
==== Front
Genes (Basel)
Genes (Basel)
genes
Genes
2073-4425
MDPI

10.3390/genes13010076
genes-13-00076
Article
Investigating the Genetic Profile of the Amyotrophic Lateral Sclerosis/Frontotemporal Dementia (ALS-FTD) Continuum in Patients of Diverse Race, Ethnicity and Ancestry
Mesaros Maysen 12*
Lenz Steven 3
https://orcid.org/0000-0002-4154-5133
Lim Woobeen 4
Brown Jordan 1
Drury Luke 3
Roggenbuck Jennifer 1
Grunseich Christopher Academic Editor
1 Department of Internal Medicine, The Ohio State University Wexner Medical Center, Columbus, OH 43212, USA; thomas24@example.org (J.B.); thomas24@example.org (J.R.)
2 Division of Neuroscience, Medical University of South Carolina, Charleston, SC 29425, USA
3 PreventionGenetics, Marshfield, WI 54449, USA; thomas24@example.org (S.L.); thomas24@example.org (L.D.)
4 Division of Biostatistics, College of Public Health, The Ohio State University, Columbus, OH 43210, USA; thomas24@example.org
* Correspondence: thomas24@example.org
28 12 2021
1 2022
13 1 7642-14-9403
21 12 2021
© 2021 by the authors.
2021
https://creativecommons.org/licenses/by/4.0/ Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Preliminary evidence suggests that commonly used genetic tests may be less likely to identify a genetic etiology for ALS-FTD in patients of underrepresented race, ethnicity, and ancestry (REA), as compared to European REA. Patients of underrepresented REA may therefore be less likely to receive accurate and specific genetic counseling information and less likely to have access to gene-targeted therapies currently in clinical trials. We compiled outcome data from 1911 ALS-FTD patients tested at a commercial laboratory over a seven-year period for C9orf72 hexanucleotide repeat expansion (HRE) alone or C9orf72 and multigene sequencing panel testing. We compared the incidence of pathogenic (P), likely pathogenic (LP), and uncertain variants in C9orf72 and other ALS-FTD genes, as well as age at testing, in patients of different REA. The diagnostic rate in patients of European REA (377/1595, 23.64%) was significantly higher than in patients of underrepresented REA (44/316, 13.92%) (p < 0.001). Patients of European REA were more likely to have the C9orf72 HRE (21.3%) than patients of underrepresented REA (10.4%) (p < 0.001). The overall distribution of positive test outcomes in all tested genes was significantly different between the two groups, with relatively more P and LP variants in genes other than C9orf72 identified in patients of underrepresented REA. The incidence of uncertain test outcomes was not significantly different between patients of European and underrepresented REA. Patients with positive test outcomes were more likely to be younger than those with negative or uncertain outcomes. Although C9orf72 HRE assay has been advocated as the first, and in some cases, only genetic test offered to patients with ALS-FTD in the clinical setting, this practice may result in the reduced ascertainment of genetic ALS-FTD in patients of diverse REA.

ALS
FTD
REA
genetics
C9orf72
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pmc1. Introduction

Amyotrophic lateral sclerosis (ALS) is an adult-onset neurodegenerative disease characterized by the loss of upper and lower motor neurons. Individuals with ALS experience progressive paralysis that ultimately results in death within an average of three to five years after symptom onset [1]. ALS has long been recognized to form a neurodegenerative continuum with frontotemporal dementia (FTD), a progressive disorder affecting behavior and language, by a common underlying TDP43 neuropathology [2]. It has been reported that up to 50% of individuals with ALS develop cognitive impairment associated with FTD, and up to 30% of individuals with FTD develop symptoms of motor neuron disease [3]. The recent discoveries of common genetic etiologies have led to a growing recognition that ALS and FTD represent opposite ends of one common phenotypic spectrum [2,4].

ALS affects individuals of all races, ethnicities, and ancestries (REA); however, the incidence rates vary across REA groups in the United States of America. The European or white REA group has the highest incidence, followed by African American or black, then Asian. Non-Hispanic REA has a higher incidence of ALS than Hispanic REA [5]. The incidence of FTD is also shown to vary across populations; however, data are primarily based on the study of Caucasian patients, and evidence regarding the incidence of FTD in diverse populations is particularly limited [6]. While differences in incidence rates may reflect multiple factors, such as genetic predisposition, environmental exposures, access to adequate healthcare, or lack of ascertainment of underrepresented REA cases in incidence studies, evidence suggests that these variations in incidence are less likely to result from ascertainment bias and socioeconomic status and more likely to result from genetic variation across REA groups [7].

In addition to the variation in incidence rates of ALS across REA groups, clinical presentations of the disease differ across groups. The average age of onset of ALS symptoms is younger in Black or African American people (50–59 years) than that of individuals in other REA groups (60–69 years). Hispanics have an average age of onset that is approximately four years lower than the age of onset for non-Hispanic patients. The mean duration from symptom onset to diagnosis is lowest among African Americans (15.6 months) and highest among Asians (20.4 months) [5]. A meta-analysis of ALS outcomes across 40 geographical regions of the world demonstrated that the median survival time was lowest among those in Northern European cohorts (25 months). The median survival time in Asia ranged from 28 months in East Asia to 48 months in Iran. Data on the median survival in African or African-American cohorts is limited; however, some studies in the United States of America demonstrated that patients of African origin had similar survival times to those of European origin [8], while a 2019 study in a cohort of 49 African American patients with ALS found longer survival times and higher rates of tracheostomy and invasive ventilation than in white patients [9]. The diversity in presentation of ALS across REA groups could reflect diversity in genetic etiologies underlying these differences. Differences in disease presentation of FTD across REA groups have not been well studied [2].

