Abstract
RAD21 encodes a key component of the cohesin complex, and variants in RAD21 have been associated with Cornelia de Lange Syndrome (CdLS). Limited information on phenotypes attributable to RAD21 variants and genotype–phenotype relationships is currently published. We gathered a series of 49 individuals from 33 families with RAD21 alterations [24 different intragenic sequence variants (2 recurrent), 7 unique microdeletions], including 24 hitherto unpublished cases. We evaluated consequences of 12 intragenic variants by protein modelling and molecular dynamic studies. Full clinical information was available for 29 individuals. Their phenotype is an attenuated CdLS phenotype compared to that caused by variants in NIPBL or SMC1A for facial morphology, limb anomalies, and especially for cognition and behavior. In the 20 individuals with limited clinical information, additional phenotypes include Mungan syndrome (in patients with biallelic variants) and holoprosencephaly, with or without CdLS characteristics. We describe several additional cases with phenotypes including sclerocornea, in which involvement of the RAD21 variant is uncertain. Variants were frequently familial, and genotype–phenotype analyses demonstrated striking interfamilial and intrafamilial variability. Careful phenotyping is essential in interpreting consequences of RAD21 variants, and protein modeling and dynamics can be helpful in determining pathogenicity. The current study should be helpful when counseling families with a RAD21 variation.
Electronic supplementary material
The online version of this article (10.1007/s00439-020-02138-2) contains supplementary material, which is available to authorized users.
Introduction
RAD21 (ENSG00000164754; OMIM *606462) is a key component of the cohesin complex and it forms a tri-partite ring together with SMC1A and SMC3 (Fig. 1 and Suppl. Fig. S1). The cohesin complex is a major modulator of chromosome structure, is involved in regulating chromosome segregation during mitosis, DNA repair and chromatin condensation, and plays an important role in gene transcription during interphase and cellular homeostasis (Kamada and Barilla 2018; Mullenders et al. 2015; Watrin et al. 2016). RAD21 has been implicated in additional processes including mediation of epigenetic silencing and induction of apoptosis (Fisher et al. 2017; Pati et al. 2002). Variants in genes encoding various structural or functional components of the cohesin complex, including RAD21, SMC1A, SMC3, BRD4, STAG1/2, NIPBL, HDAC8, WAPL, ANKRD11 and in single individuals PDS5A and ESPL1, have been implicated in Cornelia de Lange Syndrome (CdLS) (Ansari et al. 2014; Kline et al. 2018; Woods et al. 2014; Yuan et al. 2019). RAD21 spans ~ 29 Kb and has 14 exons (13 coding, 1 noncoding) that together encode a protein of 631 amino acids (McKay et al. 1996).
RAD21 variants are found in a minority of CdLS patients. To date, nine missense variants and 5 microdeletions have been reported in CdLS patients (Kline et al. 2018). CdLS is characterized by distinct facial features, growth delay, microcephaly, limb reduction defects, intellectual disability (ID) and behavioral problems, especially self-injurious behavior (SIB) and autism spectrum disorder (ASD) (Kline et al. 2018). RAD21 variants have also been associated with sclerocornea (Zhang et al. 2019) and Mungan syndrome (Chronic Idiopatic Intestinal Pseudoobstruction; OMIM #611376, in patients with biallelic RAD21 variants) (Bonora et al. 2015; Mungan et al. 2003), each in a single family in which no remarks on CdLS features were made in the report. Loss of function-variants in cohesin genes including RAD21 were found in individuals with holoprosencephaly of whom some demonstrated CdLS features as well (Kruszka et al. 2019).
RAD21 is positioned on chromosome 8q24.11, between TRPS1 (Tricho-Rhino-Phalangeal syndrome type 1; OMIM *604386) and EXT1 (Multiple Exostoses type 1; OMIM *608177). Several microdeletions involving RAD21 encompass genes next to RAD21 (contiguous gene syndrome), complicating attribution to RAD21 of the phenotype (Deardorff et al. 2012; Pereza et al. 2012; Wuyts et al. 2002). TRPS type 2 or Langer-Giedion syndrome (OMIM #150230) involves TPRS1, RAD21 and EXT1, and the facial phenotype is mainly determined by loss of TRPS1, whereas the bony abnormalities arise from the loss of EXT1 (Maas et al. 2015).
Based on the small case series of CdLS patients with RAD21 variants reported so far, face and limb manifestations of CdLS seem to be less pronounced compared to individuals with variants in the other cohesin complex genes, and the impact on cognitive functioning seems attenuated, without clear genotype–phenotype correlation (Kline et al. 2018; Minor et al. 2014). Here, we report on a case series of 49 patients from 33 families with RAD21 alterations, including all previously published cases with sequence variants, most of which with updated clinical data. We included 24 hitherto unpublished cases. We present genotype data, evaluate the pathogenicity of intragenic variants by a combination of phenotype, protein modelling, and molecular dynamic studies, and provide information on clinical phenotype, including cognitive and behavioral functioning, interfamilial and intrafamilial variability, and genotype–phenotype associations. We compare the RAD21 phenotype to that of patients with NIPBL and SMC1A variants.
Results
We identified 219 cases with RAD21 variants, of which 49 patients from 33 families were included in this study (Tables 1 and S1). We describe in Table S6 those excluded cases that still may be of interest such as published cases with involvement of other morbid genes (Deardorff et al. 2012; Maas et al. 2015; Pereza et al. 2012; Wuyts et al. 2002; Yuen et al. 2015), variants reported as variant of unknown significance (VUS) that remained with unknown significance subsequent to re-evaluation, and cases for whom the relationship between phenotype and RAD21 variant could not be confirmed(Kruszka et al. 2019; Zhang et al. 2019).
The 49 patients can be divided into two groups: cohort A includes 29 patients (22 families) with sufficient clinical data; and cohort B includes 20 patients (11 families) with incomplete data. Of the 49 cases, 24 are new. Twenty-five were previously published (Ansari et al. 2014; Bonora et al. 2015; Boyle et al. 2017; Deardorff et al. 2012; Dorval et al. 2019; Gudmundsson et al. 2018; Kruszka et al. 2019; Lee et al. 2014; Martinez et al. 2017; McBrien et al. 2008; Minor et al. 2014; Yuan et al. 2019), and for 19 of these clinical data could be updated (Table 1). Patients originated from Australia, Belgium, Canada, Denmark, Germany, Italy, Netherlands, Spain, Sweden, Switzerland, Turkey, United Kingdom and United States.
Table 1.
PID | Reference | Source | CdLS scorea | Exon/intron | Nucleotide change | Predicted amino acid change | Type | Inheritance |
---|---|---|---|---|---|---|---|---|
Cohort A—sufficient clinical data | ||||||||
F1 | Martinez 2017 | Updated | 9 | Exon 2 | c.68G > A | p.(Trp23*) | Nonsense | De novo |
F2 | Clinvar | New | ≥ 7 | Exon 2 | c.194G > A | p.(Arg65Gln) | Missenseb | |
F3a | Ansari 2014 P1 | Updated | ≥ 10 | Intron 3 | c.274 + 1G > A | Splice site | Familial (paternal) | |
F4 | Minor 2014 P2 | Updated | 12 | Exon 6 | c.592_593dupAG | p.(Ser198Argfs*6) | Frameshift | |
F5 | Unpublished | New | 9 | Exon 6 | c.617_620del | p.(Ile206Thrfs*3) | Frameshift | De novo |
F6a | Boyle 2017 IV.16 | Updated | 12 | Exon 7 | c.704delG | p.(Ser235Ilefs*19) | Frameshift | Familial (maternal) |
F6b | Boyle 2017 III.1 | Updated | 10 | Exon 7 | c.704delG | p.(Ser235Ilefs*19) | Frameshift | Familial (parents not tested) |
F6c | Boyle 2017 III.2 | Updated | 9 | Exon 7 | c.704delG | p.(Ser235Ilefs*19) | Frameshift | Familial (parents not tested) |
F6d | Boyle 2017 III.5 | Updated | 9 | Exon 7 | c.704delG | p.(Ser235Ilefs*19) | Frameshift | Familial (parents not tested) |
F6e | Unpublished | New | 12 | Exon 7 | c.704delG | p.(Ser235Ilefs*19) | Frameshift | Familial (maternal) |
F7 | Dorval 2019 | Original data | ≥ 11 | Exon 9 | c.943_946del | p.(Glu315Glnfs*9) | Frameshift | De novo |
F8 | Deardorff 2012 P5 | Original data | ≥ 10 | Exon 9 | c.1127C > G | p.(Pro376Arg) | Missenseb | De novo |
