Parichoy Pal Choudhury

ORCID: 0000-0002-0857-0230
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About
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Research Areas
  • Global Cancer Incidence and Screening
  • BRCA gene mutations in cancer
  • Genetic Associations and Epidemiology
  • Cancer Risks and Factors
  • Health, Environment, Cognitive Aging
  • Nutrition, Genetics, and Disease
  • Breast Cancer Treatment Studies
  • Cardiovascular Health and Risk Factors
  • Cancer-related molecular mechanisms research
  • Epigenetics and DNA Methylation
  • Lung Cancer Treatments and Mutations
  • Statistical Methods in Clinical Trials
  • Cancer Genomics and Diagnostics
  • Research Data Management Practices
  • Bladder and Urothelial Cancer Treatments
  • Advanced Causal Inference Techniques
  • Artificial Intelligence in Healthcare
  • Statistical Methods and Inference
  • Colorectal Cancer Screening and Detection
  • Economic and Financial Impacts of Cancer
  • Adipose Tissue and Metabolism
  • Security in Wireless Sensor Networks
  • RNA modifications and cancer
  • DNA Repair Mechanisms
  • Frailty in Older Adults

American Cancer Society
2023-2025

Division of Cancer Epidemiology and Genetics
2019-2024

National Cancer Institute
2019-2024

National Institutes of Health
2020-2023

Johns Hopkins University
2016-2021

Government of the United States of America
2021

Cancer Research UK
2020

Montserrat Volcano Observatory
2020

University of North Carolina at Chapel Hill
2020

University of Cambridge
2020

Anqi Wang Jiayi Shen Alex A Rodriguez Edward J. Saunders Fei Chen and 95 more Rohini Janivara Burcu F. Darst Xin Sheng Yili Xu Alisha Chou Sara Benlloch Tokhir Dadaev Mark N. Brook Anna Plym Ali Sahimi Thomas J Hoffman Atushi Takahashi Koichi Matsuda Yukihide Momozawa Masashi Fujita Triin Laisk Jéssica Figuerêdo Kenneth Muir Shuji Ito Xiaoxi Liu Yuji Uchio Michiaki Kubo Yoichiro Kamatani Artitaya Lophatananon Peggy Wan Caroline Andrews Adriana Lori Parichoy Pal Choudhury Johanna Schleutker Teuvo L.J. Tammela Csilla Sipeky Anssi Auvinen Graham G. Giles Melissa C. Southey Robert J. MacInnis Cezary Cybulski Dominika Wokołorczyk Jan Lubiński Christopher T. Rentsch Kelly Cho Benjamin H. McMahon David E. Neal Jenny L. Donovan Freddie C. Hamdy Richard M. Martin Børge G. Nordestgaard Sune F. Nielsen Maren Weischer Stig E. Bojesen Martin Andreas Røder Hein Vincent Stroomberg Jyotsna Batra Suzanne K. Chambers Lisa G. Horvath Judith A. Clements Wayne Tilly Gail P. Risbridger Henrik Grönberg Markus Aly Robert Szulkin Martin Eklund Tobias Nordström Nora Pashayan Alison M. Dunning Maya Ghoussaini Ruth C. Travis Timothy J. Key Elio Ríboli Jong Y. Park Thomas A. Sellers Hui-Yi Lin Demetrius Albanes Stephanie J. Weinstein Michael B. Cook Lorelei A. Mucci Edward Giovannucci Sara Lindström Peter Kraft David J. Hunter Kathryn L. Penney Constance Turman Catherine M. Tangen Phyllis J. Goodman Ian M. Thompson Robert J. Hamilton Neil E. Fleshner Antonio Finelli Marie‐Élise Parent Janet L. Stanford Elaine A. Ostrander Stella Koutros Laura E. Beane Freeman Meir Stampfer Alicja Wolk Niclas Håkansson