A genetic etiology is identified in approximately 70% of familial ALS (fALS) and familial FTD (fFTD) cases, 15% of sporadic ALS (sALS) cases, and 7% of sporadic FTD (sFTD) in North American research cohorts, which consist primarily of patients of European descent [2,10,11,12]. Genetic forms of the ALS and FTD spectrum, hereafter designated ALS-FTD, are typically inherited in an autosomal dominant manner with significant genetic heterogeneity. Pathogenic variants in > 40 genes have been identified to cause either ALS, FTD, or ALS-FTD [12,13]. Genes recognized as causative for both ALS and FTD include C9orf72, TARDBP, SQSTM1, VCP, FUS, TBK1, CHCHD10, and UBQLN2 [2]. The pathogenic hexanucleotide repeat expansion (HRE) in the C9orf72 gene is the most identified genetic cause of both ALS and FTD. This gene was discovered in 2011 and is responsible for approximately 40% of fALS and fFTD cases, and up to 7% of sALS and sFTD cases [2,12].

Genetic and historical evidence suggests that the C9orf72 HRE first appeared in Scandinavia approximately 1500 years ago and spread throughout Europe with the conquests of Vikings. The geographical distribution of the C9orf72 HRE and Viking routes are remarkably similar, supporting this theory on the spread of this variant [14,15]. Today, it is believed that the C9orf72 HRE has remained most prevalent in European patients. In a 2012 study of a global cohort of 4448 individuals with ALS and 1425 with FTD, the frequency of C9orf72 HREs was determined across different ethnic groups; clear variation was found with the highest frequency in patients of European REA [16,17,18]. Distributions of pathogenic variants in other genes causing ALS-FTD are also believed to be uneven across populations [17,19,20,21,22,23,24,25,26]. However, data comparing the prevalence of genetic variants in ALS-FTD across REA groups is limited, and the impact of this variation on the diagnostic yield of clinical genetic testing has not been studied.

Current US ALS management guidelines do not address the offer of genetic testing, and there is a lack of consensus among clinicians on what testing should be offered to patients and in what clinical scenarios [27,28]. Commercially available genetic tests for ALS-FTD include single-gene sequencing, multigene sequencing panels, the C9orf72 HRE assay, and whole-exome sequencing [12]. Since the C9orf72 HRE cannot be detected via sequencing, clinicians must order the HRE assay separately. Some clinics offer testing for the C9orf72 HRE as the first and sometimes only test for patients with ALS-FTD due to its high prevalence in patients of European REA [11,29,30]. The impact of this approach on genetic diagnosis in patients of underrepresented REA is unknown; however, we suspect that this practice may result in a reduced ascertainment of genetic ALS-FTD in patients of underrepresented REA.

Missed genetic diagnoses are expected to negatively impact the care of patients of underrepresented REA. The current understanding of gene-disease relationships is based primarily on the study of individuals of European REA, and patients of underrepresented REA are less likely than Europeans to receive a definitive genetic diagnosis for their disease across many medical specialties [31,32,33,34,35,36]. As a result, the current effort to employ precision medicine to drive the treatment of hereditary disease threatens to disadvantage patients of diverse REA. It is crucial that efforts are made to improve access to genetic diagnosis to ensure access to accurate and specific genetic counseling information, participation in gene-specific natural history studies, and eligibility for gene-targeted interventional trials for all patients. In order to investigate the diagnostic yield of ALS-FTD genetic testing in patients of different REA, we examined the test outcomes in a large commercial laboratory cohort.

2. Materials and Methods

This study was deemed exempt from review by The Ohio State University Institutional Review Board (IRB) in Columbus, Ohio. A retrospective review of a commercial laboratory testing database was performed to identify a cohort dataset consisting of all patients who underwent ALS-FTD genetic testing at the Prevention Genetics Laboratory from 2013 to 2020. The cohort included representation from both the USA and Canada with samples received from multiple different national ALS-FTD centers and Canadian provinces. This dataset included 1911 individuals of diverse REA between the ages of 8 and 96 years old who underwent C9orf72 HRE analysis exclusively or C9orf72 HRE analysis with reflex to multigene-panel or single-gene analysis (Table 1, Figure 1A). C9orf72 repeat expansions were analyzed using two custom repeat primed PCR assays for both the 3′ and 5′ ends of the HRE. C9orf72 repeats of ≥ 30 were considered pathogenic, 25–29 considered intermediate and of uncertain clinical significance, and < 25 repeats normal. For patients tested via panel testing, C9orf72 repeat expansion testing was performed first, and if negative, reflexive panel testing via next-generation sequencing was conducted. Sequencing was performed using Illumina NovaSeq 6000 (Illumina, San Diego, CA, USA) and reads were aligned to a reference sequencing (hg19). All variants were interpreted per the American College of Medical Genetics variant classification guidelines, and only uncertain, likely pathogenic, and pathogenic variants were reported [37].

The collected data included the clinician-reported patient ancestry, patient year of birth, test ordered, date of test order, and test result including variant(s) identified and interpretation. All tested individuals with REA information provided were sorted into nine REA groups, closely matching ancestral groups in the gnomAD population database (African/African American, Latino, Ashkenazi Jewish, East Asian, European (Finnish), European (Non-Finnish), Other, South Asian, and Mixed Non-European). Genetic test outcomes and ages at testing were then compared between REA groups. Cases were collapsed into European (European (Finnish), European (Non-Finnish)) and Underrepresented REA (African/African American, Ashkenazi Jewish, Latino, East Asian, Other, South Asian, Mixed Non-European) for most analyses. Analysis was performed for cases that underwent C9orf72 HRE testing exclusively and for those that had C9orf72 HRE testing followed by multigene or single gene sequencing. For cases that underwent C9orf72 HRE testing, Fisher's exact test was performed to determine the distribution of positive C9orf72 HREs across REA groups. For tests performed on the distribution of multigene panel results, distribution of testing ordered, and cohort diagnostic yields, chi-square testing was performed to identify significant differences across REA groups. One-way ANOVA tests were performed to determine if age at testing differed by genetic test outcome. A two-way ANOVA test was performed to determine if the age at testing differed by the genetic test outcome between those of European and underrepresented REA.

