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1

Morin-Chassé, Alexandre. „Behavioral Genetics, Population Genetics, and Genetic Essentialism“. Science & Education 29, Nr. 6 (04.11.2020): 1595–619. http://dx.doi.org/10.1007/s11191-020-00166-y.

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2

Sumida, Brian. „Genetics for genetic algorithms“. ACM SIGBIO Newsletter 12, Nr. 2 (Juni 1992): 44–46. http://dx.doi.org/10.1145/130686.130694.

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3

Niendorf, Kristin Baker. „Genetic Library: Cancer Genetics“. Journal of Genetic Counseling 11, Nr. 5 (Oktober 2002): 429–34. http://dx.doi.org/10.1023/a:1016854001384.

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4

Comfort, Nathaniel. „Genetics: The genetic watchmaker“. Nature 502, Nr. 7472 (Oktober 2013): 436–37. http://dx.doi.org/10.1038/502436a.

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5

Hendrix, Jon R. „Genetics: Cancer, a Genetic Disease Genetics: Jumping Genes Genetics: Beyond the Double Helix“. American Biology Teacher 51, Nr. 6 (September 1989): 376–77. http://dx.doi.org/10.2307/4448957.

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6

Grochová, Ilga, und Ladislav Groch. „Genetics in cardiology. Part I. The history and evolution of modern genetics“. Cor et Vasa 49, Nr. 5 (01.05.2007): 196–201. http://dx.doi.org/10.33678/cor.2007.070.

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7

Grochová, Ilga, Ladislav Groch und Diana Grochová. „Genetics in cardiology. Part II. Basic notions in genetics, methods of examination, types of heredity, chromosomal aberrations, genetics of congenital heart disease“. Cor et Vasa 49, Nr. 6 (01.06.2007): 229–36. http://dx.doi.org/10.33678/cor.2007.082.

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8

Clarke, Angus. „Genetic imprinting in clinical genetics“. Development 108, Supplement (01.04.1990): 131–39. http://dx.doi.org/10.1242/dev.108.supplement.131.

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Genetic, and indeed genomic, imprinting does occur in humans. This is manifest at the level of the genome, the individual chromosome, subchromosomal region or fragile site, or the single locus. The best evidence at the single gene level comes from a consideration of familial tumour syndromes. Chromosomal imprinting effects are revealed when uniparental disomy occurs, as in the Prader-Willi syndrome and doubtless other sporadic, congenital anomaly syndromes. Genomic imprinting is manifest in the developmental defects of hydatidiform mole, teratoma and triploidy. Fragile (X) mental retardation shows an unusual pattern of inheritance, and imprinting can account for these effects. Future work in clinical genetics may identify congenital anomalies and growth disorders caused by imprinting: the identification of imprinting effects for specific chromosomal regions in mice will allow the examination of the homologous chromosomal region in humans.
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9

Shanmugam, Ramalingam. „Biostatistical genetics and genetic epidemiology“. Journal of Statistical Computation and Simulation 73, Nr. 7 (Juli 2003): 543–44. http://dx.doi.org/10.1080/0094965021000044411.

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10

Siegel, PB, und EA Dunnington. „Genetic selection strategies–population genetics“. Poultry Science 76, Nr. 8 (August 1997): 1062–65. http://dx.doi.org/10.1093/ps/76.8.1062.

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11

Athanasiou, Y., M. Zavros, M. Arsali, L. Papazachariou, P. Demosthenous, I. Savva, K. Voskarides et al. „GENETIC DISEASES AND MOLECULAR GENETICS“. Nephrology Dialysis Transplantation 29, suppl 3 (01.05.2014): iii339—iii350. http://dx.doi.org/10.1093/ndt/gfu162.

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12

Ziegel, Eric R. „Biostatistical Genetics and Genetic Epidemiology“. Technometrics 44, Nr. 4 (November 2002): 409. http://dx.doi.org/10.1198/tech.2002.s98.

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13

Stekrova, J., J. Reiterova, V. Elisakova, M. Merta, M. Kohoutova, V. Tesar, S. Suvakov et al. „Genetic diseases and molecular genetics“. Clinical Kidney Journal 4, suppl 2 (01.06.2011): 4.s2.28. http://dx.doi.org/10.1093/ndtplus/4.s2.28.

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14

Caron, Paul R. „Genetic approach to chemical genetics ▾“. Drug Discovery Today 7, Nr. 22 (November 2002): 1121. http://dx.doi.org/10.1016/s1359-6446(02)02506-0.

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15

Legendre, C., D. Cohen, Y. Delmas, T. Feldkamp, D. Fouque, R. Furman, O. Gaber et al. „Genetic diseases and molecular genetics“. Nephrology Dialysis Transplantation 28, suppl 1 (01.05.2013): i309—i321. http://dx.doi.org/10.1093/ndt/gft126.

