Relevant bibliographies by topics / Genetic mapping

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Genetic mapping'

Author: Grafiati
Published: 4 June 2021
Last updated: 6 September 2023

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Journal articles on the topic "Genetic mapping"

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Salava, J., Y. Wang, B. Krška, J. Polák, P. Komínek, R. W. Miller, W. M. Dowler, G. L. Reighard, and A. G. Abbott. "Molecular genetic mapping in apricot." Czech Journal of Genetics and Plant Breeding 38, No. 2 (July 30, 2012): 65–68. http://dx.doi.org/10.17221/6113-cjgpb.

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A genetic linkage map for apricot (Prunus armeniaca L.) has been constructed using amplified fragment length polymorphism (AFLP) markers in 80 BC1 individuals derived from a cross LE-3246 × Vestar. From 26 different primer combinations, a total of 248 AFLP markers were scored, of which, 40 were assigned to 8 linkage groups covering 315.8 cM of the apricot nuclear genome. The average interval between these markers was 7.7 cM. One gene (PPVres1) involved in resistance to PPV (Plum pox virus) was mapped. Two AFLP markers (EAA/MCAG8 and EAG/MCAT14) were found to be closely associated with the PPVres1 locus (4.6 cM resp. 4.7 cM). These markers are being characterized and they will be studied for utilization in apricot breeding with marker-assisted selection (MAS).
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Bo, W., Z. Wang, F. Xu, G. Fu, Y. Sui, W. Wu, X. Zhu, D. Yin, Q. Yan, and R. Wu. "Shape mapping: genetic mapping meets geometric morphometrics." Briefings in Bioinformatics 15, no. 4 (March 4, 2013): 571–81. http://dx.doi.org/10.1093/bib/bbt008.

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BORMAN, STU. "MAPPING HUMAN GENETIC VARIATION." Chemical & Engineering News 83, no. 8 (February 21, 2005): 13. http://dx.doi.org/10.1021/cen-v083n008.p013.

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Dzau, Victor J., Howard J. Jacob, Klaus Lindpainter, Detlev Ganten, and Eric S. Lander. "Genetic mapping in hypertension." Journal of Vascular Surgery 15, no. 5 (May 1992): 930–31. http://dx.doi.org/10.1016/0741-5214(92)90757-y.

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Gulsen, Osman. "Genetic mapping in plants." Journal of Biotechnology 161 (November 2012): 7–8. http://dx.doi.org/10.1016/j.jbiotec.2012.07.171.

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Malke, Horst. "Genetic and Physical Mapping." Bioelectrochemistry and Bioenergetics 29, no. 3 (February 1993): 373–74. http://dx.doi.org/10.1016/0302-4598(93)85015-l.

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Ebersberger, I., P. Galgoczy, S. Taudien, S. Taenzer, M. Platzer, and A. von Haeseler. "Mapping Human Genetic Ancestry." Molecular Biology and Evolution 24, no. 10 (July 21, 2007): 2266–76. http://dx.doi.org/10.1093/molbev/msm156.

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Hutchinson, Anna, Jennifer Asimit, and Chris Wallace. "Fine-mapping genetic associations." Human Molecular Genetics 29, R1 (August 3, 2020): R81—R88. http://dx.doi.org/10.1093/hmg/ddaa148.

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Abstract Whilst thousands of genetic variants have been associated with human traits, identifying the subset of those variants that are causal requires a further ‘fine-mapping’ step. We review the basic fine-mapping approach, which is computationally fast and requires only summary data, but depends on an assumption of a single causal variant per associated region which is recognized as biologically unrealistic. We discuss different ways that the approach has been built upon to accommodate multiple causal variants in a region and to incorporate additional layers of functional annotation data. We further review methods for simultaneous fine-mapping of multiple datasets, either exploiting different linkage disequilibrium (LD) structures across ancestries or borrowing information between distinct but related traits. Finally, we look to the future and the opportunities that will be offered by increasingly accurate maps of causal variants for a multitude of human traits.
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Ryma, Guefrouchi, and Kholladi Mohamed-Khireddine. "Genetic Algorithm With Hill Climbing for Correspondences Discovery in Ontology Mapping." Journal of Information Technology Research 12, no. 4 (October 2019): 153–70. http://dx.doi.org/10.4018/jitr.2019100108.

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Meta-heuristics are used as a tool for ontology mapping process in order to improve their performance in mapping quality and computational time. In this article, ontology mapping is resolved as an optimization problem. It aims at optimizing correspondences discovery between similar concepts of source and target ontologies. For better guiding and accelerating the concepts correspondences discovery, the article proposes a meta-heuristic hybridization which incorporates the Hill Climbing method within the mutation operator in the genetic algorithm. For test concerns, syntactic and lexical similarities are used to validate correspondences in candidate mappings. The obtained results show the effectiveness of the proposition for improving mapping performances in quality and computational time even for large OAEI ontologies.
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Mynett-Johnson, Lesley A., and Patrick McKeon. "The molecular genetics of affective disorders: An overview." Irish Journal of Psychological Medicine 13, no. 4 (December 1996): 155–61. http://dx.doi.org/10.1017/s0790966700004444.

