A retrospective review of multiple findings in diagnostic exome sequencing: half are distinct and half are overlapping diagnoses

Abstract

Purpose

We evaluated clinical and genetic features enriched in patients with multiple Mendelian conditions to determine which patients are more likely to have multiple potentially relevant genetic findings (MPRF).

Methods

Results of the first 7698 patients who underwent exome sequencing at Ambry Genetics were reviewed. Clinical and genetic features were examined and degree of phenotypic overlap between the genetic diagnoses was evaluated.

Results

Among patients referred for exome sequencing, 2% had MPRF. MPRF were more common in patients from consanguineous families and patients with greater clinical complexity. The difference in average number of organ systems affected is small: 4.3 (multiple findings) vs. 3.9 (single finding) and may not be distinguished in clinic.

Conclusion

Patients with multiple genetic diagnoses had a slightly higher number of organ systems affected than patients with single genetic diagnoses, largely because the comorbid conditions affected overlapping organ systems. Exome testing may be beneficial for all cases with multiple organ systems affected. The identification of multiple relevant genetic findings in 2% of exome patients highlights the utility of a comprehensive molecular workup and updated interpretation of existing genomic data; a single definitive molecular diagnosis from analysis of a limited number of genes may not be the end of a diagnostic odyssey.

INTRODUCTION

Traditionally in clinical genetics, identifying the correct diagnosis in a patient requires abstracting from specific phenotypes to recognize a pattern of a Mendelian condition. Additional clinical features that do not fit into the pattern of this genetic etiology might be a phenotype expansion, but they may also indicate an additional diagnosis.^1,2 The clinical distinction between an expanded phenotype and comorbidity can be especially difficult when the phenotypes of the dual diagnoses interact to produce a more complex phenotype.

Since the completion of the Human Genome Project, rapid advances in technology such as diagnostic exome sequencing (DES) or genome sequencing have given medical professionals an extensive ability to interrogate their patients’ DNA. This ability to examine all genes in an unbiased manner can be very useful for providing the correct single or multiple diagnosis(es). If clinicians could identify which patients are more likely to have multiple Mendelian conditions, they might be able to prioritize DES testing over single-gene or panel testing for these patients. Thus we asked which clinical indications for testing are enriched in patients who receive multiple potentially relevant findings, and therefore would be more likely to benefit from DES. We also examined other characteristics such as inheritance patterns and asked if patients with more organ systems reported as affected were more likely to have multiple findings. We reviewed the results from the first seven years of DES at Ambry Genetics to clarify what types of patients tend to receive multiple diagnoses.

Previous studies have examined the influence of clinical complexity on diagnostic results: Trujillano et al. concluded that more clinically complex patients have a nonsignificant trend toward a higher rate of single positive findings.³ Karaca et al. found that many cases of presumed phenotypic expansion are actually patients with multiple Mendelian conditions.² Posey et al. used Human Phenotype Ontology (HPO) terms to determine the degree of phenotypic overlap of individual patients’ dual diagnoses.⁴ To our knowledge, however, this study is the first to compare clinical complexity between patients with single and multiple potentially relevant findings. The data suggest that more clinically complex patients have a slightly higher rate of multiple diagnoses but that additional diagnoses often have overlapping clinical features.

MATERIALS AND METHODS

The indications for testing and results of the first 7698 consecutive patients who underwent DES at Ambry Genetics were reviewed. Some of these patients have been reported previously.^5–8 Clinicians were encouraged to refer all first-degree relatives and other informative family members for testing. Solutions Institutional Review Board determined the study to be exempt from the Office for Human Research Protections Regulations for the Protection of Human Subjects (45 CFR 46) under category 4. Retrospective data analysis of anonymized data exempted the study from the requirement of receiving consent from patients. Patients’ clinical and testing histories, along with pedigrees, provided by referring physicians, were reviewed and summarized for each case by a team of genetic counselors at Ambry Genetics. The diagnostic alterations identified in the current study are/will be available in the ClinVar repository (https://www.ncbi.nlm.nih.gov/clinvar/).

