Open Access

Genetic analysis of the GRIK2modifier effect in Huntington's disease

  • Wenqi Zeng1,
  • Tammy Gillis1,
  • Michael Hakky1,
  • Luc Djoussé2,
  • Richard H Myers2, 3,
  • Marcy E MacDonald1, 4 and
  • James F Gusella1, 4Email author
BMC Neuroscience20067:62

DOI: 10.1186/1471-2202-7-62

Received: 17 July 2006

Accepted: 07 September 2006

Published: 07 September 2006

Abstract

Background

In Huntington's disease (HD), age at neurological onset is inversely correlated with the length of the CAG trinucleotide repeat mutation, but can be modified by genetic factors beyond the HD gene. Association of a relatively infrequent 16 TAA allele of a trinucleotide repeat polymorphism in the GRIK2 3'UTR with earlier than expected age at neurological onset has been suggested to reflect linkage disequilibrium with a functional polymorphism in GRIK2 or an adjacent gene.

Results

We have tested this hypothesis by sequencing all GRIK2 exons, the exon-flanking sequences and 3'UTR in several individuals who were crucial to demonstrating the modifier effect, as they showed much earlier age at neurological onset than would be expected from the length of their HD CAG mutation. Though ten known SNPs were detected, no sequence variants were found in coding or adjacent sequence that could explain the modifier effect by linkage disequilibrium with the 16 TAA allele. Haplotype analysis using microsatellites, known SNPs and new variants discovered in the 3'UTR argues against a common ancestral origin for the 16 TAA repeat alleles in these individuals.

Conclusion

These data suggest that the modifier effect is actually due to the TAA repeat itself, possibly via a functional consequence on the GRIK2 mRNA.

Background

Huntington disease (HD [MIM 143100]) is a neurodegenerative disorder caused by an expanded CAG trinucleotide repeat that lengthens a polyglutamine tract near the amino terminus of the huntingtin protein [1]. The mutation involves a "gain-of-function" that leads to the selective loss of vulnerable neurons, most notably medium spiny neurons in the caudate nucleus, and results in characteristic progressive writhing movements, in addition to psychological changes and cognitive decline [2]. The age at onset of HD is variable, though the motor disturbance typically begins in mid-life, and is followed by an inexorable decline that ends in death after a course of 10–20 years. The length of the expanded CAG trinucleotide tract is the primary determinant of disease onset, although the mechanism whereby mutant huntingtin triggers the cascade of HD pathogenesis that eventually produces these symptoms is not yet clear [3, 4]. Like several other polyglutamine neurodegenerative disorders, there is a strong inverse correlation between the length of the polyglutamine tract and the age at neurologic onset, with the longest mutations leading to juvenile HD. Indeed, the HD CAG repeat length alone accounts for more than half of the overall variance in age at neurologic onset. We and others have showed that the remaining variation in age at neurologic onset of HD is highly heritable and that other genetic factors act to modify the pathogenic process [516]. Identification and characterization of such modifiers is of critical importance, since their capacity to alter pathogenesis would make them potential targets for development of therapeutics for this currently untreatable disorder.

To date, one candidate genetic modifier of HD has been confirmed in multiple independent studies. An association between genetic variation at GRIK2 (GenBank: mRNA NM_021956), encoding the GluR6 subunit of the kainate receptor, and age at neurologic onset in HD was first reported by Rubinsztein et al., based on 293 HD patients from the United Kingdom [13]. A TAA repeat polymorphism (D6S1028; CHLC.ATA22H10) in the 3' untranslated region (UTR) of GRIK2 accounted for 13% of the residual variance in onset age after accounting for the effect of the HD CAG mutation. The 16 repeat allele (designated '155' based on the PCR product length) was found in those with younger than expected HD onset ages, leading to the suggestion that the TAA repeat was a neutral polymorphism in linkage disequilibrium with a functional variant in GRIK2, or in a nearby gene. The GRIK2 association was confirmed in 258 unrelated U.S. HD patients, where the relatively rare 16 TAA allele was associated with an approximate 5-year-younger age at onset [11]. Subsequently, a modifier role for this locus has been demonstrated in HD populations from France, India, and Italy [6, 7, 12]. To address the issue of a functional variant at or near the GRIK2 locus, we have tested whether a coding sequence variant explains the modifier effect, and subsequently, we have used analysis of polymorphisms in the GRIK2 region to implicate the TAA repeat itself as the source of the genetic modification of onset age.

