# 13 - 505 Novel Approaches to Diseases of Unknown Etiology

## 505 Novel Approaches to Diseases of Unknown Etiology

Levine B, Kroemer G: Biological functions of autophagy genes: A 
disease perspective. Cell 176:11, 2019.
Mallucci GR et al: Developing therapies for neurodegenerative disor­
ders: Insights from protein aggregation and cellular stress responses. 
Annu Rev Cell Dev Biol 36:165, 2020.
Song J et al: Quality control of the mitochondrial proteome. Nat Rev 
Mol Cell Biol 22:54, 2021.
David R. Adams, Camilo Toro, Joseph Loscalzo

Novel Approaches to 

Diseases of Unknown 

Etiology
THE UNDIAGNOSED DISEASE STATE
The term disease, etymologically meaning “lack of ease” or the presence 
of discomfort, is defined as an abnormal state that negatively affects the 
structure or function of all or part of an organism and that is not due to 
any immediate external injury. When referring to a person experienc­
ing a disease, the word patient is used in its original, meaning “the one 
who endures suffering.” These terms are well suited to patients with 
undiagnosed diseases. A patient with an undiagnosed disease is one 
for whom a medical diagnosis is not discerned after reasonable efforts 
utilizing established methods and procedures. Multiple factors may 
contribute to a failure to reach a diagnosis (Table 505-1). Patients who 
are affected by an undiagnosed disease for a protracted period exist in 
an undiagnosed state, which presents characteristic challenges for the 
patients, their families, and their medical providers.
■
■THE MEANING AND CONTEXT OF A DIAGNOSIS
A diagnosis often entails hierarchical levels of information specific­
ity with varying levels of relevance to the users (consumers) of such 
information (e.g.) patients and their families, health care providers, 
government health care agencies, insurers, epidemiologists, genetic 
counselors, pharmacologists, biologists). As an example, a diagnosis 
of Parkinson’s disease in an adult is based on the progressive emer­
gence of signs and symptoms of bradykinesia, rigidity, asymmetric rest 
tremor, and postural instability (clinical diagnosis), which are typically 
responsive to the administration of L-dopa (a therapeutic response 
biomarker). Together, these are cardinal features of striatonigral degen­
eration (a mechanistic diagnosis), a process associated with neuronal 
α-synuclein deposition and Lewy body pathology (histopathologic 
diagnosis) often based on a genetic susceptibility conferred by muta­
tions in genes such as synuclein (SYNCA, a molecular diagnosis) and 
likely influenced by environmental exposures (e.g., manganese or other 
neurotoxins).
With ongoing advances in medical science and technology, the 
standard for what constitutes a reasonable diagnosis continues to 
evolve toward higher levels of specificity. For example, the utility of an 
antisense oligonucleotide therapy may be restricted to a specific subset 
of mutations associated with a given, monogenic, heritable disease. 
Efforts to adopt the principles of precision medicine include a growing 
emphasis on the context of disease within the genomic landscape, envi­
ronment, social factors, medical history, nutrition, and the microbiome 
of any given individual. Examples include cancer susceptibility, geneti­
cally determined idiosyncratic reactions to medications, and unique 
pathogen susceptibilities in patients with certain immune deficiencies.
■
■UNDIAGNOSED RARE DISEASES
Most chronically undiagnosed diseases are rare. While individual rare 
diseases have a low prevalence, they are numerous in aggregate. It is 

