Search PubMed⌕ Search

SEARCH · Search PubMed

Results for “quantitative trait locus”

Search indexed PubMed citations on genomics, clinical trials, systematic reviews and public health. Explore titles, authors and supplied subject terms, then open the PubMed record.

Quote a phrase for an exact phrase match. Source license links do not imply unrestricted reuse.

At least 1,189 records · Page 66Linked to original sources

Bay-0 x Shahdara recombinant inbred line population: a powerful tool for the genetic dissection of complex traits in Arabidopsis.

Natural genetic variation in Arabidopsis is considerable, but has not yet been used extensively as a source of variants to identify new genes of interest. From the cross between two genetically distant ecotypes, Bay-0 and Shahdara, we generated a Recombinant Inbred Line (RIL) population dedicated to Quantitative Trait Locus (QTL) mapping. A set of 38 physically anchored microsatellite markers was created to construct a robust genetic map from the 420 F6 lines. These markers, evenly distributed throughout the five chromosomes, revealed a remarkable equilibrium in the segregation of parental alleles in the genome. As a model character, we have analysed the genetic basis of variation in flowering time in two different environments. The simultaneous mapping of both large- and small-effect QTLs responsible for this variation explained 90% of the total genotypic variance. Two of the detected QTLs colocalize very precisely with FRIGIDA and FLOWERING LOCUS C genes; we provide information on the polymorphism of genes confirming this hypothesis. Another QTL maps in a region where no QTL had been found previously for this trait. This confirms the accuracy of QTL detection using the Bay-0 x Shahdara RIL population, which constitutes the largest in size available so far in Arabidopsis. As an alternative to mutant analysis, this population represents a powerful tool which is currently being used to undertake the genetic dissection of complex metabolic pathways.

Journal Article↗

QTL mapping and introgression of yield-related traits from Oryza glumaepatula to cultivated rice ( Oryza sativa) using microsatellite markers.

Rice ( Oryza sativa) cultivar development currently faces the task of overcoming yield plateaus, which is difficult due to the narrow genetic base of breeding programs. Oryza glumaepatula is a diploid wild relative of cultivated rice, native to Central and South America, and is therefore a potential source of alleles of agronomic importance to rice breeding programs. We studied 11 agronomic traits in BC(2)F(2) families of the interspecific cross Oryza sativa x O. glumaepatula. Transgressive lines which are almost isogenic to the elite recurrent O. sativa parent were identified for most of these traits. Quantitative trait locus (QTL) analysis was performed by single-point and interval mapping using a molecular map based on 157 microsatellite and STS markers. Marker regions accounting for 14.5 to 72.9% of a phenotypic variation trait were identified in 9 of the 12 rice chromosomes. Positive QTL effects from O. glumaepatula were observed in chromosomal regions associated with tillering and panicle-number traits.

Journal Article↗

Molecular dissection of seedling-vigor and associated physiological traits in rice.

seedling-vigor is important for crop establishment. There have been reported quantitative trait locus (QTL) analyses on seedling-vigor related morphological traits. However, physiological understanding of these detected QTLs is rather limited. In this study, we employed a recombinant inbred population to detect QTLs for seedling-vigor traits and physiological traits related to seedling-vigor. Germination rate and seedling growth were measured to quantify seedling-vigor. Total amylase activity, alpha-amylase activity, reducing sugar content, root activity and seed weight were determined. Correlations were observed between the seedling-vigor and physiological traits. QTL analysis reveals that the intervals of RG393-C1087-RZ403 on chromosome 3, C246-RM26-C1447 and R830-R3166-RG360-C734b on chromosome 5, and the interval of Waxy on chromosome 6 are the four main chromosomal regions controlling seedling-vigor. Several QTLs for amylase activities, reducing sugar content and root activity were localized in the similar regions as the QTLs for seedling-vigor. The results suggest that these traits were under the control of pleiotropic and/or closely linked QTLs. The implications of the results in the understanding of the physiological basis of seedling-vigor were discussed.