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16

Smith, Douglas M. „Genetic testingAbout epilepsy and genetics“. Neurology 92, Nr. 5 (28.01.2019): e523-e526. http://dx.doi.org/10.1212/wnl.0000000000006863.

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17

Shah, Ebrahim. „Biostatistical Genetics and Genetic Epidemiology.“ International Journal of Epidemiology 32, Nr. 3 (Juni 2003): 474. http://dx.doi.org/10.1093/ije/dyg171.

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18

Raol, Jitendra R., und Abhijit Jalisatgi. „From genetics to genetic algorithms“. Resonance 1, Nr. 8 (August 1996): 43–54. http://dx.doi.org/10.1007/bf02837022.

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19

Aiello, Lisa, Jeffrey Petersen, Julie Ann Lynch, Lori Hoffman-Hogg, Nevena Damjanov, Kyle William Robinson, Yu-Ning Wong, Darshana Jhala und Kara Noelle Maxwell. „Outcomes of an advanced practice nurse (APN)-led cancer genetics service.“ Journal of Clinical Oncology 40, Nr. 6_suppl (20.02.2022): 71. http://dx.doi.org/10.1200/jco.2022.40.6_suppl.071.

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71 Background: In oncology practice, there are increasing numbers of patients for whom genetic testing is recommended by the National Cancer Care Network (NCCN), including all metastatic and high-risk localized prostate cancer patients. However, there is a critical shortage of genetics services providers. Acuity for these consults can be high, particularly in the context of a treatment related decision. We hypothesized that nurses, particularly advanced practice nurses (APNs), can provide a workforce within VA that can address genetic testing and genetic care needs of prostate cancer patients. Methods: We initiated a cancer genetics service staffed with an advanced practice nurse (APN) geneticist and evaluated the success of the program at a large urban, academic-affiliated Veteran’s Affairs Medical Center (VAMC). Results: In the one year prior to the initiation of the APN geneticist-run program (10/1/2019-9/30/2020), 61 unaffected patients with a family history of cancer and 85 patients with cancer (36 with prostate cancer) were referred to a VA centralized telegenetics service. An average of seven cancer patients (average three with prostate cancer) were referred to VA telegenetics per month. Genetic testing was completed in eleven (18%) of unaffected patients and 21 (25%) of cancer patients. Five (13%) of tested patients were found to have a pathogenic or likely pathogenic mutation or variant of uncertain significance (VUS). In the eight months after initiation of the APN geneticist-run consult service (10/1/2020 - 5/30/2021), 39 unaffected patients with a family history of cancer and 90 patients with cancer (38 with prostate cancer) were referred. An average of 11 cancer patients (average five with prostate cancer) per month were referred. This represents a 57% increase in all cancer patient and a 67% increase in prostate cancer patient referrals. For those patients referred to the APN geneticist-run consult service, genetic testing was completed in three (7%) of unaffected patients and 30 (33%) of cancer patients (including 15 prostate cancer patients). The genetic testing rate therefore improved from 1.7 oncology patients per month to 3.9 oncology patients per month, an 130% increase in genetic testing. For prostate cancer patients, the genetic testing rate improved from 0.8 to 1.9 patients tested per month, representing a 137% increase. Comparison of genetic testing outcomes at one year will be included in the final presentation. Conclusions: Inclusion of an APN geneticist-run consult service embedded in oncology clinics will likely improve access to genetics services and genetic testing rates in cancer patients.
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20

Brower, Vicki. „From Genetic Systems to Seattle Genetics“. Nature Biotechnology 16, Nr. 6 (Juni 1998): 508. http://dx.doi.org/10.1038/nbt0698-508b.

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21

Burke, Donald S., Kenneth A. De Jong, John J. Grefenstette, Connie Loggia Ramsey und Annie S. Wu. „Putting More Genetics into Genetic Algorithms“. Evolutionary Computation 6, Nr. 4 (Dezember 1998): 387–410. http://dx.doi.org/10.1162/evco.1998.6.4.387.

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The majority of current genetic algorithms (GAs), while inspired by natural evolutionary systems, are seldom viewed as biologically plausible models. This is not a criticism of GAs, but rather a reflection of choices made regarding the level of abstraction at which biological mechanisms are modeled, and a reflection of the more engineering-oriented goals of the evolutionary computation community. Understanding better and reducing this gap between GAs and genetics has been a central issue in an interdisciplinary project whose goal is to build GA-based computational models of viral evolution. The result is a system called Virtual Virus (VIV). VIV incorporates a number of more biologically plausible mechanisms, including a more flexible genotype-to-phenotype mapping. In VIV the genes are independent of position, and genomes can vary in length and may contain noncoding regions, as well as duplicative or competing genes. Initial computational studies with VIV have already revealed several emergent phenomena of both biological and computational interest. In the absence of any penalty based on genome length, VIV develops individuals with long genomes and also performs more poorly (from a problem-solving viewpoint) than when a length penalty is used. With a fixed linear length penalty, genome length tends to increase dramatically in the early phases of evolution and then decrease to a level based on the mutation rate. The plateau genome length (i.e., the average length of individuals in the final population) generally increases in response to an increase in the base mutation rate. When VIV converges, there tend to be many copies of good alternative genes within the individuals. We observed many instances of switching between active and inactive genes during the entire evolutionary process. These observations support the conclusion that noncoding regions serve as scratch space in which VIV can explore alternative gene values. These results represent a positive step in understanding how GAs might exploit more of the power and flexibility of biological evolution while simultaneously providing better tools for understanding evolving biological systems.
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22

