Articles with public access mandates - Iuliana Ionita-Laza - US National Institutes of HealthLearn more
NoteFor this mandate, articles should be available from specific locations.
Not available based on mandate: 12
On the analysis of copy‐number variations in genome‐wide association studies: a translation of the family‐based association test
I Ionita‐Laza, GH Perry, BA Raby, B Klanderman, C Lee, NM Laird, ...
Genetic Epidemiology 32 (3), 273-284, 2008
Novel genes for autism implicate both excitatory and inhibitory cell lineages in risk
FK Satterstrom, JA Kosmicki, J Wang, MS Breen, SD Rubeis, JY An, ...
BioRxiv, 484113, 2018
Genome-wide association analyses define pathogenic signaling pathways and prioritize drug targets for IgA nephropathy
K Kiryluk, E Sanchez-Rodriguez, XJ Zhou, F Zanoni, L Liu, N Mladkova, ...
Nature genetics 55 (7), 1091-1105, 2023
CARMA is a new Bayesian model for fine-mapping in genome-wide association meta-analyses
Z Yang, C Wang, L Liu, A Khan, A Lee, B Vardarajan, R Mayeux, K Kiryluk, ...
Nature Genetics 55 (6), 1057-1065, 2023
Statistical challenges in sequence-based association studies with population-and family-based designs
I Ionita-Laza, MH Cho, NM Laird
Statistics in Biosciences 5, 54-70, 2013
Integrated Quantile RAnk Test (iQRAT) for gene-level associations
T Wang, I Ionita-Laza, Y Wei
The Annals of Applied Statistics 16 (3), 1423-1444, 2022
Discovering influential variables: a general computer intensive method for common genetic disorders
T Zheng, H Chernoff, I Hu, I Ionita-Laza, SH Lo
Handbook of statistical bioinformatics, 87-107, 2011
GWAS defines pathogenic signaling pathways and prioritizes drug targets for IgA nephropathy
K Kiryluk, E Sanchez-Rodriguez, X Zhou, F Zanoni, L Liu, N Mladkova, ...
medRxiv, 2021.11. 19.21265383, 2021
Summary statistics knockoff inference empowers identification of putative causal variants in genome-wide association studies
Z He, L Liu, ME Belloy, Y Le Guen, A Sossin, X Liu, X Qi, S Ma, ...
bioRxiv, 2021.12. 06.471440, 2021
Genome-wide polygenic score with APOL1 risk genotypes predicts chronic kidney disease across major continental ancestries
A Khan, MC Turchin, A Patki, V Srinivasasainagendra, N Shang, ...
medRxiv, 2021.10. 25.21265398, 2021
Zihuai He,* Yann Le Guen, Linxi Liu, 4 Justin Lee, 2 Shiyang Ma, 5 Andrew C. Yang, Xiaoxia Liu, Jarod Rutledge, 6 Patricia Moran Losada, Bowen Song, 7 Michael E. Belloy, Robert …
MD Greicius, I Ionita-Laza
A novel quantile regression approach for eQTL discovery
X Song, G Li, I Ionita-Laza, Y Wei
bioRxiv, 070052, 2016
Available based on mandate: 74
Synaptic, transcriptional and chromatin genes disrupted in autism
S De Rubeis, X He, AP Goldberg, CS Poultney, K Samocha, ...
Nature 515 (7526), 209-215, 2014
Large-scale exome sequencing study implicates both developmental and functional changes in the neurobiology of autism
FK Satterstrom, JA Kosmicki, J Wang, MS Breen, S De Rubeis, JY An, ...
Cell 180 (3), 568-584. e23, 2020
Mapping the human genetic architecture of COVID-19
Writing group Writing group leaders Pathak Gita A. 6 Andrews Shea J. 7 Kanai ...
Nature 600 (7889), 472-477, 2021
A spectral approach integrating functional genomic annotations for coding and noncoding variants
I Ionita-Laza, K McCallum, B Xu, JD Buxbaum
Nature genetics 48 (2), 214-220, 2016
Genome-wide association analysis reveals putative Alzheimer's disease susceptibility loci in addition to APOE
L Bertram, C Lange, K Mullin, M Parkinson, M Hsiao, MF Hogan, ...
The American Journal of Human Genetics 83 (5), 623-632, 2008
Sequence kernel association tests for the combined effect of rare and common variants
I Ionita-Laza, S Lee, V Makarov, JD Buxbaum, X Lin
The American Journal of Human Genetics 92 (6), 841-853, 2013
De novo gene mutations highlight patterns of genetic and neural complexity in schizophrenia
B Xu, I Ionita-Laza, JL Roos, B Boone, S Woodrick, Y Sun, S Levy, ...
Nature genetics 44 (12), 1365-1369, 2012
Genetic association analysis of copy-number variation (CNV) in human disease pathogenesis
I Ionita-Laza, AJ Rogers, C Lange, BA Raby, C Lee
Genomics 93 (1), 22-26, 2009
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