![]() | ![]() |
Formats:
|
||||||||||||||||||
Copyright © 2004, Cold Spring Harbor Laboratory Press The histone modification pattern of active genes revealed through genome-wide chromatin analysis of a higher eukaryote 1Division of Basic Sciences, 2Division of Public Health Sciences, and 3Genomics Resource, Fred Hutchinson Cancer Research Center, Seattle, Washington 98109, USA; 4Department of Radiation Oncology, University of Washington School of Medicine, Seattle, Washington 98195, USA; 5Department of Biology, Howard Hughes Medical Institute, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA; 6Chromatin and Gene Expression Group, Institute for Biomedical Research, University of Birmingham Medical School, Birmingham B152TT, UK; 7Friedrich Miescher Institute for Biomedical Research, 4058 Basel, Switzerland 8Corresponding authors.E-MAIL dirk/at/fmi.ch; markg/at/fhcrc.org; FAX 41-61-6973976. Received February 24, 2004; Accepted April 14, 2004. This article has been cited by other articles in PMC.Abstract The covalent modification of nucleosomal histones has emerged as a major determinant of chromatin structure and gene activity. To understand the interplay between various histone modifications, including acetylation and methylation, we performed a genome-wide chromatin structure analysis in a higher eukaryote. We found a binary pattern of histone modifications among euchromatic genes, with active genes being hyperacetylated for H3 and H4 and hypermethylated at Lys 4 and Lys 79 of H3, and inactive genes being hypomethylated and deacetylated at the same residues. Furthermore, the degree of modification correlates with the level of transcription, and modifications are largely restricted to transcribed regions, suggesting that their regulation is tightly linked to polymerase activity. Keywords: Epigenetics, chromatin, histone, Drosophila, chromatin immunoprecipitation, microarray Nucleosomal histones are the target of a variety of covalent modifications. It is now well established that posttranslational acetylation, methylation, phosphorylation, and ubiquitination of histones play an intrinsic role in transcriptional regulation and are potentially involved in the propagation of the transcriptional state through cell division (Turner 2002; Felsenfeld and Groudine 2003). On the basis of the large number of these covalent marks, it was suggested that these alterations form a histone code, which mediates specificity in transcriptional regulation (Strahl and Allis 2000). However, although considerable progress has been made in determining the enzymes that alter histones, only limited information exists regarding the patterns of nucleosomal modifications at a given gene. Immunostaining of the nucleus with antibodies specific for a histone modification reveals whether a modification occurs in the euchromatic or the heterochromatic nuclear compartment. The heterochromatic compartment was first defined in higher eukaryotes by light microscopy as the part of the genome that stays highly compact throughout the cell cycle (Heitz 1928). It consists mainly of large blocks of pericentromeric repeats that lack genes. The euchromatic nuclear compartment contains the majority of genes interspersed by intergenic regions (Adams et al. 2000). Given that developmental and tissue-specific gene regulation occurs in this chromosomal environment, it is not surprising that the exact chromatin structure of the euchromatic nuclear compartment is far from uniform (Felsenfeld and Groudine 2003). To determine the distribution of histone modification patterns in euchromatin, we analyzed the modification state of over 5000 genes in the Drosophila genome. We combined chromatin immunoprecipitation (ChIP) with subsequent microarray analysis to measure H3 and H4 acetylation, H3 Lys 4 dimethylation (H3-di-meK4) and trimethylation (H3-tri-meK4), and Lys 79 dimethylation (H3-di-meK79) at >40% of all genes in this organism. This analysis has resulted in a genome-wide distribution map of chromatin modifications in a higher eukaryote and allows us to determine whether modifications coincide at the same genes and whether their presence depends on the chromosomal position of a gene. Furthermore, by combining these data sets with our previous analysis of replication timing and transcription (Schübeler et al. 2002), we constructed an epigenomic matrix that allows us to analyze the interplay of each of these histone modifications with transcriptional activity and the timing of DNA replication. Results Chromatin profiling of the Drosophila genome We used ChIP followed by hybridization to DNA microarrays to map the pattern of six different histone modifications in the Drosophila genome. Similar to our previous study of the genome-wide pattern of DNA replication, we used the karyotypically stable Drosophila Kc cell line (Schübeler et al. 2002). Chromatin was purified after formaldehyde cross-linking (= input) and immunoprecipitated either with antibodies that recognize a specific histone modification or without the addition of antisera as a control. DNA enriched for a specific modification (= bound) and DNA from the input material was isolated, labeled with different fluorescent dyes, and hybridized to a DNA microarray (Fig. 1A