In step 1, patients who had multiple potentially relevant findings (MPRF) were identified. For these patients, at least one relevant finding needs to be interpreted as a positive (Pos) or likely positive (LPos) result, i.e., pathogenic (P) or likely pathogenic (VLP) variants in a gene with good phenotypic match (biallelic P or VLP for recessive Mendelian conditions). Additional findings for step 1 had more relaxed criteria: the second finding could be either Pos, LPos, or uncertain, i.e., variants of uncertain significance (VUS); the gene could have an uncertain phenotypic match; or heterozygous P or VLP identified in a gene with highly specific clinical correlation and generally autosomal recessive inheritance. Variants were classified according to Ambry’s clinical variant classification scheme,^9,10 which incorporates the American College of Medical Genetics and Genomics (ACMG) variant classification recommendations.¹¹ Clinical indications for testing were examined in this group of 153 de-identified patients with MPRF. Organ system involvement was determined by clinician-submitted check boxes on the test requisition form; cases with zero selected were manually reviewed. In step 2, a subgroup of MPRF was identified: 33 patients had multiple genetic diagnoses (MGD), i.e., P/VLP findings in at least two genes with significant clinical correlation. The level of phenotypic overlap between the diagnoses was scored independently by five exome analysts. Finally, reclassifications were considered including proactive reclassification due to newly published gene–disease relationship information as described previously,⁸ reanalysis due to clinician request, and re-evaluation of variants. Variants are always fully re-evaluated if they are encountered in a new case or during case reanalysis, or systematically reassessed when there is better understanding of the mutational mechanism of a gene and/or release of new population databases. All reclassification reports received through the end of April 2018 were reviewed as part of this study. All discussed variants are considered primary findings related to clinical findings submitted with the exome sequencing order and are not considered secondary findings.

Statistical analysis

A chi-squared test was used for comparison between trios and nontrios of overall diagnostic rate, rates of MPRF and single genetic diagnosis (SGD), rates of uncertain findings, and rates of de novo findings. Chi-squared test was also used to compare rates of MPRF versus SGD by mode of inheritance (autosomal dominant [AD], autosomal recessive [AR], X-linked, mitochondrial), sex (male, female), consanguinity (declared, denied), and mode of inheritance within each sex. One-way analysis of variance (ANOVA) was used to compare average number of affected organ systems as in Fig. 3a, p < 0.0001, and Tukey post hoc is the p value reported in the results.

Fig. 3.

Relationship of clinical complexity to number of genetic diagnoses. (a) Patients with more organ systems affected received more genetic diagnoses. Shown is mean +/- s.e.m. (b) Histogram shows the diagnostic rate for patients with the number of organ systems indicated. Cases with 6–10 organ systems affected had the highest rate of single findings (22.5%) and of multiple potentially relevant findings (2.7%).

RESULTS

Among 7698 patients who underwent DES at Ambry Genetics, 1792 patients (23%, Fig. 1 and Supp Table 1) received at least one definitive genetic diagnosis, i.e., at least one variant that was either VLP or P in a gene with significant clinical correlation with a characterized Mendelian condition. A separate group of patients had an uncertain overall result: 15% (1160 patients) had a finding of uncertain significance in either a characterized or a novel candidate gene. Lastly, 62% (4746 patients) had a negative result. Within the cohort of patients who received at least one positive genetic diagnosis, 1639 patients had a SGD and 153 patients (8.5% of patients with positive reports) had MPRF. These patients with MPRF comprise the data set for step 1 and make up 2.0% of the total cohort of patients tested. Multiple potentially relevant findings were reported in two genes for 142 patients and three genes for 11 patients. In step 2, at least 2 definitive genetic diagnoses were identified in 33 patients within the group of MPRF, meaning that about 1.8% of patients with positive results actually had MGD.

Fig. 1.

Diagnostic rates of first 7698 cases submitted for diagnostic exome sequencing. Cases that simultaneously had two potentially relevant findings were included in the multiple potentially relevant findings (MPRF) group.

Step 1: clinical and genetic features of patients with multiple potentially relevant findings