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AbstractObjective: Genetic mapping, the method of comparing an inheritance pattern of a disease to that of a chromosomal region, has brought about a revolution in the field of human inherited diseases. Diseases which exhibit a more complex pattern of inheritance now afford the next challange in the application of genetic mapping to the field of human disease. This article aims to review the application of genetic mapping to affective disorders.Method: Review of literature concerning the molecular genetics of affective disorders.Findings: This article describes the evidence for a genetic role in affective disorders, reviews the research to date and describes the difficulties arising out of the complex nature of these disorders.Conclusions: Although progress to date in psychiatric genetics has been somewhat disappointing, the combined approach of using all the genetic tools currently available on large collections of affected individuals and families should enable the genetic basis of affective disorders to be identified.
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Dissertations / Theses on the topic "Genetic mapping"

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Parts, Leopold. "Genetic mapping of cellular traits." Thesis, University of Cambridge, 2011. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.609665.

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Melville, Scott Andrew Biotechnology &amp Biomolecular Sciences Faculty of Science UNSW. "Disease gene mapping in border collie dogs." Awarded by:University of New South Wales. School of Biotechnology and Biomolecular Sciences, 2006. http://handle.unsw.edu.au/1959.4/25511.

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Pedigree dog breeds are genetically isolated and inbred populations with characteristics specific to each breed. Some breeds carry genetic diseases which affect the health of the animals, but may also serve as a valuable model to identify genes involved in human disease. In the Border Collie breed in Australia, the identification of two disease genes would enable breeders to DNA test their animals and prevent future cases. Over 530 samples were collected to identify the genes responsible for these diseases through linkage mapping and candidate gene approaches. Collie Eye Anomaly (CEA) defines a group of symptoms that cause the incorrect development of different regions within the eye, and may also result in the detachment of the retina. The presence of the disease in different breeds of collies suggests that the disease originated before the differentiation of the collie breeds. The CEA gene was mapped to a region of CFA37, but the disease gene was identified by another research group. Neuronal Ceroid Lipofuscinosis (NCL) is a fatal neurodegenerative disorder that affects Border Collie dogs from approximately 16 months of age. The disease is inherited in an autosomal recessive manner and affected animals display a range of physiological and behavioural symptoms that include loss of muscular control, nervousness and sometimes aggression. Due to the debilitating nature of the disease, dogs rarely survive beyond 28 months of age. Microsatellite markers were used to exclude the Border Collie NCL gene from the region of the English Setter NCL gene (homolog of human NCL gene CLN8). Further work mapped the disease gene to CFA22, in a region containing the homolog for CLN5, one of the identified human disease genes for NCL. Subsequent sequencing of canine CLN5 revealed a nonsense mutation (c.619C>T, Q206X) that co-segregated with NCL in Border Collie pedigrees. This truncation mutation resulted in a protein product of similar size to some mutations identified in human CLN5 and therefore the Border Collie may make a good model for future NCL studies. With DNA testing now available, breeders of Border Collies can now ensure that no animal will die of NCL.
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Einarsdottir, Elisabet. "Mapping genetic diseases in northern Sweden." Doctoral thesis, Umeå universitet, Medicinsk biovetenskap, 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-499.

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The population of northern Sweden has previously been shown to be well suited for the mapping of monogenic diseases. In this thesis we have tested the hypothesis that this population could also be used for efficient identification of risk genes for common diseases. In Paper I we have hypothesised that despite the admixture of Swedish, Finnish and Sami, the northern Swedish population consists of sub-populations geographically restricted by the main river valleys running through the region. This geographic isolation, in combination with founder effects and genetic drift, could represent a unique resource for genetic studies. On the other hand, it also underlines the importance of accounting for this e.g. in genetic association studies. To test this hypothesis, we studied the patterns of marriage within and between river valley regions and compared allelic frequencies of genetic markers between these regions. The tendency to find a spouse and live in the river valley where one was born is strong, and allelic frequencies of genetic markers vary significantly between adjacent regions. These data support our hypothesis that the river valleys are home to distinct sub-populations and that this is likely to affect mapping of genetic diseases in these populations. In Paper II, we tested the applicability of the population in mapping HSAN V, a monogenic disease. This disease was identified in only three consanguineous individuals suffering from a severe loss of deep pain perception and an impaired perception of heat. A genome-wide scan combined with sequencing of candidate genes resulted in the identification of a causative point mutation in the nerve growth factor beta (NGFB) gene. In Paper III, a large family with multiple members affected by familial forms of type 1 diabetes mellitus (T1DM) and autoimmune thyroiditis (AITD) was studied. This syndrome was mapped to the IDDM12 region on 2q33, giving positive lodscores when conditioning on HLA haplotype. The linkage to HLA and to the IDDM12 region thus confirmed previous reports of linkage and/or association of T1DM and AITD to these loci and provided evidence that the same genetic factors may be mediating these diseases. This also supported the feasibility of mapping complex diseases in northern Sweden by the use of familial forms of these diseases. In Paper IV, we applied the same approach to study type 2 diabetes mellitus (T2DM). A non-parametric genome-wide scan was carried out on a family material from northern Sweden, and linkage was found to the calpain-10 locus, a previously described T2DM-susceptibility gene on 2q37. Together, these findings demonstrate that selecting for familial forms of even complex diseases, and choosing families from the same geographical region can efficiently reduce the genetic heterogeneity of the disease and facilitate the identification of risk genes for the disease.
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Einarsdóttir, Elísabet. "Mapping genetic diseases in northern Sweden." Umeå : Department of Medical Biosciences, Umeå University, 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-499.

