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. Author manuscript; available in PMC: 2009 Nov 3.
Published in final edited form as: Hum Mutat. 2009 Oct;30(10):E921–E935. doi: 10.1002/humu.21090

The Mutational Spectrum of Holoprosencephaly-Associated Changes within the SHH Gene in Humans Predicts Loss-of-Function Through Either Key Structural Alterations of the Ligand or Its Altered Synthesis

Erich Roessler 1,#, Kenia B El-Jaick 1,#, Christèle Dubourg 2,3,#, Jorge I Vélez 1, Benjamin D Solomon 1, Daniel E Pineda-Álvarez 1, Felicitas Lacbawan 1, Nan Zhou 1, Maia Ouspenskaia 1, Aimée Paulussen 4, Hubert J Smeets 4, Ute Hehr 5, Claude Bendavid 2,3, Sherri Bale 6, Sylvie Odent 3,7, Véronique David 2,3, Maximilian Muenke 1,*
PMCID: PMC2772877  NIHMSID: NIHMS142527  PMID: 19603532

Abstract

Mutations within either the SHH gene or its related pathway components are the most common, and best understood, pathogenetic changes observed in holoprosencephaly patients; this fact is consistent with the essential functions of this gene during forebrain development and patterning. Here we summarize the nature and types of deleterious sequence alterations among over one hundred distinct mutations in the SHH gene (64 novel mutations) and compare these to over a dozen mutations in disease-related Hedgehog family members IHH and DHH. This combined structural analysis suggests that dysfunction of Hedgehog signaling in human forebrain development can occur through truncations or major structural changes to the signaling domain, SHH-N, as well as due to defects in the processing of the mature ligand from its pre-pro-precursor or defective post-translation bi-lipid modifications with palmitate and cholesterol

Keywords: holoprosencephaly, mutation spectrum, SHH, protein processing

INTRODUCTION

Alterations in the SHH gene (Roessler et al., 1996, 1997a; Nanni et al., 1999; MIM# 600725; HPE3 #142945) attributable to chromosomal rearrangements (Roessler et al., 1997b), microdeletions (Lacbawan and Muenke, in preparation; Bendavid et al., 2005a, b), or more commonly point mutations account for at least 6-8% of heterozygous sequence-detectable holoprosencephaly (HPE) related genetic variation (Orioli et al., 2001; Dubourg et al., 2004, 2007). Additionally, in many cases the molecular alteration presents as a familial form, often including many generations, where its clinically relevant phenotypic spectrum is highly variable between mutation carriers. Clinical findings can extend from cyclopia, at the severe extreme, to less severe conditions that include several types of recognizable microforms such as the solitary median maxillary central incisor syndrome (SMMCI; see Nanni et al., 2001; Marini et al., 2003; Garavelli et al., 2004; reviewed in El-Jaick et al., 2007a), or even incomplete penetrance of obligate mutation carriers. Mutations have also been detected in related pathway factors such as PTCH1 (Ming et al., 2001; MIM# 601309; HPE7, MIM# 610828), the transcription factor gene GLI2 (Roessler et al., 2005; MIM# 165230; HPE9, MIM# 610829) and the putative ligand transporter DISP1 (Roessler et al., 2009; MIM# 607502). SHH is presently one of four genes, which also include SIX3 (Wallis et al., 1999; Domené et al., 2008; MIM# 603714; HPE2, MIM# 157170), ZIC2 (Brown et al., 1998; Roessler et al., 2009; MIM# 603073; HPE5, MIM# 609637) and TGIF (Gripp et al., 2000; El-Jaick et al., 2007b; MIM# 602630; HPE4, MIM# 142946), routinely screened as part of the molecular evaluation of new sporadic or familial HPE or SMMCI cases (reviewed in Muenke and Beachy, 2001; Cohen, 2006; Dubourg et al., 2007). Consequently, a large collection of mutations is presently available for a structural analysis.

