumatoid Arthritis in Samples from North American Rheumatoid Arthritis Consortium (NARAC)

S. Lo, I. Ionita-Laza, T. Zheng, 2006 .

Combined Linkage and Association Analysis of the NARAC Dataset

S. Lo, I. Ionita-Laza, T. Zheng, 2006 .

GhostKnockoff inference empowers identification of putative causal variants in genome-wide association studies

Michaël E. Belloy, E. Candès, C. Sabatti, 2022, Nature Communications.

Exome-wide Association Study Identifies GREB1L Mutations in Congenital Kidney Malformations.

D. Goldstein, S. Mane, G. Ardissino, 2017, American journal of human genetics.

Multitrait GWAS to connect disease variants and biological mechanisms

P. Kraft, I. Ionita-Laza, V. Guillemot, 2021, PLoS genetics.

Whole exome sequencing in Alopecia Areata identifies rare variants in KRT82

I. Ionita-Laza, S. Gelfman, A. Alkelai, 2022, Nature Communications.

Whole exome sequencing in Alopecia Areata identifies rare variants in KRT82

I. Ionita-Laza, A. Christiano, S. Gelfman, 2022, Nature communications.

GWAS defines pathogenic signaling pathways and prioritizes drug targets for IgA nephropathy

F. Kronenberg, P. Gregersen, C. Wijmenga, 2021, medRxiv.

Identification of putative causal loci in whole-genome sequencing data via knockoff statistics

E. Silverman, Hua Tang, M. Greicius, 2021, Nature Communications.

A Statistical Framework for Mapping Risk Genes from De Novo Mutations in Whole-Genome-Sequencing Studies.

Evan T. Geller, Nicholas W. Knoblauch, I. Ionita-Laza, 2018, American journal of human genetics.

Contribution of de novo non-coding mutations to autism and identification of risk genes from whole-genome sequencing of affected families

Nicholas W. Knoblauch, I. Ionita-Laza, J. Noonan, 2016 .

Cell Type-Specific Annotation and Fine Mapping of Variants Associated With Brain Disorders

I. Ionita-Laza, Kai Wang, Abolfazl Doostparast Torshizi, 2020, Frontiers in Genetics.

KnockoffTrio: A knockoff framework for the identification of putative causal variants in genome-wide association studies with trio design.

J. Buxbaum, I. Ionita-Laza, Yi Yang, 2022, American journal of human genetics.

Comparing the power of family-based association tests for sequence data with applications in the GAW18 simulated data

I. Ionita-Laza, Jing Huang, M. Swartz, 2014, BMC Proceedings.

Rare Variant Analysis for Family-Based Design

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

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.

Study Designs for Identification of Rare Disease Variants in Complex Diseases: The Utility of Family-Based Designs

I. Ionita-Laza, R. Ottman, 2011, Genetics.

Identification of Rare Causal Variants in Sequence-Based Studies: Methods and Applications to VPS13B, a Gene Involved in Cohen Syndrome and Autism

J. Buxbaum, I. Ionita-Laza, K. McCallum, 2014, PLoS genetics.

Contribution of de novo non-coding mutations to autism and 1 identification of risk genes from whole-genome sequencing of affected 2 families 3 4 5

Evan T. Geller, I. Ionita-Laza, J. Noonan, 2016 .

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.

Scan statistic-based analysis of exome sequencing data identifies FAN1 at 15q13.3 as a susceptibility gene for schizophrenia and autism

Vladimir Makarov, J. Buxbaum, I. Ionita-Laza, 2013, Proceedings of the National Academy of Sciences.

Exome Analyses Reveal New Autism Genes in Synaptic, Transcriptional, and Chromatin Networks Supplementary Methods

Christopher S. Poultney, Stephan J Sanders, Evan T. Geller, 2022 .

BIGKnock: fine-mapping gene-based associations via knockoff analysis of biobank-scale data

I. Ionita-Laza, K. Kiryluk, Zihuai He, 2023, Genome Biology.

A unified quantile framework reveals nonlinear heterogeneous transcriptome-wide associations

I. Ionita-Laza, Ying Wei, Tianying Wang, 2022, 2207.12081.

Powerful gene-based testing by integrating long-range chromatin interactions and knockoff genotypes

J. Buxbaum, E. Silverman, I. Ionita-Laza, 2021, Proceedings of the National Academy of Sciences.

CARMA: Novel Bayesian model for ﬁne-mapping in meta-analysis studies

R. Mayeux, I. Ionita-Laza, B. Vardarajan, 2022 .

Summary statistics knockoff inference empowers identification of putative causal variants in genome-wide association studies

Michaël E. Belloy, E. Candès, C. Sabatti, 2021, bioRxiv.

