Abstract
Cystic fibrosis (CF) is a monogenic disease characterized by a high variability of disease severity and outcome that points to the role of environmental factors and modulating genes that shape the course of this multiorgan disease. We genotyped families of cystic fibrosis sib pairs homozygous for F508del-CFTR who represent extreme clinical phenotypes at informative microsatellite markers spanning a 38 Mb region between CFTR and 7qtel. Recombination events on both parental chromosomes were compared between siblings with concordant clinical phenotypes and siblings with discordant clinical phenotypes. Monitoring parent-of-origin-specific decay of genomic sharing delineated a 2.9-Mb segment on 7q34 in which excess of recombination on paternal chromosomes in discordant pairs was observed compared with phenotypically concordant sibs. This 2.9-Mb core candidate region was enriched in imprinting-related elements such as predicted CCCTC-binding factor consensus sites and CpG islands dense in repetitive elements. Moreover, allele frequencies at a microsatellite marker within the core candidate region differed significantly comparing mildly and severely affected cystic fibrosis sib pairs. The identification of this paternally imprinted locus on 7q34 as a modulator of cystic fibrosis disease severity shows that imprinted elements can be identified by straightforward fine mapping of break points in sib pairs with informative contrasting phenotypes.
Similar content being viewed by others
Introduction
Imprinted genes are defined by the functional nonequivalence of the maternal and paternal copy resulting in monoallelic expression in a parent-of-origin-dependent manner.1, 2, 3 Imprinting is known to be affected in numerous human disorders ranging from cancer to psychiatric diseases such as autism and schizophrenia.1, 2, 3 Imprinted elements have been identified in large chromosomal segments by parametric methods,4, 5, 6 but none of these novel imprinted elements have been mapped to a highly restricted area as accomplished for the well-characterized genes responsible for the Beckwith–Wiedemann Syndrome (11p15.5) or the Prader–Willi and Angelman Syndrome (15q11–q13).1, 2, 3
Cystic fibrosis (CF) is a generalized exocrinopathy caused by two defective copies of the cystic fibrosis transmembrane conductance regulator (CFTR) gene, whereby about 70% of CF-causing chromosomes in Caucasians carry the deletion F508del-CFTR.7 The large clinical variability among F508del-CFTR homozygous CF patients7, 8 points to a major role of environment and genetic background in shaping the disease phenotype.8 However, the majority of CF modifier studies deal with few or even one single-nucleotide polymorphism within one candidate gene,8 in contrast to systematic mapping to dissect neighboring, but equally plausible, candidate genes, which allows the identification of novel CF modulators.9
Previously, we could detect a paternally imprinted CF modulator within a 40 cM chromosomal segment 3′ to CFTR.10 In this study, we have used a highly refined customized microsatellite map to confine the paternally imprinted CF modulator to a 2.9-Mb locus on 7q34 in our study cohort, consisting of 29 clinically concordant and 19 clinically discordant F508del-CFTR homozygous sibling pairs and their parents. These sib pairs were selected by their extreme clinical phenotype and their CFTR mutation genotype from a set of 318 affected patient pairs,9, 10 accordingly representing the 15% most informative phenotypes of the European CF patient-pair population. CF nuclear families were genotyped at 11 microsatellite markers, chosen from 21 candidate marker sequences on the basis of their informativity and typability, which were selected from the genome database or developed de novo from raw genomic sequences spanning 7q31 to 7qtel.