The vertebrate hedgehog (hh) family of genes actively function during major developmental steps including pattern formation and growth of the brain, neural tube, myotome, skeletal structures and limb bud, as well as during tissue specification and growth of a variety of organs by acting as context-dependent morphogens and/or mitogens during early development (Cordero et al., 2004; see recent reviews by Ingham 2008; Bürglin 2009). An additional role in somatic cancer is also well documented. All known hedgehog proteins are synthesized as pre-pro-proteins that during their traffic through the endoplasmic reticulum undergo the removal of a signal peptide, followed by autocatalytic cleavage into a 19Kd secreted molecule (e.g. SHH-N, with all known biological activity) and a 25 Kd intein-like residual component [e.g. SHH-C, with the intrinsic ability to cleave the precursor into two fragments (due to the activity of the intein-like Hint motif) and also to add cholesterol to the C-terminus of its partner fragment (facilitated by the sterol-recognition region, SRR); for a review, see Muenke and Beachy 2001; Porter et al., 1995, 1996]. The biological activity of hh-like ligands, such as the human SHH-N, is further enhanced by the addition of palmitate to its N-terminus by the substrate-specific enzyme Hedgehog acyltransferase (Pepinsky et al., 1998; HHAT; MIM# 605743). This bi-lipidated ligand is actively secreted from the cell with the participation of additional co-factors, such as DISP1, that themselves can be targets of mutation in HPE cases (Ma et al., 2002; Roessler et al., 2009). The gradient of these signaling factors that will develop in a target field is influenced by many additional factors including heparin-sulfate proteoglycans, the assembly of multimeric complexes of ligands (Goetz et al., 2006; Singh et al., 2008), as well as both positive (GAS1 and CDO/BOC) and negative modulators (enhanced expression of PTCH1 and HIP) of the cell surface binding and response of target cells (see reviews by Krauss 2007 and Ingham 2008).

Over the past decade, molecular defects have been identified in all three paralogous genes of the prototypical Drosophila melanogaster hedgehog gene (hh) typically present in higher animals, such as humans: INDIAN HEDGEHOG (IHH with autosomal dominant Brachydactyly A-1, BDA1; MIM# 112500 and the autosomal recessive disorder acrocapitalfemoral dysplasia, ACFD; MIM# 607778; Gao et al., 2001; McCready et al., 2002; Liu et al., 2006; Lodder et al., 2008; reviewed in Byrnes et al., 2009), DESERT HEDGEHOG (DHH with gonadal dysgenesis; MIM# 605423; Umehara et al., 2000; Canto et al., 2004, 2005) and SONIC HEDGEHOG (with HPE and related disorders, see above). Fortunately, the past decade has also coincided with an extensive and detailed analysis of the biological effects and functional domains of the proto-typical hedgehog gene that can provide a foundation for predicting the effects of disease-related mutations (Hall et al., 1995, 1997; McLellan et al., 2008; Goetz et al., 2006; Singh et al., 2009; reviewed in Bürglin 2008). Based on these considerations it’s now possible to show that essentially all key steps in the generation of a secreted hedgehog molecule are targets for mutation in a collective retrospective analysis of cases.

MATERIALS AND METHODS

Study population

At the NIH, we analyzed approximately 600 HPE patients (collectively comprising the entire spectrum of HPE brain malformations and prospectively collected over 17 years) for potential sequence variations in the SHH gene under our NHGRI approved brain research protocol and newly established CLIA laboratory. In addition, we also studied 125 unrelated individual normal controls obtained as anonymous samples from the Coriell Institute for Medical Research that matched the predominant Northern European ethnicity of our HPE cases. In the cases extracted from literature reports the nature of the mutation was known to us only through these published sources (cited in Table 1). Similarly, in Rennes, 500 HPE patients were analyzed, prospectively collected over 12 years at the Laboratoire de Génétique Moléculaire (Rennes, France); we also include anonymous instances of mutations in the SHH gene shared with us from prospective studies performed under CLIA standards by GeneDx (Gaithersburg, MD), or from investigators in Maastricht, the Netherlands, as well as from Regensburg, Germany.

Table 1.

SHH mutations identified in this study. Novel variants are in bold type.