In addition to H3-di-meK4, similar chromatin profiling experiments were performed for four other euchromatic histone modifications (H3-tri-meK4, H3-Ac, H4-Ac, and H3-di-K79; see following). To verify enrichments detected by the microarray hybridizations, we performed semiquantitative PCR controls for a subset of genes, which confirmed the microarray results (Fig. 2
Each immunoprecipitation was repeated three times independently, starting with cells from different passages. These experiments proved to be highly reproducible, as indicated by a low variation (average covariance of 13%). The resulting set of chromatin profiles for six different histone modifications contained 5375 single-copy genes, representing >40% of all predicted Drosophila genes. Histone acetylation and Lys 4 and Lys 79 methylation are enriched at the same genes The actual level of histone acetylation is dynamic and depends on the regulated interplay between histone acetylases (HATs) and histone deacetylases (HDACs; Turner 2002). In vitro studies suggest that HATs and HDACs can vary widely in their histone preference and furthermore in their preference for a certain lysine (Kuo and Allis 1998; Johnson et al. 2002; Robyr et al. 2002). On the other hand, most histone methylases seem to modify only a defined arginine or lysine residue (Zhang and Reinberg 2001; Kouzarides 2002). Compared with acetylation, overall histone methylation has a long half-life (Waterborg 1993), possibly due to the absence of specific histone demethylases, which have not yet been conclusively identified (Bannister et al. 2002). The list of enzymes that potentially acetylate, deacetylate, or methylate nucleosomal histones has grown substantially in recent years, and it is likely that each modification is catalyzed by one or several enzymes. Thus, each modification could have a unique genomic distribution reflecting its function and regulation. To address whether such diversity in histone-modifying enzymes yields diversity in histone modification patterns, we generated scatterplots and calculated the Pearson correlation coefficient (R) for all potential pairs between the different modifications and the control (Fig. 3
The transcriptional state reflects the pattern of histone modifications Recent studies have revealed that histone acetylation and H3-K4 or H3-K79 methylation are rarely present on heterochromatin and are not directly involved in transcriptional repression (Turner 2002). Consequently, these modifications should be present on genes that are not repressed and thus are either transcribed or in an activatable state. To study the relationships of the analyzed histone modifications with the transcriptional state of a given gene, we compared the histone modification data sets with our previously described microarray expression data obtained with the identical microarray and Kc cell line (Schübeler et al. 2002). Genes were scored as transcriptionally active or inactive as described (Schübeler et al. 2002). A comparison between the transcriptional status and the enrichment for each of the analyzed euchromatic histone modifications reveals a strong correlation between enrichment and the likelihood of transcription (Fig. 4
Clearly, our finding does not rule out that these coinciding modifications are distributed unevenly along the transcribed regions or that other histone modifications display a more variable genomic distribution. For example, methylation of Lys 20 of histone H4 has been shown to be enriched on inactive genes in Drosophila polytene chromosomes (Fang et al. 2002; Nishioka et al. 2002). Using our experimental conditions, however, we were not successful in immunoprecipitating chromatin with various antisera against H4-di-meK20 (data not shown). Nevertheless, the strong positive correlation that we report for five different euchromatic modifications suggests there is a general binary chromatin state of euchromatic genes, in which the transcriptional “on” and “off” configurations are each marked by a common histone modification pattern, suggesting a coordinated regulation of different histone-modifying enzymes. The degree of euchromatic histone modifications is coupled to the amount of RNA produced As our experiments indicate that the transcriptional status of a gene is tightly correlated with a common histone modification pattern, we wished to address whether the level of modification is