Lerner, Barbara, Carol Christianson, Lori Engler-Todd, Sara Goldman, Karen Greendale, Julianne M. O'Daniel, Myra I. Roche und Kerry Silvey. „Genetic Library: Genetics and Public Health“. Journal of Genetic Counseling 13, Nr. 3 (18.05.2004): 259–66. http://dx.doi.org/10.1023/b:jogc.0000027960.06945.48.

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23

Miller, Matthew A., John H. Fingert und Daniel I. Bettis. „Genetics and genetic testing for glaucoma“. Current Opinion in Ophthalmology 28, Nr. 2 (März 2017): 133–38. http://dx.doi.org/10.1097/icu.0000000000000344.

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24

Hamby, Lori, und Constance A. Griffin. „Genetic Library Video Reviews: Cancer Genetics“. Journal of Genetic Counseling 12, Nr. 2 (April 2003): 185–92. http://dx.doi.org/10.1023/a:1022615408076.

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25

Harris, Rodney. „Genetic counselling and the new genetics“. Trends in Genetics 4, Nr. 2 (Februar 1988): 52–56. http://dx.doi.org/10.1016/0168-9525(88)90067-4.

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26

Philip, Adejumo A. „P3-456: Genetics and genetic testing“. Alzheimer's & Dementia 4 (Juli 2008): T655. http://dx.doi.org/10.1016/j.jalz.2008.05.2027.

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27

Lois, Carlos, und James O. Groves. „Genetics in non-genetic model systems“. Current Opinion in Neurobiology 22, Nr. 1 (Februar 2012): 79–85. http://dx.doi.org/10.1016/j.conb.2011.11.002.

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28

Lunn, Mitchell R., und Brent R. Stockwell. „Chemical Genetics and Orphan Genetic Diseases“. Chemistry & Biology 12, Nr. 10 (Oktober 2005): 1063–73. http://dx.doi.org/10.1016/j.chembiol.2005.09.005.

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29

Sprenger, G. A., M. A. Typas und C. Drainas. „Genetics and genetic engineering ofZymomonas mobilis“. World Journal of Microbiology & Biotechnology 9, Nr. 1 (Januar 1993): 17–24. http://dx.doi.org/10.1007/bf00656509.

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30

Yan, H. „GENETICS: Genetic Testing- Present and Future“. Science 289, Nr. 5486 (15.09.2000): 1890–92. http://dx.doi.org/10.1126/science.289.5486.1890.

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31

Wierzbicki, Anthony S. „Genetics and molecular biology: Genetic epidemiology“. Current Opinion in Lipidology 15, Nr. 6 (Dezember 2004): 699–701. http://dx.doi.org/10.1097/00041433-200412000-00011.

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32

Jamieson, Annie, und Gregory Radick. „Genetic Determinism in the Genetics Curriculum“. Science & Education 26, Nr. 10 (06.07.2017): 1261–90. http://dx.doi.org/10.1007/s11191-017-9900-8.

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33

Nakamura, Yusuke. „Approaching genetic diseases by “reverse genetics”“. Japanese journal of human genetics 35, Nr. 1 (März 1990): 20–21. http://dx.doi.org/10.1007/bf01883169.

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34

Kučera, L. „D.C. Rao & M.A. Province – Advances in Genetics,Vol. 42, Genetic Dissection of Complex Traits“. Czech Journal of Genetics and Plant Breeding 38, No. 1 (30.07.2012): 64. http://dx.doi.org/10.17221/6112-cjgpb.

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35

G. Ushakiran, S. Ganga Sai Pradeepa, S. Lavanya, T. Sahithi Priya und P Krishna Kumari. „Molecular genetics“. World Journal of Advanced Research and Reviews 20, Nr. 3 (30.12.2023): 1035–39. http://dx.doi.org/10.30574/wjarr.2023.20.3.2057.

