Sinjini Sikdar

ORCID: 0000-0003-1230-5162
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About
Contact & Profiles
Research Areas
  • Epigenetics and DNA Methylation
  • Gene expression and cancer classification
  • Chronic Obstructive Pulmonary Disease (COPD) Research
  • Asthma and respiratory diseases
  • Genetic Associations and Epidemiology
  • Bioinformatics and Genomic Networks
  • Genetic Mapping and Diversity in Plants and Animals
  • Effects and risks of endocrine disrupting chemicals
  • Toxic Organic Pollutants Impact
  • Advanced Proteomics Techniques and Applications
  • Metabolomics and Mass Spectrometry Studies
  • Mass Spectrometry Techniques and Applications
  • Neonatal Respiratory Health Research
  • Carcinogens and Genotoxicity Assessment
  • Ferroptosis and cancer prognosis
  • Dental Research and COVID-19
  • Disaster Response and Management
  • Cancer-related molecular mechanisms research
  • Pediatric health and respiratory diseases
  • Machine Learning in Bioinformatics
  • Dental Health and Care Utilization
  • Agriculture and Farm Safety
  • Occupational Health and Safety Research
  • Health Education and Validation
  • Vasculitis and related conditions

Old Dominion University
2020-2025

National Institute of Environmental Health Sciences
2018-2024

National Institutes of Health
2018-2024

Orszagos Kornyezetegeszsegugyi Intezet
2019

Triangle
2019

University of Florida
2016-2018

University of Louisville Hospital
2014

University of Louisville
2014

Epigenome-wide studies of methylation in children support a role for epigenetic mechanisms asthma; however, adults are rare and few have examined non-atopic asthma. We conducted the largest epigenome-wide association study (EWAS) blood DNA relation to atopic measured using Illumina MethylationEPIC array among 2286 participants case-control current adult asthma nested within United States agricultural cohort. Atopy was defined by serum specific immunoglobulin E (IgE). Participants were...

10.1183/13993003.00217-2020 article EN cc-by-nc European Respiratory Journal 2020-05-07

Transcription factors are known to play key roles in carcinogenesis and therefore, gaining popularity as potential therapeutic targets drug development. A 'master regulator' transcription factor often appears control most of the regulatory activities other associated genes. This is at top hierarchy transcriptomic regulation. Therefore, it important identify target master regulator for proper understanding disease process identifying best option.We present a novel two-step computational...

10.1186/s12859-017-1499-x article EN cc-by BMC Bioinformatics 2017-02-02

The objective of this study was to assess relationships between exposure PAHs at occupational levels and outcomes human semen quality sperm DNA integrity. Personal breathing zone air samples were collected quantify 16 targeted coke-oven workers a steel company in southern Taiwan. Semen quality, including concentration, motility, morphology, viability, assessed. Sperm fragmentation, 8-oxodGuo, bulky PAH adducts, benzo[a]pyrene diol epoxide-DNA adducts served as biomarkers for assessment...

10.1080/19338244.2022.2057901 article EN Archives of Environmental & Occupational Health 2022-03-31

The objective of this study was to assess the association exposure metal mixtures with semen quality and sperm DNA integrity coke oven workers (n = 96). Urinary six metals (cadmium, lead, arsenic, zinc, selenium, copper) were quantified using inductively coupled-mass spectrometry. Semen parameters included concentration, motility, morphology, viability. Sperm fragmentation 8-oxo-7,8-dihydro-2'-deoxyguanosine (8-oxodGuo) adducts served as biomarkers for assessing integrity. Bayesian kernel...

10.1080/10934529.2022.2061256 article EN Journal of Environmental Science and Health Part A 2022-03-21
Nick Shrine Abril G. Izquierdo Jing Chen Richard Packer Robert J. Hall and 95 more Anna L. Guyatt Chiara Batini Rebecca Thompson Chandan Pavuluri Vidhi Malik Brian D. Hobbs Matthew Moll Wonji Kim Ruth Tal‐Singer Per Bakke Katherine A. Fawcett Catherine John Kayesha Coley Noemi Nicole Piga Alfred Pozarickij Kuang Lin Iona Y. Millwood Zhengming Chen Liming Li Sara RA Wielscher Lies Lahousse Guy Brusselle André G. Uitterlinden Ani Manichaikul Elizabeth C. Oelsner Stephen S. Rich R. Graham Barr Shona M. Kerr Véronique Vitart Michael R. Brown Matthias Wielscher Medea Imboden Ayoung Jeong Traci M. Bartz Sina A. Gharib Claudia Flexeder Stefan Karrasch Christian Gieger Annette Peters Beate Stubbe Xiaowei Hu Victor E. Ortega Deborah A. Meyers Eugene R. Bleecker Stacey Gabriel Namrata Gupta Albert V. Smith Jian’an Luan Jinghua Zhao Ailin Falkmo Hansen Arnulf Langhammer Cristen J. Willer Laxmi Bhatta David J. Porteous Blair H. Smith Archie Campbell Tamar Sofer Jiwon Lee Martha L. Daviglus Bing Yu Elise Lim Hanfei Xu George O'connor Gaurav Thareja Omar M E. Hamdi Mbarek Karsten Suhre Raquel Granell Tariq Faquih Pieter S. Hiemstra Annelies M. Slats Benjamin H. Mullin Jennie Hui Anthony James John Beilby Karina Patasova Pirro G. Hysi Jukka Koskela Annah B. Wyss Jianping Jin Sinjini Sikdar Mi Kyeong Lee Sebastian May-Wilson Nicola Pirastu Katherine A. Kentistou Peter K. Joshi Paul R. H. J. Timmers Alexander T. Williams Robert C. Free Xueyang Wang John L. Morrison Frank D. Gilliland Zhanghua Chen Carol A. Wang Rachel E. Foong