Subject cDNA protein function Reference
1 c.9_12dup p.Arg6GlyfsX59 frameshift Nanni 1999
2 c.17G>C p.Arg6Thr Signal peptide Dubourg 2004
3 c.38_45del p.Val13AlafsX48 frameshift Nanni 1999;
GeneDx
confirmed
4 c.50T>C p.Leu17Pro Signal peptide Kato 2000
5 c.72C>A p.Cys24X Palmitoylation
site
Dubourg 2004;
NIH new
6 c.77C>T p.Pro26Leu Palmitoylation
site and
multimerization
GeneDx new;
see Goetz 2006
7 c.80G>C p.Gly27Ala Palmitoylation
site and
multimerization
Hehr 2004
8 c.87delG p.Gly29fsX11 frameshift Rennes new
9 c.91G>A p.Gly31Arg SHH-N Roessler 1996
10 c.116T>C p.Leu39Pro SHH-N GeneDX new
11 c.108_109delinsG p.Lys38SerfsX2 frameshift NIH new
12 c.119_120delCC p.Pro41PhefsX22 frameshift Rennes new
13 c.136C>T p.Gln46X truncation NIH new
14 c.148_166del p.Asn50X truncation Maastrict new
15 c.157G>A p.Glu53Lys SHH-N Rennes new
16 c.210dupC p.Glu71ArgfsX4 frameshift GeneDx new
p.Gly290Asp SHH-C See 89
17 c.211delG p.Glu71SerfsX27 frameshift Dubourg 2004
18 c.248A>T p.Asp83Val SHH-N Rennes new
19 c.250A>T p.Ile84Phe SHH-N NIH new
20 c.263A>T p.Asp88Val SHH-N Nanni 1999:
Heussler 2002;
Regensburg
new
21 c.298delC p.Gln100ArgfsX7 frameshift GeneDx new
22 c.298C>T p.Gln100X truncation Roessler 1996;
Rennes new
23 c.300G>C p.Gln100His SHH-N Dubourg 2004;
Bertolacini 2009
24 c.304T>C p.Cys102Arg SHH-N Maastricht
new
25 c.305G>A p.Cys102Tyr SHH-N Rennes new
26 c.316_321del p.Leu106_Asn107del deletion Dubourg 2004
27 c.313A>T p.Lys105X truncation Roessler 1996
28 c.327G>T p.Leu109Phe SHH-N GeneDx new
29 c.328G>A p.Ala110Thr SHH-N GeneDx new
30 c.329C>A p.Ala110Asp SHH-N Dubourg 2004
31 c.331A>T p.Ile111Phe SHH-N Nanni 2001
32 c.332T>A p.Ileu111Asn SHH-N El-Jaick 2005
33 c.345C> A p.Asn115Lys SHH-N Nanni 1999
34 c.349T>G p.Trp117Gly SHH-N Roessler 1996
35 c.349T>C p.Trp117Arg SHH-N Roessler 1996
36 c.355G>T p.Gly119X truncation NIH new
37 c.370G>A p.Val124Met SHH-N GeneDx new
38 c.383G>A p.Trp128X truncation Marini 2003
39 c.388G>T p.Glu130X truncation Dubourg 2004;
NIH new
40 c.406G>A p.Glu136Lys SHH-N Bertolacini 2009
41 c.415_416del p.Leu139AlafsX13 frameshift NIH new
42 c.419A>C p.His140Pro SHH-N Orioli 2001
43 c.420C>G p.His140Gln SHH-N Ribiero 2005
44 c.428G>A p.Gly143Asp SHH-N NIH new
45 c.431G>C p.Arg144Pro SHH-N GeneDx new
46 c.439G>A p.Asp147Asn SHH-N GeneDx new
47 c.449C>G p.Thr150Arg SHH-N Dubourg 2004;
NIH new
48 c.449C>A p.Thr150Lys SHH-N Rennes new
49 c.468C>A p.Ser156Arg SHH-N NIH new
50 c.474C>G p.Tyr158X truncation Dubourg 2004
51 c.509T>G p.Phe170Cys SHH-N NIH new
52 c.511G>C p.Asp171His SHH-N Rennes new
53 c.525C>G p.Tyr175X SHH-N Regensburg
new
54 c.526_534del p.Glu176_Lys178del deletion Dubourg 2004
55 c.547T>C p.Cys183Arg SHH-N NIH new
56 c.548G>T p.Cys183Phe SHH-N Orioli 2001
57 c.548G>A p.Cys183Tyr SHH-N Regensburg
new
58 c.551C>T p.Ser184Leu SHH-N NIH new
59 c.562G>C p.Glu188Gln SHH-N Dubourg 2004
60 c.562+1G>A Splice donor frameshift NIH new