F9 | Kruszka 2019 P14 | Updated | 13 | Exon 10 | c.1217_1224del | p.(Lys406Argfs*4) | Frameshift | De novo |
F10 | Unpublished | New | 10 | Exon 11 | c.1382C > T | p.(Thr461Ile) | Missense | Familial (paternal) |
F11a | Minor 2014 P1 | Updated | 8 | Exon 13 | c.1621-388_1704 + 193del | p.(Asp541_Gln568del) | Inframe deletion | Familial (maternal) |
F11b | Minor 2014 mother P1 | Updated | ≥ 5 | Exon 13 | c.1621-388_1704 + 193del | p.(Asp541_Gln568del) | 665 bp inframe deletion | |
F12 | Unpublished | New | 13 | Exon 13 | c.1635del | p.(Gly547Alafs*65) | Frameshift | De novo |
F13 | Deardorff 2012, P6 | Orginal data | ≥ 12 | Exon 14 | c.1753T > C | p.(Cys585Arg) | Missenseb | De novo |
F14a | Unpublished | New | 12 | Exon 14 | c.1753T > C | p.(Cys585Arg) | Missenseb | Familial (parents not tested) |
F14b | Unpublished | New | ≥ 10 | Exon 14 | c.1753T > C | p.(Cys585Arg) | Missense | Familial (parents not tested) |
F15 | Unpublished | New | ≥ 12 | Exon 14 | c.1756C > T | p.(Arg586*) | Nonsense | |
F16a | Unpublished | New | 10 | Exon 14 | c.1756C > T | p.(Arg586*) | Nonsense | Familial (paternal) |
F16b | Father, unpublished | New | ≥ 10 | Exon 14 | c.1756C > T | p.(Arg586*) | Nonsense | |
F17 | Gudmunsson 2019 | Updated | 8 | Exon 14 | c.1774_1776del | p.(Gln592del) | Inframe deletionb | De novo |
F18 | Unpublished | New | 9 | Exon 14 | c.1800_1802del | p.(Phe600del) | Inframe deletionb | |
F19 | Deardorff 2012 P4 | Original data | ≥ 12 | Whole gene | arr[hg19] 8q23.3q24.11(116880827–118875305)x1 | 2 Mb deletion | ||
F20 | Unpublished | New | ≥ 12 | Whole gene | arr[hg19] 8q23.3q24.11(116915114–119171074)x1 | 2.3 Mb deletion | De novo | |
F21 | Deardorff 2012 P2, McBrein 2008 | Original data | ≥ 12 | Whole gene | arr[hg19] 8q23.3q24.12(117571728–119260904)x1 | 1.7 Mb deletion | De novo | |
F22 | Unpublished | New | 12 | Exons 1–9 | arr[hg19] 8q24.11(117866471–117893495)x1 | 27 kb deletion | ||
Cohort B—insufficient clinical data | ||||||||
F3b | Ansari 2014 | Updated | Intron 3 | c.274 + 1G > A | n/a | Splice site | ||
F23 | Decipher 271431 | New | Exon 2 | c.16T > G | p.(Phe6Val) | Missense | De novo | |
F24 | Unpublished | New | Exon 2 | c.85delinsCCT | p.(Lys29Profs*10) | Frameshift | ||
F25a | Decipher 272901 | New | Exon 9 | c.951del | p.(Ala318Profs*7) | Frameshift | Familial (paternal) | |
F25b | Decipher 272901 father | New | Exon 9 | c.951del | p.(Ala318Profs*7) | Frameshift | ||
F26 | Decipher 275402 | New | Exon 9 | c.1033T > C | p.(Ser345Pro) | Missenseb | De novo | |
F27a | Yuan 2018 P2 | Updated | Intron 10 | c.1161 + 1G > A | Splice site | Familial (maternal) | ||
F27b | Yuan 2018 mother P2 | Updated | Intron 10 | c.1161 + 1G > A | Splice site | |||
F28a | Kruszka 2019 P12/Yuan 2019 P1 | Updated | Exon 12 | c.1550dupC | p.(Glu518Argfs*19) | Frameshift | Familial (paternal) | |
F28b | Kruszka 2019 P12 father/Yuan 2019 P1 father | Updated | Exon 12 | c.1550dupC | p.(Glu518Argfs*19) | Frameshift | ||
F29 | Lee 2014 P76 | Original data | Exon 14 | c.1808T > C | p.(Leu603Pro) | Missenseb | De novo | |
F30a | Bonora 2015 IV.9 | Updated | Exon 14 | c.[1864G > A];[1864G > A] | p.(Ala622Thr) | Missenseb | Familial (both parents) | |
F30b | Bonora 2015 IV.10 | Updated | Exon 14 | c.[1864G > A];[1864G > A] | p.(Ala622Thr) | Missenseb | Familial (both parents) | |
F30c | Bonora 2015 IV.11 | Updated | Exon 14 | c.[1864G > A];[1864G > A] | p.(Ala622Thr) | Missenseb | Familial (both parents) | |
F30d | Unpublished | New | Exon 14 | c.[1864G > A] | p.(Ala622Thr) | Missenseb | Familial (nos) | |
F30e | Unpublished | New | Exon 14 | c.[1864G > A] | p.(Ala622Thr) | Missenseb | Familial (nos) | |
F30f | Unpublished | New | Exon 14 | c.[1864G > A] | p.(Ala622Thr) | Missenseb | Familial (nos) | |
F31 | ClinVar | New | Whole gene | arr[hg19] 8q23.3-24.11(116902507–118942698)x1 | 2 Mb deletion; includes several genes | |||
F32 | ClinVar | New | Whole gene | arr[hg19] 8q23.3-24.11(117509968–118391406)x1 | 880 kb deletion; includes several genes | |||
F33 | ClinVar | New | Whole gene | arr[hg19] 8q24.11(117714768–119072307)x1 | 1.4 Mb deletion; includes several genes |
Cohort A: detailed clinical data available, including information on all cardinal CdLS features; cohort B: insufficient clinical data available
F family number, P patient number in the respective publication, nos not otherwise specified
aBased on (Kline et al. 2018); ≥ defines at least (minor criteria missing). Score < 4 is insufficient to indicate molecular testing for CdLS; score 4–8 indicates molecular testing for CdLS indicated; score 9–10 indicates non-classic CdLS; score 11 or higher indicates classic CdLS
bVariants investigated with protein modelling
Genotype
The 33 families harbor 31 different variants: seven unique copy number variations (CNVs) and 24 intragenic sequence variants. Two of the latter were recurrent [p.(Cys585Arg) and p.(Arg586*), each found in 2 families (Table 1, Fig. 1)]. A relatively large proportion of the cases are familial (nine out of 21 index cases for whom inheritance could be established). The seven CNVs were all deletions, six of which included other genes in addition to RAD21. Of the 24 different sequence variants, 13 are predicted be truncating (2 nonsense, 2 splice site and 9 frameshift variants), and these are scattered throughout the gene. Three of the variants are in-frame deletions, two of which affect a single amino acid, while the 665 bp deletion includes the whole exon 13. The missense variants tend to cluster at the functional domains of the protein. Some variants in cohort B may be recurrent but sufficient data are lacking to confirm this (Table S6).
Evaluation of pathogenicity of RAD21 variants using molecular dynamic analyses
For 12 intragenic variants (ten missense variants and two 3 bp in-frame deletions, from individuals in cohort A, B and Table S6) it was possible to carry out structural analysis, as their substituted residues are located in one of the domains for which 3D arrangement can be modeled (RAD21-SMC3 domain, RAD21-STAG domain and RAD21-SMC1A domain, Fig. 2; Figs. S2-3). Interactions between RAD21 and its binding partners are shown in Fig. S1.
Modeled missense variants within the RAD21-SMC3 domain (residues 18–87 harboring Arg65Gln), and RAD21-STAG domain (residues 321–392 harboring Ser345Pro, Pro355Leu and Pro376Arg)
Substitution of Arg65 with Gln (Arg65Gln) is a semi-conservative variation that did not promote detectable structural or dynamic changes in the complex. The Ser345Pro variant impairs RAD21 and STAG1/2 interactions due to promotion of a de novo curved small alpha-helix segment that binds to the pre-existing alpha helix, which separates from the surface of STAG2. No structural or dynamic effects of Pro355Leu or Pro367Arg on RAD21 itself could be observed. Nevertheless, Pro376Arg does promote the formation of a new salt bridge between RAD21 and STAG2, which is predicted to cause over-stabilization of the interaction between the two proteins.
Modeled missense variants within the RAD21-SMC1A domain (residues 543–628 harboring Gly575Ala, Cys585Arg, Arg586Gln, Gln592del, Phe600del, Leu603Pro, Ser618Gly, and Ala622Thr)
Four of the eight variants in this domain (Cys585Arg; Arg586Gln; Gln592del; Leu603Pro) are predicted to cause a structural effect. Arg586Gln destabilizes the RAD21-SMC1A domain by loss of a salt bridge between Arg586 and Glu577, and the altered position of Glu577 adds an additional negative charge to the RAD21 surface of RAD21-SMC1A. Cys585Arg has a similar effect, interacting with Glu583 and causing Arg586 to lose its contact with Glu577. The MD simulation shows that both Gln592del and Leu603Pro, but not Phe600del, affect the positioning of SMC1A-Asn35 at the ATPase site 1 by changing the position of Lys605.
Phenotype
Physical features
Individual CdLS scores and major and minor anomalies in cohort A are provided in Table S2-3. Clinical features of cohort A are compared to those of NIPBL and SMC1A cohorts in Table 2 and illustrated in Fig. 3 and Fig. S4. Clinical information for cohort B is available in supplemental materials S5 and will not be discussed further in the text, as clinical data are limited. We mention data in the text only if not represented in the tables.
Table 2.