10.1038/s41588-023-01534-4 article EN Nature Genetics 2023-11-09
Yan Zhang Amber N. Hurson Haoyu Zhang Parichoy Pal Choudhury Douglas F. Easton and 95 more Roger L. Milne Jacques Simard Per Hall Kyriaki Michailidou Joe Dennis Marjanka K. Schmidt Jenny Chang‐Claude Puya Gharahkhani David C. Whiteman Peter T. Campbell Michael Hoffmeister Mark A. Jenkins Ulrike Peters Li Hsu Stephen B. Gruber Graham Casey Stephanie L. Schmit Tracy A. O’Mara Amanda B. Spurdle Deborah J. Thompson Ian Tomlinson Immaculata De Vivo Maria Teresa Landi Matthew H. Law Mark M. Iles Florence Démenais Rajiv Kumar Stuart MacGregor D. Timothy Bishop Sarah V. Ward Melissa L. Bondy Richard S. Houlston John K. Wiencke Beatrice Melin Jill S. Barnholtz‐Sloan Ben Kinnersley Margaret Wrensch Christopher I. Amos Rayjean J. Hung Paul Brennan James McKay Neil E. Caporaso Sonja I. Berndt Brenda M. Birmann Nicola J. Camp Peter Kraft Nathaniel Rothman Susan L. Slager Andrew Berchuck Paul D.P. Pharoah Thomas A. Sellers Simon A. Gayther Celeste Leigh Pearce Ellen L. Goode Joellen M. Schildkraut Kirsten B. Moysich Laufey T. Ámundadóttir Eric J. Jacobs Alison P. Klein Gloria M. Petersen Harvey A. Risch Rachel Z. Stolzenberg-Solomon Brian M. Wolpin Donghui Li Rosalind A. Eeles Christopher A. Haiman Zsofia Kote‐Jarai Fredrick R. Schumacher Ali Amin Al Olama Mark P. Purdue Ghislaine Scélo Marlene Dalgaard Mark H. Greene Tom Grotmol Peter A. Kanetsky Katherine A. McGlynn Katherine L. Nathanson Clare Turnbull Fredrik Wiklund Douglas F. Easton Roger L. Milne Jacques Simard Per Hall Kyriaki Michailidou Joe Dennis Marjanka K. Schmidt Jenny Chang‐Claude Puya Gharahkhani David C. Whiteman Peter T. Campbell Michael Hoffmeister Mark A. Jenkins Ulrike Peters Li Hsu Stephen B. Gruber

Abstract Genome-wide association studies (GWAS) have led to the identification of hundreds susceptibility loci across cancers, but impact further remains uncertain. Here we analyse summary-level data from GWAS European ancestry fourteen cancer sites estimate number common variants (polygenicity) and underlying effect-size distribution. All cancers show a high degree polygenicity, involving at minimum thousands loci. We project that sample sizes required explain 80% heritability vary 60,000...

10.1038/s41467-020-16483-3 article EN cc-by Nature Communications 2020-07-03

This report describes an R package, called the Individualized Coherent Absolute Risk Estimator (iCARE) tool, that allows researchers to build and evaluate models for absolute risk apply them estimate individual’s of developing disease during a specified time interval based on set user defined input parameters. An attractive feature software is it gives users flexibility update rapidly new knowledge factors tailor different populations by specifying three arguments: model relative risk,...

10.1371/journal.pone.0228198 article EN public-domain PLoS ONE 2020-02-05

Abstract Background External validation of risk models is critical for risk-stratified breast cancer prevention. We used the Individualized Coherent Absolute Risk Estimation (iCARE) as a flexible tool model development and comparative to make projections population stratification. Methods Performance two recently developed models, one based on Breast Prostate Cancer Cohort Consortium analysis (iCARE-BPC3) another literature review (iCARE-Lit), were compared with established (Breast...

10.1093/jnci/djz113 article EN JNCI Journal of the National Cancer Institute 2019-05-30

Abstract Background The Breast and Ovarian Analysis of Disease Incidence Carrier Estimation Algorithm (BOADICEA) the Tyrer-Cuzick breast cancer risk prediction models are commonly used in clinical practice have recently been extended to include polygenic scores (PRS). In addition, BOADICEA has also reproductive lifestyle factors, which were already part model. We conducted a comparative prospective validation these after incorporating developed 313-variant PRS. Methods Calibration...

