Breakthrough epigenetic study can improve the power to predict disease risk
About 20 years ago when the human genome was sequenced scientists anticipated that it would lead to a better understanding of many diseases. Scientists also learned that, in addition to DNA sequence, another stable level of molecular information – epigenetic modifications established during development – also can affect one’s risk of disease.
For over a decade researchers have studied these epigenetic modifications to test associations with disease. Today more than 1,000 such epigenome-wide association studies have been published, and although associations have been found, most of disease risk is still unaccounted for.
In a study published in the journal Genome Biology, a team led by researchers at Baylor College of Medicine reveals a breakthrough approach that increases the ability to predict disease risk by 70-fold, when compared with previous studies.
“Most people know that each person has a unique set of genes or genome, but it is less known that each cell of the body also has an additional level of molecular individuality called the epigenome,” said co-corresponding author Dr. Robert A. Waterland, professor of pediatrics – nutrition at Baylor’s USDA/ARS Children’s Nutrition Research Center.
Unveiling the role of the epigenome on disease risk
The epigenome – which means ‘above’ the genome – is a system for molecular markings of DNA that tells different cells in the body which genes to turn on or off in that cell type. “The epigenome of one person is different from that of another person, and epigenetic differences between people can affect their risk of disease,” said Waterland, a member of the Dan L Duncan Comprehensive Cancer Center at Baylor.
For the last 15 years, the Waterland lab and colleagues have focused on a particular set of CpG sites: those at which DNA methylation differs substantially among people but is consistent across the different tissues of each person.
This is important because looking into these DNA regions in a blood sample can be used to investigate epigenetic differences in other internal organs like the brain or heart.
“Three years ago we reported nearly 10,000 such regions in the human genome, named CoRSIVs for correlated regions of systemic interindividual variation. We proposed that studying them could be a novel way to uncover epigenetic causes of disease,” Waterland said.
As a step toward this, the current study investigated how DNA methylation at CoRSIVs is affected by genetics. Correlations between a genetic variant and methylation at a specific CpG site are called methylation quantitative trait loci (mQTL). More than 200 studies of human mQTL have been reported, nearly all using the commercial methylation arrays.
The team developed an approach to target CoRSIVs and studied their methylation in DNA samples from multiple tissues of nearly 200 individuals. When they compared their results with those of the largest previous study, “what we found was somewhat of a shock,” said first author Dr. Chathura J. Gunasekara, a data analyst in the Waterland lab. “Compared to the most powerful previous study including 33,000 people, our much smaller study focused on CoRSIVs discovered 72-times more mQTL.”
Looking to explain this surprising finding, the team discovered that around 95% of the CpG sites on the commercial methylation arrays do not show appreciable methylation differences among people. Interindividual variation, which scientists call variance, is the foundation for statistical associations. With no population variance, there is no possibility of detecting mQTL.
“This finding also should shock the field of epigenetic epidemiology. Population variance is essential not only for mQTL detection, but also for detecting associations between DNA methylation and risk of disease,” said co-corresponding author Dr. Cristian Coarfa, associate professor of molecular and cellular biology and in the Dan L Duncan Comprehensive Cancer Center and the Center for Precision Environmental Health at Baylor.
Compared to what the field has been doing, we anticipate that focusing on CoRSIVs will make epigenome-wide association studies about 70 times more powerful,” Coarfa said.
Indeed, CoRSIVs have already been associated with diverse health outcomes including thyroid function, cognition, cleft palate, schizophrenia, childhood obesity and autism spectrum disorder.
“It’s as if there’s been this massive and very expensive fishing expedition for the last 10 years, but everyone’s been fishing in the wrong place,” Waterland said. “We hope that the new tool we’ve developed will accelerate progress in understanding epigenetic causality of disease.”
Other contributors to this work include Harry MacKay, C. Anthony Scott, Shaobo Li, Eleonora Laritsky, Maria S. Baker, Sandra L. Grimm, Goo Jun, Yumei Li, Rui Chen and Joseph L. Wiemels. The authors are affiliated with Baylor College of Medicine, University of Southern California or University of Texas Health Science Center at Houston.
Funding for this project was provided by NIH/NIDDK (1R01DK111522), the Cancer Prevention and Research Institute of Texas (RP170295), the USDA/ARS (CRIS 3092-5-001-059), NIH shared Instrument grant S10OD023469, the Common Fund of the Office of the Director of the National Institutes of Health, and by NCI, NHGRI, NHLBI, NIDA, NIMH and NINDS.
Read more: in their interview with The Cancer Letter, Drs. Waterland and Coarfa reveal the obstacles they encountered to get the paper published, why they see CoRSIVs as the new standard in epigenetic epidemiology and more.
