Academic literature on the topic 'Diseases - genetic mapping'
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Journal articles on the topic "Diseases - genetic mapping"
Smith, M. J., and P. N. Goodfellow. "Gene mapping and genetic diseases." Current Opinion in Cell Biology 1, no. 3 (June 1989): 460–65. http://dx.doi.org/10.1016/0955-0674(89)90006-9.
Full textMynett-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.
Full textAfanasenko, Olga S., and Kapiton V. Novozhilov. "Problems of rational use of genetic resources of plants resistance to diseases." Ecological genetics 7, no. 2 (June 15, 2009): 38–43. http://dx.doi.org/10.17816/ecogen7238-43.
Full textSuarez-Pajes, Eva, Ana Díaz-de Usera, Itahisa Marcelino-Rodríguez, Beatriz Guillen-Guio, and Carlos Flores. "Genetic Ancestry Inference and Its Application for the Genetic Mapping of Human Diseases." International Journal of Molecular Sciences 22, no. 13 (June 28, 2021): 6962. http://dx.doi.org/10.3390/ijms22136962.
Full textOmmen, G. J. B. van, and P. L. Pearson. "Long-range mapping in the research and diagnosis of genetic disease." Genome 31, no. 2 (January 15, 1989): 730–36. http://dx.doi.org/10.1139/g89-131.
Full textCasals, Ferran, Youssef Idaghdour, Julie Hussin, and Philip Awadalla. "Next-generation sequencing approaches for genetic mapping of complex diseases." Journal of Neuroimmunology 248, no. 1-2 (July 2012): 10–22. http://dx.doi.org/10.1016/j.jneuroim.2011.12.017.
Full textBulayeva, Kazima B., Suzanne M. Leal, Tatiana A. Pavlova, Ruslan M. Kurbanov, Stephen J. Glatt, Oleg A. Bulayev, and Ming T. Tsuang. "Mapping genes of complex psychiatric diseases in Daghestan genetic isolates." American Journal of Medical Genetics Part B: Neuropsychiatric Genetics 132B, no. 1 (2004): 76–84. http://dx.doi.org/10.1002/ajmg.b.30073.
Full textHouwing-Duistermaat, Jeanine J., and Robert C. Elston. "Linkage Disequilibrium Mapping of Complex Genetic Diseases Using Multiallelic Markers." Genetic Epidemiology 21, S1 (2001): S576—S581. http://dx.doi.org/10.1002/gepi.2001.21.s1.s576.
Full textShulman, Eldad David, and Ran Elkon. "Genetic mapping of developmental trajectories for complex traits and diseases." Computational and Structural Biotechnology Journal 19 (2021): 3458–69. http://dx.doi.org/10.1016/j.csbj.2021.05.055.
Full textDominiczak, AF, and K. Lindpaintner. "Genetics of Hypertension: A Current Appraisal." Physiology 9, no. 6 (December 1, 1994): 246–51. http://dx.doi.org/10.1152/physiologyonline.1994.9.6.246.
Full textDissertations / Theses on the topic "Diseases - genetic mapping"
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.
Full textEinarsdóttir, 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.
Full textGuo, 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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O'Connell, Jeffrey R. "Algorithms for linkage analysis, error detection and haplotyping in pedigrees." Thesis, University of Oxford, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.325622.
Full textProkunina, Ludmila. "Strategies for Identification of Susceptibility Genes in Complex Autoimmune Diseases." Doctoral thesis, Uppsala : Acta Universitatis Upsaliensis : Univ.-bibl. [distributör], 2004. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-4138.
Full textStanding, A. S. I. "Genetic mapping for the discovery of novel genes causing autoinflammatory diseases." Thesis, University College London (University of London), 2014. http://discovery.ucl.ac.uk/1417187/.
Full textRamburan, Viresh Premraj. "Genetic mapping of adult plant stripe rust resistance in the wheat cultivar Kariega." Thesis, Stellenbosch : Stellenbosch University, 2003. http://hdl.handle.net/10019.1/53438.
