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Next-generation Sequencing in the Identification of New Genes Causing Beta-cell Dysfunction

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Published Online: Jun 4th 2019 US Endocrinology. 2019;15(1):17–8 DOI:
Authors: Elisa De Franco
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Understanding the mechanisms that regulate beta cell development and function is crucial to identify therapeutic targets in type 1 and type 2 diabetes. One way to find the genes or factors needed for beta cells is to study the genetics of patients who develop diabetes in the first few months of life because of severe beta-cell dysfunction. This condition is called neonatal diabetes. Over the years many genes have been identified as causing this condition through impaired function or development of the beta cells.1 Recently, next-generation sequencing (NGS) technologies have allowed researchers to perform a single test to identify mutations in any of the known genes, either for diagnostic test or as a preliminary screen in the search for novel disease genes.2

In an expert interview, Elisa De Franco discusses the challenges of NGS, as well as the impact of early testing of all known genetic causes of neonatal diabetes.

Q. What are the major challenges in using next-generation sequencing to identify genes responsible for  beta-cell dysfunction?

NGS allows us to analyze as many genes as we want in a single test—a subset or all of them, just the regions that make proteins or all of the DNA. This has of course huge potential for finding the mutations that disrupt genes, which is important for pediatric diseases, such as neonatal diabetes which is caused by severe beta-cell dysfunction. However, NGS experiments produce a vast amount of data as every human differs by 3–4 million variants.3 Most of these genetic variants don’t have any visible effect, while some define characteristics such as eye color. The big challenge is finding the one genetic mutation that is responsible for beta cell-dysfunction in this sea of other variants—that’s what we call “the needle in the haystack”.

Q. Could you describe your “gene agnostic” approach?

Before the introduction of NGS, researchers had to test one gene at the time. Gene discovery studies were therefore based on analyzing genes that were thought to be important for beta-cell function based on studies in mice or other animal models. This approach had successfully identified genes in the past, but was of course limited by what was known at the time the gene discovery studies were performed, as only genes with known function would be analyzed.

Now that we can test all the genes in our DNA quickly and inexpensively, we don’t need to pre-select the genes in any way. We can let the genetics guide the discovery process and this means we can identify genes that had never before been suspected to have a role in beta-cells as being essential for human beta-cell function.

Q. What have been your most interesting findings using this approach?

Using this approach I have recently discovered the genetic cause of a new syndrome that results in people being born without a pancreas and with a brain structural malformation called holoprosencephaly. This gene, that is called CNOT1, had never before been known to be important for pancreatic development. This gene is, however, known to be very important for stem cell function, suggesting that a defect affecting the very first stage of development can result in the pancreas not developing at all. These results will be published later this month in the American Journal of Human Genetics.5

Q. How has the proportion of identifiable mutations in patients with neonatal diabetes changed using this approach?

Before we started using NGS, we could identify a genetic cause in approximately 70% of patients diagnosed with diabetes before the age of 6 months. Using NGS we have discovered seven novel genetic causes of neonatal diabetes and we are now able to provide a genetic diagnosis for almost 89% of patients with neonatal diabetes.5 The impact of NGS has been particularly important for patients with pancreatic agenesis (who have neonatal diabetes and exocrine pancreatic insufficiency). Before we started using NGS, a genetic cause was found in only 13% of patients, whilst today we find the genetic defect causing the disease in 97% of patients—an extraordinary result!4 Finding the correct genetic diagnosis is of paramount importance for the patients, as it allows targeted treatment and can guide the clinical management; for their families, as it allows us to estimate the risk of disease recurrence in the family; and for the clinicians who care for these patients with a rare genetic condition.

Q. What will be the next steps in this research?

We still have 11% of patients without a genetic diagnosis—I am going to work hard to find the genetic defect causing neonatal diabetes in all of them.5 At the same time, gene discovery has now changed its role in science. Now that we are finding mutations in genes we know very little about, we need to do more studies to understand the mechanism. Finding these critically important genes and understanding how they work is allowing us to gain unique insights into how human beta cells develop and function, furthering our understanding of many types of diabetes.

Article Information:

Elisa De Franco has no conflicts of interest to declare in relation to this article.


This is an expert interview and as such, has not undergone the journal’s standard peer-review process.


 Elisa De Franco, Molecular Genetics, University of Exeter Medical School, RILD – Level 3, Barrack Road, Exeter, EX2 5DW, UK. E:


No funding was received in the publication of this article.


Medical writing assistance was provided by Katrina Mountfort of Touch Medical Media and was supported by Touch Medical Media.


April 16, 2019


  1. De Franco E, Ellard S. Genome, exome, and targeted next-generation sequencing in neonatal diabetes. Pediatr Clin North Am. 2015;62:1037–53.
  2. Ellard S, Lango Allen H, De Franco E, et al. Improved genetic testing for monogenic diabetes using targeted next-generation sequencing. Diabetologia. 2013;56:1958–63.
  3. Auton A, Brooks LD, Durbin RM, et al. A global reference for human genetic variation. Nature. 2015;526:68–74.
  4. De Franco E, Watson RA, Weniger WT, et al. A specific CNOT1 mutation results in a novel syndrome of pancreatic agenesis and holoprosencephaly through impaired pancreatic and neurological development. Am J Human Genetics.
  5. De Franco E, Flanagan SE, Houghton JA, et al. The effect of early, comprehensive genomic testing on clinical care in neonatal diabetes: an international cohort study. Lancet. 2015;386:957–63.

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