Clinical characteristicsa | HPO ID | RAD21 (n = 29) | SMC1A (n = 51) | NIPBL (n = 67) | |||
---|---|---|---|---|---|---|---|
N pos/N total | Percentage | N pos/N total | Percentage | N pos/N total | Percentage | ||
Sex (male/female) | 15/14 | 52/48 | 14/37 | 27/73 | 34/33 | 51/49 | |
Familial mutation | 5/12 | 42 | 4/47 | 9 | n/a | n/a | |
Length at birth < − 2SD | HP:0003561 | 2/18 | 22 | 9/31 | 28 | 32/43 | 74 |
Weight at birth < − 2SD | HP:0001511 | 4/22 | 18 | 11/41 | 27 | 29/43 | 67 |
Prenatal head circumference < − 2SD | HP:0000252 | 7/16 | 44 | 8/24 | 33 | 39/43 | 91 |
Postnatal height < − 2SD | HP:0008897 | 10/27 | 37 | 24/38 | 63 | 37/43 | 86 |
Postnatal weight < − 2SD | HP:0004325 | 3/26 | 12 | 14/37 | 38 | 39/43 | 91 |
Postnatal head circumference < − 2SD | HP:0000252 | 16/28 | 57 | 23/36 | 64 | 54/62 | 87 |
Brachycephaly | HP:0000248 | 8/19 | 42 | 17/42 | 40 | 44/67 | 66 |
Low anterior/posterior hairline | HP:0000294/HP:0002162 | 14/23 | 61 | 30/43 | 70 | 57/67 | 85 |
Arched eyebrows | HP:0002553 | 18/27 | 67 | 32/44 | 73 | 54/67 | 81 |
Synophrys | HP:0000664 | 19/28 | 68 | 37/46 | 80 | 61/67 | 91 |
Thick eyebrows | HP:0000574 | 20/24 | 83 | 37/46 | 80 | 61/67 | 91 |
Long eyelashes | HP:0000527 | 21/26 | 81 | 38/45 | 84 | 65/67 | 97 |
Concave nasal ridge | HP:0011120 | 24/29 | 83 | 20/43 | 47 | 57/67 | 85 |
Upturned nasal tip | HP:0000463 | 19/27 | 70 | 26/46 | 57 | 58/67 | 87 |
Short nose | HP:0003196 | 23/26 | 88 | 26/46 | 57 | 58/67 | 87 |
Long and/or smooth philtrum | HP:0000343/HP:0000319 | 26/29 | 90 | 27/43 | 63 | 54/67 | 81 |
Thin upper lip vermillion | HP:0000219 | 23/29 | 79 | 33/44 | 75 | 22/24 | 92 |
Thin lips, downturned corners mouth | HP:0002714 | 16/27 | 59 | 33/46 | 72 | 23/24 | 96 |
Highly arched palate | HP:0000218 | 8/22 | 36 | 11/37 | 30 | 35/67 | 52 |
Cleft palate or submucous cleft palate | HP:0000175/HP:0410031 | 6/25 | 24 | 10/45 | 22 | 20/67 | 30 |
Widely spaced or absent teeth | HP:0000687/HP:0006349 | 2/20 | 10 | 13/44 | 30 | 18/23 | 78 |
Micrognathia | HP:0000347 | 8/23 | 35 | 18/45 | 40 | 50/67 | 75 |
Low-set and/or malformed ears | HP:0000369/HP:0000377 | 14/26 | 54 | 18/45 | 40 | 45/67 | 67 |
Major limb malformation | HP:0001180/HP:0009776 | 0/29 | 0 | 0/49 | 0 | 17/67 | 25 |
Small hands | HP:0200055 | 5/27 | 19 | 32/45 | 71 | 53/63 | 84 |
Proximally placed thumb | HP:0009623 | 6/18 | 33 | 18/44 | 41 | 11/20 | 55 |
Clinodactyly 5th finger | HP:0004209 | 13/24 | 54 | 21/45 | 47 | 42/63 | 67 |
Short 5th finger | HP:0009237 | 23/28 | 82 | 21/45 | 47 | 42/63 | 67 |
Syndactyly hands | HP:0006101 | 1/19 | 5 | 1/37 | 3 | 4/63 | 6 |
Abnormal palmar crease | HP:0010490 | 9/21 | 43 | 5/40 | 13 | 21/29 | 72 |
Dislocated elbow/abnormal extension | HP:0005021/HP:0001377 | 11/24 | 46 | 2/40 | 5 | 20/34 | 59 |
Small feet | HP:0001773 | 3/27 | 11 | 29/44 | 66 | 65/67 | 97 |
Syndactyly 2nd–3rd toes | HP:0004691 | 4/24 | 17 | 13/46 | 28 | 21/66 | 32 |
Scoliosis | HP:0002650 | 2/20 | 10 | 4/40 | 10 | 1/42 | 2 |
Hip dislocation or dysplasia | HP:0002827/HP:0001385 | 2/19 | 11 | 2/40 | 5 | ||
Ptosis | HP:0000508 | 11/26 | 42 | 4/40 | 10 | 8/42 | 19 |
Visual impairment | HP:0000505 | 0/24 | 0 | 20/38 | 53 | 29/66 | 44 |
Myopia ≥ − 6.00 D | HP:0011003 | ≤ 2/24b | ≤8 | 11/40 | 28 | 6/40 | 15 |
Hearing loss | HP:0000365 | 8/24 | 33 | 16/39 | 41 | 43/66 | 65 |
Seizures | HP:0001250 | 2/22 | 9 | 20/44 | 45 | 10/66 | 15 |
Cutis marmorata | HP:0000965 | 3/23 | 13 | 19/44 | 43 | 27/43 | 63 |
Hirsutism | HP:0001007 | 10/26 | 38 | 37/47 | 79 | 37/43 | 86 |
CNS major and minor malformations (MRI brain) | HP:0012443 | 2/5 | 40 | 5/43 | 12 | ||
Heart (major and minor) | HP:0001627 | 9/23 | 39 | 13/44 | 30 | 18/66 | 27 |
Major malformation of gut | HP:0012718 | 4/30 | 13 | 3/44 | 7 | 6/24 | 25 |
Diaphragmatic hernia | HP:0000776 | 1/30 | 3 | 1/40 | 3 | 6/24 | 25 |
Gastroesophageal reflux disease | HP:0002020 | 13/25 | 52 | 25/42 | 60 | 47/66 | 71 |
Genitourinary system majorc | HP:0000119 | 1/20 | 5 | 4/42 | 10 | 0/67 | 0 |
Genitourinary system minor | HP:0000119 | 8/23 | 35 | 9/40 | 23 | 46/67 | 69 |
HPO ID human phenotype ontology identifier, CNS central nervous system
aOnly features which could be compared across at least two cohorts are presented. Full clinical description with individual data are presented in supplementary Table S3
b2 of the 24 cases have myopia but unspecified severity
cUni/bilateral renal anomalies
All patients in cohort A (age range 0–61 years, median 9 years, mean 18 years; 15 males) had CdLS scores of at least five, sufficient to warrant molecular genetic testing for CdLS. In about 60% of index cases (13/21 index cases in which this was specified) CdLS was suspected prior to testing. There was no gender difference in CdLS scores. No RAD21 variant would have been missed using the CdLS consensus criteria for molecular studies (Kline et al. 2018). Clinical scores of patients with CdLS suspected prior to testing (median 11.5; range 8–13) were higher than those not suspected to have CdLS (median 9.5; range 5–13).
Cognition, development and behavior
Cognitive functioning, developmental milestones and behavioral functioning in the RAD21 group are attenuated compared to the NIPBL and SMC1A groups (Tables 3 and S4). The majority of RAD21 patients (16/29, 55%) have normal or mildly impaired cognitive functioning (SMC1A group 32%; NIPBL group 7%) (Huisman et al., 2017; Mulder et al., 2019). In all three groups, there is a trend towards more language-based problems than motor-based problems in development. Still, all RAD21 patients aged 3 years and above were able to use some words. There was no correlation between the severity of cognitive impairment in RAD21 patients and presence of microcephaly (prenatal, postnatal, or both; data not shown).
Table 3.
RAD21 (n = 29) | SMC1A (n = 51) | NIPBL (n = 67) | ||||
---|---|---|---|---|---|---|
N pos/N total | % | N pos/N total | % | N pos/N total | % | |
Cognitive functioninga | ||||||
Normal cognition | 3/29b | 10 | 3/28 | 11 | 0/58 | 0 |
Mild disability (HP:0001256) | 13/29 | 45 | 6/28 | 21 | 4/58 | 7 |
Moderate disability (HP:0002342) | 4/29c | 14 | 9/28 | 32 | 16/58 | 28 |
Severe disability (HP:0010864) | 0/29 | 0 | 6/28 | 21 | 27/58 | 47 |
Profound disability (HP:0002187) | 0/29 | 0 | 4/28 | 14 | 11/58 | 19 |
Disability present, severity unspecified (HP:0001249) | 2/29 | 7 | ||||
Developmental problems, too young to determine reliably cognitive functioning (HP:0012759) | 7/29 | 24 | ||||
Developmental milestonesd | ||||||
Sitting without support | 100e | 75e | 54e | |||
Attained on target (age < 12 months) | 10/10 | n/a | n/a | |||
Attained before age 3 years | 10/10 | 18/24 | 28/52 | |||
Attained later | 3/24 | 23/52 | ||||
Not attained yet (in patients aged ≥ 5 years) | 3/24 | 1/52 | ||||
First words | 100e | 35e | 8e | |||
Attained on target (age < 15 months) | 6/15 | n/a | n/a | |||
Attained before age 3 years | 15/15 | 7/20 | 4/53 | |||
Attained later | 4/20 | 16/53 | ||||
Not attained yet patients aged ≥ 5 years) | 9/20 | 33/53 | ||||
Walking without support | 100e | 57e | ≥29e,g | |||
Attained on target (age < 18 months) | 12/16 | n/a | 1/52 | |||
Attained before age 3 years | 16/16 | 17/30 | 2/52 | |||
Attained later | 9/30 | 12/52 | ||||
Not attained yet (in patients aged ≥ 5 years) | 4/30 | 19/52 | ||||
Delay on one or more milestone | 12/16 | 75 | 18/20 | 90 | 51/52 | 98 |
Behaviorf | ||||||
Attention deficit disorder ± hyperactivity | 8/23 | 35 | ||||
Obsessive–compulsive behavior | 6/19 | 32 | 10/26h | 38 | ||
Anxiety | 10/19 | 53 | ||||
Constant roaming | 3/15 | 20 | ||||
Aggression | 1/16 | 6 | 12/15h | 80 | ||
Self-injurious behavior | 1/18 | 6 | 11/31 | 35 | 47/61 | 77 |
Extreme shyness or withdrawal | 0/17 | 0 | ||||
Autistic-like features | 7/20 | 35 | 18/31h | 56 | 9/13h | 69 |
One or more behavioral domains affected | 14/25 | 56 |
HP human phenotype ontology identifier
aRAD21, 8 formal test results, others physician reported data. Equivalent HP is shown between brackets
bIncludes 2 adults with learning disabilities but reported normal cognitive functioning
cIncluding 2 moderate/severe
dOnly scored if child was older than target age
ePercentage of individuals that attain the milestone before age 3 years
fRAD21: 5 formal test results, others physician-reported data
gIncluding 18 patients that attained the milestone late, but age unknown
hBased on formal testing
14/25 RAD21 patients (56%) with sufficiently available information on behavior had problems, mainly features of anxiety, ADHD, ASD, and obsessive–compulsive behavior. ASD related problems, aggression and SIB were less prevalent compared to the SMCIA and NIPBL groups.
