1
|
The Rat Genome Database (RGD) facilitates genomic and phenotypic data integration across multiple species for biomedical research. Mamm Genome 2021; 33:66-80. [PMID: 34741192 PMCID: PMC8570235 DOI: 10.1007/s00335-021-09932-x] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2021] [Accepted: 10/21/2021] [Indexed: 01/21/2023]
Abstract
Model organism research is essential for discovering the mechanisms of human diseases by defining biologically meaningful gene to disease relationships. The Rat Genome Database (RGD, ( https://rgd.mcw.edu )) is a cross-species knowledgebase and the premier online resource for rat genetic and physiologic data. This rich resource is enhanced by the inclusion and integration of comparative data for human and mouse, as well as other human disease models including chinchilla, dog, bonobo, pig, 13-lined ground squirrel, green monkey, and naked mole-rat. Functional information has been added to records via the assignment of annotations based on sequence similarity to human, rat, and mouse genes. RGD has also imported well-supported cross-species data from external resources. To enable use of these data, RGD has developed a robust infrastructure of standardized ontologies, data formats, and disease- and species-centric portals, complemented with a suite of innovative tools for discovery and analysis. Using examples of single-gene and polygenic human diseases, we illustrate how data from multiple species can help to identify or confirm a gene as involved in a disease and to identify model organisms that can be studied to understand the pathophysiology of a gene or pathway. The ultimate aim of this report is to demonstrate the utility of RGD not only as the core resource for the rat research community but also as a source of bioinformatic tools to support a wider audience, empowering the search for appropriate models for human afflictions.
Collapse
|
2
|
Screening of Living Kidney Donors for Genetic Diseases Using a Comprehensive Genetic Testing Strategy. Am J Transplant 2017; 17:401-410. [PMID: 27434427 PMCID: PMC5297870 DOI: 10.1111/ajt.13970] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2016] [Revised: 06/20/2016] [Accepted: 07/12/2016] [Indexed: 01/25/2023]
Abstract
Related living kidney donors (LKDs) are at higher risk of end-stage renal disease (ESRD) compared with unrelated LKDs. A genetic panel was developed to screen 115 genes associated with renal diseases. We used this panel to screen six negative controls, four transplant candidates with presumed genetic renal disease and six related LKDs. After removing common variants, pathogenicity was predicted using six algorithms to score genetic variants based on conservation and function. All variants were evaluated in the context of patient phenotype and clinical data. We identified causal variants in three of the four transplant candidates. Two patients with a family history of autosomal dominant polycystic kidney disease segregated variants in PKD1. These findings excluded genetic risk in three of four relatives accepted as potential LKDs. A third patient with an atypical history for Alport syndrome had a splice site mutation in COL4A5. This pathogenic variant was excluded in a sibling accepted as an LKD. In another patient with a strong family history of ESRD, a negative genetic screen combined with negative comparative genomic hybridization in the recipient facilitated counseling of the related donor. This genetic renal disease panel will allow rapid, efficient and cost-effective evaluation of related LKDs.
Collapse
|
3
|
Abstract
Congenic DRF.(f/f) rats are protected from type 1 diabetes (T1D) by 34 Mb of F344 DNA introgressed proximal to the gimap5 lymphopenia gene. To dissect the genetic factor(s) that confer protection from T1D in the DRF.(f/f) rat line, DRF.(f/f) rats were crossed to inbred BBDR or DR.(lyp/lyp) rats to generate congenic sublines that were genotyped and monitored for T1D, and positional candidate genes were sequenced. All (100%) DR.(lyp/lyp) rats developed T1D by 83 days of age. Reduction of the DRF.(f/f) F344 DNA fragment by 26 Mb (42.52-68.51 Mb) retained complete T1D protection. Further dissection revealed that a 2 Mb interval of F344 DNA (67.41-70.17 Mb) (region 1) resulted in 47% protection and significantly delayed onset (P < 0.001 compared with DR.(lyp/lyp)). Retaining <1 Mb of F344 DNA at the distal end (76.49-76.83 Mb) (region 2) resulted in 28% protection and also delayed onset (P < 0.001 compared with DR.(lyp/lyp)). Comparative analysis of diabetes frequency in the DRF.(f/f) congenic sublines further refined the RNO4 region 1 interval to approximately 670 kb and region 2 to the 340 kb proximal to gimap5. All congenic DRF.(f/f) sublines were prone to low-grade pancreatic mononuclear cell infiltration around ducts and vessels, but <20% of islets in nondiabetic rats showed islet infiltration. Coding sequence analysis revealed TCR Vbeta 8E, 12, and 13 as candidate genes in region 1 and znf467 and atp6v0e2 as candidate genes in region 2. Our results show that spontaneous T1D is controlled by at least two genetic loci 7 Mb apart on rat chromosome 4.
