Genomic Diagnoses for Ectopic Intracerebral Calcifications
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Abstract
Background and Objectives Ectopic intracerebral calcifications (EICs) in the basal ganglia, thalamus, cerebellum, or white matter are seen in a variety of disease states or may be found incidentally on brain imaging. The clinical significance and proportion of cases attributable to an underlying genetic cause is unknown.
Methods This retrospective cohort study details the clinical, imaging, and genomic findings of 44 patients with EICs who had no established diagnosis despite extensive medical workup.
Results In total, 15 of 44 patients received a diagnosis through genomic testing explaining their calcifications, and 2 more received a diagnosis that has not been previously associated with EICs. Six of the 15 were found to have one of the 4 genes (PDGFB, PDGFRB, SLC20A2, and XPR1) conventionally associated with the phenotypic term “idiopathic basal ganglia calcifications.”
Discussion These findings support the use of genomic testing for symptomatic patients with EICs.
Glossary
- EICs=
- ectopic intracerebral calcifications;
- ES=
- exome sequencing;
- GS=
- genome sequencing;
- PFBC=
- primary familial brain calcification;
- UDN=
- Undiagnosed Disease Network;
- UDPICS=
- Undiagnosed Disease Program Integrated Collaboration System
Introduction
Intracranial calcifications are a common finding on neuroimaging. Some intracranial calcifications might be considered normal variation while in other cases calcifications might be excessive or in unexpected locations. Abnormal calcifications might be uncovered incidentally, for example, in the context of imaging for head trauma or other neurologic conditions. Here, we use the term ectopic intracerebral calcifications (EICs) to reference the radiographic finding of calcifications, usually bilateral, involving a combination of structures including in the basal ganglia, thalamus, cerebellum, and/or subcortical white matter. While this is sometimes used synonymously with terms such as primary brain calcification, idiopathic basal ganglia calcinosis, striatopallidodentate calcinosis, calcinosis nucleorum, or Fahr syndrome,1,2 the definitions of these terms are often ambiguous and we use EIsC to include cases of calcifications without basal ganglia involvement, asymmetric brain calcifications, and areas not classically associated with “Fahr syndrome”. A variety of presentations including ataxia, movement disorders, and neuropsychiatric symptoms have been associated with brain calcifications; however, there is no clear correlation between the location, size, and underlying etiology of EICs with the presence, nature, and severity of clinical symptoms.3,-,5
Although most cases are found incidentally with no attributed cause, EICs can be associated with both underlying genetic and acquired disorders or be seen in individuals without apparent related illness.6,7 Major acquired causes of brain calcifications include endocrine disturbances involving calcium homeostasis, parathyroid or vitamin D metabolism, vascular malformation, angiopathies, inflammatory disorders, neoplasms, and infections. Intracerebral calcifications have also been reported in the setting of many genetic disorders ranging from 22q11 deletion syndrome, tuberous sclerosis complex, and Cockayne syndrome among others.6 More recently, studies on idiopathic basal ganglia calcifications sometimes known as primary familial brain calcifications (PFBCs), defined by kindreds with a dominantly inherited form of EIC, identified pathogenic variants in PDGFB, PDGFRB, SLC20A2, and XPR1 as the underlying molecular cause of around half of all familial cases.8 Currently there is no guideline for genetic testing in EICs, and genetic testing is not considered standard of care. Previous studies of genetic testing for familial EICs were done by sequential targeted testing or panels involving the 4 common genes with a yield of around 54%.9,10 The yield of genetic testing in patients with EICs, without affected family members, after acquired causes have been ruled out, and the optimal strategy for testing is currently unknown.
The Undiagnosed Disease Program was created in 2008 and expanded to the Undiagnosed Disease Network (UDN) in 2014 to take an integrated clinical and genomic approach in evaluating patients with unexplained diseases.11 Applications are reviewed with the goal of identifying those with no diagnosis despite comprehensive standard-of-care evaluation and are likely to generate new knowledge about disease pathogenesis. Accepted patients undergo extensive evaluation on a clinical and research basis for deep phenotyping and genomic testing. To date, over 1800 patients have been evaluated with more than 500 having received a diagnosis. The Undiagnosed Disease Program Integrated Collaboration System (UDPICS) was created to support collaborative translational research on rare diseases between UDN sites.12
We present genetic and clinical findings of 44 patients evaluated through the UDN who had EICs on imaging and underwent genomic sequencing analysis.
