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Showing 1 to 12 of 36 entries
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[Genetic diversity and genetic differentiation of Rhododendron concinnum wild populations in Qinling Mountains of Northwest China: an AFLP analysis].

Ying yong sheng tai xue bao = The journal of applied ecology

Zhao B, Xu M, Si GC, Li HH, Zhang YL.
PMID: 23431779
Ying Yong Sheng Tai Xue Bao. 2012 Nov;23(11):2983-90.

By using amplified fragment length polymorphism (AFLP) technique, an investigation was made on the genetic diversity and genetic differentiation of seven wild populations of Rhododendron concinnum in Qinling Mountains of Northwest China. A total of 182 amplification products were...

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Zhao B, Xu M, Si GC, et al. [Genetic diversity and genetic differentiation of Rhododendron concinnum wild populations in Qinling Mountains of Northwest China: an AFLP analysis]. Ying Yong Sheng Tai Xue Bao. 2012;23(11):2983-90
Zhao, B., Xu, M., Si, G. C., Li, H. H., & Zhang, Y. L. (2012). [Genetic diversity and genetic differentiation of Rhododendron concinnum wild populations in Qinling Mountains of Northwest China: an AFLP analysis]. Ying yong sheng tai xue bao = The journal of applied ecology, 23(11), 2983-90.
Zhao, Bing, et al. "[Genetic diversity and genetic differentiation of Rhododendron concinnum wild populations in Qinling Mountains of Northwest China: an AFLP analysis]." Ying yong sheng tai xue bao = The journal of applied ecology vol. 23,11 (2012): 2983-90.
Zhao B, Xu M, Si GC, Li HH, Zhang YL. [Genetic diversity and genetic differentiation of Rhododendron concinnum wild populations in Qinling Mountains of Northwest China: an AFLP analysis]. Ying Yong Sheng Tai Xue Bao. 2012 Nov;23(11):2983-90. Chinese. PMID: 23431779.
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Finding invisible quantitative trait loci with missing data.

Plant biotechnology journal

Gabur I, Chawla HS, Liu X, Kumar V, Faure S, von Tiedemann A, Jestin C, Dryzska E, Volkmann S, Breuer F, Delourme R, Snowdon R, Obermeier C.
PMID: 29729219
Plant Biotechnol J. 2018 Dec;16(12):2102-2112. doi: 10.1111/pbi.12942. Epub 2018 May 28.

Evolutionary processes during plant polyploidization and speciation have led to extensive presence-absence variation (PAV) in crop genomes, and there is increasing evidence that PAV associates with important traits. Today, high-resolution genetic analysis in major crops frequently implements simple, cost-effective,...

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Gabur I, Chawla HS, Liu X, et al. Finding invisible quantitative trait loci with missing data. Plant Biotechnol J. 2018;16(12):2102-2112doi: 10.1111/pbi.12942.
Gabur, I., Chawla, H. S., Liu, X., Kumar, V., Faure, S., von Tiedemann, A., Jestin, C., Dryzska, E., Volkmann, S., Breuer, F., Delourme, R., Snowdon, R., & Obermeier, C. (2018). Finding invisible quantitative trait loci with missing data. Plant biotechnology journal, 16(12), 2102-2112. https://doi.org/10.1111/pbi.12942
Gabur, Iulian, et al. "Finding invisible quantitative trait loci with missing data." Plant biotechnology journal vol. 16,12 (2018): 2102-2112. doi: https://doi.org/10.1111/pbi.12942
Gabur I, Chawla HS, Liu X, Kumar V, Faure S, von Tiedemann A, Jestin C, Dryzska E, Volkmann S, Breuer F, Delourme R, Snowdon R, Obermeier C. Finding invisible quantitative trait loci with missing data. Plant Biotechnol J. 2018 Dec;16(12):2102-2112. doi: 10.1111/pbi.12942. Epub 2018 May 28. PMID: 29729219; PMCID: PMC6230954.
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Genetically modulated educational attainment and coronary disease risk.

