Abstract
Histone lysine methyltransferases (KMTs) and demethylases (KDMs) underpin gene regulation. Here we demonstrate that variants causing haploinsufficiency of KMTs and KDMs are frequently encountered in individuals with developmental disorders. Using a combination of human variation databases and existing animal models, we determine 22 KMTs and KDMs as additional candidates for dominantly inherited developmental disorders. We show that KMTs and KDMs that are associated with, or are candidates for, dominant developmental disorders tend to have a higher level of transcription, longer canonical transcripts, more interactors, and a higher number and more types of post-translational modifications than other KMT and KDMs. We provide evidence to firmly associate KMT2C, ASH1L, and KMT5B haploinsufficiency with dominant developmental disorders. Whereas KMT2C or ASH1L haploinsufficiency results in a predominantly neurodevelopmental phenotype with occasional physical anomalies, KMT5B mutations cause an overgrowth syndrome with intellectual disability. We further expand the phenotypic spectrum of KMT2B-related disorders and show that some individuals can have severe developmental delay without dystonia at least until mid-childhood. Additionally, we describe a recessive histone lysine-methylation defect caused by homozygous or compound heterozygous KDM5B variants and resulting in a recognizable syndrome with developmental delay, facial dysmorphism, and camptodactyly. Collectively, these results emphasize the significance of histone lysine methylation in normal human development and the importance of this process in human developmental disorders. Our results demonstrate that systematic clinically oriented pathway-based analysis of genomic data can accelerate the discovery of rare genetic disorders.
Keywords: Developmental disorders, histone lysine methyltransferase, histone lysine demethylase, chromatin remodeling, KMT2B, KMT2C, KMT5B, ASH1L, KDM5B
Main Text
Post-translational methylation and demethylation of lysine residues on histone tails is a key dynamic chromatin modification that is mediated by specific methyltransferases (KMTs) and demethylases (KDMs) and underpins gene regulation and several cellular processes.1, 2 Twenty-seven KMT- and 24 KDM-encoding genes, classified into eight groups each, are known (Table S1).3 Of these, heterozygous variants in seven KMT and four KDM genes are associated with autosomal and X-linked dominant inherited human developmental disorders (DDs) in the Online Mendelian Inheritance in Man database (OMIM) (Table S1).4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18
We reviewed published disease-causing variants in KMTs and KDMs in the Human Gene Mutation Database19 and deduced that ∼75% of these were predicted to be heterozygous protein-truncating variants (PTVs), suggesting that haploinsufficiency is the predominant mechanism for the associated diseases (Figure 1A) (Table S2). This is consistent with previous studies that have shown a high prevalence of de novo (DN) PTVs in dominant DDs.20, 21, 22 We reviewed phenotypes of the available mouse models for KMT and KDM orthologs (Table S1)23 and found that heterozygous mouse models for six of the 11 known dominant DD-associated KMTs and KDMs and 12 of the 40 of remaining KMTs and KDMs demonstrate anomalies. We reviewed phenotypes of the available zebrafish knockdown (KD) models for KMT and KDM orthologs (Table S1).24 Anomalies were observed in KD of seven of the 11 known dominant DD-associated KMTs and KDMs and 18 of the 40 of remaining KMTs and KDMs. The human mutational landscape of KMTs and KDMs and the information from animal models led us to hypothesize that germline heterozygous PTVs in additional KMTs and KDMs might underlie as-yet-unknown DDs.
Figure 1.
Variants in Histone Lysine Methyltransferases and Demethylases Are Frequent in Developmental Disorders and Haploinsufficiency Is Their Predominant Mechanism
(A) The bar graph shows the proportions of postulated disease causing published heterozygous protein-truncating variants (PTVs) (in red) and protein altering variants (PAVs) (in blue) in known dominant developmental disorder (DD)-associated KMTs and KDMs.
(B) A plot of the probability of being LoF intolerant (pLI) for all KMTs and KDMs. Red dots represent the pLI scores for known dominant DD-associated KMTs and KDMs, orange dots depict these scores from KMTs and KDMs that are candidates for involvement in dominant DDs, and green dots display the pLI scores for non-candidate KMT and KDM genes. The dotted line depicts the cut-off for defining the candidate genes (pLI > 0.9).
(C) Proportion of canonical transcripts of known DD KMTs and KDMs from the total human exome (left donut graph), proportion of individuals with pathogenic variants in known KMT and KDM genes from the Deciphering Developmental Disorders (DDD) Study cohort (central donut graph), proportion of pathogenic, benign variants or variants of uncertain significance (VUS) in known KMT and KDM genes, and the percentage of variants in other KMTs and KDMs from the total number of KMT and KDM variants seen in the DDD cohort (right donut graph). The Venn diagram shows the distribution of the 120 rare high-quality variants that were detected in the DDD cohort in KMTs and KDMs not yet firmly associated with DDs.
The green circle and the ellipse represent the number of variants according to their inheritance, the blue circle and the ellipse represent the number of variants according to their predicted protein effect, and the red circle and the ellipse represent the number of variants detected in candidate genes for dominant DDs and the other genes.
For each of the 51 KMTs and KDMs, we compiled selected indices of predicted intolerance to loss-of-function (LoF) pathogenic variants (Table S1). The pLI (probability of being LoF intolerant) scores obtained from the ExAC Browser25 were found to be within a narrow range of 0.99–1.0 for KMTs and KDMs already linked with dominant human DDs, suggesting a high reliability. The ranges of the residual variation intolerance score (0.06–51.92) and haploinsufficiency index (3.06–62.96) scores for these genes were broad.26, 27 We used a pLI score25 cut-off of >0.9 to determine an additional 11 KMTs and 11 KDMs as candidates for as-yet-unknown dominant human DDs (Figure 1B).
