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Bibliografías temáticas / Genetic epidemiology / Artículos de revistas

Artículos de revistas sobre el tema "Genetic epidemiology"

Siga este enlace para ver otros tipos de publicaciones sobre el tema: Genetic epidemiology.

Autor: Grafiati

Publicado: 4 de junio de 2021

Última modificación: 11 de marzo de 2023

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1

Chakravarti, Aravinda y John J. Mulvihill. "Genetic Epidemiology and genetic Epidemiology". Genetic Epidemiology 9, n.º 1 (1992): i—ii. http://dx.doi.org/10.1002/gepi.1370090102.

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2

Shanmugam, Ramalingam. "Biostatistical genetics and genetic epidemiology". Journal of Statistical Computation and Simulation 73, n.º 7 (julio de 2003): 543–44. http://dx.doi.org/10.1080/0094965021000044411.

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3

Ziegel, Eric R. "Biostatistical Genetics and Genetic Epidemiology". Technometrics 44, n.º 4 (noviembre de 2002): 409. http://dx.doi.org/10.1198/tech.2002.s98.

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4

Shah, Ebrahim. "Biostatistical Genetics and Genetic Epidemiology." International Journal of Epidemiology 32, n.º 3 (junio de 2003): 474. http://dx.doi.org/10.1093/ije/dyg171.

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5

Dunbar, JK y H. Campbell. "Genetic epidemiology". Journal of the Royal College of Physicians of Edinburgh 42, n.º 2 (2012): 139–42. http://dx.doi.org/10.4997/jrcpe.2012.211.

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6

Sham, P. "Genetic epidemiology". British Medical Bulletin 52, n.º 3 (1 de julio de 1996): 408–33. http://dx.doi.org/10.1093/oxfordjournals.bmb.a011557.

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7

MORTON, N. E. "Genetic Epidemiology". Annals of Human Genetics 61, n.º 1 (enero de 1997): 1–13. http://dx.doi.org/10.1046/j.1469-1809.1997.6110001.x.

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8

&NA;. "Genetic Epidemiology". Alzheimer Disease & Associated Disorders 2, n.º 4 (1988): 419. http://dx.doi.org/10.1097/00002093-198802040-00050.

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9

MORTON, N. E. "Genetic Epidemiology". Annals of Human Genetics 61, n.º 1 (enero de 1997): 1–13. http://dx.doi.org/10.1017/s0003480096005891.

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10

Morton, N. E. "Genetic Epidemiology". Annual Review of Genetics 27, n.º 1 (diciembre de 1993): 523–38. http://dx.doi.org/10.1146/annurev.ge.27.120193.002515.

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11

Duggal, P. "Genetic Epidemiology". American Journal of Epidemiology 176, n.º 2 (25 de junio de 2012): 176. http://dx.doi.org/10.1093/aje/kws184.

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12

Stoll, Claude. "Genetic Epidemiology". European Journal of Human Genetics 13, n.º 7 (23 de junio de 2005): 890. http://dx.doi.org/10.1038/sj.ejhg.5201397.

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13

&NA;. "GENETIC EPIDEMIOLOGY". Psychiatric Genetics 3, n.º 3 (1993): 176–82. http://dx.doi.org/10.1097/00041444-199323000-00023.

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14

Wichmann, H. E. "Genetic Epidemiology in Germany". Methods of Information in Medicine 44, n.º 04 (2005): 584–89. http://dx.doi.org/10.1055/s-0038-1634011.