Genotype–phenotype comparisons in cohort A
Microdeletions versus intragenic variants
There was a trend towards higher CdLS scores and more frequently impaired growth parameters in patients with microdeletions compared to those with intragenic variants, but no differences were apparent in frequency of major malformations or cognitive and behavioral problems. We refrained from statistical analyses as small numbers would make results too unreliable and less useful. Exostoses, related to EXT1 haploinsufficiency, likely caused the upper limb anomalies.
Truncating versus non-truncating sequence variants
There was no difference in CdLS scores or growth parameters between individuals with truncating and those with non-truncating sequence variants (median 10; range 9–13 and median 9.5; range 5–12, respectively).
Malformations and genotype
For 12/15 patients with intragenic variants and major malformations or health problems, the variant was located in a protein-binding domain (F2, F3a, F8, F9, F11a, F11b, F12, F14a, F14b, F16a, F17, F18). As numbers are small it remains uncertain whether this is truly an association. The types of major malformations did not differ.
Intrafamilial variation
The intrafamilial variation can be considerable (Tables S1, S3-4; Fig. 3), especially in cognition and behavior. Through obvious ascertainment bias cognition is more frequently impaired in index cases. Several families include patients with ID and patients with apparently normal cognitive functioning. The intrafamilial variation cannot be explained by mosaicism in most families.
Discussion
We report on RAD21 variants in 49 individuals, some with sufficient clinical data (cohort A), others with limited clinical data (cohort B). RAD21 variants are frequently familial, often unique, and without obvious hotspots for variants or microdeletions breakpoints, although missense variants tend to cluster around protein binding domains.
RAD21 missense variants and their predicted effect on protein function
The structural and functional analysis indicated that at least six out of twelve modeled RAD21 missense variants are likely pathogenic (Ser345Pro, Pro367Arg, Cys585Arg, Arg586Gln (reported as a VUS), Gln592del and Leu603Pro). If phenotype data and literature/database information are taken into account, three more RAD21 modeled missense variants are likely pathogenic (Arg65Gln (reported as VUS), Phe600del, Ala622Thr).
The Arg65 is located within the RAS21-SMC3 domain in the close proximity of Tyr67, and altering the kinase/phosphatase recognition motif Arg-X-Tyr around Tyr67 may affect the phosphorylation-based regulation of RAD21 (Amanchy et al. 2011; Hoque and Ishikawa 2001; Hornbeck et al. 2015; Li et al. 2009). In addition, a contact between the PDS5 protein and the RAD21-SMC3/SMC3-head complex is involved in the topological entrapment of DNA by cohesin (Guacci et al. 2019). As Arg65 is located towards the solvent, Arg65Gln may impact the RAD21-PDS5 recognition and, thus, disturb their interaction.
The interaction between RAD21 and STAG1/2 is crucial for the proper functioning of the cohesin complex (Guacci et al. 2019), and both impairing (Ser345Pro) or over-stabilizing (Pro367Arg) variants within the RAD21-STAG domain are predicted to cause dysfunction of the complex, presumably through affecting the continuous cycle of formation and disengagement of the cohesin ring (Marcos-Alcalde et al. 2017).
The structural model of the RAD21-SMC1A domain rationalizes the key function of RAD21 in the ATPase reaction at the SMC1A/SMC3 head, which is pivotal to the opening of the cohesin ring, and thus the cyclic process (Marcos-Alcalde et al. 2017). The Cys585Arg and Arg586Gln variants destabilize the RAD21-SMC1A domain; and Gln592del and Leu603Pro (but not Phe600del) disturb the cyclic process through the dislocation of Lys605. Although the Phe600del variant does not seem to affect RAD21 structure, it leads to a classical CdLS phenotype without variants in additional known CdLS genes (using a targeted gene panel). Thus, it does seem likely pathogenic. Unfortunately, the crystal structure of RAD21 is not available for other domains or interacting partners such as WAPL and PDS5, but earlier molecular studies provide additional information for other missense variants.
The importance of the regulation of the interaction between RAD21-SMC1A and SMC1A/SMC3 head is demonstrated by the several residues involved in phosphorylation and ubiquitination in the RAD21-SMC1A domain (Hegemann et al. 2011; Hoque and Ishikawa 2001; Hornbeck et al. 2015). Ala622 is positioned next to Thr623, a substrate for protein phosphorylation by PLK1 (Hornbeck et al. 2015; Tsai et al. 2015). A pathogenic effect of variant Ala622Thr is supported by studies showing decreased bowel transit and loss of enteric neurons in zebrafish with Ala622Thr knockdown through morpholinos and by patients with biallelic Ala622Thr variants and Mungan syndrome with CIPO (chronic intestinal pseudo-obstruction) (Bonora et al. 2015). The heterozygous members of this family had some clinical features of the CdLS spectrum, but as it was not possible to retrieve further clinical data, it remains uncertain whether they have a full CdLS phenotype, and whether this variant can lead to a phenotype in heterozygous form.
For two additional variants that could not be modeled, the literature supports that they are likely pathogenic. Phe6 is found close to Ser9, a phosphorylation site described in the human proteome (Gauci et al. 2009; Guacci et al. 2019). The Phe6Val variant (reported as aVUS) would modify the kinase/phosphatase recognition motif, thus affecting the protein behavior. Similarly, as residue Thr461 is flanked by Ser residues (Ser459 and Ser466), both implicated in phosphorylation-regulated dissociation of cohesin from chromosome arms (Hauf et al. 2005; Hornbeck et al. 2015), it may modify the kinase/phosphatase recognition motif.
Clinical phenotype
Physical phenotype
RAD21 variants can lead to a CdLS phenotype (RAD21-CdLS). The (limited) available information of individuals from cohort B suggests that biallelic RAD21 variants can also lead to Mungan syndrome and monoallelic RAD21 variants to holoprosencephaly (like one case in cohort A) and possibly schizophrenia, although in the latter the association may be a spurious coincidence. In Table S6 we describe several additional cases with phenotypes including sclerocornea and schizophrenia, in which pathogenicity of the RAD21 variant is debatable. Due to incomplete information it remains uncertain whether these individuals are also showing CdLS characteristics. Indeed, when we succeeded in obtaining further clinical information, several individuals turned out to show CdLS characteristics not mentioned in the publication (for instance in the family with Mungan syndrome). Additionally, one may speculate that phenotypes are also attributable (possibly in addition to the RAD21 variant) to variants in other genes.
Comparison to phenotypes of NIPBL and SMC1A variants
In patients with sufficient clinical data available (cohort A) most features associated with CdLS are present. However, the prevalence of features is lower compared to those in the SMC1A and NIPBL cohort, and the degree of severity is typically less. Severe visual impairment and diaphragmatic hernias are rare in RAD21 patients, and feeding difficulties are uncommon. RAD21 patients less frequently have increased body hair (hirsutism, bushy eyebrows, low scalp hair lines), major limb malformations are not reported, and hands and feet are generally of normal size. Still, minor anomalies of hands and feet are common, such as fetal pads, abnormal flexion crease patterns, and camptodactyly. Patients with RAD21 variants have generally less impaired growth at birth, and short stature and microcephaly develop postnatally. Prenatal microcephaly has been demonstrated to be a predictor of more severe cognitive impairment in CdLS in the pre-molecular era (Hawley et al. 1985) but this does not hold for RAD21 patients. Frequency and severity of congenital heart defects are similar to those in the NIPBL and SMC1A cohorts. Gastro-esophageal reflux is similar in frequency but in RAD21 it is typically mild and restricted to early childhood. No RAD21 patients exhibit a Rett-like phenotype as can occur in a subgroup of patients with SMC1A variants (Huisman et al. 2017). The CdLS score remains a reliable tool, and the present study does not call for an adjustment of the diagnostic advice from the CdLS guidelines (Kline et al. 2018).
Unusual anomalies in the RAD21 cases are vertebral anomalies (clefts and hemivertebrae). There is a single individual with a NIPBL variant and Klippel–Feil anomaly (personal observation RCH), and upper cervical spine malformations have been reported in other patients with NIPBL variants as well (Bettini et al. 2014). Malformations of structures derived from the embryonic foregut are relatively frequent in RAD21 patients and have only rarely been described in CdLS (Hamilton et al. 2014; Kang et al. 2018; Mende et al. 2012). Holoprosencephaly spectrum anomalies have been linked to several cohesin genes (Kruszka et al. 2019), including RAD21, although in one individual this remains uncertain (Table S6). The prevalence of holoprosencephaly spectrum in RAD21-CdLS must remain uncertain as brain MRIs are typically not indicated in individuals with CdLS due to the burden of the procedure and lack of consequences of findings for care (Kline et al. 2018).