TABLE 505-1  Factors Contributing to the Presence of an 

Undiagnosed Disease
FACTOR
EXAMPLE
Misleading information
False-negative and false-positive test results
Rare disorder
Many inherited disorders have only been 
identified in a few individuals. For example, 
sialuria, a well-understood disorder of sialic acid 
metabolism, has been reported in 10 individuals 
(OMIM 269921).
Unusual causes of common 
diseases, including atypical 
course of illness
Insulin-dependent diabetes mellitus may be 
the presenting feature for the relatively rare 
autoimmune polyendocrinopathy syndrome, type 
I (OMIM 240300).
Presence of multiple 
disorders (blended 
phenotypes)
For an example, see PubMed ID 24863970.
Lack of characteristic 
symptoms of known disease
Diseases are commonly ascertained via 
cardinal signs or symptoms leading to 
incomplete ascertainment of all possible disease 
presentations. For instance, not all persons with 
Marfan’s syndrome are tall relative to other family 
members. For progressive diseases, pathognomic 
signs and symptoms may be missing in early 
stages of disease.
New disease
No prior knowledge or record of such disease
Incorrect affected status 
assignments in family history
A heritable disorder may be inappropriately 
excluded if family history information is incorrect.
Primary disease 
manifestations obscured by 
other factors
Maladaptive behavior, medication effects, and 
secondary disease manifestations may obscure 
signs and symptoms of a primary disorder.
CHAPTER 505
Disease not expected in 
region or population
Cystic fibrosis in persons of African ancestry, 
sickle cell disease in persons of northern 
European ancestry; infectious agents with 
marked geographical incidence patterns
Diseases thought to be 
eradicated
Poliomyelitis
Novel Approaches to Diseases of Unknown Etiology  
Diseases occurring in 
unexpected time of life
Parkinson’s disease in children, lysosomal 
storage disease in adults
Malingering
Feigned disease features intended to achieve 
secondary gain (Munchausen syndrome)
Rare disease mechanisms
Transmitted or sporadic prion disease, unusual 
zoonotic diseases
Abbreviation: OMIM, Online Mendelian Inheritance in Man.
estimated that >6000 rare diseases affect millions of people throughout 
the world. Estimates of aggregate population prevalence range from 
6 to 10%. Many rare diseases have a genetic basis and onset in child­
hood. As the cloud of uncertainty inherent in the undiagnosed disease 
state is removed, new disease-specific counseling, therapies, resources, 
community engagement, and advocacy opportunities become possible.
■
■THE EFFECT OF THE UNDIAGNOSED 

DISEASE STATE ON THE PATIENT
Patients with an undiagnosed disease are frequently driven to under­
stand the basic nature of their ailment (what, when, where, how, etc.). 
Individuals, families, physicians, and society, however, might have a 
wide range of tolerance to the uncertainties associated with the undi­
agnosed disease state. Being undiagnosed has profound detrimental 
effects. Patients can go undiagnosed for decades, leading to personal 
and family uncertainty, high levels of stress, decreased productiv­
ity, limited accessibility to disease-specific counseling and resources, 
decreased quality of life, and excess utilization of medical services.
APPROACH TO CHALLENGING DISEASES 
OF UNKNOWN ETIOLOGY
Approaches to a patient with an undiagnosed disease can be separated 
into two categories. The first is a new assessment by a consultant, new 
provider, or diagnostic referral center. The second is periodic reassess­
ment by an existing provider for a patient who remains undiagnosed.

TABLE 505-2  Essential Records for Undiagnosed Disease Patients
1.	 Any narrative summaries that detail the course of the illness
2.	 Copies of original test results with names, dates, testing circumstances, 
normal ranges, and test facility information
3.	 Electronic copies of imaging studies
4.	 Consultation notes
5.	 Hospitalization intake and discharge summaries
6.	 Accurate family history accounts and family relations
Optional but potentially useful records include:
1.	 Photographs and/or videos of disease manifestations
2.	 Longitudinal data (growth charts, symptom logs, serial lab measurements)
3.	 Data or specimens that could be reanalyzed, including pathology specimens 
and genomic sequencing of raw data
■
■COMPREHENSIVE DATA COLLECTION
A potentially time-consuming but critical initial step is the gathering 
of all available medical data. Essential records are listed in Table 505-2.
The overall goal of data collection is a full understanding of the 
course of the disease and a verification of critical data elements used 
for diagnostic decision-making. Incorrect or partial second-hand 
accounts of prior test results contribute substantively to incorrect or 
missed diagnoses.
Analysis of the collected data allows for reconstruction of the 
process by which previous disease presentation, diagnostic thought 
processes, and test interpretation led to the current understanding of a 
patient’s illness. Unintentional obfuscation of the history and findings 
can result from missing records, incomplete recall by the patient and 
fragmentation, and propagation of information (and misinformation) 
in the medical record. Optimally, the presence and character of key 
features of the illness will be reinforced by perspectives derived from 
multiple evaluations.
PART 20
Emerging Topics in Clinical Medicine
■
■VALIDATION OF SUBJECTIVE AND 

