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Iuliana Ionita-Laza
Iuliana Ionita-Laza
Professor of Biostatistics, Columbia University
Verified email at columbia.edu - Homepage
Title
Cited by
Cited by
Year
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
26722014
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
16732020
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
7092021
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
6012016
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
5612008
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
4872012
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
4832013
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
2702009
Loss-of-function variants in schizophrenia risk and SETD1A as a candidate susceptibility gene
A Takata, B Xu, I Ionita-Laza, JL Roos, JA Gogos, M Karayiorgou
Neuron 82 (4), 773-780, 2014
2062014
A new testing strategy to identify rare variants with either risk or protective effect on disease
I Ionita-Laza, JD Buxbaum, NM Laird, C Lange
PLoS Genetics 7 (2), e1001289, 2011
1822011
De novo synonymous mutations in regulatory elements contribute to the genetic etiology of autism and schizophrenia
A Takata, I Ionita-Laza, JA Gogos, B Xu, M Karayiorgou
Neuron 89 (5), 940-947, 2016
1422016
The genetic architecture of membranous nephropathy and its potential to improve non-invasive diagnosis
J Xie, L Liu, N Mladkova, Y Li, H Ren, W Wang, Z Cui, L Lin, X Hu, X Yu, ...
Nature communications 11 (1), 1600, 2020
1272020
GWAS for serum galactose-deficient IgA1 implicates critical genes of the O-glycosylation pathway
K Kiryluk, Y Li, Z Moldoveanu, H Suzuki, C Reily, P Hou, J Xie, ...
PLoS genetics 13 (2), e1006609, 2017
1172017
Genomewide weighted hypothesis testing in family-based association studies, with an application to a 100K scan
I Ionita-Laza, MB McQueen, NM Laird, C Lange
The American Journal of Human Genetics 81 (3), 607-614, 2007
1152007
Hematopoietic mosaic chromosomal alterations increase the risk for diverse types of infection
SM Zekavat, SH Lin, AG Bick, A Liu, K Paruchuri, C Wang, MM Uddin, ...
Nature medicine 27 (6), 1012-1024, 2021
1102021
Rare variant analysis for family-based design
G De, WK Yip, I Ionita-Laza, N Laird
PloS one 8 (1), e48495, 2013
1082013
Estimating the number of unseen variants in the human genome
I Ionita-Laza, C Lange, N M. Laird
Proceedings of the National Academy of Sciences 106 (13), 5008-5013, 2009
1012009
Disease heritability inferred from familial relationships reported in medical records
FCG Polubriaginof, R Vanguri, K Quinnies, GM Belbin, A Yahi, ...
Cell 173 (7), 1692-1704. e11, 2018
96*2018
Family-based association tests for sequence data, and comparisons with population-based association tests
I Ionita-Laza, S Lee, V Makarov, JD Buxbaum, X Lin
European Journal of Human Genetics 21 (10), 1158-1162, 2013
962013
Exome-wide association study identifies GREB1L mutations in congenital kidney malformations
S Sanna-Cherchi, K Khan, R Westland, P Krithivasan, L Fievet, ...
The American Journal of Human Genetics 101 (5), 789-802, 2017
942017
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