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. Author manuscript; available in PMC: 2015 May 28.
Published in final edited form as: Annu Rev Genomics Hum Genet. 2013 Jul 15;14:371–392. doi: 10.1146/annurev-genom-091212-153417

Translational Genetics for Diagnosis of Human Disorders of Sex Development

Ruth M Baxter 1, Eric Vilain 1,2
PMCID: PMC4447314  NIHMSID: NIHMS691013  PMID: 23875799

Abstract

Disorders of sex development (DSDs) are congenital conditions with discrepancies between the chromosomal, gonadal, and phenotypic sex of the individual. Such disorders have historically been difficult to diagnose and cause great stress to patients and their families. Genetic analysis of human samples has been instrumental in elucidating the molecules and pathways involved in the development of the bipotential gonad into a functioning testis or ovary. However, many DSD patients still do not receive a genetic diagnosis. New genetic and genomic technologies are expanding our knowledge of the underlying mechanism of DSDs and opening new avenues for clinical diagnosis. We review the genetic technologies that have elucidated the genes that are well established in sex determination in humans, discuss findings from more recent genomic technologies, and propose a new paradigm for clinical diagnosis of DSDs.

Keywords: gonadal dysgenesis, microarray, exome sequencing, genetic diagnosis

INTRODUCTION

One of the defining moments of human lives comes early in development, when individuals embark on a male or female path. How sex is determined in humans has long been a source of fascination, and each pregnancy, with its uncertainty of the baby’s sex, is a reminder of the mysterious complexity of sexual development. Understanding this process has not only biological significance, allowing for the deciphering of the mechanisms of reproduction and sex differences in physiology and medicine, but also human significance, in tackling our own perceptions of masculinity and femininity and caring for often-ostracized conditions involving sexual organs.

Sex development includes both the determination of the gonads from the bipotential precursor and the subsequent differentiation of reproductive organs resulting from the sex hormones (reviewed in 6). Disorders of sex development (DSDs) are defined as “congenital conditions in which development of chromosomal, gonadal or anatomical sex is atypical” (46) and encompass a range of phenotypes, including ambiguous genitalia, androgen insensitivity, and a gonadal and external sex opposite to the genetic sex, a situation sometimes referred to as sex reversal (46). DSDs are caused either by variants in the pathway responsible for determining gonadal development or by disruption of sex differentiation owing to defects in hormone production or sensitivity. The birth of a child with a DSD is extraordinarily stressful for the parents because it brings great uncertainty regarding the child’s gender and psychosexual development, an uncertainty that is enhanced by the difficulty that medical teams have in quickly providing an explanation for the situation.

Here, we focus on the genetics of sex determination and discuss the dramatic advances in genetic and genomic technologies that have resulted in the discovery of many genes involved in sex determination; we also discuss how these findings have been and continue to be translated to clinical diagnoses to provide a much-needed management guide to patients, families, and practitioners. Despite the major advances in our understanding of mammalian sex determination, many people with DSDs do not currently receive a definitive genetic diagnosis. This situation is likely to change with the revolution of fast, affordable, and clinically actionable next-generation sequencing (NGS).

GENE DISCOVERY USING POSITIONAL CLONING

Prior to the sequencing of the complete human genome (60, 118), disease genes were identified primarily through positional cloning and linkage analysis. Such studies were time consuming and difficult for genes involved in sex determination because of the small number of patients and lack of the large families useful for linkage analysis. Many of the early identifications of genes involved in sex determination were achieved by positional cloning using patient samples in which microscopically visible chromosomal alternations were identified using standard cytogenetic techniques.

SRY

The testis-determining factor was long known to be present on the Y chromosome. The SRY gene was cloned using genomic DNA from four sex-reversed XX patients who carried fragments of the Y chromosome (103). Confirmation that SRY is the testis-determining factor came from subsequent studies showing mutations in the gene in XY females with gonadal dysgenesis (16, 48) and expression of mouse Sry at the appropriate time during mouse testis development (59). Transgenic mouse studies further showed that ectopic expression of Sry in the gonad results in a male phenotype with an XX genotype (58).

The discovery of the SRY gene led to testing in DSD patients. The majority of XX males who have been tested have a functional copy of the SRY gene owing either to a translocation of the SRY-containing portion of the Y chromosome onto the X chromosome or to some level of XX/XY mosaicism (24). Thus, the majority of XX males can be explained by the presence of SRY, but the remaining 10% generally remain unexplained at the genetic level. In contrast, defects in SRY explain only approximately 15% of XY gonadal dysgenesis (24, 41, 116), and thus the majority of patients with DSDs cannot be genetically explained by variants in SRY (46, 66).

SOX9

After the cloning of SRY, it became apparent that there were other factors involved in male sex determination because the majority of XY gonadal dysgenesis patients were found to have an intact copy of SRY, and a small subset of XX males cannot be explained by the presence of the SRY gene. Deletions and translocations involving the 17q24.3–25.1 chromosomal region result in a large percentage of sex reversal owing to gonadal dysgenesis in XY individuals and also cause campomelic dysplasia, a usually lethal skeletal malformation syndrome (43). Thus, this region of chromosome 17 was presumed to also include a gene (or genes) necessary for testis development (114). The sex-reversal locus on chromosome 17 is homologous with mouse chromosome 11, where an SRY-related gene, Sox9, had been identified (125), thus suggesting that a human homolog within the chromosome 17 locus is responsible for the XY gonadal dysgenesis observed in campomelic dysplasia. Cloning and mutation analysis of human SOX9 by two independent groups showed that loss-of-function mutations in the gene were responsible for both campomelic dysplasia and XY gonadal dysgenesis (36, 120). Because inactivating variants of SOX9 cause such an obvious phenotype in the bowing of the long bones, this gene is not usually tested in isolated cases of XY gonadal dysgenesis.