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MacGregor, Stuart. "Genetic linkage mapping in complex pedigrees." Thesis, University of Edinburgh, 2003. http://hdl.handle.net/1842/12507.

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Genetic linkage analysis is the primary method for the identification of loci contributing to complex disease susceptibility. Linkage analysis techniques can be applied to both disease status (discrete traits) and to quantitative trait measures (quantitative trait loci or QTL mapping). Such techniques will be most effective if they can be applied to all of the available data; in human, ecological and livestock genetics this often means families with complex pedigree structures. The analysis of complex pedigrees is more difficult, both in terms of model formulation and computational ease, than similar studies of small family structures such as affected sibling pairs (ASP). Univariate variance component (VC) techniques suitable for QTL analysis of both quantitative and qualitative (via a threshold model) traits are described. Extensions to the univariate VC methods are proposed, allowing QTL analyses of longitudinal data in complex pedigrees, with polynomial based covariance functions offering a parsimonious description of the covariance structure across measures. Computer simulations are used to show that, under a range of realistic scenarios, the longitudinal QTL method offers more power to detect QTL than univariate or repeated measures methods. The longitudinal method is subsequently applied to a 330 extended families from the Framingham Heart Study, allowing the identification of QTL for a number of cardiovascular disease risk factors. The maximum LOD score (3.12) is obtained on chromosome 16 for Body Mass Index (BMI) and subsequent multivariate analyses showed that this QTL is most relevant to BMI at early ages. Threshold model based VC and parametric linkage analyses are applied to a set of Scottish families affected by psychiatric disease. The results from this analysis are in agreement with previous results implicating chromosome 1q42 in psychiatric disease susceptibility. The broad application of the VC techniques is further demonstrated by applying the techniques to a QTL mapping problem in a very large Red Deer (Cervus Elaphus) pedigree.
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Johanneson, Bo. "Genetic Mapping of Susceptibility Genes for Systemic Lupus Erythematosus." Doctoral thesis, Uppsala University, Department of Genetics and Pathology, 2002. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-2950.

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Systemic lupus erythematosus (SLE) is a complex autoimmune disease with unknown etiology. The aim of this thesis was to identify susceptibility regions through genetic mapping, using model-based linkage analysis on nuclear and extended SLE multicase families.

In the first paper we performed a genome scan on 19 genetically homogenous Icelandic and Swedish families. One region at 2q37 was identified with a significant linkage with contribution from both populations (Z=4.24). Five other regions 2q11, 4p13, 9p22, 9p13 and 9q13 showed suggestive linkage (Z>2.0).

In the second paper, 87 families from 10 different countries were analysed only for chromosome 1. One region at 1q31 showed significant linkage (Z=3.79) with contribution from families from all populations, including Mexicans and Europeans. Four other regions 1p36, 1p21, 1q23, and 1q25, showed levels of suggestive linkage. Linkage for most regions was highly dependent on what population was used, which indicated strong genetic heterogeneity in the genetic susceptibility for SLE.

In the two last papers, we used the positional candidate gene strategy, in order to investigate candidate genes in two regions linked to SLE. For the Bcl-2 gene (at 18q21) we could not detect any association with SLE using three different markers. However, when we investigated the tightly linked low-affinity family of FcγR genes (at 1q23), we could find association for two risk alleles in the FcγRIIA and FcγRIIIA genes. The risk alleles were transmitted to SLE patients on one specific haplotype and therefore are not independent risk alleles.

The results show that model-based linkage analysis is a strong approach in the search for susceptibility genes behind complex diseases like SLE.

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Guo, Youling, and 郭友玲. "Genetic and genomic mapping of common diseases." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2012. http://hub.hku.hk/bib/B50533861.