OBJECTIVE FINDINGS
Teasing apart the layers of a patient’s presentation often uncovers a 
variety of adaptive (and maladaptive) coping strategies. Some are 
idiosyncratic to the disease state (e.g., sun avoidance in a patient with 
xeroderma pigmentosum), whereas others are driven by psychoso­
cial factors and could become primary drivers of the phenotype. It is 
important to consider, however, that patients believed to have “functional” 
or “somatoform” disorders may have unrecognized underlying ill­
nesses, e.g., nonepileptic events (pseudo-seizures), frequently have 
concurrent bona fide epileptic events. Careful consideration of clinical 
phenomenology and associated findings on physical examination and 
ancillary investigations may provide clarity, affirmation, and effective 
redirection. Distinct clinical, radiographic, and laboratory abnormali­
ties provide entry points to the generation of a differential diagnosis 
and could become effective biomarkers of disease progression and 
response to interventions.
Testing Strategies and New Technology 
The historical exclu­
sion of a diagnostic hypothesis may be based on testing that is no lon­
ger state of the art. For example, congenital disorders of glycosylation 
(CDG) were historically diagnosed using transferrin isoelectric focus­
ing. It was subsequently found that the diagnosis of many CDG types 
required mass spectrometric and molecular approaches. The initial 
assessment of a patient with an undiagnosed disease should include 
a reassessment of the diagnostic logic and data used in past decisionmaking. In the absence of concrete diagnostic leads, the use of broad 
scope screening tools may prove beneficial in generating meaningful 
diagnostic hypotheses (Table 505-3). In some cases, newer testing 
options may be difficult to obtain and/or be costly. Prior probability of 
disease and available resources will factor in determining whether new 
diagnostic testing is practical.
Molecular Approaches, Including Genomics 
The availability 
and variety of clinical molecular modalities have transformed diag­
nostic testing in many settings. These advances have arisen from both 

