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Protocol for a case–control study investigating the clinical phenotypes and genetic regulation of endometriosis in Indian women: the ECGRI study

INTRODUCTION: Endometriosis is one of the common, gynaecological disorders associated with chronic pelvic pain and subfertility affecting ~10% of reproductive age women. The clinical presentation, etiopathogenesis of endometriosis subtypes and associated risk factors are largely unknown. Genome-Wide...

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Autores principales: Gajbhiye, Rahul K., Montgomery, Grant, Pai, Murlidhar V, Phukan, Pranay, Shekhar, Shashank, Padte, Kedar, DasMahapatra, Pramathes, John, Bimal M., Shembekar, Chaitanya, Bhurke, Aishwarya V., Bagde, Nilajkumar, Kulkarni, Ketki, Sardeshpande, Nagendra, Humane, Anil, Mahobia, Swati, Shah, Millind, Singh, Uma, Srivastava, Aarti, Mishra, Gita, Warty, Neeta, Chandra, Sunita, Mahale, Smita D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8354274/
https://www.ncbi.nlm.nih.gov/pubmed/34373312
http://dx.doi.org/10.1136/bmjopen-2021-050844
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author Gajbhiye, Rahul K.
Montgomery, Grant
Pai, Murlidhar V
Phukan, Pranay
Shekhar, Shashank
Padte, Kedar
DasMahapatra, Pramathes
John, Bimal M.
Shembekar, Chaitanya
Bhurke, Aishwarya V.
Bagde, Nilajkumar
Kulkarni, Ketki
Sardeshpande, Nagendra
Humane, Anil
Mahobia, Swati
Shah, Millind
Singh, Uma
Srivastava, Aarti
Mishra, Gita
Warty, Neeta
Chandra, Sunita
Mahale, Smita D.
author_facet Gajbhiye, Rahul K.
Montgomery, Grant
Pai, Murlidhar V
Phukan, Pranay
Shekhar, Shashank
Padte, Kedar
DasMahapatra, Pramathes
John, Bimal M.
Shembekar, Chaitanya
Bhurke, Aishwarya V.
Bagde, Nilajkumar
Kulkarni, Ketki
Sardeshpande, Nagendra
Humane, Anil
Mahobia, Swati
Shah, Millind
Singh, Uma
Srivastava, Aarti
Mishra, Gita
Warty, Neeta
Chandra, Sunita
Mahale, Smita D.
author_sort Gajbhiye, Rahul K.
collection PubMed
description INTRODUCTION: Endometriosis is one of the common, gynaecological disorders associated with chronic pelvic pain and subfertility affecting ~10% of reproductive age women. The clinical presentation, etiopathogenesis of endometriosis subtypes and associated risk factors are largely unknown. Genome-Wide Association (GWA) Studies (GWAS) provide strong evidence for the role of genetic risk factors contributing to endometriosis. However, no studies have investigated the association of the GWAS-identified single-nucleotide polymorphism (SNPs) with endometriosis risk in the Indian population; therefore, one-sixth of the world’s population is not represented in the global genome consortiums on endometriosis. The Endometriosis Clinical and Genetic Research in India (ECGRI) study aims to broaden our understanding of the clinical phenotypes and genetic risks associated with endometriosis. METHODS AND ANALYSIS: ECGRI is a large-scale, multisite, case–control study of 2000 endometriosis cases and 2000 hospital controls to be recruited over 4 years at 15 collaborating study sites across India covering representative Indian population from east, north-east, north, central, west and southern geographical zones of India. We will use the World Endometriosis Research Foundation Endometriosis Phenome and Biobanking Harmonisation Project (WERF-EPHect) data collection instruments for capturing information on clinical, epidemiological, lifestyle, environmental and surgical factors. WERF-EPHect standard operating procedures will be followed for the collection, processing and storage of biological samples. The principal analyses will be for main outcome measures of the incidence of endometriosis, disease subtypes and disease severity determined from the clinical data. This will be followed by GWAS within and across ethnic groups. ETHICS AND DISSEMINATION: The study is approved by the Institutional Ethics Committee of Indian Council of Medical Research-National Institute for Research in Reproductive Health and all participating study sites. The study is also approved by the Health Ministry Screening Committee of the Government of India. The results from this study will be actively disseminated through discussions with endometriosis patient groups, conference presentations and published manuscripts.