Methods
We conducted a retrospective review of patients evaluated through the UDN between 2008 and 2021 with a phenotype including EIC and had completed genomic testing. Relevant cases were identified through a search of standardized Human Phenotype Ontology based on input of phenotype information recorded in our secured database, UDPICS. The keywords “cerebral calcifications” and “cerebellar calcifications” were used to identify cases. No additional cases were identified using the term “intracranial calcifications.” Medical and imaging records were then reviewed by designated investigators in the UDN protocol. Cases were excluded from this study based on the following criteria: no calcifications were found on review of imaging, the patient withdrew from the study, or genomic testing was not completed. Exome vs genome sequencing was done based on availability at time of evaluation. In some cases, genome sequencing was done after negative exome sequencing.
Standard Protocol Approvals, Registrations, and Patient Consents
Approval for this study was obtained under the designated and previously published IRB.13 All patients were enrolled on protocol 76-HG-0238 or 15-HG-1030. Written informed consent was obtained from all participants.
Data Availability
Deidentified clinical data and gene-level information are available individually on request.
Results
A total of 63 study participants with EICs were identified based on our database search. Age at presentation ranged from birth to 70 years. Twenty-one of our cases first reported symptoms after turning 18 years while the rest presented in childhood. Nineteen patients were excluded because of lack of intracranial calcifications, absent genomic testing results, or withdrawal from the study. Of the remaining 44 patients, 24 (55%) were female and 20 (45%) were male. Ten patients had at least one known affected first-degree relative. All participants had extensive medical evaluation and did not have evidence for an acquired cause of EIC.
Calcifications were found on head computerized tomography in every case. Representative images are shown in Figure. The most common site of EIC was the basal ganglia (39, 89%) while the cerebellum (21, 48%), thalami (12, 27%), and subcortical white matter (16, 36%) represented other common sites of involvement. Calcifications in the central pons (4, 9%) cases and periventricular white matter (2, 5%) were less commonly seen.
Selected computed tomography (CT) images showing calcifications in the (A) basal ganglia, (B) basal ganglia and thalamus, (C) cerebellum, (D) pons, (E) subcortical white matter, and (F) periventricular white matter. Diagnosis associated with each image (Top, Bottom): A (ND, ND), B (ND, ND), C (ND, ND), D (SNORD118, ND), E (ND, IFIH1), F (CSF1R, SNORD118). ND = no diagnosis found.
Detailed clinical findings are presented in Table. All but one case (evaluated based on family history) had at least one neurologic or psychiatric symptom, though the severity and nature of their findings varied. Every patient who received a genetic diagnosis was symptomatic. Twenty-seven (61%) individuals in our cohort had extrapyramidal signs such as spasticity, parkinsonism, or dystonia while 3 individuals had no neurologic symptoms. A wide spectrum of other findings such as vertigo, paresthesia, headaches, or cognitive decline were also present. Psychiatric symptoms were noted in 26 (59%) of our cases with anxiety disorder or major depressive disorder being the most common diagnoses. Age at symptom onset varied from infancy to the seventh decade.
Summary of Genetic and Clinical Findings
Genomic testing method and diagnostic results are presented in Table. Twenty-four patients underwent exome sequencing (ES), 9 underwent genome sequencing (GS), and 10 received ES, followed by GS. One patient was diagnosed with XMEN based on reanalysis of previous ES and therefore not sequenced by the UDP.
Most (33, 75%) cases were tested in conjunction with at least one other family member. Fifteen patients were found to have a pathogenic or likely pathogenic variant in a gene that explained their EICs. Six patients were found to be heterozygous for a variant in SLC20A2 (MIM 158378), 2 were compound heterozygous in SNORD118 (MIM 616663), 2 were heterozygous in IFIH1 (MIM 6060951), 1 case was heterozygous in CSF1R (MIM 164770), 1 was hemizygous in MAGT1 (MIM 300715), 1 was heterozygous in PDGFB (MIM 190040), 1 was compound heterozygous in PANK2 (MIM 606157), and 1 was compound heterozygous in RNASEH2B (MIM 610326). Two individuals had pathogenic variants in genes that partially explained their symptoms but did not explain their EIC. One patient with dystonia was found to have a TOR1A variant and diagnosed with Torsion dystonia type 1 (MIM 128100). Another patient had a known diagnosis of Gaucher disease (MIM 230800) at the time of enrollment in the UDP that was seen again, but this was not thought to explain the EIC. One case received a diagnosis on genome sequencing after negative exome sequencing. This was due to a pathogenic variant in SNORD118. The other case attributable to variants in SNORD118 had not undergone previous exome sequencing.