TABLE 505-3  Clinically Available Tests with Notable Utility for 
Undiagnosed Cases
TEST
TARGET PHENOTYPES
RATIONALE
Single nucleotide 
polymorphism microarray 
and/or karyotype
Dysmorphic features, 
cognitive impairment, 
neurodevelopmental 
disorders
Genomic structure 
abnormalities may be 
missed by other testing
Exome or genome 
sequencing
Any undiagnosed disease 
that is chronic and not 
clearly acquired
Tests a broad range of 
potentially unconsidered 
diagnostic entities
Lysosomal storage 
diseases (LSDs), 
molecular or enzymatic 
tests. urine organic 
acids, urinary 
glycosaminoglycans 
(GAGs), oxysterols
Progressive neurologic 
disorders, psychiatric 
disorders
Some LSDs have 
nonspecific 
presentations, and adultonset cases are often 
missed
Congenital disorders 
of glycosylation, Apo 
CIII and N-glycan mass 
spectrometry
Pediatric-onset 
disorders, cognitive 
impairment, neurologic 
phenotypes
Large group of disorders; 
phenotypes for many still 
being characterized
Biochemical disorders, 
ammonia, serum polyols, 
urine purines and 
pyrimidines, plasma 
amino acids, very-longchain fatty acids
Neurologic phenotypes, 
especially with waxing 
and waning course, 
selective speech 
involvement, or patients 
with unusual selfselected diets
Metabolic disorders 
may have nonspecific 
symptoms, and adultonset cases are often 
missed
Mitochondrial 
sequencing and 
mitochondrial depletion 
studies; biochemical 
screening with serum 
lactate, blood pyruvate, 
plasma amino acids, and 
GDF-15
Complex multisystem 
disorders with 
neurometabolic, 
endocrine, and 
gastrointestinal 
symptoms, muscle 
dysfunction, and 
waxing and waning or 
progressive course
Large group of disorders 
with a wide range of 
presentations; yield is 
improved by studies in 
affected tissue (e.g., liver 
or muscle)
Cerebrospinal fluid 
(CSF) studies including 
amino acids (AAs), 
lactate, pterins, 
methyltetrahydrofolate 
(MTHF), or special CSF 
flow studies
Synthetic 
neurotransmitter 
defects in patients with 
unexplained fluctuating 
encephalopathy/
movement disorders or 
patients with atypical 
neuroinflammatory 
syndromes
Patterns of profiles 
point to particular 
enzymatic deficits 
in neurotransmitter 
synthesis or 
characterization of 
unique immunologic 
profiles of inflammatory 
central nervous system 
diseases
testing scope, such as exome-wide, genome-wide, and transcriptome 
(RNA sequencing [RNA-Seq]) sequencing, and new medical knowl­
edge, such as new disease-gene associations and molecular interaction 
networking (network medicine). Complementary screening tools, 
such as metabolomics, show diagnostic promise, particularly when 
combined with sequencing data to generate a fuller picture of disease 
manifestations. Simultaneous consideration of multiple data types can 
provide a means of appreciating overlapping and reinforcing evidence, 
with the potential to inform both hypothesis-driven and agnostic 
approaches to diagnosis.
HYPOTHESIS-DRIVEN MOLECULAR TESTING  Hypothesis-driven test­
ing implies that a defined set of heritable (or potentially heritable) dis­
orders is the principal impetus for testing. Selection of a targeted gene 
sequencing panel, ideally augmented with structural variant detection, 
may allow for improved sensitivity, lower cost, and fewer unrelated 
(secondary) findings relative to full exome or genome sequencing stud­
ies. In the setting of an initial undiagnosed disease evaluation, prior 
sequencing panels may not include recently discovered genes. Testing 
with an updated panel or targeted sequencing of a newer gene is an 
option for consideration. In some cases, sequencing panels are gener­
ated by selective reporting of relevant genes within an exome dataset. 
In such cases, it may be possible to expand the analyses to new genes 
of interest without additional sequencing.

AGNOSTIC MOLECULAR TESTING  Agnostic testing typically uses data 
from a broad testing platform, such as exome or genome sequencing, 
and considers all detectable diagnoses, even those with a low pretest 
probability of being present. This approach can also generate hypoth­
eses for potentially new disease-gene associations. Analysis of the 
sequencing data typically includes an unrestricted search throughout 
the entire human genome or exome space. DNA sequence variants 
with potential medical relevance are identified first by bioinformatic 
characteristics, including known association with disease, predicted 
importance for protein function, interspecies conservation, popula­
tion frequency, and an evolving list of other associated or functional 
factors. The list of candidate variants is then subject to expert review 
(i.e., curation). The interpretation of test results in this setting is highly 
influenced by both the adequacy of communication between the clini­
cal and testing teams and the information content of the data sources 
used to annotate each of the thousands of variants generated in the 
course of sequencing.
There is a rapid proliferation of new testing platforms and analytical 
tools with the potential to contribute to solving undiagnosed diseases, 
but it remains challenging to judge their broad utility. While awaiting 
systematic validation and practice standards, novel techniques may 
be considered in special cases where a diagnostic hypothesis is closely 
aligned with the type of data generated by a specific testing strategy 
(Table 505-4).
■
■PERIODIC REEVALUATION
The cornerstone for the care of a patient in an undiagnosed disease 
state is a plan for periodic reevaluation. The Undiagnosed Diseases 
Network (UDN), a 10-year National Institutes of Health–sponsored 
national program, was specifically designed to evaluate undiagnosed 
patients. The overall diagnostic rate of the UDN, including periodic 
reevaluation of early enrollees, was reported as ~30%. This finding 
TABLE 505-4  Emerging or Special Testing Strategies and Related 
Diagnostic Questions
AVAILABLE 
CLINICALLYa
TESTING STRATEGY
RELATED DIAGNOSTIC QUESTION
Transcriptomics, 
RNA-Seq
Relevance of splice, regulatory, and other 
noncoding variants; correlated changes 
in gene expression within pathways
Yes
Metabolomics
Hypothesis generation via nontargeted 
approaches, correlated pathway 
changes, correlation with molecular 
findings
Yes
Epigenetics
Diseases known or suspected to be 
caused by methylation or parent-of-origin 
effects
Yes
Transcriptional 
profiling
Search for profile particular to certain 
disease states, e.g., interferon-inducible 
gene panels (interferon signature) in 
certain autoinflammatory disorders
Some
Specialized, diseasespecific testing
Prion-related diseases, metabolic 
diseases, and many other assays
Some
Functional validation
Model organisms, cell biology, and other 
approaches to validating a hypothesized 
gene-disease association
No
Metagenomics
Search for molecular fingerprints of other 
organisms (e.g., infectious agents) within 
human samples
Yes
Long-read 
sequencing 
technology
Accurate resolution of low-complexity 
regions of the human genome (repeat 
expansion disorders) and complex 
genome structural rearrangements
No
Deep sequencing
Accurate resolution of low levels of 
mosaicism
Some
Optical genome 
mapping
High-resolution chromosomal structure
Yes
aAvailable clinical tests are often a small subset of approaches available via 
research collaboration. Clinical testing offerings are evolving rapidly and should be 
reassessed periodically.