NR0B1/DAX1

For a long time, female sexual development was thought to be the default, passive pathway because it occurs in the absence of any gonadal tissue, as first demonstrated by the classic experiments of Jost (5355). In recent years, several genes have been described that actively promote ovarian development or suppress aspects of the male pathway. Duplication of the short arm of the X chromosome was observed in XY females (15), suggesting the presence of a dosage-sensitive gene on the X chromosome that promotes female development. The locus was initially named DSS (for dosage-sensitive sex reversal) (11), and when the gene within the DSS locus was cloned, it was named DAX1 (for dosage-sensitive sex reversal, adrenal hypoplasia critical region, on chromosome X, gene 1), now termed NR0B1 (for nuclear receptor subfamily 0, group B, member 1) (128). Increased dosage of NR0B1 can cause female development despite the presence of the wild-type SRY gene (9, 124). Although suspected from the human clinical findings, this gene’s effect was confirmed in a mouse model: When Nr0b1 is overexpressed in mice that have naturally low levels of Sry, the XY mice develop as females (106).

NR0B1 is especially interesting because inactivating variants—the converse situation to the duplications described above—cause X-linked adrenal hypoplasia congenita (AHC), a severe form of adrenal insufficiency (128). AHC results from the developmental failure of the adrenal cortex associated with hypogonadotropic hypogonadism, a DSD caused by a combined deficiency of GnRH (gonadotropin-releasing hormone) secretion and pituitary responsiveness to GnRH (47). In AHC, the initial determination of testis development is normal and no sex reversal is observed (47). NR0B1 genetic testing is available for clinical diagnosis—both deletion/duplication analysis for cases of XY gonadal dysgenesis and full gene sequencing when AHC is suspected.

DMRT1

Another sex determination gene identified by positional cloning using human clinical samples is DMRT1. Terminal 9p deletions detected by karyotype are associated with XY sex reversal (14, 34, 40, 117). Many case reports of XY sex-reversed individuals with a 9p deletion allowed the region to be more finely mapped to the region distal of 9p24.3 (34, 40, 117). The human DMRT1 gene was initially identified on the basis of similarity with the doublesex gene in Drosophila and the mab-3 gene in Caenorhabditis elegans, both of which are required for sex determination (95). Shortly after its identification, the human DMRT1 gene was found to map within the 9p locus at 9p24.3 (94). A related sequence, DMRT2, was also located in the same region, and both of these genes are deleted in even the smallest 9p deletions associated with sex reversal; however, it is still unclear whether either or both genes are required for normal sex determination in humans (68). No single-gene variants in either DMRT1 or DMRT2 have yet been identified in human DSD samples, although there is one case report of a partial deletion of DMRT1 (exons 3 and 4) in a case of XY ovotesticular DSD (62). Recent research on mice has shown that Dmrt1 is necessary for maintenance of testicular determination (74) and that Dmrt2 is not necessary for gonadal development (101).

WT1

Wilms’s tumor is a childhood cancer of the kidney that is sometimes associated with other developmental syndromes caused by WT1 mutations, such as WAGR (Wilms’s tumor, aniridia, genitourinary anomalies, and mental retardation) (91), Denys-Drash syndrome (22, 26, 90), and Frasier syndrome (10), all of which share features of genitourinary abnormalities, particularly XY gonadal dysgenesis (99). Cytogenetic analysis showed that patients with these conditions often have chromosomal deletions that contain the 11p13 region, and the WT1 Wilms’s tumor predisposition gene was mapped within this locus (23, 38). WT1 is expressed during human gonadal development (93), and, as noted above, WT1 mutations are associated with Denys-Drash syndrome (22, 26, 90).

Genetic testing by sequence determination or duplication/deletion analysis is clinically available for all of the genes described above except DMRT1. SOX9 and WT1 variants are invariably associated with complex disease phenotypes where the DSD may not be the major clinical concern. SRY analysis by gene sequencing and fluorescence in situ hybridization (FISH) is often indicated if the sexual phenotype does not match the chromosome complement. Compared with the testing of other sex determination genes identified by positional cloning, SRY testing has a significant diagnostic yield.

GENE DISCOVERY FROM LINKAGE ANALYSIS

Linkage analysis is commonly used to identify genes associated with diseases that occur in families. This approach has not been used much in identifying genes associated with DSDs because there are not many families with multiple DSD cases. However, a few notable DSD genes have been identified through family studies.

MAP3K1

A large family with multiple cases of XY gonadal dysgenesis was used to identify a locus on the long arm of chromosome 5 that is associated with this phenotype (51). The 5-Mb region contains more than 30 candidate genes, 2 of which were known to be expressed in mouse gonads around the time of sex determination (89). These genes, MAP3K1 and MIER3, were sequenced in the affected individuals of the original family, and a splice-site variant in MAP3K1 was found to segregate with the disease phenotype but was not observed in 100 matched controls or in the 1000 Genomes Project (89). Subsequent analysis in an additional family and a number of sporadic cases identified additional MAP3K1 variants, all of which correlated with the phenotype and had not previously been reported. Functional in vitro analysis found that the MAP3K1 variants disrupted signaling and resulted in increased activation of downstream targets (89). The confluence of linkage analysis and functional data in mice firmly implicates MAP3K1 as required for normal human sex determination.

RSPO1

RSPO1 (R-spondin-1), a female-specific sex determination factor, was identified on the basis of linkage analysis in a large consanguineous family (87). This family had four 46,XX brothers who also had a skin condition known as palmoplantar hyperkeratosis (PPK) that segregated with the sex reversal in a recessive inheritance pattern. The tight linkage between PPK and sex reversal allowed the gene to be localized to the 1p34–35 chromosomal region, very close to the position of WNT4 (87) (see below). Sequencing of a large number of genes from this region identified homozygous variants in RSPO1. An additional, unrelated 46,XX male with PPK was found to have a homozygous deletion that included exon 4 of RSPO1. RSPO1 is expressed in developing human gonads around the time that sex is determined (113), and an RSPO1 variant predicted to produce a protein product with partial activity was identified in an XX ovotesticular patient (112). The data from human cases provide convincing evidence that RSPO1 is required for ovarian development. Additional data from mouse models showed that the ovarian defects in Wnt4 and Rspo1 null mice were very similar, and it appears that Rspo1 and Wnt4 proteins interact to stabilize β-catenin (25), a critical step in ovarian development (35).

