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Results for “fine-mapping”

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PubMed2001

CTLA-4 and not CD28 is a susceptibility gene for thyroid autoantibody production.

One of the hallmarks of the human autoimmune thyroid diseases (AITDs) is the production of high titers of autoantibodies against thyroglobulin and thyroid peroxidase that often precedes the development of clinical disease. A high percentage of family members of patients with AITDs have significant titers of thyroid antibodies (TAbs), suggesting a genetic predisposition for their development, and segregation analyses have favored a dominant mode of inheritance. The aim of the present study was to identify the susceptibility genes for TAb production. We completed a genome-wide scan in 56 multiplex families (323 individuals) in which all family members with AITDs and/or detectable TAbs were considered affected. The highest 2-point logarithm of odds (LOD) score of 3.6 was obtained for marker D2S325 on chromosome 2q33 at 210.9 centimorgans. This locus showed no evidence for linkage to Graves' disease or Hashimoto's thyroiditis (2-point LOD scores, 0.42 for Graves' disease and -0.60 for Hashimoto's thyroiditis), demonstrating that the gene in this region conferred susceptibility to TAbs, but that clinical disease development required additional genetic and/or environmental factors. We then fine-mapped the region linked with TAbs using 11 densely spaced microsatellite markers. Multipoint linkage analysis using these markers showed a maximum LOD score of 4.2 obtained for marker D2S155 at 209.8 centimorgans (with heterogeneity, alpha = 0.41). As the linked region contained the CTLA-4 and CD28 genes, we then tested whether they were the susceptibility genes for TAbs on chromosome 2q33. The CD28 gene was sequenced in 15 individuals, and a new C/T single nucleotide polymorphism (SNP) was identified in intron 3. Analysis of this SNP revealed no association with TAbs in the probands of the linked families (families that were linked with D2S155) compared with controls. The CTLA-4 gene was analyzed using the known A/G(49) SNP, and the results showed a significantly increased frequency of the G allele in the probands of the linked families compared with the probands of the unlinked families or with controls (P = 0.02). We concluded that 1) a major gene for thyroid autoantibody production was located on chromosome 2q33; 2) the TAb gene on chromosome 2q33 was most likely the CTLA-4 gene and not the CD28 gene; and 3) CTLA-4 contributed to the genetic susceptibility to TAb production, but there was no evidence that it contributed specifically to Graves' or Hashimoto's diseases.

Abatacept↗

PubMed2025

Genetic Determinants of Leisure-Time Physical Activity in the Taiwanese Population: A Genome-Wide Association Study.

BACKGROUND: Physical inactivity contributes to systemic disease burden and premature mortality worldwide. Leisure-time physical activity (LTPA) improves health outcomes; however, its genetic determinants, particularly in Asian populations, remain unclear. This study aimed to identify genetic loci associated with LTPA in the Taiwanese population. METHODS: We conducted genome-wide association studies in 122,258 Taiwan Biobank participants. LTPA was assessed both as a binary trait (regular exerciser vs non-exerciser) and an ordinal trait (categorized by MET-hours per week into low, moderate, and high physical activity levels). Logistic and ordinal logistic regression models were used under an additive genetic model, adjusting for age, age 2 , sex, body mass index, smoking, and the first 10 genetic principal components. Candidate nonsynonymous mutations were further examined in 1494 whole-genome sequenced participants. RESULTS: Binary trait genome-wide association studies identified genome-wide significant (GWS) loci at ATXN2 (12q24.12), FTO (16q12.2), and NOTCH4 (6p21.32), with associations for FTO and NOTCH4 only observed in body mass index (BMI)-adjusted models. Ordinal trait analysis (<10, 10-<20, ≥20 MET·h·wk -1 ) identified a single GWS locus at BRAP (12q24.12). Fine-mapping of 12q24.12 revealed multiple GWS single-nucleotide polymorphisms (SNPs) in strong linkage disequilibrium with lead variants; these signals largely disappeared after conditional analysis, consistent with a single underlying association. Whole-genome sequencing and linkage disequilibrium analysis identified three GWS nonsynonymous mutations, with ALDH2 rs671 emerging as the most likely causal variant. CONCLUSIONS: ATXN2-ALDH2 region on chromosome 12q24.12 was identified as a key locus for LTPA in Taiwanese individuals. These findings enhance our understanding of the genetic basis of physical activity and may inform future precision medicine and public health strategies.