Collapse
|
4
|
Effects of chromosome 17 on features of the metabolic syndrome in the Lyon hypertensive rat. Physiol Genomics 2008; 33:212-7. [PMID: 18285521 DOI: 10.1152/physiolgenomics.00262.2007] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
The metabolic syndrome (involving obesity, hypertension, dyslipidemia, insulin resistance, and a proinflammatory/prethrombotic state) is a major risk factor for cardiovascular disease. Its incidence continues to rise, in part because of the epidemic increase in obesity. The Lyon hypertensive (LH) rat is a model for hypertension and several other features of the metabolic syndrome, having high body weight, plasma cholesterol, and triglycerides, increased insulin-to-glucose ratio, and salt-sensitive hypertension. Previous genetic studies in LH/Mav rats and a normotensive control (LN/Mav) identified quantitative trait loci (QTLs) on rat chromosome (RNO)17 for multiple features of the metabolic syndrome. To further evaluate the role of RNO17 in the LH rat, we generated a consomic strain (LH-17(BN)) by substituting LH RNO17 with that of the sequenced Brown Norway (BN/NHsdMcwi) rat. Male LH and BN rats and LH-17(BN) rats were characterized for blood pressure and metabolic and morphological parameters. Similar to the protective effect of LN alleles, the LH-17(BN) rat also showed decreased body weight, triglycerides, and blood pressure; however, there was no significant difference in cholesterol or insulin-to-glucose ratio. Therefore, the substitution of the LH chromosome 17 is sufficient to recapitulate some, but not all, of the traits previously mapped to this chromosome. This could be due to the lack of a susceptible LH genome background or due to the introgression of chromosome 17 from another strain. Regardless, this study provides a single-chromosome genetic model for further dissection of blood pressure and morphological and metabolic traits on this chromosome.
Collapse
|
5
|
Consomic rats for the identification of genes and pathways underlying cardiovascular disease. COLD SPRING HARBOR SYMPOSIA ON QUANTITATIVE BIOLOGY 2003; 67:309-15. [PMID: 12858554 DOI: 10.1101/sqb.2002.67.309] [Citation(s) in RCA: 16] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
|
6
|
Abstract
Animal models have been used primarily as surrogates for humans, having similar disease-based phenotypes. Genomic organization also tends to be conserved between species, leading to the generation of comparative genome maps. The emergence of radiation hybrid (RH) maps, coupled with the large numbers of available Expressed Sequence Tags (ESTs), has revolutionized the way comparative maps can be built. We used publicly available rat, mouse, and human data to identify genes and ESTs with interspecies sequence identity (homology), identified their UniGene relationships, and incorporated their RH map positions to build integrated comparative maps with >2100 homologous UniGenes mapped in more than one species (approximately 6% of all mammalian genes). The generation of these maps is iterative and labor intensive; therefore, we developed a series of computer tools (not described here) based on our algorithm that identifies anchors between species and produces printable and on-line clickable comparative maps that link to a wide variety of useful tools and databases. The maps were constructed using sequence-based comparisons, thus creating "hooks" for further sequence-based annotation of human, mouse, and rat sequences. Currently, this map enables investigators to link the physiology of the rat with the genetics of the mouse and the clinical significance of the human.
Collapse
|
7
|
The sensitivity of single-strand conformation polymorphism analysis for the detection of single base substitutions. Genomics 1993; 16:325-32. [PMID: 8314571 DOI: 10.1006/geno.1993.1193] [Citation(s) in RCA: 445] [Impact Index Per Article: 14.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/29/2023]
Abstract
Single-strand conformation polymorphism (SSCP) analysis has proven to be a simple and effective technique for the detection of single base substitutions. We have used SSCP to analyze 29 mouse globin mutations, 27 p53 mutations, and 8 rhodopsin mutations contained within different size PCR products. Our results indicate that the type of mutation (transition versus transversion) did not play a major role in determining whether a mutation was detected by SSCP analysis. The position of the base substitution was more important than the precise base substitution in determining whether a mutation was detected. We report that SSCP sensitivity varies dramatically with the size of the DNA fragment being analyzed. The optimal size fragment for sensitive base substitution detection by SSCP is approximately 150 bp. Our results illustrate the need to keep the size of the PCR fragment small when performing SSCP to detect mutations. Larger fragments can be analyzed when screening for polymorphisms when the need to detect every sequence variation is not as critical.
