Aucun résultat
Sequencing studies have identified that the majority of genetic variability is extremely rare in the population. Since power to find associations with rare events is low, new test statistics have been developed to increase power. Recently, we have been exploring methods for optimizing polygenic risk scores, and exploiting their usefulness in context such as screening for rare variants, identifying individuals at particularly high risk, or improving predictions.
As new platforms become available for measuring genomic data, it is essential to develop appropriate techniques for raw data processing and normalization, to remove any technical artefacts due to the experimental process and to maximize true signa/noise ratios. For bisulphite sequencing based estimates of DNA methylation, we are currently actively developing methods for estimating patterns while accounting for variable read depth and sparse reads. One key paper of ours describes methods for finding regional associations between methylation and phenotypes, accounting appropriately for dispersion, covariates and sequencing errors.
Celia M.T. Greenwood’s research involves developing, improving and applying statistical methods for genetic, genomic and high dimensional data. Her research includes both theoretical developments and applied collaborative projects. In recent years, she has been working on genetic scores to predict disease risks, and methods for analysis of epigenetic data.
Lu T, Forgetta V, Richards JB, Greenwood CMT. (2022) Genetics [IF: 6.15]. 2022 Nov 30;222(4):iyac158. doi: 10.1093/genetics/iyac158.P1-39.
Bhatnagar S, Lu T, Lovato A, Olds DL, Kobor M, Meaney M, O’Donnell K ,Yang A, CMT Greenwood. (2022) Computational Statistics & Data Analysis.2022 Sep 24, 179. doi.org/10.1016/j.csda.2022.107624. P 1-15.
Jiang L, Greenlaw K, Ciampi A, Canty AJ, Gross J, Turecki G, Greenwood CMT (2022). Genetic Epidemiology 46(7): 446-462. doi: 10.1002/gepi.22489.
Zeng Y, Zhao K, Oros Klein K, Shao X, Fritzler MJ, Hudson M, Colmegna I, Pastinen T, Bernatsky S, Greenwood CMT (2021). Genes 12(9): 1349, https://doi.org/10.3390/genes12091349.
Zhao K, Oualkacha K, Lakhal-Chaieb L, Labbe A, Klein K, Ciampi A, Hudson M, Colmegna I, Pastinen T, Zhang T, Daley D, Greenwood CMT (2021). Biometrics 77 (2): 424-438, 2021. doi: 10.1111/biom.13307.
You have the power to make a difference! Your gift will support vital research at the Lady Davis Institute for Medical Research (LDI) that will translate into disease prevention, improved diagnoses, earlier detection, new and enhanced therapies, a better quality of life, wellness and hope for all of us.
Faire la différence, vous avez ce don! Votre contribution soutiendra la recherche essentielle menée à l’Institut Lady Davis qui permettra la prévention des maladies, des diagnostics plus précis, des dépistages plus rapides, des traitements innovants et plus performants, une meilleure qualité de vie, le bien-être et l’espoir pour nous tous.
Copyright © 2024 | Lady Davis Institute for Medical Research/Jewish General Hospital
Conception et développement : Yankee Media
