NeuroGenetics
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NeuroGenetics Curriculum·advanced·20 min

Diagnostic Yields Across Phenotypes

A quantitative framework for selecting genomic tests in pediatric neurology. Covers CMA, WES, and WGS yields across epilepsy, neurodevelopmental, movement, and white-matter phenotypes — with real numbers from meta-analyses and large cohort studies, and the clinical reasoning behind test selection.

Tags: Neurogenetics · Clinical Decision-Making

Learning Objectives

  1. 1.Explain the key variables that cause reported diagnostic yields to vary across published studies
  2. 2.Compare the technical scope of CMA, WES, and WGS and identify what each platform cannot detect
  3. 3.Recall approximate WES/WGS yields for NICU encephalopathy, DEE, IESS, GDD/ID, CP, leukodystrophy, and ataxia
  4. 4.Identify phenotypes where CMA retains first-tier value alongside or before WES
  5. 5.Recognize that repeat expansion disorders require dedicated testing beyond standard WES; modern WGS may screen for some STR disorders
  6. 6.Apply yield data to real clinical decisions: which test, which strategy (singleton vs. trio), and when to reanalyze

01Why Yield Numbers Vary

Published diagnostic yields for the same test can range from 10% to 72%. Before citing any number clinically, understand the six key variables:

  • Cohort selection — the biggest driver. Specialty-clinic cohorts enriched for severe/complex disease yield 40–72%; population-level cohorts with milder phenotypes yield 15–25%. Always ask: who was in the denominator?
  • Singleton vs. trio — trio sequencing (proband + both parents) approximately doubles yield for de novo-enriched phenotypes (OR ~2.04, Clark et al. 2018). For severe DEE, GDD, or MCA, trio is essential.
  • Prior testing — a post-CMA-negative WES cohort yields ~25–35%, while first-tier WES in the same phenotype yields ~30–45%. Prior negative tests remove diagnoses from the denominator.
  • Database maturation — reanalysis of older WES data yields new diagnoses in ~10–25% of unsolved cases. A negative WES is time-stamped, not permanent.
  • CMA platform — SNP arrays detect UPD and autozygosity (important for imprinting disorders); oligo-only arrays miss this.
  • Severity — younger onset, multi-system involvement, epilepsy comorbidity, and distinctive features all independently predict higher yield. Mild isolated phenotypes (isolated ASD without ID) consistently show the lowest yields.

Key Points

  • Cohort selection is the single largest driver of yield variation — specialty clinic vs. population level
  • Trio sequencing ~doubles yield for de novo-enriched phenotypes (DEE, GDD, MCA); OR ~2.04
  • Negative WES results are time-stamped: reanalysis at 12–24 months yields new diagnoses in ~10–25% of unsolved cases
  • SNP-array CMA detects UPD and autozygosity; oligo arrays do not — platform matters for imprinting disorders
  • Younger onset, multi-system involvement, and comorbid epilepsy independently predict higher yield

02CMA vs. WES vs. WGS

Chromosomal Microarray (CMA) — Pooled NDD yield: ~10%

  • Detects CNVs ≥50–200 kb, aneuploidy; SNP arrays add UPD/autozygosity
  • Does NOT detect SNVs, small indels, balanced rearrangements, or repeat expansions
  • Inexpensive, rapid, decades of validation
  • Still first-tier for MCA, IESS, and ID (complements WES)

Whole Exome Sequencing (WES) — Pooled NDD yield: ~36%

  • Captures the ~2% of genome encoding proteins (SNVs + small indels)
  • Misses deep intronic, regulatory, balanced SVs, and repeat expansions
  • CNV detection possible but less sensitive than CMA
  • Standard first-tier test for undiagnosed NDD/ID at most academic centres

Whole Genome Sequencing (WGS) — Pooled NDD yield: ~41%

  • Adds balanced SVs, deep intronic/regulatory variants, improved mitochondrial coverage
  • May screen for some STR disorders (ExpansionHunter), but sensitivity is variable
  • WGS vs. WES yield is NOT significantly different overall (OR 1.13, p=0.50)
  • Incremental gain concentrated in: post-WES-negative patients, leukodystrophies, atypical CP

Repeat expansion blind spot: Standard WES does NOT detect trinucleotide/pentanucleotide repeat expansions — Friedreich ataxia, SCA types, CANVAS, Fragile X/FXTAS, DM1/DM2, Huntington, C9orf72. Dedicated repeat-primed PCR, Southern blot, or long-read sequencing remain the gold standard. Always consider whether the phenotype suggests a repeat disorder before declaring testing complete.