Full textENGLISH ABSTRACT: Stripe (yellow) rust of wheat, caused by Puccinia striiformis f.sp. tritici, was first detected as a single introduction into South Africa in 1996. Two additional pathotypes have since been identified. Control of the disease may be achieved by use of genetic adult plant resistance (APR) as is present in the local cultivar 'Kariega'. The aim of this project was to understand the genetic basis of the APR in 'Kariega' to facilitate breeding of new varieties with genetic resistance to stripe rust. A partial linkage map of a 'Kariega X Avocet S' doubled haploid population covering all 21 wheat chromosomes was generated using 208 DNA markers, viz, 62 SSR, 133 AFLP, 3 RGA and 10 SRAP markers, and 4 alternative loci. The different marker techniques detected varying polymorphism, viz, overall SSR: 46%, AFLP: 7%, SRAP: 6% and RGA: 9%, and the markers produced low levels of missing data (4%) and segregation distortion (5%). A significant feature of the linkage map was the low polymorphism found in the D genome, viz, 19% of all mapped DNA markers, 11% of all AFLP markers and 30% of the total genome map distance. A region exhibiting significant segregation distortion was mapped to chromosome 4A and a seedling resistance gene for stem rust (Puccinia graminis f.sp . tritici), Sr26, mapped to chromosome 6A close to three SSR markers. The leaf tip necrosis gene, Ltn, which was also segregating in the population, mapped to chromosome 7D. Protocols for SRAP and RGA were optimised, and SRAP marker use in wheat genetic linkage studies is reported for the first time. The linkage map was used together with growth chamber and replicated field disease scores for QTL mapping. Chromosomes showing statistically significant QTL effects were then targeted with supplementary SSR markers for higher resolution mapping. The quality of disease resistance phenotypic data was confirmed by correlation analysis between the different scorers for reaction type (0.799±0.023) and for transformed percentage leaf area infected (0.942±0.007). Major QTL were consistently identified on chromosome 7D (explaining some 25-48% of the variation) and on chromosome 2B (21-46%) using transformed percentage leaf area infected and transformed reaction type scores (early and final) with interval mapping and modified interval mapping techniques. Both chromosomal regions have previously been identified in other studies and the 7D QTL is thought likely to be the previously mapped APR gene Yr 18. Minor QTL were identified on chromosomes lA and 4A with the QTL on 4A being more prominent at the early field scoring for both score types. A QTL evidently originating from 'Avocet S' was detected under growth chamber conditions but was not detected in the field, suggesting genotype-environment interaction and highlighting the need for modifications of growth chamber conditions to better simulate conditions in the field. The genetic basis of the APR to stripe rust exhibited by 'Kariega' was established by mapping of QTL controlling this trait. The linkage map constructed will be a valuable resource for future genetic studies and provides a facility for mapping other polymorphic traits in the parents of this population with a considerable saving in costs.