10.1186/s13058-021-01399-7 article EN cc-by Breast Cancer Research 2021-02-15

Rigorous evaluation of the calibration and discrimination breast-cancer risk-prediction models in prospective cohorts is critical for applications under clinical guidelines. We comprehensively evaluated an integrated model incorporating classical risk factors a 313-variant polygenic score (PRS) to predict risk.Fifteen from six countries with 239 340 women (7646 incident cases) European ancestry aged 19-75 years were included. Calibration 5-year was assessed by comparing expected observed...

10.1093/ije/dyab036 article EN public-domain International Journal of Epidemiology 2021-02-19

Lung cancer mortality rates in the United States have declined steeply recent decades, largely because of substantial reductions smoking prevalence, as approximately 85% lung deaths are attributable to cigarette smoking. In this study, authors estimate number averted and corresponding person-years life gained during 1970-2022 a measure progress prevention through tobacco control. By using National Center for Health Statistics data (with national coverage), calculated expected each year, age,...

10.3322/caac.70005 article EN CA A Cancer Journal for Clinicians 2025-03-25
Pooja Middha Nasim Mavaddat Parichoy Pal Choudhury Amber N. Wilcox Sara Lindström and 95 more Sabine Behrens Kyriaki Michailidou Joe Dennis Manjeet K. Bolla Qin Wang Audrey Jung Zomoroda Abu‐Ful Thomas U. Ahearn Irene L. Andrulis Hoda Anton‐Culver Volker Arndt Kristan J. Aronson Paul L. Auer Laura E. Beane Freeman Heiko Becher Matthias W. Beckmann Alicia Beeghly‐Fadiel Javier Benı́tez Leslie Bernstein Stig E. Bojesen Hiltrud Brauch Hermann Brenner Thomas Brüning Qiuyin Cai Daniele Campa Federico Canzian Ángel Carracedo Brian D. Carter Jose E. Castelao Stephen J. Chanock Nilanjan Chatterjee Georgia Chenevix‐Trench Christine L. Clarke Fergus J. Couch Angela Cox Simon S. Cross Kamila Czene James Y. Dai H. Shelton Earp Arif B. Ekici A. Heather Eliassen Mikael Eriksson D. Gareth Evans Peter A. Fasching Jonine D. Figueroa Lin Fritschi Marike Gabrielson Manuela Gago‐Dominguez Chi Gao Susan M. Gapstur Mia M. Gaudet Graham G. Giles Anna González‐Neira Pascal Guénel Lothar Haeberle Christopher A. Haiman Niclas Håkansson Per Hall Ute Hamann Sigrid Hatse Jane Heyworth Bernd Holleczek Robert N. Hoover John L. Hopper Anthony Howell David J. Hunter Esther M. John Michael E. Jones Rudolf Kaaks Renske Keeman Cari M. Kitahara Yon-Dschun Ko Stella Koutros Allison W. Kurian Diether Lambrechts Loı̈c Le Marchand Eunjung Lee Flavio Lejbkowicz Martha S. Linet Jolanta Lissowska Ana Llaneza Robert J. MacInnis Maria Elena Martinez Tabea Maurer Catriona McLean Susan L. Neuhausen William G. Newman Aaron D. Norman Katie M. O’Brien Andrew F. Olshan Janet E. Olson Håkan Olsson Nick Orr Charles M. Perou Guillermo Pita

We evaluated the joint associations between a new 313-variant PRS (PRS313) and questionnaire-based breast cancer risk factors for women of European ancestry, using 72 284 cases 80 354 controls from Breast Cancer Association Consortium. Interactions were standard logistic regression newly developed case-only method overall by estrogen receptor status. After accounting multiple testing, we did not find evidence that per-standard deviation PRS313 odds ratio differed across strata defined...