We examined the data from 4,293 trios who underwent exome sequencing as part of the Deciphering Developmental Disorders (DDD) study.22 All these procedures were in accordance with the ethical standards (Multi-Centre Research Ethics Committee approval 10/H0305/83 and GEN/284/12), and all participants provided informed consent. The previously described pipeline was used for identifying rare high-quality and possibly deleterious variants in our list of 51 KMTs and KDMs. Rare variants were defined as those with minor allele frequencies of <0.001 (for de novo, X-linked, and dominant heterozygous inheritances) or <0.01 (for compound heterozygous and recessive homozygous inheritances) in the Exome Aggregation Consortium25 (ExAC, Version 0.3.1), the 1000 Genomes Project (1K-G),28 Ensembl version 80-GRCh37, the NHLBI-GO Exome Sequencing Project (ESP),29 and UK10K.30 High-quality variants were defined as those with a read depth of >20 and a genotype quality score of >20. Truncating or missense variants in canonical transcripts were defined as possibly deleterious. In total, we identified 218 probands with high-quality rare variants in the 51 KMTs and KDMs (Figure S1 and Tables S3, S4, and S5). Of these, 65 affected individuals (∼1.5% of all the probands) had likely causal monoallelic LoF variants (Figure 1C and Table S3) in the 11 KMTs and KDMs already associated with dominant DDs. Of note, the combined coding size of the canonical transcripts of these 11 genes is ∼0.3% out of the total human exome size (0.092/30 Mb)31(Figure 1C). Hence, this is an important group of genes in rare undiagnosed developmental disorders. Of these 218 affected individuals, 52 had likely benign variants or variants of uncertain significance in these 11 KMTs and KDMs (Figure 1C) (Table S4).22, 31
One hundred and two of 218 probands had 120 rare high-quality-call genetic variants in KMTs and KDMs not yet firmly associated with DDs (Table S5). Of these, 83 variants, including nine PTVs and 16 DN protein-altering variants, were in our 22 candidates for dominant DDs (PAV) (Table S5). A chi-square test revealed a 1.87-fold enrichment (95% confidence interval [CI] = 0.93–3.76; p = 0.072) in the frequency of PTVs in these 22 genes in our cohort against the data from the ExAC Browser25 (Table S6). Similarly, a 4.85-fold enrichment of DN PAVs (95% CI = 1.78–13.26; p = 0.00065) was observed in these 22 genes in our cohort against the entries marked as “controls” in “denovo-db”32 (Table S6).This observation supported our hypothesis that germline heterozygous PTVs in additional KMTs and KDMs might underlie as-yet-unknown dominant DDs.
We then focused on DN PTVs in our curated list of candidate KMTs for dominant DD because these variants are highly likely to be causal (equivalent to category 1 in the American College of Medical Genetics and Genomics guidelines33). We interrogated the vcf. files of each trio through VarSeq version 1.3.4 (Golden Helix) to ensure that the probands did not carry additional causal pathogenic variants in other genes. Collectively, we identified seven variants that fulfilled these criteria. (Table 1) (Table S5). Specifically, these included two DN PTVs each in ASH1L (MIM: 607999), KMT2C (MIM: 606833), and KMT5B (formerly known as SUV420H1) (MIM: 610881) and one in KMT2B (MIM: 606834) (Figure 2). A chi-square test revealed a 5.51-fold enrichment (95% confidence interval [CI] = 2.3–13.2; p = 0.0000165) in the frequency of PTVs in these four genes in our cohort against the data from ExAC.25 Fisher’s exact test revealed a 34.87-fold enrichment of DN PAVs (95% CI = 2.0545–591.9943; p = 0.000039) in these four genes in our cohort against the entries marked as “controls” in “denovo-db”32, further supporting a high likelihood of causality. Where possible, variants were confirmed by Sanger sequencing (Table S8 and Figure S2). Importantly, rare variants in these genes have been previously reported in several case-control cohorts of individuals with autism, ID, bipolar disorder, and congenital heart anomalies, but their causality has not been confirmed, and the associated phenotypes have not been fully described.20, 22, 34, 35, 36, 37, 38, 39, 40 Detailed phenotype information of the affected individuals was, therefore, collected (Table 1) (Figure 3) (Supplemental Note: case reports).
Table 1.