Key Points

  • CMA: ~10% yield; detects CNVs and aneuploidy; SNP arrays add UPD/AOH; does not detect SNVs
  • WES: ~36% yield; detects coding SNVs/indels; misses deep intronic, regulatory, balanced SVs, and repeat expansions
  • WGS: ~41% yield; adds intronic/regulatory/SV detection; NOT significantly better than WES overall (OR 1.13)
  • WES does NOT detect repeat expansions (Friedreich, SCA, CANVAS, DM1, HD, C9orf72) — dedicated testing required
  • Many labs now run CMA + WES simultaneously to capture both CNV and SNV space in one workflow

03Yield by Phenotype: Epilepsy

NICU / Neonatal Encephalopathy

  • rWES 20–35%; rWGS 35–50% (comparable in RCT, Maron et al. JAMA 2023)
  • ~18% of NICU admissions carry a Mendelian disease
  • Diagnosis changed management in 38–50% of cases — highest clinical utility in paediatric genetics

Developmental & Epileptic Encephalopathy (DEE)

  • WES 24–40%, WGS 35–50%
  • Highest yields in specific syndromes: EIMFS/Dravet ~78%, early infantile DEE ~43%

Infantile Epileptic Spasms (IESS)

  • Meta-analysis: CMA 14%, WES 26% (CI 21–31%)
  • Genetic diagnosis enables precision therapy in 61.6% of genetically explained cases

Non-DEE Epilepsy (focal or generalized, normal development)

  • WES 10–18%; gene panel is a reasonable first step
  • CMA rarely diagnostic for point-mutation epilepsies (SCN1A, GABRA1, GABRG2)

Drug-Resistant Epilepsy

  • Drug resistance independently predicts higher yield
  • All-epilepsy meta-analysis (Sheidley 2022, n=39,094): CMA 9%, WES 24%, WGS 48%

Key Points

  • NICU: rWGS/rWES 35–50%; diagnosis changes management in 38–50% of cases — highest clinical utility in paediatric genetics
  • DEE: WES 24–40%; specific syndromes yield highest (EIMFS/Dravet ~78%)
  • IESS: CMA 14%, WES 26%; genetic diagnosis enables precision therapy in 61.6% of explained cases
  • Non-DEE epilepsy: WES 10–18%; gene panel is a reasonable first step
  • Drug resistance independently predicts higher yield; see the [[epilepsy|Genetic Epilepsies]] module for gene-specific syndromes and precision treatment

04Yield by Phenotype: Neurodevelopment

GDD (infant/toddler, unexplained)

  • WES first-tier 30–40%; trio + CNV-seq up to 61% (Zhang 2024, n=434)
  • Trio ~doubles yield vs. singleton (OR ~2.04)
  • Strongest yield predictors: moderate-to-severe impairment, age 12–24 mo, craniofacial features

Intellectual Disability (child/adolescent)

  • WES 30–45%; WGS 35–50%
  • ACMG 2021 supports WES/WGS as first-/second-tier (Manickam et al.)
  • DDD study (Wright et al. 2023): 41% trio WGS yield

Isolated ASD (without ID, epilepsy, or distinctive features)

  • Lowest NDD yield: WES 10–15%
  • Comorbid ID raises yield to ~25–30%
  • CMA retains value for recurrence counseling even without diagnosis

Multiple Congenital Anomalies (MCA)

  • CMA is productive first step at 15–25%
  • WES/WGS 35–55%; MCA+ID up to 62%
  • Consanguinity substantially raises recessive diagnosis yield

Cerebral Palsy (unexplained, no clear perinatal cause)

  • WES overall 31% (CI 24–39%), pediatric-specific 35%, strict exclusion 42% (Gonzalez-Mantilla, JAMA Pediatr 2023)
  • CP+ID yields 38% vs. 18% without ID

