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Journal articles on the topic 'Gene frequency'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Robbins, G. "GENE FREQUENCY FOR THALASSAEMIA." Lancet 325, no. 8428 (1985): 579. http://dx.doi.org/10.1016/s0140-6736(85)91235-8.

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2

A, Abdelmoktader. "TLR 1,3 Receptor Gene Polymorphism in Egyptian Patients With Behcets Disease." Virology & Immunology Journal 6, no. 3 (2022): 1–8. http://dx.doi.org/10.23880/vij-16000298.

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Behçet’s disease (BD) is a multisystem inflammatory disease characterized by recurrent orogenital ulcerations, ocular inflammations, and skin lesions. The ethology of the disease is currently unknown but evidences suggested that there is a strong genetic component mediating the chronicity of the disorder. The disease is characterized by infiltration of lymphocytes and neutrophils into the affected organs. APCs (Antigen Presenting Cells): It express receptor called (TLR) Toll like receptor which are one of PRR (pattern recognition receptor) and essential components of the innate immune system a

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3

Maheshri, Narendra. "Gene Expression: Dialing Up the Frequency." Current Biology 18, no. 24 (2008): R1136—R1139. http://dx.doi.org/10.1016/j.cub.2008.10.032.

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4

Caballero-Franco, C., and S. Kissler. "The autoimmunity-associated gene RGS1 affects the frequency of T follicular helper cells." Genes & Immunity 17, no. 4 (2016): 228–38. http://dx.doi.org/10.1038/gene.2016.16.

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5

M Kurrse, Rawya, and Leena B Mirghani. "Frequency of (G428A) Polymorphism within FUT2 Gene among Symptomatic UTI Diseases in Sudanese Patients." International Journal of Scientific Engineering and Research 4, no. 6 (2016): 45–47. https://doi.org/10.70729/ijser15830.

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6

Takahama, Kazutaka, Masayoshi Matsuoka, Kazuhiro Nagahama, and Takahira Ogawa. "High-Frequency Gene Replacement in Cyanobacteria Using a Heterologous rps12 Gene." Plant and Cell Physiology 45, no. 3 (2004): 333–39. http://dx.doi.org/10.1093/pcp/pch041.

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7

Lewis, R. M., B. Grundy, and L. A. Kuehn. "Predicting population gene frequency from sample data." Animal Science 78, no. 1 (2004): 03–11. http://dx.doi.org/10.1017/s1357729800053789.

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AbstractWith an increase in the number of candidate genes for important traits in livestock, effective strategies for incorporating such genes into selection programmes are increasingly important. Those strategies in part depend on the frequency of a favoured allele in a population. Since comprehensive genotyping of a population is seldom possible, we investigate the consequences of sampling strategies on the reliability of the gene frequency estimate for a bi-allelic locus. Even within a subpopulation or line, often only a proportion of individuals will be genotype tested. However, through se

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8

Kiemeney, L., D. Timothy Bishop, DouglasF Easton, and Nicholas Hayward. "Frequency of familial melanoma and MLM2 gene." Lancet 345, no. 8949 (1995): 581–82. http://dx.doi.org/10.1016/s0140-6736(95)90489-1.

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9

Dickinson, Paul, Wendy L. Kimber, Fiona M. Kilanowski, Barbara J. Stevenson, David J. Porteous, and Julia R. Dorin. "High frequency gene targeting using insertional vectors." Human Molecular Genetics 2, no. 8 (1993): 1299–302. http://dx.doi.org/10.1093/hmg/2.8.1299.

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10

Thomas, Alun. "Accelerated Gene Counting for Haplotype Frequency Estimation." Annals of Human Genetics 67, no. 6 (2003): 608–12. http://dx.doi.org/10.1046/j.1529-8817.2003.00054.x.

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11

Majumder, Partha P. "Principal axis analysis of gene frequency data." American Journal of Physical Anthropology 76, no. 3 (1988): 313–20. http://dx.doi.org/10.1002/ajpa.1330760305.

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12

Durinovic-Belló, I., R. P. Wu, V. H. Gersuk, S. Sanda, H. G. Shilling, and G. T. Nepom. "Insulin gene VNTR genotype associates with frequency and phenotype of the autoimmune response to proinsulin." Genes & Immunity 11, no. 2 (2010): 188–93. http://dx.doi.org/10.1038/gene.2009.108.

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13

Frankowiack, M., R.-M. Kovanen, G. A. Repasky, et al. "The higher frequency of IgA deficiency among Swedish twins is not explained by HLA haplotypes." Genes & Immunity 16, no. 3 (2015): 199–205. http://dx.doi.org/10.1038/gene.2014.78.