Results

Testing for a functional coding sequence variant in GRIK2

The GRIK2 TAA repeat displays at least 8 alleles, ranging from 10 to 17 TAA units, though more than 90% of chromosomes have 13, 14 or 15 repeats. The largest alleles, 16 and 17 TAAs, make up only 3.1% and 0.3% of chromosomes in our sample (n = 622), respectively. Our original confirmation of the GRIK2 modifier effect employed 258 unrelated affected individuals of known onset available to the Massachusetts HD Center Without Walls and did not account for subsequently defined effects of the normal HD CAG allele and interaction between the mutant and wild-type CAGs [11]. We have now expanded this test population to 311 individuals, genotyped for both the HD CAG repeat and the GRIK2 TAA repeat. The variability in onset age attributable to the HD CAG repeat, wild-type HD CAG and interaction of the two [ln (age at onset) = HD CAG repeat + normal CAG repeat + (HD CAG repeat)*(normal CAG repeat)] is R2 = 0.743. When the presence of a 16 TAA repeat allele is added to the model, a statistically significant amount of the variability in onset age is explained: R2 = 0.748, (16 allele genotypes, p = 0.02). Those genotypes that include a 16 allele have a mean age at onset approximately 4.5 years younger than persons with only other GRIK2 alleles.

On the basis of these data, we selected three individuals who possessed a 16 TAA allele and displayed much earlier onset of HD than expected based upon their respective CAG repeats. GUS17507, GUS3225 and GUS17508, had CAG repeats of 45, 46 and 47 units, respectively, which would typically be associated with onset between 50 and 58 years of age (Table 1). However, they displayed onset of neurologic symptoms at 33, 28 and 29 years, respectively. These three individuals contributed strongly to the detection of the modifier effect above, since leaving them out of the analysis dramatically altered the p value for the effect (p = 0.13). We also selected one individual, GUS17843 with a rare 17 TAA allele, a HD CAG repeat of 46 and an age at onset of 33. For comparison, we also chose four individuals with equivalent CAG repeats but a more typical age at neurologic onset. None of these four, GUS21069, GUS2433, GUS20708 and GUS18027, who had CAG repeats of 45, 46, 46, and 47 units and exhibited neurologic onset at 58, 57, 50 and 54 years, respectively, possessed either a 16 or 17 GRIK2 TAA allele (Table 1). To identify a functional polymorphism associated with the early onset phenotype, we sequenced the exons and exon boundaries for GRIK2 in all of these individuals.
Table 1

Selected HD patients with similar CAG repeat size but different onset ages

Patient

HDCAG Repeat

Age of onset (yrs)

GRIK2TAA repeat

 

HD allele/normal allele

 

allele 1/allele2

Early onset

   

GUS3225

46/18

28

14/16

GUS17507

45/26

33

15/16

GUS17508

47/16

29

13/16

GUS17843

46/23

33

14/17

Typical onset

   

GUS2433

46/19

57

14/14

GUS18027

47/21

54

14/15

GUS20708

46/17

50

12/15

GUS21069

45/17

58

15/15

GRIK2 comprises 17 exons spanning ~670 kb in 6q16.3, with alternative splicing capable of producing alternative carboxyl termini for the protein (Figure 1). Sequencing of all exons revealed no coding sequence or boundary changes specific to patients with earlier than expected HD onset. In the eight HD individuals, we identified polymorphisms in the flanking sequences of exons 6 (2 SNPs), 7, 12, and 13, and in the coding sequences of exons 14 and 15, corresponding to known SNPs rs2852565, rs2786251, rs6922753, rs2518283, rs2243355, rs3213607, and rs2227283, respectively (Table 2). Neither of the coding sequence variants is predicted to alter an amino acid. The only other GRIK2 coding sequence SNPs reported in dbSNP are rs3213608 and rs2235076, which are predicted to cause V>I and M>I changes in exons 14 and 17, respectively [17] We did not detect either of these in any of the 8 individuals tested.
Figure 1

Genomic structure of GRIK2 and locations of microsatellites and SNPs. The relative positions of nine microsatellites chosen using the Human Genome Database and the UCSC Genome Browser are shown above a bar, oriented from centromere (cen) to telomere (tel), representing the chromosome 6q16.3 region containing GRIK2 [18, 33]. The GRIK2 gene, comprising 17 exons (numbered) is expanded below the bar, and the region from exon 11 through the 3'UTR is further expanded below. The annotation of the 3'UTR region of GRIK2 in human genome databases is incomplete, indicating only a shorter transcript associated with use of a polyadenylation signal upstream from the TAA repeat. Data from [29] indicate that two polyadenyation signals may be used, producing either a shorter mRNA, without the TAA repeat, or a longer mRNA that contains it. Coding sequences are shown in dark blue and UTRs are shown in light blue, with introns shown as a thin black bar. The locations of relevant microsatellites and SNPs are denoted by downward and upward-pointing triangles, respectively. SNPs located in the GRIK2 gene are denoted by letter: a: rs2852565, b: rs2786251, c: rs6922753, d: rs2518283, e: rs2243355, f: rs3213607, g: rs2227283, h: rs2852620, i: rs1034254, j: rs12198351, k: rs28383483, l: rs28383484. The last polymorphism is located at the edge of the region of extended homology with rodent mRNAs (see Figure 2) and may lie either at the extreme end of the human 3'UTR or immediately outside of it.