FROM MICE TO HUMANS

SF-1/NR5A1

SF-1 (steroidogenic factor 1), now known as NR5A1 (nuclear receptor subfamily 5, group A, member 1), is a steroidogenic factor that functions in cooperation with other transcription factors to regulate the expression of many different genes (49). It was cloned on the basis of its role in endocrine function (86), but the knockout mouse displayed combined adrenal and XY gonadal dysgenesis phenotypes similar to those seen in some human patients. The first demonstration of SF-1 variants in human DSD patients was direct sequencing of SF-1 in female patients with XY karyotypes and primary adrenal failure (2, 3). SF-1 is expressed early during mouse gonadal development, where it has roles in promoting the expression of AMH (anti-Müllerian hormone) (102) and SOX9 (100), among many other genes involved in testis development (85); it is therefore critical in the male determination program. Many SF-1 variants have been identified in 46,XY DSD patients, and SF-1 mutations have been estimated to account for up to 13% of XY gonadal dysgenesis (84).

WNT4

WNT4, a member of a family of secreted signaling molecules (42), was the first female-specific sex determination factor to be identified. Wnt4 is expressed in the developing mouse ovary but is downregulated in the developing testis (115). Mice with Wnt4 deleted show masculinization of XX animals, suggesting that this gene is required for female sexual development (115). Human WNT4 has been localized to the 1p35 chromosomal region, which was previously found to be duplicated in a number of XY DSD patients (52). In one such patient, a duplication at the distal region of chromosome 1p containing WNT4 was confirmed, and expression analysis found increased expression of the WNT4 protein (52). WNT4 mutations have subsequently been identified in multiple studies of 46,XX DSD patients (18, 19), confirming its essential role in female development.

FGF9

A significant amount of data from mouse models has shown that FGF (fibroblast growth factor) signaling is required for male sex determination. Homozygous deletion of Fgf9 results in sex reversal of XY embryos, which show a range of phenotypes, from having hypoplastic testes to being completely female (27). Multiple secreted FGFs signal through four receptors that show overlapping spatial and temporal expression throughout development (33). Further genetic deletion studies in mice showed that Fgfr2 is the receptor required for normal testis development (8, 57).

Despite the strong evidence for the role of FGF signaling in sex determination in mice, data in humans remain sparse. Variants in FGFR2 have been associated with familial hypospadias (12), but there is only one report that suggests the direct involvement of FGFR2 in human sex determination. One patient with an XY karyotype and ambiguous genitalia was found to have a deletion of 57.4 Mb that includes the FGFR2 coding sequence (107). Although this large deletion is likely to be the cause of the patient’s condition, the deleted region contains at least 620 genes in addition to FGFR2. Thus, the role of FGF signaling in human sex determination remains to be identified.

GENOME-WIDE SCANNING

A traditional karyotype has a limit of detection of approximately 5–10 Mb in the highest-resolution chromosomes. Chromosomal microarrays (CMAs) scan the entire genome to detect duplication or deletion of genomic sequences known as copy-number variants (CNVs) at a much higher resolution (reviewed in 95). Two main types of microarrays are currently in use for genetic testing. Comparative genomic hybridization (CGH, often termed array CGH) uses two DNA samples, the patient DNA and control genomic DNA, which are labeled with two different fluorophores, usually red and green. The two samples are hybridized to the array, and the relative fluorescent signal shows regions of gain or loss of genetic material in the patient in direct comparison with the control sample. This type of array is considered the best for detecting CNVs because of the direct comparison with the control DNA and because the oligonucleotides on the array are generally longer (50–70 base pairs). However, they are not capable of detecting regions of homozygosity. Single-nucleotide polymorphism (SNP) arrays were initially developed to screen for the presence of common SNPs (defined as those present in >1% of the population) and use a single fluorescently labeled DNA for hybridization. In this approach, CNVs are determined by comparing the output with an electronic reference sequence.

Manufacturers of each type of array have attempted to create single arrays that are clinically useful for detecting both CNVs and SNPs. SNPs are not evenly distributed throughout the genome, so additional oligonucleotides have been added to SNP arrays to extend the genomic coverage, allowing comprehensive detection of both CNVs and regions of heterozygosity, which are useful in the detection of consanguinity and screening for uniparental disomy. CGH arrays have added oligonucleotides covering common SNPs to facilitate identification of regions of heterozygosity.

Both types of array are used in commercial and research labs to detect CNVs, so to avoid having to repeatedly distinguish between the two techniques, we refer to both as CMAs. Two of the most notable cases where CMA analysis of human patients has confirmed previous findings from mouse models are SOX3 and GATA4.

SOX3

There are at least 20 members of the SOX (for SRY-related HMG-box-containing) gene family. SOX3 encodes the protein that is most similar to that encoded by SRY, with 67% identity and 90% similarity at the amino acid level (21). In addition to SRY, SOX8, –9, and –10 are expressed in the developing male gonad. SOX3 is not expressed in the gonads and neither mice nor humans with mutations in SOX3 show defects in sex determination, indicating that this gene is not necessary for correct sex determination (122). However, transgenic mice that express ectopic SOX3 in the gonad show sex reversal, with XX animals developing as phenotypic males (105).