illustrates the fact that many affected individuals remain in an undi­
agnosed state for a protracted period. For a medical provider, the care 
of an undiagnosed patient includes a program for symptomatic care, 
support related to the undiagnosed state itself, and plans for a regular 
reevaluation strategy seeking new insights into the diagnosis by follow­
ing its time trajectory. Reevaluation is guided by emerging knowledge 
in the field, disease progression, and the development of new signs and 
symptoms. The appearance of a similar disease in a sibling or close 
relative may provide critical insight. Communication with the patient 
is an essential component. Many individuals with an undiagnosed dis­
ease report feeling abandoned by their providers once initial diagnostic 
ideas have been exhausted. Providers themselves may feel discouraged 
in being unable to provide a diagnosis. The institution and discussion 
of a well-defined plan for periodic reassessment and communication 
can help reinforce the patient-provider relationship and set reasonable 
expectations.

Reevaluation of Differential Diagnosis 
The key to success for a 
planned reevaluation visit is preparation. The problem and differential 
diagnosis lists should be subject to careful, evidence-based review. New 
or resolved clinical features may add or remove diagnostic consider­
ations. The passage of time may result in the emergence of distinct new 
phenotypic manifestations that serve as new clues in the formulation 
of a definitive diagnosis. Special consideration should be given to the 
effects of reaching maturity and aging. The establishment of a pheno­
type as being static versus progressive has prognostic value. Careful 
documentation of the rationale for including or excluding individual 
disorders will streamline the process for both future reevaluations and 
the need for consultants. Concurrent development of common diseases 
should be thoughtfully considered as a possible component of the 
primary undiagnosed condition. For example, emergence of insulindependent diabetes mellitus in an undiagnosed patient with a complex 
phenotype could be a feature of the rare autoimmune polyendocrinopa­
thy associated with mutations in the autoimmune regulator gene AIRE.
CHAPTER 505
Novel Approaches to Diseases of Unknown Etiology  
New Literature 
Keeping abreast of current literature is an impor­
tant and challenging activity for all medical providers as the body of 
medical knowledge continues to grow exponentially. For undiagnosed 
diseases, newly reported disorders and disease-gene associations are an 
important source of diagnostic resolution. Literature search tools such 
as PubMed can be augmented by online resources that connect clinical 
signs and symptoms (phenotypes) to disorders. For example, using the 
search terms “cardiomyopathy arthropathy diabetes hyperpigmenta­
tion” in the Online Mendelian Inheritance in Man website (https://
omim.org) produces a list of disorders that includes hemochromatosis. 
In the context of an undiagnosed disease, this type of phenotypedriven approach can be used to search for new, relevant publications 
and disorders. Tools for search automation continue to be developed 
in both open-source and commercial settings. The success of these 
approaches is augmented by iterative application, ideally as part of 
formal, periodic reevaluation of the undiagnosed patient.
■
■GENOMICS
The use of medical testing based on the determination of DNA 
sequence and structure (sometimes referred to as molecular testing) 
has proliferated in recent years. A wide variety of approaches are 
available to the clinician, from single-gene sequencing to exome or 
genome sequencing. RNA sequencing and optical genome mapping 
have recently become available as clinical tests. Many reviews of this 
topic are available (see Marwaha et al., 2022, in “Further Reading”). 
Consultation with colleagues trained in genetics can be useful when 
developing an optimal testing approach.
In some cases, genetic testing results may already exist in the medi­
cal record during the initial evaluation of an undiagnosed patient. This 
is increasingly true for younger patients; exome and genome sequenc­
ing are being used earlier, and with increasing frequency, for complex 
diagnostic challenges. Reanalysis of previously obtained exome and 
genome data should start with consideration of both the age and qual­
ity of the study and the reported patient phenotype at the time of the 
study report. For sequence results generated in a clinical laboratory,