Clinical and Genetic Characteristics of Affected Individuals with Candidate Variants in Lysine Methyltransferases and Demethylases
| Gene | Sex (Age at Study) | Individual Number | Genomic Position (hg19) | cDNAa(Protein Consequence) or Deletion Size | Inheritance or Zygosity | Perinatal History | DD or ID | Neuropsychiatric Disorders and CNS Anomalies | Malformations and Anomalies | Height (SD)/ Weight (SD)/ OFC (SD) | CD | Other Medical Issues |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| KMT2B | F (11 y) | 1 | 19:36212057 | c.1808dupC p.(Leu604Profs∗72) | DN Het | IUGR and feeding difficulties | severe | abnormal gait and behavioral problems | PDA, long & narrow hands, broad halluces | SS (−2.7)/ LW (−2.9) Mi (−3.34) |
yes | nystagmus, gastrostomy, urinary incontinence, constipation and growth hormone deficiency |
| KMT2C | F (17 y) | 2 | 7:151884849 | c.4744G>T p.(Gly1582∗) | DN Het | no | severe | elective mutism | duplicated right thumb and left preauricular tag | SS (−2.1) LW (−2.74) Mi (−2.42) |
yes | hearing loss and delayed puberty |
| F (4 y) | 3 | 7:151873688-151873689 | c.8849_8850delAT p.(His2950Argfs∗17) | DN Het | hydrocephalus and Dandy-Walker anomaly | severe | hydrocephalus and hypoplasia of cerebellar vermis | no | SS (−2) LW (−2) Mi (−1.97) |
yes | no | |
| F (5 y) | 4 | 7:151836279 | c.14526dupG p.(Pro4843Alafs∗12) | DN Het | no | severe (motor delay was mild) | autistic traits, developmental regression, insensitivity to pain and abnormal gait | no | N (0.4) N (0.18) N (−1) |
yes | constipation | |
| ASH1L | F (13 y) | 5 | 1:155449628 | c.3033delA p.(Val1014Cysfs∗24) | DN Het | feeding difficulties | mild | behavioral problems | bicuspid AV, VSD and PFO | N (0.2) N (0.82) N (1.16) |
yes | hypermetropia, precocious puberty and hypermobility |
| M (9 y) | 6 | 1:155322602 | c.7276C>T p.(Arg2426∗) | DN Het | feeding difficulties and hydronephrosis | severe | seizures, autistic traits and hypotonia. | cryptorchidism and inguinal hernia | N (1.6) O (2.33) N (1.36) |
yes | hypermetropia, hyperacusis and hypermobility | |
| M (7 y) | 7 | 1:155271366-155804269 | 532.9 Kb | DN | no | severe | behavioral problems | cryptorchidism and blocked nasolacrimal duct | N (−0.59 SD) N (−0.44 SD) Mi (1.72SD) |
yes | constipation | |
| KMT5B | F (13 y) | 8 | 11:67953337 | c.219delC p.(Ala74Profs∗10) | DN Het | no | moderate | autistic traits | no | TS (2.91) N (0.9) Ma (4.43) |
yes | hypermobility |
| M (19 y) | 9 | 11:67941365 | c.559C>T p.(Arg187∗) |
DN Het | no | severe | seizures,hypotonia and autistic traits | no | N (0.74) N (0.9) N (1.93) |
yes | no | |
| M (14 y) | 10 | 11:67888021-68287033 | 399.01 Kb | DN | no | mild | seizures, enlarged right ventricle and white matter signal alterations | no | N (0.63) Ma (2) |
yes | strabismus and scoliosis | |
| M (16 y) | 11 | 11:67550395-68389391 | 839 Kb | DN | no | mild to moderate | no | cryptorchidism, pectus excavatum, and overlapping 2nd and 3rd toes | N (1.68) N (0.24) N (1.87) |
yes | strabismus, diabetes mellitus and hypermobility | |
| KDM5B | M (18 y) | 12 | 1:202700104 | c.4109T>G p.(Leu1370∗) |
Mat & Pat Hom |
feeding difficulties | severe | abnormal gait and agenesis of corpus callosum | inguinal hernia and camptodactyly of 4th and 5th fingers | N (−0.23) LW (−1.52) N (−1.66) |
yes | myopia and astigmatism |
| M (10 y) | 13 | 1:202711635 1:202731850 |
c.2475-2A>G; c.895C>T (p.Arg299Ter) | Mat & Pat CoHet |
no | moderate | no | dolichocephaly and supernumerary nipple | N (0.98) N (0.51) N (0.26) |
no | no | |
| M (11 y) | 14 | 1:202702532 1:202736143 |
c.3906delC, (p.Asn1302Lysfs∗45) c.622dupT (p.Tyr208Leufs∗5) | Mat & Pat Het |
feeding difficulties, | moderate | no | atrial septal defect, cryptorchidism, hypospadias and camptodactyly of 4th and 5th fingers | N (−0.09 SD) N (−1.05) |
yes | myopia and strabismus |
Abbreviations: AV = aortic valve; CNS = central nervous system; CD = craniofacial dysmorphisms; CoHet = compound heterozygous; DD = developmental delay; DN = de novo; F = female; Het = heterozygous; Hom = homozygous; ID = intellectual disability; IUGR = intra-uterine growth retardation; LW = low weight; M = male; Ma = macrocephaly; mat = maternal; Mi = microcephaly; N = normal/not present; O = overweight; PDA = patent ductus arteriosus; OFC = occipitofrontal circumference; PFO = patent foramen ovale; SD = standard deviation; SS = short stature; TS = tall stature; VSD = ventricular septal defect; y = years.
The transcript IDs are KMT2BNM_014727.2; KMT2CNM_170606.2; ASH1L ENST00000368346.7; KMT5BNM_017635.4; and KDM5BNM_001314042.1.
Figure 2.
Variants of Interest Identified in This Study
Locations of selected plausible candidate variants identified in this study are shown. Candidate genes for dominant DDs with DN PTVs are indicated in red font, and the other genes are in black font. The de novo PTVs in candidate KMTs and KDMs for dominant DD genes (KMT2B, KMT2C, ASH1L and KMT5B) (n = 8) are highly likely to be causal. We have also shown de novo protein-altering variants (PAVs) in candidate KMTs and KDMs for dominant DD genes (KMT2B, KMT2C, DOT1L, KDM3A, PRDM2, SETDB1) (n = 9) with limited evidence for causality at present (apart from those in KMT2B, which have been shown to cause early-onset dystonia). Inherited PTVs in candidate KMTs and KDMs (KDM3A and PRDM2) (n = 2) are shown. PTVs in these genes might cause non-penetrant phenotypes, or this might indicate that these genes tolerate haploinsufficiency, unlike what is suggested by their pLI scores. De novo PTVs in non-candidate KMTs and KDMs for dominant DDs (KDM5B and SETD1B) (n = 4) are also shown. These PTVs could be coincidental or might be acting as phenotype modifiers, or they could be non-penetrant in some individuals in the general population. Homozygous and compound heterozygous PTVs in KDM5B (n = 5) show that recessive histone-tail lysine-methylation disorders also exist.
Figure 3.