Adult↗

PubMed2001

Confirmation and fine mapping of chromosomal regions influencing peak bone mass in mice.

Bone mineral density (BMD) is determined by both environmental influences and polygenic inheritance. The extreme difficulty of dissecting out environmental factors from genetic ones in humans has motivated the investigation of animal models. Previously, we used quantitative trait locus (QTL) analysis to examine peak BMD in 24 recombinant inbred (RI) mouse strains, derived from a cross between C57BL/6 (B6) and DBA/2 (D2) progenitors (RI-BXD). The distribution of BMD values among these strains indicated strong genetic influences and a number of chromosomal sites linked to BMD were identified provisionally. Using three additional independent mapping populations derived from the same progenitors, we have confirmed loci on chromosomes 1, 2, and 4, and 11 that contain genes that influence peak BMD. Using a novel fine-mapping approach (RI segregation testing [RIST]), we have substantially narrowed two of the BMD-related chromosomal regions and in the process eliminated a number of candidate genes. The homologous regions in the human genome for each of these murine QTLs have been identified in recent human genetic studies. In light of this, we believe that findings in mice should aid in the identification of specific candidate genes for study in humans.

Animals↗

PubMed2025

Genetic mapping in the red mason bee implicates ANTSR as an ancient sex-determining locus in bees and ants.

Haplodiploid inheritance, in which females are diploid and males are haploid, is found in all species of Hymenoptera. Sex in haplodiploids is commonly determined by the alleles present at a complementary sex determination (CSD) locus, with heterozygosity triggering the female developmental pathway. The identity of this locus differs among taxa and is only known in a few species. Here, we map a single CSD locus to a 2 kbp region in the genome of the red mason bee Osmia bicornis. It overlaps the long noncoding RNA ANTSR, which has been identified as the sex-determining gene in the invasive ant Linepithema humile. This locus is homozygous in diploid males and exhibits extremely high levels of haplotype diversity, consistent with the action of frequency-dependent selection. The elevated levels of heterozygosity in the CSD locus enable us to fine-map potentially functional genetic variation within it. We also identify elevated levels of genetic diversity in the ortholog of the CSD locus in five other bee and ant genera, suggesting that it may govern sex determination widely in Hymenoptera. Our data are consistent with the hypothesis that ANTSR evolved a role in sex determination over 150 million years ago and is the ancestral sex-determination locus of bees and ants.

Animals↗

PubMed2025

A novel and robust feature selection method with FDR control for omics-wide association analysis.

Omics-wide association analysis is a very important tool for medicine and human health study. However, the modern omics data sets collected often exhibit the high-dimensionality, unknown distribution response, unknown distribution features and unknown complex association relationships between the response and its explanatory features. Reliable association analysis results depend on an accurate modeling for such data sets. Most of the existing association analysis methods rely on the specific model assumptions and lack effective false discovery rate (FDR) control. To address these limitations, the paper firstly applies a single index model for omics data. The model shows robust performance in allowing the relationships between the response variable and linear combination of covariates to be connected by any unknown monotonic link function, and both the random error and the covariates can follow any unknown distribution. Then based on this model, the paper combines rank-based approach and symmetrized data aggregation approach to develop a novel and robust feature selection method for achieving fine-mapping of risk features while controlling the false positive rate of selection. The theoretical results support the proposed method and the analysis results of simulated data show the new method possesses effective and robust performance for all the scenarios. The new method is also used to analyze the two real datasets and identifies some risk features unreported by the existing finds.

Humans↗

PubMed1993

The human insulin gene-linked polymorphic region adopts a G-quartet structure in chromatin assembled in vitro.