correlated with the level of transcription. Previously, we scored a gene as “on” if the RNA signal obtained from the microarray hybridization was above the background signal (Schübeler et al. 2002). This measurement reflects the presence of mRNA but is not a robust indicator for the RNA quantity, because it does not account for sequence-specific differences that can affect the spot intensity during the array hybridization. To account for spot characteristics in signal intensity, we normalized the expression data by dividing it by the average signal obtained from genomic DNA. The resulting value was used as a measure of the amount of transcript present. This procedure leads to a better approximation of the actual level of cytoplasmic RNA, but it should be noted that any measure of steady-state RNA cannot account for differences in transcript half-life. A comparison of the normalized transcript value with the chromatin profiles (Fig. 5
Di- and trimethylation of H3 Lys 4 are present on the same genes Surprisingly, our analysis of 5375 Drosophila genes does not reveal a difference between H3-di-meK4 and H3-trimeK4 and their relation to transcriptional activity. This observation contrasts with studies in budding yeast, which suggested that Lys 4 dimethylation marks active and activatable genes, whereas Lys 4 trimethylation is an exclusive mark for highly expressed genes (Santos-Rosa et al. 2002; Ng et al. 2003b). However, a recent analysis in chicken erythrocytes did not reveal such difference in the presence of di- and trimethylation of this residue; instead, di- and trimethylation seemed to peak at the same sequences (Schneider et al. 2004). Together with our observed genome-wide pattern in Drosophila, this might indicate a difference in the regulation of K4 methylation between budding yeast and multicellular organisms. Genome-wide distribution of H3-di-meK79 methylation Methylation of Lys 79 of histone H3 was first described in Saccharomyces cerevisiae as a histone modification that occurs at the majority of nucleosomes and that can affect gene silencing even though it is absent from silenced loci (Ng et al. 2002; van Leeuwen et al. 2002). Furthermore, studies in mammalian cell lines showed that H3-di-meK79 is hypermethylated in euchromatin (Ng et al. 2003a). Here we find that the presence of this modification in the Drosophila euchromatic compartment is restricted to actively transcribed genes. H3-K79 methylation is less abundant in flies than in budding yeast (McKittrick et al. 2004). This disparity could reflect the difference in gene density between these organisms. In S. cerevisiae, two-thirds of the genome consists of annotated genes (Harrison et al. 2002), and intergenic regions are short in length. As 70%-80% of all genes are active in this organism under standard growth conditions (E. Oakeley, pers. comm.), the majority of nucleosomes reside in, or are in close proximity to, actively transcribed regions. Consequently, the high abundance of H3-di-meK79 methylation in yeast is consistent with the hypothesis that this modification is preferentially associated with transcriptionally active genes, as our data suggest for Drosophila. Timing of DNA replication is not an indicator of the level of transcription We have shown previously that genes that replicate early in S-phase are more likely to be active than late replicating genes (Schübeler et al. 2002). However, in contrast to the histone modifications, we find that the level of transcript from active genes is independent of their replication timing (Fig. 5 H3 Lys 4 dimethylation is restricted to transcribed regions The correlation between euchromatic histone modifications and transcriptional status and level argues for a process of chromatin modification that is intrinsically transcription coupled. As such, these observations are compatible with a model in which histone-modifying enzymes interact directly with the polymerase complex. A prediction of such a scenario is that these modifications should largely be restricted to the transcribed region. Although the use of a microarray that consists of cDNAs permits a survey of the histone modifications of a large number of genes, the absence of intergenic sequence probes limits conclusions regarding the chromosomal extent of the analyzed modification. Thus, we used a novel Drosophila genomic DNA array consisting of all nonrepetitive sequences from chromosome 2L (D.M. MacAlpine and S.P. Bell, in prep.) to map the local extent of histone H3 Lys 4 dimethylation for a large contiguous region. To ensure comparability, we hybridized the same ChIP samples to the chromosomal array that were used for the cDNA hybridizations. A comparison of chromosomal fragments that are enriched for Lys 4 methylation of histone H3 reveals that ~87% of them are in genic regions (Fig. 6A,B