Trios

Parent–proband trios are well established to have a higher diagnostic rate in DES than nontrios, a difference generally explained by a higher rate of uncertain findings among nontrios.^6,12–15 In this study, 25% (1382/5471) of trios received a genetic diagnosis compared with 18% of nontrios (410/2227, p < 0.00001). Of all diagnosed trios, 7.9% had MPRF while 92.1% had SGD. Diagnosed patients from nontrios had similar rates: 10.7% MPRF and 89.3% SGD (Fig. 2a, p = 0.086). We evaluated the proportion of MRPF that were uncertain findings in trios versus nontrios since a benefit of trio sequencing is the ability to rule out VUS that were inherited from unaffected parents.¹⁶ The rate of uncertain findings among trios with multiple findings (6.0%, 83/1382) was similar to that of nontrios with multiple findings (9.0%, 37/410, p = 0.28). Inherited findings were more common in cases with MPRF than with SGD. Of all AD findings reported in trios SGD had 11% inherited findings while MPRF had 34% inherited. This could be attributed to inclusion of uncertain findings in MPRF, as inherited findings are more likely to be VUS. However, inherited findings were also more common in cases with MGD than with SGD, which is a comparison of only likely positive and positive findings between groups (MGD had 32% inherited variants). This difference also remains when accounting for the reported affected status of parents: in the subset of trios with two unaffected parents (848 trios) there was also a significantly higher proportion of inherited AD findings in patients with MPRF than in SGD (p < 0.0001). These data show that second findings are more often inherited, even when both parents are reportedly unaffected.

Fig. 2.

Clinical features of cases that had multiple relevant findings. (a) The proportion of solved cases that had multiple potentially relevant findings was not significantly different between trios and nontrios. Both trios and nontrios had about 2% rate of multiple positive or likely positive results. Nontrios had a trend toward more uncertain second results, but this difference was not significant. (b) The origin of autosomal dominant (AD) findings in trios. Cases with multiple potentially relevant findings had a higher proportion of inherited variants than did cases with single findings. (c) Inheritance patterns of genetic diagnoses. (d) Males had a slightly higher proportion of multiple relevant findings than single findings, compared with females. (e) Cases from consanguineous families had significantly more multiple potentially relevant findings (MPRF) than those from nonconsanguineous families. AR autosomal recessive, LP likely pathogenic, MGD multiple genetic diagnoses, P pathogenic, XL X-linked.

Mode of inheritance

The distribution of inheritance patterns for patients with SGD was very similar to the distribution for patients with MPRF (Fig. 2c) and to all patients (data not shown). There was no significant difference in distribution of mode of inheritance of variants between patients that had SGD versus MPRF (Fig. 2c, p = 0.063).

Sex

The patient’s sex can affect diagnostic rate as X-hemizygosity in males can reveal X-linked molecular diagnoses and some neurodevelopmental Mendelian conditions are more penetrant or more severe in males.^17–19 In this cohort, 56% (4347) of patients were male. The percentage of solved cases who received MPRF was slightly but significantly different between males and females (Fig. 2d). Of patients with SGD, 55% were male while of patients with MPRF, 63% were male (p = 0.177). There was no significant difference in mode of inheritance between the sexes (p = 0.21).

Consanguinity

Fig. 2e shows the percent of reported findings in patients with MPRF. A family history of consanguinity was reported for 296 patients. Of all diagnosed patients from consanguineous families, 22% received MPRF. In contrast, only 8% of diagnosed patients from nonconsanguineous families had MPRF (p < 0.00001). For patients from consanguineous families, homozygous findings in genes associated with recessive Mendelian conditions were more common. They comprised 41% of all results for consanguineous families but only 23% of all results for nonconsanguineous families.

Organ systems

Patients with MPRF, similar to all patients undergoing testing, predominantly had childhood onset indications for testing, with neurologic, musculoskeletal, and craniofacial organ systems most commonly affected in order of decreasing frequency. Gastrointestinal and ophthalmologic clinical features were, respectively, fourth and fifth most common in the whole group but ended up as fifth and fourth most common in the cohort of patients with MPRF. Patients who received MPRF had complex clinical presentations involving an average of 4.3 organ systems per patient (n = 153). This was significantly different from the average of 3.9 organ systems per patient with a SGD (n = 1639, Fig. 3a mean +/- s.e.m., MPRF vs. SGD p < 0.05), and from the average 3.7 organ systems per patient with a negative result (n = 4746, MPRF vs. negative p < 0.01). Patients with a SGD also had more organ systems affected on average than patients with a negative result (SGD vs. negative p < 0.05). Visualized another way, MPRF were identified in 1.1% of patients with 1 reported organ system affected, 2.0% of patients with 2–5 organ systems affected, and 2.7% of patients with 6–10 organ systems affected (Fig. 3b).