The insulin gene-linked polymorphic region (ILPR), located 363 bp upstream of the human insulin gene, is composed of tandem repeats of the consensus sequence ACAGGGGT(G/C)(T/C)GGGG. It has previously been shown that an insulin gene fragment containing the ILPR adopts an altered DNA structure in vitro. Furthermore, oligonucleotides containing the consensus repeat sequence exhibit multiple quadriplex DNA structures. The present study was undertaken to determine whether such altered DNA structures existed within the ILPR when the insulin gene was assembled into chromatin in vitro. Chromatin assembly was achieved using histones and an extract from unfertilized eggs from Xenopus laevis. The presence of altered DNA conformations within the 5' region of the human insulin gene was investigated using the structural probe nuclease P1. Nuclease P1 recognized multiple distinct sites in the 5' flanking region of the human insulin gene in naked DNA. Most of these sites disappeared when the recombinant plasmid DNA was treated with histones and unfertilized egg extract. In the assembled DNA, the ILPR appeared as the major site of nuclease P1 hypersensitivity. Fine-mapping of the multiple reactive sites within the ILPR showed a pattern characteristic of G-quartet foldback structures similar to those that have been observed for telomeric DNA.

Animals↗

PubMed2001

Mapping by genetic interaction: high-resolution congenic mapping of the type 1 diabetes loci Idd10 and Idd18 in the NOD mouse.

As many of the linked chromosome regions that predispose to type 1 diabetes in the NOD mouse have been dissected, it has become apparent that the initially observed effect is in fact attributable to several loci. One such cluster of loci on distal chromosome 3, originally described as Idd10, is now known to comprise three separate loci, Idd10, Idd17, and Idd18. Although these loci have a significant combined effect on diabetes development, their individual effects are barely detectable when diabetes is used as a read-out, which makes fine-mapping them by use of a conventional congenic approach impractical. In this study, we demonstrate that it is possible to map loci, with modest effects, to regions small enough for systematic gene identification by capitalizing on the fact that the combined loci provide more profound, measurable protection. We have mapped the Idd10 and Idd18 loci to 1.3- and 2.0-cM intervals, respectively, by holding the Idd3 allele constant. In addition, we have excluded Csf1 and Nras as candidates for both loci.

Animals↗

PubMed2026

Integrative cross-tissue transcriptome-wide association and metabolomic analysis reveals novel genetic risk loci for aortic aneurysm.

BACKGROUND: Aortic aneurysm (AA) is a life-threatening cardiovascular condition with a strong genetic component, however, its molecular mechanisms remain poorly understood. Although genome-wide association studies (GWAS) have identified numerous risk loci, most prior studies have investigated genetic and metabolic factors separately, leaving the causal pathways from genetic variants to disease largely unexplored. METHODS: We established an integrative framework combining cross-tissue transcriptome-wide association studies (TWAS) with metabolomic mediation analysis. First, we integrated GWAS data from FinnGen R12 with multi-tissue expression quantitative trait loci (eQTL) data from Genotype-Tissue Expression Project (GTEx) V8, then performed cross-tissue TWAS using the Unified Test for MOlecular SignaTures (UTMOST) and single-tissue validation with the Functional Summary-based Imputation (FUSION) to prioritize susceptibility genes. Second, we applied Mendelian randomization (MR), colocalization, and Fine-mapping Of CaUsal gene Sets (FOCUS) to assess causality and identify high-confidence genes. Third, we performed metabolite mediation analysis to uncover metabolic pathways linking genetic variants to disease risk. Finally, we validated key findings in mouse models of thoracic aortic aneurysm (TAA) and abdominal aortic aneurysm (AAA) using Quantitative Real-Time Reverse Transcription Polymerase Chain Reaction (RT-qPCR) and Western blotting. RESULTS: We identified multiple novel susceptibility genes for AA and its subtypes. Key genes included ADH family members (ADH1A, ADH1B, ADH4, ADH6) and ZNF827, which showed cross-subtype associations with strong colocalization evidence in vascular tissues. Metabolite mediation analysis revealed significant pathways involving N-acetylphenylalanine and methionine sulfoxide. Functional enrichment revealed distinct biological mechanisms: AA and AAA were primarily associated with metabolic pathways, whereas TAA-related genes were enriched in developmental and contractile processes. PheWAS indicated no significant off-target associations. Critically, experimental validation in mouse models confirmed significant upregulation of ZNF827 in TAA and ADH6 in AAA at both mRNA and protein levels, corroborating the genetic predictions. CONCLUSION: This integrated cross-omics analysis identifies novel genetic loci and, crucially, uncovers specific nutrient-related metabolic pathways that mediate genetic risk. These findings provide a mechanistic basis for future nutritional and metabolic intervention studies in AA and its subtypes.