AFRIKAANSE OPSOMMING: Streep of geelroes van koring word veroorsaak deur Puccinia striiformis f. sp tritici, en is die eerste keer in 1996 in Suid-Afrika na introduksie van 'n enkele patotipe waargeneem. Twee verdere patotipes is sedertdien in Suid-Afrika gei"dentifiseer. Beheer van die siekte word veral moontlik gemaak deur die gebruik van genetiese volwasseplantweerstand soos gei"dentifiseer in die plaaslike kultivar 'Kariega'. Die doel van hierdie studie was om die genetiese grondslag van die streeproesweerstand te ontrafel ten einde die teling van nuwe bestande kultivars moontlik te maak. 'n Verdubbelde haplo1ede populasie uit die kruising 'Kariega X Avocet S' is aangewend om 'n gedeeltelike koppelingskaart vir die volle stel van 21 koring chromosome saam te stel. Die kaart het uit 208 DNA merkers, nl., 62 SSR, 133 AFLP, 3 RGA, 10 SRAP merkers en 4 ander lokusse bestaan. Totale polimorfisme wat deur die verskillende merkersisteme opgespoor is, was as volg: SSR: 46%, RGA: 9%, AFLP: 7% en SRAP: 6%. Die mate van ontbrekende data was gering (4%) asook die mate van segregasie distorsie (5%) van 'n enkele geval wat op chromosoom 4A gekarteer is. 'n Prominente kenmerk van die koppelingskaart is die relatiewe gebrek aan polimorfiese merkers op die D-genoom, nl., slegs 19% van alle DNA merkers en 11% van alle AFLP merkers wat slegs 30% van die totale genoom kaartafstand bestaan het. Die stamroes (Puccinia graminis f. sp. tritici) saailingweerstandsgeen, Sr26, karteer op chromosoom 6A naby drie SSR merkers. Die geen vir blaartipnekrose, Ltn, karteer op chromosoom 7D. Protokolle vir SRAP en RGA merkers is ge-optimiseer en gebruik van SRAP merkers in koppelings-analise word vir die eerste keer in koring gerapporteer. Die koppelingskaart is in kombinasie met groeikamerdata en gerepliseerde veldproefdata gebruik om die gene (QTL) vir volwasseplant streeproesweerstand te karteer. Chromosome met statisties betekenisvolle QTL is met aanvullende SSR merkers geteiken om die resolusie van kartering verder te verhoog. Die kwaliteit van fenotipiese data, soos in die proewe aangeteken, is bevestig deur korrelasies te bereken tussen lesings geneem deur onafhanklike plantpataloe (0.799 ± 0.023 vir reaksietipe en 0.942 ± 0.007 vir getransformeerde persentasie blaaroppervlakte besmet). Hoofeffek QTL vir die twee maatstawwe van weerstand is deur middel van die metodes van interval QTL kartering en gemodifiseerde interval QTL kartering konsekwent op chromosome 7D (25-48% van variasie verklaar) en 2B (21-46% van variasie verklaar) ge"identifiseer. In vorige studies is aangetoon dat beide chromosome 7D en 2B QTL vir volwasseplant streeproesweerstand dra. Die 7D QTL is waarskynlik die weerstandsgeen, Yr 18. QTL met klein effekte op weerstand is op chromosome lA en 4A ge"identifiseer. Die effek van laasgenoemde geen was meer prominent in die velddata in die vroee datum van weerstandsbeoordeling. Een QTL, afkomstig van 'Avocet S', is slegs onder groeikamertoestande identifiseerbaar. Dit dui op moontlike genotipe-omgewing wisselwerking en beklemtoon die noodsaaklikheid om aanpassings te maak in groeikamertoestande vir beter simulasie van veldproeftoestande. Die genetiese grondslag van volwasseplantweerstand teen streeproes in die kultivar 'Kariega' is deur QTL kartering bepaal. Die 'Kariega X Avocet S' koppelingskaart kan as 'n waardevolle basis dien vir toekomstige genetiese ontledings van ander polimorfiese kenmerke in die populasie.
Bell, Martyn V. "A physical analysis of the fragile X (FRAXA) region in man." Thesis, University of Oxford, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.302861.
Full textSchramm, Heather Elizabeth. "Development of mapping by admixture linkage disequilibrium for understanding human complex genetic diseases /." For electronic version search Digital dissertations database. Restricted to UC campuses. Access is free to UC campus dissertations, 2003. http://uclibs.org/PID/11984.
Full textBierman, Anandi. "Mapping and survey sequencing of Dn resistance genes in Triticum aestivum L." Thesis, Stellenbosch : Stellenbosch University, 2015. http://hdl.handle.net/10019.1/96912.
