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Showing 25 to 36 of 1851 entries
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Genetic effects of polymorphisms in myogenic regulatory factors on chicken muscle fiber traits.

Asian-Australasian journal of animal sciences

Yang ZQ, Qing Y, Zhu Q, Zhao XL, Wang Y, Li DY, Liu YP, Yin HD.
PMID: 25925055
Asian-Australas J Anim Sci. 2015 Jun;28(6):782-7. doi: 10.5713/ajas.14.0753.

The myogenic regulatory factors is a family of transcription factors that play a key role in the development of skeletal muscle fibers, which are the main factors to affect the meat taste and texture. In the present study, we...

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Yang ZQ, Qing Y, Zhu Q, et al. Genetic effects of polymorphisms in myogenic regulatory factors on chicken muscle fiber traits. Asian-Australas J Anim Sci. 2015;28(6):782-7doi: 10.5713/ajas.14.0753.
Yang, Z. Q., Qing, Y., Zhu, Q., Zhao, X. L., Wang, Y., Li, D. Y., Liu, Y. P., & Yin, H. D. (2015). Genetic effects of polymorphisms in myogenic regulatory factors on chicken muscle fiber traits. Asian-Australasian journal of animal sciences, 28(6), 782-7. https://doi.org/10.5713/ajas.14.0753
Yang, Zhi-Qin, et al. "Genetic effects of polymorphisms in myogenic regulatory factors on chicken muscle fiber traits." Asian-Australasian journal of animal sciences vol. 28,6 (2015): 782-7. doi: https://doi.org/10.5713/ajas.14.0753
Yang ZQ, Qing Y, Zhu Q, Zhao XL, Wang Y, Li DY, Liu YP, Yin HD. Genetic effects of polymorphisms in myogenic regulatory factors on chicken muscle fiber traits. Asian-Australas J Anim Sci. 2015 Jun;28(6):782-7. doi: 10.5713/ajas.14.0753. PMID: 25925055; PMCID: PMC4412974.
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Advances in Proteomic Technologies and Its Contribution to the Field of Cancer.

Advances in medicine

Mesri M.
PMID: 26556407
Adv Med. 2014;2014:238045. doi: 10.1155/2014/238045. Epub 2014 Sep 07.

Systematic studies of the cancer genome have generated a wealth of knowledge in recent years. These studies have uncovered a number of new cancer genes not previously known to be causal targets in cancer. Genetic markers can be used...

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Mesri M. Advances in Proteomic Technologies and Its Contribution to the Field of Cancer. Adv Med. 2014;2014:238045doi: 10.1155/2014/238045.
Mesri, M. (2014). Advances in Proteomic Technologies and Its Contribution to the Field of Cancer. Advances in medicine, 2014238045. https://doi.org/10.1155/2014/238045
Mesri, Mehdi. "Advances in Proteomic Technologies and Its Contribution to the Field of Cancer." Advances in medicine vol. 2014 (2014): 238045. doi: https://doi.org/10.1155/2014/238045
Mesri M. Advances in Proteomic Technologies and Its Contribution to the Field of Cancer. Adv Med. 2014;2014:238045. doi: 10.1155/2014/238045. Epub 2014 Sep 07. PMID: 26556407; PMCID: PMC4590950.
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Characterization of genetic identities and relationships of Brassica oleracea L. via a random amplified polymorphic DNA assay.

TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik

Kresovich S, Williams JG, McFerson JR, Routman EJ, Schaal BA.
PMID: 24197304
Theor Appl Genet. 1992 Nov;85(2):190-6. doi: 10.1007/BF00222859.

Effective conservation and the use of plant genetic resources are essential for future agricultural progress. Critical to this conservation effort is the development of genetic markers which not only distinguish individuals and accessions but also reflect the inherent variation...

