Defining Endometriosis Physiologic Subphenotypes and Subsequent Cancer and Comorbidities Risk Through Discovery of Novel Genetic Variants

Abstract

The main objectives of this study are: 1) To identify novel genetic variants associated with specific endometriosis sub-phenotypes defined by symptom and macro-surgically visualized presentation. These novel sub-phenotype-specific variants will suggest distinct physiologic pathways that underlie the poorly understood endometriosis heterogeneity, potentially catalyzing discovery of precision medicine treatment and prevention targets. 2) To determine the common and unique genetic variants that are associated with the higher risk of subsequent development of cancers, autoimmune and cardiovascular diseases among women with endometriosis. To address these objectives, we will capitalize upon our ongoing International Endometriosis Genome Consortium (IEGC) investigations and deploy our existing genetic analysis pipeline on a wider scale. The IEGC is a consortium of well-established case: control and cohort studies all of which have completed genome-wide genotyping of their participants. Within the IEGC, nine studies have harmonized clinical data compliant with the Endometriosis Phenome and Biobanking Harmonization Project (WERF-EPHect) tools to facilitate deeply phenotyped definitions of potentially informative endometriosis sub-phenotypes.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2023
Accession Number
AD1216512

Entities

People

  • Amy Shafrir
  • Ana Vazquez
  • Kathryn L. Terry
  • Laurie Fitzpatrick
  • Madhavi Kulkarni
  • Mary Paiz
  • Naoko Sasamoto
  • Stacey Missmer

Organizations

  • Boston Children's Hospital
  • Michigan State University

Tags

DTIC Thesaurus Topics

  • Autoimmune Diseases
  • Blood
  • Cardiovascular Diseases
  • Covid-19
  • Cytokines
  • Data Analysis
  • Disease Attributes
  • Diseases
  • Fatty Acids
  • Health Services
  • Medical Personnel
  • Pain
  • Patient Care
  • Personalized Medicine
  • Proteins
  • Therapy

Fields of Study

  • Biology

Readers

  • Molecular and Cellular Biology
  • Molecular and genetic basis of cancer.
  • Systems Analysis and Design

Technology Areas

  • Biotechnology