Step 2: phenotypic overlap between multiple diagnoses

Organ system involvement

In step 2, the amount of phenotypic overlap between the diagnoses for 33 patients with MGD was evaluated (Table 1). For one patient (3%), the two relevant findings could explain the same symptom in the patient, icthyosis vulgaris. In 42% (14 patients), each diagnosis could be responsible for some unique clinical features, but there was sufficient symptom overlap that the molecular diagnoses appear intertwined. For 55% (18 patients), the diagnoses explained completely separate clinical features, suggesting the presence of two different Mendelian conditions in the same patient (see Supp Table 2 for information regarding the MPRF cohort).

Table 1.

Phenotypic overlap in patients with MGD

	Gene	Zygosity	Alteration(s) pathogenicity	Genetic diagnosis	Indication for testing
Completely overlapping
1	FLG	AD	P	Ichthyosis vulgaris, MIM 146700	Allergy/Immune/Infections; Derm; Pulmonary
	SLC27A4	AR	P/P	Ichthyosis prematurity syndrome, MIM 608649
Partially overlapping
4	DNA2	AD	P	Progressive external ophthalmoplegia, MIM 615156	Neuro
	POLG	AR	P/P	Mitochondrial recessive ataxia syndrome, MIM 607459
5	HNRNPU	AD	P (dn)	Early infantile epileptic encephalopathy, MIM 617391	Audiologic; Cardio; Craniofacial; Endocrine; MusSkel; Neuro
	SMC1A	XLR	VLP	Cornelia de Lange syndrome, MIM 300590
6	FOXG1	AD	P (dn)	Rett syndrome, MIM 613454	GI; Neuro; Pulmonary
	KAT6B	AD	P (dn)	SBBYSS syndrome, MIM 603736
7a	ETFDH	AR	P (homoz)	Glutaric acidemia, MIM 231680	MusSkel
	HEXA	AR	VLP (homoz)	Tay–Sachs disease, MIM 272800
8	CYP21A2	AR	P/P	Congenital adrenal hyperplasia, MIM 201910	Endocrine; Neuro
	PTEN	AD	VLP	Macrocephaly/autism syndrome, MIM 605309
	SCN8A	AD	P (dn)	Intellectual developmental disorder, MIM 614306
13	PTEN	AD	VLP (dn)	Macrocephaly/autism syndrome, MIM 605309	GI; GU; MusSkel; Neuro
	ANKRD11	AD	P	KBG syndrome, MIM 148050
14	SATB2	AD	P (dn)	Glass syndrome, MIM 612323	Cardio; Craniofacial; Neuro; Ophthalmologic
	CAMTA1	AD	VLP	Cerebellar ataxia with intellectual disability, MIM 614756
15	PDE6A	AR	P (homoz)	Retinitis pigmentosa, MIM 613810	MusSkel; Neuro; Ophthalmalogic
	SH3TC2	AR	P (homoz)	Charcot–Marie–Tooth, MIM 601596
	SLC26A2	AR	P (homoz)	Multiple epiphyseal dysplasia, MIM 226900
17	SLC6A1	AD	P	Myoclonic–atonic epilepsy, MIM 616421	Neuro; Ophthalmalogic
	TCF20	AD	P	Neurodevelopmental abnormalities MIM 603107
21	PTEN	AD	VLP (dn)	Macrocephaly/autism syndrome, MIM 605309	Cardio; Craniofacial; MusSkel; Neuro; Pulmonary
	SON	AD	P (dn)	ZTTK syndrome, MIM 617140
24	CLTC	AD	P (dn)	Intellectual developmental disorder 56, MIM 617854	Craniofacial; Hematologic; Metabolic
	DNMT3A	AD	P (dn)	Tatton–Brown–Rahman syndrome, MIM 615879
26	NLGN3	XLR	P	NLGN3 neurodevelopmental disorder, gene MIM 300336	Craniofacial; Derm; Neuro
	CAMK2B	AD	VLP (dn)	Intellectual developmental disorder 54, MIM 617799
27	DNMT3A	AD	P (dn)	Tatton–Brown–Rahman syndrome, MIM 615879	Craniofacial; Derm; Endocrine; MusSkel; Neuro; Oncologic; Ophthalmalogic
	ATP1A2	AD	VLP (dn)	Familial hemiplegic migraine 2, MIM 602481
32	ARSA	AR	P/P	Metachromatic leukodystrophy, MIM 250100	Cardio; Craniofacial; GI; Neuro
	KMT2D	AD	P (dn)	Kabuki syndrome 1, MIM 147920
Completely separate