10.1093/jnci/djaa056 article EN cc-by JNCI Journal of the National Cancer Institute 2020-04-23

Abstract Data sharing is essential for reproducibility of epidemiologic research, replication findings, pooled analyses in consortia efforts, and maximizing study value to address multiple research questions. However, barriers related confidentiality, costs, incentives often limit the extent speed data sharing. Epidemiological practices that follow Findable, Accessible, Interoperable, Reusable (FAIR) principles can these by making resources findable with necessary metadata, accessible...

10.1093/aje/kwad040 article EN public-domain American Journal of Epidemiology 2023-02-18

Abstract Background. The etiology of second primary cancers among survivors older adult-onset is largely known. There limited data as to whether genetic predisposition increases the risk cancer survivors. Methods. This analysis was conducted men and women enrolled in Cancer Prevention Study II Nutrition cohort who were diagnosed with a first non-metastatic incident between 1992 2015. Survivors followed-up until 2017 for diagnosis at different organ. Analyses restricted participants data,...

10.1158/1538-7445.am2025-7419 article EN Cancer Research 2025-04-21

Abstract There is limited knowledge of the sociodemographic characteristics individuals who are fully adherent to all recommended cancer screening tests. Understanding these gaps may provide insights into subpopulations benefit from interventions increase overall early detection. The Cancer Prevention Study- 3 a prospective cohort study established by American Society (enrollment 2006-2013). Between enrollment and 2018, cancer-free participants reported tests (mammography, colonoscopy,...

10.1158/1538-7445.am2025-7345 article EN Cancer Research 2025-04-21

Objectives Evidence suggests vitamin D deficiency is associated with developing frailty. However, cardiometabolic factors are related to both conditions and may confound and/or mediate the D–frailty association. We aimed determine association of concentration incidence frailty, role diseases (cardiovascular disease, diabetes, hyperlipidemia, hypertension) in this relationship. Design Prospective longitudinal cohort study (7 visits from 1994–2008). Setting Baltimore, Maryland. Participants...

10.1111/jgs.14677 article EN Journal of the American Geriatrics Society 2016-12-23

Abstract Background: Risk estimates for women carrying germline mutations in breast cancer susceptibility genes are mainly based on studies of European ancestry women. Methods: We investigated associations between pathogenic variants (PV) 34 with risk 871 cases [307 estrogen receptor (ER)-positive, 321 ER-negative, and 243 ER-unknown] 1,563 controls the Ghana Breast Health Study (GBHS), estimated lifetime carriers. compared results those European, Asian, African American Results: The...

10.1158/1055-9965.epi-21-1397 article EN Cancer Epidemiology Biomarkers & Prevention 2022-06-02

Abstract Introduction Community health centers (CHCs) provide historically marginalized populations with primary care, including cancer screening. Previous studies have reported that women living in rural areas are less likely to be up date cervical screening than urban areas. However, little is known about rural–urban differences CHCs and the contributing factors, whether such changed during COVID‐19 pandemic. Methods Using 8‐year pooled Uniform Data System (2014‐2021) data Oaxaca‐Blinder...

10.1002/cncr.35265 article EN Cancer 2024-03-25

Interleukin 10tm1Cgn (IL 10tm) mice have been utilized as a model of chronic inflammation and declining health span because their propensity to develop activation in NFkB pathways, skeletal muscle cardiac changes, mitochondrial dysfunction. We hypothesized that older IL 10tm frail would alterations similar frail, humans measured parameters glucose metabolism, oxygen consumption (VO2), respiratory quotient (RQ), spontaneous locomotor activity, body composition plasma adipokine levels. To test...

