ABSTRACT
OBJECTIVE: The primary objective of this study was to identify novel genes that predispose people in the Japanese population to FPC. SUMMARY OF BACKGROUND DATA: Familial history of pancreatic cancer is an important risk factor but, to date, few genes predisposing individuals to increased risk of developing FPC have been identified. METHODS: We performed whole-exome sequencing of germline DNA from 81 Japanese FPC patients. We also investigated somatic gene alterations in 21 matched tumor tissues through whole-exome sequencing and copy number analysis. RESULTS: Our germline variants identified previously known FPC susceptibility genes such as ATM and BRCA2, and several novel tumor suppressor genes with potentially deleterious variants for FPC. Interestingly, somatic whole-exome analysis demonstrated that most tumor samples with suspicious loss of heterozygosity of candidate genes were KRAS wild-types, implying that these cases may not have required KRAS activation as a driver event for carcinogenesis. CONCLUSIONS: Our findings indicate that FPC patients harbor potentially deleterious causative germline variants in tumor suppressor genes, which are known to acquire somatic mutations in pancreatic cancer, and that somatic loss of heterozygosity of some FPC susceptibility genes may contribute to the development of FPC in the absence of somatic KRAS-activating mutation. Genetic testing for a wider variety of FPC-predisposition genes could provide better screening approach for high-risk groups of pancreatic cancer.
Subject(s)
Germ-Line Mutation , Pancreatic Neoplasms , Carcinoma , Genetic Predisposition to Disease , Humans , Japan , Pancreatic Neoplasms/epidemiology , Pancreatic Neoplasms/genetics , Proto-Oncogene Proteins p21(ras)/genetics , Exome Sequencing , Pancreatic NeoplasmsABSTRACT
The present study was conducted to clarify the cooperative significance of epigenomic and genomic abnormalities during gastric carcinogenesis. Using 21 samples of normal control gastric mucosa (C), 109 samples of non-cancerous gastric mucosa (N) and 105 samples of cancerous tissue (T) from 109 patients with primary gastric adenocarcinomas, genome-wide DNA methylation analysis was performed using Infinium assay. Among these samples, 66 paired N and corresponding T samples were subjected to whole-exome and single nucleotide polymorphism array analyses. As had been shown in our previous study, 109 patients were clustered clinicopathologically into least aggressive Cluster A (n = 20), most aggressive Cluster B1 (n = 20) and Cluster B2 (n = 69). Most DNA methylation alterations in each cluster had already occurred even in N samples compared with C samples, and DNA methylation alterations at the precancerous N stage were inherited by the established cancers themselves. Recurrent single nucleotide variants and insertions/deletions resulting in functional disruption of the proteins encoded by the ABCA10, BNC2, CDH1, CTNNB1, SMAD4 and VAV2 genes were specific to Cluster B1, whereas those of the APC, EGFR, ERBB2, ERBB3, MLH1 and MUC6 genes were specific to Cluster A. MetaCore pathway analysis revealed that the epigenomically affected TWIST1 gene and genomically affected CDH1, CTNNB1, MMP9, TLN2, ROCK1 and SMAD4 genes were accumulated in signaling pathways related to cell adhesion, cytoskeleton remodeling and epithelial-mesenchymal transition in Cluster B1. These data indicate that epigenomic alterations at the precancerous stage are important in gastric carcinogenesis and that epigenomic and genomic alterations cooperatively underlie the aggressiveness of gastric adenocarcinomas.