2	PKD1	AD	P	Polycystic kidney disease, MIM 173900	Allergy/Immune/Infections; Derm; GI; Neuro; Ophthalmologic; Renal
	ANK2	AD	P (dn)	ANK2 -related autism (no MIM number)
3	ANO3	AD	VLP (dn)	Dystonia, MIM 615034	GI; Neuro; Ophthalmologic
	NALCN	AR	P/P	Hypotonia, psychomotor retardation, MIM 615419
9	WDR45	XLD	P (dn)	Neurodegeneration with brain iron accumulation, MIM 300894	Cardio; Craniofacial; Neuro; Ophthalmologic
	NOTCH1	AD	P	Aortic valve disease MIM 109730
10	ANKRD11	AD	P (dn)	KBG syndrome, MIM 148050	Craniofacial; GI; MusSkel; Neuro
	GAA	AR	P/P	Glycogen storage disease II, MIM 232300
11	CRB1	AR	P/P	Retinitis pigmentosa-12, MIM 600105	Dental; Ophthalmologic
	WDR72	AR	P (homoz)	Amelogenesis imperfecta, type IIA3, MIM 613211
12a	DDX11	AR	P (homoz)	Warsaw breakage syndrome, MIM 613398	Audiologic; Craniofacial; Hematologic; Derm; MusSkel; Neuro
	ITK	AR	P (homoz)	Lymphoproliferative syndrome 1, MIM 613011
16	LRP5	AR	P/P	Exudative vitreoretinopathy, MIM 601813	Cardio; GI; Metabolic; MusSkel; Neuro; Renal
	MT-ND5	Mito	P	Leigh syndrome, MIM 256000
18	ATRX	XLR	P	ɑ-thalassemia/intellectual disability syndrome, MIM 301040	Craniofacial; GI; GU; Neuro, Ophthalmalogic
	G6PD	XLR	P	Hemolytic anemia, G6PD deficient (favism), MIM 300908
19	INSL3	AD	VLP	Cryptorchidism, MIM 219050	Cardio; Craniofacial; GI; GU; MusSkel; Neuro; Ophthalmalogic
	ZSWIM6	AD	P	Frontonasal dysostosis, MIM 603671
20	ADNP	AD	VLP (dn)	Helsmoortel–van der Aa syndrome, MIM 615873	Neuro; Renal
	PKD1	AD	P	Polycystic kidney disease, MIM 173900
22a	CYP21A2	AR	P (homoz)	Congenital adrenal hyperplasia, MIM 201910	Childhood onset: GU; Endocrine; MusSkel Adult onset: Derm; Endocrine; GI; MusSkel; Neuro; Oncologic; Ophthalmalogic
	SPAST	AD	VLP	Spastic paraplegia, MIM 182601
23	PPM1D	AD	P (dn)	Intellectual developmental disorder, MIM 617450	Audiologic; Craniofacial; Dental; Derm; GI; Metabolic; MusSkel; Neuro
	WNT10A	AD	P	Tooth agenesis, selective, MIM 150400
25a	GNB5	AR	P (homoz)	Neurodevelopmental disorder, cardiac arrhythmia, MIM 617173	Cardio; Pulmonary
	LRRC6	AR	P (homoz)	Primary ciliary dyskinesia 19, MIM 614935
28	PPM1D	AD	VLP (dn)	Intellectual developmental disorder, MIM 617450	Audiologic; Cardio; Craniofacial; Endocrine; GI; GU; MusSkel; Neuro; Ophthalmalogic; Renal
	ELN	AD	P	Supravalvar aortic stenosis, MIM 185500
29	HBB	AR	P/P	Sickle cell anemia, MIM 603903	Cardio; Craniofacial; Hematologic; MusSkel; Neuro; Ophthalmalogic
	FOXP1	AD	P	Intellectual developmental disorder, MIM 613670
30a	CFTR	AR	P/P	Cystic fibrosis, MIM 219700	Cardio; MusSkel; Neuro; Ophthalmalogic; Pulmonary
	CNTNAP2	AR	P (homoz)	CNTNAP2 neurodevelopmental disorder, MIM 610042
31	CHD7	AD	P	CHARGE syndrome, MIM 214800	Derm; MusSkel; Neuro; Ophthalmalogic
	NF1	AD	P	Neurofibromatosis type 1, MIM 162200
33a	TYR	AR	P (homoz)	Oculocutaneous albinism type IA, MIM 203100	Cardio; Craniofacial; Derm; GI; Neuro; Ophthalmalogic
	VPS13B	AR	P (homoz)	Cohen syndrome, MIM 216550

For the group of patients with multiple genetic diagnoses (MGD), the phenotypic overlap, or degree that multiple diagnoses could explain the same symptoms in a proband, was scored by exome analysts. Genetic diagnoses that affect only one organ system in that patient at the time of diagnosis are in bold. All indications for testing are childhood onset unless otherwise noted.