Patients and methods
Informative F508del-CFTR homozygous patient pairs
As described in detail previously,11 we recruited CF twin and sibling pairs and their parents from 158 CF clinics from central Europe. Briefly, we selected dizygous F508del-CFTR homozygous CF siblings showing extreme clinical phenotypes as judged by a ranking algorithm that relies on two clinical parameters most sensitive for the course and prognosis of CF, that is, weight as percentage of predicted weight for height, and CF population centiles for the forced expiratory volume in 1 s, expressed as percentage of predicted values.11 We described concordant mildly affected patient pairs (CON+), concordant severely affected patient pairs (CON−), patient pairs who are concordant with an average disease severity (ND) and discordant sib pairs composed of one mildly and one severely affected sibling (DIS). Compared with the patient cohort of 37 CON+, CON− and DIS families used to map CF modulators on 12p13 and 16p12,9 we extended the cohort for the analysis of recombination break points on paternal chromosomes. For the analysis of parent-of-origin-specific decay of genomic sharing presented within this paper, all concordant phenotypes – CON+, CON− and ND – were pooled (CONC) and compared against the discordant patient pairs (DIS) of the European CF sibling population. As our analysis required the knowledge of the parental origin of the chromosomes, only families for whom we were able to recruit at least one parent or families with siblings who shared both their chromosomes along 7q could be enrolled. In total, we evaluated the genotypes of 48 families split into the following clinical phenotypes: 11 CON−, 13 CON+, 5 ND and 19 DIS.
Genotyping
All microsatellite markers were typed using PCR amplification with one biotinylated primer and high-resolution direct blotting electrophoresis with subsequent chemoluminescence detection as described elsewhere (Supplementary Table 1).9
Data evaluation
We compared the observed number of recombined and unrecombined chromosomes between concordant and discordant F508del-CFTR homozygous CF sib pairs. Statistical evaluation was performed using the program CLUMP by Sham and Curtis,12 relying on the hypothesis-free permutation analysis by Monte Carlo simulation. Results obtained with the CLUMP program were corrected for multiple testing by Bonferroni taking the seven independent genomic fragments observed on discordant paternal chromosomes (Figure 1) into account. All further case–control and family-based analyses were executed using the FAMHAP software package,13 which allows family-based analysis13 and accepts data evaluation in association studies on unrelated individuals, as well as on affected sib pairs.13 Nuclear families were analyzed using the Monte Carlo simulation-based association test,14 which can be viewed as an extension of the transmission–disequilibrium test15 to both nuclear families with more than one affected child and to multimarker haplotypes.
Identification of DNA motifs
Motifs associated with imprinted genes16 or CTCF-binding sites17 were identified on NT_079596 with the aligner Mummer.18 Alignments to shorter consensus sequences of 19–26 bp16 were rejected if they covered less than 80%, and alignments of longer consensus sequences of 35–48 bp16 were rejected if they covered less than 65% of the consensus motif.16 Alignments to the 14 bp degenerate consensus sequence of CTCF17 were only accepted if the similarities covered 11 consecutive bases without gaps or mismatches.
Bioinformatics: repeats in CpG islands
Global GC content of the entire contig was calculated using the program OligoWords19 with a window size of 300 bp and step size of 150 bp. Repetitive elements were surveyed using eTandem20 on the Galaxy server21 with default settings except for a maximum repeat size of 50 bp. CpG islands were localized using CpGPlot20 with a minimum island size of 300 bp but otherwise default settings. These two data sets were combined using the Galaxy intersect program. Graphs were plotted using the statistical language R.22
WWW resources
The URLs for internet resources and databases presented herein are as follows: Genomic sequences were retrieved from NCBI database resources (http://www.ncbi.nlm.nih.gov/sites/entrez?db=nuccore&itool=toolbar).23 microRNA sequences and targets were predicted using miRbase at http://microrna.sanger.ac.uk/sequences/.24, 25 CpG islands and repetitive elements were located using CpGPlot and eTandem from the EMBOSS package20 available on the Galaxy server at http://main.g2.bx.psu.edu/.21 The Imprinting Gene Catalogue was accessed at http://igc.otago.ac.nz/home.html.26
Results
Monitoring parent-of-origin-specific decay of genomic sharing on 7q31-7qtel
We genotyped 29 clinically concordant and 19 clinically discordant F508del-CFTR homozygous sibling pairs9, 10 at 11 loci spanning a 38-Mb genomic area from the CFTR gene on 7q32 to 7qtel. CF is an autosomal recessive trait, and hence all CF siblings obligatorily share both alleles at the CFTR locus. Starting with IVS17bTA, a highly informative microsatellite marker within the CFTR gene, maternal and paternal chromosomes of both sibs were reconstructed along 7q. Using the information at neighboring markers to interpret loci with a noninformative phase, we implemented four previously typed markers10 into an integrated 15-marker map (Supplementary Table 1). The resulting microsatellite genotyping data set, consisting of approximately 2100 individual genotypes, was evaluated to compare the parent-of-origin-specific decay of intra-pair genomic sharing along 7q between concordant and discordant sib pairs (Figure 1a and b).