MAGMA↗

PubMed2026

FM-GPT: Bayesian fine mapping for phenome-wide transcriptome-wide association studies.

Transcriptome-wide association studies (TWAS) integrate genome wide association studies with expression quantitative trait locus reference panels to identify genes associated with traits of interest. However, linkage disequilibrium and correlated gene expression can induce spurious TWAS signals, motivating fine mapping methods to prioritize putatively causal genes within associated loci. The rapid growth of large-scale phenomic resources (e.g. electronic health records (EHRs)) has shifted genetic studies from single-trait analyses to phenome-wide investigations that jointly evaluate many closely related phenotypes. We introduce FM-GPT (Fine-mapping of causal Genes for Phenome-wide Transcriptome-wide association studies), a novel Bayesian fine mapping method for prioritizing causal genes across multiple correlated phenotypes with potentially mixed outcome types (e.g., binary, count or continuous) in phenome-wide TWAS. FM-GPT performs gene-guided dimension reduction of the phenotypes and reveals pleiotropic or phenotype-specific effects of the identified genes. In simulations, FM-GPT identified true causal genes more accurately than other fine mapping methods while controlling false positives. We applied FM-GPT to two applications using data from UK Biobank: a brain-wide genetic analysis of MRI data derived regional cortical thickness measures and a phenome-wide genetic analysis of clinical phenotypes derived from EHR data. FM-GPT greatly narrowed down the set size of putatively causal genes and identified: 1. genes with pleiotropic effects on regional cortical thickness across the cerebral cortex, including five genes BCAS3, LRRC37A, NOS2P3, ARL17B and UBB on chromosome 17 regulating neuronal morphology and cortical organization; and 2. genes that influence multiple medical conditions across the circulatory, metabolic, digestive, respiratory and genitourinary systems, revealing two major axes of variation among these conditions that point to a potential trade-off in gene regulation between immune and metabolic functions. These results highlight FM-GPT's power to disentangle complex gene-phenotype relationships in large-scale phenome-wide studies, uncovering shared biological mechanisms across diverse human traits and advancing translational and comorbidity research.

Bayesian fine mapping↗

PubMed2026

Developmental patterning of adipose tissue by abd-A and Abd-B homeotic genes in Drosophila melanogaster.

The Bithorax Complex (BX-C) homeobox proteins specify segmental identities along the anterior-posterior axis during Drosophila embryogenesis. Differential expression of the BX-C genes abd-A and Abd-B distinguishes abdominal from thoracic adipocytes, yet the mechanism regulating this heterogeneity remains poorly understood. Here, we identify cis-regulatory elements (CREs) and transcription factors that direct abdominal-specific expression of abd-A and Abd-B in the larval fat body. Fine-mapping analyses identified a 627-bp CRE within the Abd-B locus and a ~6-kb CRE within the abd-A locus sufficient to drive heterogeneous expression. Yeast one-hybrid screening combined with functional analyses identified Lola, Lolal, and Combgap as key repressors of Abd-B, whereas Piragua (Prg) and Seven up (Svp) function as transcriptional activators, indicating that adipocyte heterogeneity in postembryonic adipose tissue is actively regulated. In turn, lola and prg are repressed by Abd-B, whereas lolal and svp are activated, forming a feedback circuit further modulated by Wnt signaling, which promotes lola and lolal expression while repressing svp. CUT&RUN analyses suggest that these interactions are direct, with dTCF/Pan and Abd-B occupancy detected at target loci. Together, our findings define a transcriptional circuit that regulates Abd-B gene transcription to pattern adipose tissue and may establish the developmental basis of fat depot specialization.