Collapse
|
8
|
Abstract
BACKGROUND Juvenile glaucoma is an uncommon form of open-angle glaucoma that is usually recognized during childhood or early adulthood and which often has a strong family history. METHODS The authors clinically characterized a large multigeneration family with autosomal-dominant, juvenile-onset, open-angle glaucoma. Linkage analysis with short tandem repeat polymorphisms was used to evaluate the Rieger's syndrome locus as the site of the disease-causing mutation. RESULTS Forty members of a family with a five-generation history of open-angle glaucoma were examined. Clinical data were available from an additional five individuals, three of whom were decreased. Older family members provided limited information about the visual history of five other deceased individuals in the first three generations. Fifty-nine people were at 50% risk of harboring the disease-causing mutation; and of these, 30 were affected with glaucoma by examination or by family history. All affected patients had an affected parent. The average age at diagnosis was 18 years (range, 8-30 years). Affected family members tended to be myopic but lacked other ocular or systemic abnormalities. The intraocular pressures (IOPs) of affected individuals were commonly more than 50 mmHg when they were first examined. Gonioscopy showed the angles to be open, with no abnormal pigmentation, iris processes, or embryonic tissue. Topical medications were initially effective in controlling IOP, but surgery was usually required for long-term pressure control. The Rieger's syndrome locus on chromosome 4q25 was excluded as the site of the disease-causing mutation. CONCLUSION Juvenile open-angle glaucoma can occur as an autosomal dominant trait with high penetrance. Genetic linkage analysis of the family reported here has the potential to identify the chromosomal location of a glaucoma-causing gene. This gene is genetically distinct from the chromosome 4 locus that was recently associated with Rieger's syndrome.
Collapse
|
9
|
Abstract
p53 is a tumor suppressor gene located on 17p, a region of the human genome frequently deleted in tumors. Mutation of the p53 gene is an important step leading to development of many forms of human cancer. To simplify the analysis of tumors for p53 point mutations, we describe a GC-clamped denaturing gradient gel assay for detecting single-base substitutions within highly conserved regions of the p53 gene. This assay allows for efficient screening of tumors for single-base substitutions within the p53 gene and can be used to facilitate sequence analysis of p53 point mutations.
Collapse
|
10
|
Abstract
Rieger syndrome is an autosomal dominant disorder of morphogenesis in which previous cytogenetic arrangements have suggested chromosome 4 as a candidate chromosome. Using a group of highly polymorphic short tandem repeat polymorphisms (STRP), including a new tetranucleotide repeat for epidermal growth factor (EGF), significant linkage of Rieger syndrome to 4q markers has been identified. Tight linkage to EGF supports its role as a candidate gene, although a recombinant in an unaffected individual has been identified. This study demonstrates the utility of using polymorphic STRP markers when only a limited number of small families are available for study.
Collapse
|
11
|
Abstract
Thirteen moderately to highly informative microsatellite DNA polymorphisms based on (dC-dA)n.(dG-dT)n repeats were mapped to segments of human chromosome 5 using both linkage analysis and a panel of somatic cell hybrids which contained rearranged chromosomes. The markers were distributed throughout most of the length of the chromosome from the regions p15.3-p15.1 to q33.3-qter. Maps of the sites of meiotic recombination within the reference families proved particularly useful for the purpose of integrating new polymorphisms into the existing linkage map.
Collapse
|
12
|
Linkage mapping of D21S171 to the distal long arm of human chromosome 21 using a polymorphic (AC)n dinucleotide repeat. Hum Genet 1991; 87:401-4. [PMID: 1879826 DOI: 10.1007/bf00197156] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
An (AC)n repeat within the anonymous DNA sequence D21S171 was shown to be highly polymorphic in members of the 40 Centre d'Etude du Polymorphisme Humaine (CEPH) families. Ten different alleles at this marker locus were detected by electrophoresis on polyacrylamide gels of DNA amplified by the polymerase chain reaction (PCR) using primers flanking the (AC)n repeat. The observed heterozygosity was 66%. PCR amplification of DNA from somatic cell hybrids mapped D21S171 to human chromosome 21, and linkage analysis localized this marker close to the loci CD18, PFKL, D21S113 and D21S112 in chromosomal band 21q22.3. In CEPH family 12 a de novo allele has been observed in a maternally derived chromosome.