61 c.584_598del p.196_200del Cholesterol
addition site
NIH new;
GeneDx
confirmed
62 c.587delG p.Gly196GlufsX20 Cholesterol
addition site
Rennes new
63 c.587G>A p.Gly196Glu Cholesterol
addition site
Rennes new
64 c.590G>T p.Gly197Val Cholesterol
addition site
NIH new
65 c.592T>A p.Cys198Ser Cholesterol
addition site
Rennes new
66 c.593G>A p.Cys198Phe Cholesterol
addition site
Bertolacini 2009
67 c.624_625delinsTT p.Glu208AspfsX1 frameshift GeneDx new
68 c.625C>T p.Gln209X truncation Nanni 1999
69 c.653T>C p.Leu218Pro SHH-C Richieri_Costa
2006
70 c.664G>A p.Asp222Asn SHH-C Dubourg 2004
71 c.671T>A p.Val224Glu SHH-C Roessler 1997
72 c.676G>A p.Ala226Thr SHH-C Roessler 1997
73 c.692G>T p.Gly231Val SHH-C NIH new
74 c.694C>G p.Arg232Gly SHH-C GeneDx new
75 c.701T>C p.Leu234Pro SHH-C GeneDx new
76 c.707G>A p.Ser236Asn SHH-C Rennes new
77 c.708C>A p.Ser236Arg SHH-C Nanni 1999
78 c.721T>C p.Phe241Val SHH-C Rennes new
79 c.723C>G p.Phe241Leu SHH-C NIH new
80 c.764T>A p.Ile255Asn SHH-C NIH new
81 c.766G>T p.Glu256X truncation Nanni 1999;
GeneDx
confirmed
82 c.787_807del p.Arg263_Ala269del deletion Roessler 1997a
83 c.800C>T p.Thr267Ile SHH-C Hehr 2004
84 c.812T>C p.Leu271Pro SHH-C Dubourg 2004
85 c.824C>A p.Ala275Glu SHH-C GeneDx new
86 c.839C>G p.Ser280Trp SHH-C Regensburg
new
87 c.839C>A p.Ser280X truncation Richieri-Costa 2006
88 c.850G>T p.Glu284X truncation Roessler 1997a; Hehr 2004
89 c.869G>A p.Gly290Asp SHH-C Nanni 1999;
Schell-Apacik 2009; GeneDx
new;
90 c.887G>C p.Gly296Ala SHH-C GeneDx new
91 c.928C>T p.Arg310Cys SHH-C Rennes new
92 c.961C>A p.Arg321Ser SHH-C NIH new
93 c.995T>C p.Val332Ala SHH-C Dubourg 2004;
Garavelli 2004
94 c.1015G>T p.Glu339X truncation Rennes new
95 c.1037C>T p.Ala346Val SHH-C NIH new
96 c.1040C>G p.Pro347Arg SHH-C NIH new,
Rennes new
97 c.1040C>A p.Pro347Gln SHH-C Dubourg 2004
98 c.1040C>T p.Pro347Leu SHH-C Rennes new
99 c.1051C>T p.Gln351X truncation GeneDx new
100 c.1061T>C p.Ile354Thr SHH-C Dubourg 2004
101 c.1085C>T p.Ser362Leu SHH-C NIH new
102 c.1088G>A p.Cys363Tyr SHH-C Richieri-Costa 2006
103 c.1091A>G p.Tyr364Cys SHH-C Rennes new
104 c.1117G>A p.Ala373Thr SHH-C NIH new; Hehr 2004
105 c.1121A>G p.His374Arg SHH-C NIH new
106 c.1127C>A p.Ala376Asp SHH-C NIH new
107 c.1130T>C p.Phe377Ser SHH-C Regensburg
new
108 c.1132_1140del p.378_380del deletion Nanni 1999
109 c.1142G>C p.Arg381Pro SHH-C Dubourg 2004
110 c.1145T>C p.Leu382Pro SHH-C Maastricht
new
111 c.1147G>A p.Ala383Thr SHH-C Roessler 1997a; Hehr 2004
112 c.1171G>A p.Ala391Thr SHH-C Regensburg
new
113 c.1204_1227del p.402_409del deletion Schimmenti 2003
114 c.1213_1227del p.405_409del deletion Nanni 1999
115 c.1231_1233dup p.Gly411dup duplication NIH new
116 c.1246A>G p.Thr416Ala SHH-C NIH new
117 c.1270C>G p.Pro424Ala SHH-C Nanni 1999
118 c.1303T>A p.Tyr435Asn SHH-C NIH new
119 c.1307C>T p.Ser436Leu SHH-C Nanni 1999
120 c.1366G>C p.Gly456Arg SHH-C NIH new
121 c.1370delT p.Met457ArgfsX18 frameshift NIH new