Abd-B↗

PubMed2026

Multimodal atlas of human atherosclerosis links granular vascular cell states to coronary artery disease risk.

Advances in single-cell and spatial assays have revolutionized the scale and resolution of molecular tissue profiling. Here we present MetaPlaq, a multimodal atlas of human atherosclerotic arterial beds comprising over a million cells across single-cell transcriptomics, epigenomics and high-resolution spatial expression assays. We map granular cell states and disease-relevant transcriptional programs within the native tissue context of coronary arteries. Furthermore, we map cardiovascular GWAS signals to smooth muscle cells (SMCs) and endothelial cells (ECs) and uncover the cis-regulatory architecture governing their phenotypic transitions. Our comprehensive epigenomic reference allowed us to build cell-specific enhancer-gene link maps and multimodal gene regulatory networks (GRNs) underlying disease-relevant states such as osteogenic SMCs and ECs undergoing mesenchymal transition. We also integrate SMC and EC disease-associated gene sets with GRNs to nominate key transcription factors such as PRRX1, BNC2 and ELK3 regulating atherosclerosis-relevant transcriptional programs. Finally, we layer single-cell and spatial modalities to fine-map GWAS variants with improved cell and anatomical context. We highlight candidate cell-specific regulatory mechanisms at less characterized CAD loci, including FGD5 and MCF2L in ECs. Together, this atlas represents an important step towards fully interpreting genetic risk loci and informing new therapeutic strategies for cardiovascular disease.

Journal Article↗

PubMed2026

Integrating multi-ancestry common and rare variant mapping accelerates therapeutic target discovery.

Integrating human genetics into therapeutic discovery accelerates drug development. However, ancestral biases in historical cohorts have left critical functional variation largely uncharted. Here, we leverage the diverse NIH All of Us Research Program to conduct comprehensive common- and rare-variant association analyses for 624 quantitative traits across 369,655 ancestrally diverse individuals. We identified 6,181 genome-wide significant locus-trait associations (526 novel) and 416 gene-trait associations (105 novel) via rare-variant burden testing. By integrating fine-mapping with computational variant-effect predictors, we systematically prioritized rare, likely causal variants driving these signals. Jointly modeling common and rare variation with protein-class annotations significantly improved the identification of known drug targets compared to common-variant analysis alone. Notably, we identified NRG4 as a high-confidence candidate therapeutic target for preserving kidney function. Our findings demonstrate that characterization of rare and common variation across diverse populations enhances causal gene discovery and identifies novel, actionable therapeutic targets.

Journal Article↗

PubMed1991

Development of a system for efficient chromosome walking in Arabidopsis.

The small genome size of Arabidopsis and the low level of repetitive DNA sequences make this crucifer an attractive system for chromosome walking to isolate genes. Mapping of a mutant locus relative to restriction fragment length polymorphism (RFLP) markers provides the first step towards isolating the corresponding gene. The RFLP marker closest to the target gene serves as a starting point. The distance between gene and marker is generally in the range of 50-200 kb. In order to facilitate chromosome walking of this magnitude, we constructed a yeast artificial chromosome (YAC) library of Arabidopsis. Large fragments of Arabidopsis DNA were cloned into a YAC vector and transformed into yeast. The library contains more than 10 equivalents of the Arabidopsis genome. YACs containing sequences of RFLP markers of Arabidopsis revealed an average insert size of 150 kb. Thus, 1-3 (contiguous) YACs should be sufficient to clone genes from Arabidopsis by chromosome walking. In order to use the system to isolate genes involved in the signal transduction of abscisic acid, we fine-mapped the mutant loci abi-1 and abi-2, which confer abscisic acid insensitivity, relative to RFLPs and isolated the corresponding YACs.

Abscisic Acid↗

PubMed1995

Humoral responses to linear epitopes on the HIV-1 envelope in seropositive volunteers after vaccine therapy with rgp160.