The diagnostic rate was 11 of 33 (33%) for those in whom additional family members were sequenced, including a rate of 7 of 24 (29%) for families with at least complete trios including both parents. The diagnostic rate was 3 of 10 (30%) when only the proband was sequenced. The diagnostic rate was 7 of 12 (58%) when an additional family member was affected and 8 of 32 in simplex cases (25%).
Four individuals in our cohort were found to have variants of interest in PDGFB (MIM190040), PGDFRB (MIM 173410), XPR1 (MIM 605237), or APP (MIM104760) all of which are genes associated with EIC though these variants did not meet ACMG criteria to be classified as pathogenic or likely pathogenic.
Discussion
We present the results of comprehensive genomic testing in patients with EICs regardless of family history. Our cohort consisted of 55% female and 45% male patients, which is consistent with previous studies reporting a higher prevalence of basal ganglia calcifications in female patients.14 The overall diagnostic yield of genomic testing for EICs was 34% in our study. 46% (7 of 15) of patients who received a diagnosis developed symptoms in adulthood. This mirrors the overall cohort where 47% of patients presented after age 18 years and suggests that age at symptom onset does not predict pretest probability of having an underlying genetic etiology for EICs.
Our cohort represents individuals who have features consistent with a rare disease and sought extensive medical evaluation and thus is not reflective of the general population of patients with EICs. Because a significant portion of patients with EICs are asymptomatic and therefore may not ever seek medical attention, our results likely overestimate the diagnostic yield of genomic testing on the general EIC population after secondary EIC has been ruled out. In addition, those who are referred have typically undergone extensive prior testing for both acquired and genetic etiologies, which implies an above average level of access to care as well as medical literacy. There are several reasons patients with known EIC genes may not have been identified in our cohort before inclusion in this study. First, genetic testing is currently not standard of care in all cases of EICs. Second, the clinical significance of EICs is not well understood; the phenotypes associated with this finding range from asymptomatic to more prototypical neurologic syndromes such as neuropsychiatric syndromes or movement disorders. As such, brain imaging may not have been indicated in all cases before research evaluation or EICs may have been seen as an incidental finding in some of our participants rather than an anchor for diagnosis. Finally, clinical genomic analysis pipelines are commonly phenotype rather than brain imaging-driven and EIC-causing variants may not have been considered or reported by previous testing laboratories because of the lack of clear clinical correlation between EICs and the patient's presenting symptoms.
Of the 9 patients with an affected first-degree relative, 3 (33%) had one of the 4 canonical familial calcification genes, which is lower than the 55% yield in previous published reports.10 This may reflect ascertainment bias in our cohort because patients with EICs are more likely to be tested for these 4 genes, and positive cases would be less likely to be referred to the UDN. Our most common pathologic finding in this cohort was SLC20A2, which was previously reported to account for around 40% of all primary familial brain calcification cases9 and was present in 4 of our familial cases in this cohort. Of the remaining 2, one received a diagnosis of XMEN (MIM 300853) and the other received a diagnosis of Aicardi-Goutieres syndrome type 7 (MIM 610181). While sequencing of additional family members, especially parents, has previously been shown to increase diagnostic yield of genomic testing, it did not substantially change the diagnostic yield in this cohort in the absence of a positive family history. This likely reflects a large contribution of familial rather than de novo variations toward disease prevalence.
Nine of 33 (27%) in sporadic cases of EIC in our cohort received a diagnosis. Three cases, 2 with SLC20A2 and 1 with PDGFB, had classic primary familial brain calcification genes. The remaining patients received diagnosis of Labrune syndrome (MIM 614561), Aicardi-Goutieres syndrome type 7 (MIM 615846), PKAN (MIM 234200), or leukoencephalopathy with spheroids 2 (MIM 221820). Although some of these patients had nonspecific findings unrelated to calcifications such as growth retardation in one patient with Aicardi-Goutieres syndrome and leukoencephalopathy in one patient with Labrune syndrome, many of these cases did not exhibit classic signs associated with their disease such as cysts, spheroids, or clear iron deposition which likely contributed to their referral to the UDN. These cases were unlikely to have been diagnosed without genomic testing, highlighting the heterogeneity of disease presentations and potential pitfalls of relying on clinical findings to perform targeted genetic testing. Notably, given that SNORD118 is a noncoding RNA, this may be missed on exome sequencing but would be detected on genome sequencing.