Descriptions of mutations are based on the NM_000193.2 reference sequence, follow HGVS recommendations (www.hgvs.org/mutnomen) and were checked using the Mutalyzer software for the predicted effects on the reference gene (www.lovd.nl/mutalyzer/1.0.1/). Position +1 refers to the A position of the ATG initiation codon for that gene.

Mutation screening, PCR amplification and DNA sequencing

A strategy for screening the SHH gene (available on request) has been modified from previously described ones (Roessler et al., 1996, 1997a; Dubourg et al., 2004) using only four pairs of primers resulting in four amplicons instead of the previous six (1F1/1R1, 2F2/2R1, 3F1/3R1 and 3F3/3R3). Descriptions of mutations (Table 1) are based on the NM_000193.2 reference sequence. Guidelines for the naming of the sequence variants conform to the recommendations of the human nomenclature committee (www.hgvs.org/mutnomen) and were checked using the Mutalyzer software for the predicted effects on the reference gene (www.lovd.nl/mutalyzer/1.0.1/). Position +1 refers to the A position of the ATG initiation codon for that gene.

Our current approach for CLIA testing of SHH also differs slightly from previous reports and is available upon request. Amplification of human genomic DNA is performed in a 35 μl reaction volume, using 60-100 ng of DNA template, 50 μM each of deoxynucleotide triphosphate, 20 pmol of each primer, 3.5 μl of 10X PCR Amplification buffer (Invitrogen, CA), 1.75 μl 10X PCR Enhancer solution (Invitrogen, CA), 1.5mM MgSO4 (Invitrogen, CA) and 2.5U of AmpliTaq DNA polymerase (Roche, IN). All reactions were performed using a PTC-255 thermocycler (MJ Research, MA). Typical PCR cycling parameters were 95°C for 4 minutes followed by 30 cycles at 95°C for 30 seconds, annealing at 60°C for 30 seconds, extension at 72°C for 1 minute, and a final extension step of 72°C for 7 minutes. One half of the PCR product was used for denaturing high-pressure liquid chromatography (dHPLC) analysis (Trangenomics WAVE™) and the remainder was retained for direct DNA sequencing. Amplicons displaying heterozygous profiles were purified using a high pure PCR purification kit (Roche, IN) and bi-directionally sequenced using the BigDye™ version 3.1 terminator cycle sequencing kit according to the manufacturer’s protocol (Applied Biosystems, CA) on an ABI 3100 automated sequencer.

Statistical analysis

To determinate whether the distribution of observed and expected number of mutations within SHH-N or SHH-C were the same, a classic two-tailed χ2 test was used. In order to detect domains (SHH-N vs. SHH-C) for which the observed number of mutations differed from the expected values, we conducted the following hypothesis test:

H0,j:pO,j=pE,jvs.H1,j:pO,jpE,j

where pO,j and pE,j represent, respectively, the proportion of observed and expected mutations in the j domain ( j = Identical, Similar, Related, Unrelated or Biologically Equivalent). Considering that the proportion of observed or expected mutations in the Biologically Equivalent (BE) was calculated as pBE=1 - pU (U: Unrelated), testing H0,j : pO,BE = pE,BE is mathematically identical (but not biologically equivalent) to the test of H0,j : pO,U = pE,U.