Following the development of the SOX3 transgenic mice, 16 human SRY-negative XX males were screened using CMAs. Two patients had duplications of the SOX3 coding region: One had a microduplication containing the entire SOX3 coding region and little else, and the other had a large duplication that contained at least 18 genes in addition to SOX3 (105). A recent case report also found an X chromosome duplication in an XX male individual that covered the SOX3 coding region (78). These independent reports of duplications in human XX DSD patients are consistent with the hypothesis that increased expression of SOX3 can replace SRY and is sufficient to induce the male determination pathway. A third patient had a microdeletion immediately upstream of the SOX3 coding region that could affect regulatory sequences (105). Taken together, these are compelling data that overexpression of SOX3 in the developing gonad is sufficient to trigger the male determination pathway in the absence of SRY.

GATA4

GATA4 is a member of a conserved family of transcription factors that contain two zinc-finger DNA-binding domains. It interacts with other transcription factors such as FOG2, which in mice is required for gonadal development (109). Gata4 knockout results in early embryonic lethality owing to abnormal cardiac development before sex determination is initiated (110). To determine whether mutations in Gata4 also affect sex determination in mice, a knock-in model was developed that expresses a mutated Gata4 that cannot bind to Fog2, an obligatory partner for Gata4. The Gata4ki mice show abnormal testis development, demonstrating that Gata4 is required for normal testis development in mice (70).

Human mutations in GATA4 have been associated with congenital heart defects (92) but until recently had not been reported in association with any other developmental abnormalities. Two studies in humans have provided supporting evidence for the role of GATA4 in human testis development. Lourenco and colleagues (64) used direct sequencing of a number of target genes in a family with congenital heart defects and DSDs and identified a heterozygous mutation in GATA4 that segregated with disease phenotype. In vitro studies found that the GATA4 variant disrupts the activation of AMH, which would be expected to result in decreased AMH expression in vivo. An independent study using a CMA to look for CNVs in XY gonadal dysgenesis identified one case with a deletion immediately downstream of GATA4. The deletion does not affect the GATA4 coding sequence but could result in disrupted regulation of GATA4 expression (124). Taken together, these data suggest that inactivating mutations of GATA4 may be a minor cause of XY gonadal dysgenesis in humans.

Novel Gene Discovery from Chromosomal Microarray Studies

In addition to confirming findings from mouse models, several studies using CMA analysis of human DSD patients have identified novel genes potentially involved in DSDs. A recent case report found an exonic deletion in WWOX through CMA analysis in an XY DSD patient with ambiguous genitalia (123). WWOX had not previously been associated with human DSDs, but a knockout mouse model showed abnormal gonadal development (4, 65). In this case, the published data from the mouse model lent diagnostic power to the CMA analysis of the patient.

In a large study of DSD samples, three patients with XY gonadal dysgenesis were found to have deletions in the 9p23–24 chromosomal region that showed a minimal overlap of 260 kb (107). This region includes DMRT1, which is known to be involved in human sex development (94). However, deletion of DMRT1 alone is not associated with human XY sex reversal (see above), suggesting that other genes in the deleted region may also be involved. Another gene in the region, KANK1, was proposed as a likely candidate. KANK1 is highly expressed during embryonic genital development and has been shown to interact with β-catenin (121), another gene known to be important in gonadal development (35, 67). Two additional genes, DNAJC15 and CAMK1D, have also been proposed as candidate genes in human DSDs on the basis of human CMA data coupled with sexually dimorphic expression in the developing mouse gonad (124).

A number of novel chromosomal loci have been linked with specific human phenotypes: Deletions at 12p13 and 16p11.2 are associated with hypospadias, deletions at 10p14 and Xq28 are associated with cryptorchidism, and deletions at 1p36.3, 9p24.3, and 19q12–13.1 are associated with ambiguous genitalia (107). Thus, in addition to clinical diagnosis of DSDs, CMAs have generated many candidate and chromosomal loci for further investigation of their potential roles in sex determination. However, when a CMA is used to diagnose DSD patients, such research findings can be challenging to interpret in deciding whether the results for a particular individual are causative.

Identification of Novel Regulatory Regions

CMA analysis of DSD patient samples has also identified CNVs that are outside of coding areas but close to genes known to be important in disease development. These variants potentially affect previously unrecognized regulatory sequences and are increasing our understanding of how alterations in noncoding regions may affect gene expression. Mutations in the coding region of SOX9 are associated with campomelic dysplasia and XY gonadal dysgenesis (described above), but approximately 10% of cases show only the gonadal dysgenesis in a condition known as acampomelic campomelic dysplasia. A high-density oligonucleotide array study of a family was recently described in which a deletion upstream of the SOX9 region appeared to cause XY gonadal dysgenesis in the absence of campomelic dysplasia (61). A CMA analysis of XY gonadal dysgenesis led to a similar finding of a deletion upstream of SOX9 in one patient (124). Thus, it appears likely that there are testis-specific regulators of SOX9 that are required for correct expression in the testis but not for normal bone development.

In contrast to inactivating mutations, SOX9 duplication has been associated with XX testicular and ovotesticular DSDs (45), suggesting dosage effects. Recent microarray studies have found structural changes upstream of SOX9 in such patients, suggesting a gain of function involving potential regulatory regions. A translocation of chromosomes 12 and 17 was identified in an XX male in which part of the sequence upstream of SOX9 was replaced by regulatory elements of a pseudogene (96). Two independent studies of XX males have found duplications upstream of SOX9 (13, 29), and another study identified a triplication in one family of XX males (119). These data strongly suggest that increased SOX9 expression in the gonad can be caused by alterations in regulatory regions of the gene and further support the hypothesis that elevated SOX9 expression is sufficient to induce the male sex determination pathway.

Partial duplications of the X chromosome that include the region containing the NR0B1 gene cause XY gonadal dysgenesis, whereas deletions of NR0B1 result in adrenal insufficiency, as described above. In one case of an XY female with an intact SRY gene, a deletion was identified upstream of the NR0B1 locus (104). Strikingly, this patient did not exhibit any adrenal insufficiency, suggesting that the deletion did not result in decreased DAX1 expression and instead likely caused an increased expression that would explain the sex reversal.