AD autosomal dominant, AR autosomal recessive, Derm dermatologic, dn de novo, GI gastrointestinal, GU genitourinary, homoz homozygous, MusSkel musculoskeletal, P pathogenic variant, VLP variant likely pathogenic.

^aFamilies who reported consanguinity closer than second cousins.

Copy-number variants

Copy-number variants (CNVs) were not clinically validated for the exome analysis pipeline used here. Therefore, the data presented in this study specifically reflect the detection rate of DES for single-nucleotide substitutions and small indels. To estimate the number of patients with multiple diagnoses including CNVs, testing results were added from orthogonal methods such as karyotype (n = 88) or microarray (n = 1066), either performed at Ambry or recorded in the clinic notes. A total of 44 patients had CNVs that were considered pathogenic or likely pathogenic in addition to a Pos/LPos finding from DES (Supplemental Table 1). In total, 195 patients (2.5% of the whole cohort) had multiple potentially relevant findings including CNVs. This calculation is likely to underestimate the true percentage of patients with dual genetic diagnoses because not all patients included in the study had karyotype or microarray and many patients who are found to have a clinically relevant CNV do not proceed to DES.

Reclassifications

Each molecular diagnosis is based on current knowledge of the patient’s clinical features and the known condition characteristics at the time of reporting. Therefore updated clinical information and new literature that affects variant or gene characterization can lead to result reclassification. All reclassification reports issued to MPRF patients were reviewed, including some with multiple simultaneous changes to results, e.g., one finding was added and another was removed in the same report. More than half (15/24) of patients who received reclassification reports had a new genetic diagnosis: 9 due to discovery of a new genetic etiologies (ZBTB18, DDX3X, GNAO1, BPTF, NACC1, SIN3A, KMT2B, GNB5, CAMK2B), 5 due to new clinical information (ATP7B, HADHA, PAX9*, CLCN1*, BASP1; *denotes same patient), 1 due to finding an allelic de novo variant in the same novel gene in a subsequent internal patient (NR2F1), and 1 due to discovery that the presence of significant numbers of heterozygotes in healthy controls in gnomAD was actually of somatic origin in DNMT3A (discussed in Carlston et al.)²⁰ Five were upgrades from an uncertain to a positive overall result: four due to characterization of a candidate gene (MTOR, ETV6, HNRNPK, TRAK1), and one due to RNA studies establishing pathogenicity of an alteration (ADNP). One quarter of the reclassification reports (6/24) downgraded an uncertain potential relevant finding to negative, removing an initial result: in one patient the clinical validity of the gene SRI was refuted. Additionally, for about 3.8% (6/159) of patients who initially had MPRF, it was possible to rule out at least one initial finding with updated clinical information (OPHN1, MIB1), the release of bigger control population databases with better representation of rare ethnic groups (TTN and ASPM), and family segregation data (ALG13).

Case example

Detection of MPRF in a proband may have implications for the rest of the family because these Mendelian conditions are expected to segregate independently. For example, a deceased 3-month-old girl was reported to have global developmental delay, dysmorphic features, hypotonia with slight flexion contractures of the elbows, bilateral complete retinal detachment consistent with persistent fetal vasculature, coronary artery fistula, and cardiomyopathy, which was considered the cause of death. A head ultrasound revealed a dysplastic corpus callosum and colpocephaly. She had 11 pairs of ribs, a handlebar shaped clavicle, dysphagia, growth retardation, and microcephaly. DES was performed as previously described.⁵ Both the patient and her partially affected sister were found to harbor compound heterozygous alterations in the gene LRP5 (gene MIM 603506): a paternally inherited pathogenic variant c.2718_2721DELTATG (p.M907TFS*52), and a maternally inherited likely pathogenic variant c.1709G>A (p.R570Q). LRP5 is associated with familial exudative vitreoretinopathy (FEVR) and with various forms of osteopetrosis. These alterations could explain the retinal detachment, but would leave unexplained the patient’s skeletal dysplasia, hypotonia, cardiomyopathy, renal abnormalities, elevated BUN/creatinine ratio, and dysmorphic features. Mitochondrial sequencing revealed a pathogenic alteration m.13513G>A p.D393N in mitochondrial gene ND5 (MT-ND5, MIM 516005), with a heteroplasmy level of about 72% in blood. This variant is of maternal origin and the mother apparently has a low variant load (~6% in blood and saliva). This second diagnosis of Leigh disease can explain most of the proband’s growth retardation and neurodevelopmental features, but skeletal dysplasia is still unexplained by this diagnosis.