Discussion Cotranscriptional chromatin modification? Using a genome-wide analysis of chromatin structure, we report a strong interplay between transcription and a set of euchromatic histone modifications. Our principal findings include the following: (1) There is a binary pattern of histone modifications for euchromatic genes, with active genes consistently marked by all of the euchromatic histone modifications analyzed and the absence of any of these modifications on nontranscribed genes; (2) the level of transcript abundance is positively correlated with the degree of euchromatic histone modifications; and (3) the chromosomal extent of the modification coincides with, and is limited to, the transcribed region. Our surprising observation of an “all-or-none” pattern of histone modification for euchromatic genes suggests a concerted mechanism for the placing of these marks. For example, the euchromatic modifications could be restricted to nucleosomes containing a certain histone H3 variant. The replication-independent deposition of the H3 variant 3.3 (Ahmad and Henikoff 2002a,b) raises the possibility that in Metazoa the majority of euchromatic histone H3 modifications may occur on H3.3. Indeed, histone H3.3 has recently been reported to be enriched in acetylated lysines and in methylated Lys 4 and Lys 79 (McKittrick et al. 2004). Although it is currently unclear whether these euchromatic modifications can be set prior to nucleosome assembly and deposition, there is ample evidence for post-deposition modification of histones. For example, a link between the elongating polymerase complex and several histone-modifying enzymes (Hampsey and Reinberg 2003), including Set1 (an H3-K4 methylase; Ng et al. 2003b), Set2 (an H3-K36 methylase; Krogan et al. 2003b; Xiao et al. 2003), and Sas3 (a HAT; John et al. 2000), has been demonstrated in S. cerevisiae. Furthermore, genetic evidence from S. cerevisiae suggests that Dot1, the H3-K79 methylase, may also be recruited to chromatin by the elongating polymerase complex (Krogan et al. 2003a). These findings in budding yeast indicate a coupling of histone modifications and transcription. Our genome-wide analysis in Drosophila cells strongly supports these findings and further argues that such interactions may be an integral component of transcriptional elongation in metazoans. More than 25 years ago, it was observed that chromatin of active genes is more sensitive to DNaseI digestion than that of inactive genes (Weintraub and Groudine 1976). Although, to date, the nature of this sensitivity has been elusive, we propose that it reflects the presence of euchromatic tail modifications. Why does such a “switch” between two chromatin configurations involve a large set of histone modifications? Each modification may participate in creating a chromatin structure that facilitates transcription, either by changing nucleosomal interactions or by serving as a binding substrate for other proteins. The use of multiple modifications would make such system more robust. Regardless, our results reveal a tight coupling between transcription and euchromatic histone modifications. On recruitment, these modifications may serve to facilitate polymerase elongation and reinitiation and to propagate the transcriptional state through cell division. Materials and methods Tissue culture and chromatin cross-linking Drosophila melanogaster Kc cells were cultured as described (van Steensel et al. 2001). Cells (5 × 108) were cross-linked in insect media with formaldehyde as described (Schübeler et al. 2000a,b) with minor modifications. Sonication was performed five times for 30 sec in 40 mM Tris-HCl (pH 8.0), 1% Triton X-100, 4 mM EDTA, 300 mM NaCl. Antibodies and ChIP After centrifugation, the supernatant was used for the immunoprecipitation, which was performed as described (Schübeler et al. 2000a) except that immunoprecipitation of H3-phos-S10 was performed in the presence of phosphatase inhibitors (50 mM NaF and 0.2 mM Na3VO4). Part of the supernatant was set aside and served as the input fraction. Polyclonal antibodies against acetylated H3 and H4 and for H3-phos-S10 were purchased from Upstate Biotechnology. Two antisera against H3-di-meK4 were used. One was purchased from Upstate Biotechnology [H3-di-meK4(U)] and the second [H3-di-meK4(T)] was raised by immunizing rabbits with the peptide ARTme2KQTARKSC, where m2K is dimethyl lysine, using the procedures described previously (White et al. 1999). Both antibodies yielded similar enrichments. The antiserum against H3-tri-meK4 was raised by immunization with a peptide that was the same except for trimethyl lysine at position 4. Specificity of the antibodies for dior trimethylated Lys 4 was verified by peptide competition assay (L.P. O'Neill and B.M. Turner, unpubl.). The antiserum against H3-di-meK79 