Literature DB >> 32401282

Clinical Genetic Testing in Autism Spectrum Disorder in a Large Community-Based Population Sample.

Daniel Moreno-De-Luca1,2,3,4, Brian C Kavanaugh1,2,3,4, Carrie R Best1,2,3,4, Stephen J Sheinkopf1,2,3,4,5,6, Chanika Phornphutkul2,4,5,7, Eric M Morrow1,2,3,4,8.   

Abstract

Entities:  

Mesh:

Year:  2020        PMID: 32401282      PMCID: PMC7221847          DOI: 10.1001/jamapsychiatry.2020.0950

Source DB:  PubMed          Journal:  JAMA Psychiatry        ISSN: 2168-622X            Impact factor:   21.596


× No keyword cloud information.
Autism spectrum disorder (ASD) is among the most strongly genetic neuropsychiatric conditions, with an increased frequency of rare, deleterious copy number variants and single-nucleotide variants. Because of this, several medical professional societies have recommended offering chromosomal microarray (CMA) testing and Fragile X testing for people with ASD,[1] with growing support for exome sequencing as the first-tier genetic test.[2] To understand the implementation of genetic testing in a real-world population, we analyzed data from the Rhode Island Consortium for Autism Research and Treatment (RI-CART) study, a large, population-based study of people with ASD.[3]

Methods

This study was approved by the institutional review board at Lifespan, and all participants provided written informed consent. We analyzed self-report data and medical records, when available, from 1280 participants in the RI-CART study, recruited between April 1, 2013, and April 30, 2019, with ASD diagnosis confirmed by assessment using the Autism Diagnostic Observation Schedule, Second Edition (ADOS-2).[3] Statistical analyses included Pearson correlations, χ2 analyses, and analyses of variance. Statistical significance was set at a 2-sided P value less than .05.

Results

Of these 1280 participants with confirmed ASD diagnosis by ADOS-2, ages ranged from 1.75 years to 68.48 years, and 16.5% (n = 211) reported having received some genetic testing, as follows: Fragile X in 13.2% (n = 169), karyotype in 7.2% (n = 92), and CMA in 4.5% (n = 57). Remarkably, only 3% of participants (n = 39) reported having received both recommended tests (Fragile X and CMA); 9.4% (n = 121) reported that they were unsure whether they had received any testing; and 21.4% did not answer (n = 274). We next examined factors associated with receiving genetic testing. Participants who reported any genetic testing showed an earlier age at ASD diagnosis (mean age, 4.2 years; range, 1.33-27.1 vs 6.1 years; range, 1.2-51.0; F1,597 = 13.258; P < .001), greater ASD severity (mean [SD] ADOS-2, 7.33 [1.8] vs 6.99 [1.8]; F1,1169 = 5.583; P = .02), and higher frequency of intellectual disability (odds ratio, 3.327; 95% CI, 2.382-4.649; P < .001) and epilepsy (odds ratio, 3.093; 95% CI, 1.748-5.474; P < .001). We examined factors associated specifically with CMA testing (Table). Patients diagnosed by subspecialist pediatricians were more likely to report genetic testing compared with those diagnosed by psychiatrists and psychologists. Analysis by age at enrollment indicated that younger participants were more likely to report having received CMA testing (Figure, A). Analysis by calendar year of ASD diagnosis indicated that CMA testing increased, and Fragile X and karyotype testing decreased in the last decade (Figure, B). These results reflect changes in genetic testing practices; however, a sustained overall low frequency of genetic testing in the group remains.
Table.

Clinical Factors Associated With CMA Testing

CharacteristicNo.bNo. (%)F2P value
CMA (n = 57)No CMA (n = 815)
Clinical presentation
Male87240 (70.2)650 (79.8)2.960.09
Age at enrollment, mean (SD), y8729.1 (5.3)12.8 (9.3)8.758.003
Verbal yes (parent report)c,d84040 (70.2)706 (90.2)21.365<.001
ADOS-2 severity, mean (SD)e8087.2 (1.7)7.0 (1.8).769.38
VABS-II ABC, mean (SD)66668.8 (18.0)73.0 (17.7)2.198.14
ASD diagnosis
Age at ASD diagnosis, mean (SD), y4234.5 (3.5)6.0 (6.0)2.325.13
ASD diagnosing clinicianf,g
Pediatrician43113 (41.9)57 (14.3)18.062<.001
Psychiatrist4315 (16.1)85 (21.3)
Psychologist4316 (19.4)175 (43.8)
Neurologist4317 (22.6)83 (20.8)
Co-occurring diagnoses
Epilepsy8724 (7)30 (3.7)1.583.21
Intellectual disability87215 (26.3)109 (13.4)7.315.007
Demographics
Private insurance87237 (65)519 (63.7).035.85
Medicaid insurance87241 (72.0)384 (47.1)13.129<.001

Abbreviations: ADOS-2, Autism Diagnostic Observation Schedule, Second Edition; ASD, autism spectrum disorder; CMA, chromosomal microarray; VABS-II ABC, Vineland Adaptive Behavior Scales, Second Edition: Adaptive Behavior Composite.