Journal Article↗

Comparison between Poncirus and Citrus genetic linkage maps.

Five genetic linkage maps were constructed for the parents of three progenies: Citrus aurantium (A) x Poncirus trifoliata var. Flying Dragon (Pa), C. volkameriana (V) x P. trifoliata var. Rubidoux (Pv) and a self-pollination of P. trifoliata var. Flying Dragon (Pp). The number of polymorphic markers assayed ranged from 48 for Pa to 120 for A according to the heterozygosity of each parental. As our focus was on genome comparison, most of the markers were newly generated simple sequence repeats. Inter-retrotransposon amplified polymorphisms based on four retrotransposon sequences isolated from Citrus spp were also used to saturate the maps. These polymorphisms were much more frequent in A (53) than in Pa (15) and randomly distributed throughout both genomes. Since comparative genomics and quantitative trait locus analysis applicability depends on the reliability of marker ordering, the causes of variation in marker order were investigated. Around 25% of the markers showed gametal segregation distortions. Segregation distortions were also observed at the zygotic level towards a reduction in the observed frequency of homozygotes from that expected in linkage groups 5 and 7. The presence of balanced lethal factors or gametal incompatibility genes in those genomic regions would explain a zygotic advantage of heterozygotes at these specific regions. Four differences in genomic organization were observed; three are putative translocations and affect homeologous linkage groups 3, 7 and 11, where highly distorted markers are found. Other causes of variation in marker order are also discussed: the introduction of new markers in the map, lowering the LOD score and the mapping software. These results represent the first comparative mapping analysis among Citrus and Poncirus species.

Chromosome Mapping↗

Mining data from potato pedigrees: tracking the origin of susceptibility and resistance to Verticillium dahliae in North American cultivars through molecular marker analysis.

Potato ( Solanum tuberosum L.) cultivated in North America is an autotetraploid species with a narrow genetic base. Most of the popular commercial cultivars are susceptible to Verticillium dahliae, a fungal pathogen causing Verticillium wilt disease, though some cultivars with relatively high resistance also exist. We have used the available pedigree information to track the origin of susceptibility and resistance to Verticillium wilt present in cultivated potatoes. One hundred thirty-nine potato cultivars and breeding selections were analyzed for resistance to the pathogen and for the presence of the microsatellite marker allele STM1051-193 that is closely linked to the resistance quantitative trait locus located on the short arm of chromosome 9. We detected an unusually high frequency of susceptible genotypes in the progeny descending from the breeding selection USDA X96-56. Molecular analysis revealed that USDA X96-56 does not have the STM1051-193 allele. Most of the first-generation progeny of this breeding selection also lack the allele. On the other hand, pedigree analysis indicated that breeding selection USDA 41956 often transfers V. dahliae resistance to its progeny. Molecular analysis detected presence of (at least) three STM1051-193 alleles in this breeding selection. These two genotypes (USDA X96-56 and USDA 41956) appear to have contributed greatly to the susceptibility or resistance, respectively, found in present commercial cultivars. Our results also indicate that the maturity class substantially affects the plant resistance response. In the intermediate to very late maturing class, the presence of the STM1051-193 allele significantly increases the resistance. Early to very early potatoes are usually more susceptible to the disease regardless of the allelic status, though the pattern of the allele effect is always the same. The results indicate that the STM1051-193 allele can be used for marker-assisted selection, but the potato maturity class also needs to be considered when making the final decision about the plant resistance level.

Crosses, Genetic↗

Using cDNA and genomic sequences as tools to develop SNP strategies in cassava (Manihot esculenta Crantz).