was raised against the peptide IAQDFme2KTDLRF (F. van Leeuwen and D.E. Gottschling, unpubl.). PCR amplification and fluorescent labeling DNA from the antibody-bound and input fraction was isolated after reversal of the cross-link and amplified as described (Schübeler et al. 2002) using a primer that was labeled with either Cy3 or Cy5 (Qiagen). Size distribution and fluorescence of the amplified product were confirmed by agarose gel electrophoresis followed by fluorescent scanning (Molecular Dynamics). We carried out four PCR reactions for each input and bound sample and pooled them before the hybridization. We did three independent repeats starting with different passages of Kc cells and performed one hybridization for each repeat. To account for potential influences of the fluorescent dyes, we reversed the dye combination for the input and bound sample in one of the three hybridizations. Control PCR Primers were designed to amplify products of 80-120 bp to control for enrichments for histone modifications as detected by microarray hybridization. Five-nanogram template (genomic DNA or DNA-enriched for a histone modification) was used in each reaction using standard conditions and 27 rounds of amplification. PCR products were separated by gel electrophoresis and visualized by ethidium bromide staining of the gel. Detailed conditions and primer sequences are available on request. Array analysis The fluorescent scans were analyzed essentially as described using the GenePix software package (Axon) combined with improved background correction (Kooperberg et al. 2002). The ratio of the two fluorescent dyes was log2 transformed and normalized using intensity-dependent normalization (Yang et al. 2001). We then used the average value from the three independent repeats for further analysis. The high reproducibility of these experiments is indicated by a low mean covariance of 13%. The resulting data set is available on our Web site (http://www.fmi.ch/members/dirk.schubeler/supplemental.htm). The chromosomal arrays were analyzed with Spot software (CSIRO) using the sma package for R (Dudoit et al. 2002b). Expression normalization In order to normalize our previously published expression analysis (Schübeler et al. 2002) for spot intensity, we divided the normalized RNA fluorescence by the normalized genomic signal of the control experiment (dA). Microarray preparation Two different spotted microarrays were used in this study: a previously published cDNA array containing 5543 expressed sequence tags from D. melanogaster (Schübeler et al. 2002) and a newly developed chromosomal array representing all nonrepetitive sequences from the Drosophila chromosome 2L. The chromosomal array contains 11,816 unique 1.5-kb PCR products that tile the entire sequenced region of the left arm of chromosome 2 (D.M. MacAlpine and S.P. Bell, in prep.). Sample preparation and hybridization were essentially as described (van Steensel et al. 2001). Acknowledgments We thank Matthew Lorincz, Fang-Lin Sun, and Muhammad Tariq for critical reading of the manuscript; Bas van Steensel, Steve Henikoff, Ed Oakeley, and members of the Groudine and Schübeler labs for suggestions; and the staff of the Genomics Resource unit at the FHCRC for microarray printing and processing. M.G. is supported by NIH grants DK44746 and HL57620, D.E.G. by GM43893, and C.K. by CA 74841. D.S. and C.W. are supported by the Novartis Research Foundation. Work by S.P.B. and D.M.M. is funded by the Howard Hughes Medical Institute. D.M.M. is a fellow of the Damon Runyon Cancer Research Foundation. Grant support for B.M.T. is from BBSRC and Cancer Research UK. L.P.O'N. is a Royal Society Research Fellow. F.v.L. is a Special Fellow of The Leukemia and Lymphoma Society. The publication costs of this article were defrayed in part by payment of page charges. This article must therefore be hereby marked “advertisement” in accordance with 18 USC section 1734 solely to indicate this fact. Notes Article and publication are at http://www.genesdev.org/cgi/doi/10.1101/gad.1198204. Supplemental material is available at http://www.genesdev.org. References
|
PubMed related articles
Your browsing activity is empty. Activity recording is turned off. |
|||||||||||||||||
Cell. 2002 Nov 1; 111(3):285-91.
[Cell. 2002]Nature. 2003 Jan 23; 421(6921):448-53.
[Nature. 2003]Nature. 2000 Jan 6; 403(6765):41-5.
[Nature. 2000]Science. 2000 Mar 24; 287(5461):2185-95.
[Science. 2000]Nature. 2003 Jan 23; 421(6921):448-53.
[Nature. 2003]Nat Genet. 2002 Nov; 32(3):438-42.
[Nat Genet. 2002]Nat Genet. 2002 Nov; 32(3):438-42.
[Nat Genet. 2002]Cell. 1999 Apr 2; 97(1):99-109.
[Cell. 1999]Genes Dev. 2003 Jan 1; 17(1):43-8.
[Genes Dev. 2003]Cell. 2000 Aug 4; 102(3):279-91.
[Cell. 2000]Nat Genet. 2002 Nov; 32(3):438-42.
[Nat Genet. 2002]Cell. 2002 Nov 1; 111(3):285-91.