Macrocephaly

  • WES 20–40%; key genes: PTEN, PIK3CA, NF1, RAS-MAPK pathway
  • Somatic mosaic overgrowth (PIK3CA, AKT3) may need deep sequencing or tissue biopsy

Key Points

  • GDD: trio WES + CNV-seq up to 61% yield; trio ~doubles yield vs. singleton
  • ID: WES 30–45%, WGS 35–50%; ACMG 2021 supports WES/WGS as first-/second-tier
  • Isolated ASD: lowest NDD yield (WES 10–15%); comorbid ID raises to ~25–30%
  • Unexplained CP: WES ~31% overall, 42% with strict perinatal exclusion; CP+ID yields 38%
  • MCA: CMA productive first step (15–25%); WES/WGS 35–55%
  • Somatic mosaic overgrowth syndromes may require deep sequencing or tissue biopsy — standard WES on blood may miss

05Yield by Phenotype: Movement & White Matter

Episodic Ataxia

  • WES 20–35%; almost exclusively ion-channel point mutations (KCNA1, CACNA1A, ATP1A3)
  • Gene panel competitive with WES for well-defined phenotype

Progressive (Hereditary) Ataxia

  • WES ceiling ~50% in specialty cohorts (Fogel et al. 2020); WGS 40–55%
  • Most common hereditary ataxias are NOT detected by WES/WGS — they require dedicated repeat testing:
  • Friedreich ataxia (FXN GAA repeat) → repeat-primed PCR
  • SCA types (CAG repeats) → repeat analysis
  • CANVAS (RFC1 AAGGG repeat) → Southern blot or long-read sequencing
  • FXTAS (FMR1 CGG premutation) → FMR1 PCR
  • Always ask after a negative WES in ataxia: has dedicated repeat expansion testing been sent?

Leukodystrophy (MRI-selected, genetic suspected)

  • WES 50–72% — among the highest yields in all of neurogenetics
  • WGS 72–90%+ in dedicated programmes (Zerem et al. 2023: 89.6% with all modalities)
  • GWMD cohort: 72% overall, 77% for onset <3 yr, 85% for hypomyelination
  • MRI pattern recognition is the essential pre-test step — categorizing the white matter pattern (hypomyelination vs. demyelination vs. cystic vs. vacuolating) dramatically narrows the differential and raises yield; see the Hereditary Ataxias module for detailed ataxia clinical features

Key Points

  • Episodic ataxia: WES 20–35%; ion-channel point mutations; gene panel competitive for well-defined phenotype
  • Progressive ataxia: WES ceiling ~50%; most common hereditary ataxias (Friedreich, SCA, CANVAS) require dedicated repeat testing — NOT detected by WES
  • Leukodystrophy: WES 50–72%, WGS 72–90%+ — among the highest yields in clinical neurogenetics
  • MRI pattern recognition is the essential pre-test step for leukodystrophy — dramatically raises yield
  • After negative WES in ataxia, always ask: has dedicated repeat expansion testing been sent?

06Summary & Clinical Utility

Pooled Yields Across Pediatric NDD Cohorts

TestYieldKey Source
CMA~10%Clark 2018, n=20,068
WES~36%Clark 2018; Pandey 2025, n=24,631
WGS~41% (NSD vs. WES)Nurchis 2023 (OR 1.13, p=0.50)
rWGS (NICU)35–50%Maron JAMA 2023
All epilepsyCMA 9%, WES 24%, WGS 48%Sheidley Epilepsia 2022, n=39,094

Six take-home points

  • CMA is not obsolete — uniquely detects aneuploidy, large CNVs, UPD; complements WES at lower cost
  • Trio is essential for severe early-onset phenotypes — ~2× yield vs. singleton for de novo-enriched conditions
  • WGS > WES only in specific scenarios — post-WES-negative, leukodystrophies, atypical CP
  • Repeat expansions are a separate testing universe — Friedreich, SCA, CANVAS, DM1, HD, C9orf72 require dedicated testing
  • Yield is dynamic — reanalysis at 12–24 months yields new diagnoses in ~10–25% of unsolved cases
  • Leukodystrophy is the special case — MRI pattern recognition + WES/WGS yields 50–89%

Clinical utility ≠ diagnostic yield: A diagnosis changes management in 38–50% of NICU cases and enables precision therapy in 61.6% of genetically explained IESS. Examples: KCNQ2 → carbamazepine; GLUT1 → ketogenic diet; SLC6A1 → avoid vigabatrin; SCN1A → avoid sodium channel blockers.