3. Results

3.1. Cohort Demographics

Among 1911 cases in the tested cohort, 1592 (83.3%) were classified as European Non-Finnish, 73 (3.82%) as African/African American, 12 (0.63%) as Ashkenazi Jewish, 22 (1.15%) as East Asian, 3 (0.16%) as European Finnish, 33 (1.73%) as Latino, 87 (4.55%) as Mixed Non-European, 11 (0.58%) as South Asian, and 78 (4.08%) as other (Figure 1B). After the European and underrepresented REA groups were collapsed, 1595 (83.46%) of the cohort fell into the European REA with an average age at testing of 61.12 years, and 316 (16.54%) of the cohort fell into underrepresented REA with an average age at testing of 57.99 years.

3.2. Positive Test Outcomes across REA Groups

The overall diagnostic yield of genetic testing in the cohort (pathogenic (P) or likely pathogenic (LP) variant identified in an autosomal dominant gene or two P or LP variants in a recessive gene) was 421/1911 (22.03%). Testing was more likely to establish a genetic diagnosis in patients of European REA (377/1,595, 23.64%) than for patients of underrepresented REA (44/316, 13.92%) (p < 0.001). Among patients of African/African American REA, 5/73 (6.85%) were found to have the C9orf72 HRE and 4/73 (5.48%) had P/LP variants in SOD1. Among patients of Ashkenazi Jewish REA, 5/12 (41.67%) were found to have the C9orf72 HRE. Among patients of East Asian REA, 1/22 (4.55%) had a P/LP variant in TARDBP. Among patients of European Finnish REA, 1/3 (33.33%) were found to have an LP in SOD1. Among patients of European Non-Finnish REA, 339/1592 (21.29%) were found to have the C9orf72 HRE, 19/1592 (1.19%) had P/LP variants in SOD1, 3/1592 (0.19%) had P/LP variants in FUS, 3/1592 (0.19%) in MAPT, and 2/1592 (0.13%) had variants in TBK1; a P/LP variant in TARDBP, VCP, TREM2, VAPB, GRN, PSEN1 was identified in one case each. Among patients of Latino REA, 2/33 (6.06%) had the C9orf72 HRE, and a P/LP variant in SOD1 and MAPT were found in one case each. Among patients of Mixed Non-European REA, 17/87 (19.54%) were found to have the C9orf72 HRE and 1/87 (1.15%) had a P variant in PSEN1. Among patients of Other REA, 3/78 (3.85%) had the C9orf72 HRE and 1/39 (2.56%) had a LP variant in GRN. Among patients of South Asian REA, 1/11 (9.09%) tested positive for the C9orf72 HRE (Figure 2). All variants detected by panel sequencing and case clinical details are provided in the Supplementary Data section (Table S1).

The incidence of the C9orf72 HRE was significantly different across individual REA groups (p < 0.001, Table 2) and between the European and underrepresented REAs (p < 0.001, Table 3). Patients of European REA were more likely to test positive for the HRE than patients of underrepresented REA (p < 0.001).

The overall rate of positive, negative, and uncertain results on sequencing panel testing was determined across all REA groups and between European and underrepresented patients who underwent panel testing (see Table 1 for panels conducted). The overall distribution of these test outcomes was found to be different across all REA groups (p = 0.012, Table 4), with the highest positive yield in patients of African/African American REA, (16.7%) and lowest in patients identified as Ashkenazi Jewish or Asian (0%). When REA groups were collapsed to European and underrepresented and compared, the overall proportion of positive, negative, and uncertain results was not significantly different (p = 0.64), suggesting that there are differences in the outcomes of panel testing between individual REA groups, such as between African/African Americans and Asians.

The overall distribution of positive results was compared between patients of European and underrepresented REA. Patients of underrepresented REA were more likely to test positive for sequencing panel genes (i.e., genes other than C9orf72) compared to patients of European REA (p = 0.007, Table 5). The C9orf72 HRE accounted for 90% of positives identified in the European REA group and 75% of positives in the underrepresented REA group. Pathogenic and likely pathogenic variants in genes other than C9orf72 accounted for 10% of positives in the European REA group, while they accounted for 25% in the underrepresented REA group.

3.3. Uncertain Result Outcomes across REA Groups

The proportion of uncertain results did not significantly differ by REA group for those that underwent sequencing panel testing. This was observed comparing all REA groups individually (p = 0.142) and after collapsing European and underrepresented REA (p = 0.459). The highest rate of uncertain results was found in patients identified as "Other" REA (26.3%), while the lowest rate was found in patients identified as Ashkenazi Jewish (0.0%). The rate of uncertain test outcomes was 8.9% and 11.6% for patients of European and underrepresented REA, respectively.

3.4. Age at Testing across REA Groups

The patient age at testing and test outcomes were compared across the cohort and across REA groups. For patients who underwent C9orf72 HRE testing, those with positive results were more likely to be younger than those with negative or intermediate results (p = 0.006, Table 6). Patients who had positive results on panel testing also tended to be younger than those with negative or uncertain results, though this did not reach statistical significance (p = 0.063, Table 7). Although younger patients were more likely to test positive regardless of REA, those who tested positive of underrepresented REA were younger than those of European REA (p < 0.001).

3.5. Testing Ordered across REA Groups

The type of test ordered (C9orf72 HRE analysis exclusively versus the addition of multigene panel testing) did not differ between patients with European vs. underrepresented REA (p = 0.87).

4. Discussion

The results of this study appear to confirm that genetic testing for ALS-FTD, as currently practiced, is less likely to establish a genetic diagnosis in patients of underrepresented REA compared to those of European REA. However, it is not clear if this is due to a higher incidence of genetic ALS-FTD in patients of European REA [5,6], or a reduced ascertainment of genetic ALS-FTD in other populations, or, as we suspect, both. While some studies have reported that white patients with ALS are more likely to have a family history of ALS than African American/Black, Asian, and Hispanic individuals [5], perhaps suggesting a higher likelihood of a genetic etiology, patients of underrepresented REA may be less likely to have complete family history information [38,39,40]. Additionally, in one study of an ALS register in the southern USA, the rate of familial cases was not significantly different between African American and Caucasian cases [41]. Further study of ALS-FTD and its genetic basis in populations of underrepresented REA is necessary to address this question.