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.

Mapping the human genetic architecture of COVID-19

Mattia G. Bergomi, Christopher M. DeBoever, Matthew A. Wiles, 2021, Nature.

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

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

Identification of candidate genes for familial early-onset essential tremor

I. Ionita-Laza, A. Floratos, E. Louis, 2015, European 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.

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.

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

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

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 prevalence in known asthma genes and their impact on asthma susceptibility

Ryan E. Mills, Charles Lee, R. Mills, 2013, Clinical and experimental allergy : journal of the British Society for Allergy and Clinical Immunology.

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 multi-dimensional integrative scoring framework for predicting functional variants in the human genome.

Martin Jinye Zhang, Xihong Lin, I. Ionita-Laza, 2022, American Journal of Human Genetics.

Hematopoietic mosaic chromosomal alterations increase the risk for diverse types of infection

Matthew S. Lebo, Beryl B. Cummings, John D. Eicher, 2021, Nature Network Boston.

Refinement of primate copy number variation hotspots identifies candidate genomic regions evolving under positive selection

Ryan E. Mills, O. Gokcumen, Charles Lee, 2011, Genome Biology.

The genetic architecture of membranous nephropathy and its potential to improve non-invasive diagnosis

L. Kiemeney, A. Köttgen, I. Ionita-Laza, 2020, Nature Communications.

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.

The genetic architecture of membranous nephropathy and its potential to improve non-invasive diagnosis

L. Kiemeney, A. Köttgen, I. Ionita-Laza, 2020, Nature Communications.

Genome-wide polygenic score with APOL1 risk genotypes predicts chronic kidney disease across major continental ancestries

D. Schaid, T. Ge, G. Hripcsak, 2021, medRxiv.

Ancestry adjustment improves genome-wide estimates of regional intolerance

D. Goldstein, A. Allen, R. Dhindsa, 2020, bioRxiv.

Quantitative disease risk scores from EHR with applications to clinical risk stratification and genetic studies

S. Murphy, I. Ionita-Laza, I. Kullo, 2021, npj Digital Medicine.

A Multi-dimensional Integrative Scoring Framework for Predicting Functional Regions in the Human Genome

Xihong Lin, I. Ionita-Laza, Zilin Li, 2021, bioRxiv.

Statistical Challenges in Sequence-Based Association Studies with Population- and Family-Based Designs

N. Laird, I. Ionita-Laza, M. Cho, 2012, Statistics in Biosciences.

A semi-supervised model to predict regulatory effects of genetic variants at single nucleotide resolution using massively parallel reporter assays.

I. Ionita-Laza, A. Christiano, L. Petukhova, 2021, Bioinformatics.

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.

Linkage disequilibrium mapping of the chromosome 6q21–22.31 bipolar I disorder susceptibility locus

B. Devlin, N. Laird, J. Calabrese, 2009, American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics.

Genomic Mismatch at LIMS1 Locus and Kidney Allograft Rejection

H. Snieder, I. Ionita-Laza, V. D’Agati, 2019, The New England journal of medicine.

Genetic variants within the serotonin transporter associated with familial risk for major depression

M. Weissman, Alan S. Brown, A. Sourander, 2015, Psychiatry Research.

Medical records-based chronic kidney disease phenotype for clinical care and “big data” observational and genetic studies

Adelaide M. Arruda-Olson, G. Hripcsak, J. Denny, 2021, npj Digital Medicine.

Constructing Association Network in Tw o Stage Analysis: An Application of Backward Genotype-Trait Associati on (BGTA) Algorithm to NARAC Data

S. Lo, I. Ionita-Laza, T. Zheng, 2006 .

A General and Robust Framework for Secondary Traits Analysis

I. Ionita-Laza, Mengling Liu, J. Reibman, 2016, Genetics.

Exome-wide Association Study Identifies GREB1L Mutations in Congenital Kidney Malformations.

D. Goldstein, S. Mane, G. Ardissino, 2017, American journal of human genetics.

Differences in plasma metabolites related to Alzheimer's disease, APOE ε4 status, and ethnicity

Dean P. Jones, A. Brickman, R. Mayeux, 2020, Alzheimer's & dementia.

Genome-wide analysis of common and rare variants via multiple knockoffs at biobank scale, with an application to Alzheimer disease genetics

Michaël E. Belloy, M. Greicius, I. Ionita-Laza, 2021, American journal of human genetics.

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..

Joint study of genetic regulators for expression traits related to breast cancer

S. Lo, I. Ionita-Laza, T. Zheng, 2007, BMC proceedings.

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.