a discussion between the provider and the laboratory director often 
answers important questions about recommended next steps. The dis­
cussion should touch on how technologic advances have affected the 
utility of the older data and whether the laboratory offers reanalysis 
of the data. At a minimum, the provider, the testing laboratory, or an 
identified subspecialist should review previously reported DNA vari­
ants of unknown significance considering interval reports about the 
gene in question. More advanced reanalysis strategies are emerging and 
may be offered by the testing laboratory.

Some laboratories offer release of raw DNA sequencing data to their 
patients on request. The utility of raw data varies and depends on the 
identification of bioinformatics collaborators willing to reanalyze the data. 
Sequencing data obtained as part of a research study may not be suitable 
for clinical diagnostic purposes. In practice, raw and research-generated 
sequencing data are most useful when a collaborating researcher can be 
identified.
When considering a new sequencing test, the inclusion of the par­
ents and siblings of the proband has the potential to provide enormous 
value in some situations. Discussion of an optimal approach with an 
expert colleague or the testing laboratory is encouraged.
■
■EXPOSOME
In many cases, a detailed occupational and environmental expo­
sure history should be obtained. Some rare disease phenotypes are 
pathognomonic of specific toxicant exposures (e.g., mesothelioma 
and asbestos exposure, clear cell adenocarcinoma of the vagina and 
intrauterine diethylstilbestrol [DES] exposure, chloracne and exposure 
to halogenated aromatic hydrocarbons). For the most part, however, 
chemical toxicant exposures do not produce unique phenotypes. 
Rather, chemical exposures operate in conjunction with lifestyle 
factors (e.g., smoking, alcohol intake, and nutritional status), dif­
ferential host susceptibility (determined by age, sex, comorbidities, 
genetics, etc.), and nonchemical stressors (e.g., psychosocial stress) 
to produce (1) common, readily diagnosed medical diseases (e.g., 
asthma); (2) unusual or nonspecific phenotypes (e.g., erethism and 
metallic mercury exposure); or (3) atypical presentations of otherwise 
well-characterized disease states, initially considered an undiagnosed 
disease (e.g., manganese-induced parkinsonism). The nonspecificity 
typical of chemical-induced disease risk is further complicated by lack 
of exposure biomarkers for many common environmental toxicants 
(e.g., volatile organics), the short half-life of some contaminants (e.g., 
arsenic), and the possibility of decades long latency between exposure 
and disease onset (e.g., chemical carcinogenesis or dietary exposures 
to specific biochemical risk factors for atherothrombosis). In addition, 
we live in an era in which new chemicals are introduced into consumer 
products and the environment at a pace well beyond our capacity to 
characterize their toxicity. Within this context, one of the most power­
ful tools for ascertaining chemical-related disease risk is a systematic 
exposure history. Although there are no standardized instruments for 
this purpose, there are published guidelines to implement exposure 
assessments (Goldman and Peters, 1981; see “Further Reading” below). 
These include a multistep approach to exposure assessment including 
a job history; a review of exposures at work and at home or via hobbies 
and recreation; ascertainment of any temporal relationship of symp­
toms or disease onset to work, home, or recreational activities; and the 
food frequency questionnaire. If this screening identifies a potential 
exposure or exposures of concern with respect to patient symptoms 
and phenotype, a second step of evaluation involves a more detailed 
history to identify specific suspect agents, options for quantitative 
environmental exposure assessment (e.g., household tap water sam­
pling, review of workplace Material Safety Data Sheets [MSDSs]) and 
biomonitoring, and etiologic plausibility for at least some aspects of the 
patient’s phenotype.
PART 20
Emerging Topics in Clinical Medicine
The traditional approach to focused external exposure assessment 
proposed above does not, however, provide an integrated, quantitative 
measure of all exposures over the life course, an exposure characteriza­
tion of particular interest for the risk of chronic diseases such as cancer 
or atherothrombosis. The exposome has been proposed as a promising 
means for capturing the totality of human exposure over a lifetime 