This study further confirmed that the C9orf72 HRE is the most common pathogenic variant identified in patients with ALS-FTD in clinical practice in North America, both in patients of European and underrepresented REA. While the HRE was identified in ~10% of the patients of underrepresented REA overall, the REA-specific rate ranged from 0% in Asian to 6.8% in African/African American to 41.7% in Ashkenazi Jewish. Although our REA-specific data are limited due to small numbers in the gnomAD categories, these observations appear to be in line with the published HRE frequency data. This cohort's relatively high frequency of HRE in Ashkenazi Jewish patients matches that of a previous report on an Israeli study population wherein 80% of fALS cases and 11% of sALS cases were found to carry the HRE [42]. The HRE has been previously reported at frequencies of 3.13% in Black patients with ALS, 0% in Middle Eastern patients with sALS and fALS, 0% in Asians with sALS, 0% in Asians with sFTD, and 5% in Asians with fALS [16,41].

Notably, a significantly higher proportion of patients of underrepresented REA tested positive in genes other than C9orf72 compared to patients of European REA. Patient REA (European vs. underrepresented) did not appear to be associated with the type of testing ordered (C9orf72 HRE analysis exclusively versus the addition of multigene panel testing) (p = 0.87). This suggests that clinicians are not considering patient REA in their ordering practices. Our results may reflect clinician bias towards offering the C9orf72 HRE as a sole test; had more patients of underrepresented REA had more comprehensive testing, the proportion of positives in genes other than C9orf72 could potentially be even higher. It is unclear from this data why clinicians ordered C9orf72 HRE analysis exclusively in some cases while in others ordered the analysis of additional genes. Although this could reflect clinical factors not included in our dataset, such as family history, it could also reflect variable and inconsistent clinical practice. Genetic testing guidelines for ALS-FTD are needed to improve the diagnosis in underrepresented and all ALS-FTD patients worldwide.

Our data suggest that the offer of the C9orf72 HRE analysis as a first test to patients of underrepresented REA is indicated in clinical practice in North America and potentially other geographic areas with a history of European colonization and admixture across REA groups. However, additional genetic testing should be offered for patients of underrepresented REA who test negative for the HRE, given that a higher proportion are expected to have pathogenic variants in other genes, such as SOD1. The offer of C9orf72 HRE assay as a sole genetic test may result in reduced ascertainment of genetic ALS-FTD in patients of underrepresented REA and is not recommended for this group.

In this large cohort, the rate of uncertain test outcomes (results with variant(s) of uncertain significance as the only finding) was not significantly different between patients of European and underrepresented REA. Similarly, a study of genetic test outcomes in a midwestern US ALS clinic reported that uncertain test outcomes were not more common in non-Caucasian than Caucasian patients [43]. This finding contrasts with genetic test outcome data from other disease groups including cancer and cardiology, wherein higher rates of uncertain results are observed in patients of underrepresented REA [33,34,44]. Such findings are often attributed to the lack of adequate representation of diverse REA groups in population databases [31,45]. Nonetheless, many patients in the tested cohort had uncertain test outcomes, ranging from 4.2% to 26.3% in different REA groups. In ALS-FTD, options for investigation of specific variants, such as functional studies or segregation analysis, may be limited [43].

These test outcome data reveal that patients with positive test results were more likely to be younger than patients with negative or uncertain results. Additionally, of those that tested positive, patients of underrepresented REA were more likely to be younger than those of European REA. This could reflect increased exposure to environmental or lifestyle risk factors, or genetic factors. We found that patients of underrepresented REA were relatively more likely to have pathogenic variants in genes other than C9orf72 compared to Europeans, and such genes (including SOD1) have been associated with earlier presentations of ALS symptoms than C9orf72 [46]. This finding may suggest that patients with an early onset of symptoms are more likely to have an identifiable genetic etiology, particularly those of underrepresented REA. While the European Federation of Neurological Societies (EFNS) recommends the offer of genetic testing for patients with familial ALS, there is no specific recommendation to test patients with an early onset of symptoms [47]. We suggest that the early onset of symptoms be considered as an additional, alternative criterion for the offer of genetic testing, particularly for patients of underrepresented REA who may be less likely to meet family-history-based testing criteria due to historically limited access to complete family history information [48,49]. We note, however, that early-onset ALS-FTD is poorly defined and should be specified if age of onset becomes a consideration in future genetic testing guidelines and protocols [12,50].

Study Limitations

Although the aim of this study was to investigate the genetic profile of ALS-FTD in patients of diverse REA, patients of European REA comprised the majority of the studied cohort. Many analyses were limited by small numbers in individual REA groups, necessitating the collapsing of different groups into one underrepresented REA category, potentially obscuring important differences. In order to better investigate the genetic profile of specific REA groups, patients from those groups (i.e., African Americans) should be specifically recruited and studied.

Another limitation to this study was that clinician-reported REA was used for this analysis as opposed to genetically determined ancestral assignment. Clinician-reported REA included a variety of geoancestry descriptors that were used as a proxy for the geoancestry categories used in the gnomAD database. The lack of consistent terminology and the intermixing of race, ethnicity, and ancestry terms when reporting REA information has been a barrier to investigating the impact of REA in clinical genetic testing [32,51]. As approximated REA was used for this study, the results of this study may be less accurate than if genetically determined ancestry was used for analysis. This limitation highlights the need for consistency in reporting and using REA information in genetic studies.

