Publications

* indicates student author, ^ indicates corresponding author, # indicates equal contribution

1. Mckinney D.C., Sikdar S., Naavaal S. Improving Dental Hygiene Students’ Knowledge, Attitudes, and Confidence Toward Prenatal Oral Health Through Experiential Learning: A Pilot Study. Journal of Dental Hygiene  2025; 99(1): 8.

2. Bradshaw B.T., Voelker M.A., Vest S.C., Sikdar S. Match accuracy of burned teeth: A pilot study of allied dental professionals. Journal of Dental Hygiene  2025; 99(1): 32.

3. Jayanetti W.T.*, Sikdar S.^. Empirically adjusted fixed-effects meta-analysis methods in genomic studies. Statistical Applications in Genetics and Molecular Biology  2024; 23(1): 20230041.

4. Vest S.*, Bradshaw B., Voelker M., Bruhn A., Newcomb T.L., Sikdar S. Allied Dental Students' Perceived Knowledge, Confidence, and Attitudes Regarding Disaster Victim Identification Topics. Journal of Dental Hygiene  2024; 98(2): 30-38.

5. Smilnak G.J., Lee Y., Chattopadhyay A., Wyss A.B., White J.D., Sikdar S., Jin J., Grant A.J., Motsinger-Reif A.A., Li J., Lee M., Yu B., London S.J. Plasma protein signatures of adult asthma. Allergy 2024; 79(3): 643-655.

6. Jayanetti W.T.*, Chaganty N.R., Sikdar S.^. An empirically adjusted weighted ordered p-values meta-analysis method for large-scale simultaneous significance testing in genomic experiments. Research Methods in Medicine & Health Sciences 2024; 5(2): 37-48.

7. (a) Regan E.*, Bradshaw B., Bruhn A., Melvin W., Sikdar S. Populational Variations of Cheiloscopy Patterns: A cross-sectional observation pilot study. Journal of Dental Hygiene  2023; 97 (5): 196-204.

(b) Regan E.*, Bradshaw B., Bruhn A., Melvin W., Sikdar S. Cheiloscopy patterns in individuals with and without parafunctional oral habits: a cross-sectional observation pilot study. International Journal of Dental Hygiene 2023; 21(4):  755-760.

8. Vest S.*, Bradshaw B., Voelker M., Bruhn A., Newcomb T.L., Sikdar S. Dental Hygiene and Dental Assistant Students’ Simulated DVI Radiographic Match Accuracy: A Pilot Study. Journal of Dental Hygiene  2023; 97(2): 31-38. 

9. Shrine N., Izquierdo A.G., Chen J., Packer R.,[...] Sikdar S., [...], Wain L.V., Hall I.P., Tobin M.D. Multi-ancestry genome-wide association study improves resolution of genes, pathways and pleiotropy for lung function and chronic obstructive pulmonary disease. Nature Genetics  2023; 55(3): 410–422.

10. Jeng H.A., Sikdar S., Pan C.H., Chao M.R., Chang-Chien G.P, Lin W.Y. Mixture Analysis on Associations between Semen Quality and Sperm DNA Integrity and Occupational Exposure to Polycyclic Aromatic Hydrocarbons. Archives of Environmental and Occupational Health 2023; 78(1): 14-27.

11. Lee M., Joehanes R., McCartney D.L., Kho M., Hüls A., Wyss A., […], Sikdar S., […], Smith J.A., Evans K.L., Levy D., London S.J. Opioid medication use and blood DNA methylation: epigenome-wide association meta-analysis. Epigenomics 2022; 14(23): 1479–1492. 

12. Wyss A.B., Hoang T.T., Vindenes H.K., White J., Sikdar S., Richards M., Beane-Freeman L.E., Parks C., Lee M.K., Umbach D.M., London S.J. Early-life farm exposures and eczema among adults in the Agricultural Lung Health Study. Journal of Allergy and Clinical Immunology: Global  2022; 1(4): 248-256.

13. Lee M., Huan T., McCartney D.L., Chittoor G., de Vries M., Lahousse L., [...] Sikdar S., [...] Dupuis J., Breeze C.E., Manichaikul A., London S.J. Pulmonary function and blood DNA methylation: a multiethnic epigenome-wide association meta-analysis. American Journal of Respiratory And Critical Care Medicine 2022; 206(3): 321-336.

14. Jeng H.A., Sikdar S., Huang Y.L., Pan C.H. Mixture analysis of associations between exposure to low levels of multiple metals and semen quality and sperm DNA integrity. Journal of Environmental Science and Health, Part A 2022; 57(4):318-326.

15. Sikdar S. Robust Meta-Analysis for Large-Scale Genomic Experiments based on an Empirical Approach. BMC Medical Research Methodology  2022; 22(1): 43.

16. Jeng H.A., Sikdar S., Pan C.H., Chang-Chien G.P. Mixture analysis of associations between occupational exposures to polycyclic aromatic hydrocarbons and sperm oxidative DNA damage. Annals of Work Exposure and Health 2022; 66(2): 203-215.

17. Jeng H.A., Sikdar S. Mixture Analyses on Polycyclic Aromatic Hydrocarbons: An Example using Semen Quality Biomarkers and Bayesian Kernel Machine Regression. Polycyclic Aromatic Compounds 2021; 42(10): 7557-7568.

18. Sikdar S., Wyss A.B., Lee M.K., et al. Interaction between Genetic Risk Scores for reduced pulmonary function and smoking, asthma, and endotoxin. Thorax 2021; 76(12):1219-1226. 

19. Hoang T.T.#, Sikdar S.#, Xu C.J.#, Lee M.K., et al. Epigenome-Wide Association Study of DNA Methylation and Adult Asthma in the Agricultural Lung Health Study. European Respiratory Journal 2020; 56(3): 2000217.

20. Sikdar S., Joehanes R., Joubert B.R., et al. Comparison of smoking-related DNA methylation between newborns from prenatal exposure and adults from personal smoking. Epigenomics 2019; 11(13):1487-1500.  

21. Reese S.E.#, Xu C.J.#, den Dekker H.T.#, Lee M.K.#, Sikdar S.#, et al. Epigenome-wide meta-analysis of DNA methylation and childhood asthma. Journal of Allergy and Clinical Immunology 2019; 143(6): 2062-74. 

22. Mitra R., Gill R., Sikdar S., Datta S. Bayesian hierarchical model for protein identifications.  Journal of Applied Statistics 2018; 1-17.

23. Sikdar S., Datta S., Datta S. Empirically adjusted meta-analysis (EAMA) for large-scale simultaneous hypothesis testing in genomic experiments. PLoS ONE 2017; 12(10): e0187287.

24. Sikdar S., Datta S. A novel statistical approach for identification of the master regulator transcription factor. BMC Bioinformatics 2017; 18: 79.

25. Sikdar S., Datta S., Datta S. Exploring the importance of cancer pathways by meta-analysis of differential protein expression networks in three different cancers. Biology Direct 2016; 11: 65.

26. Sikdar S., Gill R., Datta S. Improving protein identification from tandem mass spectrometry data by one-step methods and integrating data from other platforms. Briefings in Bioinformatics 2016; 17(2):262-269.

27. Sikdar S., Choo-Wosoba H., Abdia Y., Dutta S., Gill R., Datta S., Datta S. An integrative exploratory analysis of –omics data from the ICGC cancer genomes lung adenocarcinoma study. Systems Biomedicine 2014; 2(3): 54-62.

28. Datta A., Sikdar S., Gill R. Differences in protein-protein association networks for lung adenocarcinoma: A retrospective study. Bioinformation 2014; 10(10): 647–651.