Single nucleotide polymorphisms (SNP) are the most abundant type of DNA polymorphism found in animal and plant genomes. They provide an important new source of molecular markers that are useful in genetic mapping, map-based positional cloning, quantitative trait locus mapping and the assessment of genetic distances between individuals. Very little is known on the frequency of SNPs in cassava. We have exploited the recently-developed collection of cassava expressed sequence tags (ESTs) to detect SNPs in the five cultivars of cassava used to generate the sequences. The frequency of intra-cultivar and inter-cultivar SNPs after analysis of 111 contigs was one polymorphism per 905 and one per 1,032 bp, respectively; totaling 1 each 509 bp. We have obtained further information on the frequency of SNPs in six cassava cultivars by analysis of 33 amplicons obtained from 3' EST and BAC end sequences. Overall, about 11 kb of DNA sequence was obtained for each cultivar. A total of 186 SNPs (136 and 50 from ESTs and BAC ends, respectively) were identified. Among these, 146 were intra-cultivar polymorphisms, while 80 were inter-cultivar polymorphisms. Thus the total frequency of SNPs was one per 62 bp. This information will help to develop new strategies for EST mapping as well as their association with phenotypic characteristics.

Computational Biology↗

Development of a genomic library of near isogenic lines (NILs) in melon (Cucumis melo L.) from the exotic accession PI161375.

A doubled haploid line (DHL) population of melon derived from a cross between the Korean cultivar "Songwhan Charmi" accession PI161375 (SC), included in the horticultural group conomon, and the Spanish cultivar "Piel de Sapo" (PS), included in the horticultural group inodorus, was used to develop a collection of near isogenic lines (NILs). These parental lines represent very different melon cultivar groups, with important differences at fruit, plant, disease response and molecular level. This cross is one of the most polymorphic ones within melon germplasm. Selected DHLs were backcrossed to PS and further backcrossing and selfing was performed, monitoring introgressions from SC using molecular markers covering the melon genetic map. A final collection of 57 NILs was obtained, containing a unique independent introgression from SC in the PS genetic background. The introgressions within the collection cover at least 85% of the SC genome with an average introgression size of 41 cM, corresponding to 3.4% of the SC genome. The average resolution for mapping genes or quantitative trait loci is 18.90 cM. This set of NILs is a potentially powerful tool for the study of quantitative trait locus involved in melon fruit quality and other important complex traits, and the introduction of new genetic variability in modern cultivars from exotic sources. The NILs can also be used as pre-competitive breeding lines in melon breeding projects.

Breeding↗

Isolation, characterization and mapping of simple sequence repeat markers in zoysiagrass (Zoysia spp.).

The genus Zoysia consists of 16 species that are naturally distributed on sea coasts and grasslands around the Pacific. Of these, Zoysia japonica, Zoysia matrella, and Zoysia tenuifolia are grown extensively as turfgrasses, and Z. japonica is also used as forage grass in Japan and other countries in East Asia. To develop simple sequence repeat (SSR) markers for zoysiagrass (Zoysia spp.), we used four SSR-enriched genomic libraries to isolate 1,163 unique SSR clones. All four libraries contained a high percentage of perfect clones, ranging from 67.1 to 96.0%, and compound clones occurred with higher frequencies in libraries A (28.6%) and D (11.6%). From these clones, we developed 1,044 SSR markers when we tested all 1,163 SSR primer pairs. Using all 1,044 SSR markers, we tested one screening panel consisting of eight Zoysia clones for testing PCR amplifications, from which five unrelated clones, among the eight, were used for polymorphism assessment, and found that the polymorphic information content ranged from 0 (monomorphic loci) to 0.88. Of the 1,044 SSR markers, 170 were segregated in our mapping population and we mapped 161 on existing amplified fragment length polymorphism-based linkage groups, using this mapping population. These SSR markers will provide an ideal marker system to assist with gene targeting, quantitative trait locus mapping, variety or species identification, and marker-assisted selection in Zoysia species.

Chromosome Mapping↗

Rhg1 alleles from soybean PI 437654 and PI 88788 respond differentially to isolates of Heterodera glycines in the greenhouse.