10.1371/journal.pone.0186811 article EN public-domain PLoS ONE 2017-12-21
Yan Zhang Amber N. Wilcox Haoyu Zhang Parichoy Pal Choudhury Douglas F. Easton and 82 more Roger L. Milne Jacques Simard Per Hall Kyriaki Michailidou Joe Dennis Marjanka K. Schmidt Jenny Chang‐Claude Puya Gharahkhani David C. Whiteman Peter T. Campbell Michael Hoffmeister Mark A. Jenkins Ulrike Peters Li Hsu Stephen B. Gruber Graham Casey Stephanie L. Schmit Tracy A. O’Mara Amanda B. Spurdle Deborah J. Thompson Ian Tomlinson Immaculata De Vivo Maria Teresa Landi Matthew H. Law Mark M. Iles Florence Démenais Rajiv Kumar Stuart MacGregor D. Timothy Bishop Sarah V. Ward Melissa L. Bondy Richard S. Houlston John K. Wiencke Beatrice Melin Jill S. Barnholtz‐Sloan Ben Kinnersley Margaret Wrensch Christopher I. Amos Rayjean J. Hung Paul Brennan James McKay Neil E. Caporaso Sonja Berndt Brenda M. Birmann Nicola J. Camp Peter Kraft Nathaniel Rothman Susan L. Slager Andrew Berchuck Paul D.P. Pharoah Thomas A. Sellers Simon A. Gayther Celeste Leigh Pearce Ellen L. Goode Joellen M. Schildkraut Kirsten B. Moysich Laufey T. Ámundadóttir Eric J. Jacobs Alison P. Klein Gloria M. Petersen Harvey A. Risch Rachel Z. Stolzenberg-Solomon Brian M. Wolpin Donghui Li Rosalind A. Eeles Christopher A. Haiman Zsofia Kote‐Jarai Fredrick R. Schumacher Ali Amin Al Olama Mark P. Purdue Ghislaine Scélo Marlene Dalgaard Mark H. Greene Tom Grotmol Peter A. Kanetsky Katherine A. McGlynn Katherine L. Nathanson Clare Turnbull Fredrik Wiklund Stephen J. Chanock Nilanjan Chatterjee Montserrat García‐Closas

Abstract We analyzed summary-level data from genome-wide association studies (GWAS) of European ancestry across fourteen cancer sites to estimate the number common susceptibility variants (polygenicity) contributing risk, as well distribution their associated effect sizes. All cancers evaluated showed polygenicity, involving at a minimum thousands independent variants. For some malignancies, particularly chronic lymphoid leukemia (CLL) and testicular cancer, there are larger proportion with...

10.1101/723825 preprint EN bioRxiv (Cold Spring Harbor Laboratory) 2019-08-09

Abstract Ovarian cancer is a rare and highly heterogeneous disease usually detected at late stages when outcomes are poor. Population-based screening approaches have not been successful reducing ovarian mortality, but preventive bilateral salpingo-oophorectomy effective preventing in high-risk populations. risk prediction models may allow identification of populations increased for interventions or targeted early detection. We propose life-course approach to based on the time which model...

10.1093/aje/kwae293 article EN public-domain American Journal of Epidemiology 2024-08-21

Abstract This report describes a R package, called the Individualized Coherent Absolute Risk Estimation ( iCARE ) tool, that allows researchers to build and evaluate models for absolute risk apply them estimate an individual’s of developing disease during specified time interval based on set user defined input parameters. An attractive feature software is it gives users flexibility update rapidly new knowledge factors tailor different populations by specifying three arguments: (1) model...

10.1101/079954 preprint EN bioRxiv (Cold Spring Harbor Laboratory) 2016-10-12

Abstract Background Well-validated risk models are critical for stratified breast cancer prevention. We used the Individualized Coherent Absolute Risk Estimation (iCARE) tool comparative model validation of five-year invasive in a prospective cohort, and to make projections population stratification. Methods Performance two recently developed models, iCARE-BPC3 iCARE-Lit, were compared with established (BCRAT, IBIS) based on classical factors UK-based cohort 64,874 women (863 cases) aged...

10.1101/440347 preprint EN bioRxiv (Cold Spring Harbor Laboratory) 2018-10-19

Independent validation of risk prediction models in prospective cohorts is required for risk-stratified cancer prevention. Such studies often have a two-phase design, where information on expensive biomarkers are ascertained nested substudy the original cohort.We propose simple approach evaluating model discrimination that accounts incomplete follow-up and gains efficiency by using data from all individuals cohort irrespective whether they were sampled substudy. For AUC, we estimated...

10.1158/1055-9965.epi-19-1574 article EN Cancer Epidemiology Biomarkers & Prevention 2020-04-10
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