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 Genome-wide mapping of susceptibility genes was conducted in two complex disorders of hypertension and epilepsy, allowing the dissection of the genetic architecture of these common diseases and related quantitative traits. The study performed comprehensive genetic analyses in a genome-wide scale, using different structure of data – sib-pairs and case-control samples. To identify genes influencing hypertension and blood pressure, a combined linkage and association study was conducted using over half a million SNPs genotyped in 328 siblings. Regions of significant linkage were identified for blood pressure traits on chromosomes 2q22.3 and 5p13.2, respectively. Further family-based association analysis of the linkage peak on chromosome 5 yielded a significant association (rs1605685, P < 7  10-5) for hypertension. One candidate gene, PDC, was replicated in the family-based association tests. A two-stage genome-wide association study (GWAS) was performed in a total of 1,087 cases and 3,444 controls, to identify common susceptibility variants of epilepsy in Chinese. The combined analysis identified two association signals in CAMSAP1L1, rs2292096 [G] (P=1.0×10-8, OR =0.63) and rs6660197 [T] (P=9.9×10-7, OR=0.69), which are highly correlated, achieving genome-wide significance. One SNP (rs9390754, P = 1.7 × 10-5) in GRIK2 was refined as a previously-implicated association. In addition to SNPs, the assessment of CNVs in GWAS was performed, which could provide valuable clues to discover genes contributing to the heritability of epilepsy. A genome-wide scan for epilepsy through the use of DNA pooling also provides an alternative approach to reducing the substantial cost and thus increase efficiency in large-scale genetic association studies. The genome-wide mapping studies in families and unrelated individuals are complementary and together offer a comprehensive catalog of common variations and structural variants implicated for both quantitative and qualitative traits.
published_or_final_version
Psychiatry
Doctoral
Doctor of Philosophy
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Zenger, Kyall Richard. "Genetic linkage maps and population genetics of macropods." Phd thesis, Australia : Macquarie University, 2002. http://hdl.handle.net/1959.14/47604.

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"November 2001".
Thesis (PhD)--Macquarie University, Division of Environmental and Life Sciences, Department of Biological Sciences, 2002.
Bibliography: leaves 136-157.
General introduction -- Molecular markers for comparative and quantitative studies in macropods -- Genetic linkage map construction in the tammar wallaby (M. eugenii) -- Intraspecific variation, sex-biased dispersal and phylogeography of the eastern grey kangaroo (M. giganteus) -- General discussion.
The analysis of DNA using molecular techniques is an important tool for studies of evolutionary relationships, population genetics and genome organisation. The use of molecular markers within marsupials is primarily limited by their availability and success of amplification. Within this study, 77 macropodid type II microsatellite loci and two type I genetic markers were characterised within M. eugenii to evaluate polymorphic levels and cross-species amplification artifacts. Results indicated that 65 microsatellite loci amplified a single locus in M. eugenii with 44 exhibiting high levels of variability. The success of crossspecies amplification of microsatellite loci was inversely proportional to the evolutionary distance between the macropod species. It is revealed that the majority of species within the Macropodidae are capable of using many of the available heterologous microsatellites. When comparing the degree of variability between source-species and M. eugenii, most were significantly higher within source species (P < 0.05). These differences were most likely caused by ascertainment bias in microsatellite selection for both length and purity. -- The production of a marsupial genetic linkage map is perhaps one of the most important objectives in marsupial research. This study used a total of 353 informative meioses and 64 genetic markers to construct a framework genetic linkage map for M. eugenii. Nearly all markers (93.7%) formed a significant linkage (LOD > 3.0) with at least one other marker. More than 70% (828 cM) of the genome had been mapped when compared with chiasmata data. Nine linkage groups were identified, with all but one (LG7; X-linked) allocated to the autosomes. Theses groups ranged in size from 15.7 cM to 176.5 cM, and have an average distance of 16.2 cM between adjacent markers. Of the autosomal linkage groups, LG2 and LG3 were assigned to chromosome 1 and LG4 localised to chromosome 3 based on physical localisation of genes. Significant sex-specific distortions towards reduced female recombination rates were revealed in 22% of comparisons. Positive interference was observed within all the linkage groups analysed. When comparing the X-chromosome data to closely related species it is apparent that it is conserved both in synteny and gene order. -- The investigation of population dynamics of eastern grey kangaroos has been limited to a few ecological studies. The present investigation provides analysis of mtDNA and microsatellite data to infer both historical and contemporary patterns of population structuring and dispersal. The average level of genetic variation across sample locations was exceedingly high (h = 0.95, HE = 0.82), and is one of the highest observed for marsupials. Contrary to ecological studies, both genic and genotypic analyses reveal weak genetic structure of populations where high levels of dispersal may be inferred up to 230 km. The movement of individuals was predominantly male-biased (average N,m = 22.61, average N p = 2.73). However, neither sex showed significant isolation by distance. On a continental scale, there was strong genetic differentiation and phylogeographic distinction between southern (TAS, VIC and NSW) and northern (QLD) Australian populations, indicating a current and / or historical restriction of geneflow. In addition, it is evident that northern populations are historically more recent, and were derived from a small number of southern eastern grey kangaroo founders. Phylogenetic comparisons between M. g. giganteus and M. g. tasmaniensis, indicated that the current taxonomic status of these subspecies should be revised as there was a lack of genetic differentiation between the populations sampled.
Mode of access: World Wide Web.
xv, 182 leaves ill
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Moody, Adrian John. "Mapping genetic resistance to infectious bursal disease." Thesis, University of Reading, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.326754.

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Duran, Alonso Maria Beatriz. "Genetic mapping of the rat agu gene." Thesis, University of Glasgow, 1997. http://theses.gla.ac.uk/39021/.