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14

Shaked, H., C. Melamed-Bessudo, and A. A. Levy. "High-frequency gene targeting in Arabidopsis plants expressing the yeast RAD54 gene." Proceedings of the National Academy of Sciences 102, no. 34 (2005): 12265–69. http://dx.doi.org/10.1073/pnas.0502601102.

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15

Murti, J. R., M. Bumbulis, and J. C. Schimenti. "High-frequency germ line gene conversion in transgenic mice." Molecular and Cellular Biology 12, no. 6 (1992): 2545–52. http://dx.doi.org/10.1128/mcb.12.6.2545-2552.1992.

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Gene conversion is the nonreciprocal transfer of genetic information between two related genes or DNA sequences. It can influence the evolution of gene families, having the capacity to generate both diversity and homogeneity. The potential evolutionary significance of this process is directly related to its frequency in the germ line. While measurement of meiotic inter- and intrachromosomal gene conversion frequency is routine in fungal systems, it has hitherto been impractical in mammals. We have designed a system for identifying and quantitating germ line gene conversion in mice by analyzing

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16

Murti, J. R., M. Bumbulis, and J. C. Schimenti. "High-frequency germ line gene conversion in transgenic mice." Molecular and Cellular Biology 12, no. 6 (1992): 2545–52. http://dx.doi.org/10.1128/mcb.12.6.2545.

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Gene conversion is the nonreciprocal transfer of genetic information between two related genes or DNA sequences. It can influence the evolution of gene families, having the capacity to generate both diversity and homogeneity. The potential evolutionary significance of this process is directly related to its frequency in the germ line. While measurement of meiotic inter- and intrachromosomal gene conversion frequency is routine in fungal systems, it has hitherto been impractical in mammals. We have designed a system for identifying and quantitating germ line gene conversion in mice by analyzing

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17

Tan, Cheemeng, Faisal Reza, and Lingchong You. "Noise-Limited Frequency Signal Transmission in Gene Circuits." Biophysical Journal 93, no. 11 (2007): 3753–61. http://dx.doi.org/10.1529/biophysj.107.110403.

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18

Vitalis, Renaud, Mathieu Gautier, Kevin J. Dawson, and Mark A. Beaumont. "Detecting and Measuring Selection from Gene Frequency Data." Genetics 196, no. 3 (2013): 799–817. http://dx.doi.org/10.1534/genetics.113.152991.

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19

Novak, Sebastian, and Richard Kollár. "Spatial Gene Frequency Waves Under Genotype-Dependent Dispersal." Genetics 205, no. 1 (2016): 367–74. http://dx.doi.org/10.1534/genetics.116.193946.

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20

Olson, Jane M. "Robust Estimation of Gene Frequency and Association Parameters." Biometrics 50, no. 3 (1994): 665. http://dx.doi.org/10.2307/2532781.

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21

Rubin, L. A., V. Peltekova, N. Janicic, et al. "Calcium sensing receptor gene: Analysis of polymorphism frequency." Scandinavian Journal of Clinical and Laboratory Investigation 57 (1997): 122–25. http://dx.doi.org/10.3109/00365519709168318.

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22

Holsinger, Kent E. "Forecasting Gene Frequency. N. J. T. Lo Cascio." Quarterly Review of Biology 66, no. 2 (1991): 242. http://dx.doi.org/10.1086/417232.

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23

WILLISON, KEITH R. "Sex and frequency of gene conversions in meiosis." Nature 313, no. 6003 (1985): 604. http://dx.doi.org/10.1038/313604a0.

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24

Spreafico, M., M. Karimi, S. Zeinali, P. M. Mannucci, and F. Peyvandi. "Allele Frequency of CYP2C9 Gene Polymorphisms in Iran." Thrombosis and Haemostasis 88, no. 11 (2002): 874–75. http://dx.doi.org/10.1055/s-0037-1613318.

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25

Cai, Long, Chiraj K. Dalal, and Michael B. Elowitz. "Frequency-modulated nuclear localization bursts coordinate gene regulation." Nature 455, no. 7212 (2008): 485–90. http://dx.doi.org/10.1038/nature07292.

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26

Carney, Ellen F. "Frequency of podocyte-related gene mutations in FSGS." Nature Reviews Nephrology 10, no. 4 (2014): 184. http://dx.doi.org/10.1038/nrneph.2014.29.

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27

Rubin, L. A., V. Peltekova, N. Janicic, et al. "Calcium sensing receptor gene: Analysis of polymorphism frequency." Scandinavian Journal of Clinical and Laboratory Investigation 57, sup227 (1997): 122–25. http://dx.doi.org/10.1080/00365519709168318.