The production of resistant soybean [Glycine max (L.) Merr.] cultivars is the most effective means for controlling losses from soybean cyst nematode (SCN) (Heterodera glycines Ichinohe). The major resistance gene in most SCN resistance sources is rhg1, which has been mapped as a quantitative trait locus onto linkage group G. Our objective was to determine whether the SCN resistance sources PI 437654 and PI 88788 have different functional alleles at rhg1 based on resistance phenotypes. Populations segregating for resistance alleles at rhg1 from both PI 88788 and PI 437654 and at Rhg4, a second SCN resistance gene from PI 437654, were developed. These populations were screened for resistance to the H. glycines inbred isolates PA3 (HG type 7) and TN14 (HG type 1.2.5.7) in the greenhouse and evaluated with molecular markers linked to both rhg1 and Rhg4. Each isolate test was repeated, and the evaluations were done on a single-plant and a line-mean basis in Test 1, and solely on a single-plant basis in Test 2. Across two tests with the TN14 isolate, plants with the PI 437654 allele for a marker linked to rhg1 had significantly (P<0.0001) less SCN reproduction than plants carrying the PI 88788 allele. A marker linked to Rhg4, however, was not significantly associated with resistance to TN14. Across two tests with the PA3 isolate, alleles of rhg1 from both sources gave a resistant reaction, although plants homozygous for the PI 88788 allele had significantly (P<0.05) greater resistance than plants with the PI 437654 allele. The marker allele from PI 437654 linked to Rhg4 was significantly (P<0.0005) associated with greater resistance than the PI 88788 allele in both PA3 tests, and resistance was dominant. There was a significant interaction between alleles at rhg1 and Rhg4 in both PA3 tests. These results suggest that PI 437654 and PI 88788 each have a different functional SCN resistance allele at or close to rhg1. These allelic differences have implications that breeders should consider before incorporation into cultivars.

Alleles↗

PARL Leu262Val is not associated with fasting insulin levels in UK populations.

AIMS/HYPOTHESIS: PARL, the gene encoding presenilins-associated rhomboid-like protein, maps to chromosome 3q27 within a quantitative trait locus that influences components of the metabolic syndrome. Recently, an amino acid substitution (Leu262Val, rs3732581) in PARL was associated with fasting plasma insulin levels in a US white population (N=1031). This variant was also found to modify the positive association between age and fasting insulin. The aim of this study was to test whether these findings could be replicated in two UK population-based cohorts. METHODS: Participants from the Medical Research Council Ely and Hertfordshire cohort studies were genotyped for this variant using a SNaPshot primer extension assay and Taqman assay respectively. Full phenotypic and genotypic data were available for 3,666 study participants. RESULTS: Based on a dominant model, we found no association between the Leu262Val polymorphism and fasting insulin levels (p=0.79) or BMI (p=0.98). We did not observe the previously reported interaction between age and genotype on fasting insulin (p=0.14). CONCLUSIONS/INTERPRETATION: Despite having greater statistical power, our data do not support the previously reported association between PARL Leu262Val and fasting plasma insulin levels, a measure of insulin resistance. Our findings indicate that this variant is unlikely to be an important contributor to insulin resistance in UK populations.

Aged↗

Association of PLOD1 polymorphisms with bone mineral density in a population-based study of women from the UK.