(analogous to the totality of genetic exposure assessed via genomic 
analyses), including not only external chemical or dietary/foodome 
(Barabasi et al., 2020; see “Further Reading” below) exposures but 
also internal (e.g., metabolic, hormonal, microbiome) influences and 
psychosocial factors. However, techniques for measuring the expo­
some are in relatively early stages of development, are limited by the 
substantial variability in human exposure experience, and have not yet 
been designed to capture complex combinations commonly encoun­
tered in environmental or occupational exposure settings (Peters et al., 
2012; Wild, 2012; Brunekreef 2013; Barabasi et al., 2020; see “Further 
Reading” below). This important element of assessing patients with 
undiagnosed disease is, however, evolving rapidly and offers the prom­
ise of becoming a more formal part of the evaluation of many patients 
with undiagnosed disease.
■
■ENGAGEMENT OF RESEARCH APPROACHES
Establishing a research collaboration for a patient with undiagnosed 
disease can be both challenging and rewarding. Time and effort 
resources are likely to limit this approach to a subset of patients with 
particularly compelling clinical presentations and a strong hypothesis 
about disease causation. The process must include early and detailed 
communication with the patient. Several approaches may be consid­
ered. Undiagnosed disease medicine, as a focus of specialized study, 
investment, and infrastructure, has proliferated around the world in 
the last decade, with numerous centers providing support for evaluat­
ing qualifying individuals and families.
Leveraging Phenotypic and Genotypic Similarities 
For a 
patient with a rare or undiagnosed disease and distinct presenting fea­
tures, finding similarly affected individuals adds substantial benefits. 
It can encourage research, provide a community for affected patients, 
and improve the chances of finding commonalities in pathogenesis 
and therapeutic strategies. Phenotypic aggregation may also allow the 
patient to connect with consortia invested in related medical presenta­
tions. Examples include organizations dedicated to the study of related 
diseases such as leukodystrophies, autoinflammatory disorders, and 
even undiagnosed diseases; NORD, the National Organization for Rare 
Disorders (rarediseases.org), can be a useful starting point. The Office 
of Rare Disease Research within the National Center for Advancing 
Translational Science supports consortia under the Rare Disease Clini­
cal Research Network program. Building patient cohorts may also be 
based on specific biological mechanisms or pathways, for example, the 
United Mitochondrial Disease Foundation.
Data Sharing 
The proliferation of DNA sequencing technology and 
the subsequent generation of many DNA variants of unknown clinical 
significance have prompted the creation of data-sharing resources spe­
cifically designed to match similar cases submitted by clinicians and 
researchers around the world. For example, a clinical exome report 
may identify variants in a gene with a potential but unproven relation­
ship to the patient’s presenting illness. The clinician could enter the 
gene name into a gene-matching database, and if the same gene name 
had been already entered by a different submitter, the database would 
flag a match and send contact information to both submitters. The 
matching procedure has the potential to identify additional cases of 
an ultrarare or newly described condition, while avoiding the shar­
ing of the patient’s personal health information. Embellishments of 
this approach involve inclusion of phenotypic features, data entry by 
families, and specific details of sequence variants. Example systems 
include GeneMatcher (the most populated database for single-gene 
submissions) and DECIPHER (which adds expended utility for larger 
structural variants). As an illustration of their utilization at the time of 
this chapter’s publication, GeneMatcher has single-gene submissions 
for almost 70% of all known protein coding genes.
Collaboration 
Collaborations around undiagnosed disease 
patients may take many forms. Studies focusing on related medical 
conditions can sometimes be identified using the https://clinicaltrials.
gov website, which lists many U.S. and non-U.S. clinical studies. Data­
bases of clinical information (e.g., this textbook, GeneReviews) can 
be used to identify subject matter experts for related conditions. Such

