Dan Nicolae

Affiliations: 
University of Chicago, Chicago, IL 
Area:
Statistics
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"Dan Nicolae"

Children

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Jongwoo Song grad student 2003 Chicago
Irina A. Ostrovnaya grad student 2006 Chicago
Omar De la Cruz Cabrera grad student 2008 Chicago
Baoguan Ke grad student 2008 Chicago
Minsun Song grad student 2008 Chicago
Matthew L. Reimherr grad student 2013 Chicago
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Publications

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Ober C, McKennan CG, Magnaye KM, et al. (2020) Expression quantitative trait locus fine mapping of the 17q12-21 asthma locus in African American children: a genetic association and gene expression study. The Lancet. Respiratory Medicine. 8: 482-492
McKennan C, Nicolae D. (2019) Accounting for unobserved covariates with varying degrees of estimability in high-dimensional biological data. Biometrika. 106: 823-840
Stein MM, Thompson EE, Schoettler N, et al. (2018) A Decade of Research on the 17q12-21 Asthma Locus: Piecing Together the Puzzle. The Journal of Allergy and Clinical Immunology
Im HK, Barbeira A, Zheng J, et al. (2017) Generating A Database of Phenotypic Consequences of Gene Regulation Across 40 Human Tissues European Neuropsychopharmacology. 27
Reimherr M, Nicolae D. (2016) Estimating Variance Components in Functional Linear Models With Applications to Genetic Heritability Journal of the American Statistical Association. 111: 407-422
Gamazon ER, Wheeler HE, Shah KP, et al. (2015) A gene-based association method for mapping traits using reference transcriptome data. Nature Genetics. 47: 1091-8
Sharma S, Zhou X, Thibault DM, et al. (2014) A genome-wide survey of CD4(+) lymphocyte regulatory genetic variants identifies novel asthma genes. The Journal of Allergy and Clinical Immunology. 134: 1153-62
Ahsan H, Halpern J, Kibriya MG, et al. (2014) A genome-wide association study of early-onset breast cancer identifies PFKM as a novel breast cancer gene and supports a common genetic spectrum for breast cancer at any age. Cancer Epidemiology, Biomarkers & Prevention : a Publication of the American Association For Cancer Research, Cosponsored by the American Society of Preventive Oncology. 23: 658-69
Reimherr M, Nicolae D. (2014) A functional data analysis approach for genetic association studies Annals of Applied Statistics. 8: 406-429
Noth I, Zhang Y, Ma SF, et al. (2013) Genetic variants associated with idiopathic pulmonary fibrosis susceptibility and mortality: a genome-wide association study. The Lancet. Respiratory Medicine. 1: 309-17
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