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Kresovich S, Williams JG, McFerson JR, et al. Characterization of genetic identities and relationships of Brassica oleracea L. via a random amplified polymorphic DNA assay. Theor Appl Genet. 1992;85(2):190-6doi: 10.1007/BF00222859.
Kresovich, S., Williams, J. G., McFerson, J. R., Routman, E. J., & Schaal, B. A. (1992). Characterization of genetic identities and relationships of Brassica oleracea L. via a random amplified polymorphic DNA assay. TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 85(2), 190-6. https://doi.org/10.1007/BF00222859
Kresovich, S, et al. "Characterization of genetic identities and relationships of Brassica oleracea L. via a random amplified polymorphic DNA assay." TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik vol. 85,2 (1992): 190-6. doi: https://doi.org/10.1007/BF00222859
Kresovich S, Williams JG, McFerson JR, Routman EJ, Schaal BA. Characterization of genetic identities and relationships of Brassica oleracea L. via a random amplified polymorphic DNA assay. Theor Appl Genet. 1992 Nov;85(2):190-6. doi: 10.1007/BF00222859. PMID: 24197304.
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Variations in inflammatory genes are associated with periodontitis.

Immunity & ageing : I & A

Ianni M, Bruzzesi G, Pugliese D, Porcellini E, Carbone I, Schiavone A, Licastro F.
PMID: 24274085
Immun Ageing. 2013 Oct 01;10(1):39. doi: 10.1186/1742-4933-10-39.

BACKGROUND: Periodontitis is a multi-factorial disease and several risk-factors such as infections, inflammatory responses, oral hygiene, smoke, aging and individual predisposition are involved in the disease. Pathogens trigger chronic inflammation with cytokines release which in turn leads to the...

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Ianni M, Bruzzesi G, Pugliese D, et al. Variations in inflammatory genes are associated with periodontitis. Immun Ageing. 2013;10(1):39doi: 10.1186/1742-4933-10-39.
Ianni, M., Bruzzesi, G., Pugliese, D., Porcellini, E., Carbone, I., Schiavone, A., & Licastro, F. (2013). Variations in inflammatory genes are associated with periodontitis. Immunity & ageing : I & A, 10(1), 39. https://doi.org/10.1186/1742-4933-10-39
Ianni, Manuela, et al. "Variations in inflammatory genes are associated with periodontitis." Immunity & ageing : I & A vol. 10,1 (2013): 39. doi: https://doi.org/10.1186/1742-4933-10-39
Ianni M, Bruzzesi G, Pugliese D, Porcellini E, Carbone I, Schiavone A, Licastro F. Variations in inflammatory genes are associated with periodontitis. Immun Ageing. 2013 Oct 01;10(1):39. doi: 10.1186/1742-4933-10-39. PMID: 24274085; PMCID: PMC3850543.
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Linkage disequilibrium estimates of contemporary N e using highly variable genetic markers: a largely untapped resource for applied conservation and evolution.

Evolutionary applications

Waples RS, Do C.
PMID: 25567922
Evol Appl. 2010 May;3(3):244-62. doi: 10.1111/j.1752-4571.2009.00104.x. Epub 2009 Nov 24.

Genetic methods are routinely used to estimate contemporary effective population size (N e) in natural populations, but the vast majority of applications have used only the temporal (two-sample) method. We use simulated data to evaluate how highly polymorphic molecular...

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Waples RS, Do C. Linkage disequilibrium estimates of contemporary N e using highly variable genetic markers: a largely untapped resource for applied conservation and evolution. Evol Appl. 2009;3(3):244-62doi: 10.1111/j.1752-4571.2009.00104.x.
Waples, R. S., & Do, C. (2010). Linkage disequilibrium estimates of contemporary N e using highly variable genetic markers: a largely untapped resource for applied conservation and evolution. Evolutionary applications, 3(3), 244-62. https://doi.org/10.1111/j.1752-4571.2009.00104.x
Waples, Robin S, and Do, Chi. "Linkage disequilibrium estimates of contemporary N e using highly variable genetic markers: a largely untapped resource for applied conservation and evolution." Evolutionary applications vol. 3,3 (2010): 244-62. doi: https://doi.org/10.1111/j.1752-4571.2009.00104.x
Waples RS, Do C. Linkage disequilibrium estimates of contemporary N e using highly variable genetic markers: a largely untapped resource for applied conservation and evolution. Evol Appl. 2010 May;3(3):244-62. doi: 10.1111/j.1752-4571.2009.00104.x. Epub 2009 Nov 24. PMID: 25567922; PMCID: PMC3352464.
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Biomarkers and genetics of brain injury risk in diabetic ketoacidosis: A pilot study.