No diagnosis after
comprehensive evaluation
Symptomatic care,
consider empiric treatments
Consultative assessment
Iterative assessment
Comprehensive review and
re-evaluation of evidence
for prior conclusions
Review new records, signs,
symptoms, and
environmental history
Testing to validate key
results and evaluate new
diagnostic hypotheses
Consider new literature and
availability of new or
updated testing strategies
Consider hypothesisgenerating tests including
genomic sequencing
Reformulate differential
diagnosis
DIAGNOSIS?
Yes
No
Document reasoning and
supporting evidence
Consider collaboration to
explore hypotheses
Work with patient to define
concrete follow-up plan
FIGURE 505-1  Approach to the patient with an undiagnosed disease.
experts can be queried about ongoing studies. In some cases, a willing­
ness to work with consenting families to provide biological specimens 
can open additional avenues for collaboration.
■
■CHALLENGES
Data Portability 
Obtaining specimens, data, and records for 
a chronically undiagnosed patient can be time-consuming and 

challenging. Families may be charged fees for obtaining copies of old 
studies. Although continuing advances in record access are occurring, 
families should be encouraged to collect and maintain an updated col­
lection of medical records. These should include copies of consultation 
notes, original laboratory results, and radiology studies (the latter pref­
erably in electronic form). These record collections are useful for con­
sultation, second opinions, and transitions between primary providers.

Managing Illness Behaviors, Expectations, and Secondary 
Manifestations 
Patients with undiagnosed diseases may present 
in any stage of the grieving process. Coping with uncertainty, loss of 
abilities, work, relationships, autonomy, and financial security com­
pound the primary manifestation of the disease. Patients may have a 
wide range of expectations about the possible benefits of achieving a 
diagnosis, including successful therapy. Patients of reproductive age 
may find that their greatest uncertainty surrounds the potential herita­
bility of their disorder, its effects on future reproductive decisions, and 
the potential risk it may represent to their children and living relatives. 
These factors may be equally or more disabling than the primary illness 
and require an individualized and multidisciplinary approach.
CONCLUSION
Chronically undiagnosed diseases present a complex challenge to 
patients, medical providers, and society at large. Development of a 
comprehensive plan for evaluation, reevaluation, and support requires 
a substantial investment of time and effort (Fig. 505-1).
Achieving an accurate diagnosis removes at least one level of uncer­
tainty and allows for disease-specific counseling, therapies, resources, 
community engagement, and advocacy opportunities otherwise not 
afforded to undiagnosed patients.
CHAPTER 505
■
■FURTHER READING
Barabasi AL et al: The unmapped chemical complexity of our diet. 
Nat Food 1:33, 2020.
Brunekreef B: Commentary: Exposure science, the exposome, and 
Novel Approaches to Diseases of Unknown Etiology  
public health. Environ Mol Mutagen 54:596, 2013.
Goldman RH, Peters JM: The occupational and environmental 
health history. JAMA 246:2831, 1981.
Lee CE et al: Rare genetic diseases: Nature’s experiments on human 
development. iScience 23:101123, 2020.
Marwaha S et al: A guide for the diagnosis of rare and un-diagnosed 
disease: Beyond the exome. Genome Med 14:23, 2022.
Peters A et al: Understanding the link between environmental expo­
sures and health: Does the exposome promise too much? J Epidemiol 
Community Health 66:103, 2012.
Splinter K et al: Effect of genetic diagnosis on patients with previously 
undiagnosed disease. N Engl J Med 379:2131, 2018.
Wild CP: The exposome: From concept to utility. Review. Int J Epide­
miol 41:24, 2012.

This page intentionally left blank