Selected Publications

On this page: peer-reviewed journal articles  |  books  |  edited volumes

 

Peer-Reviewed Journal Articles

  1. McGregor K, Labbe A, Greenwood CMT (2019) MDiNE: A model to estimate differential co-occurrence networks in microbiome dataBioinformatics, November 2019. pii: btz824. doi: 10.1093/bioinformatics/btz824. [Epub ahead of print]
  2. Lu T, Klein KO, Colmegna I, Lora M, Greenwood CMT, Hudson M (2019). Whole-genome bisulfite sequencing in systemic sclerosis provides novel targets to understand disease pathogenesis. BMC Med Genomics 12(1): 144.
  3. J Sun, K Oualkacha, CMT Greenwood, L Lakhal-Chaieb (2019). Multivariate association test for rare variants controlling for cryptic and family relatedness. The Canadian Journal of Statistics. 47 (1): 90-107. doi.org/10.1002/cjs.11475.11475.
  4. Jiang L, Oualkacha K, Didelez V, Ciampi A, Rosa-Neto P, Benedet AL, Mathotaarachchi S,Richards JB, Greenwood CMT, and for the Alzheimer’s Disease Neuroimaging Initiative. (2019). Constrained Instruments and their Application to Mendelian Randomization with Pleiotropy. Genet Epidemiol. 2019 Jan 12. doi: 10.1002/gepi.22184
  5. S Das, X L Boucher, C Rogers, FC Decorte, KO Klein, C Makowski, N Beck, P Rioux, S T Brown, Z Mohaddes, C Zweber, V Foing, M Forest, K O’Donnell, J Clark, CMT Greenwood, MJ Meaney, AC Evans. (2018). Integration of “omics” data and phenotypic data within a unified extensible multimodal framework. Frontiers in Neuroinformatics.12:9 doi: 10.3389/fninf.2018.00091.18 December 2018.
  6. Turgeon M, Oualkacha K, Ciampi A, Miftah H, Dehghan G, Zanke BW, Benedet AL, Rosa-Neto P, Greenwood CMT*, Labbe A*, for the Alzheimer’s Disease Neuroimaging Initiative (2018). Principal component of explained variance: an efficient and optimal data dimension reduction framework for association studies. Statistical Methods in Medical Research.27(5) 1331–1350. doi :10.1177/0962280216660128.
  7. F Shokoohi, DA Stephens, G Bourque, T Pastinen, CM Greenwood, A Labbe (2018). A Hidden Markov Model for Identifying Differentially Methylated Sites in Bisulfite Sequencing Data. Biometrics. doi:10.1111/j.1541-0420.2017.00454. x. Accepted, August 23, 2018.
  8. J Sun, K Oualkacha, CMT Greenwood, LL Chaieb (2018). Multivariate association test for rare variants controlling for cryptic and family relatedness. The Canadian Journal of Statistics. doi: 10.1002/cjs.11475. Accepted June 7, 2018.
  9. SR Bhatnagar,Y Yang, B Khundrakpam, AC Evans, M Blanchette, L Bouchard, CMT Greenwood (2018). An analytic approach for interpretable predictive models in high dimensional data in the presence of interactions with exposures. Genetic Epidemiology 42(3): 233-249. doi: 10.1002/gepi.22112
  10. J Sun , K Oualkacha , V Forgetta , HF Zheng , JB Richards, DS Evans, E Orwoll, CM Greenwood. (2018). Exome-wide rare variant analyses of two bone mineral density phenotypes: the challenges of analyzing rare genetic variation. Scientific Reports 8(1):220. doi: 10.1038/s41598-017-18385-9.
  11. M Forest, KJ O’Donnell, G Voisin, H Gaudreau, JL MacIsaac, LM McEwen, PP Silveira, M Steiner, MS Kobor, MJ Meaney, CMT Greenwood. Agreement in DNA methylation levels from the Illumina 450K array, across batches, tissues and time. Epigenetics 13(1): 19-32. doi: 10.1080/15592294.2017.1411443.
  12. N Timpson, CMT Greenwood, N Soranzo, DJ Lawson, JB Richards (2018). Genetic architecture: The shape of genetic contribution to human traits and disease. Nature Reviews Genetics. 19(2):110-124. doi: 10.1038/nrg.2017.10
  13. Turgeon M, Oualkacha K, Ciampi A, Miftah H, Dehghan G, Zanke BW, Benedet AL, Rosa-Neto P, Greenwood CMT, Labbe A, for the Alzheimer’s Disease Neuroimaging Initiative (2018). Principal component of explained variance: an efficient and optimal data dimension reduction framework for association studies. Statistical Methods in Medical Research, Epub ahead of print 2016 Jul 26. Vol 27(5): 1331 – 1350. doi: 10.1177/0962280216660128.
  14. L Lakhal-Chaieb, CMT Greenwood, M Ouhourane, K Zhao, B Abdous, K Oualkacha (2017). A smoothed EM-algorithm for DNA methylation profiles from sequencing-based methods in cell lines or for a single cell type. Statistical Applications in Genetics and Molecular Biology 16(5-6): 333-347. doi: 10.1515/sagmb-2016-0062
  15. M Hudson, S Bernatsky, I Colmegna, M Lora, T Pastinen, K Klein Oros, C Greenwood. (2017). Novel insights into systemic autoimmune rheumatic diseases using shared molecular signatures and an integrative analysis. Epigenetics, 12(6):433-440. doi: 10.1080/15592294.2017.1303581.
  16. Forest M, Iturria-Medina Y, Goldman JS, Kleinman CL, Lovato A, Oros Klein K, Evans A, Ciampi A, Labbe A, Greenwood CMT. (2017). Gene networks show associations with seed region connectivity. Human Brain Mapping, 38(6):3126-3140. doi: 10.1002/hbm.23579
  17. K Oros Klein, K Oualkacha, M-H Lafond, S Bhatnagar, PN Tonin, CMT Greenwood. (2016). Gene coexpression analyses differentiate networks associated with diverse cancers harbouring TP53 missense or null mutations. Frontiers in Statistical Genetics and Methodology, 7:137. doi.org/10.3389/fgene.2016.00137
  18. K McGregor, S Bernatsky, I Colmegna, M Hudson, T Pastinen, A Labbe, CMT Greenwood (2016). An evaluation of methods correcting for cell-type heterogeneity in DNA methylation studies. Genome Biology. 17:84.
  19. K Oualkacha, L Lakhal-Chaieb, CMT Greenwood. Software Application Profile: RVPedigree: A suite of family-based rare-variant association tests for normally- and non-normally-distributed quantitative traits (2016). International Journal of Epidemiology, 45(2):402-7. doi: 10.1093/ije/dyw047