Journal of pediatric intensive care

Nett ST, Noble JA, Levin DL, Cvijanovich NZ, Vavilala MS, Jarvis JD, Flori HR.
PMID: 26097769
J Pediatr Intensive Care. 2014;3(2). doi: 10.3233/PIC-14091.

Diabetic ketoacidosis (DKA) is the primary cause of death for children with diabetes, especially when complicated by cerebral edema. Central nervous system (CNS) involvement is common, however the mechanism of, and predictors of CNS dysfunction/injury are largely unknown. In...

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Nett ST, Noble JA, Levin DL, et al. Biomarkers and genetics of brain injury risk in diabetic ketoacidosis: A pilot study. J Pediatr Intensive Care. 2014;3(2)doi: 10.3233/PIC-14091.
Nett, S. T., Noble, J. A., Levin, D. L., Cvijanovich, N. Z., Vavilala, M. S., Jarvis, J. D., & Flori, H. R. (2014). Biomarkers and genetics of brain injury risk in diabetic ketoacidosis: A pilot study. Journal of pediatric intensive care, 3(2), . https://doi.org/10.3233/PIC-14091
Nett, Sholeen T, et al. "Biomarkers and genetics of brain injury risk in diabetic ketoacidosis: A pilot study." Journal of pediatric intensive care vol. 3,2 (2014). doi: https://doi.org/10.3233/PIC-14091
Nett ST, Noble JA, Levin DL, Cvijanovich NZ, Vavilala MS, Jarvis JD, Flori HR. Biomarkers and genetics of brain injury risk in diabetic ketoacidosis: A pilot study. J Pediatr Intensive Care. 2014;3(2). doi: 10.3233/PIC-14091. PMID: 26097769; PMCID: PMC4472439.
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A partition-based approach to identify gene-environment interactions in genome wide association studies.

BMC proceedings

Fan R, Huang CH, Hu I, Wang H, Zheng T, Lo SH.
PMID: 25519395
BMC Proc. 2014 Jun 17;8:S60. doi: 10.1186/1753-6561-8-S1-S60. eCollection 2014.

It is believed that almost all common diseases are the consequence of complex interactions between genetic markers and environmental factors. However, few such interactions have been documented to date. Conventional statistical methods for detecting gene and environmental interactions are...

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Fan R, Huang CH, Hu I, et al. A partition-based approach to identify gene-environment interactions in genome wide association studies. BMC Proc. 2014;8:S60doi: 10.1186/1753-6561-8-S1-S60.
Fan, R., Huang, C. H., Hu, I., Wang, H., Zheng, T., & Lo, S. H. (2014). A partition-based approach to identify gene-environment interactions in genome wide association studies. BMC proceedings, 8S60. https://doi.org/10.1186/1753-6561-8-S1-S60
Fan, Ruixue, et al. "A partition-based approach to identify gene-environment interactions in genome wide association studies." BMC proceedings vol. 8 (2014): S60. doi: https://doi.org/10.1186/1753-6561-8-S1-S60
Fan R, Huang CH, Hu I, Wang H, Zheng T, Lo SH. A partition-based approach to identify gene-environment interactions in genome wide association studies. BMC Proc. 2014 Jun 17;8:S60. doi: 10.1186/1753-6561-8-S1-S60. eCollection 2014. PMID: 25519395; PMCID: PMC4143762.
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Entropy-based method for assessing the influence of genetic markers and covariates on hypertension: application to Genetic Analysis Workshop 18 data.

BMC proceedings

Liu J, Beyene J.
PMID: 25519419
BMC Proc. 2014 Jun 17;8:S97. doi: 10.1186/1753-6561-8-S1-S97. eCollection 2014.

Many complex diseases are related to genetics, and it is of great interest to evaluate the association between single-nucleotide polymorphisms (SNPs) and disease outcome. The association of genetics with outcome can be modified by covariates such as age, sex,...