Figure 2

Evolutionary conservation of the GRIK2 3'UTR region. Plots comparing chimpanzee, dog, rat, mouse, chicken and frog orthologue sequences to the conserved 3'UTR region of human GRIK2 were generated using mVISTA [34-36]. For the human sequence, we chose chr6: 102623080–102624690, comprising 1610 bp sequence downstream from the stop codon, based upon the report of a polyadenylation signal at 1547 bp after the stop codon [29]. The relative location of the polymorphic TAA repeat within the human sequence is shown between vertical lines (from 787 to 828bp). Plots show % identity over a 100 bp window (vertical axis) of chimpanzee (chr5 (Nov 2003): 104613747-104615339), dog (chr12 (July 2004): 62913564-62915139), rat (chr20 (June 2003): 53258651-53260220), mouse (chr10 (May 2004): 49099305-49100874), chicken (chr3 (Feb 2004): 68531473-68532948), and frog (Xenopus tropicalis) (Scaffold-599 (Oct 2004): 27668-29079), respectively, relative to the human sequence (horizontal axis) [18].

Table 2

Genotypes in the GRIK2 region in selected HD patients

  

Earlier

Age of

Onset

 

Normal

Age of

Onset

 

GUS3225

GUS17507

GUS17508

GUS17843

GUS2433

GUS18027

GUS20708

GUS21069

SNPs

        

rs2786251 (Intron 5)

G/G

G/G

G/G

G/G

G/G

G/G

A/A

G/G

rs6922753 (Intron 5)

C/C

C/C

C/C

C/C

C/C

C/C

G/G

C/C

rs6922753 (Intron 7)

T/T

T/C

T/T

T/T

T/C

T/T

T/C

T/T

rs2518283 (Intron 11)

T/T

T/T

T/T

T/T

T/T

T/T

T/C

T/T

rs2243355 (Intron 12)

G/A

G/G

G/G

A/A

G/A

G/A

G/G

G/G

rs3213607 (Exon 14)

A/A

C/C

C/A

C/C

C/C

C/A

C/C

C/A

rs2227283 (Exon 15)

G/A

A/A

G/A

G/G

G/A

G/G

G/G

G/A

rs2852620 (Intron 16)

A/T

A/A

A/T

T/T

A/T

T/T

T/T

A/T

rs1034254 (Intron 16)

T/C

T/T

T/C

C/C

T/C

C/C

C/C

T/C

rs12198351 (Intron 16)

C/C

G/G

C/C

C/C

G/C

C/C

C/C

C/C

rs28383483 (3'UTR)

T/T

T/T

T/C

T/T

T/T

T/T

T/T

T/T

rs28383484 (3'UTR)

T/C

T/T

T/T

T/T

T/T

T/T

T/T

C/C

Microsatellites

        

D6S468

152/154

154/156

152/156

150/158

156/160

156/158

154/156

152/158

D6S1555

290/294

296/296

294/294

290/292

294/296

290/296

294/296

290/296

D6S449

197/197

197/197

197/197

195/197

197/197

197/197

191/191

No data

D6S1709

153/160

149/149

149/160

153/153

149/153

153/153

153/168

149/160

GATA164H01

216/220

224/224

216/232

212/232

224/224

220/224

220/232

220/224

D6S1028 (TAA)

14/16

15/16

13/16

14/17

14/14

14/15

12/15

15/15

D6S1580

149/149

149/168

149/160

149/157

160/162

149/168

149/153

149/162

D6S1679

253/253

249/253

243/244

244/253

242/244

242/242

243/247

244/244

D6S301

228/228

228/228

246/248

228/248

242/248

244/244

236/246

248/248

Testing for a common origin of the alleles associated with younger onset

In the absence of a coding sequence variant, we next tested whether the 16 TAA allele might be in linkage disequilibrium with a functional variant in noncoding sequence or in an adjacent gene. This would predict that the particular chromosomes associated with the early onset phenotype would share a common ancestral origin. Consequently, we typed 8 microsatellite markers across the GRIK2 locus. These locations are shown in Figure 1, with the genotypes for the individuals tested in Table 2. Markers upstream from GRIK2 and in introns 3, 11 and 13 gave no evidence for a common haplotype shared among the individuals with a 16 TAA allele. Indeed, for the markers in introns 11 and 13, nearest the 3'UTR, at best two of the 3 individuals (GUS3223 and GUS17508) could have shared a two marker haplotype, '160' at D6S1709 (AFMA070ZD9) and '216' at GATA164H01. However, genotyping of the mother and a sibling of GUS3225 revealed that the 16 TAA allele was in coupling with the alternate GATA164H01 allele, 220 (data not shown). These data suggest that if the chromosomes bearing a 16 TAA allele and capable of modifying onset age share a common origin, the shared ancestral region would be 3' to the markers in intron 13. Combining these data with the SNP genotypes described above suggests further that a segment shared by the 16 allele chromosomes would be 3' to the missense SNP in exon 14, as GUS3225 and GUS17507 differ at this site on the 16 TAA allele chromosome.