We used R 2.9.0 Patched (R Development Core Team. 2009. R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. ISBN 3-900051-07-0, URL http://www.R-project.org) for the statistical analysis, the RODBC (Lapsley, M. and Ripley, B.D. 2009. RODBC: ODBC Database Access. http://cran.r-project.org/web/packages/RODBC/index.html) package to connect R and MS Excel®, and Tinn-R (Tinn-R Development Team 2004; http://www.sciviews.org/Tinn-R/ and http://sourceforge.net/projects/tinn-r) as editor for the R programs we wrote.

RESULTS

In order to derive insight into the important functions and domains of the SHH protein inferred from our mutational analysis, we have compiled into Table 1 all 121 of the known SHH variants detected exclusively among HPE cases and not in controls. When these alterations are aligned with other mutant Hedgehog proteins and annotated with the detailed structural and functional studies of the murine Shh protein, several important findings emerge from this compilation (broken down for convenience by mutation type in Figure 1A-C). Most of these types of variation have either been directly shown to reduce biological activity (Schell-Apacik et al., 2003; Traiffort et al., 2004; Maity et al., 2005; Goetz et al., 2006; Singh et al., 2009) or would be predicted to lose activity by analysis of the effects on key structural motifs of virtually translated protein products. However, the precise effects of individual mutations can rarely be predicted with certainty without detailed and often laborious functional analysis.

Figure 1.

Figure 1

Compilation of all of the mutations affecting the two principal SHH domains sorted by their position and category. A: deletions or insertions that retain frame occur most commonly in critical regions (red colored bars) but also non-conserved regions of unknown importance (black colored bars; see also Fig. 2); selected missense alterations (thin arrows) that occur in the signal peptide, palmitate addition region, cholesterol addition site are presented here to imply their likely effect on processing. B: nonsense and frameshift mutations truncate SHH-N or affect domains required for protein intein-like splicing or cholesterol addition. C: missense alterations (thin arrows) occur equally in both domains; however, the distribution of mutations is non-random and preferentially occurs within conserved domains (see Table 2).

Evidence for mutations likely causing processing defects of the SHH protein

Since any observed mutation in SHH-C would not contribute directly to the structure of the SHH-N ligand itself, and yet full biological activity is dependent on the success of many successive processing steps, it was originally postulated that defective maturation of the protein could the basis for the pathogenicity of some of these mutations (Roessler et al., 1997a; Hall et al., 1997). We can now affirm that mutations in HPE cases are non-randomly clustered, and commonly occur in precisely those key elements that contribute to successful processing, the absence of which is known to dramatically reduce protein function.

Interestingly, in addition to the single example of elimination of the initiator methionine of DHH (Umehara et al., 2000) there are two additional examples of missense changes detected in the signal peptide (p.Arg6Thr and p.Leu17Pro) of SHH that might interfere with entry into the endoplasmic reticulum; although neither variant has been analyzed functionally in transfected cells, the p.Leu17Pro variant segregates among affected individuals in a large pedigree. Similarly, a cluster of mutations are detected in the highly conserved CGPGR motif at the amino-terminus implicated in both the addition of palmitate (e.g. p.Pro26Leu and p.Gly27Ala) and the formation a multimeric high potency forms (Goetz et al., 2006; Singh et al., 2008). Experimental mutation of these or similar residues in the rat Shh protein alters its ability to be lipid modified, secreted and/or form full active multimer forms (Goetz et al., 2006, see also Fig.2). Another cluster of missense alterations and precise deletions eliminate the cholesterol addition site (p.Gly197; detailed in Fig. 1, 2) at the end of the ligand domain: p.196_200del, p.Gly196GlufsX20, p.Gly196Glu, p.Gly197Val, p.Cys198Phe and p.Cys198Ser. Thus, the mutational spectrum observed in patients directs our attention to essential motifs independently shown to be necessary for the production of a bioactive molecule.