Diagnostic Yield from Chromosomal Microarrays

In many genetic clinics, CMA analysis is becoming standard for many patients, especially in cases of developmental delay and autism, where many chromosomal rearrangements have been identified in affected individuals (69, 76, 77). The diagnostic yield from such testing ranges from 10% to 20% (77, 98). Several studies have investigated the diagnostic yield of CMA specifically in DSD cases. One of the largest examined 116 children born with some level of DSD along with 8,951 control individuals (107). The categorization of DSDs in this study was very broad, ranging from minor genital abnormalities, such as hypospadias, all the way to complete discordance between sex chromosomes and phenotype. Chromosomal imbalances were detected in 21.5% of the affected population, most of which would not have been visible on a standard karyotype. However, this cannot be counted as a clinical diagnostic yield, because many of the CNVs identified did not contain any genes known to be involved in DSDs, and the significance of these variants at the clinical level remains uncertain. In an independent study of 23 patients with XY gonadal dysgenesis, likely diagnostic CNVs were identified in 3 patients, giving a success rate of 13% (124). This study also identified additional CNVs that did not contain known DSD genes. Although the clinical significance of novel genes for the diagnosis of DSDs is not yet known, these genes provide useful information for further investigation in additional patient cohorts.

NEXT-GENERATION SEQUENCING

Genome-wide scanning using CMAs is extremely useful for detecting submicroscopic chromosomal abnormalities but does not detect small insertions or deletions (indels) (usually defined as those <1 kb) or single-nucleotide variants (SNVs). Until recently, the detection of small indels and SNVs was the domain of Sanger sequencing, and for diagnostic purposes it was limited to a small number of candidate genes. NGS has created a paradigm shift in the use of sequencing in genetic diagnosis (72). Current NGS technologies use a sequencing-by-synthesis approach to generate sequence from a vast number of small DNA fragments simultaneously (73). NGS can sequence an entire human genome within a few weeks and also allows the rapid sequencing of smaller selections of DNA by targeted capture of either a specific set of genes or the entire subset of the genome that is expressed, i.e., exome sequencing.

The first use of NGS to sequence the entire human exome was published in 2009 (82), and these technologies are changing the genetic diagnostic landscape. By 2012, several institutions were offering whole-exome sequencing (WES) on a clinical basis. The ability to examine the entire exome sequence instead of being limited to a small number of target genes or diagnostic tests is revolutionizing the diagnosis of multigenic disorders. A recent series of papers showed that rare de novo mutations can cause autism (80, 83, 97), and a study of patients with severe intellectual disability found a diagnostic variant in 16% of cases (30). Other multigenic disorders such as deafness/hardness of hearing and cardiomyopathies are also increasingly being diagnosed using NGS (39, 63, 71).

We have reported the first use of NGS in diagnosis of DSDs (5). In this study, we used a targeted approach in which we developed a custom capture kit to isolate the coding sequences of 35 known genes of sex development and then performed NGS. We tested the targeted capture using a group of patients who had already received a genetic diagnosis (n = 7) and an additional group where the genetic cause was unknown (n = 5). We confirmed the genetic diagnosis in 100% of the samples from patients where we already knew the molecular cause of the disorder. Importantly, several of these diagnoses had previously been made only on a research basis because only a few DSD genes are available for clinical testing in Clinical Laboratory Improvement Amendments–accredited labs. Furthermore, we identified a molecular cause in two of the five patients without a previously identified genetic cause. Although this was a small study, it points to the efficacy of testing a large panel of genes in generating a genetic diagnosis.

Although we piloted the targeted capture array for DSDs, we now believe that WES is currently the most effective test for genetic diagnosis of DSDs. As new genes are identified, adding them to a targeted capture panel would require developing additional capture reagents, and the test would have to be continually revalidated to ensure analytic validity. Part of the rationale for a targeted capture panel was to ensure that the costs remain low by maximizing the amount of sample pooling for the sequencing portion of the test. However, costs associated with NGS have been falling rapidly, whereas the cost of capture has remained relatively constant. Thus, it is more economical to use WES with standard capture kits.

THE FUTURE OF GENETIC DIAGNOSIS OF DISORDERS OF SEX DEVELOPMENT

When a patient presents in a clinic with a genital malformation or phenotype that does not match the chromosomal sex, the current trend of care is for the physician to search for additional phenotypic information using metabolic and endocrine testing, imaging studies (including ultrasounds and MRI), and genetic analysis. CMAs to detect chromosomal abnormalities are available clinically and can dramatically assist diagnosis when CNVs are detected in regions with known DSD genes. However, this method does not offer clear diagnostic help when CNVs are found in regions of unknown involvement with DSDs. Furthermore, reporting requirements mean that CNVs smaller than 50 kb are unlikely to be included in a clinical lab report. The costs for such tests vary widely by the type of test and institution, but a karyotype costs between $500 and $1,000, CMA analysis costs approximately $1,500, and the endocrine and imaging studies can cost far more. From the array of testing results, the clinician may suspect the involvement of a particular gene associated with sex determination. Although we now know of many genes involved in sex determination, only a limited number are available for clinical testing, and a single gene sequence can cost up to $1,500, depending on the length and complexity of the target. Therefore, the current standard for genetic diagnosis of DSDs is limited to genotyping one or two genes chosen as likely candidates based on disease phenotype. Because of this narrow scope and the exclusion of unknown genes, large numbers of patients (perhaps still the majority) do not receive a clinical molecular diagnosis. This extensive testing is also time consuming, invasive, and costly, which adds stress for patients and their families.