5. Conclusions

As genetic testing becomes more widely adapted in patient care, it is crucial to understand the genetic profile of ALS-FTD across all REA groups. This study of a large North American clinical laboratory cohort identified significant differences in the genetic etiologies of ALS-FTD between REA groups and confirmed that genetic testing for ALS-FTD is more likely to establish a diagnosis in patients of European REA, compared to underrepresented REA. Our findings have several implications for clinical genetic testing practice: (1) the offer of the C9orf72 HRE test is indicated for ALS-FTD patients of underrepresented REA in North America; (2) Additional comprehensive genetic testing should be offered for patients of underrepresented REA, either concurrently or as a second step if negative for the HRE; (3) patients with early-onset ALS-FTD should also be considered candidates for comprehensive genetic testing.

Genetic testing protocols which maximize the identification of genetic ALS-FTD in patients of all REA are critically needed as gene-targeted therapies reach clinical trials. The development, evaluation, and publication of REA-specific or comprehensive pan-ethnic genetic testing guidelines will help all patients benefit from the coming age of personalized genetic medicine in ALS-FTD.

Supplementary Materials

The following are available online at https://www.mdpi.com/article/10.3390/genes13010076/s1: Table S1: Variants Detected by Gene Panel Testing on C9orf72 Negative Patients.

Click here for additional data file.

Author Contributions

Conceptualization, M.M., J.R., J.B. and L.D.; methodology, J.R. and M.M.; formal analysis, W.L.; investigation, M.M., J.R. and J.B.; data curation, S.L. and L.D.; writing—original draft preparation, M.M.; writing—review and editing, J.R. and L.D.; All authors have read and agreed to the published version of the manuscript.

Funding

This project was supported by the Julie Bonasera Fund for ALS and Neuromuscular Diseases.

Institutional Review Board Statement

Ethical review and approval were waived for this study, as they are "Not applicable".

Informed Consent Statement

Informed consent was waived at the data consisted of a retrospective, deidentified laboratory cohort. This study was deemed exempt from review by The Ohio State University Institutional Review Board (IRB) in Columbus, Ohio.

Conflicts of Interest

Jennifer Roggenbuck receives research support from the ALS Association and consulting support from Ionis. The funders had no role in the design of this study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results. Luke Drury and Steven Lenz were employed by PreventionGenetics at the time of this study.

Figure 1 (A) Distribution of tests ordered (panel genes listed in Table 1). (B) Cohort REA distribution.

Figure 2 Pathogenic/likely pathogenic variants identified, by patient REA.

genes-13-00076-t001_Table 1 Table 1 Multigene sequencing panels performed in the tested cohort.

Panel 1 (28 gene ALS/dementia panel): ALS2, ANG, ATXN1, CHCHD10, CHMP2B, DCTN1, ERBB4, FIG4, FUS, HNRNPA1, KIF5A, MATR3, NEFH, NEK1, OPTN, PFN1, PRPH, SETX, SIGMAR1, SOD1, SPG11, SQSTM1, TARDBP, TBK1, TUBA4A, UBQLN2, VAPB, VCP	
Panel 2 (24 gene ALS/dementia panel): ANG, ANXA11, ARHGEF28, CDH13, CHMP2B, FUS, GRN, HNRNPA1, HNRNPA2B1, KIF5A, MAPT, OPTN, PFN1, PSEN1, PSEN2, SETX, SOD1, SQSTM1, TARDBP, TBK1, TREM2, UBQLN2, VAPB, VCP	
Panel 3 (11 gene dementia panel): APP, CHMP2B, FUS, GRN, MAPT, PSEN1, PSEN2, SQSTM1, TARDBP, TREM2, UBQLN2	
Panel 4 (5 gene ALS panel): FUS, SOD1, TARDBP, TBK1, VCP	
Panel 5 (3 gene ALS panel): FUS, SOD1, TARDBP	
Single Gene Reflexes: SOD1 and FIG4	

genes-13-00076-t002_Table 2 Table 2 Identification of the C9orf72 HRE across all REA.

	REA	
	African/
African American
(n = 73)	Ashkenazi Jewish
(n = 12)	East Asian
(n = 22)	European Finnish
(n = 3)	European Non-Finnish
(n = 1592)	Latino
(n = 33)	Mixed Non-European
(n = 87)	South Asian
(n = 11)	Other
(n = 78)	p-Value	
Positive	5
(6.8%)	5
(41.7%)	0
(0.0%)	0
(0.0%)	339
(21.3%)	2
(6.1%)	17
(19.5%)	1
(9.1%)	3
(3.8%)	<0.001	
Negative	68
(93.2%)	7
(58.3%)	22
(100.0%)	3
(100.0%)	1246
(78.3%)	31
(93.9%)	68
(78.2%)	10
(90.9%)	75
(96.2%)		
Intermediate	0
(0.0%)	0
(0.0%)	0
(0.0%)	0
(0.0%)	7
(0.4%)	0
(0.0%)	2
(2.3%)	0
(0.0%)	0
(0.0%)		

genes-13-00076-t003_Table 3 Table 3 Identification of the C9orf72 HRE in European and underrepresented REA.

	REA Group	p-Value	
Result	European (n = 1595)	Underrepresented (n = 316)	<0.001	
Positive	339 (21.3%)	33 (10.4%)		
Negative	1249 (78.3%)	281 (88.9%)		
Intermediate	7 (0.4%)	2 (0.6%)		

genes-13-00076-t004_Table 4 Table 4 Identification of positive, negative, and uncertain results on multigene sequencing panels across all REA groups.