Subject(s)
Adenocarcinoma/pathology , Biomarkers, Tumor/metabolism , Cell Adhesion , Epigenomics/methods , Epithelial-Mesenchymal Transition , Polymorphism, Single Nucleotide , Stomach Neoplasms/pathology , Adenocarcinoma/genetics , Adenocarcinoma/metabolism , Adult , Aged , Aged, 80 and over , Biomarkers, Tumor/genetics , Case-Control Studies , DNA Methylation , Epigenesis, Genetic , Female , Follow-Up Studies , Gene Expression Regulation, Neoplastic , Humans , Male , Middle Aged , Prognosis , Stomach Neoplasms/genetics , Stomach Neoplasms/metabolism , Exome SequencingABSTRACT
PURPOSE: Usual interstitial pneumonia (UIP) is a risk factor for lung carcinogenesis. This study was performed to characterize mutagenesis and mutational target genes underlying lung carcinogenesis in patients with UIP. PATIENTS AND METHODS: A cohort of 691 Japanese patients with lung adenocarcinoma (LADC), of whom 54 had UIP and 637 did not, was studied for driver oncogene aberrations. Whole-exome analysis was performed for 296 cases, including 51 with UIP, to deduce mutagenic processes and identify commonly affected genes. Logistic regression analysis was used to detect associations of gene aberrations with clinicopathological factors. RESULTS: The EGFR mutation was markedly less prevalent in patients with LADC with UIP than in those without (1.9% [one of 54] v. 49.9% [318 of 637]; P < .001), even in heavy smokers (25.3% [38 of 150] of patients with > 40 pack-years; P < .001). Mutational signature analysis indicated that UIP-positive LADCs develop through accumulation of single-nucleotide and indel mutations caused by smoking. Pulmonary surfactant system genes (PSSGs) NKX2-1/TTF1, SFTPA1, SFTPA2, SFTPB, and SFTPC were identified as targets for mutations (preferentially indels), and mutations were specifically associated with shorter overall survival of patients with UIP-positive LADC, independent of pathologic stage (hazard ratio, 4.9; 95% CI, 1.7 to 14.4; P = .0037). CONCLUSION: LADCs with UIP develop through mutational events caused by smoking, independently of EGFR mutation. PSSGs were identified as a mutational target and as a novel prognostic factor in UIP-positive LADC. PSSG deficiency might increase the malignancy of tumor cells by increasing the tumor-promoting effects of UIP.
ABSTRACT
CpG-island methylator phenotype (CIMP)-positive clear cell renal cell carcinomas (RCCs) are characterized by accumulation of DNA hypermethylation of CpG islands, clinicopathological aggressiveness and poor patient outcome. The aim of this study was to clarify the molecular pathways participating in CIMP-positive renal carcinogenesis. Genome (whole-exome and copy number), transcriptome and proteome (two-dimensional image converted analysis of liquid chromatography-mass spectrometry) analyses were performed using tissue specimens of 87 CIMP-negative and 14 CIMP-positive clear cell RCCs and corresponding specimens of non-cancerous renal cortex. Genes encoding microtubule-associated proteins, such as DNAH2, DNAH5, DNAH10, RP1 and HAUS8, showed a 10% or higher incidence of genetic aberrations (non-synonymous single-nucleotide mutations and insertions/deletions) in CIMP-positive RCCs, whereas CIMP-negative RCCs lacked distinct genetic characteristics. MetaCore pathway analysis of CIMP-positive RCCs revealed that alterations of mRNA or protein expression were significantly accumulated in six pathways, all participating in the spindle checkpoint, including the "The metaphase checkpoint (p = 1.427 × 10(-6))," "Role of Anaphase Promoting Complex in cell cycle regulation (p = 7.444 × 10(-6))" and "Spindle assembly and chromosome separation (p = 9.260 × 10(-6))" pathways. Quantitative RT-PCR analysis revealed that mRNA expression levels for genes included in such pathways, i.e., AURKA, AURKB, BIRC5, BUB1, CDC20, NEK2 and SPC25, were significantly higher in CIMP-positive than in CIMP-negative RCCs. All CIMP-positive RCCs showed overexpression of Aurora kinases, AURKA and AURKB, and this overexpression was mainly attributable to increased copy number. These data suggest that abnormalities of the spindle checkpoint pathway participate in CIMP-positive renal carcinogenesis, and that AURKA and AURKB may be potential therapeutic targets in more aggressive CIMP-positive RCCs.