 

  Book Chapters

  1. W Xu, J Ma, CMT Greenwood, AD Paterson, SB Bull (2017). Model-free linkage analysis of a binary trait. In: Statistical Human Genetics: Methods and Protocols. Second Edition. Ed: Robert C. Elston. Springer Protocols. Chapter 17, Pages 343-373.
  2. CMT Greenwood, C Xu, S Alam, J Krushkal, FA Tylavsky, RM Adkins, AK Naumova (2016). Genetic and epigenetic variation in imprinted regions and its effect on birth. In Epigenetics in human reproduction and development, Editors: Anna K. Naumova & Teruko Taketo. World Scientific Publishing, Singapore.
  3. CMT Greenwood, C Xu, A Ciampi. (2015). Significance thresholds for rare variant signals. 169-183. Assessing rare variation in complex traits: design and analysis of genetic studies.  Editors: Andrew Morris, Eleftheria Zeggini.  Springer, New York. DOI: 10.1007/978-1-4939-2824-8
  4. SB Bull, J Graham, CM Greenwood. (2014). Statistical Genetic Modeling and Analysis of Complex Traits in Human Populations. 125-146. Statistics in Action: A Canadian Outlook. Editor: Jerry Lawless. Statistical Society of Canada.

 

  Edited Volumes

  1. Epigenetics and Complex Traits (2013).  Editors:  AK Naumova, CMT Greenwood.  Springer, New York.

 

To see a full list of publications, please contact Celia Greenwood.

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