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.

Genomic Disorders in CKD across the Lifespan

Craig S. Wong, Joseph T. Glessner, J. Glessner, 2022 .

Estimate of disease heritability using 7.4 million familial relationships inferred from electronic health records

S. Bakken, J. Dudley, D. Vawdrey, 2016, bioRxiv.

QRank: a novel quantile regression tool for eQTL discovery

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

Air pollution and decreased bone mineral density among Women's Health Initiative participants

A. Baccarelli, I. Ionita-Laza, D. Liao, 2023, EClinicalMedicine.

Quantile Regression for biomarkers in the UK Biobank

I. Ionita-Laza, Ying Wei, H. Aschard, 2023, bioRxiv.

Domain-dependent clustering and genotype-phenotype analysis of LGI1 mutations in ADPEAF

I. Ionita-Laza, R. Ottman, Y. Ho, 2012, Neurology.

Genome-wide association analyses define pathogenic signaling pathways and prioritize drug targets for IgA nephropathy

F. Kronenberg, P. Gregersen, C. Wijmenga, 2023, Nature Genetics.

Does rate of progression run in essential tremor families? Slower vs. faster progressors.

I. Ionita-Laza, E. Louis, R. Ottman, 2013, Parkinsonism & related disorders.

Erratum : Exome-wide Association Study Identifies GREB1L Mutations in Congenital Kidney Malformations (The American Journal of Human Genetics (2017) 101(5) (789–802) (S0002929717303877) (10.1016/j.ajhg.2017.09.018))

D. Goldstein, S. Mane, G. Ardissino, 2017 .

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

H. Chernoff, Inchi Hu, S. Lo, 2011, Handbook of Statistical Bioinformatics.

Small sample properties of rare variant analysis methods

S. Shete, I. Ionita-Laza, M. Swartz, 2014, BMC Proceedings.

Identification of Rare Causal Variants in Sequence-Based Studies: Methods and Applications to VPS13B, a Gene Involved in Cohen Syndrome and Autism

J. Buxbaum, I. Ionita-Laza, K. McCallum, 2014, PLoS Genetics.

Mapping the human genetic architecture of COVID-19

Mattia G. Bergomi, Christopher M. DeBoever, Matthew A. Wiles, 2021, Nature.

Finding genes in Mendelian disorders using sequence data: methods and applications

Seungtai Yoon, Vladimir Makarov, J. Buxbaum, 2011 .

CARMA is a new Bayesian model for fine-mapping in genome-wide association meta-analyses

R. Mayeux, I. Ionita-Laza, B. Vardarajan, 2023, Nature Genetics.

A statistical framework for mapping risk genes from de novo mutations in whole-genome sequencing studies

Evan T. Geller, Nicholas W. Knoblauch, I. Ionita-Laza, 2016, bioRxiv.

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

Vladimir Makarov, J. Buxbaum, Xihong Lin, 2013, European Journal of Human Genetics.

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

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

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

Seungtai Yoon, Vladimir Makarov, J. Buxbaum, 2011, American journal of human genetics.

Genomic Disorders in CKD across the Lifespan

Craig S. Wong, J. Glessner, H. Hakonarson, 2022, Journal of the American Society of Nephrology : JASN.

Refinement of Primate Copy Number Variation Hotspots Identifies Candidate Genomic Regions Evolving under Positive Selection Refinement of Primate Copy Number Variation Hotspots Identifies Candidate Genomic Regions Evolving under Positive Selection

I. Ionita-Laza, E. Vallender, Rebecca C. Iskow, 2022 .

A Multi-dimensional Integrative Scoring Framework for Predicting Functional Regions in the Human Genome

Martin Jinye Zhang, Xihong Lin, I. Ionita-Laza, 2021, bioRxiv.

Identification of Rare Causal Variants in Sequence-Based Studies: Methods and Applications to VPS13B, a Gene Involved in Cohen Syndrome and Autism

Yichao Wu, Chaowen Zheng, I. Ionita-Laza, 2014, PLoS genetics.

Author Correction: Genetic regulation of serum IgA levels and susceptibility to common immune, infectious, kidney, and cardio-metabolic traits

Theresa L. Walunas, S. Raychaudhuri, R. Barr, 2023, Nature Communications.

UNM Digital Repository UNM Digital Repository

H. Hakonarson, I. Ionita-Laza, A. Latos-Bieleńska, 2022 .

Genetic variants within the serotonin transporter associated with familial risk for major depression

M. Weissman, Alan S. Brown, A. Sourander, 2015, Psychiatry Research.