Subject(s)
Carcinoma, Renal Cell/genetics , Carcinoma, Renal Cell/pathology , CpG Islands/genetics , DNA Methylation/genetics , Kidney Neoplasms/genetics , Kidney Neoplasms/pathology , M Phase Cell Cycle Checkpoints/genetics , Aged , Aurora Kinases/genetics , Carcinogenesis/genetics , Carcinogenesis/pathology , Chromosome Aberrations , Female , Gene Dosage/genetics , Humans , Male , Microtubule-Associated Proteins/genetics , Middle Aged , Phenotype , Proteome/genetics , Transcriptome/geneticsABSTRACT
This report delivers a comprehensive genetic alteration profile of lung adenocarcinomas (LADC) driven by ALK, RET, and ROS1 oncogene fusions. These tumors are difficult to study because of their rarity. Each drives only a low percentage of LADCs. Whole-exome sequencing and copy-number variation analyses were performed on a Japanese LADC cohort (n = 200) enriched in patients with fusions (n = 31, 15.5%), followed by deep resequencing for validation. The driver fusion cases showed a distinct profile with smaller numbers of nonsynonymous mutations in cancer-related genes or truncating mutations in SWI/SNF chromatin remodeling complex genes than in other LADCs (P < 0.0001). This lower mutation rate was independent of age, gender, smoking status, pathologic stage, and tumor differentiation (P < 0.0001) and was validated in nine fusion-positive cases from a U.S. LADCs cohort (n = 230). In conclusion, our findings indicate that LADCs with ALK, RET, and ROS1 fusions develop exclusively via their dependence on these oncogene fusions. The presence of such few alterations beyond the fusions supports the use of monotherapy with tyrosine kinase inhibitors targeting the fusion products in fusion-positive LADCs.
Subject(s)
Adenocarcinoma/genetics , Lung Neoplasms/genetics , Oncogene Fusion/genetics , Protein-Tyrosine Kinases/genetics , Proto-Oncogene Proteins c-ret/genetics , Proto-Oncogene Proteins/genetics , Receptor Protein-Tyrosine Kinases/genetics , Adenocarcinoma/pathology , Adenocarcinoma of Lung , Adult , Aged , Aged, 80 and over , Anaplastic Lymphoma Kinase , DNA Copy Number Variations/genetics , Exome , Female , Humans , Lung Neoplasms/pathology , Male , Middle Aged , Mutation , Sequence Analysis, DNAABSTRACT
The aim of this study was to clarify the participation of expression of chimeric transcripts in renal carcinogenesis. Whole transcriptome analysis (RNA sequencing) and exploration of candidate chimeric transcripts using the deFuse program were performed on 68 specimens of cancerous tissue (T) and 11 specimens of non-cancerous renal cortex tissue (N) obtained from 68 patients with clear cell renal cell carcinomas (RCCs) in an initial cohort. As positive controls, two RCCs associated with Xp11.2 translocation were analyzed. After verification by reverse transcription (RT)-PCR and Sanger sequencing, 26 novel chimeric transcripts were identified in 17 (25%) of the 68 clear cell RCCs. Genomic breakpoints were determined in five of the chimeric transcripts. Quantitative RT-PCR analysis revealed that the mRNA expression levels for the MMACHC, PTER, EPC2, ATXN7, FHIT, KIFAP3, CPEB1, MINPP1, TEX264, FAM107A, UPF3A, CDC16, MCCC1, CPSF3, and ASAP2 genes, being partner genes involved in the chimeric transcripts in the initial cohort, were significantly reduced in 26 T samples relative to the corresponding 26 N samples in the second cohort. Moreover, the mRNA expression levels for the above partner genes in T samples were significantly correlated with tumor aggressiveness and poorer patient outcome, indicating that reduced expression of these genes may participate in malignant progression of RCCs. As is the case when their levels of expression are reduced, these partner genes also may not fully function when involved in chimeric transcripts. These data suggest that generation of chimeric transcripts may participate in renal carcinogenesis by inducing dysfunction of tumor-related genes.