We propose a shift in the diagnostic approach to DSDs to use WES as a first-line clinical test, which will lead to faster and more accurate clinical and genetic diagnosis (Figure 1). At the University of California, Los Angeles (UCLA), the WES test can be ordered in two ways. When only a proband sample is available, we use a gene list approach in which we analyze the sequence data specifically for variants in known DSD genes. We have generated a list of well-annotated genes involved in both sex determination and differentiation (Table 1) as well as a secondary list of genes that either are more loosely associated with sexual development [e.g., the OMIM (Online Mendelian Inheritance of Man) description contains the word sex] or have data only from animal models. This allows for the rapid identification of any variants in known DSD genes in an individual sample, but when no variants are identified from one of these gene lists, this approach does not allow for any further clinical analysis and would generate a negative clinical report.

Figure 1.

Figure 1

Suggested clinical testing for genetic diagnosis of disorders of sex development (DSDs).

Table 1.

Primary gene list for whole-exome variant analysis of disorders of sex development (DSDs)

Gene name Alternative gene name(s) Exome coverage Associated condition(s)
Genes associated with sex determination (e.g., gonadal dysgenesis, testicular DSD, and ovotesticular DSD)
RSPO1 RSPONDIN 100% 46,XX DSD and palmoplantar hyperkeratosis
SOX9 SRA1 100% 46,XX DSD and campomelic dysplasia
SRY TDF 100% 46,XX testicular DSD and 46,XY ovarian DSD
CBX2 CDCA6 99% 46,XY DSD
NR0B1 DAX1/AHCH 98% 46,XY DSD
NR5A1 SF1 97% 46,XY DSD and 46,XX premature ovarian failure
WWOX 95% 46,XY DSD
DMRT1 DMT1 93% 46,XY gonadal dysgenesis
WNT4 92% 46,XX DSD
MAP3K1 MEKK 89% 46,XY gonadal dysgenesis
DHH HHG 85% 46,XY partial or complete gonadal dysgenesis
LHX1 85% Mayer-Rokitansky-Küster-Hauser syndrome
SOX3 PHP 78% 46,XX and 46,XY DSD
WT1 AWT1/WAGR 77% WAGR (Wilms’s tumor, aniridia, genital anomalies, and mental retardation)
DMRT2 76% 46,XY gonadal dysgenesis
GATA4 64% 46,XY ambiguous genitalia or gonadal dysgenesis
AMH MIS 59% Persistent Müllerian duct syndrome
Genes associated with differentiation (e.g., steroid synthesis/receptors)
AKR1C4 3-alpha-HSD/C11/CDR/DD4/HAKRA 100% 46,XY DSD
AMHR2 MISR2 100% Persistent Müllerian duct syndrome
ATRX RAD54 100% Alpha-thalassemia X-linked intellectual disability syndrome
CYP11A1 P450SCC 100% Congenital adrenal hyperplasia
CYP17A1 100% 17-Alpha-hydroxylase-deficient congenital adrenal hyperplasia
FGFR2 100% Apert syndrome
HSD17B3 SDR12C2 100% 17-Beta-hydroxysteroid dehydrogenase III deficiency
HSD3B2 SDR11E2 100% 3-Beta-hydroxysteroid dehydrogenase–deficient congenital adrenal hyperplasia
POR 100% Cytochrome P450 oxidoreductase deficiency
SRD5A2 100% Steroid 5-alpha-reductase deficiency
STAR StAR/STARD1 100% Cholesterol desmolase–deficient congenital adrenal hyperplasia
AR AIS 95% Complete or partial androgen insensitivity syndrome
LHCGR LCGR/LGR2/LHR/ULG5 92% Leydig cell hypoplasia
AKR1C2 BABP/DD/DD2/HAKRD/MCDR2 91% 46,XY DSD
CYP21A2 CA21H/CAH1/CPS1 79% 21-Hydroxylase-deficient congenital adrenal hyperplasia
FOXL2 BPES 79% Blepharophimosis, ptosis, and epicanthus inversus
MAMLD1 CG1/F18/CXORF6 69% Hypospadias
ARX CT121/EIEE1/ISSX 50% X-linked lissencephaly with ambiguous genitalia
Genes found to be central causes of hypogonadism
ARL6 BBS3 100% Bardet-Biedl syndrome
BBS2 100% Bardet-Biedl syndrome
BBS5 100% Bardet-Biedl syndrome
BBS7 BBS2L1/FLJ10715 100% Bardet-Biedl syndrome
BBS9 B1/PTHB1 100% Bardet-Biedl syndrome
BBS10 FLJ23560 100% Bardet-Biedl syndrome
BBS12 FLJ35630/FLJ41559 100% Bardet-Biedl syndrome
CHD7 FLJ20357/FLJ20361/KIAA1416 100% Kallmann syndrome (isolated GnRH deficiency with anosmia), normosmic isolated GnRH deficiency, and CHARGE syndrome
GNRH1 GNRH/GRH/LHRH 100% Isolated abnormality in GnRH secretion or response
GNRHR LHRHR 100% Isolated abnormality in GnRH secretion or response
HESX1 ANF/RPX 100% Combined pituitary hormone deficiency
HFE HLA-H 100% Hemochromatosis
LEP 100% Morbid obesity
MKKS BBS6 100% Bardet-Biedl syndrome and McKusick-Kaufman syndrome
PROKR2 GPR73b/GPRg2/PKR2 100% Kallmann sydrome (isolated GnRH deficiency with anosmia) and normosmic isolated GnRH deficiency
PROP1 100% Combined pituitary hormone deficiency
TAC3 NKB/ZNEUROK1 100% Isolated abnormality in GnRH secretion or response
TACR3 Neurokinin beta receptor/NK3R 100% Isolated abnormality in GnRH secretion or response
TRIM32 BBS11 100% Bardet-Biedl syndrome
TTC8 BBS8 100% Bardet-Biedl syndrome and autosomal recessive retinitis pigmentosa
BBS1 99% Bardet-Biedl syndrome
BBS4 99% Bardet-Biedl syndrome
FGFR1 BFGFR/CD331/CEK/FLG 98% Kallmann syndrome (isolated GnRH deficiency with anosmia), normosmic isolated GnRH deficiency, and Pfeiffer syndrome
PCSK1 PC1/PC3/SPC3 98% Morbid obesity
KAL1 Anosmin-1/KALIG-1 95% Kallmann syndrome (isolated GnRH deficiency with anosmia)
LEPR CD295/OBR 95% Morbid obesity
LHX3 87% Combined pituitary hormone deficiency
FGF8 AIGF 79% Kallmann syndrome (isolated GnRH deficiency with anosmia) and normosmic isolated GnRH deficiency
PROK2 BV8/KAL4/MIT1/PK2 76% Kallmann syndrome (isolated GnRH deficiency with anosmia) and normosmic isolated GnRH deficiency
KISS1R AXOR12/HOT7T175 54% Isolated abnormality in GnRH secretion or response