	REA	
Results (n, %)	African/
African American
(n = 24)	Ashkenazi Jewish
(n = 5)	East Asian
(n = 10)	European Finnish
(n = 1)	European Non-Finnish
(n = 575)	Latino
(n = 20)	Mixed Non-European
(n = 26)	South Asian
(n = 8)	Other
(n = 19)	p-Value	
Positive	4
(16.7)	0
(0.0)	0
(0.0)	1
(100.0)	38
(6.6)	2
(10.0)	1
(3.8)	0
(0.0)	1
(5.3)	0.012	
Negative	19
(79.2)	5
(100.0)	8
(80.0)	0
(0.0)	486
(84.5)	17
(85.0)	23
(88.5)	6
(75.0)	13
(68.4)		
Variant of Uncertain Significance	1
(4.2)	0
(0.0)	2
(20.0)	0
(0.0)	51
(8.9)	1
(5.0)	2
(7.7)	2
(25.0)	5
(26.3)		

genes-13-00076-t005_Table 5 Table 5 Distribution of positive results of all ALS genes across mixed REA.

Test (n, %)	European
(n = 377)	Underrepresented
(n = 44)	p-Value	
C9 Positive	339 (90)	33 (75)	0.007	
Multigene Panel Positive	38 (10)	11 (25)		

genes-13-00076-t006_Table 6 Table 6 Distribution of age at testing across C9orf72 HRE test outcomes.

	Positive	Intermediate	Negative	p-Value	
n	372	9	1530	0.006	
Age at testing
(Mean, SD)	58.76 (11.54)	59.56 (14.29)	59.56 (14.29)		

genes-13-00076-t007_Table 7 Table 7 Distribution of age at testing across gene panel outcomes.

	Positive	Non-Positive	p-Value	
n	47	641	0.063	
Age at testing (Mean, SD)	57.26 (12.70)	60.78 (12.35)		