Photographs from Individuals with Truncating Variants or Deletions of KMT2B, KMT2C, KMT5B, and KDM5B
The numbers on each picture denote the corresponding individual in Table 1. Individual 1, with a KMT2B de novo PTV, has spare scalp hair, a large mouth, and no ear lobes; individual 2, with a KMT2C de novo PTV, has marked infra-orbital creases, down-slanting palpebral fissures, and a duplicated right thumb. Individual 3, with a KMT2C de novo PTV, has marked plagiocephaly and bilateral marked bulging just below the temporal region. Individual 8, with a KMT5B de novo PTV, has a broad and large forehead that has persisted over time. Individual 9, with a KMT5B de novo PTV, has a prominent forehead, thick ear lobes,a broad philtrum, an open mouth appearance, and synophrys, which is more noticeable in the more recent photograph. Individual 11, with a de novo KMT5B deletion, has a long and oval face, ptosis, prominent eyes, protruded ears, an open mouth, thick lips, and overlapping third and second toes. Individual 12, with a homozygous KDM5B PTV, has down-slanting palpebral fissures, a slightly bulbous nasal tip, low-hanging columella, a smooth philtrum, and thin upper and lower lips. He has bilateral camptodactyly of the fourth and fifth fingers. Individual 14, with a compound heterozygous KDM5B PTV, has a prominent metopic region, a high nasal bridge, a bulbous nasal tip, a smooth philtrum, thin lips, and a triangular ear with an absent superior crux of helix. He has also mild camptodactyly of the fourth and fifth fingers.
Of note, we also detected non-truncating DN PAVs in other candidate KMTs and KDMs for dominant DDs (DOT1L, KDM3A, PRDM2, SETDB1); there is insufficient evidence for causality of PAVs in these genes at present. Additionally, we detected DN PTVs in non-candidate KMTs and KDMs for dominant DDs (KDM5B and SETD1B). PTVs in these genes could be coincidental, or they could be phenotype modifiers in some affected individuals, or they could be non-penetrant in some unaffected individuals in the general population. Finally, we detected PTVs in other candidate KMTs and KDMs for dominant DDs (KDM3A and PRDM2) inherited from a parent who did not share the proband’s phenotype. This observation suggests that these PTVs might have incomplete penetrance or that these genes are not haploinsufficiency intolerant, in contrast to the predictions of their pLI scores (Figure 2). Overall, further studies are needed if we are to determine the pathogenicity of heterozygous PAVs and PTVs in DOT1L, KDM3A, KDM5B, PRDM2, SETDB1, and SETD1B.
Next, we interrogated the data from >200 individuals from the CAUSES study of children with developmental disorders (see Web Resources) for potentially pathogenic variants in KMT2B, KMT2C, and KMT5B and identified one additional individual with a DN PTV in KMT2C (Table 1; Figure 2).
Copy-number variants (CNVs) can be informative for dissecting the molecular basis of genetic disorders.41, 42, 43 We therefore examined the DECIPHER database,44 with >41,800 individuals with CNVs, and identified 71 deletions encompassing one of the four genes—ASH1L, KMT2B, KMT2C, or KMT5B (Table S7). Where possible, we collected additional detailed phenotype information about the affected individuals (Table 1 and Figure 3) (Supplemental Note: case reports). Of note, we considered only individuals whose deletions did not include other possibly causal DD-related gene(s) for further analysis.
Collectively, we identified three individuals with DN KMT2C PTV and 41 deletions encompassing this gene (Table 1, Table S5, Table S7, and Figures 2 and 3). All affected individuals for whom detailed clinical information was available had severe developmental delay and ID (Table 1). KMT2C is a H3K4 methyltransferase45 that is highly expressed in the developing and adult human brain, specifically in the cerebellum.46, 47 It is interesting to note that individual 3 has hypoplasia of the cerebellar vermis. In mice, a homozygous Kmt2c inframe deletion of exons 25 and 26 results in prenatal and postnatal growth retardation and lethality in some embryos.48
We identified two individuals with ASH1L PTVs and five deletions encompassing this gene (Table 1, Tables S5 and S7, and Figure 2). All affected individuals for whom detailed clinical information was available, displayed variable degrees of ID with or without global developmental delay; seizures; hypotonia; and aberrant behavior (Table 1). ASH1L is a methyltransferase that catalyzes mono- and di-methylation of H3K36.49 ASH1L is highly expressed in both embryonic and adult human brains.46, 47 Injection of ash1a morpholinos in zebrafish led to a reduction in the number of neurons produced in the epiphysis.50 Heterozygous and homozygous knock-in mice expressing mutant Ash1l containing a short in-frame deletion within the catalytic SET domain display a range of skeletal anomalies.51 Hypomorphic mice, with an exon 1 Ash1l gene trap outside the catalytic SET domain, have reduced levels of normal protein and display impaired fertility.52 The heterozygous mice for a reporter-tagged deletion allele show impaired pupillary reflex and abnormal coat appearance.23
We identified two individuals with DN KMT5B PTVs and seven deletions encompassing this gene (Table 1, Tables S5 and S7, and Figures 2 and 3). All affected individuals for whom detailed clinical information was available had mild to moderate global developmental delay and ID; macrocephaly; tall stature; and similar facial dysmorphisms (Table 1). KMT5B is a H4K20 di- and tri-methyltransferase that promotes transcriptional repression.53 KMT5B is highly expressed in both embryonic and adult human brains.46, 47 The Kmt5b-null mice die at embryonic stages and have decreased body length and weight,54 whereas the heterozygous mice have decreased body weight and fat, as well as vertebral anomalies.23
We identified one DN heterozygous frameshift, three missense KMT2B variants, and 18 deletions encompassing this gene (Table 1, Table S5, Table S7, and Figure 2). All but one of these individuals were recently reported in a study identifying PTVs and deletions in this gene associated with childhood-onset dystonia 28 (MIM: 617284).55, 56 The only previously unreported individual in this cohort is a girl (Table 1) with a de novo p.Leu604Profs∗72 frameshift variant and severe global developmental delay and additional features (Figure 3). Importantly, in contrast with the previously described individuals, this girl did not show any evidence of dystonia by the age of 11 years, even with careful reverse phenotyping.57 Interestingly, some of the previously reported individuals had normal development.55, 56 Our findings broaden the phenotype of KMT2B variants and show that any combination of developmental delay and dystonia can result from heterozygous PTVs in this gene. KMT2B is highly expressed in both embryonic and adult human brains.46, 47 In adults, it is specifically highly expressed in pituitary, cerebellum, and bladder.46 Of note, the affected individual that we describe has growth hormone deficiency, abnormal gait, nystagmus, and urinary incontinence. The Kmt2b KO mice die before stage E11.5 and display growth retardation, neural-tube defects, pericardial effusion, abnormal heart looping, and head abnormalities, whereas the heterozygous mice exhibit fasting hyperinsulinemia, glucose intolerance, and fatty-liver disease.58, 59