Humoral responses to the HIV-1 envelope were investigated in 30 human volunteers enrolled in a phase I vaccine therapy trial of rgp160 (LAI/LAV) using two techniques that emphasize detection of antibody response against linear (continuous) epitopes: immunoblotting and PEPSCAN. Seven fusion proteins containing large portions from constant regions 1, 2, 3, and 5, and variable region 3 of gp120 and two regions in the transmembrane protein, gp41, were employed in immunoblots to quantitatively measure immune response as a function of immunization. In addition, the entire gp160 (LAI/LAV) envelope protein was constructed in duplicate sets of 211 overlapping 12-mer peptides to fine-map the changes. Immunoblotting defined significant changes in reactivity to epitopes in constant regions; of 28 volunteers completing the trial, the percentage with reactivity against C1 changed from 62 to 100%; for C2, from 0 to 46%; for C3, from 0 to 82%; and for a constant region in gp41, from 25 to 68%. PEPSCAN on a subset (n = 8) of these volunteers identified new reactivity to epitopes throughout the envelope, concentrated in V1, C3, and C5 in gp120 and several peptides in gp41. Completely immunized patients responded to double the number of linear epitopes compared with two patients receiving alum alone. The results verify that the response to rgp160 is significantly broadened after immunization, providing additional evidence that HIV-1-infected volunteers can expand their antibody repertoire against a protein from a pathogen during chronic infection with that same pathogen. These results expand those previously obtained in this patient cohort, by defining explicitly the immunogenic regions recognized postvaccination and by providing methodology for quantitating those changes.

AIDS Vaccines↗

PubMed1993

Confirmation of chromosome 9p linkage in familial melanoma.

Malignant melanoma occurs as a familial cancer in 5%-10% of cases where it segregates in a manner consistent with autosomal dominant inheritance. Evidence from cytogenetics, fine-mapping studies of deletions in melanomas, and recent linkage studies supports the location of a human melanoma predisposition gene on the short arm of chromosome 9. We have carried out linkage analysis using the 9p markers IFNA and D9S126 in 26 Australian melanoma kindreds. Multipoint analysis gave a peak lod score of 4.43, 15 cM centromeric to D9S126, although a lod score of 4.13 was also found 15 cM telomeric of IFNA. These data confirm the existence of a melanoma susceptibility gene on 9p and indicate that this locus most probably lies outside of the IFNA-D9S126 interval. No significant heterogeneity was found between families, when either pairwise or multipoint data were analyzed using HOMOG.

Adult↗

PubMed1997

Loss of heterozygosity studies and deletion mapping identify two putative chromosome 14q tumor suppressor loci in renal oncocytomas.

Renal oncocytoma is considered to be a benign tumor that shares some phenotypic features with chromophobe renal cell carcinoma (RCC). Recently, we described high frequencies of allelic loss at 1p, 2p, 6p, 10p, 13q, 14q, 17p, and 21q, which correlate significantly with the chromophobe subtype of RCC. To investigate the genetic relationship between these two entities, we examined 12 oncocytomas for loss of heterozygosity (LOH) at these regions. In addition, we included markers for 3p, 5q, 7q, 11p, and 22q. The only chromosomal region showing similarly high frequencies of allelic loss for both subtypes was 14q. Therefore, a genetic relationship between renal oncocytoma and chromophobe RCC seems questionable. Eight of 12 oncocytomas (67%) showed LOH at 14q, a frequency that was significantly higher (P < 0.001, chi(2) test) than the frequencies of LOH in all other regions. To define regions potentially harboring novel tumor suppressor genes, we performed multifluorescence microsatellite analysis with 13 markers spanning 14q. Interstitial deletions at different regions of 14q were detected, with the highest frequencies at D14S258 (14q23-24.3) and D14S292 (14q32.1-32.2). 14q LOH might be associated with advanced-stage RCCs or other tumors, but it does not seem to indicate progression in oncocytomas. Its role in pathogenesis of renal oncocytomas remains to be clarified. Here, we provide evidence for two distinct tumor suppressor gene loci at 14q in renal oncocytoma, which will be useful for further fine-mapping studies of these critical regions.

Adenoma, Oxyphilic↗

PubMed1998

Missense mutations in SMOH in sporadic basal cell carcinomas of the skin and primitive neuroectodermal tumors of the central nervous system.