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28

Apriyani, Nella Dwi, and Fania Petriana. "Lobe Gene Frequency Identification Clinging and Eyebrows Connecting." Tropical Genetics 4, no. 2 (2024): 38–43. http://dx.doi.org/10.24036/tg.v4i2.59.

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Study this done for know variety and frequency allele decider characteristics of the face and lobes, based on There is or not lobe attached and eyebrows continued, to students at SMAN 7 Sijunjung and SMAN 1 Sungai Limau. Study carried out on 500 samples probandus (250 people from students of SMAN 7 Sijunjung and 250 students of SMAN 1 Sungai Limau ) carried out observation in a way direct with fill in data forms, as well Analyzed probandus pedigree diagram. Research result show that as many as 71.2% of SMAN 7 Sijunjung students and SMAN 1 Sungai Limau students own characteristic lobe No attach

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29

Mary, C., F. Faraut, M. Deniau, et al. "Frequency of Drug Resistance Gene Amplification in ClinicalLeishmaniaStrains." International Journal of Microbiology 2010 (2010): 1–8. http://dx.doi.org/10.1155/2010/819060.

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Experimental studies aboutLeishmaniaresistance to metal and antifolates have pointed out that gene amplification is one of the main mechanisms of drug detoxification. Amplified genes code for adenosine triphosphate-dependent transporters (multidrug resistance and P-glycoproteins P), enzymes involved in trypanothione pathway, particularly gamma glutamyl cysteine synthase, and others involved in folates metabolism, such as dihydrofolate reductase and pterine reductase. The aim of this study was to detect and quantify the amplification of these genes in clinical strains of visceral leishmaniasis

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30

Jeong, Mi-Jeong, Chang-Ki Shim, Jin-Ohk Lee, et al. "Plant gene responses to frequency-specific sound signals." Molecular Breeding 21, no. 2 (2007): 217–26. http://dx.doi.org/10.1007/s11032-007-9122-x.

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31

Newmark, Judith A., Frank Sacher, Gwilym S. Jones, and Carol M. Warner. "Ped gene deletion polymorphism frequency in wild mice." Journal of Experimental Zoology 293, no. 2 (2002): 179–85. http://dx.doi.org/10.1002/jez.10117.

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32

Broux, B., N. Hellings, K. Venken, et al. "Haplotype 4 of the multiple sclerosis-associated interleukin-7 receptor alpha gene influences the frequency of recent thymic emigrants." Genes & Immunity 11, no. 4 (2010): 326–33. http://dx.doi.org/10.1038/gene.2009.106.

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33

CHAKRABORTY, Supriyo. "Gene Frequency and Heritability of Rh Blood Group Gene in 44 Human Populations." Notulae Scientia Biologicae 2, no. 3 (2010): 16–19. http://dx.doi.org/10.15835/nsb234756.

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34

Protas, Valeria, Gayane Pavlovna Pogossyan, Constantin Grigoryevich Li, and Michael Petrovich Danilenko. "Frequency of rs2228570 single nucleotide polymorphism of Vitamin-D Receptor (VDR) gene among the Kazakh ethnic group." Bulletin of the Karaganda University. “Biology, medicine, geography Series” 109, no. 1 (2023): 117–22. http://dx.doi.org/10.31489/2023bmg1/117-122.

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The article presents the results of the study of vitamin D receptor (VDR) gene rs2228570 single nucleotide polymorphism (SNP) genotypes and individual alleles frequency among the Kazakh ethnic group representatives living in the Karaganda region. This SNP was determined by real-time polymerase chain reaction using TaqMan technology. The study relevance is due to the fact that genetic variations in rs2228570 affect the synthesis of the VDR protein and its activity as a transcription factor that regulates the expression of other genes. This mechanism determines the association of individual rs22

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35

Priya, Kanu, Anita Yadav, Neeraj Kumar, Sachin Gulati, Neeraj Aggarwal, and Ranjan Gupta. "Glutathione S-Transferase Gene Polymorphisms." International Journal of Toxicology 34, no. 6 (2015): 500–504. http://dx.doi.org/10.1177/1091581815603935.

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This study investigated genetic damage in gasoline pump workers using the cytokinesis blocked micronucleus (CBMN) assay. Blood and urine samples were collected from 50 gasoline pump workers and 50 control participants matched with respect to age and other confounding factors except for exposure to benzene through gasoline vapors. To determine the benzene exposure, phenol was analyzed in urinary samples of exposed and control participants. Urinary mean phenol level was found to be significantly high ( P < 0.05) in exposed workers. The CBMN frequency was found to be significantly higher in ga

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36

Vazic, Bozo, Biljana Rogic, Milanka Drinic, and Nebojsa Savic. "Polymorphism of Pramenka sheep hemoglobin in Central Bosnia." Journal of Agricultural Sciences, Belgrade 60, no. 3 (2015): 315–24. http://dx.doi.org/10.2298/jas1503315v.