Subject(s)
Carcinoma, Renal Cell/metabolism , Gene Expression Profiling , Kidney Neoplasms/metabolism , Oncogene Proteins, Fusion/metabolism , RNA, Messenger/metabolism , Adult , Aged , Aged, 80 and over , Carcinoma, Renal Cell/genetics , Carcinoma, Renal Cell/pathology , Cohort Studies , Female , Gene Fusion , Humans , Kidney Neoplasms/genetics , Kidney Neoplasms/pathology , Male , Middle Aged , Oncogene Proteins, Fusion/geneticsABSTRACT
The aim of this study was to identify pathways that have a significant impact during renal carcinogenesis. Sixty-seven paired samples of both noncancerous renal cortex tissue and cancerous tissue from patients with clear cell renal cell carcinomas (RCCs) were subjected to whole-exome, methylome and transcriptome analyses using Agilent SureSelect All Exon capture followed by sequencing on an Illumina HiSeq 2000 platform, Illumina Infinium HumanMethylation27 BeadArray and Agilent SurePrint Human Gene Expression microarray, respectively. Sanger sequencing and quantitative reverse transcription-PCR were performed for technical verification. MetaCore software was used for pathway analysis. Somatic nonsynonymous single-nucleotide mutations, insertions/deletions and intragenic breaks of 2,153, 359 and 8 genes were detected, respectively. Mutations of GCN1L1, MED12 and CCNC, which are members of CDK8 mediator complex directly regulating ß-catenin-driven transcription, were identified in 16% of the RCCs. Mutations of MACF1, which functions in the Wnt/ß-catenin signaling pathway, were identified in 4% of the RCCs. A combination of methylome and transcriptome analyses further highlighted the significant role of the Wnt/ß-catenin signaling pathway in renal carcinogenesis. Genetic aberrations and reduced expression of ERC2 and ABCA13 were frequent in RCCs, and MTOR mutations were identified as one of the major disrupters of cell signaling during renal carcinogenesis. Our results confirm that multilayer-omics analysis can be a powerful tool for revealing pathways that play a significant role in carcinogenesis.
Subject(s)
Carcinoma, Renal Cell/genetics , DNA Methylation , Exome , Kidney Neoplasms/genetics , Gene Expression Regulation, Neoplastic , Humans , Polymorphism, Single Nucleotide , RNA, Messenger/biosynthesis , RNA, Messenger/genetics , TranscriptomeABSTRACT
To clarify the significance of DNA methylation alterations during renal carcinogenesis, methylome analysis using single-CpG-resolution Infinium array was performed on 29 normal renal cortex tissue (C) samples, 107 non-cancerous renal cortex tissue (N) samples obtained from patients with clear cell renal cell carcinomas (RCCs) and 109 tumorous tissue (T) samples. DNA methylation levels at 4830 CpG sites were already altered in N samples compared with C samples. Unsupervised hierarchical clustering analysis based on DNA methylation levels at the 801 CpG sites, where DNA methylation alterations had occurred in N samples and were inherited by and strengthened in T samples, clustered clear cell RCCs into Cluster A (n = 90) and Cluster B (n = 14). Clinicopathologically aggressive tumors were accumulated in Cluster B, and the cancer-free and overall survival rates of patients in this cluster were significantly lower than those of patients in Cluster A. Clear cell RCCs in Cluster B were characterized by accumulation of DNA hypermethylation on CpG islands and considered to be CpG island methylator phenotype (CIMP)-positive cancers. DNA hypermethylation of the CpG sites on the FAM150A, GRM6, ZNF540, ZFP42, ZNF154, RIMS4, PCDHAC1, KHDRBS2, ASCL2, KCNQ1, PRAC, WNT3A, TRH, FAM78A, ZNF671, SLC13A5 and NKX6-2 genes became hallmarks of CIMP in RCCs. On the other hand, Cluster A was characterized by genome-wide DNA hypomethylation. These data indicated that DNA methylation alterations at precancerous stages may determine tumor aggressiveness and patient outcome. Accumulation of DNA hypermethylation on CpG islands and genome-wide DNA hypomethylation may each underlie distinct pathways of renal carcinogenesis.
Subject(s)
Carcinoma, Renal Cell/metabolism , CpG Islands , DNA Methylation , Kidney Neoplasms/metabolism , Adult , Aged , Aged, 80 and over , Female , Humans , Male , Middle Aged , PhenotypeABSTRACT
We identified in-frame fusion transcripts of KIF5B (the kinesin family 5B gene) and the RET oncogene, which are present in 1-2% of lung adenocarcinomas (LADCs) from people from Japan and the United States, using whole-transcriptome sequencing. The KIF5B-RET fusion leads to aberrant activation of RET kinase and is considered to be a new driver mutation of LADC because it segregates from mutations or fusions in EGFR, KRAS, HER2 and ALK, and a RET tyrosine kinase inhibitor, vandetanib, suppresses the fusion-induced anchorage-independent growth activity of NIH3T3 cells.