European heart journal

Zeng L, Ntalla I, Kessler T, Kastrati A, Erdmann J, Danesh J, Watkins H, Samani NJ, Deloukas P, Schunkert H.
PMID: 31170283
Eur Heart J. 2019 Aug 01;40(29):2413-2420. doi: 10.1093/eurheartj/ehz328.

AIMS: Genetic disposition and lifestyle factors are understood as independent components underlying the risk of multiple diseases. In this study, we aim to investigate the interplay between genetics, educational attainment-an important denominator of lifestyle-and coronary artery disease (CAD) risk.METHODS...

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Zeng L, Ntalla I, Kessler T, et al. Genetically modulated educational attainment and coronary disease risk. Eur Heart J. 2019;40(29):2413-2420doi: 10.1093/eurheartj/ehz328.
Zeng, L., Ntalla, I., Kessler, T., Kastrati, A., Erdmann, J., Danesh, J., Watkins, H., Samani, N. J., Deloukas, P., & Schunkert, H. (2019). Genetically modulated educational attainment and coronary disease risk. European heart journal, 40(29), 2413-2420. https://doi.org/10.1093/eurheartj/ehz328
Zeng, Lingyao, et al. "Genetically modulated educational attainment and coronary disease risk." European heart journal vol. 40,29 (2019): 2413-2420. doi: https://doi.org/10.1093/eurheartj/ehz328
Zeng L, Ntalla I, Kessler T, Kastrati A, Erdmann J, Danesh J, Watkins H, Samani NJ, Deloukas P, Schunkert H. Genetically modulated educational attainment and coronary disease risk. Eur Heart J. 2019 Aug 01;40(29):2413-2420. doi: 10.1093/eurheartj/ehz328. PMID: 31170283; PMCID: PMC6669407.
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Acute Generalized Exanthematous Pustulosis: Pathogenesis, Genetic Background, Clinical Variants and Therapy.

International journal of molecular sciences

Feldmeyer L, Heidemeyer K, Yawalkar N.
PMID: 27472323
Int J Mol Sci. 2016 Jul 27;17(8). doi: 10.3390/ijms17081214.

Acute generalized exanthematous pustulosis (AGEP) is a severe, usually drug-related reaction, characterized by an acute onset of mainly small non-follicular pustules on an erythematous base and spontaneous resolution usually within two weeks. Systemic involvement occurs in about 20% of...

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Feldmeyer L, Heidemeyer K, Yawalkar N. Acute Generalized Exanthematous Pustulosis: Pathogenesis, Genetic Background, Clinical Variants and Therapy. Int J Mol Sci. 2016;17(8)doi: 10.3390/ijms17081214.
Feldmeyer, L., Heidemeyer, K., & Yawalkar, N. (2016). Acute Generalized Exanthematous Pustulosis: Pathogenesis, Genetic Background, Clinical Variants and Therapy. International journal of molecular sciences, 17(8), . https://doi.org/10.3390/ijms17081214
Feldmeyer, Laurence, et al. "Acute Generalized Exanthematous Pustulosis: Pathogenesis, Genetic Background, Clinical Variants and Therapy." International journal of molecular sciences vol. 17,8 (2016). doi: https://doi.org/10.3390/ijms17081214
Feldmeyer L, Heidemeyer K, Yawalkar N. Acute Generalized Exanthematous Pustulosis: Pathogenesis, Genetic Background, Clinical Variants and Therapy. Int J Mol Sci. 2016 Jul 27;17(8). doi: 10.3390/ijms17081214. PMID: 27472323; PMCID: PMC5000612.
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Finding common susceptibility variants for complex disease: past, present and future.

Briefings in functional genomics & proteomics

Panoutsopoulou K, Zeggini E.
PMID: 19571035
Brief Funct Genomic Proteomic. 2009 Sep;8(5):345-52. doi: 10.1093/bfgp/elp020. Epub 2009 Jul 01.