Results reflect a subsample of the total sample (n = 1280) that indicated yes or no to prior CMA testing (n = 872).

Variables with a number less than 872 reflect data not completed by participants.

Verbal yes: participant is able to verbally communicate, based on parent report.

Reported data reflect a denominator of 57 for CMA and of 783 for no CMA.

A severity score was not available for 64 participants, resulting in n = 808.

ASD diagnosing clinician: type of clinician who diagnosed the participant with ASD.

Reported data reflect a denominator of 31 for CMA and of 400 for no CMA.

Figure.

Percentage of Rhode Island Consortium for Autism Research and Treatment (RI-CART) Study Participants With Genetic Testing

A, Percentage of participants who reported genetic testing with respect to the age of the participant at the time of enrollment in the RI-CART study between 2013 and 2019. Participants aged 10 years and older have a very low rate of the most modern tests such as chromosomal microarray. B, Percentage of participants who reported genetic testing with respect to the calendar year in which the participant received an autism spectrum disorder diagnosis. Error bars indicate 95% CI.

Abbreviations: ADOS-2, Autism Diagnostic Observation Schedule, Second Edition; ASD, autism spectrum disorder; CMA, chromosomal microarray; VABS-II ABC, Vineland Adaptive Behavior Scales, Second Edition: Adaptive Behavior Composite. Results reflect a subsample of the total sample (n = 1280) that indicated yes or no to prior CMA testing (n = 872). Variables with a number less than 872 reflect data not completed by participants. Verbal yes: participant is able to verbally communicate, based on parent report. Reported data reflect a denominator of 57 for CMA and of 783 for no CMA. A severity score was not available for 64 participants, resulting in n = 808. ASD diagnosing clinician: type of clinician who diagnosed the participant with ASD. Reported data reflect a denominator of 31 for CMA and of 400 for no CMA.

Percentage of Rhode Island Consortium for Autism Research and Treatment (RI-CART) Study Participants With Genetic Testing

A, Percentage of participants who reported genetic testing with respect to the age of the participant at the time of enrollment in the RI-CART study between 2013 and 2019. Participants aged 10 years and older have a very low rate of the most modern tests such as chromosomal microarray. B, Percentage of participants who reported genetic testing with respect to the calendar year in which the participant received an autism spectrum disorder diagnosis. Error bars indicate 95% CI.

Discussion

This study shows that only 3% of participants reported having undergone the recommended clinical genetic testing for ASD, highlighting a dissonance between professional recommendations and clinical practice. Multiple possible reasons exist for this gap, including (1) participant preferences, although current evidence shows that most parents of people with ASD have favorable attitudes toward genetic testing[4,5]; and (2) insurance coverage constraints,[5] but this has changed after the appearance of medical professional recommendations. Interestingly, we see no difference in CMA testing in participants with and without private insurance but a strong increase in testing in participants with public insurance (Table). Other reasons include (3) limits in clinician knowledge and comfort with genetic testing, with our data showing a lower frequency of genetic testing in people diagnosed with ASD by psychiatrists and psychologists and (4) changes in genetic testing practices over time and a reduced likelihood of adults with ASD being offered testing. Study limitations include that these results were based largely on participant self-report. In conclusion and moving forward, addressing the barriers to testing is crucial to enhance the implementation of genetic testing in clinical practice so that every person with ASD can receive optimal care.
  5 in total

1.  Autism Heterogeneity in a Densely Sampled U.S. Population: Results From the First 1,000 Participants in the RI-CART Study.

Authors:  Carolyn E B McCormick; Brian C Kavanaugh; Danielle Sipsock; Giulia Righi; Lindsay M Oberman; Daniel Moreno De Luca; Ece D Gamsiz Uzun; Carrie R Best; Beth A Jerskey; Joanne G Quinn; Susan B Jewel; Pei-Chi Wu; Rebecca L McLean; Todd P Levine; Hasmik Tokadjian; Kayla A Perkins; Elaine B Clarke; Brittany Dunn; Alan H Gerber; Elena J Tenenbaum; Thomas F Anders; Stephen J Sheinkopf; Eric M Morrow
Journal:  Autism Res       Date:  2020-01-20       Impact factor: 5.216

Review 2.  Autism genetics: opportunities and challenges for clinical translation.

Authors:  Jacob A S Vorstman; Jeremy R Parr; Daniel Moreno-De-Luca; Richard J L Anney; John I Nurnberger; Joachim F Hallmayer
Journal:  Nat Rev Genet       Date:  2017-03-06       Impact factor: 53.242

3.  Parents' Attitudes toward Clinical Genetic Testing for Autism Spectrum Disorder-Data from a Norwegian Sample.

Authors:  Jarle Johannessen; Terje Nærland; Sigrun Hope; Tonje Torske; Anne Lise Høyland; Jana Strohmaier; Arvid Heiberg; Marcella Rietschel; Srdjan Djurovic; Ole A Andreassen
Journal:  Int J Mol Sci       Date:  2017-05-18       Impact factor: 5.923

4.  Meta-analysis and multidisciplinary consensus statement: exome sequencing is a first-tier clinical diagnostic test for individuals with neurodevelopmental disorders.