Among the 29 cases with EIC who did not receive a genomic diagnosis, 4 were found to be heterozygous for a possibly causative variant in a canonical gene associated with familial brain calcifications. Further research is necessary to determine whether these variants are causative. In addition, 3 more individuals were found to have pathogenic variants that explained their clinical presentation but not their EICs. One patient with bilateral basal ganglia calcifications and childhood-onset dystonia was found to be heterozygous for the known pathogenic deletion in TOR1A (MIM 605204) causative of DYT1. By definition, DYT1 primary dystonia is not expected to have structural brain abnormalities, perhaps suggesting this patient might have a blended phenotype with a yet uncharacterized cause of EICs. Two others had complex clinical presentations, one with pathogenic variants in GBA (MIM 606463) and one with potentially causative variants in COLQ (MIM 603033) which is undergoing further evaluation. These diagnoses would explain some, but not all, of the respective probands' phenotypes. For these cases, ambiguity remains if EICs are a rare feature of these disorders or if these individuals have blended phenotypes from more than one condition and/or gene-gene interactions which might result in EICs.
Of the 39 individuals in our cohort who had bilateral calcifications in the basal ganglia consistent with the classic description “idiopathic basal ganglia calcification” (MIM PS213600), 12 received a diagnosis on genomic testing of which 6 had a pathogenic change in a gene associated with this phenotype. Of the remaining 5 cases that did not have basal ganglia involvement, 3 received a genomic diagnosis. None of the 3 were found to have one of the canonical genes which supports the inclusion of basal ganglia involvement as a criterion for this entity. There were no clear correlations between our genetic findings with clinical symptoms or age at presentation; however, because of the nature of the UDN, atypical presentations are likely overrepresented in our cohort, and asymptomatic forms of IBG are excluded by the nature of the UDP program.
The causative genes we identified are involved in a variety of physiologic and cellular processes including ribosomal RNA processing, prostaglandin transport, magnesium transport, platelet and vascular endothelial growth, coenzyme A biosynthesis, DNA replication, and innate immunity. The wide range of functions of pathogenic changes that can lead to EICs points to this phenotype being at the convergence of disturbances in multiple pathways. More research is needed to understand how these processes interact and contribute to abnormal calcium deposition.
In conclusion, we present genomic, clinical, and imaging findings in 44 patients who had EICs and did not have a diagnosis after extensive routine workup. Extrapyramidal movement disorders were the most common clinical finding, and the basal ganglia was the most common site of calcification on imaging. We identified a genetic diagnosis through genomic testing in 25% of sporadic cases and 58% of cases with a similarly affected first-degree relative (dominant EIC). Because our cohort is not representative of all patients with EICs, more research needs to be done to determine the clinical utility of genetic testing in EICs and the generalizability of our findings. Our findings suggest that genetic testing should be considered for patients with neurologic or nonspecific neuropsychiatric symptoms along with EICs. Most of our solved cases were not due to one of the 4 genes associated with PFBC, even when the classically described basal ganglia calcifications were present. These findings support the use of genomic testing rather than targeted or panel testing. The presence of Labrune syndrome, caused by a small nonprotein coding element, in our cohort supports the use of genome rather than exome sequencing.
Study Funding
The NIH Undiagnosed Diseases Program is funded by the NIH Common Fund, NIH, Bethesda MD, USA.
Disclosure
The authors report no relevant disclosures. Go to Neurology.org/NG for full disclosures.
Acknowledgment
The authors thank all the patients and their families for their participation.
Appendix Authors

Footnotes
Go to Neurology.org/NG for full disclosures. Funding information is provided at the end of the article.
The Article Processing charge was funded by NIH, Cleveland Clinic, Genzyme.
Submitted and externally peer reviewed. The handling editor was Editor Stefan M. Pulst, MD, Dr med, FAAN.
- Received October 18, 2022.
- Accepted in final form May 24, 2023.
- Written work prepared by employees of the Federal Government as part of their official duties is, under the U.S. Copyright Act, a “work of the United States Government” for which copyright protection under Title 17 of the United States Code is not available. As such, copyright does not extend to the contributions of employees of the Federal Government.
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