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Molecular genetics, is the study of the biochemical mechanisms of It is the study of the biochemical nature of the genetic material and it’s control of phenotype. It is the study of the connection between genotype and phenotype the connection was a chemical one. Molecular genetics often applies an "investigative approach" to determine the structure and function of genes in an organism's genome using genetic screens. Molecular genetics is a powerful methodology for linking mutations to genetic conditions that may aid the search for treatments for various genetics diseases. This field has provided insights into various biological processes, including gene regulation, heredity, evolution, and disease development. Molecular genetics techniques, such as PCR, DNA sequencing, and gene editing, have revolutionized our ability to manipulate and study genes. The integration of molecular genetics with other disciplines, like genomics and proteomics, has paved the way for advancements in personalized medicine and biotechnology .It involves analyzing the DNA and RNA molecules to understand how genetic information is stored, replicated, and expressed.
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36

Flood, Liam. „Genetics for Ent Specialists: The Molecular Genetic Basis of Ent Disorders (Genetics)“. Journal of Laryngology & Otology 119, Nr. 8 (August 2005): 665. http://dx.doi.org/10.1258/0022215054516340.

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37

Powell, Joseph E., Anjali K. Henders, Allan F. McRae, Anthony Caracella, Sara Smith, Margaret J. Wright, John B. Whitfield et al. „The Brisbane Systems Genetics Study: Genetical Genomics Meets Complex Trait Genetics“. PLoS ONE 7, Nr. 4 (26.04.2012): e35430. http://dx.doi.org/10.1371/journal.pone.0035430.

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38

Singh, Kuldeep, Pratibha Singh und Daisy Khera. „Genetics of Obesity“. Indian Journal of Genetics and Molecular Research 6, Nr. 1 (2017): 19–22. http://dx.doi.org/10.21088/ijgmr.2319.4782.6117.3.

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39

Paaby, Annalise, und Greg Gibson. „Cryptic Genetic Variation in Evolutionary Developmental Genetics“. Biology 5, Nr. 2 (13.06.2016): 28. http://dx.doi.org/10.3390/biology5020028.

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40

Curnow, R. N., A. H. D. Brown, M. T. Clegg, A. L. Kahler und B. S. Weir. „Plant Population Genetics, Breeding, and Genetic Resources.“ Biometrics 46, Nr. 4 (Dezember 1990): 1241. http://dx.doi.org/10.2307/2532478.

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41

Wang, Guoliang, Ruirui Ji, Wenxin Zou, Daniel J. Penny und Yuxin Fan. „Inherited Cardiomyopathies: Genetics and Clinical Genetic Testing“. Cardiovascular Innovations and Applications 2, Nr. 2 (01.02.2017): 297–308. http://dx.doi.org/10.15212/cvia.2017.0015.

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42

Kuchuk, N. V. „Cell genetic engineering: Transmission genetics of plants“. Cytology and Genetics 51, Nr. 2 (März 2017): 103–7. http://dx.doi.org/10.3103/s0095452717020062.

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43

Aslamkhan, Muhammad. „Clinical Genetics and Genetic Counselling in Pakistan“. Journal of Genes and Cells 1, Nr. 2 (02.04.2015): 31. http://dx.doi.org/10.15562/gnc.17.

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44

FRANK, D. W., und T. C. ZAHRT. „Genetics and Genetic Manipulation in Francisella Tularensis“. Annals of the New York Academy of Sciences 1105, Nr. 1 (29.03.2007): 67–97. http://dx.doi.org/10.1196/annals.1409.008.

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45

Dawes, Ian W. „Yeast genetics: Genetic control mechanisms: transcriptional twisting“. Nature 324, Nr. 6094 (November 1986): 214. http://dx.doi.org/10.1038/324214a0.

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46

Moreno, Victor. „Book Review: Biostatistical genetics and genetic epidemiology“. Statistical Methods in Medical Research 14, Nr. 1 (Februar 2005): 115–16. http://dx.doi.org/10.1177/096228020501400109.

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47

Lacombe, Didier. „Teeth anomalies and genetics, including genetic syndromes“. European Journal of Human Genetics 22, Nr. 11 (16.10.2014): 1339. http://dx.doi.org/10.1038/ejhg.2014.98.

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48

Lyons, Leslie A. „Feline Genetics: Clinical Applications and Genetic Testing“. Topics in Companion Animal Medicine 25, Nr. 4 (November 2010): 203–12. http://dx.doi.org/10.1053/j.tcam.2010.09.002.

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49

Fulton, J. E. „GENETICS: Poultry Genetic Resources--Operation Rescue Needed“. Science 300, Nr. 5626 (13.06.2003): 1667–68. http://dx.doi.org/10.1126/science.1085407.

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50

Hofman, K. J., E. S. Tambor, G. A. Chase, G. Geller, R. R. Faden und N. A. Holtzman. „Physiciansʼ knowledge of genetics and genetic tests“. Academic Medicine 68, Nr. 8 (August 1993): 625–32. http://dx.doi.org/10.1097/00001888-199308000-00013.

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