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The study of the hemoglobin polymorphism was performed on blood samples, taken from areas inhabited by Pramenka sheep in Central Bosnia: the area of the mountain Vlasic, the upper flow of the river Vrbas and Kupres plateau. Dupska pramenka sheep inhabits the mountain Vlasic and the areas of surrounding municipalities. Privorska pramenka sheep inhabits the area around the upper flow of the river Vrbas and the mountain Vranica and Kupreska pramenka sheep inhabits Kupres plateau. HbA gene frequency was 0.31 and HbB gene frequency was 0.69 for Dupska pramenka sheep. Privorska pramenka sheep had a

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37

Li, Na, Tammy M. Joska, Catherine E. Ruesch, Samuel J. Coster, and William J. Belden. "The frequency natural antisense transcript first promotes, then represses, frequency gene expression via facultative heterochromatin." Proceedings of the National Academy of Sciences 112, no. 14 (2015): 4357–62. http://dx.doi.org/10.1073/pnas.1406130112.

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The circadian clock is controlled by a network of interconnected feedback loops that require histone modifications and chromatin remodeling. Long noncoding natural antisense transcripts (NATs) originate from Period in mammals and frequency (frq) in Neurospora. To understand the role of NATs in the clock, we put the frq antisense transcript qrf (frq spelled backwards) under the control of an inducible promoter. Replacing the endogenous qrf promoter altered heterochromatin formation and DNA methylation at frq. In addition, constitutive, low-level induction of qrf caused a dramatic effect on the

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38

Ali, Nadir, Bashir Ahmed, Humaira Akram, Junaid Akhtar, Ross Williams, and Ron Dixon. "HFE GENE MUTATIONS." Professional Medical Journal 25, no. 01 (2018): 129–34. http://dx.doi.org/10.29309/tpmj/2018.25.01.551.

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Objectives: To determine the frequency of two common HFE Gene Mutations(C282Y & H63D) in an immigrant population (British Pakistanis) in UK. Study Design: Crosssectional study. Setting: University of Lincoln UK. Duration: Duration of study was 12 monthsfrom 01/09/2012 to 31/08/2013. Material and Methods: Two hundred immigrant Pakistani (BP)chromosomes (100 samples; 50 male and 50 female) from major cities of UK and 200 ancestralorigin Pakistani chromosomes (100 samples; 50 male and 50 female) were analysed by PCRRFLPfor the presence of the H63D and C282Y mutations. Results: Eight individua

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39

Shi, Jiancheng, Chusheng Huang, Tao Dong, and Xiuzhi Zhang. "High-frequency and low-frequency effects on vibrational resonance in a synthetic gene network." Physical Biology 7, no. 3 (2010): 036006. http://dx.doi.org/10.1088/1478-3975/7/3/036006.

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40

Harui, Airi, Shinobu Suzuki, Stefan Kochanek, and Kohnosuke Mitani. "Frequency and Stability of Chromosomal Integration of Adenovirus Vectors." Journal of Virology 73, no. 7 (1999): 6141–46. http://dx.doi.org/10.1128/jvi.73.7.6141-6146.1999.

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ABSTRACT One of the limitations of adenovirus vectors is the lack of machinery necessary for their integration into host chromosomes, resulting in short-term gene expression in dividing cells. We analyzed frequencies of integration and persistence of gene expression from integrated adenovirus vectors. Both E1-substituted and helper-dependent adenovirus vectors achieved similar integration efficiencies of ∼10−3 to 10−5 per cell, with the helper-dependent vector showing slightly higher efficiencies. In stable cell pools, gene expression of the integrated vector persisted for at least 50 cell div

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41

Sorokina, E. Yu, N. N. Denisova, and E. E. Keshabyants. "Frequency of occurrence of genetic polymorphisms associated with sports success in elite athletes in team sports." Sports medicine: research and practice 11, no. 1 (2021): 5–10. http://dx.doi.org/10.47529/2223-2524.2021.1.11.