Development, cognition and behavior
Most data on cognition and behavior in the present cohort are based on subjective information provided by physicians and not on formal testing. Therefore, reliability remains uncertain. Still, all data point to a lower prevalence and decreased severity of ID in RAD21 patients compared to NIPBL and SMC1A groups: developmental milestones are more frequently attained, the cognitive level is estimated higher, and aggression and autism are less frequent. SIB, a hallmark of CdLS in general (Kline et al. 2018), is infrequent in RAD21 individuals.
Even if an IQ is normal, subtle difficulties in neuropsychological domains known to be affected in CdLS (Kline et al. 2018) may influence cognitive performance. Periodic formal screening for neuropsychological and behavioral problems is still warranted in all individuals with RAD21 variants, to allow for early recognition of problems and access to relevant support systems. In addition, formal (in-person) assessments can prevent misdiagnoses, such as autism, by putting behavioral characteristics into the perspective of the developmental level of patients (Mulder et al. 2019).
Natural history
The natural history data from the present study indicate that pregnancies and birth tend to progress normally, prenatal growth retardation being present in a small minority. About half of the patients have congenital anomalies (cleft palate; cardiac anomalies). Major limb defects have not been found; diaphragmatic hernia, anal atresia or choanal atresia occur occasionally. Patients have typically mild facial dysmorphisms, no small hands or feet, and increased body hair is less apparent compared to SMC1A and NIPBL patients. The clinical diagnosis of CdLS may, therefore, be difficult.
Neonatal feeding is usually not problematic. Reflux is common but not severe. Typical development is somewhat slow, mainly in speech development, and physical therapy or speech therapy may be indicated. As they grow up, children only occasionally develop new medical problems. Half of the children show a progressive but still mild growth delay in head circumference and height. Vision is mostly normal; hearing loss is found in a third of individuals and may require hearing devices. Most of the patients are able to attend regular education or education for children with mild cognitive disabilities. Most have some behavioral problems (mainly anxiety, ADHD or ASD) of limited severity, and aggression and SIB are uncommon. Not uncommonly, RAD21 patients are able to start a family, and some are only diagnosed when more severely affected offspring is recognized. This indicates that careful family analysis is paramount in each family in which someone is diagnosed with a RAD21 variant.
Genotype–phenotype associations
The relatively mild phenotype of patients with RAD21 variants seems to indicate that RAD21 is not highly intolerant to loss-of-function, in contrast to other CdLS-associated genes (NIPBL, SMC1A, PDS5, WAPL, STAG2) (Gause et al. 2010). Supporting this, Deardorff et al. found haploinsufficiency for RAD21 led to approximately halved RAD21 RNA in a cell line from a patient with classical CdLS, while haploinsufficiency for NIPBL is often associated with a compensatory upregulation of RNA levels, presumably from the intact allele (Borck et al. 2006; Deardorff et al. 2012; Newkirk et al. 2017). One may speculate that the effect of haploinsufficiency of RAD21 on the function of the cohesin ring can be compensated more effectively compared to the other cohesin genes. However, patients with haploinsufficiency for RAD21 due to microdeletions or truncating variants do not differ markedly from those with missense variants, and nonsense-mediated decay is not apparent although in the present series of patients this was not formally tested. It remains uncertain whether duplication of the whole gene can lead to a CdLS phenotype, as demonstrated for duplications in STAG2 and SMC1A (Baquero-Montoya et al. 2014; Mullegama et al. 2019), as all duplications we retrieved, were either including several other genes or pathogenicity could not be confirmed. No fully intragenic duplication is known to us. Small duplications have also been detected in apparently healthy controls (unpublished observations J. Howe).
In general, protein studies combined with a detailed phenotype allow often, but not always, to probe for RAD21 dysfunction in patients with variants of doubtful meaning. The phenotype in individuals with RAD21 variants is not only determined by the variant itself but potentially also by other factors: (1) variable expression of cohesin subunits and/or binding partners in different tissues; (2) variable formation of isoforms in different tissues; (3) modifying genes, especially of the cohesin complex (Yuan et al. 2019); (4) epigenetic factors such as DNA methylation and gene silencing (Aref-Eshghi et al. 2019), exogenous influences including support and education, and other factors such as host-microbiome interactions. Exact phenotypic consequences, if any, of each of the above are unknown. Specifically epigenetic influences may be important. Genome-wide methylation patterns (epi-signatures) have been shown to be altered in CdLS (Aref-Eshghi et al. 2020). Likely, complex interactions between several of the above factors play a role.
In counseling of families with RAD21 variants, the relatively high frequency of familial occurrence and marked intrafamilial and interfamilial variability should be mentioned. Parental testing is warranted, even if signs or symptoms are apparently absent in parents, and standard testing of parents may further broaden the phenotype of RAD21 variants. We suggest a cautious use of data on variants in molecular databases, as due to the extremely variable and sometimes very mild phenotype wrong conclusions may be drawn in classifying the variants. In case of a CdLS phenotype and detection of a VUS in RAD21 in which pathogenicity cannot be determined using clinical and molecular data of the parents, we recommend testing for variants in other CdLS associated genes and eventually carry out ‘open’ exome/genome sequencing to rule out variants in other genes.
Limitations
Although we used a broad search strategy and the present RAD21 cohort is the largest reported thus far, numbers are still small, and these preclude further statistical analyses. We did not consider variants from ClinVar or Decipher that were reportedly (likely) benign, but we expect that these may contain some pathogenic variants discarded based on an overlooked (mild) phenotype. Furthermore, many variants are reported with insufficient clinical data preventing such patients to be included in the present series. Especially morphological data are often missing, and we stress the importance of the use of the CdLS consensus data in evaluating individuals with variants in cohesin genes (Kline et al. 2018). Next generation sequencing-based technologies such as gene panels or ‘open’ exome/genome sequencing remains to be introduced in many countries, and we expect identification of many additional patients with pathogenic RAD21 variants as clinical recognition may be difficult. Finally, we may have an acquisition bias due to the involvement of specialists in CdLS, causing an overrepresentation of individuals with a CdLS phenotype.
Future
The present results demonstrate that more information on larger groups of individuals with RAD21 variants is needed to determine the complete phenotypic spectrum. CdLS characteristics such as sleep disturbances and autonomic dysfunctions in individuals with RAD21 variants are still largely unknown. A specific issue that needs attention is the risk to develop cancer (incidentally reported to date in RAD21 patients) (Deardorff et al. 2012; Minor et al. 2014). We call also for more detailed study of cognitive, behavioral and psychiatric phenotypes, as these are of utmost importance in clinical care. Molecular and cellular mechanisms underlying cognitive problems are unclear, although cohesin-mediated 3D-organization of the genome is suggested to play a role in neuronal plasticity (Fujita and Yamashita 2018). Studying RAD21 and other cohesin components in this process could contribute to the search for targeted influencing of cognition and especially behavior in CdLS. Effects of RAD21 variants on cellular functioning and relationships between genotype and phenotype may be elucidated further by studying epi-signatures. This may explain presently unexpected discrepancies between genotype and phenotype, and even allow for establishing pathogenicity in individuals with uncertain molecular findings.
Methods
Patients
Patients were gathered using a combination of literature and database search and network inquiries (see Supporting Information). A dedicated questionnaire was used to gather clinical, molecular, cognitive and behavioral data. If allowed by the family clinical pictures were gathered for the scoring of facial characteristics by the senior author (RCH). If no clinical pictures were available to us (n = 3 in cohort A) the clinician-reported description of facial characteristics was accepted. The CdLS clinical score (reflecting the similarity of clinical features to those in classical CdLS) was computed using cardinal features (2 points each) and suggestive features (1 point each) according to Kline et al. (2018).
Information on cognitive functioning and behavioral problems was derived from physician-reported data, if possible substantiated with results of formal testing. For the CdLS clinical score, minor criterion “ID or global DD” was scored positive if ID or global DD (global developmental delay; a combination of delay in at least 2 developmental domains) was present, at any age. Elsewhere in the manuscript, cognitive functioning has been classified into categories based on DSM-5.
To compare the RAD21 phenotype to CdLS patients with variants in other genes, clinical data were obtained from existing NIPBL and SMC1A cohorts (Huisman et al. 2017; Mulder et al. 2019), to which we added further information if needed. For comparison of features of ASD and aggression in NIPBL patients, we derived information from the UK cohort (Moss et al. 2017). For the item ‘autistic like behavior’, we compared with scores from the Social Communication Questionnaire (number above cut-off for ASD); for the item ‘aggression’ with presence of verbal aggression, physical aggression or property destruction on the Challenging Behavior Questionnaire; and for ‘obsessive–compulsive behavior’ with the number of patients with one or more items of the compulsive behavior subscale of the Repetitive Behavior Questionnaire above clinical cutoff.
Based on the availability of clinical data, we composed two cohorts: cohort A with sufficient clinical data available on all cardinal CdLS features, and cohort B with incomplete clinical data. We provide an overview of excluded cases in Supporting Information Table S6.