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Summary Objectives: Genetic epidemiology investigates the role of genetic factors and their interaction with environmental factors (in a broad meaning) for the occurrence of diseases in human populations. Its aim is to undest-and the influence of genetics on the development of dis-eases, their course and the clinical implications, with the final goal to improve prevention, diagnostics and therapy. Methods: Originally genetic epidemiology was understood as a specialized discipline with the main focus on family-based studies. The extraordinary development of genetics in the last decades – with respect of the understanding of the meaning of genes for human health, as well as by the availability of cost-effective high throughput methods in the lab, has opened enormous opportunities to study genetic factors. Now, genetic epidemiology and genetic statistics have a much broader application. In addition, access to large samples of patients or from the population is needed. This can be realized via biobanks. Results: Large biobanks with 500,000 or more patients or participants from the general population are being established or planned in the UK, Japan or the US. However, in Germany only two smaller activities are ongoing, KORA-gen in the south and POPGEN in the north. Possibilities to reach larger numbers, based on existing cohorts or disease networks are discussed. Ethical boundary conditions have to be taken into account, which seem to improve due to the Opinion of the German National Ethics Council on Biobanks for Research. Furthermore, the activities of the German centers for Genetic Epidemiological Methods (GEMs) as research and support units for genetic statistics and epidemiological methodology are described. Conclusions: Genetic epidemiology is based strongly on interdisciplinary collaboration and includes basics of genetics, elements of molecular biology to identify genes, population genetics, clinical medicine, and methodological disciplines as epidemiology, biostatistics and bioinformatics. In Germany the situation for this type of patient-based research has recently improved due to the National Genome Research Network (NGFN).

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15

Wierzbicki, Anthony S. "Genetics and molecular biology: Genetic epidemiology". Current Opinion in Lipidology 15, n.º 6 (diciembre de 2004): 699–701. http://dx.doi.org/10.1097/00041433-200412000-00011.

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16

Hopper, J. L. "The Epidemiology of Genetic Epidemiology". Acta geneticae medicae et gemellologiae: twin research 41, n.º 4 (octubre de 1992): 261–73. http://dx.doi.org/10.1017/s0001566000002129.

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AbstractFamilial aggregation for disease is important; strong familial risk factors must exist even if the increased risk to a relative of an affected individual is modest. It is in practice difficult, however, to conduct studies in genetic epidemiology which conform to strict epidemiological principles. For twin studies there are two major questions: Are twins ‘no different’ from the population on which inference is to be made? Are study twins ‘no different’ to twins in the population? The importance of each question of bias depends on the scientific question, the trait(s) studied, and sampling issues. The strength of the twin design is its ability to refute the null hypothesis that genetic factors do not explain variation in a trait. Following the Popperian paradigm, alternate hypotheses should be considered in depth (both theoretically and empirically), with a design and sample size sufficient to exclude not just naive explanations. More sophisticated statistical techniques are now being applied, so the philosophy, assumptions, and limitations of statistical modelling must be appreciated. The concept of ‘heritability’ has, in the past, been misunderstood and misused. New advances in DNA technology promise to revolutionise epidemiological thinking, and so case-control-pedigree designs may well become standard tools. The strengths and limitations of studies based on related individuals as the sampling unit are discussed.

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17

Benke, Kelly S. y M. Daniele Fallin. "Methods: Genetic Epidemiology". Clinics in Laboratory Medicine 30, n.º 4 (diciembre de 2010): 795–814. http://dx.doi.org/10.1016/j.cll.2010.07.002.

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18

Benke, Kelly S. y M. Daniele Fallin. "Methods: Genetic Epidemiology". Psychiatric Clinics of North America 33, n.º 1 (marzo de 2010): 15–34. http://dx.doi.org/10.1016/j.psc.2009.12.005.

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19

Sloan, Chantel D., Eric J. Duell, Xun Shi, Rebecca Irwin, Angeline S. Andrew, Scott M. Williams y Jason H. Moore. "Ecogeographic genetic epidemiology". Genetic Epidemiology 33, n.º 4 (mayo de 2009): 281–89. http://dx.doi.org/10.1002/gepi.20386.

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20

Moreno, Victor. "Book Review: Biostatistical genetics and genetic epidemiology". Statistical Methods in Medical Research 14, n.º 1 (febrero de 2005): 115–16. http://dx.doi.org/10.1177/096228020501400109.

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21

Risch, N. "Evolving Methods in Genetic Epidemiology. II. Genetic Linkage from an Epidemiologic Perspective". Epidemiologic Reviews 19, n.º 1 (1 de enero de 1997): 24–32. http://dx.doi.org/10.1093/oxfordjournals.epirev.a017942.

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22

Veldink, Jan H. "ALS genetic epidemiology ‘How simplex is the genetic epidemiology of ALS?’". Journal of Neurology, Neurosurgery & Psychiatry 88, n.º 7 (16 de febrero de 2017): 537. http://dx.doi.org/10.1136/jnnp-2016-315469.