The identification of complex disease susceptibility loci has been accelerated considerably by advances in high-throughput genotyping technologies, improved insight into correlation patterns of common variants and the availability of large-scale sample sets. Linkage scans and small-scale candidate gene studies...

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Panoutsopoulou K, Zeggini E. Finding common susceptibility variants for complex disease: past, present and future. Brief Funct Genomic Proteomic. 2009;8(5):345-52doi: 10.1093/bfgp/elp020.
Panoutsopoulou, K., & Zeggini, E. (2009). Finding common susceptibility variants for complex disease: past, present and future. Briefings in functional genomics & proteomics, 8(5), 345-52. https://doi.org/10.1093/bfgp/elp020
Panoutsopoulou, Kalliope, and Zeggini, Eleftheria. "Finding common susceptibility variants for complex disease: past, present and future." Briefings in functional genomics & proteomics vol. 8,5 (2009): 345-52. doi: https://doi.org/10.1093/bfgp/elp020
Panoutsopoulou K, Zeggini E. Finding common susceptibility variants for complex disease: past, present and future. Brief Funct Genomic Proteomic. 2009 Sep;8(5):345-52. doi: 10.1093/bfgp/elp020. Epub 2009 Jul 01. PMID: 19571035; PMCID: PMC2758134.
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Genetic evaluation of Jatropha curcas: an important oilseed for biodiesel production.

Genetics and molecular research : GMR

Freitas RG, Missio RF, Matos FS, Resende MD, Dias LA.
PMID: 21823099
Genet Mol Res. 2011;10(3):1490-8. doi: 10.4238/vol10-3gmr1146.

Jatropha curcas, internationally and locally known, respectively, as physic nut and pinhão manso, is a highly promising species for biodiesel production in Brazil and other countries in the tropics. It is rustic, grows in warm regions and is easily...

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Freitas RG, Missio RF, Matos FS, et al. Genetic evaluation of Jatropha curcas: an important oilseed for biodiesel production. Genet Mol Res. 2011;10(3):1490-8doi: 10.4238/vol10-3gmr1146.
Freitas, R. G., Missio, R. F., Matos, F. S., Resende, M. D., & Dias, L. A. (2011). Genetic evaluation of Jatropha curcas: an important oilseed for biodiesel production. Genetics and molecular research : GMR, 10(3), 1490-8. https://doi.org/10.4238/vol10-3gmr1146
Freitas, R G, et al. "Genetic evaluation of Jatropha curcas: an important oilseed for biodiesel production." Genetics and molecular research : GMR vol. 10,3 (2011): 1490-8. doi: https://doi.org/10.4238/vol10-3gmr1146
Freitas RG, Missio RF, Matos FS, Resende MD, Dias LA. Genetic evaluation of Jatropha curcas: an important oilseed for biodiesel production. Genet Mol Res. 2011;10(3):1490-8. doi: 10.4238/vol10-3gmr1146. PMID: 21823099.
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Evolutionary diagnosis method for variants in personal exomes.

Nature methods

Kumar S, Sanderford M, Gray VE, Ye J, Liu L.
PMID: 22936163
Nat Methods. 2012 Sep;9(9):855-6. doi: 10.1038/nmeth.2147.

No abstract available.

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Kumar S, Sanderford M, Gray VE, et al. Evolutionary diagnosis method for variants in personal exomes. Nat Methods. 2012;9(9):855-6doi: 10.1038/nmeth.2147.
Kumar, S., Sanderford, M., Gray, V. E., Ye, J., & Liu, L. (2012). Evolutionary diagnosis method for variants in personal exomes. Nature methods, 9(9), 855-6. https://doi.org/10.1038/nmeth.2147
Kumar, Sudhir, et al. "Evolutionary diagnosis method for variants in personal exomes." Nature methods vol. 9,9 (2012): 855-6. doi: https://doi.org/10.1038/nmeth.2147
Kumar S, Sanderford M, Gray VE, Ye J, Liu L. Evolutionary diagnosis method for variants in personal exomes. Nat Methods. 2012 Sep;9(9):855-6. doi: 10.1038/nmeth.2147. PMID: 22936163; PMCID: PMC3810944.
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Genetic testing in the epilepsies-developments and dilemmas.