Molecular studies
Among the 29 patients (22 index) of cohort A, a clinical diagnosis of CdLS was suspected in 13 index cases, which allowed detection of RAD21 variants using array comparative genomic hybridization [CGH (n = 1), Sanger sequencing (n = 6), ‘whole’ exome sequencing (WES, n = 2), or targeted exome sequencing searching for variants in genes that can cause intellectual disability (ID-WES, n = 4)]. Confirmation by Sanger sequencing of an exome result was only performed if the coverage of the exome was thought to be of insufficient quality. The other nine index cases were detected through Sanger sequencing of a series of candidate genes after excluding a clinical diagnosis (KBG syndrome, n = 1), or after WES (n = 2), ID-WES (n = 3), or array CGH or SNP array (n = 3). All molecular studies were performed for diagnostic reasons, following the various national regulations, and for none of the patients studies were performed because of the current research. For describing the variants coding DNA reference sequence NM_006265.2(RAD21_v001) is used.
Structure modeling of RAD21 variants
We checked the predicted effect of all missense variants retrieved with the splice prediction tool of the Alamut software (https://www.interactive-biosoftware.com/alamut-visual/). We proceeded with all variants which could be modelled regardless of their reported classification to retrieve further evidence for their effect (or lack of it) on protein function.
A set of three wild-type and twelve variant protein models was generated through standard homology modeling procedures using the SWISS-MODEL server (http://swissmodel.expasy.org; see Supporting Information). These were used to study the structural effects of the missense variants located in the protein domains in contact with SMC3 (RAD21 N-terminus; RAD21-SMC3), STAG1/2 (RAD21-STAG) or SMC1A (RAD21 C-terminus, RAD21-SMC1A).
Molecular dynamics simulations
To analyze the putative effect of variants on the RAD21 structure, the behavior of the 12 variant proteins were compared to that of wild type models by free molecular dynamics (MD) simulation for 60–100 ns (ns) (see Supporting Information). Movements during the trajectories were continuously measured by root-mean square deviation (RMSD) of atomic positions. Large variations of RMSD values indicate notable distortions of protein structure due to the abnormal amino acid variant. RAD21 domains were modeled in complex with the accompanying proteins, to facilitate functional evaluation of variants along the MD trajectories.
Ethics
All clinical investigation has been conducted according to Declaration of Helsinki principles. Written informed consent was received from participants prior to inclusion in the study. Patients or their legal representatives have provided written consent for using images. The Medical Ethics Committee of the Amsterdam UMC approved the study (NL39553.018.12).
Electronic supplementary material
Below is the link to the electronic supplementary material.
Acknowledgements
We thank Drs. Wait Kit Chu, Cheryl Greenberg, Jennifer Howe, Frank Kaiser, Tonie Kline, Antonio Pérez-Aytes, Chitra Prassad, Beatriz Puisac and Mrs M. Towne for their efforts to retrieve additional data on cases. We thank of Hansol Lee, Byung-Ha Oh and Stephan Gruber for allowing use of their Pyrococcus yayanosii SMC ring structure as a template. This work was supported by grants from the Spanish Ministry of Science, Innovation and Universities/State Research Agency RTC-2017-6494-1 and RTI2018-094434-B-I00 (MCIU/AEI/FEDER, UE) as well as funds from the European JPIAMR-VRI network “CONNECT” to PG-P. The computational support of the “Centro de Computación Científica CCC-UAM” is gratefully recognized. This work is generated within the European Reference Network ITHACA.
Author contributions
LCK, ZT and RCH designed the study. LCK, ABP and RCH acquired data. LCK, ZT and RCH analyzed the data. IM-A and PG-P performed protein studies. LCK, ZT, PG-P and RCH wrote the manuscript. MA, MB, JBA, AB, KC, DF, SG, SMcK, SMM, LAM, FM, JAM, ODM, MP, JP, FJR, CR, ES, MS and RCH provided (updated) clinical data for one or more cases. SH, PAM and RCH provided additional data for the NIPBL and SMC1A patient cohorts. SH, PAM, SM and LAM contributed to fruitful discussions. All authors revised the manuscript before submission.
Funding
RTC-2017-6494-1, RTI2018-094434-B-I00, European JPIAMR-VRI network “CONNECT”, FIS PI15/00707, DGA-Feder Group B32_17R.
Compliance with ethical standards
Conflict of interest
The Department of Molecular and Human Genetics at Baylor College of Medicine receives revenue from clinical genetic testing conducted at Baylor Genetics Laboratories.
Footnotes
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Zeynep Tümer and Raoul C. Hennekam contributed equally.
Contributor Information
Lianne C. Krab, Email: lkrab@cordaan.nl
Zeynep Tümer, Email: Zeynep.tumer@regionh.dk.
Raoul C. Hennekam, Email: R.c.hennekam@amsterdamumc.nl
References
- Amanchy R, Kandasamy K, Mathivanan S, Periaswamy B, Reddy R, Yoon WH, Joore J, Beer MA, Cope L, Pandey A. Identification of novel phosphorylation motifs through an integrative computational and experimental analysis of the human phosphoproteome. J Proteomics Bioinform. 2011;4(2):22–35. doi: 10.4172/jpb.1000163. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ansari M, Poke G, Ferry Q, Williamson K, Aldridge R, Meynert AM, Bengani H, Chan CY, Kayserili H, Avci S, Hennekam RC, Lampe AK, Redeker E, Homfray T, Ross A, Falkenberg Smeland M, Mansour S, Parker MJ, Cook JA, Splitt M, Fisher RB, Fryer A, Magee AC, Wilkie A, Barnicoat A, Brady AF, Cooper NS, Mercer C, Deshpande C, Bennett CP, Pilz DT, Ruddy D, Cilliers D, Johnson DS, Josifova D, Rosser E, Thompson EM, Wakeling E, Kinning E, Stewart F, Flinter F, Girisha KM, Cox H, Firth HV, Kingston H, Wee JS, Hurst JA, Clayton-Smith J, Tolmie J, Vogt J, Tatton-Brown K, Chandler K, Prescott K, Wilson L, Behnam M, McEntagart M, Davidson R, Lynch SA, Sisodiya S, Mehta SG, McKee SA, Mohammed S, Holden S, Park SM, Holder SE, Harrison V, McConnell V, Lam WK, Green AJ, Donnai D, Bitner-Glindzicz M, Donnelly DE, Nellaker C, Taylor MS, FitzPatrick DR. Genetic heterogeneity in Cornelia de Lange syndrome (CdLS) and CdLS-like phenotypes with observed and predicted levels of mosaicism. J Med Genet. 2014;51(10):659–668. doi: 10.1136/jmedgenet-2014-102573. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Aref-Eshghi E, Bend EG, Colaiacovo S, Caudle M, Chakrabarti R, Napier M, Brick L, Brady L, Carere DA, Levy MA, Kerkhof J, Stuart A, Saleh M, Beaudet AL, Li C, Kozenko M, Karp N, Prasad C, Siu VM, Tarnopolsky MA, Ainsworth PJ, Lin H, Rodenhiser DI, Krantz ID, Deardorff MA, Schwartz CE, Sadikovic B. Diagnostic utility of genome-wide DNA methylation testing in genetically unsolved individuals with suspected hereditary conditions. Am J Hum Genet. 2019;104(4):685–700. doi: 10.1016/j.ajhg.2019.03.008. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Aref-Eshghi E, Kerkhof J, Pedro VP, Barat-Houari M, Ruiz- Pallares N, Andrau JC, Lacombe D, Van-Gils J, Fergelot P, Dubourg C, Sadikovic B (2020) Evaluation of DNA methylation EpiSigns for diagnosis and phenotype correlations in 42 Mendelian neurodevelopmental disorders. Am J Hum Genet (in press) [DOI] [PMC free article] [PubMed]
- Baquero-Montoya C, Gil-Rodriguez MC, Teresa-Rodrigo ME, Hernandez-Marcos M, Bueno-Lozano G, Bueno-Martinez I, Remeseiro S, Fernandez-Hernandez R, Bassecourt-Serra M, Rodriguez de Alba M, Queralt E, Losada A, Puisac B, Ramos FJ, Pie J. Could a patient with SMC1A duplication be classified as a human cohesinopathy? Clin Genet. 2014;85(5):446–451. doi: 10.1111/cge.12194. [DOI] [PubMed] [Google Scholar]
- Bettini LR, Locatelli L, Mariani M, Cianci P, Giussani C, Canonico F, Cereda A, Russo S, Gervasini C, Biondi A, Selicorni A. Cervical spine malformation in Cornelia de Lange syndrome: a report of three patients. Am J Med Genet A. 2014;164A(6):1520–1524. doi: 10.1002/ajmg.a.36457. [DOI] [PubMed] [Google Scholar]