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Liu J, Beyene J. Entropy-based method for assessing the influence of genetic markers and covariates on hypertension: application to Genetic Analysis Workshop 18 data. BMC Proc. 2014;8:S97doi: 10.1186/1753-6561-8-S1-S97.
Liu, J., & Beyene, J. (2014). Entropy-based method for assessing the influence of genetic markers and covariates on hypertension: application to Genetic Analysis Workshop 18 data. BMC proceedings, 8S97. https://doi.org/10.1186/1753-6561-8-S1-S97
Liu, Jun, and Beyene, Joseph. "Entropy-based method for assessing the influence of genetic markers and covariates on hypertension: application to Genetic Analysis Workshop 18 data." BMC proceedings vol. 8 (2014): S97. doi: https://doi.org/10.1186/1753-6561-8-S1-S97
Liu J, Beyene J. Entropy-based method for assessing the influence of genetic markers and covariates on hypertension: application to Genetic Analysis Workshop 18 data. BMC Proc. 2014 Jun 17;8:S97. doi: 10.1186/1753-6561-8-S1-S97. eCollection 2014. PMID: 25519419; PMCID: PMC4143731.
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Free proline contents in two different groups of rice mutants resistant to hydroxy-L-proline.

TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik

Mori S, Hasegawa H, Che R, Nakanishi H, Murakami M.
PMID: 24232472
Theor Appl Genet. 1989 Jan;77(1):44-8. doi: 10.1007/BF00292314.

In four rice (Oryza sativa L.) mutants resistant to hydroxy-L-proline (Hyp), HYP101, HYP203, HYP205 and HYP210, and in their original variety, Nipponbare, free proline and Hyp contents in the seeds and in the 14-day-old seedlings have been determined. The...

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Mori S, Hasegawa H, Che R, et al. Free proline contents in two different groups of rice mutants resistant to hydroxy-L-proline. Theor Appl Genet. 1989;77(1):44-8doi: 10.1007/BF00292314.
Mori, S., Hasegawa, H., Che, R., Nakanishi, H., & Murakami, M. (1989). Free proline contents in two different groups of rice mutants resistant to hydroxy-L-proline. TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 77(1), 44-8. https://doi.org/10.1007/BF00292314
Mori, S, et al. "Free proline contents in two different groups of rice mutants resistant to hydroxy-L-proline." TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik vol. 77,1 (1989): 44-8. doi: https://doi.org/10.1007/BF00292314
Mori S, Hasegawa H, Che R, Nakanishi H, Murakami M. Free proline contents in two different groups of rice mutants resistant to hydroxy-L-proline. Theor Appl Genet. 1989 Jan;77(1):44-8. doi: 10.1007/BF00292314. PMID: 24232472.
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Kernel score statistic for dependent data.

BMC proceedings

Malzahn D, Friedrichs S, Rosenberger A, Bickeböller H.
PMID: 25519324
BMC Proc. 2014 Jun 17;8:S41. doi: 10.1186/1753-6561-8-S1-S41. eCollection 2014.

The kernel score statistic is a global covariance component test over a set of genetic markers. It provides a flexible modeling framework and does not collapse marker information. We generalize the kernel score statistic to allow for familial dependencies...

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Malzahn D, Friedrichs S, Rosenberger A, et al. Kernel score statistic for dependent data. BMC Proc. 2014;8:S41doi: 10.1186/1753-6561-8-S1-S41.
Malzahn, D., Friedrichs, S., Rosenberger, A., & Bickeböller, H. (2014). Kernel score statistic for dependent data. BMC proceedings, 8S41. https://doi.org/10.1186/1753-6561-8-S1-S41
Malzahn, Dörthe, et al. "Kernel score statistic for dependent data." BMC proceedings vol. 8 (2014): S41. doi: https://doi.org/10.1186/1753-6561-8-S1-S41
Malzahn D, Friedrichs S, Rosenberger A, Bickeböller H. Kernel score statistic for dependent data. BMC Proc. 2014 Jun 17;8:S41. doi: 10.1186/1753-6561-8-S1-S41. eCollection 2014. PMID: 25519324; PMCID: PMC4143755.
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[Relationship between heterozygosity as estimated from genetic markers and fertility in cattle : I. Estimation and dimension of heterozygosity in german cattle breeds].

TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik

Hierl HF.
PMID: 24414384
Theor Appl Genet. 1976 Mar;47(2):69-75. doi: 10.1007/BF00281918.