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spelling pubmed-83542742021-08-24 Protocol for a case–control study investigating the clinical phenotypes and genetic regulation of endometriosis in Indian women: the ECGRI study Gajbhiye, Rahul K. Montgomery, Grant Pai, Murlidhar V Phukan, Pranay Shekhar, Shashank Padte, Kedar DasMahapatra, Pramathes John, Bimal M. Shembekar, Chaitanya Bhurke, Aishwarya V. Bagde, Nilajkumar Kulkarni, Ketki Sardeshpande, Nagendra Humane, Anil Mahobia, Swati Shah, Millind Singh, Uma Srivastava, Aarti Mishra, Gita Warty, Neeta Chandra, Sunita Mahale, Smita D. BMJ Open Obstetrics and Gynaecology INTRODUCTION: Endometriosis is one of the common, gynaecological disorders associated with chronic pelvic pain and subfertility affecting ~10% of reproductive age women. The clinical presentation, etiopathogenesis of endometriosis subtypes and associated risk factors are largely unknown. Genome-Wide Association (GWA) Studies (GWAS) provide strong evidence for the role of genetic risk factors contributing to endometriosis. However, no studies have investigated the association of the GWAS-identified single-nucleotide polymorphism (SNPs) with endometriosis risk in the Indian population; therefore, one-sixth of the world’s population is not represented in the global genome consortiums on endometriosis. The Endometriosis Clinical and Genetic Research in India (ECGRI) study aims to broaden our understanding of the clinical phenotypes and genetic risks associated with endometriosis. METHODS AND ANALYSIS: ECGRI is a large-scale, multisite, case–control study of 2000 endometriosis cases and 2000 hospital controls to be recruited over 4 years at 15 collaborating study sites across India covering representative Indian population from east, north-east, north, central, west and southern geographical zones of India. We will use the World Endometriosis Research Foundation Endometriosis Phenome and Biobanking Harmonisation Project (WERF-EPHect) data collection instruments for capturing information on clinical, epidemiological, lifestyle, environmental and surgical factors. WERF-EPHect standard operating procedures will be followed for the collection, processing and storage of biological samples. The principal analyses will be for main outcome measures of the incidence of endometriosis, disease subtypes and disease severity determined from the clinical data. This will be followed by GWAS within and across ethnic groups. ETHICS AND DISSEMINATION: The study is approved by the Institutional Ethics Committee of Indian Council of Medical Research-National Institute for Research in Reproductive Health and all participating study sites. The study is also approved by the Health Ministry Screening Committee of the Government of India. The results from this study will be actively disseminated through discussions with endometriosis patient groups, conference presentations and published manuscripts. BMJ Publishing Group 2021-08-09 /pmc/articles/PMC8354274/ /pubmed/34373312 http://dx.doi.org/10.1136/bmjopen-2021-050844 Text en © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY. Published by BMJ. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See: https://creativecommons.org/licenses/by/4.0/.
spellingShingle Obstetrics and Gynaecology
Gajbhiye, Rahul K.
Montgomery, Grant
Pai, Murlidhar V
Phukan, Pranay
Shekhar, Shashank
Padte, Kedar
DasMahapatra, Pramathes
John, Bimal M.
Shembekar, Chaitanya
Bhurke, Aishwarya V.
Bagde, Nilajkumar
Kulkarni, Ketki
Sardeshpande, Nagendra
Humane, Anil
Mahobia, Swati
Shah, Millind
Singh, Uma
Srivastava, Aarti
Mishra, Gita
Warty, Neeta
Chandra, Sunita
Mahale, Smita D.
Protocol for a case–control study investigating the clinical phenotypes and genetic regulation of endometriosis in Indian women: the ECGRI study
title Protocol for a case–control study investigating the clinical phenotypes and genetic regulation of endometriosis in Indian women: the ECGRI study
title_full Protocol for a case–control study investigating the clinical phenotypes and genetic regulation of endometriosis in Indian women: the ECGRI study
title_fullStr Protocol for a case–control study investigating the clinical phenotypes and genetic regulation of endometriosis in Indian women: the ECGRI study
title_full_unstemmed Protocol for a case–control study investigating the clinical phenotypes and genetic regulation of endometriosis in Indian women: the ECGRI study
title_short Protocol for a case–control study investigating the clinical phenotypes and genetic regulation of endometriosis in Indian women: the ECGRI study
title_sort protocol for a case–control study investigating the clinical phenotypes and genetic regulation of endometriosis in indian women: the ecgri study
topic Obstetrics and Gynaecology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8354274/
https://www.ncbi.nlm.nih.gov/pubmed/34373312
http://dx.doi.org/10.1136/bmjopen-2021-050844
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