The 2 Mb genomic region downstream from GRIK2 shows no known genes in the March 2006 (hg18) assembly of the human genome sequence [18]. We tested the nearest polymorphic microsatellites, ~1 Mb from the GRIK2 3'UTR. The presence of a 149 allele for D6S1580 (AFM183YH4) in GUS3225, GUS17507, and GUS17508 left open the possibility of a common origin for this ~1 Mb segment. To narrow this possibility to GRIK2 itself, we next sequenced the GRIK2 3'UTR region and the 3' portion of intron 16 in the same eight individuals, seeking additional polymorphisms that would help to delineate a potential common ancestral origin for the 3' end of the gene. Upstream from exon 17, we detected three known SNPs: rs2852620, rs1034254, and rs12198351. Though Paschen et al. provided evidence that the TAA repeat is present in the 3'UTR, the full extent of the latter has not been well characterized and is not completely represented in current genome database annotations [19]. Consequently, we examined a segment of ~2 kb downstream from the TAA termination codon of GRIK2. We chose this segment based on sequence similarity with GRIK2 orthologues from Xenopus, chicken, mouse, rat, dog and chimp (Figure 2) and its presence in mouse and rat Grik2 mRNAs. We found two novel SNPs, T>C at 248 bp and T>C at 617 bp 3' to the TAA repeat, which have been designated rs28383483 and rs28383484, respectively (Figure 1).

To simplify haplotype determination across the GRIK2 gene, we segregated the individual chromosome 6s from GUS3225 and GUS17508 in hybrid cell lines. As no lymphoblast cell line was available for GUS17507, we also relied on genotyping two siblings of this individual in an attempt to limit possible haplotypes. We typed these hybrid lines and GUS17507 relatives for the TAA repeat and the two new 3'UTR polymorphisms, and we retyped selected polymorphisms reported above to directly confirm local haplotypes.

The haplotypes associated with the three 16 TAA alleles and one 17 TAA repeat allele from the individuals with earlier than expected onset of HD are shown in Figure 3. Phasing of the alleles for the previously analyzed polymorphisms revealed that, on the chromosome associated with younger HD onset, all individuals differ for the haplotype of SNPs at exons 14 and 15. This suggests that any potentially shared region responsible for the modifier effect would lie 3' to exon 15. Further, GUS3225 and GUS17507 differ from GUS17508 for the SNPs in intron 16, suggesting that any ancestrally shared region would lie 3' to rs12198351, 1.7 kb upstream from the TAA repeat. However, GUS3225 differs on the 16 TAA chromosome from the other individuals at SNP rs28383484, suggesting that any ancestrally shared region would lie 5' to this site, 617 bp downstream of the TAA repeat. Within the segment between SNPs rs12198351 and rs28383484, which we sequenced in its entirety, only the TAA repeat allele consistently distinguishes these chromosomes from chromosomes not associated with younger than expected onset of HD, suggesting that the length of the TAA allele itself is responsible for the modifier effect.
Figure 3

GRIK2 3' haplotypes in HD patients with earlier than expected onset. Haplotypes determined for microsatellite and SNP (labeled as in Figure 1) markers from GRIK2 exon 11 through the 3'UTR are shown for the four HD patients with earlier than expected onset, three possessing a 16 TAA allele at D6S1028 and one possessing a rare 17 TAA allele. The 16 TAA allele chromosomes are distinguishable by other polymorphisms except in the fully sequenced 2.3 kb region between rs12198351 and rs28383484 (denoted by a red bar above this region of the haplotype) suggesting that the TAA allele is responsible for the modifier effect.

Discussion

GRIK2, encoding the GluR6 subunit of the kainate receptor, is abundantly expressed in the caudate nucleus, cortex, hippocampus and cerebellum in human. Kainate receptors are one of three subtypes of ionotropic receptors for the excitatory amino acid transmitter L-glutamate. They both mediate excitatory synaptic transmission at primary afferent synapses and modulate presynaptic neurotransmitter release [20]. Interaction of excitatory amino acids with their receptors can potentially cause toxicity that upsets Ca++ homeostasis and damages energy metabolism, and such 'excitotoxicity' due to glutamate has long been postulated to be involved in HD pathogenesis [21, 22]. However, a recent analysis of systemic 3-nitropropionic acid induced striatal lesions in Grik2-/- mice showed no difference in final histopathology or motor impairment compared with similarly treated wild-type mice, suggesting that striatal GluR6 kainate receptors do not play a critical role in determining neuronal pathology [23]. In this experiment, Grik2-/- mice did display motor symptoms earlier than wild-type mice, despite the lack of difference in neuropathology, suggesting that the GluR6 kainate receptors may have played some modulatory role in synaptic transmission rather than mediating excitotoxicity.

There is abundant evidence that genetic modifiers of HD pathogenesis exist, from studies performed before the HD gene was cloned through studies performed more recently with the benefit of molecular definition of the HD mutation [516, 24, 25]. GRIK2 is currently the only genetic modifier of HD that has been specifically identified and confirmed in more than two independent studies [6, 7, 1113]. Our findings indicate that 'modifier' chromosomes did not have a functional coding sequence difference that directly alters GluR6. Rather, they shared the 16 TAA allele but had different haplotypes for SNPs within a 2.3 kb region encompassing the polymorphic repeat, suggesting that the TAA allele itself, rather than a linked polymorphism, is responsible for the modifier effect. Though the effect may be peculiar to 16 TAA alleles, we cannot exclude that it is a length-dependent effect encompassing both 16 TAA and longer alleles, as there are too few 17 TAA alleles to test for a statistically significant modifier effect. However, the very early onset of GUS17843 suggests that 17 TAA alleles may also have the potential to modify neurologic onset in HD.