[Cell. 2002]Bioessays. 1998 Aug; 20(8):615-26.
[Bioessays. 1998]J Biol Chem. 2002 Mar 15; 277(11):9590-7.
[J Biol Chem. 2002]Cell. 2002 May 17; 109(4):437-46.
[Cell. 2002]Genes Dev. 2001 Sep 15; 15(18):2343-60.
[Genes Dev. 2001]Cell. 2002 Nov 1; 111(3):285-91.
[Cell. 2002]Nat Genet. 2002 Nov; 32(3):438-42.
[Nat Genet. 2002]Curr Biol. 2002 Jul 9; 12(13):1086-99.
[Curr Biol. 2002]Mol Cell. 2002 Jun; 9(6):1201-13.
[Mol Cell. 2002]Nat Genet. 2002 Nov; 32(3):438-42.
[Nat Genet. 2002]Nature. 2002 Sep 26; 419(6905):407-11.
[Nature. 2002]Mol Cell. 2003 Mar; 11(3):709-19.
[Mol Cell. 2003]Nat Cell Biol. 2004 Jan; 6(1):73-7.
[Nat Cell Biol. 2004]Genes Dev. 2002 Jun 15; 16(12):1518-27.
[Genes Dev. 2002]Cell. 2002 Jun 14; 109(6):745-56.
[Cell. 2002]Proc Natl Acad Sci U S A. 2003 Feb 18; 100(4):1820-5.
[Proc Natl Acad Sci U S A. 2003]Proc Natl Acad Sci U S A. 2004 Feb 10; 101(6):1525-30.
[Proc Natl Acad Sci U S A. 2004]Nucleic Acids Res. 2002 Mar 1; 30(5):1083-90.
[Nucleic Acids Res. 2002]Nat Genet. 2002 Nov; 32(3):438-42.
[Nat Genet. 2002]Genome Biol. 2003; 5(1):R3.
[Genome Biol. 2003]Mol Cell. 2000 Feb; 5(2):377-86.
[Mol Cell. 2000]Proc Natl Acad Sci U S A. 2002 Dec 24; 99(26):16847-52.
[Proc Natl Acad Sci U S A. 2002]Mol Cell Biol. 2002 Nov; 22(22):8026-34.
[Mol Cell Biol. 2002]Proc Natl Acad Sci U S A. 2002 Jun 25; 99(13):8695-700.
[Proc Natl Acad Sci U S A. 2002]Cell. 2002 Nov 1; 111(3):281-4.
[Cell. 2002]Mol Cell. 2002 Jun; 9(6):1191-200.
[Mol Cell. 2002]Proc Natl Acad Sci U S A. 2004 Feb 10; 101(6):1525-30.
[Proc Natl Acad Sci U S A. 2004]Cell. 2003 May 16; 113(4):429-32.
[Cell. 2003]Mol Cell. 2003 Mar; 11(3):709-19.
[Mol Cell. 2003]Mol Cell Biol. 2003 Jun; 23(12):4207-18.
[Mol Cell Biol. 2003]Genes Dev. 2003 Mar 1; 17(5):654-63.
[Genes Dev. 2003]Genes Dev. 2000 May 15; 14(10):1196-208.
[Genes Dev. 2000]Science. 1976 Sep 3; 193(4256):848-56.
[Science. 1976]Nat Genet. 2001 Mar; 27(3):304-8.
[Nat Genet. 2001]Genes Dev. 2000 Apr 15; 14(8):940-50.
[Genes Dev. 2000]Mol Cell Biol. 2000 Dec; 20(24):9103-12.
[Mol Cell Biol. 2000]Genes Dev. 2000 Apr 15; 14(8):940-50.
[Genes Dev. 2000]Methods. 1999 Nov; 19(3):417-24.
[Methods. 1999]Nat Genet. 2002 Nov; 32(3):438-42.
[Nat Genet. 2002]J Comput Biol. 2002; 9(1):55-66.
[J Comput Biol. 2002]Nat Genet. 2002 Nov; 32(3):438-42.
[Nat Genet. 2002]Nat Genet. 2002 Nov; 32(3):438-42.
[Nat Genet. 2002]Nat Genet. 2001 Mar; 27(3):304-8.
[Nat Genet. 2001]Nat Genet. 2002 Nov; 32(3):438-42.
[Nat Genet. 2002]