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In 1993, a mutant strain, AS/AGU arose spontaneously in an enclosed colony of the Albino Swiss (AS) strain of rat. AS/AGU animals exhibit a set of locomotor abnormalities. They display a general instability and whole body tremor, are slow at initiating movement, show reductions in purposeful action, and perform poorly at locomotor tests such as mid-air righting. L-dopa administration or fetal midbrain transplants reverse the majority of the symptoms, resembling the observations made on Parkinson's disease patients. These features make the AS/AGU strain a useful model for movement disorders due in significant part to failure of the dopaminergic transmission system. Crosses of AS/AGU to other laboratory rat strains point to a single recessive mutation with essentially complete penetrance (agu/agu) as the cause of the abnormal phenotype. There is no evidence of sex linkage or maternal inheritance. In the absence of any evidence of the function of the agu gene product, positional cloning of this locus was begun. The first step was the establishment of a genetic map location for the agu locus. A large series of microsatellite markers were analysed and used to identify which of the strains PVG, BN, and F344 differed to a greater extent from AS/AGU. Differences at 43%, 62% and 47% of the loci were recorded, respectively. BN and F344 were therefore selected as the reference strains in backcrosses to AS/AGU, in an attempt to maximise the number of informative markers which could be used to type the progeny.
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Books on the topic "Genetic mapping"

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Vizeacoumar, Franco Joseph, and Andrew Freywald, eds. Mapping Genetic Interactions. New York, NY: Springer US, 2021. http://dx.doi.org/10.1007/978-1-0716-1740-3.

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Ivar-Harry, Pawlowitzki, Edwards J. H, and Thompson E. A. 1949-, eds. Genetic mapping of disease genes. San Diego: Academic Press, 1997.

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Speed, Terry, and Michael S. Waterman, eds. Genetic Mapping and DNA Sequencing. New York, NY: Springer New York, 1996. http://dx.doi.org/10.1007/978-1-4612-0751-1.

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P, Speed T., and Waterman Michael S, eds. Genetic mapping and DNA sequencing. New York: Springer, 1996.

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Boopathi, N. Manikanda. Genetic Mapping and Marker Assisted Selection. India: Springer India, 2013. http://dx.doi.org/10.1007/978-81-322-0958-4.

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Boopathi, N. Manikanda. Genetic Mapping and Marker Assisted Selection. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-2949-8.

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Khalid, Meksem, and Kahl Günter, eds. The Handbook of plant genome mapping: Genetic and physical mapping. Weinheim: Wiley-VCH, 2005.

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1957-, Haines Jonathan L., and Pericak-Vance Margaret Ann, eds. Approaches to gene mapping in complex human diseases. New York: Wiley-Liss, 1998.

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1957-, Haines Jonathan L., and Pericak-Vance Margaret Ann, eds. Genetic analysis of complex diseases. 2nd ed. New York, NY: Wiley-Liss, 2006.

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de, Vienne D., ed. Molecular markers in plant genetics and biotechnology. Enfield, NH: Science Publishers, 2003.

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Book chapters on the topic "Genetic mapping"

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Schuster, Ivan. "Soybean Genetic Mapping." In Soybean Breeding, 253–74. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-57433-2_13.

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Gaspin, Christine, and Thomas Schiex. "Genetic algorithms for genetic mapping." In Lecture Notes in Computer Science, 145–55. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/bfb0026597.

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Evans, Glen A., and David L. McElligott. "Physical Mapping of Human Chromosomes." In Genetic Engineering, 269–78. Boston, MA: Springer US, 1992. http://dx.doi.org/10.1007/978-1-4615-3424-2_15.

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Rathore, Heena. "Genetic Algorithms." In Mapping Biological Systems to Network Systems, 97–106. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-29782-8_8.

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Michelmore, Richard W., Richard V. Kesseli, and Edward J. Ryder. "Genetic mapping in lettuce." In Advances in Cellular and Molecular Biology of Plants, 223–39. Dordrecht: Springer Netherlands, 1994. http://dx.doi.org/10.1007/978-94-011-1104-1_12.

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Knapp, Steven J., Simon T. Berry, and Loren H. Rieseberg. "Genetic mapping in sunflowers." In Advances in Cellular and Molecular Biology of Plants, 379–403. Dordrecht: Springer Netherlands, 2001. http://dx.doi.org/10.1007/978-94-015-9815-6_22.

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Coe, E. H. "Genetic Experiments and Mapping." In The Maize Handbook, 189–97. New York, NY: Springer New York, 1994. http://dx.doi.org/10.1007/978-1-4612-2694-9_20.

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Malhotra, Era Vaidya, and Madhvi Soni. "Markers and Genetic Mapping." In Strawberries, 141–59. Boca Raton, FL : CRC Press, Taylor & Francis Group, 2019.: CRC Press, 2019. http://dx.doi.org/10.1201/b21441-194.

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Beckmann, Jacques S. "Genetic Mapping, an Overview." In Computational Methods in Genome Research, 75–84. Boston, MA: Springer US, 1994. http://dx.doi.org/10.1007/978-1-4615-2451-9_6.

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Leitão, José Manuel. "Genetic Mapping in Pineapple." In Genetics and Genomics of Pineapple, 61–68. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-00614-3_5.