It is likely that the 3' UTR TAA repeat modifier effect acts at the level of the GRIK2 mRNA, with multiple opportunities for allelic alterations in regulation beyond considerations of translational efficiency and stability. Indeed, with the exception of the immediate vicinity of the TAA repeat, the 3'UTR of GRIK2 is remarkably conserved across species, suggesting that it has an important regulatory role (Figure 2). GRIK2 displays alternative splicing of exon 16 that leads to two major splice variants encoding proteins with different carboxyl-termini. Two other minor alternative splice forms, one skipping exon 12 (predicting a truncated protein) and one in which a cryptic splice site in exon 11 joins to exon 13 (predicting a protein lacking the first two of four transmembrane domains), have been described. Moreover, three major A to I RNA editing sites that can affect ion permeability of the receptor due to resulting amino acid substitutions I>V, Y>C and Q>R, respectively are located in exons 11 (2) and 12. Fully unedited receptors at the Q/R site exhibit higher relative calcium permeability and higher channel conductance as compared to edited receptors [2628]. Interestingly, two alternative transcripts differing in the length of the 3'UTR have been reported, only one of which includes the TAA repeat [19, 29]. The shorter mRNA uses a polyadenylation signal located 92 bases after the stop codon, upstream of the TAA repeat while the longer mRNA extends beyond a putative polyadenylation signal 1547 bases downstream of the stop codon, 3' to the TAA repeat [29]. Thus, numerous opportunities exist for the TAA repeat polymorphism to potentially modify HD onset by virtue of an allelic regulatory effect on the production, polyadenylation status, alternative splicing, subcellular targeting, editing or stability of the GRIK2 mRNA. The aforementioned Grik2-/- mouse experiments also indicate that an effect on age at neurologic onset may not necessarily be mediated by excitotoxicity, but could occur due to an independent effect on motor function. The fact that GRIK2 is capable of modifying the pathogenic process in HD sufficiently to have a noticeable impact on onset age indicates that it is a potential target for development of an effective therapeutic intervention. However, it will be necessary to delineate of the precise basis for the GRIK2 modifier effect in order to effectively undertake a search for chemical compounds that delay, rather than hasten HD onset.

Conclusion

GRIK2 acts as a modifier of HD pathogenesis, not through a coding sequence polymorphism that changes the structure of the GluR6 protein, but rather through a TAA repeat polymorphism in the 3'UTR. Translating this knowledge into a treatment to delay HD pathogenesis will first require definition of the functional consequences of the TAA repeat, possibly involving altered regulation of GRIK2 mRNA.

Methods

Patient DNA and cell lines

After informed consent was obtained in accord with institutional review board (IRB) policies, blood samples were obtained from patients and family members. Standard methods were used for extraction of DNA and, in some cases, generation of lymphoblastoid cell lines.

Statistical analysis

Variability in onset age attributable to the CAG repeat number was controlled by linear regression using the logarithmic transformed age at onset as the dependent variable and GRIK2 TAA, normal CAG repeat, HD CAG repeat, and the product term between normal CAG repeat and HD CAG repeat as independent variables [3032].

GRIK2sequencing

We amplified 17 coding exons of GRIK2 (NM_021956) and 1991 base pairs downstream from the stop codon, with primers located in flanking intron and UTR sequences. Amplification was performed in a standard 30 μl PCR reaction (in 10 mM Tris, pH 8.9, 50 mM KCl, 1.5–2.5 mM MgCl2, 10 pmol of each primer and 200 μM of each dNTP, including 50–100 ng DNA and 1U Taq polymerase (Invitrogen) using an MJ Research PT-100 with the following conditions: 94°C, 4 min, 30 X (94°C, 45s; 50–60°C, 45s; 72°C, 1 min), 72°C, 10 min. PCR products were analyzed by direct sequencing by using BigDye Terminator Cycle Sequencing Kit (Applied Biosystems) on an ABI 377/XL DNA Sequencer (Perkin-Elmer).