- Bonora E, Bianco F, Cordeddu L, Bamshad M, Francescatto L, Dowless D, Stanghellini V, Cogliandro RF, Lindberg G, Mungan Z, Cefle K, Ozcelik T, Palanduz S, Ozturk S, Gedikbasi A, Gori A, Pippucci T, Graziano C, Volta U, Caio G, Barbara G, D’Amato M, Seri M, Katsanis N, Romeo G, De Giorgio R. Mutations in RAD21 disrupt regulation of APOB in patients with chronic intestinal pseudo-obstruction. Gastroenterology. 2015;148(4):771–782 e711. doi: 10.1053/j.gastro.2014.12.034. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Borck G, Zarhrate M, Cluzeau C, Bal E, Bonnefont JP, Munnich A, Cormier-Daire V, Colleaux L. Father-to-daughter transmission of Cornelia de Lange syndrome caused by a mutation in the 5’ untranslated region of the NIPBL Gene. Hum Mutat. 2006;27(8):731–735. doi: 10.1002/humu.20380. [DOI] [PubMed] [Google Scholar]
- Boyle MI, Jespersgaard C, Nazaryan L, Bisgaard AM, Tumer Z. A novel RAD21 variant associated with intrafamilial phenotypic variation in Cornelia de Lange syndrome—review of the literature. Clin Genet. 2017;91(4):647–649. doi: 10.1111/cge.12863. [DOI] [PubMed] [Google Scholar]
- Deardorff MA, Wilde JJ, Albrecht M, Dickinson E, Tennstedt S, Braunholz D, Monnich M, Yan Y, Xu W, Gil-Rodriguez MC, Clark D, Hakonarson H, Halbach S, Michelis LD, Rampuria A, Rossier E, Spranger S, Van Maldergem L, Lynch SA, Gillessen-Kaesbach G, Ludecke HJ, Ramsay RG, McKay MJ, Krantz ID, Xu H, Horsfield JA, Kaiser FJ. RAD21 mutations cause a human cohesinopathy. Am J Hum Genet. 2012;90(6):1014–1027. doi: 10.1016/j.ajhg.2012.04.019. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Dorval S, Masciadri M, Mathot M, Russo S, Revencu N, Larizza L. A novel RAD21 mutation in a boy with mild Cornelia de Lange presentation: Further delineation of the phenotype. Eur J Med Genet. 2019 doi: 10.1016/j.ejmg.2019.01.010. [DOI] [PubMed] [Google Scholar]
- Fisher JB, Peterson J, Reimer M, Stelloh C, Pulakanti K, Gerbec ZJ, Abel AM, Strouse JM, Strouse C, McNulty M, Malarkannan S, Crispino JD, Milanovich S, Rao S. The cohesin subunit Rad21 is a negative regulator of hematopoietic self-renewal through epigenetic repression of Hoxa7 and Hoxa9. Leukemia. 2017;31(3):712–719. doi: 10.1038/leu.2016.240. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Fujita Y, Yamashita T. Spatial organization of genome architecture in neuronal development and disease. Neurochem Int. 2018;119:49–56. doi: 10.1016/j.neuint.2017.06.014. [DOI] [PubMed] [Google Scholar]
- Gauci S, Helbig AO, Slijper M, Krijgsveld J, Heck AJ, Mohammed S. Lys-N and trypsin cover complementary parts of the phosphoproteome in a refined SCX-based approach. Anal Chem. 2009;81(11):4493–4501. doi: 10.1021/ac9004309. [DOI] [PubMed] [Google Scholar]
- Gause M, Misulovin Z, Bilyeu A, Dorsett D. Dosage-sensitive regulation of cohesin chromosome binding and dynamics by Nipped-B, Pds5, and Wapl. Mol Cell Biol. 2010;30(20):4940–4951. doi: 10.1128/MCB.00642-10. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Guacci V, Chatterjee F, Robison B, Koshland DE. Communication between distinct subunit interfaces of the cohesin complex promotes its topological entrapment of DNA. Elife. 2019;8:e46347. doi: 10.7554/eLife.46347. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Gudmundsson S, Anneren G, Marcos-Alcalde I, Wilbe M, Melin M, Gomez-Puertas P, Bondeson ML. A novel RAD21 p.(Gln592del) variant expands the clinical description of Cornelia de Lange syndrome type 4—review of the literature. Eur J Med Genet. 2018 doi: 10.1016/j.ejmg.2018.08.007. [DOI] [PubMed] [Google Scholar]
- Hamilton J, Clement WA, Kubba H. Otolaryngological presentations of Cornelia de Lange syndrome. Int J Pediatr Otorhinolaryngol. 2014;78(9):1548–1550. doi: 10.1016/j.ijporl.2014.05.032. [DOI] [PubMed] [Google Scholar]
- Hauf S, Roitinger E, Koch B, Dittrich CM, Mechtler K, Peters JM. Dissociation of cohesin from chromosome arms and loss of arm cohesion during early mitosis depends on phosphorylation of SA2. PLoS Biol. 2005;3(3):e69. doi: 10.1371/journal.pbio.0030069. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Hawley PP, Jackson LG, Kurnit DM. Sixty-four patients with Brachmann-de Lange syndrome: a survey. Am J Med Genet. 1985;20(3):453–459. doi: 10.1002/ajmg.1320200306. [DOI] [PubMed] [Google Scholar]
- Hegemann B, Hutchins JR, Hudecz O, Novatchkova M, Rameseder J, Sykora MM, Liu S, Mazanek M, Lenart P, Heriche JK, Poser I, Kraut N, Hyman AA, Yaffe MB, Mechtler K, Peters JM. Systematic phosphorylation analysis of human mitotic protein complexes. Sci Signal. 2011;4(198):rs12. doi: 10.1126/scisignal.2001993. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Hoque MT, Ishikawa F. Human chromatid cohesin component hRad21 is phosphorylated in M phase and associated with metaphase centromeres. J Biol Chem. 2001;276(7):5059–5067. doi: 10.1074/jbc.M007809200. [DOI] [PubMed] [Google Scholar]
- Hornbeck PV, Zhang B, Murray B, Kornhauser JM, Latham V, Skrzypek E. PhosphoSitePlus, 2014: mutations, PTMs and recalibrations. Nucleic Acids Res. 2015;43(Database issue):D512–D520. doi: 10.1093/nar/gku1267. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Huisman S, Mulder PA, Redeker E, Bader I, Bisgaard AM, Brooks A, Cereda A, Cinca C, Clark D, Cormier-Daire V, Deardorff MA, Diderich K, Elting M, van Essen A, FitzPatrick D, Gervasini C, Gillessen-Kaesbach G, Girisha KM, Hilhorst-Hofstee Y, Hopman S, Horn D, Isrie M, Jansen S, Jespersgaard C, Kaiser FJ, Kaur M, Kleefstra T, Krantz ID, Lakeman P, Landlust A, Lessel D, Michot C, Moss J, Noon SE, Oliver C, Parenti I, Pie J, Ramos FJ, Rieubland C, Russo S, Selicorni A, Tumer Z, Vorstenbosch R, Wenger TL, van Balkom I, Piening S, Wierzba J, Hennekam RC. Phenotypes and genotypes in individuals with SMC1A variants. Am J Med Genet A. 2017;173(8):2108–2125. doi: 10.1002/ajmg.a.38279. [DOI] [PubMed] [Google Scholar]
- Kamada K, Barilla D. Combing chromosomal DNA mediated by the SMC complex: structure and mechanisms. Bioessays. 2018;40(2):1700166. doi: 10.1002/bies.201700166. [DOI] [PubMed] [Google Scholar]
- Kang MJ, Ahn SM, Hwang IT. A novel frameshift mutation (c.5387_5388insTT) in NIPBL in Cornelia de Lange syndrome with severe phenotype. Ann Clin Lab Sci. 2018;48(1):106–109. [PubMed] [Google Scholar]
- Kline AD, Moss JF, Selicorni A, Bisgaard AM, Deardorff MA, Gillett PM, Ishman SL, Kerr LM, Levin AV, Mulder PA, Ramos FJ, Wierzba J, Ajmone PF, Axtell D, Blagowidow N, Cereda A, Costantino A, Cormier-Daire V, FitzPatrick D, Grados M, Groves L, Guthrie W, Huisman S, Kaiser FJ, Koekkoek G, Levis M, Mariani M, McCleery JP, Menke LA, Metrena A, O’Connor J, Oliver C, Pie J, Piening S, Potter CJ, Quaglio AL, Redeker E, Richman D, Rigamonti C, Shi A, Tumer Z, Van Balkom IDC, Hennekam RC. Diagnosis and management of Cornelia de Lange syndrome: first international consensus statement. Nat Rev Genet. 2018;19(10):649–666. doi: 10.1038/s41576-018-0031-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kruszka P, Berger SI, Casa V, Dekker MR, Gaesser J, Weiss K, Martinez AF, Murdock DR, Louie RJ, Prijoles EJ, Lichty AW, Brouwer OF, Zonneveld-Huijssoon E, Stephan MJ, Hogue J, Hu P, Tanima-Nagai M, Everson JL, Prasad C, Cereda A, Iascone M, Schreiber A, Zurcher V, Corsten-Janssen N, Escobar L, Clegg NJ, Delgado MR, Hajirnis O, Balasubramanian M, Kayserili H, Deardorff M, Poot RA, Wendt KS, Lipinski RJ, Muenke M. Cohesin complex-associated holoprosencephaly. Brain. 2019;142(9):2631–2643. doi: 10.1093/brain/awz210. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Lee H, Deignan JL, Dorrani N, Strom SP, Kantarci S, Quintero-Rivera F, Das K, Toy T, Harry B, Yourshaw M, Fox M, Fogel BL, Martinez-Agosto JA, Wong DA, Chang VY, Shieh PB, Palmer CG, Dipple KM, Grody WW, Vilain E, Nelson SF. Clinical exome sequencing for genetic identification of rare Mendelian disorders. JAMA. 2014;312(18):1880–1887. doi: 10.1001/jama.2014.14604. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Li H, Ren Z, Kang X, Zhang L, Li X, Wang Y, Xue T, Shen Y, Liu Y. Identification of tyrosine-phosphorylated proteins associated with metastasis and functional analysis of FER in human hepatocellular carcinoma cells. BMC Cancer. 2009;9:366. doi: 10.1186/1471-2407-9-366. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Maas SM, Shaw AC, Bikker H, Ludecke HJ, van der Tuin K, Badura-Stronka M, Belligni E, Biamino E, Bonati MT, Carvalho DR, Cobben J, de Man SA, Den Hollander NS, Di Donato N, Garavelli L, Gronborg S, Herkert JC, Hoogeboom AJ, Jamsheer A, Latos-Bielenska A, Maat-Kievit A, Magnani C, Marcelis C, Mathijssen IB, Nielsen M, Otten E, Ousager LB, Pilch J, Plomp A, Poke G, Poluha A, Posmyk R, Rieubland C, Silengo M, Simon M, Steichen E, Stumpel C, Szakszon K, Polonkai E, van den Ende J, van der Steen A, van Essen T, van Haeringen A, van Hagen JM, Verheij JB, Mannens MM, Hennekam RC. Phenotype and genotype in 103 patients with tricho-rhino-phalangeal syndrome. Eur J Med Genet. 2015;58(5):279–292. doi: 10.1016/j.ejmg.2015.03.002. [DOI] [PubMed] [Google Scholar]