Subject(s)
Adenocarcinoma/genetics , Kinesins/genetics , Lung Neoplasms/genetics , Oncogene Proteins, Fusion/genetics , Proto-Oncogene Proteins c-ret/genetics , Adenocarcinoma/pathology , Adenocarcinoma of Lung , Anaplastic Lymphoma Kinase , Animals , Cell Transformation, Neoplastic/drug effects , ErbB Receptors/genetics , Gene Expression Regulation, Neoplastic , High-Throughput Nucleotide Sequencing , Humans , Japan , Lung Neoplasms/pathology , Mice , NIH 3T3 Cells , Norway , Piperidines/pharmacology , Proto-Oncogene Proteins/genetics , Proto-Oncogene Proteins c-ret/antagonists & inhibitors , Proto-Oncogene Proteins p21(ras) , Quinazolines/pharmacology , Receptor Protein-Tyrosine Kinases/genetics , Receptor, ErbB-2/genetics , United States , ras Proteins/geneticsABSTRACT
BACKGROUND & AIMS: Two major types of gastric cancer, intestinal and diffuse, develop through distinct mechanisms; the diffuse type is considered to be more influenced by genetic factors, although the mechanism is unknown. Our previous genome-wide association study associated 3 single nucleotide polymorphisms (SNPs) with diffuse-type gastric cancer (DGC); 1 was a functional SNP (rs2294008) in prostate stem cell antigen (PSCA), but the loci of the other 2 were not investigated. METHODS: We performed high-density mapping to explore a linkage disequilibrium status of the 2 SNPs at chromosome 1q22. A DGC case-control study was conducted using DNA from 606 cases and 1264 controls (all Japanese individuals) and validated using DNA from Japanese (304 cases, 1465 controls) and Korean (452 cases, 372 controls) individuals. The effects of SNPs on function were analyzed by reporter assays and analyses of splice variants. RESULTS: A region of a strong linkage disequilibrium with the 2 SNPs contained mucin 1 (MUC1) and other 4 genes and SNPs significantly associated with DGC (rs2070803: P = 4.33 × 10(-13); odds ratio [OR], 1.71 by meta-analysis of the studies on the 3 panels) but not with intestinal-type gastric cancer. Functional studies demonstrated that rs4072037 (P = 1.43 × 10(-11); OR, 1.66 by meta-analysis) in MUC1 affects promoter activity and determines the major splicing variants of MUC1 in the gastric epithelium. Individuals that carry both SNPs rs2294008 in PSCA and rs4072037 in MUC1 have a high risk for developing DGC (OR, 8.38). CONCLUSIONS: MUC1 is the second major DGC susceptibility gene identified. The SNPs rs2070803 and rs4072037 in MUC1 might be used to identify individuals at risk for this type of gastric cancer.
Subject(s)
Chromosomes, Human, Pair 1 , Mucin-1/genetics , Polymorphism, Single Nucleotide , Stomach Neoplasms/genetics , Asian People/genetics , Case-Control Studies , Cell Line, Tumor , Exons , Female , Genetic Predisposition to Disease , Genome-Wide Association Study , Haplotypes , Humans , Japan/epidemiology , Linkage Disequilibrium , Logistic Models , Male , Middle Aged , Mucin-1/metabolism , Odds Ratio , Phenotype , Promoter Regions, Genetic , Republic of Korea/epidemiology , Risk Assessment , Risk Factors , Stomach Neoplasms/ethnology , Stomach Neoplasms/pathology , TransfectionABSTRACT
Pancreatic cancer shows very poor prognosis and is the fifth leading cause of cancer death in Japan. Previous studies indicated some genetic factors contributing to the development and progression of pancreatic cancer; however, there are limited reports for common genetic variants to be associated with this disease, especially in the Asian population. We have conducted a genome-wide association study (GWAS) using 991 invasive pancreatic ductal adenocarcinoma cases and 5,209 controls, and identified three loci showing significant association (P-value<5x10(-7)) with susceptibility to pancreatic cancer. The SNPs that showed significant association carried estimated odds ratios of 1.29, 1.32, and 3.73 with 95% confidence intervals of 1.17-1.43, 1.19-1.47, and 2.24-6.21; P-value of 3.30x10(-7), 3.30x10(-7), and 4.41x10(-7); located on chromosomes 6p25.3, 12p11.21 and 7q36.2, respectively. These associated SNPs are located within linkage disequilibrium blocks containing genes that have been implicated some roles in the oncogenesis of pancreatic cancer.