The frequency of recombined and non-recombined maternal chromosomes was similar comparing concordant and discordant pairs (P>0.26 at all loci, data not shown). In contrast, the distribution of nonrecombined and recombined paternal chromosomes was significantly different between concordant and discordant sib pairs at markers no. 6 (P=0.057), no. 7 (P=0.007), no. 8 (P=0.025), no. 9 (P=0.009) and no. 10 (P=0.018) (Figure 1a). After Bonferroni's correction for multiple testing of observed independent genomic fragments, significance was retained at marker no. 7 (Pcorr=0.047). Recombination events on discordant paternal chromosomes were detected 10 Mb earlier toward 7 cen compared with concordant paternal chromosomes (Figure 1b).
Owing to the more proximal onset of recombination on paternal chromosomes of discordant pairs, an elevated frequency of recombined chromosomes on paternal but not on maternal chromosomes was found to be associated with intrapair discordance in the clinical phenotype of F508del-CFTR homozygous siblings at several markers on 7q. This association can be explained by the presence of a paternally imprinted CF modifier in the analyzed genomic area, which determines intrapair discordance among CF siblings. To delineate the region that contains the putative imprinted gene(s) and/or their control elements, we described a candidate region, defined by the marker for which the significant onset of decay of sharing was observed among discordant pairs, and a core-candidate region, starting with the marker for which the maximum divergence of sharing was observed comparing the two contrasting phenotypes. Using these definitions, divergence in sharing of the paternal genomic sequence comparing concordant and discordant sibs points toward a 4.4 Mb candidate region, flanked by markers no. 6 and no. 9, which encompasses an even smaller 2.9 Mb core-candidate region, flanked by markers no. 7 and no. 9 (Figure 1).
Association with CF disease severity is observed within the 2.9-Mb core candidate region
We evaluated the allele distributions between concordant mildly affected, concordant severely affected and discordant patient pairs at all 7q marker loci (Figure 1c and d). Allele frequencies were significantly different at marker no. 7 (P=0.0005) comparing mildly and severely affected patient pairs (Figure 1c). Two alleles at marker no. 7, D7Sat3-10 and D7Sat3-13, accounted for 35% of CON+ chromosomes, whereas these alleles were observed on less than 5% of CON− chromosomes (Table 1). Less-prominent allelic associations were observed comparing concordant and discordant patient pairs (Figure 1d) at markers no. 8 (P=0.024) and no. 12 (P=0.017). As marker no. 7 defines the onset of the 2.9 Mb core candidate region, the colocalization of the association signal with CF disease severity and the paternally imprinted CF modifier predicted by the parent-of-origin-specific decay of genomic sharing might indicate that the underlying genes are the same.
Linkage disequilibrium on 7q differs by phenotype and parental origin
We asked for the decay of linkage disequilibrium on CF chromosomes using the transmission–disequilibrium test (TDT) on all markers along 7q. For maternal transmissions, concordant and discordant families behaved similarly in the TDT, whereas differences between these two phenotypes were observed for paternal transmissions (Figure 2). At marker no. 1, localized at a 10-Mb distance 3′ to CFTR, no imbalance between transmitted and nontransmitted chromosomes was observed for paternal transmissions among discordant pairs and maternal transmissions of both phenotypes. In contrast, TDT was still significant at marker no. 1 for paternal transmissions of concordant pairs (Table 2). Although our previous analysis of decay of genomic sharing monitors only the direct effect of the most recent recombination event within the last generation on the patient's phenotype, the analysis by TDT reflects recombination events that have occurred on ancestral chromosomes. The correlation between the concordant phenotype and the TDT signal that is still detectable at a 10-Mb distance to CFTR on paternal chromosomes reflects an enrichment of those CFTR haplotypes in this highly selected sub-population on which CFTR and marker no. 1 are in LD in the present-day CF population. In summary, concordance among CF sibs is observed if the paternal, but not the maternal, genomic region 3′ to CFTR is shared among siblings.