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23

Weiss, Joli R., Kirsten B. Moysich y Helen Swede. "Epidemiology of Male Breast Cancer". Cancer Epidemiology, Biomarkers & Prevention 14, n.º 1 (1 de enero de 2005): 20–26. http://dx.doi.org/10.1158/1055-9965.20.14.1.

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Abstract Breast cancer in men is a rare disease, accounting for ∼1% of all breast cancer cases. Although the epidemiologic literature regarding female breast cancer is extensive, relatively little is known about the etiology of male breast cancer (MBC). This review is intended to summarize the existing body of evidence on genetic and epidemiologic risk factors for breast cancer in men. Overall, the epidemiology of MBC presents similarities with the epidemiology of female breast cancer. Major genetic factors associated with an increased risk of breast cancer for men include BRCA2 mutations, which are believed to account for the majority of inherited breast cancer in men, Klinefelter syndrome, and a positive family history. Suspected genetic factors include AR gene mutations, CYP17 polymorphism, Cowden syndrome, and CHEK2. Epidemiologic risk factors for MBC include disorders relating to hormonal imbalances, such as obesity, testicular disorders (e.g., cryptorchidism, mumps orchitis, and orchiectomy), and radiation exposure. Suspected epidemiologic risk factors include prostate cancer,prostate cancer treatment, gynecomastia, occupational exposures (e.g., electromagnetic fields, polycyclic aromatic hydrocarbons, and high temperatures), dietary factors (e.g., meat intake and fruit and vegetable consumption), and alcohol intake.

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24

Couch, Fergus. "Genetic Epidemiology of BRCA1". Cancer Biology & Therapy 3, n.º 6 (junio de 2004): 509–14. http://dx.doi.org/10.4161/cbt.3.6.840.

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25

Ribero, Simone, Dan Glass y Veronique Bataille. "Genetic epidemiology of melanoma". European Journal of Dermatology 26, n.º 4 (julio de 2016): 335–39. http://dx.doi.org/10.1684/ejd.2016.2787.

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26

Ioannidis, J. P. A. "Genetic and molecular epidemiology". Journal of Epidemiology & Community Health 61, n.º 9 (1 de septiembre de 2007): 757–58. http://dx.doi.org/10.1136/jech.2006.059055.

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27

Ottman, R. "Genetic Epidemiology of Epilepsy". Epidemiologic Reviews 19, n.º 1 (1 de enero de 1997): 120–28. http://dx.doi.org/10.1093/oxfordjournals.epirev.a017934.

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28

Duffy, D. L. "Genetic Epidemiology of Asthma". Epidemiologic Reviews 19, n.º 1 (1 de enero de 1997): 129–43. http://dx.doi.org/10.1093/oxfordjournals.epirev.a017935.

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29

HARRIS, EMILY L. "GENETIC EPIDEMIOLOGY OF HYPOSPADIAS". Epidemiologic Reviews 12, n.º 1 (1990): 29–40. http://dx.doi.org/10.1093/oxfordjournals.epirev.a036060.

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30

Permutt, M. A. "Genetic epidemiology of diabetes". Journal of Clinical Investigation 115, n.º 6 (1 de junio de 2005): 1431–39. http://dx.doi.org/10.1172/jci24758.

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31

Bishop, D. T. "Fundamentals of Genetic Epidemiology". Journal of Medical Genetics 31, n.º 11 (1 de noviembre de 1994): 900. http://dx.doi.org/10.1136/jmg.31.11.900.

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32

Yang, W., T. Kelly y J. He. "Genetic Epidemiology of Obesity". Epidemiologic Reviews 29, n.º 1 (2 de mayo de 2007): 49–61. http://dx.doi.org/10.1093/epirev/mxm004.

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33

Cauley, Jane A., Janice S. Dorman y Mary Ganguli. "GENETIC AND AGING EPIDEMIOLOGY". Neurologic Clinics 14, n.º 2 (mayo de 1996): 467–75. http://dx.doi.org/10.1016/s0733-8619(05)70268-1.

