Digging into CRC’s gene-environment interactions
Peters and biostatistician Li Hsu, PhD, also received a five-year, $4.4 million grant from the NCI to further investigate colorectal cancer risk. Last year, Peters’ team and collaborators published research on 100 new genetic risk variants for the disease.
Now they plan to investigate gene-environment interactions in a diverse population using an integrative omics approach.
“The extent to which environmental risk factors such as lifestyle, diet, obesity, drug use and other factors modulate genetic risk — or vice versa — is poorly understood,” Peters said. “We urgently need a comprehensive approach that combines high-dimensional multi-omics data with diverse, large and well-characterized study populations and novel statistical approaches.”
Pinpointing which environmental factors influence genetic risk can provide key biological insights as well as provide guidance for personalized screening and actionable targets for interventions. Multi-omics methods, including single-cell technologies, have helped reveal cell-type specific biological processes and how environmental risk factors and genetic variants impact disease development.
But the lack of data on gene regulation in non-Europeans hampers progress.
The NCI grant will allow researchers to profile colorectal samples from 50 healthy racially and ethnically diverse participants as well as investigate “intermediate biomarkers” related to CRC, including glucose, insulin, and inflammatory markers such as interleukin-6 and C-reactive protein.
“We will use genetic instruments to predict biomarkers linked to metabolic dysregulation and inflammation, two important risk factors for CRC, and will incorporate them along with our measured exposures into gene-environment analyses,” Hsu said.
Resources include a data set containing 99,000 colorectal patients and 140,000 healthy participants or “controls,” of which over 21,000 of the cancer patients and over 35,000 of the control participants are of non-European descent.
“These data will be integrated with single-cell and existing biobank data and state-of-the-art resources and technologies to conduct a comprehensive functional-informed genomic gene plus environment examination and risk prediction analysis,” Peters said. “We hope to discover novel interactions by conducting a functionally informed, genome-wide gene-plus-environment interaction scan across the spectrum of key environmental risk factors, including obesity, diabetes, smoking, alcohol, drug use, diet and intermediate biomarkers linked to metabolic dysregulation and chronic inflammation.”
Ultimately, Peters, Hsu and others plan to integrate functional single-cell omics data within the largest CRC genetic-epidemiology database in the world to better understand the extent to which modifiable risk factors impact genetic risk in colorectal cancer (and vice versa).
Findings of this study are expected to impact CRC prevention by guiding lifestyle interventions, personalizing screening decisions and ultimately reducing the burden of this cancer.