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Conference papers on the topic "Genetic mapping"

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Schwarz, Tobias, and Christian Hochberger. "Technology Mapping of Genetic Circuits." In ICCAD '22: IEEE/ACM International Conference on Computer-Aided Design. New York, NY, USA: ACM, 2022. http://dx.doi.org/10.1145/3508352.3549344.

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Moreno, Matthew Andres, Wolfgang Banzhaf, and Charles Ofria. "Learning an evolvable genotype-phenotype mapping." In GECCO '18: Genetic and Evolutionary Computation Conference. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3205455.3205597.

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Dunwei Gong and Xiaoyan Sun. "A modified contract mapping genetic algorithm." In Proceedings of the IEEE International Symposium on Industrial Electronics ISIE-02. IEEE, 2002. http://dx.doi.org/10.1109/isie.2002.1026092.

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Merelo, Juan J., and José-Mario García-Valdez. "Mapping evolutionary algorithms to a reactive, stateless architecture." In GECCO '18: Genetic and Evolutionary Computation Conference. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3205651.3208317.

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"COINCIDENCE BASED MAPPING EXTRACTION WITH GENETIC ALGORITHMS." In 3rd International Conference on Web Information Systems and Technologies. SciTePress - Science and and Technology Publications, 2007. http://dx.doi.org/10.5220/0001271901760183.

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Zhu, Qianyu, Yifei Yang, Haotian Li, Haichuan Yang, Baohang Zhang, and Shangce Gao. "Chaotic Mapping Genetic Algorithm with Multiple Strategies." In 2023 15th International Conference on Advanced Computational Intelligence (ICACI). IEEE, 2023. http://dx.doi.org/10.1109/icaci58115.2023.10146188.

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Siegel, Howard Jay, and Muthucumaru Meheswaran. "Mapping Tasks onto Heterogeneous Computing Systems." In Anais Estendidos do Simpósio Brasileiro de Arquitetura de Computadores e Processamento de Alto Desempenho. Sociedade Brasileira de Computação, 1997. http://dx.doi.org/10.5753/sbac-pad_estendido.1997.22647.

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The goal of this invited tutorial paper is to provide an overview of three current research efforts in heterogeneous computing that focus on methods for determining a mapping of an application onto a heterogeneous suite of machines. The first study involves a genetic-algorithm approach for mapping the subtasks of an application task onto the machines in a distributed heterogeneous system. This is a static compile-time approach that must be used off-line (prior to task execution) due to its long run time. The second topic is the high-level design of components of an intelligent operating system for mapping and dynamically remapping automatic target recognition tasks onto a heterogeneous parallel platform. The intelligent operating system uses a new technique for dynamically selecting new mappings on-line during task execution from among choices precomputed off-line. Last, some initial preliminary results from a new research project for designing a dynamic mapping heuristic that does not use precomputed mappings is described. This dynamic heuristic is fast and is suitable for operation during application execution. Future research directions are discussed for all three projects.
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Chapman, Colin D., Kazuhiro Saitou, and Mark J. Jakiela. "Genetic Algorithms As an Approach to Configuration and Topology Design." In ASME 1993 Design Technical Conferences. American Society of Mechanical Engineers, 1993. http://dx.doi.org/10.1115/detc1993-0338.

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Abstract The Genetic Algorithm, a search and optimization technique based on the theory of natural selection, is applied to problems of structural topology optimization. Given a structure’s boundary conditions and maximum allowable design domain, a discretized design representation is created. Populations of genetic algorithm “chromosomes” are then mapped into the design representation, creating potentially optimal structure topologies. Utilizing genetics-based operators such as crossover and mutation, generations of increasingly-desirable structure topologies are created. In this paper, the use of the genetic algorithm (GA) in structural topology optimization is presented. An overview of the genetic algorithm will describe the genetics-based representations and operators used in a typical genetic algorithm search. After defining topology optimization and its relation to the broader area of structural optimization, a review of previous research in GA-based and non-GA-based structural optimization is provided. The design representations, and methods for mapping genetic algorithm “chromosomes” into structure topology representations, are then detailed. Several examples of genetic algorithm-based structural topology optimization are provided: we address the optimization of beam cross-section topologies and cantilevered plate topologies, and we also investigate efficient techniques for using finite element analysis in a genetic algorithm-based search. Finally, a description of potential future work in genetic algorithm-based structural topology optimization is offered.
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Sapin, Emmanuel, Kenneth De Jong, and Amarda Shehu. "Mapping Multiple Minima in Protein Energy Landscapes with Evolutionary Algorithms." In GECCO '15: Genetic and Evolutionary Computation Conference. New York, NY, USA: ACM, 2015. http://dx.doi.org/10.1145/2739482.2768439.

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Fontaine, Matthew C., Scott Lee, L. B. Soros, Fernando De Mesentier Silva, Julian Togelius, and Amy K. Hoover. "Mapping hearthstone deck spaces through MAP-elites with sliding boundaries." In GECCO '19: Genetic and Evolutionary Computation Conference. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3321707.3321794.

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Reports on the topic "Genetic mapping"

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Williams, Rebecca L., and Amy Moser. Mapping Genetic Modifiers of Mammary Tumor Susceptibility. Fort Belvoir, VA: Defense Technical Information Center, August 2001. http://dx.doi.org/10.21236/ada398591.