Figure 2. A detailed annotation of known mutations within closely related Hedgehog proteins.

Figure 2

Figure 2

A clustalW2 based (http://www.ebi.ac.uk/Tools/clustalw2/) single aminoacid code alignment of SHH, murine Shh, IHH, DHH and hh is presented. Protein changes are annotated by color and font. For example, HPE or SCMMI alterations are red mutations: normal font are typical missense, red underlined positions are in-frame deleted residues in functionally important motifs, while in-frame deletions or insertions of unknown effect are depicted as black lines above the alignment (p.402_409del and p.405_409del) or as a triangle (i.e. p.Gly411dup). For the mouse Shh alignment we use orange residues with normal font as synthetically engineered point mutations (see Hall et al., 1997; Goetz et al., 2006; Singh et al. 2008), and surface residues implicated in Shh-N-CDOFn3 (ligand-receptor) binding (McLellan et al. 2008) are underlined with a saw-tooth font. In contrast, residues implicated in binding to the fly paralog, Ihog, are orange and underlined. These authors also identified residues that co-ordinate with calcium and promote receptor binding that we present as orange and italic. In addition, IHH (Brachydactyly A-1 or acrofemoralcapital dysplasia; turquoise mutations), DHH (gonadal dysgenesis; green mutations) are presented and compared directly to the Drosophila hh reference sequence. Each paralog encodes a signal peptide shown as underlined normal font (the signal peptide of hh is not shown) and a Sterol Recognition Region (SSR) that is both underlined and italicized. Note that key motifs necessary for hh auto-processing [e.g. the Shh Hint motif (p.258_408) consists of functionally conserved core aminoacids that are show in purple and underlined; a subset of these have been shown to be functionally essential and are double underlined: D303, T326 and H329 (Hall et al. 1997).

The mutations observed in both the Hint module and SRR motifs are biologically plausible as loss-of-function alterations based on site-directed mutagenesis studies (Fig. 2, see also Hall et al., 1997) and are consistent with our general observation that they occur preferentially within conserved residues important for this structure (see chi squared analysis, Table 2). For example, the positions p.Asp222, p.Val224, p.Phe241, p.263_269del, p.Thr267, p.Leu271 and p.Ile354 correspond to positions that are highly conserved residues among intein-like elements across many phyla and it is statistically significant that they are also sites of mutation in HPE subjects (see also Traiffort et al., 2004 for examples of confirmed deleterious mutations in SHH-C; see Canto et al., 2004 for a similar mutation in DHH). This pattern of mutation within largely conserved residues applies to the majority of the mutations observed in the Hint motif (p.Leu218Pro, p.Ser236Asn, p.Ile255Asn, p.Val332Ala, p.Ala346Val, p.Pro347Gln, p.Pro347Arg, p.Pro347Leu, p.Ser362Leu, p.Cys363Tyr, p.Tyr364Cys). In fact, a similarly strong mutational signature is also observed in the SRR region that functions to bind cholesterol and uses it as a nucleophile in the autoprocessing reaction: p.Ala373Thr, p.His374Arg, p.Ala376Asp, p.Phe377Ser, p.378_380del, p.Arg381Pro, p.Leu382Pro and p.Ala383Thr. Note that the last position in this cluster is also the site of a nonsense mutation in DHH.

Table 2.

Chi squared analysis of mutations in different SHH domains.

Domain Observed Expected Statistics, p-value

Frequency (%) Frequency (%)
N terminal χ(4)2=214.7, p<0.00001
Identical (*) 28 (70) 100 (50.8) χ12=4.2, p<0.05
Similar (:) 4 (10) 34 (17.3) χ12=0.8, p>0.05
Related (.) 1 (2.5) 13 (6.6) χ12=0.4, p >0.05
Unrelated 7 (17.5) 50 (25.4) χ12=0.7, p >0.05
Biologically Equivalent1 34 (82.5) 147 (74.6) χ12=0.7, p >0.05
Total 40 (100) 197 (100)
C terminal χ(4)2=230.9, p<0.00001
Identical (*) 20 (45.5) 49 (18.5) χ12=14.3, p <0.001
Similar (:) 9 (20.5) 29 (10.9) χ12=2.3, p >0.05
Related (.) 4 (9.1) 18 (6.8) χ12=0.1, p >0.05
Unrelated 11 (25) 169 (63.8) χ12=21.8, p<0.00001
Biologically Equivalent1 33 (75) 96 (36.2) χ12=21.8, p<0.00001
Total 44 (100) 265 (100)
1

Includes Identical, Similar, and Related domains as defined by clustalW2 criteria.