Exploratory analysis of the candidate region for imprinted genes
Although paternal imprinting has been reported for the 7q32 genes MEST27 (alias PEG1) and COPG2,28 this known imprinted cluster does not colocalize with the candidate region and hence is unlikely to be responsible for the clinical discordance among CF siblings with recombined paternal chromosomes. We have analyzed 7 Mb of genomic sequence of NT_079596 encompassing markers no. 6–no. 10 for elements that have been described to be associated with imprinted genes.
Wang et al16 described 16 consensus motifs of 19–48 bp near or within imprinted genes. Overall, 26 similarities covering at least 80% of the short 19–26 bp consensus sequences or at least 65% of the long 35–48 bp consensus sequences were observed in the analyzed 7-Mb region. Shorter alignments were rejected. In total, matches for 8 of the 16 imprinting gene-associated motifs were recognized on the 7q34 genomic sequence. As Wang et al16 differentiated between upstream-, downstream- and intronic consensus motifs, we have used these annotations to distinguish anchored and unanchored similarities. Half of the extragenic motifs could not be anchored to any nearby gene (seven anchored and eight unanchored similarities to upstream consensus motifs; two anchored and two unanchored similarities to downstream consensus motifs), whereas the majority of intronic motifs were found within genes (five anchored and two unanchored intronic consensus motifs). In total, 11 genes localized on the 7-Mb fragment were associated with imprinting-related motifs as described by Wang et al16 and/or predicted to be imprinted by Luedi et al,29, 30 who applied a genome-wide prediction algorithm to identify murine imprinted genes. The growth factor pleiotropin (PTN) and an aldo-keto reductase (AKR1D1), located immediately before and at the start of the core candidate region, were the only paternally imprinted genes within the 7q33-qtel syntenic region of the murine genome,29 suggesting that, besides the MEST/COPG2-area, an additional chromosomal segment is regulated by paternal imprinting on 7q. Pollard et al31 provided experimental evidence for imprinting KIAA1466 and HSPC049, both located in the candidate region near marker no. 6. In summary, 13 genes within the 4.4-Mb candidate region have been associated with imprinting by either in silico or experimental evidence (Table 3), although none of these genes seem to be directly connected to the pathophysiology of CF. In other words, on the basis of their annotation, none of these 13 genes is a straightforward candidate for a modifier gene for CF disease severity.
CCCTC-binding factor consensus sites and CpG islands enriched with repetitive elements cluster in the core candidate region
Ishihara et al17 have described a 14-bp evolutionarily conserved consensus sequence for CCCTC factor (CTCF) binding sites from sequences near H19/IGF2. Even though this consensus binding site is derived from one genomic region only, CTCF is known to act as a universal chromatin insulator, involved in the regulation of mono- and biallelically expressed genes.32 Similarities to this consensus sequence covering at least 11 bp, whereby no gap or mismatch of the aligned sequence was tolerated, were observed at eight positions in the analyzed 7-Mb genomic sequence of NT_079596. Of these eight motifs, seven are located distal to marker no. 7, defining the onset of the 2.9-Mb core candidate region. In other words, the core candidate region, but not the preceding 3 Mb genomic sequence, is enriched in CTCF consensus sites described for an evolutionarily conserved insulator element of the imprinted H19/IGF2 domain (Supplementary Table 2).