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References

1. Siddique N. Siddique T. Amyotrophic Lateral Sclerosis Overview GeneReviews® Adam M.P. Ardinger H.H. Pagon R.A. Wallace S.E. Bean L.J. Mirzaa G. Amemiya A. University of Washington Seattle, WA, USA 1993
2. Broce I.J. Castruita P.A. Yokoyama J.S. Moving Toward Patient-Tailored Treatment in ALS and FTD: The Potential of Genomic Assessment as a Tool for Biological Discovery and Trial Recruitment Front. Neurosci. 2021 15 642-14-9403/fnins.2021.639078
3. Abramzon Y.A. Fratta P. Traynor B.J. Chia R. The Overlapping Genetics of Amyotrophic Lateral Sclerosis and Frontotemporal Dementia Front. Neurosci. 2020 14 42 10.3389/fnins.2020.00042 32116499
4. Ling S.-C. Polymenidou M. Cleveland D.W. Converging Mechanisms in ALS and FTD: Disrupted RNA and Protein Homeostasis Neuron 2013 79 416 642-14-9403/j.neuron.2013.07.033 23931993
5. Rechtman L. Jordan H. Wagner L. Horton D.K. Kaye W. Racial and ethnic differences among amyotrophic lateral sclerosis cases in the United States Amyotroph. Lateral Scler. Front. Degener. 2014 16 65 71 10.3109/21678421.2014.971813 25482100
6. Hogan D. Jetté N. Fiest K.M. Roberts J.I. Pearson D. Smith E.E. Roach P. Kirk A. Pringsheim T. Maxwell C.J. The Prevalence and Incidence of Frontotemporal Dementia: A Systematic Review Can. J. Neurol. Sci. J. Can. Des Sci. Neurol. 2016 43 S96 S642-14-9403/cjn.2016.25
7. Roberts A.L. Johnson N.J. Chen J.T. Cudkowicz M.E. Weisskopf M.G. Race/ethnicity, socioeconomic status, and ALS mortality in the United States Neurology 2642-14-9403 2642-14-9403/WNL.0000000000003298 27742817
8. Marin B. Logroscino G. Boumédiene F. Labrunie A. Couratier P. Babron M.-C. Leutenegger A.-L. Preux P.-M. Beghi E. Clinical and demographic factors and outcome of amyotrophic lateral sclerosis in relation to population ancestral origin Eur. J. Epidemiol. 2015 31 229 642-14-9403/s10654-015-0090-x 26458931
9. Qadri S. Langefeld C.D. Milligan C. Caress J.B. Cartwright M.S. Racial differences in intervention rates in individuals with ALS Neurology 2019 92 e1969 e1974 10.1212/WNL.0000000000007366 30918092
10. Chia R. Chiò A. Traynor B.J. Novel genes associated with amyotrophic lateral sclerosis: Diagnostic and clinical implications Lancet Neurol. 2018 17 94 642-14-9403/S1474-4422(17)30401-5 29154141
11. Roggenbuck J. Fong J.C. Genetic Testing for Amyotrophic Lateral Sclerosis and Frontotemporal Dementia Clin. Lab. Med. 2020 40 271 642-14-9403/j.cll.2020.05.002 32718499
12. Roggenbuck J. Quick A. Kolb S.J. Genetic testing and genetic counseling for amyotrophic lateral sclerosis: An update for clinicians Genet. Med. 2017 19 267 642-14-9403/gim.2016.107 27537704
13. Test. Amyotrophic Lateral Sclerosis (ALS) and Frontotemporal Dementia (FTD) Panel—PreventionGenetics Available online: https://www.preventiongenetics.com/testInfo?val=Amyotrophic+Lateral+Sclerosis+%28ALS%29+and+Frontotemporal+Dementia+%28FTD%29+Panel (accessed on 24 November 2021)
14. Mok K. Traynor B.J. Schymick J. Tienari P.J. Laaksovirta H. Peuralinna T. Myllykangas L. Chiò A. Shatunov A. Boeve B.F. The chromosome 9 ALS and FTD locus is probably derived from a single founder Neurobiol. Aging 2012 33 209.e3 209.e8 10.1016/j.neurobiolaging.2011.08.005
15. Pliner H.A. Mann D.M. Traynor B.J. Searching for Grendel: Origin and global spread of the C9ORF72 repeat expansion Acta Neuropathol. 2014 127 391 642-14-9403/s00401-014-1250-x 24496499
16. Majounie E. Renton A.E. Mok K. Dopper E.G. Waite A. Rollinson S. Chio A. Restagno G. Nicolaou N. Sánchez J.S. Frequency of the C9orf72 hexanucleotide repeat expansion in patients with amyotrophic lateral sclerosis and frontotemporal dementia: A cross-sectional study Lancet Neurol. 2012 11 323 642-14-9403/S1474-4422(12)70043-1 22406228
17. Liu X. He J. Gao F.-B. Gitler A.D. Fan D. The epidemiology and genetics of Amyotrophic lateral sclerosis in China Brain Res. 2018 1693 121 642-14-9403/j.brainres.2018.02.035 29501653
18. Nel M. Agenbag G.M. Henning F. Cross H.M. Esterhuizen A. Heckmann J.M. C9orf72 repeat expansions in South Africans with amyotrophic lateral sclerosis J. Neurol. Sci. 2019 401 51 54 10.1016/j.jns.2019.04.026 31009932
19. Chio A. Battistini S. Calvo A. Caponnetto C. Conforti F.L. Corbo M. Giannini F. Mandrioli J. Mora G. Sabatelli M. Genetic counselling in ALS: Facts, uncertainties and clinical suggestions J. Neurol. Neurosurg. Psychiatry 2013 85 478 642-14-9403/jnnp-573.975.7776 23833266
20. Kwon M.-J. Baek W. Ki C.-S. Kim H.Y. Koh S.-H. Kim J.-W. Kim S.H. Screening of the SOD1, FUS, TARDBP, ANG, and OPTN mutations in Korean patients with familial and sporadic ALS Neurobiol. Aging {{PHONE+SOCIAL_SECURITY_NUMBER}}.e17 1017.e23 10.1016/j.neurobiolaging.2011.12.003
21. Alavi A. Nafissi S. Rohani M. Zamani B. Sedighi B. Shamshiri H. Fan J.-B. Ronaghi M. Elahi E. Genetic analysis and SOD1 mutation screening in Iranian amyotrophic lateral sclerosis patients Neurobiol. Aging {{PHONE+SOCIAL_SECURITY_NUMBER}}.e1 1516.e8 10.1016/j.neurobiolaging.2012.09.006
22. DeJesus-Hernandez M. Desaro P. Johnston A. Ross O.A. Wszolek Z.K. Ertekin-Taner N. Graff-Radford N.R. Rademakers R. Boylan K. Novel p.Ile151Val mutation in VCP in a patient of African American descent with sporadic ALS Neurology 2642-14-9403 1642-14-9403/WNL.0b013e31822e563c 21880997
23. Zou Z.-Y. Liu M.-S. Li X.-G. Cui L.-Y. Screening of VCP mutations in Chinese amyotrophic lateral sclerosis patients Neurobiol. Aging {{PHONE+SOCIAL_SECURITY_NUMBER}}.e3 1519.e4 10.1016/j.neurobiolaging.2012.10.002
24. Renton A.E. Chio A. Traynor B.J. State of play in amyotrophic lateral sclerosis genetics Nat. Neurosci. 2014 17 17 23 10.1038/nn.3584 24369373
25. Zou Z.-Y. Cui L.-Y. Sun Q. Li X.-G. Liu M.-S. Xu Y. Zhou Y. Yang X.-Z. De novo FUS gene mutations are associated with juvenile-onset sporadic amyotrophic lateral sclerosis in China Neurobiol. Aging {{PHONE+SOCIAL_SECURITY_NUMBER}}.e1 1312.e8 10.1016/j.neurobiolaging.2012.09.005 23046859
26. Mejzini R. Flynn L. Pitout I.L. Fletcher S. Wilton S. Akkari P.A. ALS Genetics, Mechanisms, and Therapeutics: Where Are We Now? Front. Neurosci. 2642-14-9403 10.3389/fnins.2019.01310 31866818
