Researchers find how Alzheimers disease linked to genetic variants with brain cell function

These variants are mostly found in genomic areas that do not code for proteins, making it difficult to determine which variants increase an individual's risk of Alzheimer's disease. Non-coding variations were originally considered "junk DNA" by scientists. These variations have recently been recognised for their critical functions in modulating gene expression across tissues and cell types. However, tying these non-coding variations to the genes they regulate and their consequences on Alzheimer's disease-related functions is a difficult undertaking.

Now, researchers at the University of North Carolina at Chapel Hill and The University of California, San Francisco, have identified the connections of risk variants with functions in microglia and then how they may contribute to AD.

Microglia are brains immune cells and are critically important for AD, saidYun Li, professor of genetics and biostatistics in theUNC School of MedicineandUNC Gillings School of Global Public Health. Our study focuses squarely on the critical genomic regions that are important for regulating microglia cells. These variants and regions weve uncovered will serve as a great starting point for conducting further experiments in microglia.

Li andYin Shen, PhD, associate professor at the Institute of Human Genetics and the Department of Neurology at UC-San Francisco, and their teams performed a detailed analysis in microglia of potential functional regions harboring genetic variants associated with AD. They discovered 181 new regions of interest containing 308 prioritized variants, which were previously not considered to play a role in Alzheimers disease. Their resultswere publishedinNature Genetics.

Li and her colleagues started from 37 genetic loci associated with AD to prioritize risk variants and their residing potential functional regions -- termed candidate cis-regulatory regions (cCRE) -- in microglia, they performed a process called fine-mapping. One locus at a time, they studied the associated variants with a special consideration of epigenetic signatures and 3D genome interaction annotations indicating their likelihood of functioning in microglia.

After prioritizing variants that are most likely to exert their effect on AD through gene regulatory function in microglia, they performed CRISPR interference (CRISPRi) screening experiments to nail down the exact regions that affect microglia gene expression using human pluripotent stem cell differentiated microglia.

Using this epigenomic editing technology, the researchers can perturb candidate regions to see whether any tested genomic regions can impact downstream gene expression. They found that turning off one region can often impact a whole neighborhood of genes, much like a blackout on a power grid.

We have been asking the wrong question, said Li. We should be asking what the targeting gene orgenesof these variants are affecting the microglia. Sometimes, one variant may affect the expression of multiple genes in the neighborhood.

Additionally, each region could contain several AD-associated genetic variants. Researchers then needed to pinpoint which variants are causal among the many that were identified through genetic analysis. Such precision is crucial for understanding the mechanisms by which non-coding variants contribute to the development of AD.

The team employed a cutting-edge genome editing technique prime editing, which allows them to introduce one single DNA base substitution at a time and to assess individual variant function at theTSPAN14AD risk locus. Through this method, they were able to identify one specific variant, differentiating it from another which is almost perfectly correlated and in the same cCRE region, to be responsible forTSPAN14expression.

More importantly, the responsible variant further negatively affected a cascade of downstream cellular processes, including the maturation of ADAM10 protein and soluble TREM2 shredding in microglia. Since all three aforementioned genes are known to be risk genes for AD, the study successfully links an AD non-coding variant to functions in microglia beyond control of gene expression.

Their research findings, Li said, will serve as a new foundation from which other researchers can discover more causal variants of AD, predict disease risks, and develop more effective therapies. This work was also made possible in collaboration withLi Gans group from the Helen and Robert Appel Alzheimers Disease Research Institute, Weill Cornell Medical College. (ANI)