An enrichment of CpG islands with repetitive elements near imprinted genes has been observed.33, 34, 35 As the GC content and hence the density of CpG islands vary considerably throughout the human genome, we have decided to monitor a larger 24-Mb region rather than merely the 7 Mb encompassing the candidate region and flanking sequences. We compared the position of GC islands and the position of tandem repeats, thus being able to interrogate the entire genomic region for uncommon GC-rich repetitive elements (Supplementary Table 3). Three GC-rich repeat regions are observed at 7q32.1–32.2, 7q34 and 7q35–36.1 (Figure 3). The cluster of imprinted genes PEG1/COPG2 is located near the GC-rich tandem repeat enriched region at 7q32.1–32.2. CTNAP2, reported as an imprinted gene involved in autism, is located near the GC-rich tandem repeat enriched region at 7q35–36.1. The third GC-rich tandem repeat enriched region at 7q34 colocalizes with the 2.9-Mb core candidate region for which parent-of-origin-specific decay of genomic sharing predicts a paternally imprinted CF modifier. It is tempting to speculate that these CG-rich repetitive elements are most vulnerable to structural alterations on germline methylation of cytosines, which is the characteristic of all imprinting control elements identified to date.1, 2, 3 Interestingly, genes that show imprinting in human, mouse and cattle have repetitive elements that are conserved between the species,36 supporting the hypothesis that these repeats provide a structural signal that results from the primary sequence of the DNA. Such control elements might provide a robust and easily recognizable signal, whereby the structure is altered on parent-of-origin-specific methylation, in the DNA structure for downstream processes such as binding of proteins and alignment of noncoding RNAs,37 which establish the permanent silencing of the nonexpressed chromosomal copy of an imprinted gene.1, 2, 3, 38
Discussion
We monitored the parent-of-origin-dependent decay of genomic sharing among CF sib pairs between CFTR and 7qtel. Concordant, but not discordant, CF sib pairs coinherited a segment of the paternal F508del-CFTR chromosome, indicative of a paternally imprinted gene that modifies the course of CF disease. Two independent observations in our study substantiate the description of a paternally imprinted CF modulator on 7q34, which is most likely localized within or controlled by elements mapping to the 2.9-Mb core candidate region: first, the more proximal onset of recombination on paternal chromosomes is associated with a discordant clinical phenotype among CF siblings (Figure 1b), whereas the onset of recombination on maternal chromosomes is similar for CONC and DIS pairs. Second, imprinting-associated elements such as CTCF consensus sites and repeat-rich CpG islands are enriched in the 2.9-Mb core candidate region on 7q34 (Supplementary Table 2, Figure 3). Interestingly, allele distribution at marker D7Sat3, also defining the onset of the core candidate region, differs significantly between mildly and severely affected CF patient pairs (Figure 1, Table 1), which points to the presence of at least one modifier in the 7q34 region. It is tempting to speculate that underlying genetic entities that cause the association signal at D7Sat3 and the parent-of-origin effect that mapped to the core candidate region are the same, although no further evidence than positional overlap can be provided for this hypothesis so far. Besides the research reported in this paper, the larger 7q region has been implicated to contain a paternally imprinted gene responsible for growth retardation by maternal isodisomy 7 and/or Silver Russel Syndrome,39 and two QTLs for stature have been mapped in the vicinity of the paternally imprinted modulator on 7q34 described here.40, 41 Taken together, these findings indicate that the paternally imprinted 7q34 CF modifier acts on growth and stature.
We propose that the method applied here, that is, monitoring the decay of sharing in phenotypically informative sib pairs using a customized microsatellite map, can aid in the physical fine mapping of imprinted modulators of any disease that is shaped by parent-of-origin effects (Figure 4). As a quarter of sib pairs can be expected to share any genomic locus of interest according to Mendelian law, many large studies on affected patient pairs for diseases such as autism, schizophrenia and bipolar disorder will allow a priori classification of clinically concordant and discordant patient pairs and subsequent sampling of subgroups defined by intrapair sharing of parental haplotypes near a locus of interest. Paternal and maternal chromosomes of these selected subsamples of affected patient pairs can be followed up on a dense marker map as accomplished in this study for the paternally imprinted element on 7q34 to delineate novel imprinted genes in the human genome.
References
Reinhart B, Caillet JR : Genomic imprinting: cis-acting sequences and regional control. Int Rev Cytol 2005; 243: 173–213.