- Marcos-Alcalde I, Mendieta-Moreno JI, Puisac B, Gil-Rodriguez MC, Hernandez-Marcos M, Soler-Polo D, Ramos FJ, Ortega J, Pie J, Mendieta J, Gomez-Puertas P. Two-step ATP-driven opening of cohesin head. Sci Rep. 2017;7(1):3266. doi: 10.1038/s41598-017-03118-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Martinez F, Caro-Llopis A, Rosello M, Oltra S, Mayo S, Monfort S, Orellana C. High diagnostic yield of syndromic intellectual disability by targeted next-generation sequencing. J Med Genet. 2017;54(2):87–92. doi: 10.1136/jmedgenet-2016-103964. [DOI] [PubMed] [Google Scholar]
- McBrien J, Crolla JA, Huang S, Kelleher J, Gleeson J, Lynch SA. Further case of microdeletion of 8q24 with phenotype overlapping Langer-Giedion without TRPS1 deletion. Am J Med Genet A. 2008;146A(12):1587–1592. doi: 10.1002/ajmg.a.32347. [DOI] [PubMed] [Google Scholar]
- McKay MJ, Troelstra C, van der Spek P, Kanaar R, Smit B, Hagemeijer A, Bootsma D, Hoeijmakers JH. Sequence conservation of the rad21 Schizosaccharomyces pombe DNA double-strand break repair gene in human and mouse. Genomics. 1996;36(2):305–315. doi: 10.1006/geno.1996.0466. [DOI] [PubMed] [Google Scholar]
- Mende RH, Drake DP, Olomi RM, Hamel BC. Cornelia de Lange syndrome: a newborn with imperforate anus and a NIPBL mutation. Case Rep Genet. 2012;2012:247683. doi: 10.1155/2012/247683. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Minor A, Shinawi M, Hogue JS, Vineyard M, Hamlin DR, Tan C, Donato K, Wysinger L, Botes S, Das S, Del Gaudio D. Two novel RAD21 mutations in patients with mild Cornelia de Lange syndrome-like presentation and report of the first familial case. Gene. 2014;537(2):279–284. doi: 10.1016/j.gene.2013.12.045. [DOI] [PubMed] [Google Scholar]
- Moss J, Penhallow J, Ansari M, Barton S, Bourn D, FitzPatrick DR, Goodship J, Hammond P, Roberts C, Welham A, Oliver C. Genotype–phenotype correlations in Cornelia de Lange syndrome: behavioral characteristics and changes with age. Am J Med Genet A. 2017;173(6):1566–1574. doi: 10.1002/ajmg.a.38228. [DOI] [PubMed] [Google Scholar]
- Mulder PA, Huisman S, Landlust AM, Moss J, Consortium SA, Piening S, Hennekam RC, van Balkom IDC. Development, behaviour and autism in individuals with SMC1A variants. J Child Psychol Psychiatry. 2019;60(3):305–313. doi: 10.1111/jcpp.12979. [DOI] [PubMed] [Google Scholar]
- Mullegama SV, Klein SD, Signer RH, Center UCG, Vilain E, Martinez-Agosto JA. Mutations in STAG2 cause an X-linked cohesinopathy associated with undergrowth, developmental delay, and dysmorphia: Expanding the phenotype in males. Mol Genet Genomic Med. 2019;7(2):e00501. doi: 10.1002/mgg3.501. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Mullenders J, Aranda-Orgilles B, Lhoumaud P, Keller M, Pae J, Wang K, Kayembe C, Rocha PP, Raviram R, Gong Y, Premsrirut PK, Tsirigos A, Bonneau R, Skok JA, Cimmino L, Hoehn D, Aifantis I. Cohesin loss alters adult hematopoietic stem cell homeostasis, leading to myeloproliferative neoplasms. J Exp Med. 2015;212(11):1833–1850. doi: 10.1084/jem.20151323. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Mungan Z, Akyuz F, Bugra Z, Yonall O, Ozturk S, Acar A, Cevikbas U. Familial visceral myopathy with pseudo-obstruction, megaduodenum, Barrett’s esophagus, and cardiac abnormalities. Am J Gastroenterol. 2003;98(11):2556–2560. doi: 10.1111/j.1572-0241.2003.08707.x. [DOI] [PubMed] [Google Scholar]
- Newkirk DA, Chen YY, Chien R, Zeng W, Biesinger J, Flowers E, Kawauchi S, Santos R, Calof AL, Lander AD, Xie X, Yokomori K. The effect of nipped-B-like (Nipbl) haploinsufficiency on genome-wide cohesin binding and target gene expression: modeling Cornelia de Lange syndrome. Clin Epigenet. 2017;9:89. doi: 10.1186/s13148-017-0391-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Pati D, Zhang N, Plon SE. Linking sister chromatid cohesion and apoptosis: role of Rad21. Mol Cell Biol. 2002;22(23):8267–8277. doi: 10.1128/MCB.22.23.8267-8277.2002. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Pereza N, Severinski S, Ostojic S, Volk M, Maver A, Dekanic KB, Kapovic M, Peterlin B. Third case of 8q23.3-q24.13 deletion in a patient with Langer-Giedion syndrome phenotype without TRPS1 gene deletion. Am J Med Genet A. 2012;158A(3):659–663. doi: 10.1002/ajmg.a.35201. [DOI] [PubMed] [Google Scholar]
- Tsai CF, Wang YT, Yen HY, Tsou CC, Ku WC, Lin PY, Chen HY, Nesvizhskii AI, Ishihama Y, Chen YJ. Large-scale determination of absolute phosphorylation stoichiometries in human cells by motif-targeting quantitative proteomics. Nat Commun. 2015;6:6622. doi: 10.1038/ncomms7622. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Watrin E, Kaiser FJ, Wendt KS. Gene regulation and chromatin organization: relevance of cohesin mutations to human disease. Curr Opin Genet Dev. 2016;37:59–66. doi: 10.1016/j.gde.2015.12.004. [DOI] [PubMed] [Google Scholar]
- Woods SA, Robinson HB, Kohler LJ, Agamanolis D, Sterbenz G, Khalifa M. Exome sequencing identifies a novel EP300 frame shift mutation in a patient with features that overlap Cornelia de Lange syndrome. Am J Med Genet A. 2014;164A(1):251–258. doi: 10.1002/ajmg.a.36237. [DOI] [PubMed] [Google Scholar]
- Wuyts W, Roland D, Ludecke HJ, Wauters J, Foulon M, Van Hul W, Van Maldergem L. Multiple exostoses, mental retardation, hypertrichosis, and brain abnormalities in a boy with a de novo 8q24 submicroscopic interstitial deletion. Am J Med Genet. 2002;113(4):326–332. doi: 10.1002/ajmg.10845. [DOI] [PubMed] [Google Scholar]
- Yuan B, Neira J, Pehlivan D, Santiago-Sim T, Song X, Rosenfeld J, Posey JE, Patel V, Jin W, Adam MP, Baple EL, Dean J, Fong CT, Hickey SE, Hudgins L, Leon E, Madan-Khetarpal S, Rawlins L, Rustad CF, Stray-Pedersen A, Tveten K, Wenger O, Diaz J, Jenkins L, Martin L, McGuire M, Pietryga M, Ramsdell L, Slattery L, Study DDD, Abid F, Bertuch AA, Grange D, Immken L, Schaaf CP, Van Esch H, Bi W, Cheung SW, Breman AM, Smith JL, Shaw C, Crosby AH, Eng C, Yang Y, Lupski JR, Xiao R, Liu P. Clinical exome sequencing reveals locus heterogeneity and phenotypic variability of cohesinopathies. Genet Med. 2019;21(3):663–675. doi: 10.1038/s41436-018-0085-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Yuen RK, Thiruvahindrapuram B, Merico D, Walker S, Tammimies K, Hoang N, Chrysler C, Nalpathamkalam T, Pellecchia G, Liu Y, Gazzellone MJ, D’Abate L, Deneault E, Howe JL, Liu RS, Thompson A, Zarrei M, Uddin M, Marshall CR, Ring RH, Zwaigenbaum L, Ray PN, Weksberg R, Carter MT, Fernandez BA, Roberts W, Szatmari P, Scherer SW. Whole-genome sequencing of quartet families with autism spectrum disorder. Nat Med. 2015;21(2):185–191. doi: 10.1038/nm.3792. [DOI] [PubMed] [Google Scholar]
- Zhang BN, Chan TCY, Tam POS, Liu Y, Pang CP, Jhanji V, Chen LJ, Chu WK. A cohesin subunit variant identified from a peripheral sclerocornea pedigree. Dis Mark. 2019;2019:8781524. doi: 10.1155/2019/8781524. [DOI] [PMC free article] [PubMed] [Google Scholar]
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