引用次数
引用: 10,914
H-指数: 37
I10-指数 : 66
出版物: 106
Differences in plasma metabolites related to Alzheimer's disease, APOE ε4 status, and ethnicity
Badri Vardarajan , Vrinda Kalia , Jennifer Manly , Adam Brickman
Alzheimer's & Dementia: Translational Research & Clinical Interventions 6 ( 1)
2020
Supplement to “Integrated Quantile RAnk Test (iQRAT) for gene-level associations.”
TIANYING WANG , IULIANA IONITA-LAZA , YING WEI
1
2022
A semi-supervised model to predict regulatory effects of genetic variants at single nucleotide resolution using massively parallel reporter assays.
Iuliana Ionita-Laza , Angela Christiano , Lynn Petukhova , Stephanie Erjavec
Bioinformatics
3
2021
Copy Number Variant Analysis and Genome-wide Association Study Identify Loci with Large Effect for Vesicoureteral Reflux
Anna Latos-Bieleńska , Loreto Gesualdo , Susan L Furth , Iuliana Ionita-Laza
Journal of The American Society of Nephrology 32 ( 4) 805 -820
2021
Medical records-based chronic kidney disease phenotype for clinical care and "big data" observational and genetic studies.
Nicholas P Tatonetti , Iuliana Ionita-Laza , David R Crosslin , Ian B Stanaway
npj Digital Medicine 4 ( 1) 70 -70
27
2021
Identification of putative causal loci in whole-genome sequencing data via knockoff statistics.
Iuliana Ionita-Laza , Michael Greicius , Edwin K Silverman , Michael H Cho
Nature Communications 12 ( 1) 3152 -3152
2021
Integrative analysis of functional genomic annotations and sequencing data to identify rare causal variants via hierarchical modeling.
Marinela Capanu , Iuliana Ionita-Laza
Frontiers in Genetics 6 17 -17
3
2015
Quantile Regression in the Secondary Analysis of Case–Control Data
Ying Wei , Xiaoyu Song , Mengling Liu , Iuliana Ionita-Laza
Journal of the American Statistical Association 111 ( 513) 344 -354
15
2016
Identifying rare disease variants in the Genetic Analysis Workshop 17 simulated data: a comparison of several statistical approaches
Ruixue Fan , Chien-Hsun Huang , Shaw-Hwa Lo , Tian Zheng
BMC Proceedings 5 ( 9) 1 -5
4
2011
Small sample properties of rare variant analysis methods
Michael D Swartz , Taebeom Kim , Jiangong Niu , Robert K Yu
BMC Proceedings 8 ( 1) 1 -5
1
2014
Comparing the power of family-based association tests for sequence data with applications in the GAW18 simulated data.
Jing Huang , Yong Chen , Michael D Swartz , Iuliana Ionita-Laza
BMC proceedings 8 ( 1) 1 -7
3
2014
A semi-supervised approach for predicting cell-type specific functional consequences of non-coding variation using MPRAs.
Zihuai He , Linxi Liu , Kai Wang , Iuliana Ionita-Laza
Nature Communications 9 ( 1) 5199
15
2018
Genomewide Weighted Hypothesis Testing in Family-Based Association Studies, with an Application to a 100K Scan
Iuliana Ionita-Laza , Matthew B. McQueen , Nan M. Laird , Christoph Lange
American Journal of Human Genetics 81 ( 3) 607 -614
86
2007
Cell Type-Specific Annotation and Fine Mapping of Variants Associated With Brain Disorders.
Abolfazl Doostparast Torshizi , Iuliana Ionita-Laza , Kai Wang
Frontiers in Genetics 11 575928
2020
Empirical Bayes scan statistics for detecting clusters of disease risk variants in genetic studies
Kenneth J. McCallum , Iuliana Ionita-Laza
Biometrics 71 ( 4) 1111 -1120
8
2015
The genetic architecture of membranous nephropathy and its potential to improve non-invasive diagnosis
Jingyuan Xie , Lili Liu , Nikol Mladkova , Yifu Li
Nature Communications 11 ( 1) 1600 -1618
79
2020
Study Designs for Identification of Rare Disease Variants in Complex Diseases: The Utility of Family-Based Designs
Iuliana Ionita-Laza , Ruth Ottman
Genetics 189 ( 3) 1061 -1068
29
2011
A New Testing Strategy to Identify Rare Variants with Either Risk or Protective Effect on Disease
Iuliana Ionita-Laza , Joseph D. Buxbaum , Nan M. Laird , Christoph Lange
PLoS Genetics 7 ( 2) e1001289
125
2011
Unified Sequence-Based Association Tests Allowing for Multiple Functional Annotations and Meta-analysis of Noncoding Variation in Metabochip Data.
Zihuai He , Bin Xu , Seunggeun Lee , Iuliana Ionita-Laza
American Journal of Human Genetics 101 ( 3) 340 -352
30
2017
Exome-wide Association Study Identifies GREB1L Mutations in Congenital Kidney Malformations.
Simone Sanna-Cherchi , Kamal Khan , Rik Westland , Priya Krithivasan
American Journal of Human Genetics 101 ( 5) 789 -802
80
2017