The PLOD1 gene is situated within a quantitative trait locus for regulation of bone mineral density (BMD) on chromosome 1p36 and is a strong functional candidate for the regulation of BMD and bone quality. PLOD1 encodes the enzyme procollagen-lysine, 2-oxoglutarate 5-dioxegenase (lysyl hydroxylase; EC 1.14.11.4), which catalyses the hydroxylation of lysine residues during the posttranslational modification of type I collagen, the major protein of bone. We investigated the role of PLOD1 as a genetic determinant of osteoporosis by studying two coding polymorphisms located in exon 3 of the PLOD1 gene in relation to BMD and bone loss in a population-based cohort of 678 Scottish women. We observed a significant association between lumbar spine (LS) BMD and a polymorphism at nucleotide 386 (G386A) of PLOD1, which results in an alanine-threonine amino acid change at codon 99 (A99T). Heterozygotes for G386A had significantly reduced LS-BMD when compared with the other genotype groups, and the difference remained significant after correcting for confounding factors. A similar association was observed between LS-BMD and a conservative polymorphism at position 385 (C385T), but this was in strong linkage disequilibrium (LD) with G386A. There was no evidence for an allele dose effect for either polymorphism, and the strongest association was observed in heterozygotes. No association was found between PLOD1 alleles and femoral-neck BMD or bone loss, but the hydroxylysylpyridinoline to lysylpyridinoline ratio was significantly increased in G386A heterozygotes compared with other genotype groups, suggesting a functional effect of this polymorphism on enzyme activity. Our findings show that heterozygosity for the A99T variant of PLOD1 is associated with reduced LS-BMD and an altered ratio of hydroxylysylpyridinoline to lysylpyridinoline. Whilst further studies will be required to confirm and extend these observations, our studies raise the possibility that A99T heterozygosity might affect lysyl hydroxylase function and regulate bone mass.

Bone Density↗

No evidence for linkage and/or association of human alpha2-HS glycoprotein gene with bone mineral density variation in Chinese nuclear families.

Osteoporosis is an important health problem in the world. Alpha2-HS glycoprotein (AHSG) is involved in bone formation and metabolism and has been considered as an important candidate gene for osteoporosis. In this study, we simultaneously tested linkage and/or association of the AHSG gene with the variation of bone mineral density (BMD), an important risk factor for osteoporosis. A sample of 1,260 subjects from 401 Chinese nuclear families (including both parents and their daughters) were studied. The daughters' ages ranged from 20 to 45 years. All the subjects were genotyped by PCR-RFLP (polymerase chain reaction-restriction fragment length polymorphism) at polymorphic Sac I site inside the exon 7 of the AHSG gene. This polymorphism involves a nucleotide substitution of C to G at the middle nucleotide of the codon at amino acid position 238, resulting in the replacement of threonine (ACC) with serine (AGC). BMD was measured at the lumbar spine and hip region by dual-energy X-ray absorptiometry (DXA). Using the QTDT (quantitative trait transmission disequilibrium test), we found no significant results for association or linkage between the AHSG gene and BMD variation at the spine or hip. Our data provided no evidence to support the AHSG gene as a quantitative trait locus (QTL) for the BMD variation in a Chinese population.

Absorptiometry, Photon↗

Exercise and mechanical loading increase periosteal bone formation and whole bone strength in C57BL/6J mice but not in C3H/Hej mice.

To identify the genes, and the mechanisms that account for the 53% higher peak bone density in C3H/HeJ (C3H) mice compared with C57BL/6J (B6) mice, we are performing quantitative trait locus and phenotypic analyses. The phenotypic studies revealed differences in bone formation and resorption, and showed that hindlimb immobilization (by sciatic neurectomy) caused a greater increase in endosteal resorption in the tibiae of B6 compared with C3H mice. The current studies were intended to examine the hypothesis that the bones of C3H mice are less sensitive to mechanical loading than the bones of B6 mice. To increase mechanical loading, 9-week-old female B6 and C3H mice (n = 10-13 mice/group) were subjected to a jumping exercise (20 jumps/day, 5 days/week, to heights of 20-30 cm) for a total of 4 weeks. Control mice did not jump. Osteocalcin, alkaline phosphatase (ALP) activity, and IGF-I were measured in serum. The left tibiae were used for histomorphometry (ground cross-sections prepared at the tibiofibular junction) and the right tibiae and femora were used for determinations of bone breaking strength (3-point bending). The results of these studies revealed (1) significant effects of both mouse strain (B6 and C3H) and the jumping exercise on tibial strength; (2) an exercise-dependent increase in serum IGF-I in C3H, but not B6 mice; and (3) no effects on serum ALP or osteocalcin. The histomorphometric analyses showed no effect of exercise on C3H tibiae, but significant exercise-dependent increases in total bone area, periosteal perimeter, periosteal mineral apposition rate (MAR), and periosteal bone formation (P < 0.02 for each) in B6 tibiae. There were no effects of exercise on periosteal resorption or any endosteal measurement in either C3H or B6 mice. Since the jumping exercise was designed to cause a two-three fold increase in muscular-skeletal loading at the tibio-fibular junction, and the calculated stress (g/mm2) at this sampling site was only 16% greater for B6 compared with C3H mice, we had anticipated that both strains of mice would show exercise-dependent increases in periosteal bone formation, with a greater response in the B6 mice. The lack of a response in the C3H tibiae demonstrates that the bones of C3H mice are less sensitive to mechanical loading (and unloading) than the bones of B6 mice.