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Objective: to evaluate the frequency of occurrence of polymorphisms rs1815739 (ACTN3 gene), rs2016520 (PPARD gene), rs1042713 (ADRB2 gene), rs1799945 (HFE gene) in athletes of highperformance sports.Materials and methods: genotyping was performed using allelespecific amplification with realtime detection of the results and using TaqMan probes.Results: a higher frequency of alleles associated with endurance was found: the t allele of the rs1815739 polymorphism (ACTN3 gene), the g allele of the rs2016520 polymorphism (PPARD gene), the g allele of the rs1042713 polymorphism (ADRB2 gene), and t

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42

Sutrisna, Em, Iwan Dwiprahasto, and Erna Kristin. "CYP3A4*1G gene Polymorphism on Javanese People." Indonesian Journal of Biotechnology 16, no. 2 (2015): 83. http://dx.doi.org/10.22146/ijbiotech.16373.

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Most of drugs are metabolized by cytochrome P 450 (CYP) enzyme. Cytochrome P450 3A4 is thecytochrome that is involved in metabolizing more than 60% of all medicine used in human. The variationof this CYP3A4 gene will affect the catalytic activity of this enzyme. Recently, CYP3A4*1G in intron 10 wasfound in Chinese and Japanese population. There is a substitution of G to A at position 82266 in intron 10. Thepurpose of this research was to investigate the frequency of allele and genotype CYP3A4*1G. Samples weretaken from bloods of the subjects of the research. The examination of CYP3A4*1G was co

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43

Grundy, B., and R. M. Lewis. "Gene frequency estimation from a biased sample of individuals." Proceedings of the British Society of Animal Science 2001 (2001): 44. http://dx.doi.org/10.1017/s1752756200004269.

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With individual genes being identified that have an important effect on performance and fitness in livestock it is likely that such genes will be included in selection programmes. However, in order to devise sensible strategies to achieve this, knowledge of the frequency of the gene of interest is required. In practice, it is possible that estimates for gene frequency are based on genotype testing of only a subset of the population. The question then arises as to what conclusions can be drawn about the population gene frequency particularly in the likely scenario where the sample genotyped is

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44

Xia, Jingbo, Xing Zhang, Daojun Yuan, Lingling Chen, Jonathan Webster, and Alex Chengyu Fang. "Gene Prioritization of Resistant Rice Gene againstXanthomas oryzae pv. oryzaeby Using Text Mining Technologies." BioMed Research International 2013 (2013): 1–9. http://dx.doi.org/10.1155/2013/853043.

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To effectively assess the possibility of the unknown rice protein resistant toXanthomonas oryzae pv. oryzae, a hybrid strategy is proposed to enhance gene prioritization by combining text mining technologies with a sequence-based approach. The text mining technique of term frequency inverse document frequency is used to measure the importance of distinguished terms which reflect biomedical activity in rice before candidate genes are screened and vital terms are produced. Afterwards, a built-in classifier under the chaos games representation algorithm is used to sieve the best possible candidat

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45

Artan, Sevilhan, Ebru Erzurumluoglu Gokalp, Bedia Samanci, et al. "Frequency of frontotemporal dementia-related gene variants in Turkey." Neurobiology of Aging 106 (October 2021): 332.e1–332.e11. http://dx.doi.org/10.1016/j.neurobiolaging.2021.05.007.

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46

Liu, Su-Ching, Ching-Tien Peng, Tsai-Hsiu Lin, et al. "Molecular Lesion Frequency Of Hemoglobin Gene Disorders In Taiwan." Hemoglobin 35, no. 3 (2011): 228–36. http://dx.doi.org/10.3109/03630269.2011.572524.

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47

Rosa, Bruce A., Yuhua Jiao, Sookyung Oh, Beronda L. Montgomery, Wensheng Qin, and Jin Chen. "Frequency-based time-series gene expression recomposition using PRIISM." BMC Systems Biology 6, no. 1 (2012): 69. http://dx.doi.org/10.1186/1752-0509-6-69.

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48

Ha, Seog-Jun, Jung-Soo Kim, Eun-Joo Seo, Kyung-Ho Lee, Hyun-Jeong Lee та Jin-Wou Kim. "Low Frequency of β-Catenin Gene Mutations in Pilomatricoma". Acta Dermato-Venereologica 82, № 6 (2002): 428–31. http://dx.doi.org/10.1080/000155502762064557.

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49

Amandykova, М. D., К. Zh Dossybayev, A. M. Baibagysov, et al. "CSN3 gene distribution frequency in camels of Almaty region." Experimental Biology 81, no. 4 (2019): 34–42. http://dx.doi.org/10.26577/eb-2019-4-b4.

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50

Liew, Choong Tsek, Hiu-Ming Li, Kwok-Wai Lo, et al. "High frequency of p16INK4A gene alterations in hepatocellular carcinoma." Oncogene 18, no. 3 (1999): 789–95. http://dx.doi.org/10.1038/sj.onc.1202359.

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