Full textENGLISH ABSTRACT : Diuraphis noxia Kurdjumov (Russian Wheat Aphid; RWA) is a pest of wheat and barley that has spread from its home range in the fertile crescent to most wheat producing countries except Australia. Since its first introduction to South Africa and the USA in the late 20th century, breeding programs for wheat phenotypes resistant to the aphid were put in place. Conventional breeding practices rely on phenotypic screening to verify traits carried by offspring and genetic tools such as marker assisted selection (MAS) have greatly aided this process in speed and accuracy. The size and complexity of the wheat genome, its allopolyploid nature and repetitive elements have, however, posed a challenge to studies on the genetics of this cereal crop. Many studies have focused on chromosome 3B which is the largest of the wheat chromosomes and easily separated from the redundant genomic background by techniques such as flow cytometry. The similarity in size of the remaining chromosomes however, limits the application of flow cytometry to their isolation. Databases such as Grain-Genes (http://wheat.pw.usda.gov/GG2/index.shtml) house marker data from various mapping studies for all wheat chromosomes and in 2014 the International Wheat Genome Sequencing Consortium (IWGSC) completed the draft genome sequence of wheat categorized by chromosome. Sources of resistance (Dn resistance genes) against RWA are located on chromosome 7D. but despite the marker and sequence data available currently, mapping studies specific for the Dn resistance genes are few. Additionally, sequence data available is derived from cultivars susceptible to RWA and is not comprehensively annotated and assembled in many cases. In this study, we demonstrate a novel, combined approach to isolate and characterize the Dn resistance genes through the use of a genetic map constructed from Amplified Fragment Length Polymorphism (AFLP), Expressed Sequence Tag (EST) and microsatellite markers and a physical map constructed from Next Generation Sequencing (NGS) data of ditelosomic chromosomes (7DS and 7DL) isolated by microdissection on the PALM microbeam system. A 122.8 cM genetic map was produced from 38 polymorphic AFLP markers and two ESTs with the microsatellite Xgwm111 as anchor to related genetic maps. Through comparison to maps available on GrainGenes the location of the Dn1 resistance gene was narrowed down to a deletion bin (7DS5-0.36-0.62) on the short arm of chromosome 7D with an AFLP marker (E-ACT/M-CTG_0270.84) mapping closely at 3.5 cM and two ESTs mapping at 15.3 cM and 15.9 cM from Dn1. Isolation of individual chromosome arms 7DS and 7DL using the PALM Microbeam system allowed sequencing of the chromosome without the redundancy of the remainder of the hexaploid genome. Through isolating the chromosome arms in this way, a >80-fold reduction in genome size was achieved as well as a major reduction in repetitive elements. Analysis of the sequencing data confirmed that 7DL is the physically shorter arm of the chromosome though it contains the majority of protein coding sequences.
AFRIKAANSE OPSOMMING : Diuraphis noxia Kurdjumov (Russiese koring-luis; RWA) is « pes wat op koring en gars voorkom. Die pes het vanaf sy tuiste in die midde Ooste na meeste koringproduserende lande behalwe Australië versprei. Sedert die eerste bekendstelling van RWA in Suid Afrika en die VSA in die vroeë 20ste eeu is teelprogramme ten gunste van koring lyne met weerstand teen RWA begin. Tradisionele teelprogramme maak op fisieise observasie van die fenotipe staat om te verifieer of plante in die nageslag die gewenste eienskap dra. Genetiese metodes soos merkerondersteunde seleksie (MAS) versnel hierdie selekteringsproses grootliks. Die grootte en kompleksiteit van die koring genoom asook die polyploïde en herhalende natuur daarvan is « groot hindernis vir genetiese studies van hierdie graangewas. Baie studies het op chromosoom 3B gefokus wat die grootste van die koring chromosome is en dus maklik vanaf die res van die oorbodige genomiese agtergond deur tegnieke soos vloeisitometrie geskei word. Die ooreenkoms in grootte tussen die res van die chromosome bemoeilik die toepassing van vloeisitometrie om hulle te isoleer. Databasisse soos GrainGenes (http://wheat.pw.usda.gov/GG2/index.shtml) bevat merker data vanaf verskeie karterings-studies