Nature reviews. Neurology

Poduri A, Sheidley BR, Shostak S, Ottman R.
PMID: 24733164
Nat Rev Neurol. 2014 May;10(5):293-9. doi: 10.1038/nrneurol.2014.60. Epub 2014 Apr 15.

In the past two decades, the number of genes recognized to have a role in the epilepsies has dramatically increased. The availability of testing for epilepsy-related genes is potentially helpful for clarification of the diagnosis and prognosis, selection of...

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Poduri A, Sheidley BR, Shostak S, et al. Genetic testing in the epilepsies-developments and dilemmas. Nat Rev Neurol. 2014;10(5):293-9doi: 10.1038/nrneurol.2014.60.
Poduri, A., Sheidley, B. R., Shostak, S., & Ottman, R. (2014). Genetic testing in the epilepsies-developments and dilemmas. Nature reviews. Neurology, 10(5), 293-9. https://doi.org/10.1038/nrneurol.2014.60
Poduri, Annapurna, et al. "Genetic testing in the epilepsies-developments and dilemmas." Nature reviews. Neurology vol. 10,5 (2014): 293-9. doi: https://doi.org/10.1038/nrneurol.2014.60
Poduri A, Sheidley BR, Shostak S, Ottman R. Genetic testing in the epilepsies-developments and dilemmas. Nat Rev Neurol. 2014 May;10(5):293-9. doi: 10.1038/nrneurol.2014.60. Epub 2014 Apr 15. PMID: 24733164; PMCID: PMC4090104.
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Functional interpretation of non-coding sequence variation: concepts and challenges.

BioEssays : news and reviews in molecular, cellular and developmental biology

Paul DS, Soranzo N, Beck S.
PMID: 24311363
Bioessays. 2014 Feb;36(2):191-9. doi: 10.1002/bies.201300126. Epub 2013 Dec 05.

Understanding the functional mechanisms underlying genetic signals associated with complex traits and common diseases, such as cancer, diabetes and Alzheimer's disease, is a formidable challenge. Many genetic signals discovered through genome-wide association studies map to non-protein coding sequences, where...

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Paul DS, Soranzo N, Beck S. Functional interpretation of non-coding sequence variation: concepts and challenges. Bioessays. 2013;36(2):191-9doi: 10.1002/bies.201300126.
Paul, D. S., Soranzo, N., & Beck, S. (2014). Functional interpretation of non-coding sequence variation: concepts and challenges. BioEssays : news and reviews in molecular, cellular and developmental biology, 36(2), 191-9. https://doi.org/10.1002/bies.201300126
Paul, Dirk S, et al. "Functional interpretation of non-coding sequence variation: concepts and challenges." BioEssays : news and reviews in molecular, cellular and developmental biology vol. 36,2 (2014): 191-9. doi: https://doi.org/10.1002/bies.201300126
Paul DS, Soranzo N, Beck S. Functional interpretation of non-coding sequence variation: concepts and challenges. Bioessays. 2014 Feb;36(2):191-9. doi: 10.1002/bies.201300126. Epub 2013 Dec 05. PMID: 24311363; PMCID: PMC3992842.
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Coronary Artery Disease and Its Risk Factors: Leveraging Shared Genetics to Discover Novel Biology.

Circulation research

Quertermous T, Ingelsson E.
PMID: 26837740
Circ Res. 2016 Jan 08;118(1):14-6. doi: 10.1161/CIRCRESAHA.115.307937.

No abstract available.