Microsatellite genotyping

PCR used 30 ng/ul genomic DNA; 0.1–1.0 ul (4 uM Stock Markers) of each dye-labeled primer pair (Research Genetics and custom oligos from Applied Biosystems); 0.1 ul (5 units/ul) Ampli Taq Gold DNA polymerase (Applied Biosystems); 0.75 ul10x GeneAmp PCR buffer II (Applied Biosystems); 0.75 ul dNTP mix (2.5 mM, Amersham); 0.75 MgCl2 (25 mM); and dH20 to 7.5 ul, and was executed in the MJ Research DNA Engine tetrad with the following conditions: 95°C, 12 min;10X (94°C, 30s, 58°C, 30s; 72°C, 60s); 25X (89°C, 30s; 55°C, 30s; 72°C, 60s); 72°C, 40 min. Except for D6S1555, D6S1028, D6S449, D6S1580 which cycled: 95°C, 5 min; 35X (94°C, 30s; 50°C, 30s; 72°C, 45s) 72°C, 10 min. D6S301 cycled: 95°C, 5 min; 53X (94°C, 30s; 54°C, 30s; 72°C, 45s) 72°C, 10 min. PCR products were run on a 5% Gene_PAGE PLUS (Amresco) gel on an ABI 377/XL DNA Sequencer for three hours, with a size standard GeneScan-500 TAMRA) in each lane to ensure lane-to-lane and gel-to-gel size-calling consistency. Data were analyzed with ABI's GeneScan Version 3.1 and Genotyper version 2.5 software.

Abbreviations

HD: 

Huntington's disease

UTR: 

untranslated region.

Declarations

Acknowledgements

This work was supported by USPHS grants NS16367 (Huntington's Disease Center Without Walls) and the Huntington's Disease Society of America's Coalition for the Cure. WZ received a fellowship from the Harvard Center for Neurodegeneration and Repair.

Authors’ Affiliations

(1)
Molecular Neurogenetics Unit, Center for Human Genetic Research, Massachusetts General Hospital
(2)
Evans Department of Medicine, Section of Preventive Medicine and Epidemiology, Boston University School of Medicine
(3)
Department of Neurology, Boston University School of Medicine
(4)
HDSA Coalition for the Cure Mitochondria and Energy Metabolism Team

