| Identification of new therapeutic targets for osteoarthritis through genome-wide analyses of UK Biobank data I Tachmazidou, K Hatzikotoulas, L Southam, J Esparza-Gordillo, ... Nature genetics 51 (2), 230-236, 2019 | 256 | 2019 |
| Development of a polygenic risk score to improve screening for fracture risk: a genetic risk prediction study V Forgetta, J Keller-Baruch, M Forest, A Durand, S Bhatnagar, JP Kemp, ... PLoS medicine 17 (7), e1003152, 2020 | 36 | 2020 |
| Assessing the readability, quality and accuracy of online health information for patients with low anterior resection syndrome following surgery for rectal cancer R Garfinkle, N Wong‐Chong, A Petrucci, P Sylla, SD Wexner, ... Colorectal Disease 21 (5), 523-531, 2019 | 31 | 2019 |
| gglasso: Group lasso penalized learning using a unified bmd algorithm Y Yang, H Zou, S Bhatnagar R package version 1, 2013 | 26 | 2013 |
| Gene coexpression analyses differentiate networks associated with diverse cancers harboring TP53 missense or null mutations K Oros Klein, K Oualkacha, MH Lafond, S Bhatnagar, PN Tonin, ... Frontiers in genetics 7, 137, 2016 | 25 | 2016 |
| Results of a RCT on a transition support program for adults with ASD: Effects on self‐determination and quality of life A Nadig, T Flanagan, K White, S Bhatnagar Autism research 11 (12), 1712-1728, 2018 | 24 | 2018 |
| A comparison of pathologic outcomes of open, laparoscopic, and robotic resections for rectal cancer using the ACS-NSQIP proctectomy-targeted database: a propensity score analysis R Garfinkle, M Abou-Khalil, S Bhatnagar, N Wong-Chong, L Azoulay, ... Journal of Gastrointestinal Surgery 23 (2), 348-356, 2019 | 23 | 2019 |
| Improved prediction of fracture risk leveraging a genome-wide polygenic risk score T Lu, V Forgetta, J Keller-Baruch, M Nethander, D Bennett, M Forest, ... Genome medicine 13 (1), 1-15, 2021 | 20 | 2021 |
| Widespread epigenomic, transcriptomic and proteomic differences between hip osteophytic and articular chondrocytes in osteoarthritis J Steinberg, RA Brooks, L Southam, S Bhatnagar, TI Roumeliotis, ... Rheumatology 57 (8), 1481-1489, 2018 | 20 | 2018 |
| Trends in cause-specific mortality in HIV–hepatitis C coinfection following hepatitis C treatment scale-up N Kronfli, SR Bhatnagar, MW Hull, EEM Moodie, J Cox, S Walmsley, J Gill, ... AIDS (London, England) 33 (6), 1013, 2019 | 13 | 2019 |
| Polygenic risk score for low-density lipoprotein cholesterol is associated with risk of ischemic heart disease and enriches for individuals with familial hypercholesterolemia H Wu, V Forgetta, S Zhou, SR Bhatnagar, G Pare, JB Richards Circulation: Genomic and Precision Medicine 14 (1), e003106, 2021 | 11 | 2021 |
| Machine learning to predict osteoporotic fracture risk from genotypes V Forgetta, J Keller-Baruch, M Forest, A Durand, S Bhatnagar, J Kemp, ... BioRxiv, 413716, 2018 | 8 | 2018 |
| Development and evaluation of a patient-centred program for low anterior resection syndrome: protocol for a randomized controlled trial R Garfinkle, CG Loiselle, J Park, JF Fiore Jr, LG Bordeianou, AS Liberman, ... BMJ open 10 (5), e035587, 2020 | 7 | 2020 |
| Impact of adipose tissue on prostate cancer aggressiveness–analysis of a high-risk population G Delouya, D Tiberi, SR Bhatnagar, S Campeau, F Saad, D Taussky Hormone Molecular Biology and Clinical Investigation 36 (3), 2018 | 7 | 2018 |
| A sparse additive model for high-dimensional interactions with an exposure variable SR Bhatnagar, T Lu, A Lovato, DL Olds, MS Kobor, MJ Meaney, ... Computational Statistics & Data Analysis 179, 107624, 2023 | 6 | 2023 |
| Simultaneous SNP selection and adjustment for population structure in high dimensional prediction models SR Bhatnagar, Y Yang, T Lu, E Schurr, JC Loredo-Osti, M Forest, ... PLoS genetics 16 (5), e1008766, 2020 | 6 | 2020 |
| Prediction model and web-based risk calculator for postoperative ileus after loop ileostomy closure R Garfinkle, KB Filion, S Bhatnagar, G Sigler, A Banks, F Letarte, ... Journal of British Surgery 106 (12), 1676-1684, 2019 | 6 | 2019 |
| An analytic approach for interpretable predictive models in high‐dimensional data in the presence of interactions with exposures SR Bhatnagar, Y Yang, B Khundrakpam, AC Evans, M Blanchette, ... Genetic epidemiology 42 (3), 233-249, 2018 | 6 | 2018 |
| Joint analysis of multiple blood pressure phenotypes in GAW19 data by using a multivariate rare-variant association test J Sun, SR Bhatnagar, K Oualkacha, A Ciampi, CMT Greenwood BMC proceedings 10 (7), 309-313, 2016 | 6 | 2016 |
| Site-Specific Variation in Radiomic Features of Head and Neck Squamous Cell Carcinoma and Its Impact on Machine Learning Models X Liu, F Maleki, N Muthukrishnan, K Ovens, SH Huang, A Pérez-Lara, ... Cancers 13 (15), 3723, 2021 | 4 | 2021 |
Celia M.T. GreenwoodSenior Investigator, Lady Davis InstituteVerified email at mcgill.ca