Our preferred method is to use a trio analysis in which we sequence the patient and both unaffected parents. The reason for doing this is that each individual exome has on average 20,000 variants compared with the reference sequence (1), but the majority of these variants are inherited; thus, by having the parents’ sequences we can easily define any de novo heterozygous variants in addition to any homozygous or compound heterozygous variants, and in most cases we can discount inherited heterozygous variants from unaffected parents. In some cases, the trio approach identifies variants that are likely causative but have not previously been associated with DSDs. One of the greatest challenges of WES is the interpretation and clinical reporting of genetic variants, including variants of uncertain clinical significance and incidental or secondary findings unrelated to the primary condition. One answer that we have developed at UCLA is the establishment of a Genomic Data Board to discuss each case before it is reported. These regular meetings are attended by a number of clinical geneticists, clinicians, genetic counselors, other investigators, and (when possible) the ordering physician. This group discusses the evidence that novel variants are causative and makes a determination on the level of certainty for such variants to be included in the clinical report (Table 2). Given the paucity of our knowledge regarding the genetics of sex determination, such a trio approach not only will be invaluable for diagnostic purposes but also will aid new gene discovery, which will help in diagnosis of future patients.

Table 2.

Current reporting categories of genetic variants produced by whole-exome sequencing at UCLA

Variant category Reportable
Children Adults
Variants in genes related to the condition of interest
All variants (including those of unknown clinical significance) in genes known to be associated with the condition of interest Yes Yes
Known variants in genes suspected to be causally related to the condition of interest Yes Yes
Incidental/secondary findings
Known variants in genes associated with predisposition to future disease for which treatment/prevention is available (e.g., MSH2 for Lynch syndrome and BRCA1 for breast cancer) Yesa Yes
Variants indicating significant potential for coexisting condition for which treatment/prevention is available (e.g., ATP7B for Wilson’s disease) Yes Yes
Variants in high-penetrance genes associated with predisposition to future disease with no effective treatment or prevention (e.g., ATXN1 for spinocerebellar ataxia) No Yes
Variants indicating carrier status for autosomal recessive or X-linked conditionsb No Yes
Variants for which association or relative risk for future disease is low or unknown No No
Nonpaternityc No No
a

Only in cases where treatment/prevention in childhood is recommended.

b

Especially those for which general screening is already recommended.

c

When parental DNA is tested in a trio analysis.

In this review we have focused on the genetic diagnosis of DSDs caused by problems with sex determination because these are particularly difficult to diagnose genetically. DSDs caused by altered endocrine function are often more easily diagnosed from additional clinical features, such as salt wasting in congenital adrenal hyperplasia (CAH). Diagnosis of these disorders benefits from rapid metabolic testing, and genetic testing for a well-known candidate gene [e.g., CYP21A2 (encoding 21-hydroxylase) for CAH] is often indicated. However, there is often significant genetic pleiotropy in DSDs caused by disrupted endocrine function, and when initial genetic testing does not confirm the diagnosis, WES is likely the most efficient next step, particularly when parental samples are available for a trio analysis.

There are many advantages to using WES as a first-line clinical test. It is currently the most effective method to screen all the known genes involved in DSDs and, in the case of a trio analysis, may suggest additional causative variants; in many cases, it may therefore at least provide a differential diagnosis. From the practitioner’s perspective, WES has many benefits. One is to reach a definitive clinical diagnosis, providing prognostic information and an aid to monitoring for any associated risks associated with the condition, such as the risk of developing gonadal tumors. Another is to allow clinicians to better classify the patient’s condition, providing a guide to its natural history and helping decision making. From the patient perspective, a comprehensive genetic test is likely to lead to a shortcut to the “diagnostic odyssey” so often experienced by families of DSD patients (5). Many DSDs are identified in young children, so genetic counseling for future reproductive decisions is an important part of the care the family receives. Anecdotally, we and others have found that families who are actively pursuing a genetic diagnosis experience a cathartic effect when such a diagnosis is reached, because they feel that the basis for the condition has finally been explained and that they have a clearer path forward even when no additional treatment options are revealed.

We believe that WES is currently the most effective test for genetic diagnosis of DSDs, but there are downsides. Turnaround time is currently 12–16 weeks at most institutions offering the test, owing both to technical considerations and to the volume of data that needs to be analyzed to reach a conclusion in each case. In cases when an answer is needed in a short time, such as the chromosomal complement of a newborn presenting with ambiguous genitalia, a karyotype can be obtained within 48 hours. There are also cases where rapid metabolic testing is required—again, for example, in salt wasting in CAH. Additionally, WES does not capture 100% of the exons, so causal variants could be missed owing to poor or no coverage of the relevant exon. WES samples only the coding portion of the genome and therefore cannot detect changes in the noncoding portion. Despite estimates that more than 85% of Mendelian genetic traits are within the coding regions or splice sites (28), recent projects such as ENCODE (Encyclopedia of DNA Elements) are showing that noncoding DNA has far more active roles than was previously thought (31). In fact, it is now suggested that WES sequencing will be able to detect a diagnostic variant in only 50% of cases. Despite these shortcomings, WES remains the best available first-line genetic test available for clinical diagnosis of DSDs (75, 108).