For the family of this proband, obtaining two separate diagnoses was particularly important. The proband’s sister also has exudative vitreoretinopathy, Chiari malformation, and was described as clumsy. The sister harbored the compound heterozygous LRP5 variants but the ND5 alteration was not detected in buccal swab or blood, suggesting a better prognosis than the proband’s. In addition, a brother was identified with 23% heteroplasmy on buccal swab and 27% on blood.

DISCUSSION

Our results show that DES can identify multiple genetic diagnoses in many patients, as 2.1% of the whole cohort and 8.9% of solved cases had MPRF (Fig. 1). Including CNVs detected by orthogonal methods, 2.6% of cases submitted for DES have more than one molecular diagnosis, which is comparable with the 1.6% in Yang et al.,¹⁵ 4.0% in Yavarna et al.,²¹ 0.92% reported in Retterer et al.,²² 1.0% in Balci et al.,²³ and 1.4% reported in Posey et al.⁴ The ability to compare rates between laboratories is hindered by slightly different protocols for variant evaluation, reporting criteria, and potentially different rates of reclassifications. Despite these limitations, most studies have consistently reported a small proportion of patients with multiple Mendelian conditions.

Patients who underwent trio exome analysis did not have a significantly different rate of MPRF than patients submitted without an informative trio (Fig. 2a). Trio sequencing allows prioritization of de novo variants and relevant heterozygous alterations in trios with a SGD were overwhelmingly de novo (89%) rather than inherited (11%, Fig. 2b). Interestingly, trios with MPRF had a higher proportion of inherited variants (66% de novo, 34% inherited) and trios with MGD had a similar proportion of inherited variants (68% de novo, 32% inherited). Stated another way, second findings were more often inherited than single findings. This may be because Mendelian conditions due to inherited variants may be milder than conditions due to de novo variants,²⁴ and families with milder phenotypic presentations may not be recommended for DES until a second, more severe condition arises in the proband. One prediction from these data is that trios including partially affected family members may receive multiple results: one that explains the inherited phenotype and a separate result that explains the clinical features unique to the proband. Surprisingly this pattern remained even when analysis was limited to trios with two reportedly healthy unaffected parents. Inherited findings from parents who were marked as unaffected were Mendelian conditions associated with variable expressivity (e.g., PTEN, RYR1), reduced penetrance (e.g., CACNA1A, CAMTA1), and imprinting (e.g., KCNK9). In a few cases, the parent had a Mendelian condition (e.g., PKD1, NOTCH1) that was considered irrelevant to the indication for testing in the proband so the parent was marked as unaffected (for the neurodevelopmental disorder).

No mode of inheritance was significantly enriched in patients with MPRF compared with patients with SGD (Fig. 2c), but males had a slightly higher proportion of MPRF than females (Fig. 2d). It was initially suspected that males may have a higher rate of MPRF due to X-hemizygosity, but surprisingly no mode of inheritance was enriched in either sex. A family history of consanguinity correlated most strongly with having MPRF (Fig. 2e) in agreement with other reports.^4,21–23 As expected, homozygous findings in genes associated with recessive molecular diagnoses were enriched in patients from consanguineous families. Additionally, patients from consanguineous families still have a risk of Mendelian conditions due to de novo variants.^22,25 This higher rate of MPRF suggests that pretest counseling for families with a history of consanguinity should optimally include disclosures that multiple molecular diagnoses may be found.