vir al die chromosome en in 2014 het die "International Wheat Genome Sequencing Consortium"(IWGSC) die voorlopige basispaarvolgorde van die koring genoom bekendgestel, gekategoriseer volgens chromosoom. Weerstandsbronne (Dn weerstandsgene) teen RWA kom meestal op chromosoom 7D voor. Ten spyte van merker en basispaarvolgorde data tans beskikbaar is karterings-studies spesifiek tot die Dn gene skaars en basispaarvolgorde data is vanaf kultivars afkomstig wat nie weerstandbiedend teen RWA is nie en waarvan die annotasie en samestelling baie keer nie goed is nie. In hierdie studie demonstreer ons « nuwe, gekombineerde aanslag om die Dn weerstandsgene te isoleer en karakteriseer deur van « genetiese kaart opgestel met "Amplified Fragment Length Polymorphism"(AFLP), "Expressed Sequence Tag"(EST) en mikrosatelliet merkers asook « fisiese kaart saamgestel deur die volgende-generasiebasispaarvolgordebepaling van ditelosomiese chromosome (7DS en 7DL) geïsoleer deur mikrodisseksie met die "PALM Microbeam"sisteem gebruik te maak. « Genetiese kaart van 122.8 cM was met 38 polimorfiese AFLP merkers en twee EST merkers geskep. Die mikrosatelliet, Xgwm111, is ook ingesluit en het as anker vir verwante genetiese-kaarte gedien. Deur vergelyking met genetiese-kaarte op GrainGenes is die posisie van die Dn1 weerstandsgeen vernou na « delesie bin (7DS5-0.36-0.62) op die kort arm van chromosoom 7D met « AFLP merker (EACT/ M-CTG_0270.84) wat ongeveer 3.5 cM vanaf die geen karteer. Die twee EST merkers is 15.3 cM en 15.9 cM vanaf die geen gekarteer. Isolering van die individuele chromosoom arms, 7DS en 7DL, deur van die "PALM Microbeam"sisteem gebruik te maak het basispaarvolgordebepaling van die chromosoom toegelaat sonder die oortolligheid van die res van die hexaploïde genoom. Deur die chromosoom so te isoleer is « >80-maal verkleining in genoom grootte bereik insluitend « groot reduksie in herhalende elemente. Analise van die data vanaf basispaarvolgordebepaling het bevestig dat chromosoom 7D die fisiese kleiner chromosoom is maar dat dit die meerderheid van proteïn koderende basispaarvolgordes bevat.
Books on the topic "Diseases - genetic mapping"
S, Rajadhyaksha Medha, ed. New biology and genetic diseases. New Delhi: Oxford University Press, 1999.
Find full text1939-, Read Andrew P., ed. Molecular basis of inherited disease. 2nd ed. Oxford: IRL Press at Oxford University Press, 1992.
Find full textDavies, K. E. Molecular basis of inherited disease. Oxford: IRL Press, 1988.
Find full textMastro, Richard Giulio Del. The human genome: Mapping the X-chromosome and the molecular analysis of selected genetic diseases. Birmingham: University of Birmingham, 1991.
Find full textE, Lindsten Jan, Pettersson Ulf, Nobelstiftelsen, and Alfred Nobel's Björkborn Foundation, eds. Etiology of human disease at the DNA level. New York: Raven Press, 1991.
Find full text1950-, Waldholz Michael, ed. Genome: The story of the most astonishing scientific adventure of our time--the attempt to map all the genes in the human body. New York, N.Y: Simon and Schuster, 1990.
Find full textBishop, Jerry E. Genome: The story of the most astonishing scientific adventure of our time--the attempt to map all the genes in the human body. New York, N.Y: Simon and Schuster, 1990.
Find full textBishop, Jerry E. Genome: The story of the most astonishing scientific adventure of our time, the attempt to map all the genes in the human body. New York: Open Road Integrated Media, 2014.
Find full textWexler, Alice. Mapping fate: A memoir of family, risk, and genetic research. Berkeley: University of California Press, 1995.
Find full textMapping fate: A memoir of family, risk, and genetic research. New York: Times Books, 1995.
Find full textBook chapters on the topic "Diseases - genetic mapping"
Fowler, Steven J., Larry A. Chinitz, and Silvia G. Priori. "Role of Mapping and Ablation in Genetic Diseases: Long QT Syndrome and Catecholaminergic Polymorphic Ventricular Tachycardia." In Cardiac Mapping, 644–55. Oxford, UK: Wiley-Blackwell, 2012. http://dx.doi.org/10.1002/9781118481585.ch59.
Full textBulayeva, Kazima, Oleg Bulayev, and Stephen Glatt. "Selection of Populations for Mapping Genes of Complex Diseases." In Genomic Architecture of Schizophrenia Across Diverse Genetic Isolates, 37–70. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-31964-3_3.