Abstract Lung function impairment underlies chronic obstructive pulmonary disease (COPD) and predicts mortality. In the largest multi-ancestry GWAS meta-analysis of lung to date, comprising 580,869 participants, 1020 independent association signals identified 559 genes supported by ≥2 criteria from a systematic variant-to-gene mapping framework. These were enriched in 29 pathways. Individual variants showed heterogeneity across ancestries, age smoking groups, collectively as genetic risk...

10.1101/2022.05.11.22274314 preprint EN cc-by medRxiv (Cold Spring Harbor Laboratory) 2022-05-14

Recent developments in high throughput genomic assays have opened up the possibility of testing hundreds and thousands genes simultaneously. However, adhering to regular statistical assumptions regarding null distributions test statistics such large-scale multiple frameworks has potential leading incorrect significance results biased inference. This problem gets worse when one combines from different independent experiments with a ending gross false discoveries significant genes. In this...

10.1371/journal.pone.0187287 article EN cc-by PLoS ONE 2017-10-31

Abstract Objective This study aimed to determine (i) associations between levels of the polycyclic aromatic hydrocarbon (PAH) mixture with 16 targeted PAH compounds in personal breathing zone area and sperm oxidative DNA damage, (ii) individual (iii) stress as mode action for genotoxic effects on sperm, (iv) any dose–response relationship exposure and/or damage. Methods Sixteen 38 coke-oven workers 24 control subjects were quantified using gas chromatography–mass spectrometry. Sperm damage...

10.1093/annweh/wxab072 article EN Annals of Work Exposures and Health 2021-08-18

It is known that all agents cause cancer (carcinogens) also a change in the DNA sequence. In order to identify such often subtle changes, we attempt integrate multiple molecular profile data sets released by International Cancer Genome Consortium (ICGC). The list of includes matched gene and microRNA expression profiles, somatic copy number variation, methylation, protein profiles for lung adenocarcinoma patients receiving treatments. We consider both unsupervised supervised learning...

10.1080/21628130.2015.1040618 article EN Systems Biomedicine 2014-07-03

Background Meta-analysis is a popular approach for combining results from multiple studies investigating the same questions. has gained wide popularity in genomic analysis due to availability of large volumes study public databases. In meta-analysis, researchers, often, tend combine p-values related significance testing gene where thousands genes are tested simultaneously. The traditional p-value combination approaches aim find which differentially expressed at least one studies. An...

10.1177/26320843231191645 article EN other-oa Research Methods in Medicine & Health Sciences 2023-07-26

Abstract In recent years, meta-analyzing summary results from multiple studies has become a common practice in genomic research, leading to significant improvement the power of statistical detection compared an individual study. Meta analysis methods that combine estimates across are known be statistically more powerful than those combining significance measures. An approach effect size based on fixed-effects model, called METAL, gained extreme popularity perform former type meta-analysis....

10.1515/sagmb-2023-0041 article EN Statistical Applications in Genetics and Molecular Biology 2024-01-01

In proteomics, identification of proteins from complex mixtures extracted biological samples is an important problem. Among the experimental technologies, mass spectrometry (MS) most popular one. Protein MS data typically relies on a ‘two-step’ procedure identifying peptide first followed by separate protein next. this setup, interdependence peptides and neglected resulting in relatively inaccurate identification. article, we propose Markov chain Monte Carlo based Bayesian hierarchical...

10.1080/02664763.2018.1454893 article EN Journal of Applied Statistics 2018-03-25

TPS 911: Air pollution, epigenetics, biomarkers, Exhibition Hall, Ground floor, August 26, 2019, 3:00 PM - 4:30 Background: Cigarette smoke has genome-wide impacts on blood DNA methylation in newborns exposed to maternal smoking during pregnancy and adults from their own smoking. However, it is not known whether there a unique signature for utero exposure compared with personal adults. Methods: We meta-analyzed methylation, assessed the Illumina450K array, relation sustained 5,648 (897...

10.1097/01.ee9.0000608632.67094.7e article EN cc-by-nc-nd Environmental Epidemiology 2019-10-01
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