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Moser, Amy R. Mapping Genetic Modifiers of Mammary Tumor Susceptibility. Fort Belvoir, VA: Defense Technical Information Center, August 2002. http://dx.doi.org/10.21236/ada413038.

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Moser, Amy R. Mapping Genetic Modifiers of Mammary Tumor Susceptibility. Fort Belvoir, VA: Defense Technical Information Center, November 2002. http://dx.doi.org/10.21236/ada417279.

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Belanger, Faith, Nativ Dudai, and Nurit Katzir. Genetic Linkage Mapping of Basil (Ocimum basilicum). United States Department of Agriculture, March 2010. http://dx.doi.org/10.32747/2010.7593385.bard.

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The ultimate goal of this project is to develop a genetic linkage map of basil (Ocimumbasilicum). We received 1 year of funding from BARD to conduct a feasibility study. Below is a summary of our study. During this year we evaluated the cultivars ‘Perrie’ and ‘Cardinal’ for DNA sequence polymorphisms using AFLPs and gene-based markers. We evaluated an F2 population for variation in production of volatile compounds. We also determined the nuclear DNA content of 8 species of Ocimum. All of this information will be useful in the future for genetic linkage mapping of basil.
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Zhang, Hongbin, Shahal Abbo, Weidong Chen, Amir Sherman, Dani Shtienberg, and Frederick Muehlbauer. Integrative Physical and Genetic Mapping of the Chickpea Genome for Fine Mapping and Analysis of Agronomic Traits. United States Department of Agriculture, March 2010. http://dx.doi.org/10.32747/2010.7592122.bard.

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Chickpea is the third most important pulse crop in the world and ranks first in the Middle East; however, it has been subjected to only limited research in modern genomics. In the first period of this project (US-3034-98R) we constructed two large-insert BAC and BIBAC libraries, developed 325 SSR markers and mapped QTLs controlling ascochyta blight resistance (ABR) and days to first flower (DTF). Nevertheless, the utilities of these tools and results in gene discovery and marker-assisted breeding are limited due to the absence of an essential platform. The goals of this period of the project were to use the resources and tools developed in the first period of the project to develop a BAC/BIBAC physical map for chickpea and using it to identify BAC/BIBACcontigs containing agronomic genes of interest, with an emphasis on ABR and DTF, and develop DNA markers suitable for marker-assisted breeding. Toward these goals, we proposed: 1) Fingerprint ~50,000 (10x) BACs from the BAC and BIBAC libraries, assemble the clones into a genome-wide BAC/BIBAC physical map, and integrate the BAC/BIBAC map with the existing chickpea genetic maps (Zhang, USA); 2) fine-map ABR and DTFQTLs and enhance molecular tools for chickpea genetics and breeding (Shahal, Sherman and DaniShtienberg, Israel; Chen and Muehlbauer; USA); and 3) integrate the BAC/BIBAC map with the existing chickpea genetic maps (Sherman, Israel; Zhang and Chen, USA). For these objectives, a total of $460,000 was requested originally, but a total of $300,000 was awarded to the project. We first developed two new BAC and BIBAC libraries, Chickpea-CME and Chickpea- CHV. The chickpea-CMEBAC library contains 22,272 clones, with an average insert size of 130 kb and equivalent to 4.0 fold of the chickpea genome. The chickpea-CHVBIBAC library contains 38,400 clones, with an average insert size of 140 kb and equivalent to 7.5 fold of the chickpea genome. The two new libraries (11.5 x), along with the two BAC (Chickpea-CHI) and BIBAC (Chickpea-CBV) libraries (7.1 x) constructed in the first period of the project, provide libraries essential for chickpea genome physical mapping and many other genomics researches. Using these four libraries we then developed the proposed BAC/BIBAC physical map of chickpea. A total of 67,584 clones were fingerprinted, and 64,211 (~11.6 x) of the fingerprints validated and used in the physical map assembly. The physical map consists of 1,945 BAC/BIBACcontigs, with each containing an average of 39.2 clones and having an average physical length of 559 kb. The contigs collectively span ~1,088 Mb, being 1.49 fold of the 740- Mb chickpea genome. Third, we integrated the physical map with the two existing chickpea genetic maps using a total of 172 (124 + 48) SSR markers. Fourth, we identified tightly linked markers for ABR-QTL1, increased marker density at ABR-QTL2 and studied the genetic basis of resistance to pod abortion, a major problem in the east Mediterranean, caused by heat stress. Finally, we, using the integrated map, isolated the BAC/BIBACcontigs containing or closely linked to QTL4.1, QTL4.2 and QTL8 for ABR and QTL8 for DTF. The integrated BAC/BIBAC map resulted from the project will provide a powerful platform and tools essential for many aspects of advanced genomics and genetics research of this crop and related species. These includes, but are not limited to, targeted development of SNP, InDel and SSR markers, high-resolution mapping of the chickpea genome and its agronomic genes and QTLs, sequencing and decoding of all genes of the genome using the next-generation sequencing technology, and comparative genome analysis of chickpea versus other legumes. The DNA markers and BAC/BIBACcontigs containing or closely linked to ABR and DTF provide essential tools to develop SSR and SNP markers well-suited for marker-assisted breeding of the traits and clone their corresponding genes. The development of the tools and knowledge will thus promote enhanced and substantial genetic improvement of the crop and related legumes.
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Zhang, Hongbin B., David J. Bonfil, and Shahal Abbo. Genomics Tools for Legume Agronomic Gene Mapping and Cloning, and Genome Analysis: Chickpea as a Model. United States Department of Agriculture, March 2003. http://dx.doi.org/10.32747/2003.7586464.bard.