Subject(s)
Genome-Wide Association Study , Pancreatic Neoplasms/genetics , Asian People/genetics , Genetic Predisposition to Disease/genetics , Genotype , Humans , Linkage Disequilibrium , Male , Polymorphism, Single Nucleotide/geneticsABSTRACT
Mammalian transcriptome analysis has uncovered tens of thousands of novel transcripts of unknown function (TUFs). Classical and recent examples suggest that the majority of TUFs may underlie vital intracellular functions as non-coding RNAs because of their low coding potentials. However, only a portion of TUFs have been studied to date, and the functional significance of TUFs remains mostly uncharacterized. To increase the repertoire of functional TUFs, we screened for TUFs whose expression is controlled during differentiation of pluripotent human mesenchymal stem cells (hMSCs). The resulting six TUFs, named transcripts related to hMSC differentiation (TMDs), displayed distinct transcriptional kinetics during hMSC adipogenesis and/or osteogenesis. Structural and comparative genomic characterization suggested a wide variety of biologically active structures of these TMDs, including a long nuclear non-coding RNA, a microRNA host gene and a novel small protein gene. Moreover, the transcriptional response to established pathway activators indicated that most of these TMDs were transcriptionally regulated by each of the two key pathways for hMSC differentiation: the Wnt and protein kinase A (PKA) signaling pathways. The present study suggests that not only TMDs but also other human TUFs may in general participate in vital cellular functions with different molecular mechanisms.
Subject(s)
Cell Differentiation/genetics , Mesenchymal Stem Cells/metabolism , RNA, Untranslated/biosynthesis , Signal Transduction , Adipogenesis/genetics , Adult , Base Sequence , Cells, Cultured , Female , Humans , Male , Mesenchymal Stem Cells/cytology , MicroRNAs/genetics , Molecular Sequence Data , Osteogenesis/genetics , Proteins/genetics , RNA, Untranslated/genetics , RNA, Untranslated/physiologyABSTRACT
Gastric cancer is classified into intestinal and diffuse types, the latter including a highly malignant form, linitis plastica. A two-stage genome-wide association study (stage 1: 85,576 SNPs on 188 cases and 752 references; stage 2: 2,753 SNPs on 749 cases and 750 controls) in Japan identified a significant association between an intronic SNP (rs2976392) in PSCA (prostate stem cell antigen) and diffuse-type gastric cancer (allele-specific odds ratio (OR) = 1.62, 95% CI = 1.38-1.89, P = 1.11 x 10(-9)). The association was far less significant in intestinal-type gastric cancer. We found that PSCA is expressed in differentiating gastric epithelial cells, has a cell-proliferation inhibition activity in vitro and is frequently silenced in gastric cancer. Substitution of the C allele with the risk allele T at a SNP in the first exon (rs2294008, which has r(2) = 0.995, D' = 0.999 with rs2976392) reduces transcriptional activity of an upstream fragment of the gene. The same risk allele was also significantly associated with diffuse-type gastric cancer in 457 cases and 390 controls in Korea (allele-specific OR = 1.90, 95% CI = 1.56-2.33, P = 8.01 x 10(-11)). The polymorphism of the PSCA gene, which is possibly involved in regulating gastric epithelial-cell proliferation, influences susceptibility to diffuse-type gastric cancer.