Blood groups and biochemical markers were used to estimate heterozygosity in cows of Bavarian Fleckvieh (spotted upland), Braunvieh (brown), Hinterwälder and a Holstein-Friesian herd. These groups showed little difference in the estimated degree of heterozygosity which averaged around 35-40%....

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Hierl HF. Beziehungen zwischen dem Heterozygotiegrad, geschätzt aus Markergenen, und der Fruchtbarkeit beim Rind : I. Schätzung und Ausmaß der Heterozygotie in deutschen Rinderrassen. [Relationship between heterozygosity as estimated from genetic markers and fertility in cattle : I. Estimation and dimension of heterozygosity in german cattle breeds]. Theor Appl Genet. 1976;47(2):69-75doi: 10.1007/BF00281918.
Hierl, H. F. (1976). Beziehungen zwischen dem Heterozygotiegrad, geschätzt aus Markergenen, und der Fruchtbarkeit beim Rind : I. Schätzung und Ausmaß der Heterozygotie in deutschen Rinderrassen. [Relationship between heterozygosity as estimated from genetic markers and fertility in cattle : I. Estimation and dimension of heterozygosity in german cattle breeds]. TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 47(2), 69-75. https://doi.org/10.1007/BF00281918
Hierl, H F. "Beziehungen zwischen dem Heterozygotiegrad, geschätzt aus Markergenen, und der Fruchtbarkeit beim Rind : I. Schätzung und Ausmaß der Heterozygotie in deutschen Rinderrassen." [Relationship between heterozygosity as estimated from genetic markers and fertility in cattle : I. Estimation and dimension of heterozygosity in german cattle breeds]. TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik vol. 47,2 (1976): 69-75. doi: https://doi.org/10.1007/BF00281918
Hierl HF. Beziehungen zwischen dem Heterozygotiegrad, geschätzt aus Markergenen, und der Fruchtbarkeit beim Rind : I. Schätzung und Ausmaß der Heterozygotie in deutschen Rinderrassen. [Relationship between heterozygosity as estimated from genetic markers and fertility in cattle : I. Estimation and dimension of heterozygosity in german cattle breeds]. Theor Appl Genet. 1976 Mar;47(2):69-75. doi: 10.1007/BF00281918. German. PMID: 24414384.
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Development of Genetic Markers for Triploid Verification of the Pacific Oyster, Crassostrea gigas.

Asian-Australasian journal of animal sciences

Kang JH, Lim HJ, Kang HS, Lee JM, Baby S, Kim JJ.
PMID: 25049868
Asian-Australas J Anim Sci. 2013 Jul;26(7):916-20. doi: 10.5713/ajas.2013.13108.

The triploid Pacific oyster, which is produced by mating tetraploid and diploid oysters, is favored by the aquaculture industry because of its better flavor and firmer texture, particularly during the summer. However, tetraploid oyster production is not feasible in...

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Kang JH, Lim HJ, Kang HS, et al. Development of Genetic Markers for Triploid Verification of the Pacific Oyster, Crassostrea gigas. Asian-Australas J Anim Sci. 2013;26(7):916-20doi: 10.5713/ajas.2013.13108.
Kang, J. H., Lim, H. J., Kang, H. S., Lee, J. M., Baby, S., & Kim, J. J. (2013). Development of Genetic Markers for Triploid Verification of the Pacific Oyster, Crassostrea gigas. Asian-Australasian journal of animal sciences, 26(7), 916-20. https://doi.org/10.5713/ajas.2013.13108
Kang, Jung-Ha, et al. "Development of Genetic Markers for Triploid Verification of the Pacific Oyster, Crassostrea gigas." Asian-Australasian journal of animal sciences vol. 26,7 (2013): 916-20. doi: https://doi.org/10.5713/ajas.2013.13108
Kang JH, Lim HJ, Kang HS, Lee JM, Baby S, Kim JJ. Development of Genetic Markers for Triploid Verification of the Pacific Oyster, Crassostrea gigas. Asian-Australas J Anim Sci. 2013 Jul;26(7):916-20. doi: 10.5713/ajas.2013.13108. PMID: 25049868; PMCID: PMC4093491.
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Showing 25 to 36 of 1851 entries