References

  1. Huntington's Disease Collaborative Research Group: A novel gene containing a trinucleotide repeat that is expanded and unstable on Huntington's disease chromosomes. Cell. 1993, 72 (6): 971-983. 10.1016/0092-8674(93)90585-E.View ArticleGoogle Scholar
  2. White JK, Auerbach W, Duyao MP, Vonsattel JP, Gusella JF, Joyner AL, MacDonald ME: Huntingtin is required for neurogenesis and is not impaired by the Huntington's disease CAG expansion. Nat Genet. 1997, 17 (4): 404-410. 10.1038/ng1297-404.View ArticlePubMedGoogle Scholar
  3. Gusella JF, MacDonald ME: Molecular genetics: unmasking polyglutamine triggers in neurodegenerative disease. Nat Rev Neurosci. 2000, 1 (2): 109-115. 10.1038/35039051.View ArticlePubMedGoogle Scholar
  4. Gusella JF, Macdonald ME: Huntington's disease: seeing the pathogenic process through a genetic lens. Trends Biochem Sci. 2006Google Scholar
  5. Arning L, Kraus PH, Valentin S, Saft C, Andrich J, Epplen JT: NR2A and NR2B receptor gene variations modify age at onset in Huntington disease. Neurogenetics. 2005, 6 (1): 25-28. 10.1007/s10048-004-0198-8.View ArticlePubMedGoogle Scholar
  6. Cannella M, Gellera C, Maglione V, Giallonardo P, Cislaghi G, Muglia M, Quattrone A, Pierelli F, Di Donato S, Squitieri F: The gender effect in juvenile Huntington disease patients of Italian origin. Am J Med Genet B Neuropsychiatr Genet. 2004, 125 (1): 92-98. 10.1002/ajmg.b.20110.View ArticleGoogle Scholar
  7. Chattopadhyay B, Ghosh S, Gangopadhyay PK, Das SK, Roy T, Sinha KK, Jha DK, Mukherjee SC, Chakraborty A, Singhal BS, Bhattacharya AK, Bhattacharyya NP: Modulation of age at onset in Huntington's disease and spinocerebellar ataxia type 2 patients originated from eastern India. Neurosci Lett. 2003, 345 (2): 93-96. 10.1016/S0304-3940(03)00436-1.View ArticlePubMedGoogle Scholar
  8. Djousse L, Knowlton B, Hayden M, Almqvist EW, Brinkman R, Ross C, Margolis R, Rosenblatt A, Durr A, Dode C, Morrison PJ, Novelletto A, Frontali M, Trent RJ, McCusker E, Gomez-Tortosa E, Mayo D, Jones R, Zanko A, Nance M, Abramson R, Suchowersky O, Paulsen J, Harrison M, Yang Q, Cupples LA, Gusella JF, MacDonald ME, Myers RH: Interaction of normal and expanded CAG repeat sizes influences age at onset of Huntington disease. Am J Med Genet A. 2003, 119 (3): 279-282. 10.1002/ajmg.a.20190.View ArticleGoogle Scholar
  9. Djousse L, Knowlton B, Hayden MR, Almqvist EW, Brinkman RR, Ross CA, Margolis RL, Rosenblatt A, Durr A, Dode C, Morrison PJ, Novelletto A, Frontali M, Trent RJ, McCusker E, Gomez-Tortosa E, Mayo Cabrero D, Jones R, Zanko A, Nance M, Abramson RK, Suchowersky O, Paulsen JS, Harrison MB, Yang Q, Cupples LA, Mysore J, Gusella JF, MacDonald ME, Myers RH: Evidence for a modifier of onset age in Huntington disease linked to the HD gene in 4p16. Neurogenetics. 2004, 5 (2): 109-114. 10.1007/s10048-004-0175-2.PubMed CentralView ArticlePubMedGoogle Scholar
  10. Li JL, Hayden MR, Almqvist EW, Brinkman RR, Durr A, Dode C, Morrison PJ, Suchowersky O, Ross CA, Margolis RL, Rosenblatt A, Gomez-Tortosa E, Cabrero DM, Novelletto A, Frontali M, Nance M, Trent RJ, McCusker E, Jones R, Paulsen JS, Harrison M, Zanko A, Abramson RK, Russ AL, Knowlton B, Djousse L, Mysore JS, Tariot S, Gusella MF, Wheeler VC, Atwood LD, Cupples LA, Saint-Hilaire M, Cha JH, Hersch SM, Koroshetz WJ, Gusella JF, MacDonald ME, Myers RH: A genome scan for modifiers of age at onset in Huntington disease: The HD MAPS study. Am J Hum Genet. 2003, 73 (3): 682-687. 10.1086/378133.PubMed CentralView ArticlePubMedGoogle Scholar
  11. MacDonald ME, Vonsattel JP, Shrinidhi J, Couropmitree NN, Cupples LA, Bird ED, Gusella JF, Myers RH: Evidence for the GluR6 gene associated with younger onset age of Huntington's disease. Neurology. 1999, 53 (6): 1330-1332.View ArticlePubMedGoogle Scholar
  12. Naze P, Vuillaume I, Destee A, Pasquier F, Sablonniere B: Mutation analysis and association studies of the ubiquitin carboxy-terminal hydrolase L1 gene in Huntington's disease. Neurosci Lett. 2002, 328 (1): 1-4. 10.1016/S0304-3940(02)00231-8.View ArticlePubMedGoogle Scholar
  13. Rubinsztein DC, Leggo J, Chiano M, Dodge A, Norbury G, Rosser E, Craufurd D: Genotypes at the GluR6 kainate receptor locus are associated with variation in the age of onset of Huntington disease. Proc Natl Acad Sci U S A. 1997, 94 (8): 3872-3876. 10.1073/pnas.94.8.3872.PubMed CentralView ArticlePubMedGoogle Scholar
  14. Wexler NS, Lorimer J, Porter J, Gomez F, Moskowitz C, Shackell E, Marder K, Penchaszadeh G, Roberts SA, Gayan J, Brocklebank D, Cherny SS, Cardon LR, Gray J, Dlouhy SR, Wiktorski S, Hodes ME, Conneally PM, Penney JB, Gusella J, Cha JH, Irizarry M, Rosas D, Hersch S, Hollingsworth Z, MacDonald M, Young AB, Andresen JM, Housman DE, De Young MM, Bonilla E, Stillings T, Negrette A, Snodgrass SR, Martinez-Jaurrieta MD, Ramos-Arroyo MA, Bickham J, Ramos JS, Marshall F, Shoulson I, Rey GJ, Feigin A, Arnheim N, Acevedo-Cruz A, Acosta L, Alvir J, Fischbeck K, Thompson LM, Young A, Dure L, O'Brien CJ, Paulsen J, Brickman A, Krch D, Peery S, Hogarth P, Higgins DSJ, Landwehrmeyer B: Venezuelan kindreds reveal that genetic and environmental factors modulate Huntington's disease age of onset. Proc Natl Acad Sci U S A. 2004, 101 (10): 3498-3503. 10.1073/pnas.0308679101.PubMed CentralView ArticlePubMedGoogle Scholar