Typical frameshift and truncation mutations

Nearly a quarter of all of the mutations detected (29/121) are frameshifts or truncations incompatible with a complete protein. All but one (pMet457ArgfsX18) would be expected to eliminate the intein-like Hint motif necessary for autocatalytic processing and would be considered as likely biological null alleles.

Missense alterations of both SHH-N and SHH-C occur in functionally defined domains

The distribution of HPE-associated mutations in the mature SHH-N domain continues to follow the pattern of conservation established for SHH-C (Table 2) although, counter-intuitively, the level of significance is less because of the overall high degree of conserved motifs; in addition, those mutations tend to be observed within centrally-located conserved residues thought to be important in ligand-receptor interactions or similar structurally relevant modules. For example, p.Glu176_Lys178del removes residues shown to be essential for the binding between Shh and the Fibronectin3 motif of the CDO receptor (McClellan et al., 2008). In general, mutations in IHH and DHH also occur in centrally located conserved residues (see Fig. 2; Byrnes et al., 2009); furthermore, it is unlikely to be a co-incidence that mutation of SHH-N residues p.Thr150 is also a site for mutation in IHH.

Unclassified mutations

Some variants do not fall into any clear category, other than that they are not generally conserved from flies to higher vertebrates: such as p.Gly290Asp, p.Gly296Ala, p.Ala391Thr, p.402_409del, p.405_409del, p.Gly411dup, p.Thr416Ala, p.Pro424Ala and p.Gly456Arg (Nanni et al., 1999; Schimmenti et al., 2001). It is probable that there will be instances of highly conserved residues being non-significant when functional tests are eventually performed (see Maity et al., 2005), as well as instances where seemingly un-obvious mutations have profound effects. For example, our alignment analysis fails to take into account human-specific features evolved in the primate lineage (Dorus et al., 2006). These authors note that SHH-C has undergone accelerated evolution within primates and the non-random acquisition of multiple serines and threonines that may serve as sites of post-translational modification. For example, the p.Gly290Asp mutation might affect the phosporylation state of p.Ser291 or the deletions p.402_409del or p.405_409del the postulated phosphorylation of p.Ser401. Additional studies would be needed to test this hypothesis. Hence, the best way for a clinician to establish the likelihood of a mutation in these genes being clinically relevant would be to carefully examine the family history and mutation status of additional family members.

DISCUSSION

Holoprosencephaly is the most common structural malformation of the developing forebrain in humans and its causation includes genetic and environmental components typical for a complex trait that must integrate both types of factors (Muenke and Beachy, 2001; Roessler et al., 2001, 2003, 2008; Cohen, 2006; Dubourg et al., 2007; Krauss 2007; Monuki 2007). Its genetic heterogeneity is supported by the fact that nearly 75% of cases are wild-type in their DNA sequence of the coding regions of the nine currently known HPE genes in patients with normal chromosomes. Its characteristic variable expressivity adds additional support for a model of combinatorial interactions among multiple factors (Ming and Muenke, 2002). Although much more needs to be elucidated regarding the potential roles of additional genes, we are beginning to see the emergence of a network of factors in the mouse that converge on the expression of Sonic hedgehog as a common final pathway in HPE etiology (Jeong et al., 2008; Geng et al., 2008; Warr et al., 2008).

ACKNOWLEDGMENTS

The authors wish to thank the patients who participated in this research and the many clinicians who referred them. This research was supported by the Division of Intramural Research of the National Human Genome Research Institute, National Institutes of Health, and by the GIS Institut des Maladies Rares, COREC (CHU, Faculté de Médecine, Rennes, France).

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