Authors:  Siddharth Srivastava; Jamie A Love-Nichols; Kira A Dies; David H Ledbetter; Christa L Martin; Wendy K Chung; Helen V Firth; Thomas Frazier; Robin L Hansen; Lisa Prock; Han Brunner; Ny Hoang; Stephen W Scherer; Mustafa Sahin; David T Miller
Journal:  Genet Med       Date:  2019-06-11       Impact factor: 8.822

5.  Autism genetic testing: a qualitative study of awareness, attitudes, and experiences among parents of children with autism spectrum disorders.

Authors:  Lei-Shih Chen; Lei Xu; Tse-Yang Huang; Shweta U Dhar
Journal:  Genet Med       Date:  2013-01-03       Impact factor: 8.822

  5 in total
  9 in total

1.  Comprehensive Genetic Analysis of Non-syndromic Autism Spectrum Disorder in Clinical Settings.

Authors:  Kei Ohashi; Satomi Fukuhara; Taishi Miyachi; Tomoko Asai; Masayuki Imaeda; Masahide Goto; Yoshie Kurokawa; Tatsuya Anzai; Yoshinori Tsurusaki; Noriko Miyake; Naomichi Matsumoto; Takanori Yamagata; Shinji Saitoh
Journal:  J Autism Dev Disord       Date:  2021-02-15

Review 2.  Genes To Mental Health (G2MH): A Framework to Map the Combined Effects of Rare and Common Variants on Dimensions of Cognition and Psychopathology.

Authors:  Sébastien Jacquemont; Guillaume Huguet; Marieke Klein; Samuel J R A Chawner; Kirsten A Donald; Marianne B M van den Bree; Jonathan Sebat; David H Ledbetter; John N Constantino; Rachel K Earl; Donna M McDonald-McGinn; Therese van Amelsvoort; Ann Swillen; Anne H O'Donnell-Luria; David C Glahn; Laura Almasy; Evan E Eichler; Stephen W Scherer; Elise Robinson; Anne S Bassett; Christa Lese Martin; Brenda Finucane; Jacob A S Vorstman; Carrie E Bearden; Raquel E Gur
Journal:  Am J Psychiatry       Date:  2022-03       Impact factor: 19.242

3.  Testing and extending strategies for identifying genetic disease-related encounters in pediatric patients.

Authors:  Lisa P Spees; Karen Hicklin; Michael C Adams; Laura Farnan; Jeannette T Bensen; Donna B Gilleskie; Jonathan S Berg; Bradford C Powell; Kristen Hassmiller Lich
Journal:  Genet Med       Date:  2022-01-13       Impact factor: 8.864

4.  Advancing artificial intelligence-assisted pre-screening for fragile X syndrome.

Authors:  Arezoo Movaghar; David Page; Murray Brilliant; Marsha Mailick
Journal:  BMC Med Inform Decis Mak       Date:  2022-06-10       Impact factor: 3.298

Review 5.  Diagnostic genetic testing for neurodevelopmental psychiatric disorders: closing the gap between recommendation and clinical implementation.

Authors:  Brenda M Finucane; David H Ledbetter; Jacob As Vorstman
Journal:  Curr Opin Genet Dev       Date:  2021-01-09       Impact factor: 5.578

6.  Prevalence of Underdiagnosed Fragile X Syndrome in 2 Health Systems.

Authors:  Arezoo Movaghar; David Page; Murray Brilliant; Marsha Mailick
Journal:  JAMA Netw Open       Date:  2021-12-01

7.  Access, utilization, and awareness for clinical genetic testing in autism spectrum disorder in Sweden: A survey study.

Authors:  Anna Hellquist; Kristiina Tammimies
Journal:  Autism       Date:  2021-12-28

Review 8.  Barriers to genetic testing in clinical psychiatry and ways to overcome them: from clinicians' attitudes to sociocultural differences between patients across the globe.

Authors:  Justo Pinzón-Espinosa; Marte van der Horst; Janneke Zinkstok; Jehannine Austin; Cora Aalfs; Albert Batalla; Patrick Sullivan; Jacob Vorstman; Jurjen J Luykx
Journal:  Transl Psychiatry       Date:  2022-10-11       Impact factor: 7.989

Review 9.  Harnessing rare variants in neuropsychiatric and neurodevelopment disorders-a Keystone Symposia report.

Authors:  Jennifer Cable; Ryan H Purcell; Elise Robinson; Jacob A S Vorstman; Wendy K Chung; John N Constantino; Stephan J Sanders; Mustafa Sahin; Ricardo E Dolmetsch; Bina Maniar Shah; Audrey Thurm; Christa L Martin; Carrie E Bearden; Jennifer G Mulle
Journal:  Ann N Y Acad Sci       Date:  2021-08-02       Impact factor: 6.499

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.