Wood AJ, Oakey RJ : Genomic imprinting in mammals: emerging themes and established theories. PLoS Genet 2006; 2: e147.
Robertson KD : DNA methylation and human disease. Nat Rev Genet 2005; 6: 597–610.
Knapp M, Strauch K : Affected-sib-pair test for linkage based on constraints for identical-by-descent distributions corresponding to disease models with imprinting. Genet Epidemiol 2005; 26: 273–285.
Wu CC, Shete S, Amos CI : Linkage analysis of affected sib pairs allowing for parent-of-origin effects. Ann Hum Genet 2005; 69: 113–126.
Shete S, Amos CI : Testing for genetic linkage in families by a variance-components approach in the presence of genomic imprinting. Am J Hum Genet 2002; 70: 751–757.
Bush A, Alton EWFW, Davies JC, Griesenbach U, Jaffe A : Cystic Fibrosis in the 21st Century. Basel: Karger, 2006.
Cutting GR : Modifier genetics: cystic fibrosis. Annu Rev Genomics Hum Genet 2005; 6: 237–260.
Stanke F, Becker T, Cuppens H et al: The TNFalpha receptor TNFRSF1A and genes encoding the amiloride-sensitive sodium channel ENaC as modulators in cystic fibrosis. Hum Genet 2006; 119: 331–343.
Mekus F, Laabs U, Veeze H, Tümmler B : Genes in the vicinity of CFTR modulate the cystic fibrosis phenotype in highly concordant or discordant F508del homozygous sib pairs. Hum Genet 2003; 112: 1–11.
Mekus F, Ballmann M, Bronsveld I, Bijman J, Veeze H, Tümmler B : Categories of deltaF508 homozygous cystic fibrosis twin and sibling pairs with distinct phenotypic characteristics. Twin Res 2000; 3: 277–293.
Sham PC, Curtis D : Monte Carlo tests for associations between disease and alleles at highly polymorphic loci. Ann Hum Genet 1995; 59: 97–105.
Herold C, Becker T : Genetic association analysis with FAMHAP: a major program update. Bioinformatics 2009; 25: 134–136.
Knapp M, Becker T : Family-based association analysis with tightly linked markers. Hum Hered 2003; 56: 2–9.
Spielman RS, McGinnis RE, Ewens WJ : Transmission test for linkage disequilibrium: the insulin gene region and insulin-dependent diabetes mellitus IDDM. Am J Hum Genet 1993; 52: 506–516.
Wang Z, Fan H, Yang HH et al: Comparative sequence analysis of imprinted genes between human and mouse to reveal imprinting signatures. Genomics 2004; 83: 395–401.
Ishihara K, Sasaki H : An evolutionarily conserved putative insulator element near the 3′ boundary of the imprinted Igf2/H19 domain. Hum Mol Genet 2002; 11: 1627–1636.
Kurtz S, Phillippy A, Delcher AL et al: Versatile and open software for comparing large genomes. Genome Biol 2004; 5: R1.
Reva ON, Tümmler B : Differentiation of regions with atypical oligonucleotide composition in bacterial genomes. BMC Bioinformatics 2005; 6: 251.
Rice P, Longden I, Bleasby A : EMBOSS: the European Molecular Biology Open Software Suite. Trends Genet 2000; 16: 276–277.
Giardine B, Riemer C, Hardison RC et al: Galaxy: a platform for interactive large-scale genome analysis. Genome Res 2005; 15: 1451–1455.
R Development Core Team: R: A language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing, 2008.
Scherer SW, Cheung J, MacDonald JR et al: Human chromosome 7: DNA sequence and biology. Science 2003; 300: 767–772.
Griffiths-Jones S, Grocock RJ, van Dongen S, Bateman A, Enright AJ : miRbase: microRNAs sequences, targets and gene nomenclature. Nucl Acids Res 2006; 34: D140–D144.
Griffiths-Jones S : The microRNA Registry. Nucl Acids Res 2004; 32: D109–D111.