Key Points

  • Pooled yields: CMA ~10%, WES ~36%, WGS ~41% — WGS not significantly different from WES overall
  • CMA remains first-tier in MCA, IESS, and ID; simultaneous CNV-seq + WES now standard at many centres
  • Trio is essential for severe early-onset phenotypes — ~2× yield for de novo-enriched conditions
  • Repeat expansions require dedicated testing — completely separate from WES/WGS
  • Reanalysis at 12–24 months yields new diagnoses in ~10–25% of unsolved cases — a negative WES is time-stamped, not permanent
  • Diagnosis changes management in 38–50% of NICU cases; enables precision therapy in 61.6% of genetically explained IESS

Quiz Questions

1. A 6-month-old with severe developmental delay, seizures, and no family history presents for genetic evaluation. Both parents are available for testing. Which testing strategy is best supported by current evidence?

  1. A.Single-gene testing for the most common epilepsy genes, then a gene panel if those return negative
  2. B.Chromosomal microarray alone — it is the only recommended first-tier test for neurodevelopmental disorders
  3. C.Trio exome or genome sequencing (proband + both parents) — approximately doubles yield for de novo conditions✓
  4. D.Sequential testing: CMA first, then gene panel, then exome — always proceeding stepwise to minimize cost

For severe early-onset neurodevelopmental phenotypes (DEE, GDD with seizures), trio sequencing is strongly supported by evidence. The key advantage is detecting de novo variants — spontaneous mutations present in the child but absent from both parents — which are the primary cause of many severe neurogenetic conditions. Meta-analysis shows trio sequencing approximately doubles yield compared to singleton testing (OR ~2.04). Trio analysis also enables phasing of compound heterozygous variants and parent-of-origin determination. While CMA remains valuable as a complementary test (detecting large CNVs, aneuploidy, UPD), it alone would miss the majority of diagnoses in this clinical context. Sequential testing delays diagnosis unnecessarily in severe early-onset presentations.

2. Two published studies report WES diagnostic yields for intellectual disability: Study A reports 45% yield, while Study B reports 20% yield. Both used trio WES with comparable bioinformatics. What is the most likely explanation for the difference?

  1. A.Study A must have used a more sensitive sequencing machine with deeper coverage across the exome
  2. B.Study A likely enrolled more severe and syndromic patients from a referral centre, while Study B enrolled a broader population✓
  3. C.Study B must have had technical problems with sequencing quality or bioinformatic variant calling
  4. D.The difference is statistically random and has no meaningful clinical or methodological explanation

Cohort selection is the single largest driver of yield variation across published genomic studies. Referral-centre or specialty-clinic cohorts are enriched for complex, treatment-resistant, or multi-system disease — these patients are more likely to have identifiable Mendelian conditions, driving yields of 40–60%+. Population-level or primary-care cohorts that include milder, less specific phenotypes yield 15–25% for the same test. Before citing any yield number, always ask: 'Who was in the denominator?' Other variables — severity, syndromic burden, younger age at onset, and comorbid epilepsy — all independently predict higher yield. Platform and bioinformatics differences exist but introduce smaller variations (5–10% relative).

3. A teenager with progressive ataxia and sensory neuropathy has whole exome sequencing that returns negative. Which critical next step should the clinician consider?

  1. A.Accept the WES as final — if no variant was found, a genetic cause is excluded in this patient
  2. B.Repeat the WES at a different laboratory with deeper coverage for a second opinion on variant calls
  3. C.Order dedicated repeat expansion testing (Friedreich ataxia, SCA, CANVAS)✓
  4. D.Proceed directly to whole genome sequencing

This is one of the most important 'testing blind spots' in clinical neurogenetics. The most common hereditary ataxias worldwide — Friedreich ataxia (FXN GAA repeat), spinocerebellar ataxias (SCA types with CAG repeats), and CANVAS (RFC1 AAGGG repeat) — are all caused by trinucleotide or pentanucleotide repeat expansions. Standard whole exome sequencing does NOT detect these expansions, and even standard short-read whole genome sequencing has variable sensitivity. Dedicated testing (repeat-primed PCR, Southern blot, or long-read sequencing) is required. This presentation — progressive ataxia with sensory neuropathy — is particularly suggestive of Friedreich ataxia or CANVAS. A negative WES in an ataxia patient should always prompt the question: 'Has dedicated repeat expansion testing been ordered?'