Subject(s)
Genetic Predisposition to Disease , Genetic Variation , Genome, Human/genetics , Membrane Glycoproteins/genetics , Neoplasm Proteins/genetics , Polymorphism, Single Nucleotide/genetics , Stomach Neoplasms/genetics , Adenocarcinoma/genetics , Adenocarcinoma/pathology , Adenocarcinoma, Mucinous/genetics , Adenocarcinoma, Mucinous/pathology , Animals , Antigens, Neoplasm , CHO Cells , Carcinoma, Papillary/genetics , Carcinoma, Papillary/pathology , Carcinoma, Signet Ring Cell/genetics , Carcinoma, Signet Ring Cell/pathology , Case-Control Studies , Cell Proliferation , Cricetinae , Cricetulus , Epithelium , Exons/genetics , GPI-Linked Proteins , Gene Frequency , Haplotypes/genetics , Humans , Immunoenzyme Techniques , Intestinal Neoplasms , Japan , Korea , Linkage Disequilibrium , Membrane Glycoproteins/metabolism , Mice , Neoplasm Proteins/metabolism , Odds Ratio , Promoter Regions, Genetic , RNA, Messenger/genetics , RNA, Messenger/metabolism , Reverse Transcriptase Polymerase Chain Reaction , Stomach Neoplasms/pathology , Transcription, GeneticABSTRACT
A major goal of current human genome-wide studies is to identify the genetic basis of complex disorders. However, the availability of an unbiased, reliable, cost efficient and comprehensive methodology to analyze the entire genome for complex disease association is still largely lacking or problematic. Therefore, we have developed a practical and efficient strategy for whole genome association studies of complex diseases by charting the human genome at 100 kb intervals using a collection of 27,039 microsatellites and the DNA pooling method in three successive genomic screens of independent case-control populations. The final step in our methodology consists of fine mapping of the candidate susceptible DNA regions by single nucleotide polymorphisms (SNPs) analysis. This approach was validated upon application to rheumatoid arthritis, a destructive joint disease affecting up to 1% of the population. A total of 47 candidate regions were identified. The top seven loci, withstanding the most stringent statistical tests, were dissected down to individual genes and/or SNPs on four chromosomes, including the previously known 6p21.3-encoded Major Histocompatibility Complex gene, HLA-DRB1. Hence, microsatellite-based genome-wide association analysis complemented by end stage SNP typing provides a new tool for genetic dissection of multifactorial pathologies including common diseases.
Subject(s)
Arthritis, Rheumatoid/genetics , Genetic Predisposition to Disease/genetics , Genome, Human , Microsatellite Repeats/genetics , Polymorphism, Single Nucleotide/genetics , Case-Control Studies , Chromosome Mapping , DNA/genetics , Female , Genetic Linkage , Genotype , Humans , Major Histocompatibility Complex/genetics , Male , Middle AgedABSTRACT
Inference of haplotypes is important for many genetic approaches, including the process of assigning a phenotype to a genetic region. Usually, the population frequencies of haplotypes, as well as the diplotype configuration of each subject, are estimated from a set of genotypes of the subjects in a sample from the population. We have developed an algorithm to infer haplotype frequencies and the combination of haplotype copies in each pool by using pooled DNA data. The input data are the genotypes in pooled DNA samples, each of which contains the quantitative genotype data from one to six subjects. The algorithm infers by the maximum-likelihood method both frequencies of the haplotypes in the population and the combination of haplotype copies in each pool by an expectation-maximization algorithm. The algorithm was implemented in the computer program LDPooled. We also used the bootstrap method to calculate the standard errors of the estimated haplotype frequencies. Using this program, we analyzed the published genotype data for the SAA (n=156), MTHFR (n=80), and NAT2 (n=116) genes, as well as the smoothelin gene (n=102). Our study has shown that the frequencies of major (frequency >0.1 in a population) haplotypes can be inferred rather accurately from the pooled DNA data by the maximum-likelihood method, although with some limitations. The estimated D and D' values had large variations except when the /D/ values were >0.1. The estimated linkage-disequilibrium measure rho2 for 36 linked loci of the smoothelin gene when one- and two-subject pool protocols were used suggested that the gross pattern of the distribution of the measure can be reproduced using the two-subject pool data.