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Quertermous T, Ingelsson E. Coronary Artery Disease and Its Risk Factors: Leveraging Shared Genetics to Discover Novel Biology. Circ Res. 2016;118(1):14-6doi: 10.1161/CIRCRESAHA.115.307937.
Quertermous, T., & Ingelsson, E. (2016). Coronary Artery Disease and Its Risk Factors: Leveraging Shared Genetics to Discover Novel Biology. Circulation research, 118(1), 14-6. https://doi.org/10.1161/CIRCRESAHA.115.307937
Quertermous, Thomas, and Ingelsson, Erik. "Coronary Artery Disease and Its Risk Factors: Leveraging Shared Genetics to Discover Novel Biology." Circulation research vol. 118,1 (2016): 14-6. doi: https://doi.org/10.1161/CIRCRESAHA.115.307937
Quertermous T, Ingelsson E. Coronary Artery Disease and Its Risk Factors: Leveraging Shared Genetics to Discover Novel Biology. Circ Res. 2016 Jan 08;118(1):14-6. doi: 10.1161/CIRCRESAHA.115.307937. PMID: 26837740; PMCID: PMC4743893.
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Genetic variants and risk of chronic kidney disease.

Peritoneal dialysis international : journal of the International Society for Peritoneal Dialysis

Devuyst O.
PMID: 24676739
Perit Dial Int. 2014 Mar-Apr;34(2):150. doi: 10.3747/pdi.2014.00063.

No abstract available.

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Devuyst O. Genetic variants and risk of chronic kidney disease. Perit Dial Int. 2014;34(2):150doi: 10.3747/pdi.2014.00063.
Devuyst, O. (2014). Genetic variants and risk of chronic kidney disease. Peritoneal dialysis international : journal of the International Society for Peritoneal Dialysis, 34(2), 150. https://doi.org/10.3747/pdi.2014.00063
Devuyst, Olivier. "Genetic variants and risk of chronic kidney disease." Peritoneal dialysis international : journal of the International Society for Peritoneal Dialysis vol. 34,2 (2014): 150. doi: https://doi.org/10.3747/pdi.2014.00063
Devuyst O. Genetic variants and risk of chronic kidney disease. Perit Dial Int. 2014 Mar-Apr;34(2):150. doi: 10.3747/pdi.2014.00063. PMID: 24676739; PMCID: PMC3968098.
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Finding alternative expression quantitative trait loci by exploring sparse model space.

Journal of computational biology : a journal of computational molecular cell biology

Wang Z, Xu J, Shi X.
PMID: 24689773
J Comput Biol. 2014 May;21(5):385-93. doi: 10.1089/cmb.2014.0026. Epub 2014 Apr 01.

Sparse modeling, a feature selection method widely used in the machine-learning community, has been recently applied to identify associations in genetic studies including expression quantitative trait locus (eQTL) mapping. These genetic studies usually involve high dimensional data where the...

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Wang Z, Xu J, Shi X. Finding alternative expression quantitative trait loci by exploring sparse model space. J Comput Biol. 2014;21(5):385-93doi: 10.1089/cmb.2014.0026.
Wang, Z., Xu, J., & Shi, X. (2014). Finding alternative expression quantitative trait loci by exploring sparse model space. Journal of computational biology : a journal of computational molecular cell biology, 21(5), 385-93. https://doi.org/10.1089/cmb.2014.0026
Wang, Zhiyong, et al. "Finding alternative expression quantitative trait loci by exploring sparse model space." Journal of computational biology : a journal of computational molecular cell biology vol. 21,5 (2014): 385-93. doi: https://doi.org/10.1089/cmb.2014.0026
Wang Z, Xu J, Shi X. Finding alternative expression quantitative trait loci by exploring sparse model space. J Comput Biol. 2014 May;21(5):385-93. doi: 10.1089/cmb.2014.0026. Epub 2014 Apr 01. PMID: 24689773; PMCID: PMC4010169.
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Showing 1 to 12 of 36 entries