Next, we used the UniProtKB, GTEx and BrainSpan databases46, 47, 60 to systematically explore the differences between the 33 KMTs and KDMs that are known to be involved in or are candidates for involvement in dominant DDs and the other 18 KMTs and KDMs in terms of their gene or protein attributes and expression patterns. Mann-Whitney tests were performed with an exact p value < 0.05 considered as significant. Candidate or known dominant DD KMTs and KDMs had longer canonical transcripts, a greater number of interactors, and a significantly higher number and types of post-translational modifications (adjusted for protein length) (Figure 4 and Tables S9 and S10).60 These distinctions are maintained independently for both KMTs and KDMs. This observation is consistent with the general properties of genes that are considered to be haploinsufficient (HI)27 and suggests that candidate or known dominant DD KMTs and KDMs are likely to be key players performing multiple roles in embryogenesis. Similarly, the expression of candidate or known dominant DD KDMs was found to be significantly higher in almost all fetal brain structures and adult human tissues than that of other KDMs (Table S12 and Table S14) (Figure 4F),46 which agrees with previous observations regarding HI genes.27 However, surprisingly we did not find a significant difference between the expression of the candidate or known dominant DD KMTs and other KMTs in most human tissues. Exceptions were certain brain areas where the candidate or known dominant DD KMTs are significantly highly expressed before the 10th week after conception (Table S11, Table S13, and Figure 4F).47 Further studies will be needed to confirm these unexpected findings. One possibility is that the KMTs that were classified in this study as not being candidates for dominant DDs may be candidates for adult-onset phenotypes. Alternatively, these results might reflect technical limitations, such as lack of cell-type level resolution, of large-scale gene expression experiments.
Figure 4.
Comparison of Gene and Protein Properties between KMTs and KDMs That Are Known to Be Dominant for DDs or Are Candidate Genes for DDs and other KMTs and KDMs
The comparisons were made with the data from UniProtKB, and a Mann-Whitney test in which an exact p value < 0.05 was considered to be significant was performed. The results are represented in dot plots as follows: (A) number of post-translational modifications (PTMs); (B) number of types of PTMs; (C) number of interactors; (D) length of canonical transcripts; (E) number of PTMs per 100 amino acids of canonical transcripts in KMTs and KDMs; and (F) the median reads per kilobase per million (RPKM) for candidate and non-candidate KMTs and KDMs in brain structures; significant differences across several stages are evident. Black (A–E) or colored (F) dots denote KMT and KDM genes that are known or are predicted to be candidates for dominant DDs. Unfilled dots (A–E) or colored triangles (F) denote KMT and KDM genes that are predicted not to be candidates for dominant DDs. The colors in (F) correspond to the legend for the brain structures provided in the figure. The longer horizontal lines in all the graphs represent the respective medians, the shorter horizontal lines indicate the inter-quartile ranges, and the p values are given at the top of each graph, where relevant.
Lastly, we turned our focus to testing the hypothesis that recessive disorders associated with bi-allelic variants in some KMTs and KDMs might exist. This hypothesis was based on our observation that five KMT and two KDM homozygous-knockout mice are viable but show multiple anomalies (Table S1). In the cohort of 4,293 subjects from the DDD study, we identified 27/102 probands with bi-allelic variants in KMTs and KDMs. On subsequent analyses, most of these were considered likely non-deleterious. However, one individual had bi-allelic homozygous KDM5B (MIM: 605393) PTVs (Table S5) (Figures 2 and 3) and severe global developmental delay (Table 1 and Supplemental Note: case reports). Fisher’s exact test revealed a 96.89-fold enrichment of homozygous PTVs (95% CI = 3.95–2,378.87; p = 0.03) in KDM5B in our cohort against the data from gnomAD.25 Additionally, no homozygous KDM5B-knockout genotype was seen in 3,222 adults with high parental relatedness,61 and the Kdm5b-knockout mice die prematurely from respiratory failure and display disorganized cranial nerves, defects in eye development, increased incidences of exencephaly, and skeletal anomalies.62 Next, we examined exome data from 5,332 additional individuals from the DDD study and identified two further individuals with bi-allelic KDM5B PTVs and striking overlapping phenotypes of severe global developmental delay, camptodactyly, and overlapping facial dysmorphism (Table 1 and Figures 2 and 3). Hence, bi-allelic KDM5B LoF variants cause a recessive DD. KDM5B is a H3K4 demethylase that modulates RNA polymerase II initiation and elongation rates and alternative splicing in embryonic stem cells.63
Overall, our results demonstrate the importance of defects in histone lysine methylation in human DDs. In particular, variants in six of eight KMT2 methyltransferases can now be considered to result in dominant DDs.5, 8, 14, 34, 40, 55, 56, 64, 65, 66, 67 KMT2 genes encode enzymes that monomethylate, dimethylate, and/or trimethylate the H3K41, 68 and mark active promoters and enhancers.69 Our observation emphasizes the significance of the correct dosage of KMT2 genes in normal development, despite their apparently redundant enzymatic function. Distinct phenotypes associated with variants in each of the KMT2 genes support their unique biological roles. Furthermore, the possibility of treating some of these conditions makes them highly relevant for future research.70, 71, 72, 73 Our findings enable the grouping of phenotypes on the basis of broad transcriptional consequences of defects in histone lysine methylation. For example, variants in genes promoting transcriptional activity (e.g., H3K4 methyltransferases) appear to cause growth retardation, whereas variants in transcriptional suppressors predominantly result in overgrowth (e.g., NSD1 [MIM: 606681], EZH2 [MIM: 601573], and now KMT5B). Finally, these results demonstrate that a systematic clinically oriented pathway-based approach (e.g., histone lysine methylation in this study) for analysis of large-scale exome or genome sequencing studies can help to reduce the statistical noise and further accelerate the discovery of rare genetic disorders.