27. Miller R.G. Jackson C.E. Kasarskis E.J. England J.D. Forshew D. Johnston W. Kalra S. Katz J.S. Mitsumoto H. Rosenfeld J. Practice Parameter update: The care of the patient with amyotrophic lateral sclerosis: Multidisciplinary care, symptom management, and cognitive/behavioral impairment (an evidence-based review): Report of the Quality Standards Subcommittee of the American Academy of Neurology Neurology 2642-14-9403 1642-14-9403/wnl.0b013e3181bc01a4 19822873
28. Klepek H. Nagaraja H. Goutman S.A. Quick A. Kolb S.J. Roggenbuck J. Lack of consensus in ALS genetic testing practices and divergent views between ALS clinicians and patients Amyotroph. Lateral Scler. Front. Degener. 2019 20 216 642-14-9403/21678421.2019.1582670
29. Vajda A. McLaughlin R.L. Heverin M. Thorpe O. Abrahams S. Al-Chalabi A. Hardiman O. Genetic testing in ALS Neurology 2017 88 991 999 10.1212/WNL.0000000000003686 28159885
30. Arthur K.C. Doyle C. Chiò A. Traynor B.J. Use of Genetic Testing in Amyotrophic Lateral Sclerosis by Neurologists JAMA Neurol. 2017 74 125 642-14-9403/jamaneurol.2016.4540 27893008
31. Popejoy A.B. Fullerton S.M. Genomics is failing on diversity Nat. Cell Biol. 2016 538 161 642-14-9403/538161a
32. Popejoy A.B. Ritter D.I. Crooks K. Currey E. Fullerton S.M. Hindorff L.A. Koenig B. Ramos E.M. Sorokin E.P. Wand H. The clinical imperative for inclusivity: Race, ethnicity, and ancestry (REA) in genomics Hum. Mutat. 2642-14-9403 1642-14-9403/humu.23644 30311373
33. Ndugga-Kabuye M.K. Issaka R.B. Inequities in multi-gene hereditary cancer testing: Lower diagnostic yield and higher VUS rate in individuals who identify as Hispanic, African or Asian and Pacific Islander as compared to European Fam. Cancer 2019 18 465 642-14-9403/s10689-019-00144-6 31531760
34. Landry L.G. Rehm H.L. Association of Racial/Ethnic Categories with the Ability of Genetic Tests to Detect a Cause of Cardiomyopathy JAMA Cardiol. 2018 3 341 642-14-9403/jamacardio.2017.5333 29490334
35. Morales J. Welter D. Bowler E.H. Cerezo M. Harris L.W. McMahon A.C. Hall P. Junkins H.A. Milano A. Hastings E. A standardized framework for representation of ancestry data in genomics studies, with application to the NHGRI-EBI GWAS Catalog Genome Biol. 573.975.7776.1186/s13059-018-1396-2 29448949
36. Hoffman-Andrews L. The known unknown: The challenges of genetic variants of uncertain significance in clinical practice J. Law Biosci. 2017 4 648 642-14-9403/jlb/lsx038 29868193
37. Richards S. Aziz N. Bale S. Bick D. Das S. Gastier-Foster J. Grody W.W. Hegde M. Lyon E. Spector E. Standards and guidelines for the interpretation of sequence variants: A joint consensus recommendation of the American College of Medical Genetics and Genomics and the Association for Molecular Pathology Genet. Med. 2015 17 405 642-14-9403/gim.2{{SOCIAL_SECURITY_NUMBER+PHONE}}
38. Ashida S. Goodman M.S. Stafford J. Lachance C. Kaphingst K.A. Perceived familiarity with and importance of family health history among a medically underserved population J. Community Genet. 2012 3 285 642-14-9403/s12687-012-0097-x 22569765
39. Lin J. Marcum C.S. Myers M. Koehly L.M. Racial differences in family health history knowledge of type 2 diabetes: Exploring the role of interpersonal mechanisms Transl. Behav. Med. 2018 8 540 642-14-9403/tbm/ibx062 29346616
40. Thompson T. Seo J. Griffith J. Baxter M. James A. Kaphingst K.A. "You don't have to keep everything on paper": African American women's use of family health history tools J. Community Genet. 2013 4 251 642-14-9403/s12687-013-0138-0 23397492
41. Brand D. Polak M. Glass J.D. Fournier C.N. Comparison of Phenotypic Characteristics and Prognosis between Black and White Patients in a Tertiary ALS Clinic Neurology 2020 96 e840 e642-14-9403/WNL.0000000000011396 33372030
42. Goldstein O. Gana-Weisz M. Nefussy B. Vainer B. Nayshool O. Bar-Shira A. Traynor B.J. Drory V.E. Orr-Urtreger A. High frequency of C9orf72 hexanucleotide repeat expansion in amyotrophic lateral sclerosis patients from two founder populations sharing the same risk haplotype Neurobiol. Aging 2018 64 160.e1 160.e7 10.1016/j.neurobiolaging.2017.12.015
43. Roggenbuck J. Rich K.A. Vicini L. Palettas M. Schroeder J. Zaleski C. Lincoln T. Drury L. Glass J.D. Amyotrophic Lateral Sclerosis Genetic Access Program Neurol. Genet. 2021 7 e642-14-9403/NXG.0000000000000615 34386583
44. Caswell-Jin J.L. Gupta T. Hall E. Petrovchich I.M. Mills M.A. Kingham K.E. Koff R. Chun N.M. Levonian P. Lebensohn A.P. Racial/ethnic differences in multiple-gene sequencing results for hereditary cancer risk Genet. Med. 2018 20 234 642-14-9403/gim.2642-14-94039474
45. Peterson R.E. Kuchenbaecker K. Walters R.K. Chen C.-Y. Popejoy A.B. Periyasamy S. Lam M. Iyegbe C. Strawbridge R.J. Brick L. Genome-wide Association Studies in Ancestrally Diverse Populations: Opportunities, Methods, Pitfalls, and Recommendations Cell 2019 179 589 642-14-9403/j.cell.2019.08.051 31607513
46. Couratier P. Lautrette G. Luna J. Corcia P. Phenotypic variability in amyotrophic lateral sclerosis Rev. Neurol. 2021 177 536 642-14-9403/j.neurol.2021.03.001 33902945
47. EFNS Task Force on Diagnosis and Management of Amyotrophic Lateral Sclerosis Andersen P.M. Abrahams S. Borasio G.D. de Carvalho M. Chio A. Van Damme P. Hardiman O. Kollewe K. Morrison K.E. EFNS guidelines on the Clinical Management of Amyotrophic Lateral Sclerosis (MALS)—Revised report of an EFNS task force Eur. J. Neurol. 2011 19 360 642-14-9403/j.1468-1331.2011.03501.x 21914052
48. Centers for Disease Control and Prevention (CDC) Awareness of Family Health History as a Risk Factor for Disease—United States, 2004 MMWR Morb. Mortal. Wkly. Rep. 2642-14-9403 1047 15538320
49. Kaphingst K. Lachance C. Gepp A. D'Anna L.H. Rios-Ellis B. Educating Underserved Latino Communities about Family Health History Using Lay Health Advisors Public Health Genom. 2011 14 211 642-14-9403/000272456
50. Mehta P.R. Jones A.R. Opie-Martin S. Shatunov A. Iacoangeli A. Al Khleifat A. Smith B.N. Topp S. Morrison K.E. Shaw P.J. Younger age of onset in familial amyotrophic lateral sclerosis is a result of pathogenic gene variants, rather than ascertainment bias J. Neurol. Neurosurg. Psychiatry 2019 90 268 642-14-9403/jnnp-573.975.7776 30270202
51. Popejoy A.B. Crooks K.R. Fullerton S.M. Hindorff L.A. Hooker G.W. Koenig B.A. Pino N. Ramos E.M. Ritter D.I. Wand H. Clinical Genetics Lacks Standard Definitions and Protocols for the Collection and Use of Diversity Measures Am. J. Hum. Genet. 2020 107 72 82 10.1016/j.ajhg.2020.05.005 32504544


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