# Risk Prediction of Symptomatic Gallbladder Disease

> **NIH NIH K01** · MASSACHUSETTS GENERAL HOSPITAL · 2020 · $159,192

## Abstract

PROJECT SUMMARY/ ABSTRACT
This K01 career development award applicant is trained as a genetic epidemiologist and his research has
 genome wide association studies
(GWAS) of gastrointestinal diseases such as colorectal adenoma and gallstone disease. He recently led a
study that identified novel genetic markers of gallstone disease in a GWAS meta-analyses within 10
international cohorts. In this proposal, the candidate seeks to continue his work on gallbladder disease, and
work on application of knowledge from `omic' studies, into the clinic for individualized patient care. He plans to
develop metabolomics based biomarkers to predict the risk of symptomatic gallbladder disease. He will then
determine their clinical effectiveness in predicting persistence of symptoms in cholecystectomy patients, and
the cost-effectiveness of these biomarker tools using mathematical simulation models. The overarching
hypothesis of this proposal is that metabolomic signatures can accurately distinguish patients with biliary-type
pain that are more likely to benefit from cholecystectomy from those for whom cholecystectomy may be
unnecessary. This proposal will allow him to expand his training from the population-based setting to patient
oriented research, and gain experience in comparative effectiveness analyses. To complete this proposal, the
candidate will require additional training in the areas of decision sciences, patient oriented research and
metabolomics. He will benefit from a multidisciplinary mentoring committee, consisting of internationally
recognized experts in gastroenterology, clinical epidemiology, health decision sciences, biomarker
epidemiology, and metabolomics. His training plan, developed with close supervision of his mentoring
committee, will include didactic coursework at HSPH with the objective to gain fluency with key concepts in
these training areas. The candidate's primary mentor Dr. Andrew T. Chan has an established track record of
effectively mentoring fellows and junior faculty towards successful academic careers. His research advisory
committee will not only provide methodological expertise, but also mentoring support, guidance and critical
focused so far on gene-environment interactions in the risk of cancers, and
feedback to
ensure the candidate's transition towards independence
. The research environment, which
includes MGH Clinical and Translational Epidemiology Unit, MGH Division of Gastroenterology, the Channing
Division of Network Medicine, The Harvard Clinical and Translational Science Center and the Harvard T H
Chan School of Public Health will provide vast collaborative resources, relevant advanced course-work,
seminars and other didactic training opportunities for the candidate during this critical developmental period.
Through this award, the candidate will realize his long term goal of becoming an independent translational
investigator, and establishing a research program in a clinical setting, with specific focus on gastroi...

## Key facts

- **NIH application ID:** 9982903
- **Project number:** 5K01DK110267-05
- **Recipient organization:** MASSACHUSETTS GENERAL HOSPITAL
- **Principal Investigator:** Amit Dolar Joshi
- **Activity code:** K01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $159,192
- **Award type:** 5
- **Project period:** 2016-09-01 → 2023-01-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/9982903

## Citation

> US National Institutes of Health, RePORTER application 9982903, Risk Prediction of Symptomatic Gallbladder Disease (5K01DK110267-05). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/9982903. Licensed CC0.

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