Immunochip to Survey Genome Regions

Researchers have newly identified three genetic regions associated with primary biliary cirrhosis (PBC), the most common autoimmune liver disease, increasing the number of known regions associated with the disorder to 25. The team used a DNA microchip, called Immunochip, to survey more thoroughly regions of the genome known to underlie other autoimmune diseases to discover if they play a role also in PBC susceptibility. By combining the results from this survey with details of gene activity from a database called ENCODE, they were able to identify which cells types are most likely to play a role in PBC.

PBC affects approximately one in every three thousand people in the UK, and one in a thousand women over the age of 40. Inflammation in the bile ducts blocks the flow of bile, damaging the liver cells and causing further inflammation and scarring, and in severe cases will result in the need for a liver transplant.

There is currently no cure for PBC, so treatment is focused on slowing down the progression of the disease and treating any symptoms or complications that may occur. The biological pathways underlying primary biliary cirrhosis are poorly understood, although autoimmunity, where the body attacks its own cells, is known to play a significant role.

"Previous genetic screens have identified 22 regions of the genome underlying PBC risk, and many of these are known to play a role in other autoimmune diseases, such as multiple sclerosis and type I diabetes," says Dr Carl Anderson, co-senior author from the Wellcome Trust Sanger Institute.

"Using the Immunochip we were able to perform a much more thorough screen of the genomic regions previously associated with other autoimmune diseases. This resulted in us identifying a further three regions involved in PBC risk and identifying additional independent signals within some of those we already knew about."

The advantage of Immunochip over genome-wide technologies is that it focuses only on regions of the genome known to be associated with an autoimmune disease and thus captures more of the genetic variation within these regions. Immunochip can therefore be used to more thoroughly test these key candidate genes for association to a whole-host of immune-related traits, and identify low frequency and rare genetic variants associated with disease that would likely be missed by a microarray that covers a broader range of genetic regions.

The researchers found five genomic regions with multiple independent signals associated with the disorder, with one small region on chromosome 3 harbouring four independent association signals. These findings suggest that densely genotyping or sequencing known disease regions will be a powerful approach for identifying additional genetic risk variants and for further elucidating the role of rare genetic variation in complex disease risk.

"This study has allowed us to better understand the genetic risk profile of PBC and, by comparing our results with similar studies of other autoimmune diseases, we hope to further characterise the genetic relationship between this group of clinically diverse but biologically related disorders" says Dr Richard Sandford, co-senior author from the University of Cambridge "Over the next few years we will be extending our studies to search for genetic variants that affect disease course and treatment response. We hope that our studies will have a clinical impact, either directly through a more personalized approach to treatment or indirectly by furthering our understanding of the biological pathways underlying PBC leading to new treatments."

The most associated genetic variant within the newly implicated TYK2 gene was a low-frequency variant previously associated with multiple sclerosis (MS) that changes the coding sequence of the gene. Previous studies in MS have shown that individuals that carry a single copy of this variant have significantly reduced TYK2 activity, suggesting that modulation of TYK2 activity might represent a new therapeutic approach for the treatment of PBC.

"This study is an example of how people with rare conditions like primary biliary cirrhosis can work together with scientists and physicians to find a path towards drug targets and treatments for these diseases," says Collette Thain, MBE, Chief Executive of the PBC Foundation. "Although this is just the beginning of a long road to finding the genetic basis of PBC, with each study we are moving closer and closer to finally understanding and tackling this disease."

Jimmy Z. Liu, Mohamed A. Almarri et al 'Dense fine-mapping study identifies novel disease loci and implicates coding and non-coding variation in primary biliary cirrhosis risk'

Published online in Nature Genetics on 9 September DOI: 10.1038/ng.2395

Most Popular Now

Unlocking the 10 Year Health Plan

The government's plan for the NHS is a huge document. Jane Stephenson, chief executive of SPARK TSL, argues the key to unlocking its digital ambitions is to consider what it...

Alcidion Grows Top Talent in the UK, wit…

Alcidion has today announced the addition of three new appointments to their UK-based team, with one internal promotion and two external recruits. Dr Paul Deffley has been announced as the...

AI can Find Cancer Pathologists Miss

Men assessed as healthy after a pathologist analyses their tissue sample may still have an early form of prostate cancer. Using AI, researchers at Uppsala University have been able to...

AI, Full Automation could Expand Artific…

Automated insulin delivery (AID) systems such as the UVA Health-developed artificial pancreas could help more type 1 diabetes patients if the devices become fully automated, according to a new review...

How AI could Speed the Development of RN…

Using artificial intelligence (AI), MIT researchers have come up with a new way to design nanoparticles that can more efficiently deliver RNA vaccines and other types of RNA therapies. After training...

MIT Researchers Use Generative AI to Des…

With help from artificial intelligence, MIT researchers have designed novel antibiotics that can combat two hard-to-treat infections: drug-resistant Neisseria gonorrhoeae and multi-drug-resistant Staphylococcus aureus (MRSA). Using generative AI algorithms, the research...

AI Hybrid Strategy Improves Mammogram In…

A hybrid reading strategy for screening mammography, developed by Dutch researchers and deployed retrospectively to more than 40,000 exams, reduced radiologist workload by 38% without changing recall or cancer detection...

New Training Year Starts at Siemens Heal…

In September, 197 school graduates will start their vocational training or dual studies in Germany at Siemens Healthineers. 117 apprentices and 80 dual students will begin their careers at Siemens...

Penn Developed AI Tools and Datasets Hel…

Doctors treating kidney disease have long depended on trial-and-error to find the best therapies for individual patients. Now, new artificial intelligence (AI) tools developed by researchers in the Perelman School...

Are You Eligible for a Clinical Trial? C…

A new study in the academic journal Machine Learning: Health discovers that ChatGPT can accelerate patient screening for clinical trials, showing promise in reducing delays and improving trial success rates. Researchers...

New AI Tool Addresses Accuracy and Fairn…

A team of researchers at the Icahn School of Medicine at Mount Sinai has developed a new method to identify and reduce biases in datasets used to train machine-learning algorithms...

Global Study Reveals How Patients View M…

How physicians feel about artificial intelligence (AI) in medicine has been studied many times. But what do patients think? A team led by researchers at the Technical University of Munich...