Alkaline Phosphatase↗

A model wheat cultivar for transformation to improve resistance to Fusarium Head Blight.

Fusarium head blight (FHB), caused primarily by Fusarium graminearum, is a major disease problem in wheat (Triticum aestivum). Genetic engineering holds significant potential to enhance FHB resistance in wheat. Due to the requirement of screening for FHB resistance on flowers at anthesis, the number of screens carried out in a year is limited. Our objective was to evaluate the feasibility of using the rapid-maturing dwarf wheat cultivar Apogee as an alternative genotype for transgenic FHB resistance research. Our transformation efficiency (number of transgenic plants/number of embryos) for Apogee was 1.33%. Apogee was also found to exhibit high FHB susceptibility and reached anthesis within 4 weeks. Interestingly, microsatellite marker haplotype analysis of the chromosome 3BS FHB resistant quantitative trait locus (QTL) region indicated that this region maybe deleted in Apogee. Our results indicate that Apogee is particularly well suited for accelerating transgenic FHB resistance research and transgenic wheat research in general.

Fusarium↗

Confirmation and high resolution mapping of an atherosclerosis susceptibility gene in mice on Chromosome 1.

Previously, we demonstrated that Ath1 is a quantitative trait locus for aortic fatty streak formation, located on Chromosome (chr) 1, with susceptibility in C57BL/6J mice and resistance in C3H/HeJ and BALB/cJ mice fed an atherogenic diet. In this study, we find an atherosclerosis susceptibility locus in the same region of Chr 1 by constructing two congenic strains with the resistance phenotype transferred from different resistant strains, PERA/EiJ or SPRETUS/EiJ. By backcrossing one congenic strain to C57BL/6J and testing recombinant animals, we reduced the distance of the atherosclerosis susceptibility region to 2.3 cM between D1Mit14 and D1Mit10. Further testing of nine recombinant animals showed that eight of the nine were consistent with a further narrowing between D1Mit159 and D1Mit398 a distance of 0.66 cM. This region encompasses a number of potential candidate genes including the thiol-specific antioxidant gene Aop2, also known as peroxiredoxin 5 (Prdx5). AOP2 is capable of reducing hydroperoxides and lipid peroxides in the cell. To investigate Aop2 as a potential candidate, we mapped Aop2 in our backcross and localized it to the atherosclerosis susceptibility interval. We determined that Aop2 is highly expressed in atherosclerosis-related tissues including liver and heart. We also found an inverse correlation between Aop2 mRNA in liver and atherosclerosis phenotype for strains C57BL/6 and the resistant congenic derived from SPRETUS/EiJ. Since LDL oxidation has been implicated in the pathogenesis of this disease, and AOP2 possesses antioxidant activity, we suggest the role of Aop2 in atherosclerosis susceptibility needs to be further explored.

Animals↗

Single and multiple congenic strains for hydrocephalus in the H-Tx rat.