Full textCollins, Andy. "Mapping Genes for Common Diseases: Statistical Planning, Power, Efficiency and Informatics." In Molecular Genetic Epidemiology — A Laboratory Perspective, 1–26. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/978-3-642-56207-5_1.
Full textLittink, Karin W., Anneke I. den Hollander, Frans P. M. Cremers, and Rob W. J. Collin. "The Power of Homozygosity Mapping: Discovery of New Genetic Defects in Patients with Retinal Dystrophy." In Retinal Degenerative Diseases, 345–51. Boston, MA: Springer US, 2011. http://dx.doi.org/10.1007/978-1-4614-0631-0_45.
Full textAli, Jauhar, Madonna Dela Paz, and Christian John Robiso. "Advances in Two-Line Heterosis Breeding in Rice via the Temperature-Sensitive Genetic Male Sterility System." In Rice Improvement, 99–145. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-66530-2_4.
Full textTsai, Siu Mui, L. E. A. Camargo, R. L. Boscariol, A. A. Souza, D. H. Moon, A. V. O. Figueira, and P. Gepts. "Genetic Linkage Mapping and Location of Genomic Regions Associated with Nodulation and Bacterial Diseases in Phaseolus vulgaris L." In Nitrogen Fixation: From Molecules to Crop Productivity, 317–18. Dordrecht: Springer Netherlands, 2000. http://dx.doi.org/10.1007/0-306-47615-0_170.
Full textBlank, R. D., G. R. Campbell, M. Pollak, and P. D’Eustachio. "Bayesian Multilocus Linkage Mapping." In Genetics of Immunological Diseases, 25–32. Berlin, Heidelberg: Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/978-3-642-50059-6_4.
Full textKeats, Bronya. "Interference, Heterogeneity and Disease Gene Mapping." In Genetic Mapping and DNA Sequencing, 39–48. New York, NY: Springer New York, 1996. http://dx.doi.org/10.1007/978-1-4612-0751-1_3.
Full textWahlström, Jan, Rolf Axelsson, and Tonnie Johannesson. "Chromosome Aberrations as Tools for Gene Mapping." In Genetics of Neuropsychiatric Diseases, 59–68. London: Macmillan Education UK, 1989. http://dx.doi.org/10.1007/978-1-349-10729-2_6.
Full textBrown, S. D. M., N. Brockdorff, J. S. Cavanna, E. M. C. Fisher, A. J. Greenfield, M. F. Lyon, and J. Nasir. "The Long-Range Mapping of Mammalian Chromosomes." In Genetics of Immunological Diseases, 3–12. Berlin, Heidelberg: Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/978-3-642-50059-6_1.
Full textConference papers on the topic "Diseases - genetic mapping"
Santos dos Anjos, Julio Cesar, Bruno Reckziegel Filho, Junior F. Barros, Raffael B. Schemmer, Claudio Geyer, and Ursula Matte. "Genetic Mapping of Diseases through Big Data Techniques." In 17th International Conference on Enterprise Information Systems. SCITEPRESS - Science and and Technology Publications, 2015. http://dx.doi.org/10.5220/0005365402790286.
Full textOliveira, Jorge, Rute Pereira, Rosário Santos, and Mário Sousa. "Homozygosity Mapping using Whole-Exome Sequencing: A Valuable Approach for Pathogenic Variant Identification in Genetic Diseases." In 8th International Conference on Bioinformatics Models, Methods and Algorithms. SCITEPRESS - Science and Technology Publications, 2017. http://dx.doi.org/10.5220/0006248502100216.
Full textBenway, C., P. Sakornsakolpat, J. Ross, B. D. Hobbs, M. H. Cho, and E. K. Silverman. "Genome-Wide Association Study of Parametric Response Mapping in the COPDGene Study Dissects Genetic Contributions to Emphysema and Functional Small Airway Disease." In American Thoracic Society 2019 International Conference, May 17-22, 2019 - Dallas, TX. American Thoracic Society, 2019. http://dx.doi.org/10.1164/ajrccm-conference.2019.199.1_meetingabstracts.a6091.
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