  15. Metzger S, Bauer P, Tomiuk J, Laccone F, Didonato S, Gellera C, Soliveri P, Lange HW, Weirich-Schwaiger H, Wenning GK, Melegh B, Havasi V, Baliko L, Wieczorek S, Arning L, Zaremba J, Sulek A, Hoffman-Zacharska D, Basak AN, Ersoy N, Zidovska J, Kebrdlova V, Pandolfo M, Ribai P, Kadasi L, Kvasnicova M, Weber BH, Kreuz F, Dose M, Stuhrmann M, Riess O: The S18Y polymorphism in the UCHL1 gene is a genetic modifier in Huntington's disease. Neurogenetics. 2006, 7 (1): 27-30. 10.1007/s10048-005-0023-z.View ArticlePubMedGoogle Scholar
  16. Holbert S, Denghien I, Kiechle T, Rosenblatt A, Wellington C, Hayden MR, Margolis RL, Ross CA, Dausset J, Ferrante RJ, Neri C: The Gln-Ala repeat transcriptional activator CA150 interacts with huntingtin: neuropathologic and genetic evidence for a role in Huntington's disease pathogenesis. Proc Natl Acad Sci U S A. 2001, 98 (4): 1811-1816. 10.1073/pnas.041566798.PubMed CentralView ArticlePubMedGoogle Scholar
  17. National Center for Biotechnology Information dbSNP Home Page: . [http://www.ncbi.nlm.nih.gov/SNP/]
  18. UCSC Genome Browser: . [http://genome.ucsc.edu]
  19. Paschen W, Hedreen JC, Ross CA: RNA editing of the glutamate receptor subunits GluR2 and GluR6 in human brain tissue. J Neurochem. 1994, 63 (5): 1596-1602.View ArticlePubMedGoogle Scholar
  20. Huettner JE: Kainate receptors and synaptic transmission. Prog Neurobiol. 2003, 70 (5): 387-407. 10.1016/S0301-0082(03)00122-9.View ArticlePubMedGoogle Scholar
  21. Brustovetsky T, Purl K, Young A, Shimizu K, Dubinsky JM: Dearth of glutamate transporters contributes to striatal excitotoxicity. Exp Neurol. 2004, 189 (2): 222-230. 10.1016/j.expneurol.2004.03.021.View ArticlePubMedGoogle Scholar
  22. Coyle JT, Ferkany JW, Zaczek R: Kainic acid: insights from a neurotoxin into the pathophysiology of Huntington's disease. Neurobehav Toxicol Teratol. 1983, 5 (6): 617-624.PubMedGoogle Scholar
  23. Diguet E, Fernagut PO, Normand E, Centelles L, Mulle C, Tison F: Experimental basis for the putative role of GluR6/kainate glutamate receptor subunit in Huntington's disease natural history. Neurobiol Dis. 2004, 15 (3): 667-675. 10.1016/j.nbd.2003.12.010.View ArticlePubMedGoogle Scholar
  24. Farrer LA, Conneally PM, Yu PL: The natural history of Huntington disease: possible role of "aging genes". Am J Med Genet. 1984, 18 (1): 115-123. 10.1002/ajmg.1320180115.View ArticlePubMedGoogle Scholar
  25. Farrer LA, Cupples LA, Wiater P, Conneally PM, Gusella JF, Myers RH: The normal Huntington disease (HD) allele, or a closely linked gene, influences age at onset of HD. Am J Hum Genet. 1993, 53 (1): 125-130.PubMed CentralPubMedGoogle Scholar
  26. Burnashev N, Villarroel A, Sakmann B: Dimensions and ion selectivity of recombinant AMPA and kainate receptor channels and their dependence on Q/R site residues. J Physiol. 1996, 496 ( Pt 1): 165-173.View ArticleGoogle Scholar
  27. Egebjerg J, Heinemann SF: Ca2+ permeability of unedited and edited versions of the kainate selective glutamate receptor GluR6. Proc Natl Acad Sci U S A. 1993, 90 (2): 755-759. 10.1073/pnas.90.2.755.PubMed CentralView ArticlePubMedGoogle Scholar
  28. Howe JR: Homomeric and heteromeric ion channels formed from the kainate-type subunits GluR6 and KA2 have very small, but different, unitary conductances. J Neurophysiol. 1996, 76 (1): 510-519.PubMedGoogle Scholar
  29. Barbon A, Vallini I, Barlati S: Genomic organization of the human GRIK2 gene and evidence for multiple splicing variants. Gene. 2001, 274 (1-2): 187-197. 10.1016/S0378-1119(01)00611-4.View ArticlePubMedGoogle Scholar
  30. Brinkman RR, Mezei MM, Theilmann J, Almqvist E, Hayden MR: The likelihood of being affected with Huntington disease by a particular age, for a specific CAG size. Am J Hum Genet. 1997, 60 (5): 1202-1210.PubMed CentralPubMedGoogle Scholar
  31. Duyao MP, Auerbach AB, Ryan A, Persichetti F, Barnes GT, McNeil SM, Ge P, Vonsattel JP, Gusella JF, Joyner AL, MacDonald ME: Inactivation of the mouse Huntington's disease gene homolog Hdh. Science. 1995, 269 (5222): 407-410.View ArticlePubMedGoogle Scholar
  32. Ranen NG, Stine OC, Abbott MH, Sherr M, Codori AM, Franz ML, Chao NI, Chung AS, Pleasant N, Callahan C, et al: Anticipation and instability of IT-15 (CAG)n repeats in parent-offspring pairs with Huntington disease. Am J Hum Genet. 1995, 57 (3): 593-602.PubMed CentralPubMedGoogle Scholar
  33. Human Genome Database: . [http://www.gdb.org/]
  34. Frazer KA, Pachter L, Poliakov A, Rubin EM, Dubchak I: VISTA: computational tools for comparative genomics. Nucleic Acids Res. 2004, 32 (Web Server issue): W273-9.PubMed CentralView ArticlePubMedGoogle Scholar
  35. Mayor C, Brudno M, Schwartz JR, Poliakov A, Rubin EM, Frazer KA, Pachter LS, Dubchak I: VISTA : visualizing global DNA sequence alignments of arbitrary length. Bioinformatics. 2000, 16 (11): 1046-1047. 10.1093/bioinformatics/16.11.1046.View ArticlePubMedGoogle Scholar
  36. mVISTA: . [http://genome.lbl.gov/vista/index.shtml]

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