Collapse
|
13
|
|
14
|
|
15
|
Dinucleotide repeat polymorphisms at the D17S250 and D17S261 loci. Nucleic Acids Res 1990; 18:4640. [PMID: 2388867 PMCID: PMC331336] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022] Open
|
16
|
Dinucleotide repeat polymorphism at the D15S87 locus. Nucleic Acids Res 1990; 18:4640. [PMID: 2388866 PMCID: PMC331335] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022] Open
|
17
|
Dinucleotide repeat polymorphism at the D14S34 locus. Nucleic Acids Res 1990. [DOI: 10.1093/nar/18.15.4638-a] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
|
18
|
Dinucleotide repeat polymorphism at the D12S43 locus. Nucleic Acids Res 1990. [DOI: 10.1093/nar/18.15.4637-a] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
|
19
|
Dinucleotide repeat polymorphism at the CRP locus. Nucleic Acids Res 1990. [DOI: 10.1093/nar/18.15.4635] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
|
20
|
Dinucleotide repeat polymorphisms at the D17S250 and D17S261 loci. Nucleic Acids Res 1990. [DOI: 10.1093/nar/18.15.4640-a] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
|
21
|
Dinucleotide repeat polymorphism at the CRP locus. Nucleic Acids Res 1990; 18:4635. [PMID: 2388856 PMCID: PMC331325] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022] Open
|
22
|
Dinucleotide repeat polymorphism at the D6S87 locus. Nucleic Acids Res 1990; 18:4636. [PMID: 2388859 PMCID: PMC331328] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022] Open
|
23
|
Dinucleotide repeat polymorphism at the D13S71 locus. Nucleic Acids Res 1990; 18:4638. [PMID: 2388862 PMCID: PMC331331] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022] Open
|
24
|
Dinucleotide repeat polymorphism at the D19S75 locus. Nucleic Acids Res 1990; 18:4639. [PMID: 2388864 PMCID: PMC331333] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022] Open
|
25
|
Dinucleotide repeat polymorphism at the D14S34 locus. Nucleic Acids Res 1990; 18:4638. [PMID: 2388863 PMCID: PMC331332] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022] Open
|
26
|
|
27
|
Dinucleotide repeat polymorphism at the D19S75 locus. Nucleic Acids Res 1990. [DOI: 10.1093/nar/18.15.4639] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
|
28
|
Dinucleotide repeat polymorphism at the D13S71 locus. Nucleic Acids Res 1990. [DOI: 10.1093/nar/18.15.4638] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
|
29
|
Dinucleotide repeat polymorphism at the D4S174 locus. Nucleic Acids Res 1990. [DOI: 10.1093/nar/18.15.4636] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
|
30
|
Dinucleotide repeat polymorphism at the D12S43 locus. Nucleic Acids Res 1990; 18:4637. [PMID: 2388861 PMCID: PMC331330] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022] Open
|
31
|
Dinucleotide repeat polymorphism at the D4S174 locus. Nucleic Acids Res 1990; 18:4636. [PMID: 2388858 PMCID: PMC331327] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022] Open
|
32
|
|
33
|
|
34
|
Dinucleotide repeat polymorphisms at the D5S107, D5S108, D5S111, D5S117 and D5S118 loci. Nucleic Acids Res 1990; 18:4035. [PMID: 1973837 PMCID: PMC331148 DOI: 10.1093/nar/18.13.4035] [Citation(s) in RCA: 26] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022] Open
|
35
|
Dinucleotide repeat polymorphisms at the D16S260, D16S261, D16S265, D16S266, and D16S267 loci. Nucleic Acids Res 1990; 18:4034. [PMID: 1973836 PMCID: PMC331147 DOI: 10.1093/nar/18.13.4034] [Citation(s) in RCA: 24] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022] Open
|
36
|
|
37
|
|
38
|
Dinucleotide repeat polymorphism at the D1S104 locus. Nucleic Acids Res 1990; 18:2835. [PMID: 1971099 PMCID: PMC330796] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022] Open
|
39
|
Dinucleotide repeat polymorphism at the D1S103 locus. Nucleic Acids Res 1990; 18:2199. [PMID: 1970879 PMCID: PMC330726] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022] Open
|
40
|
Dinucleotide repeat polymorphism at the D1S102 locus. Nucleic Acids Res 1990; 18:2199. [PMID: 1970878 PMCID: PMC330725] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022] Open
|