4. A colleague argues that chromosomal microarray (CMA) is obsolete now that whole exome sequencing is widely available. Which statement best counters this argument?

  1. A.CMA is indeed obsolete — WES detects everything CMA can detect plus SNVs, making CMA redundant
  2. B.CMA uniquely detects CNVs, aneuploidy, and (on SNP platforms) UPD and autozygosity — complementary to WES✓
  3. C.CMA should only be used when exome sequencing is unavailable or unaffordable at the testing centre
  4. D.CMA is only useful for prenatal testing and has no established role in postnatal neurogenetics

CMA is NOT obsolete — it provides information that WES does not. CMA detects copy number variants (CNVs) at higher resolution and sensitivity than WES-based CNV calling. Critically, SNP-array CMA detects uniparental disomy (UPD) and regions of autozygosity (AOH) — essential for diagnosing imprinting disorders (Angelman syndrome, Prader-Willi syndrome) and identifying consanguinity. CMA yields ~10% across broad NDD cohorts and is particularly productive in multiple congenital anomalies (15–25%), infantile spasms (14%), and ID. Many centres now run CMA + WES simultaneously rather than sequentially. While WES can detect some CNVs, its sensitivity for CNVs in segmental duplications and complex regions is lower than dedicated CMA.

5. Among the following pediatric neurogenetics phenotypes, which consistently shows the HIGHEST diagnostic yield from exome/genome sequencing?

  1. A.Isolated autism spectrum disorder without intellectual disability or epilepsy
  2. B.New-onset focal epilepsy in a child with otherwise normal development
  3. C.Leukodystrophy with a characteristic MRI pattern guiding genetic testing✓
  4. D.Mild global developmental delay presenting after age 3 without seizures

Leukodystrophy in MRI-selected cohorts achieves among the highest diagnostic yields in all of clinical neurogenetics: WES yields 50–72%, and dedicated WGS programmes report 72–90%+. The GWMD cohort (Neurology 2022, n=126) achieved 72% overall, 77% for onset <3 years, and 85% in the hypomyelination subgroup. The key reason: MRI pattern recognition dramatically narrows the differential diagnosis before sequencing begins. Categorizing the white matter abnormality (hypomyelination vs. demyelination vs. cystic vs. vacuolating) directs testing to the appropriate gene-disease context. By contrast, isolated ASD without ID has the lowest NDD yield (~10–15% WES), and mild GDD yields less than broad NDD cohorts. This illustrates a general principle: the more phenotypically specific and severe the presentation, the higher the diagnostic yield.

6. Rapid whole genome sequencing in NICU patients with unexplained encephalopathy has a diagnostic yield of 35–50%. Beyond identifying a diagnosis, what makes this one of the most impactful applications of genomic testing in pediatrics?

  1. A.The diagnoses are primarily useful for genetic counseling and family planning but rarely change acute management
  2. B.A molecular diagnosis changed clinical management in 38–50% of diagnosed NICU cases — the highest utility in pediatric genetics✓
  3. C.NICU testing is valuable mainly because it is faster than standard WES, even though the clinical impact is comparable to other settings
  4. D.Clinical utility is similar across all phenotypes — approximately 10% of diagnoses lead to management changes regardless of clinical setting

The NICU setting demonstrates the strongest evidence for clinical utility of genomic testing. Multiple studies, including the Maron et al. 2023 JAMA RCT, show that a molecular diagnosis changes clinical management in 38–50% of diagnosed neonatal cases. Management changes include: initiation of targeted therapy (e.g., ketogenic diet for GLUT1 deficiency, enzyme replacement for Pompe disease), avoidance of harmful medications, redirection of care when a devastating prognosis is confirmed, and surgical planning decisions. These are among the highest clinical utility figures in any medical context. Speed matters — rapid WGS (results in days rather than weeks) allows these management changes during the critical neonatal period. Approximately 18% of NICU admissions are estimated to carry a Mendelian disease, making this a high-impact target population.

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