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34

Silverman, Edwin K. "Genetic Epidemiology of COPD". Chest 121, n.º 3 (marzo de 2002): 1S—6S. http://dx.doi.org/10.1378/chest.121.3_suppl.1s-a.

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35

Bataille, V. "Genetic epidemiology of melanoma". European Journal of Cancer 39, n.º 10 (julio de 2003): 1341–47. http://dx.doi.org/10.1016/s0959-8049(03)00313-7.

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36

Malmer, B., L. Iselius, E. Holmberg, A. Collins, R. Henriksson y H. Grönberg. "Genetic epidemiology of glioma". British Journal of Cancer 84, n.º 3 (2001): 429–34. http://dx.doi.org/10.1054/bjoc.2000.1612.

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37

Maier, W. "Genetic Epidemiology of Schizophrenia". European Psychiatry 12, S2 (1997): 120s. http://dx.doi.org/10.1016/s0924-9338(97)80296-9.

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38

Goncharov, M. "Genetic Epidemiology of Schizophrenia". European Psychiatry 12, S2 (1997): 209s. http://dx.doi.org/10.1016/s0924-9338(97)80646-3.

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39

Young, Ian D. "Fundamentals of genetic epidemiology". Neuromuscular Disorders 4, n.º 3 (mayo de 1994): 291. http://dx.doi.org/10.1016/0960-8966(94)90036-1.

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40

Tsuang, Ming T. "Genetic epidemiology of schizophrenia". Journal of the Neurological Sciences 120, n.º 1 (diciembre de 1993): 3–4. http://dx.doi.org/10.1016/0022-510x(93)90007-l.

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41

Williams, Michael A., Robyn Carson, Peter Passmore, Giuliana Silvestri y David Craig. "Introduction to genetic epidemiology". Optometry - Journal of the American Optometric Association 82, n.º 2 (febrero de 2011): 83–91. http://dx.doi.org/10.1016/j.optm.2010.01.014.

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42

Gupta, Rashmi, Maya G. Debbaneh y Wilson Liao. "Genetic Epidemiology of Psoriasis". Current Dermatology Reports 3, n.º 1 (19 de enero de 2014): 61–78. http://dx.doi.org/10.1007/s13671-013-0066-6.

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43

Morton, Newton E. "Foundations of genetic epidemiology". Journal of Genetics 65, n.º 3 (diciembre de 1986): 205–12. http://dx.doi.org/10.1007/bf02931152.

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44

Harvald, Bent. "Genetic epidemiology of Greenland". Clinical Genetics 36, n.º 5 (28 de junio de 2008): 364–67. http://dx.doi.org/10.1111/j.1399-0004.1989.tb03214.x.

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45

Heath, Andrew C. "Genetic Epidemiology and Psychopathology". Contemporary Psychology: A Journal of Reviews 37, n.º 12 (diciembre de 1992): 1287–89. http://dx.doi.org/10.1037/031702.

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46

Wilson, A. F., F. Gagnon y A. Ziegler. "Informatics and Genetic Epidemiology". Methods of Information in Medicine 53, n.º 01 (2014): 1–2. http://dx.doi.org/10.1055/s-0038-1627065.

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47

Hochberg, Marc C., Laura Yerges-Armstrong, Michelle Yau y Braxton D. Mitchell. "Genetic epidemiology of osteoarthritis". Current Opinion in Rheumatology 25, n.º 2 (marzo de 2013): 192–97. http://dx.doi.org/10.1097/bor.0b013e32835cfb8e.

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48

Kendler, Kenneth S. "Genetic Epidemiology in Psychiatry". Archives of General Psychiatry 52, n.º 11 (1 de noviembre de 1995): 895. http://dx.doi.org/10.1001/archpsyc.1995.03950230009003.

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49

Schaid, Daniel J. "Genetic epidemiology and haplotypes". Genetic Epidemiology 27, n.º 4 (2004): 317–20. http://dx.doi.org/10.1002/gepi.20046.

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50

Schaid, Daniel J. "Genetic epidemiology and microarrays". Genetic Epidemiology 23, n.º 1 (junio de 2002): 1–3. http://dx.doi.org/10.1002/gepi.233.

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