| 208 Identification of Trichomonas vaginalis 5-nitroimidazole resistance targets to inform future drug development K Graves, J Sharma, C Reily, H Tiwari, V Srinivasasainagendra, ... Journal of Clinical and Translational Science 6 (s1), 32-32, 2022 | | 2022 |
| A genome-wide study of lipid response to fenofibrate in Caucasians: a combined analysis of the GOLDN and ACCORD studies MR Irvin, DM Rotroff, S Aslibekyan, D Zhi, B Hidalgo, A Motsinger-Reif, ... Pharmacogenetics and genomics 26 (7), 324-333, 2016 | 19 | 2016 |
| A novel Mendelian randomization method with binary risk factor and outcome PH Allman, I Aban, DM Long, SL Bridges Jr, V Srinivasasainagendra, ... Genetic epidemiology 45 (5), 549-560, 2021 | 6 | 2021 |
| A PheWAS study of a large observational epidemiological cohort of African Americans from the REGARDS study X Zhao, X Geng, V Srinivasasainagendra, N Chaudhary, S Judd, ... BMC Medical Genomics 12, 167-177, 2019 | 10 | 2019 |
| A Polygenic Risk Score for Chronic Kidney Disease in African Americans: Single versus Multi-Ancestry Approaches. In Review.., 2024 | | 2024 |
| A statistical framework for testing the causal effects of fetal drive N Liu, E Archer, V Srinivasasainagendra, DB Allison Frontiers in Genetics 5, 100488, 2015 | 16 | 2015 |
| ABERRANT SPLICING OF A BRAIN-ENRICHED ALTERNATIVE EXON ELIMINATES TUMOR SUPPRESSOR FUNCTION AND PROMOTES ONCOGENE FUNCTION DURING BRAIN TUMORIGENESIS M Bredel, R Ferrarese, GR Harsh IV, AK Yadav, E Bug, D Maticzka, ... Neuro-oncology 16 (suppl_3), iii19-iii20, 2014 | | 2014 |
| Abstract MP19: An eGFR Polygenic Score Predicts Chronic Kidney Disease in African Americans AC Jones, A Patki, V Srinivasasainagendra, ND Armstrong, ... Circulation 147 (Suppl_1), AMP19-AMP19, 2023 | | 2023 |
| Abstract P491: Functional Annotations for Improvements in Height and Blood Pressure Polygenic Risk Scores ND Armstrong, V Srinivasasainagendra, A Patki, A Pampana, B Davis, ... Circulation 149 (Suppl_1), AP491-AP491, 2024 | | 2024 |
| An adaptive alpha spending algorithm improves the power of statistical inference in microarray data analysis JPL Brand, L Chen, X Cui, AA Bartolucci, GP Page, K Kim, S Barnes, ... Bioinformation 1 (10), 384, 2007 | 4 | 2007 |
| An Amish founder population reveals rare-population genetic determinants of the human lipidome ME Montasser, S Aslibekyan, V Srinivasasainagendra, HK Tiwari, A Patki, ... Communications Biology 5 (1), 334, 2022 | 7 | 2022 |
| An exome-wide sequencing study of lipid response to high-fat meal and fenofibrate in Caucasians from the GOLDN cohort X Geng, MR Irvin, B Hidalgo, S Aslibekyan, V Srinivasasainagendra, P An, ... Journal of lipid research 59 (4), 722-729, 2018 | 10 | 2018 |
| An exome-wide sequencing study of the GOLDN cohort reveals novel associations of coding variants and fasting plasma lipids X Geng, MR Irvin, B Hidalgo, S Aslibekyan, V Srinivasasainagendra, P An, ... Frontiers in Genetics 10, 158, 2019 | 3 | 2019 |
| APOL1, CDKN2A/CDKN2B, and HDAC9 polymorphisms and small vessel ischemic stroke R Akinyemi, HK Tiwari, DK Arnett, B Ovbiagele, MR Irvin, K Wahab, ... Acta Neurologica Scandinavica 137 (1), 133-141, 2018 | 40 | 2018 |
| Assessing changes in relapse rates in multiple sclerosis S Inusah, MP Sormani, SS Cofield, IB Aban, SK Musani, ... Multiple sclerosis journal 16 (12), 1414-1421, 2010 | 139 | 2010 |
| Association Of BMI, 8 SNPs Reported To Be Related To Gout Phenotype and Their Interaction In Gout Incidence In Framingham Heart Study JA Singh, A Vazquez, R Reynolds, V Srinivasa-Sainagendra, ... ARTHRITIS AND RHEUMATISM 65, S68-S68, 2013 | | 2013 |
| Chromatin remodeling genes are frequently somatically altered in cervical carcinomas A Ojesina, A Sundaresan, V Srinivasasainagendra, H Tiwari, W Huh Cancer Research 77 (13_Supplement), 2453-2453, 2017 | | 2017 |
| Comprehensive comparative analysis and identification of RNA-binding protein domains: Multi-class classification and feature selection S Jahandideh, V Srinivasasainagendra, D Zhi Journal of theoretical biology 312, 65-75, 2012 | 11 | 2012 |
| CressExpress: a tool for large-scale mining of expression data from Arabidopsis V Srinivasasainagendra, GP Page, T Mehta, I Coulibaly, AE Loraine Plant physiology 147 (3), 1004-1016, 2008 | 133 | 2008 |
| Cross-chip probe matching tool: A web-based tool for linking microarray probes within and across plant species R Ghanekar, V Srinivasasainagendra, GP Page International journal of plant genomics 2008, 2008 | 6 | 2008 |