About one-third of sporadic basal cell carcinomas (BCCs) of the skin and 10-15% of primitive neuroectodermal tumors (PNETs) of the central nervous system show mutations in the PTCH tumor suppressor gene. The PTCH gene product (Ptch) functions as a transmembrane receptor for the Sonic hedgehog protein (Shh) and interacts with another transmembrane protein called Smoh. To further elucidate the significance of alterations in the Shh signaling pathway, we investigated 31 sporadic BCCs and 15 PNETs for the mutation and/or expression of SMOH, PTCH, SHH, and GL11. In addition, we fine-mapped the SMOH gene locus by fluorescence in situ hybridization to chromosomal band 7q32. Mutational analysis identified four BCCs with somatic missense mutations in SMOH affecting codon 535 (TGG==>TTG: Trp==>Leu) in three tumors and codon 199 (CGG==>TGG: Arg==>Trp) in one tumor. A missense mutation at codon 533 (AGC==>AAC: Ser==>Asn) was found in one PNET. PTCH mutations were detected in eight BCCs and one PNET. Two BCCs demonstrated mutations in both SMOH and PTCH. The majority of tumors showed an increased expression of SMOH, PTCH, and GL11 transcripts as compared with that of normal skin and nonneoplastic brain tissue, respectively. In contrast, only one BCC and one PNET expressed SHH mRNA at levels detectable by reverse transcription-PCR, and no SHH gene mutations were found. In summary, our results indicate that both PTCH and SMOH represent important targets for genetic alterations in sporadic BCCs and PNETs.

Adolescent↗

PubMed1998

A widely expressed transcription factor with multiple DNA sequence specificity, CTCF, is localized at chromosome segment 16q22.1 within one of the smallest regions of overlap for common deletions in breast and prostate cancers.

The cellular protooncogene MYC encodes a nuclear transcription factor that is involved in regulating important cellular functions, including cell cycle progression, differentiation, and apoptosis. Dysregulated MYC expression appears critical to the development of various types of malignancies, and thus factors involved in regulating MYC expression may also play a key role in the pathogenesis of certain cancers. We have cloned one such MYC regulatory factor, termed CTCF, which is a highly evolutionarily conserved-11-zinc finger transcriptional factor possessing multiple DNA sequence specificity. CTCF binds to a number of important regulatory regions within the 5' noncoding sequence of the human MYC oncogene, and it can regulate its transcription in several experimental systems. CTCF mRNA is expressed in cells of multiple different lineages. Enforced ectopic expression of CTCF inhibits cell growth in culture. Southern blot analyses and fluorescence in situ hybridization (FISH) with normal human metaphase chromosomes showed that the human CTCF is a single-copy gene situated at chromosome locus 16q22. Cytogenetic studies have pointed out that chromosome abnormalities (deletions) at this locus frequently occur in many different human malignancies, suggesting the presence of one or more tumor suppressor genes in the region. To narrow down their localization, several loss of heterozygosity (LOH) studies of chromosome arm 16q in sporadic breast and prostate cancers have been carried out to define the most recurrent and smallest region(s) of overlap (SRO) for commonly deleted chromosome arm 16q material. For CTCF to be considered as a candidate tumor suppressor gene associated with tumorigenesis, it should localize within one of the SROs at 16q. Fine-mapping of CTCF has enabled us to assign the CTCF gene to about a 2 centiMorgan (cM) interval of 16q22.1 between the somatic cell hybrid breakpoints CY130(D) and CY4, which is between markers D16S186 (16AC16-101) and D16S496 (AFM214zg5). This relatively small region, containing the CTCF gene, overlaps the most frequently observed SROs for common chromosomal deletions found in sporadic breast and prostate tumors. In one of four analyzed paired DNA samples from primary breast cancer patients, we have detected a tumor-specific rearrangement of CTCF exons encoding the 11-zinc-finger domain. Therefore, taken together with other CTCF properties, localization of CTCF to a narrow cancer-associated chromosome region suggests that CTCF is a novel candidate tumor suppressor gene at 16q22.1.

Breast Neoplasms↗