Consortia
DDD Study: Jeremy F. McRae, Stephen Clayton, Tomas W. Fitzgerald, Joanna Kaplanis, Elena Prigmore, Diana Rajan, Alejandro Sifrim, Stuart Aitken, Nadia Akawi, Mohsan Alvi, Kirsty Ambridge, Daniel M. Barrett, Tanya Bayzetinova, Philip Jones, Wendy D. Jones, Daniel King, Netravathi Krishnappa, Laura E. Mason, Tarjinder Singh, Adrian R. Tivey, Munaza Ahmed, Uruj Anjum, Hayley Archer, Ruth Armstrong, Jana Awada, Meena Balasubramanian, Siddharth Banka, Diana Baralle, Angela Barnicoat, Paul Batstone, David Baty, Chris Bennett, Jonathan Berg, Birgitta Bernhard, A. Paul Bevan, Maria Bitner-Glindzicz, Edward Blair, Moira Blyth, David Bohanna, Louise Bourdon, David Bourn, Lisa Bradley, Angela Brady, Simon Brent, Carole Brewer, Kate Brunstrom, David J. Bunyan, John Burn, Natalie Canham, Bruce Castle, Kate Chandler, Elena Chatzimichali, Deirdre Cilliers, Angus Clarke, Susan Clasper, Jill Clayton-Smith, Virginia Clowes, Andrea Coates, Trevor Cole, Irina Colgiu, Amanda Collins, Morag N. Collinson, Fiona Connell, Nicola Cooper, Helen Cox, Lara Cresswell, Gareth Cross, Yanick Crow, Mariella D’Alessandro, Tabib Dabir, Rosemarie Davidson, Sally Davies, Dylan de Vries, John Dean, Charu Deshpande, Gemma Devlin, Abhijit Dixit, Angus Dobbie, Alan Donaldson, Dian Donnai, Deirdre Donnelly, Carina Donnelly, Angela Douglas, Sofia Douzgou, Alexis Duncan, Jacqueline Eason, Sian Ellard, Ian Ellis, Frances Elmslie, Karenza Evans, Sarah Everest, Tina Fendick, Richard Fisher, Frances Flinter, Nicola Foulds, Andrew Fry, Alan Fryer, Carol Gardiner, Lorraine Gaunt, Neeti Ghali, Richard Gibbons, Harinder Gill, Judith Goodship, David Goudie, Emma Gray, Andrew Green, Philip Greene, Lynn Greenhalgh, Susan Gribble, Rachel Harrison, Lucy Harrison, Victoria Harrison, Rose Hawkins, Liu He, Stephen Hellens, Alex Henderson, Sarah Hewitt, Lucy Hildyard, Emma Hobson, Simon Holden, Muriel Holder, Susan Holder, Georgina Hollingsworth, Tessa Homfray, Mervyn Humphreys, Jane Hurst, Ben Hutton, Stuart Ingram, Melita Irving, Lily Islam, Andrew Jackson, Joanna Jarvis, Lucy Jenkins, Diana Johnson, Elizabeth Jones, Dragana Josifova, Shelagh Joss, Beckie Kaemba, Sandra Kazembe, Rosemary Kelsell, Bronwyn Kerr, Helen Kingston, Usha Kini, Esther Kinning, Gail Kirby, Claire Kirk, Emma Kivuva, Alison Kraus, Dhavendra Kumar, V.K. Ajith Kumar, Katherine Lachlan, Wayne Lam, Anne Lampe, Caroline Langman, Melissa Lees, Derek Lim, Cheryl Longman, Gordon Lowther, Sally A. Lynch, Alex Magee, Eddy Maher, Alison Male, Sahar Mansour, Karen Marks, Katherine Martin, Una Maye, Emma McCann, Vivienne McConnell, Meriel McEntagart, Ruth McGowan, Kirsten McKay, Shane McKee, Dominic J. McMullan, Susan McNerlan, Catherine McWilliam, Sarju Mehta, Kay Metcalfe, Anna Middleton, Zosia Miedzybrodzka, Emma Miles, Shehla Mohammed, Tara Montgomery, David Moore, Sian Morgan, Jenny Morton, Hood Mugalaasi, Victoria Murday, Helen Murphy, Swati Naik, Andrea Nemeth, Louise Nevitt, Ruth Newbury-Ecob, Andrew Norman, Rosie O’Shea, Caroline Ogilvie, Kai-Ren Ong, Soo-Mi Park, Michael J. Parker, Chirag Patel, Joan Paterson, Stewart Payne, Daniel Perrett, Julie Phipps, Daniela T. Pilz, Martin Pollard, Caroline Pottinger, Joanna Poulton, Norman Pratt, Katrina Prescott, Sue Price, Abigail Pridham, Annie Procter, Hellen Purnell, Oliver Quarrell, Nicola Ragge, Raheleh Rahbari, Josh Randall, Julia Rankin, Lucy Raymond, Debbie Rice, Leema Robert, Eileen Roberts, Jonathan Roberts, Paul Roberts, Gillian Roberts, Alison Ross, Elisabeth Rosser, Anand Saggar, Shalaka Samant, Julian Sampson, Richard Sandford, Ajoy Sarkar, Susann Schweiger, Richard Scott, Ingrid Scurr, Ann Selby, Anneke Seller, Cheryl Sequeira, Nora Shannon, Saba Sharif, Charles Shaw-Smith, Emma Shearing, Debbie Shears, Eamonn Sheridan, Ingrid Simonic, Roldan Singzon, Zara Skitt, Audrey Smith, Kath Smith, Sarah Smithson, Linda Sneddon, Miranda Splitt, Miranda Squires, Fiona Stewart, Helen Stewart, Volker Straub, Mohnish Suri, Vivienne Sutton, Ganesh Jawahar Swaminathan, Elizabeth Sweeney, Kate Tatton-Brown, Cat Taylor, Rohan Taylor, Mark Tein, I. Karen Temple, Jenny Thomson, Marc Tischkowitz, Susan Tomkins, Audrey Torokwa, Becky Treacy, Claire