The H-Tx rat has fetal-onset hydrocephalus with a complex mode of inheritance. Previously, quantitative trait locus mapping using a backcross with Fischer F344 rats demonstrated genetic loci significantly linked to hydrocephalus on Chromosomes 10, 11, and 17. Hydrocephalus was preferentially associated with heterozygous alleles on Chrs 10 and 11 and with homozygous alleles on Chr 17. This study aimed to determine the phenotypic contribution of each locus by constructing single and multiple congenic strains. Single congenic rats were constructed using Fischer F344 as the recipient strain and a marker-assisted protocol. The homozygous strains were maintained for eight generations and the brains examined for dilated ventricles indicative for hydrocephalus. No congenic rats had severe (overt) hydrocephalus. A few pups and a significant number of adults had mild disease. The incidence was significantly higher in the C10 and C17 congenic strains than in the nonhydrocephalic F344 strain. Breeding to F344 to make F.H-Tx C10 or C11 rats heterozygous for the hydrocephalus locus failed to produce progeny with severe disease. Both bicongenic and tricongenic rats of different genotype combinations were constructed by crossing congenic rats. None had severe disease but the frequency of mild hydrocephalus in adults was similar to congenic rats and significantly higher than in the F344 strain. Rats with severe hydrocephalus were recovered in low numbers when single congenic or bicongenic rats were crossed with the parental H-Tx strain. It is concluded that the genetic and epigenetic factors contributing to severe hydrocephalus in the H-Tx strain are more complex than originally anticipated.

Animals↗

Transcriptome profile of macrophages from atherosclerosis-sensitive and atherosclerosis-resistant mice.

We performed a strain intercross between two apoE-deficient mouse strains with a large difference in lesion susceptibility and measured aortic root lesion area in 98 female F(2) progeny. Total RNA was prepared from bone marrow-derived macrophages, and RNA from the five mice with the smallest and largest lesions were used for microarray gene expression profiling. Remarkably, approximately 5% of the 12,288 expressed transcripts were differentially expressed in the atherosclerosis-susceptible and atherosclerosis-resistant bone marrow-derived macrophages (unadjusted p < 0.05), thus defining the transcriptome of macrophages associated with atherosclerosis susceptibility. Using more stringent criteria of twofold or greater change and p < 0.01, 116 and 70 transcripts were overexpressed in lesion-prone and lesion-resistant bone marrow-derived macrophages, respectively. Transcription factor binding site analysis identified two promoter elements that were found more often in the genes overexpressed in the large-lesion group, and one promoter element that was found more often in the small-lesion group. The combination of this expression profiling data with the genetic method of quantitative trait locus mapping should give powerful insights into the genes that affect atherosclerosis susceptibility in mice.

Alternative Splicing↗

Integrating genetic and gene expression data: application to cardiovascular and metabolic traits in mice.

The millions of common DNA variations that occur in the human population, or among inbred strains of mice and rats, perturb the expression (transcript levels) of a large fraction of the genes expressed in a particular tissue. The hundreds or thousands of common cis-acting variations that occur in the population may in turn affect the expression of thousands of other genes by affecting transcription factors, signaling molecules, RNA processing, and other processes that act in trans. The levels of transcripts are conveniently quantitated using expression arrays, and the cis- and trans-acting loci can be mapped using quantitative trait locus (QTL) analysis, in the same manner as loci for physiologic or clinical traits. Thousands of such expression QTL (eQTL) have been mapped in various crosses in mice, as well as other experimental organisms, and less detailed maps have been produced in studies of cells from human pedigrees. Such an integrative genetics approach (sometimes referred to as "genetical genomics") is proving useful for identifying genes and pathways that contribute to complex clinical traits. The coincidence of clinical trait QTL and eQTL can help in the prioritization of positional candidate genes. More importantly, mathematical modeling of correlations between levels of transcripts and clinical traits in genetic crosses can allow prediction of causal interactions and the identification of "key driver" genes. An important objective of such studies will be to model biological networks in physiologic processes. When combined with high-density single nucleotide polymorphism (SNP) mapping, it should be feasible to identify genes that contribute to transcript levels using association analysis in outbred populations. In this review we discuss the basic concepts and applications of this integrative genomic approach to cardiovascular and metabolic diseases.

Animals↗