FUTURE RESEARCH AND GENOMIC TRANSLATION DIRECTIONS

Use of Experimental Animal Models

Since the discovery of SRY as the testis-determining factor, there has been extensive research using mouse models to identify novel genes required for sex determination. Expression analysis of the early developing testes and ovaries in mice showed that many transcripts are differentially expressed at the earliest stages of gonadal determination (17, 20, 81). These studies confirmed that many genes are involved in the correct development of functional testes and ovaries; however, the identified genes have not been associated with human DSDs. An N-ethyl-N-nitrosurea mutagenesis screen selecting for male mice with micropenis identified an autosomal recessive mutation in the gene encoding gonadotropin-releasing hormone receptor (Gnrhr) (88). This is a useful mouse model for the study of the known variants in human GNRHR that are involved in hypogonadotropic hypogonadism, but this method has not revealed any novel genes involved in human DSDs. There are several genes that we now know to be important in human sex determination that were initially discovered in animal models. These have been identified mostly by targeted analysis of individual factors that have roles in other processes, such as SF-1, or by analysis of complex genetic crosses, such as the sex-reversal phenotype when the Y chromosome from the POSA (Ypos) mouse strain is crossed onto the C57BL/6 inbred genetic background (7). Overall, these findings suggest that mouse models are useful for elucidating the mechanism of action of genes identified in human DSDs but are not the best system for identifying novel genetic causes of DSDs.

Mutational Load

We may be reaching the limits of understanding complex disease by looking only for single-gene associations. In many cases, complex phenotypes are likely due to the sum of deleterious variants in an individual (44, 127). Over the past few years, several disease groups have been recognized from what were previously thought to be individual diseases. For instance, the RASopathies are germline disorders of genes involved in the canonical Ras-Raf-MAPK pathway and include Noonan syndrome and neurofibromatosis type I (111). Bardet-Biedl syndrome, which is associated with anomalies in genital development, is now recognized to be a ciliopathy, a group of disorders in which the cellular cilia are disrupted (126). In these conditions, variants in multiple genes in the same pathway give rise to overlapping diseases, and variants in single genes are associated with more than one disease. This suggests that disruption of pathways or cellular “modules” may be a common mechanism of disrupted development processes such as those observed in DSDs. The developmental decision of the bipotential gonad to differentiate to become a testis or ovary is controlled by small changes in expression in the network of molecules expressed in the undifferentiated gonad. When SRY is present, the balance of the network tips toward the male fate; when SRY is absent, it tips toward the female fate (79). Most of the genes known to be involved in human sex determination have protein products that interact to generate the bipotential gonad, and variants in many of them are already known to disrupt sex determination (32). Network analysis methods have been created to identify genetic interactions, termed expression quantitative trait loci (eQTLs), during development (37, 50). A recent analysis compared the eQTLs of the C57BL/6 mouse, which is susceptible to sex reversal, with those of the 129S1 line, which is resistant to it. The authors identified expression networks associated with either male or female development and used the position of a gene within the network to predict its function (79). This type of analysis in human DSD samples could prove fruitful in identifying new combinations of variants that contribute to sex determination.

CONCLUSION

It has been a long journey from the slow-moving discovery of the testis-determining factor SRY to the fast-paced advances brought by the new genomic technologies. Many new genes involved in sex determination have been identified, and the path to a diagnosis for patients with DSDs has been made considerably easier. The field of sexual development as a whole has grown up. DSDs were once viewed as rare occurrences with controversial and idiosyncratic management, vocal activists, and little medical knowledge. Current understanding has resulted in DSD diagnosis including a greater number of phenotypes, including any developmental variation of the reproductive tract or sex chromosome aneuploidy. Clinical practice in the treatment of DSDs is becoming more evidence based (with efforts to standardize diagnoses and phenotypes), more multidisciplinary (with clear guidelines about team approaches), and more consensual (with the inclusion of advocacy groups in clinical and research efforts). The National Institutes of Health recently funded a large multisite, multidisciplinary network to standardize data elements related to DSDs, including genetic, phenotypic, and psychosocial findings. This project will result in a searchable data bank to be used as an analytical and reporting platform for generating best clinical practices for the management of DSDs. The advances in genomic analysis that have allowed well-defined categorizations of patients with DSDs and therefore clear, evidence-driven outcome studies have been a catalyst in this process.

Genetic diagnosis of DSDs has become the first step on which families can build a future and address their many anxious questions. We still face challenges, starting with a less-than-perfect diagnostic ability even with the most sophisticated genome-wide techniques. Whole-genome methods and network analyses of multiple variants may provide better answers. The influence of environmental factors on sex development, which has started to be clearly identified (56), is likely to become an even greater issue. Translating both the genetic and the epigenetic information to the bedside is the future path for improving the health and welfare of patients with DSDs.

Acknowledgments

The authors are partially funded by the DSD Translational Research Network (National Institutes of Health grant 1 R01 HD068138).

Glossary

DSD

disorder of sex development

NGS

next-generation sequencing

AHC

adrenal hypoplasia congenita

FISH

fluorescence in situ hybridization

AMH

anti-Müllerian hormone

CMA

chromosomal microarray

CNV

copy-number variant

CGH

comparative genomic hybridization

SNP

single-nucleotide polymorphism

SNV

single-nucleotide variant

WES

whole-exome sequencing

CAH

congenital adrenal hyperplasia

Footnotes

DISCLOSURE STATEMENT

The authors are not aware of any affiliations, memberships, funding, or financial holdings that might be perceived as affecting the objectivity of this review.

Contributor Information

Ruth M. Baxter, Email: rbaxter@mednet.ucla.edu.

Eric Vilain, Email: evilain@ucla.edu.

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