Turner, Peter Turnpenny, Carolyn Tysoe, Anthony Vandersteen, Vinod Varghese, Pradeep Vasudevan, Parthiban Vijayarangakannan, Julie Vogt, Emma Wakeling, Sarah Wallwark, Jonathon Waters, Astrid Weber, Diana Wellesley, Margo Whiteford, Sara Widaa, Sarah Wilcox, Emily Wilkinson, Denise Williams, Nicola Williams, Louise Wilson, Geoff Woods, Christopher Wragg, Michael Wright, Laura Yates, Michael Yau, Chris Nellåker, Michael Parker, Helen V. Firth, Caroline F. Wright, David R. FitzPatrick, Jeffrey C. Barrett, and Matthew E. Hurles. See Deciphering Developmental Disorders Study (2017). Nature 542, 433–438 for a full list of collaborators.
CAUSES Study: Shelin Adam, Christèle du Souich, Alison M. Elliott, Anna Lehman, Jill Mwenifumbo, Tanya N. Nelson, Clara van Karnebeek, and Jan M. Friedman
Acknowledgments
We are thankful to all the individuals and their families for taking part in the study. We are thankful to Matthew Hurles for his critical review of the manuscript. Victor Faundes acknowledges CONICYT, Chile’s National Commission for Scientific and Technological Research, for its scholarship support (grant number 72160007). We are thankful to the Deciphering Developmental Disorders (DDD) study for the invaluable collaboration. The DDD Study (Cambridge South REC approval 10/H0305/83 and the Republic of Ireland REC GEN/284/12) presents independent research commissioned by the Health Innovation Challenge Fund (grant number HICF-1009-003), a parallel funding partnership between the Wellcome Trust and the Department of Health, and the Wellcome Trust Sanger Institute (grant number WT098051). The views expressed in this publication are those of the author(s) and not necessarily those of the Wellcome Trust or the Department of Health. The research team acknowledges the support of the National Institute for Health Research, through the Comprehensive Clinical Research Network. The CAUSES study (see Web Resources) (University of British Columbia protocol H-15-00092) is funded by the Mining for Miracles (British Columbia Children’s Hospital Foundation) and Genome British Columbia, with support from the British Columbia Provincial Health Services Authority and British Columbia Women’s Hospital.
Published: December 21, 2017
Footnotes
Supplemental Data include a Supplemental Note, two figures, and 14 tables and can be found with this article online at https://doi.org/10.1016/j.ajhg.2017.11.013.
Contributor Information
Siddharth Banka, Email: siddharth.banka@manchester.ac.uk.
Clinical Assessment of the Utility of Sequencing and Evaluation as a Service (CAUSES) Study:
Shelin Adam, Christèle du Souich, Alison M. Elliott, Anna Lehman, Jill Mwenifumbo, Tanya N. Nelson, Clara van Karnebeek, and Jan M. Friedman
The Deciphering Developmental Disorders (DDD) Study:
Jeremy F. McRae, Stephen Clayton, Tomas W. Fitzgerald, Joanna Kaplanis, Elena Prigmore, Diana Rajan, Alejandro Sifrim, Stuart Aitken, Nadia Akawi, Mohsan Alvi, Kirsty Ambridge, Daniel M. Barrett, Tanya Bayzetinova, Philip Jones, Wendy D. Jones, Daniel King, Netravathi Krishnappa, Laura E. Mason, Tarjinder Singh, Adrian R. Tivey, Munaza Ahmed, Uruj Anjum, Hayley Archer, Ruth Armstrong, Jana Awada, Meena Balasubramanian, Siddharth Banka, Diana Baralle, Angela Barnicoat, Paul Batstone, David Baty, Chris Bennett, Jonathan Berg, Birgitta Bernhard, A. Paul Bevan, Maria Bitner-Glindzicz, Edward Blair, Moira Blyth, David Bohanna, Louise Bourdon, David Bourn, Lisa Bradley, Angela Brady, Simon Brent, Carole Brewer, Kate Brunstrom, David J. Bunyan, John Burn, Natalie Canham, Bruce Castle, Kate Chandler, Elena Chatzimichali, Deirdre Cilliers, Angus Clarke, Susan Clasper, Jill Clayton-Smith, Virginia Clowes, Andrea Coates, Trevor Cole, Irina Colgiu, Amanda Collins, Morag N. Collinson, Fiona Connell, Nicola Cooper, Helen Cox, Lara Cresswell, Gareth Cross, Yanick Crow, Mariella D’Alessandro, Tabib Dabir, Rosemarie Davidson, Sally Davies, Dylan de Vries, John Dean, Charu Deshpande, Gemma Devlin, Abhijit Dixit, Angus Dobbie, Alan Donaldson, Dian Donnai, Deirdre Donnelly, Carina Donnelly, Angela Douglas, Sofia Douzgou, Alexis Duncan, Jacqueline Eason, Sian Ellard, Ian Ellis, Frances