Morison IM, Paton CJ, Cleverley SD : The imprinted gene and parent-of-origin effect database. Nucl Acids Res 2001; 29: 275–276.
Kobayashi S, Kohda T, Miyoshi N et al: Human PEG1/MEST, an imprinted gene on chromosome 7. Hum Molec Genet 1997; 6: 781–786.
Blagitko N, Schulz U, Schinzel AA, Ropers HH, Kalscheuer VM : Gamma-2-COP, a novel imprinted gene on chromosome 7q32, defines a new imprinting cluster in the human genome. Hum Molec Genet 1999; 8: 2387–2396.
Luedi PP, Hartemink AJ, Jirtle RL : Genome-wide prediction of imprinted murine genes. Genome Res 2005; 15: 875–884.
Luedi PP, Dietrich FS, Weidman JR, Bosko JM, Jirtle RL, Hartemink AJ : Computational and experimental identification of novel human imprinted genes. Genome Res 2007; 17: 1723–1730.
Pollard KS, Serre D, Wang X et al: A genome-wide approach to identifying novel-imprinted genes. Hum Genet 2008; 122: 625–634.
Hore TA, Deakin JE, Marshall Graves JA : The evolution of epigenetic regulators CTCF and BORIS/CTCFL in amniotes. PLoS Genet 2008; 4: e1000169.
Hutter B, Helms V, Paulsen M : Tandem repeats in the CpG islands of imprinted genes. Genomics 2006; 88: 323–332.
Walter J, Hutter B, Khare T, Paulsen M : Repetitive elements in imprinted genes. Cytogenet Genome Res 2006; 113: 109–115.
Daura-Oller E, Cabré M, Montero MA, Paternáin JL, Romeu A : A first-stage approximation to identify new imprinted genes through sequence analysis of its coding regions. Comp Funct Genomics 2009; 549387, e-pub ahead of print 8 April 2009. PMID: 19360135.
Khatib H, Zaitoun I, Kim ES : Comparative analysis of sequence characteristics of imprinted genes in human, mouse, and cattle. Mamm Genome 2007; 18: 538–547.
Mattick JS : The genetic signatures of noncoding RNAs. PLoS Genet 2009; 5: e1000459.
Royo H, Cavaillé J : Non-coding RNAs in imprinted gene clusters. Biol Cell 2008; 100: 149–166.
Hannuila K, Lipsanen-Nymawn M, Kontiokari T, Kere J : A narrow segment of maternal uniparental disomy of chromosome 7q31-qter in Silver-Russel Syndrome delimits a candidate gene region. Am J Hum Genet 2001; 68: 247–253.
Hirschhorn JN, Lindgren CM, Daly MJ et al: Genomewide linkage analysis of stature in multiple populations reveals several regions with evidence of linkage to adult height. Am J Hum Genet 2001; 69: 106–116.
Perola M, Ohman M, Hiekkalinna T et al: Quantitative-trait-locus analysis of body-mass index and of stature, by combined analysis of genome scans of five Finnish study groups. Am J Hum Genet 2001; 69: 117–123.
Rowntree R, Harris A : DNA polymorphisms in potential regulatory elements of the CFTR gene alter transcription factor binding. Hum Genet 2002; 111: 66–74.
Arking DE, Cutler DJ, Brune CW et al: A common genetic variant in the neurexin superfamily member CNTNAP2 increases familial risk of autism. Am J Hum Genet 2008; 82: 160–164.
Acknowledgements
This study was supported by a grant of the Deutsche Forschungsgemeinschaft (SFB621-C7).
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Competing interests
The authors declare no conflict of interest.
Additional information
Supplementary Information accompanies the paper on European Journal of Human Genetics website
Supplementary information
Rights and permissions
About this article
Cite this article
Stanke, F., Davenport, C., Hedtfeld, S. et al. Differential decay of parent-of-origin-specific genomic sharing in cystic fibrosis-affected sib pairs maps a paternally imprinted locus to 7q34. Eur J Hum Genet 18, 553–559 (2010). https://doi.org/10.1038/ejhg.2009.229
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1038/ejhg.2009.229