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The goals of this project were to develop essential genomic tools for modern chickpea genetics and genomics research, map the genes and quantitative traits of importance to chickpea production and generate DNA markers that are well-suited for enhanced chickpea germplasm analysis and breeding. To achieve these research goals, we proposed the following research objectives in this period of the project: 1) Develop an ordered BAC library with an average insert size of 150 - 200 kb (USA); 2) Develop 300 simple sequence repeat (SSR) markers with an aid of the BAC library (USA); 3) Develop SSR marker tags for Ascochyta response, flowering date and grain weight (USA); 4) Develop a molecular genetic map consisting of at least 200 SSR markers (Israel and USA); 5) Map genes and QTLs most important to chickpea production in the U.S. and Israel: Ascochyta response, flowering and seed set date, grain weight, and grain yield under extreme dryland conditions (Israel); and 6) Determine the genetic correlation between the above four traits (Israel). Chickpea is the third most important pulse crop in the world and ranks the first in the Middle East. Chickpea seeds are a good source of plant protein (12.4-31.5%) and carbohydrates (52.4-70.9%). Although it has been demonstrated in other major crops that the modern genetics and genomics research is essential to enhance our capacity for crop genetic improvement and breeding, little work was pursued in these research areas for chickpea. It was absent in resources, tools and infrastructure that are essential for chickpea genomics and modern genetics research. For instance, there were no large-insert BAC and BIBAC libraries, no sufficient and user- friendly DNA markers, and no intraspecific genetic map. Grain sizes, flowering time and Ascochyta response are three main constraints to chickpea production in drylands. Combination of large seeds, early flowering time and Ascochyta blight resistance is desirable and of significance for further genetic improvement of chickpea. However, it was unknown how many genes and/or loci contribute to each of the traits and what correlations occur among them, making breeders difficult to combine these desirable traits. In this period of the project, we developed the resources, tools and infrastructure that are essential for chickpea genomics and modern genetics research. In particular, we constructed the proposed large-insert BAC library and an additional plant-transformation-competent BIBAC library from an Israeli advanced chickpea cultivar, Hadas. The BAC library contains 30,720 clones and has an average insert size of 151 kb, equivalent to 6.3 x chickpea haploid genomes. The BIBAC library contains 18,432 clones and has an average insert size of 135 kb, equivalent to 3.4 x chickpea haploid genomes. The combined libraries contain 49,152 clones, equivalent to 10.7 x chickpea haploid genomes. We identified all SSR loci-containing clones from the chickpea BAC library, generated sequences for 536 SSR loci from a part of the SSR-containing BACs and developed 310 new SSR markers. From the new SSR markers and selected existing SSR markers, we developed a SSR marker-based molecular genetic map of the chickpea genome. The BAC and BIBAC libraries, SSR markers and the molecular genetic map have provided essential resources and tools for modern genetic and genomic analyses of the chickpea genome. Using the SSR markers and genetic map, we mapped the genes and loci for flowering time and Ascochyta responses; one major QTL and a few minor QTLs have been identified for Ascochyta response and one major QTL has been identified for flowering time. The genetic correlations between flowering time, grain weight and Ascochyta response have been established. These results have provided essential tools and knowledge for effective manipulation and enhanced breeding of the traits in chickpea.
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Herman, Gail E. Comprehensive Clinical Phenotyping & Genetic Mapping for the Discovery of Autism Susceptibility Genes. Fort Belvoir, VA: Defense Technical Information Center, December 2012. http://dx.doi.org/10.21236/ada607156.

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King, Mary-Claire, and Warren Winkelstein Jr. Genetic Alterations in Familial Breast Cancer: Mapping and Cloning Genes Other than BRCA1. Fort Belvoir, VA: Defense Technical Information Center, September 1996. http://dx.doi.org/10.21236/ada328004.

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Herman, Gail E., Emily Hansen, Wolfgang Sadee, Ray Smith, Mary Beth Dewitt, and Eric Seiber. Comprehensive Clinical Phenotyping and Genetic Mapping for the Discovery of Autism Susceptibility Genes. Fort Belvoir, VA: Defense Technical Information Center, March 2013. http://dx.doi.org/10.21236/ada585946.

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King, Mary-Claire. Genetic Alterations in Familial Breast Cancer: Mapping and Cloning Genes Other Than BRCAl. Fort Belvoir, VA: Defense Technical Information Center, September 1997. http://dx.doi.org/10.21236/ada346685.

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