A previous exome cohort study suggested that patients with more clinical features are more likely to have multiple Mendelian conditions but it did not find a significant difference between groups.¹ In the present cohort, patients with more clinically complex phenotypic presentation had a slightly higher proportion of MPRF (Fig. 3a). Although there was a statistically significant difference between the number of organ systems affected in each group of patients, an average difference of 0.5 organ systems affected between patients with MPRF and SGD may not be clinically significant. As most patients referred for DES have clinically complex presentations, those found to have MPRF may appear in clinic to be similarly affected as patients with SGD. Clinically complex patients are also more likely to have any positive result, with the highest diagnostic rates of both SGD (22.5%) and of MPRF (2.7%) in the group of patients with 6–10 organ systems affected (Fig. 3b). These trends also suggest that thorough patient phenotyping and communication with the diagnostic laboratory increase the chance of diagnosing patients through DES. Further, clinicians are likely to stop testing once a single diagnosis is obtained on panel and or single-gene testing, potentially resulting in missed diagnoses. DES is uniquely positioned to pick up multiple diagnoses and is therefore a good first-tier strategy for helping these patients.

How can patients with multiple molecular conditions have an average number of affected organ systems so similar (i.e., 4.4 vs. 3.9 organ systems affected) to patients with only one Mendelian condition? One possibility is that the two Mendelian conditions affect the same organ systems, causing overlapping clinical features. Partial overlap of phenotypes from multiple Mendelian conditions can appear to be a phenotype expansion of a single condition or it can indicate the presence of multiple Mendelian conditions.² In organs affected by multiple Mendelian conditions, the molecular pathways may interact to produce an oligogenic phenotype. In the present cohort, about half of the patients who received multiple diagnoses had some clinical features that could be explained by either diagnosis, suggesting that the comorbid conditions cause overlapping phenotypes. Additionally many of the nonoverlapping diagnoses presented in only one organ system in the proband at the time of diagnosis, such as PKD1 (renal), ANK2 (neurological), NOTCH1 (cardiovascular), LRP5 (ophthalmologic), INSL3 (genitourinary), WNT10A and WDR72 (dental), ELN (cardiovascular), HBB (hematologic), CFTR (pulmonary), NF1 (dermatologic), and TYR (dermatologic). Therefore additional conditions do not double the number of organ systems involved for two reasons: both conditions affect the same organ system, and at least one condition affects only one organ system.

New information about gene–disease relationships is published continuously, so reanalyzing previous patients can help identify new diagnoses and can increase diagnostic yield.^8,26 On the other hand, better defining the phenotypic spectrum of a specific Mendelian condition can allow elimination of a competing diagnosis. We reviewed reclassification reports to determine both how often new diagnoses were added to previous findings and how often initial diagnoses were ruled out. Because fewer than 4% of reclassification reports for MPRF patients removed a previous diagnosis, it appears that the majority of the time (more than 96%) MPRF likely reflect true coexisting Mendelian conditions in the proband. In a similar vein, a patient’s phenotypic presentation may diverge from the course expected for the initial genetic diagnosis and indicate an additional Mendelian condition in the patient, as recently reported.²⁷ Emergence of new clinical features is an excellent time to reanalyze previous exome data, whether the patient already has a diagnosis or not. This may lead to identification of an (additional) genetic diagnosis that was initially ruled out as clinically irrelevant.

The ability to simultaneously identify multiple genetic etiologies in a single patient dramatically demonstrates the utility of diagnostic exome sequencing. Detection of multiple competing relevant findings may require discussion between the diagnostic laboratory and the clinic to determine if one diagnosis fits better than the other, or if the patient in fact has multiple conditions. It is likely that the presence of multiple Mendelian conditions in a single patient may have implications in the clinic. For instance, a patient with oligogenic traits may respond differently to a treatment and therefore might require additional check-ins. Still unanswered is whether multiple Mendelian conditions that affect the same organ systems can have an additive effect on symptom severity. For instance, do patients with pathogenic alterations in multiple genes in the same pathway have more severe phenotype than patients with a single alteration in that pathway, as was suggested by Bayram et al.?²⁸ How often might blended phenotypes from multiple Mendelian conditions mask a true diagnosis? Answering these questions will require collaboration on a large scale and quantification of symptom severity, but may reveal whether specific clinical presentations are truly oligogenic. Finally, the data suggest that a diagnosis that explains only some of the patient’s clinical features might actually be only a portion of the diagnostic answer.

Disclosure

E.D.S., K.R., K.B., S.A.S., J.M.H., D.N.S., B.W., M.R., J.H., W.A., K.D.F.H. and S.T. are full-time, salaried employees of Ambry Genetics. Diagnostic exome sequencing is one of the publicly available tests offered by Ambry Genetics. The other authors declare no conflicts of interest.

Supplementary information

The online version of this article (10.1038/s41436-019-0477-2) contains supplementary material, which is available to authorized users.