How to find the ‘most relevant’ genes in your genome
What if you had a mutation in one gene that made you look a little bit like a certain group of people?
Or perhaps you just happen to have a trait that made your skin more likely to shed certain pigments?
Then you might want to check out a new study from the Broad Institute of MIT and Harvard.
The Broad Institute is a nonprofit that researches how genes are put into action and, more importantly, what they’re used for.
You can find a link to the study in the journal Science.
The research team looked at gene variants that have a strong influence on body composition and health.
It found that variants that influence body composition are more prevalent in women than men, but that this is not always the case.
This is because the researchers took a look at genes that affect the body composition of people of different races, ethnicities, and body types.
There are many variants in humans that are associated with body composition, and researchers are trying to find ways to improve those variants in order to help people live longer.
One variant, called the SLC6A4, is associated with a lower BMI and higher fat storage.
Another variant, known as the RAGE3B1, has been associated with elevated triglyceride levels, which are a risk factor for heart disease.
These are the kinds of variants that affect body composition in a way that has implications for disease.
So the researchers wanted to find variants that would also be associated with an increased risk of developing certain kinds of cancer.
They found variants that cause a more prominent fat storage response in the liver.
The more fat you store, the more it’s released into the bloodstream, and this results in a buildup of cholesterol in the blood.
And this buildup of LDL cholesterol is what causes inflammation, which causes the arteries to clog.
And the researchers found that this increased fat storage, and inflammation, can lead to a higher risk of certain types of cancer, including breast, colon, and lung cancers.
The study found that the more fat people store, and the more they’re exposed to inflammation, the higher their risk of some cancers, like breast, and colon and lung cancer.
But there was also some overlap between these variants, meaning that there were some variants that were associated with risk factors for certain types, like obesity, and others that were not associated with the risk of cancer at all.
The results of this study are pretty impressive.
“Our findings indicate that these variants are associated specifically with cancer risk in women and are also associated with obesity and/or inflammation,” the authors write.
“We also found that there are at least two variants that are not associated in this study.
These variants are likely to be differentially expressed in the different populations and have a common role in cancer risk.”
This means that they may be able to explain some of the association between these two types of variants.
So while we have known for some time that there’s an association between body composition changes and cancer risk, it’s been difficult to find evidence that these findings could be generalizable to other populations.
The authors also point out that the study found a lot of overlap in body composition variants in women, which may suggest that women are more vulnerable to these effects than men.
“These findings provide the first epidemiological evidence that BMI may influence risk of cancers of the breast, cervix, and/ or colon,” the researchers write.
The researchers hope that their findings will be useful to other researchers, as well as clinicians and patients.
The findings have some implications for public health, too.
People with certain genetic variants may be at higher risk for certain cancers.
For example, people with a mutation that causes fat storage in the pancreas, which is associated to diabetes and high blood pressure, may have an increased chance of developing breast cancer.
The finding also suggests that some genetic variants that predispose to obesity are also important for metabolic syndrome.
“It’s a good example of the power of sequencing for understanding disease,” says lead author John T. Gomes, an associate professor of genetics and epidemiology at MIT and director of the Broad’s Center for Biomedical Genomics and Epidemiology.
“I think it’s a great example of how the power and the flexibility of genome sequencing is going to be really useful to public health.”
Taryn O’Neill, a geneticist at the University of California, Berkeley, was not involved in the study, but was able to comment on the work.
“This is a really exciting study that shows there’s something interesting going on in these populations that’s been overlooked,” she says.
“There’s a lot more to the picture than we knew before, and that’s what really makes this study so important.”
The study is available online at: http://www.sciencemag.org/lookup/doi/10.1126/science.aaf0704/full