Elmslie, Karenza Evans, Sarah Everest, Tina Fendick, Richard Fisher, Frances Flinter, Nicola Foulds, Andrew Fry, Alan Fryer, Carol Gardiner, Lorraine Gaunt, Neeti Ghali, Richard Gibbons, Harinder Gill, Judith Goodship, David Goudie, Emma Gray, Andrew Green, Philip Greene, Lynn Greenhalgh, Susan Gribble, Rachel Harrison, Lucy Harrison, Victoria Harrison, Rose Hawkins, Liu He, Stephen Hellens, Alex Henderson, Sarah Hewitt, Lucy Hildyard, Emma Hobson, Simon Holden, Muriel Holder, Susan Holder, Georgina Hollingsworth, Tessa Homfray, Mervyn Humphreys, Jane Hurst, Ben Hutton, Stuart Ingram, Melita Irving, Lily Islam, Andrew Jackson, Joanna Jarvis, Lucy Jenkins, Diana Johnson, Elizabeth Jones, Dragana Josifova, Shelagh Joss, Beckie Kaemba, Sandra Kazembe, Rosemary Kelsell, Bronwyn Kerr, Helen Kingston, Usha Kini, Esther Kinning, Gail Kirby, Claire Kirk, Emma Kivuva, Alison Kraus, Dhavendra Kumar, V.K. Ajith Kumar, Katherine Lachlan, Wayne Lam, Anne Lampe, Caroline Langman, Melissa Lees, Derek Lim, Cheryl Longman, Gordon Lowther, Sally A. Lynch, Alex Magee, Eddy Maher, Alison Male, Sahar Mansour, Karen Marks, Katherine Martin, Una Maye, Emma McCann, Vivienne McConnell, Meriel McEntagart, Ruth McGowan, Kirsten McKay, Shane McKee, Dominic J. McMullan, Susan McNerlan, Catherine McWilliam, Sarju Mehta, Kay Metcalfe, Anna Middleton, Zosia Miedzybrodzka, Emma Miles, Shehla Mohammed, Tara Montgomery, David Moore, Sian Morgan, Jenny Morton, Hood Mugalaasi, Victoria Murday, Helen Murphy, Swati Naik, Andrea Nemeth, Louise Nevitt, Ruth Newbury-Ecob, Andrew Norman, Rosie O’Shea, Caroline Ogilvie, Kai-Ren Ong, Soo-Mi Park, Michael J. Parker, Chirag Patel, Joan Paterson, Stewart Payne, Daniel Perrett, Julie Phipps, Daniela T. Pilz, Martin Pollard, Caroline Pottinger, Joanna Poulton, Norman Pratt, Katrina Prescott, Sue Price, Abigail Pridham, Annie Procter, Hellen Purnell, Oliver Quarrell, Nicola Ragge, Raheleh Rahbari, Josh Randall, Julia Rankin, Lucy Raymond, Debbie Rice, Leema Robert, Eileen Roberts, Jonathan Roberts, Paul Roberts, Gillian Roberts, Alison Ross, Elisabeth Rosser, Anand Saggar, Shalaka Samant, Julian Sampson, Richard Sandford, Ajoy Sarkar, Susann Schweiger, Richard Scott, Ingrid Scurr, Ann Selby, Anneke Seller, Cheryl Sequeira, Nora Shannon, Saba Sharif, Charles Shaw-Smith, Emma Shearing, Debbie Shears, Eamonn Sheridan, Ingrid Simonic, Roldan Singzon, Zara Skitt, Audrey Smith, Kath Smith, Sarah Smithson, Linda Sneddon, Miranda Splitt, Miranda Squires, Fiona Stewart, Helen Stewart, Volker Straub, Mohnish Suri, Vivienne Sutton, Ganesh Jawahar Swaminathan, Elizabeth Sweeney, Kate Tatton-Brown, Cat Taylor, Rohan Taylor, Mark Tein, I. Karen Temple, Jenny Thomson, Marc Tischkowitz, Susan Tomkins, Audrey Torokwa, Becky Treacy, Claire Turner, Peter Turnpenny, Carolyn Tysoe, Anthony Vandersteen, Vinod Varghese, Pradeep Vasudevan, Parthiban Vijayarangakannan, Julie Vogt, Emma Wakeling, Sarah Wallwark, Jonathon Waters, Astrid Weber, Diana Wellesley, Margo Whiteford, Sara Widaa, Sarah Wilcox, Emily Wilkinson, Denise Williams, Nicola Williams, Louise Wilson, Geoff Woods, Christopher Wragg, Michael Wright, Laura Yates, Michael Yau, Chris Nellåker, Michael Parker, Helen V. Firth, Caroline F. Wright, David R. FitzPatrick, Jeffrey C. Barrett, and Matthew E. . Hurles
Web Resources
BrainSpan, http://www.brainspan.org/
CAUSES Study, www.causes.clinic
DECIPHER, https://decipher.sanger.ac.uk
Ensembl GRCh37, http://grch37.ensembl.org
ExAC Browser, http://exac.broadinstitute.org/
Exome Variant Server, http://evs.gs.washington.edu/EVS/
GTEx Portal, https://www.gtexportal.org/home
HGMD® Professional Version, https://www.qiagenbioinformatics.com/products/human-gene-mutation-database/
HUGO Gene Nomenclature Committee, http://www.genenames.org/
MutationMapper, http://www.cbioportal.org/mutation_mapper.jsp
MutationTaster2, http://www.mutationtaster.org/
OMIM, https://www.omim.org/
The 1000 Genomes Project, http://phase3browser.1000genomes.org/index.html
UK10K Project, https://www.uk10k.org/
UniProtKB, http://www.uniprot.org/
ZFIN, http://zfin.org/
Supplemental Data
References
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