Karen Schlauch: Difference between revisions
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'''Karen Schlauch''', PhD, is a mathematician in the Molecular Biosciences department of the [[University of Nevada, Reno]], US. She has worked on the [[genetics of chronic fatigue syndrome]]. | '''Karen Schlauch''', PhD, is a mathematician in the Molecular Biosciences department of the [[University of Nevada, Reno]], US.<ref name=":0">{{Cite web|url=https://www.unr.edu/molecular-biosciences/faculty/karen-schlauch-x99854|title=Karen Schlauch|website=www.unr.edu|language=en|access-date=2019-07-27}}</ref> She has worked on the [[genetics of chronic fatigue syndrome]]. | ||
==Education== | ==Education== | ||
* 1989, B.S., Mathematics/Computer Science, University of Illinois | * 1989, B.S., Mathematics/Computer Science, University of Illinois<ref name=":0" /> | ||
* 1991, M.A., Mathematics, Eastern Illinois University | * 1991, M.A., Mathematics, Eastern Illinois University<ref name=":0" /> | ||
* 1994, M.S., Mathematics, New Mexico State University | * 1994, M.S., Mathematics, New Mexico State University<ref name=":0" /> | ||
* 1998, Ph.D., Mathematics, New Mexico State University | * 1998, Ph.D., Mathematics, New Mexico State University<ref name=":0" /> | ||
==Research== | ==Research== | ||
Schlauch develops mathematical and statistical techniques to use in analysis of large and complex whole-Omics experiments for biological hypotheses. Collaborating physicians, she has worked to predict possible associations of genotype and disease in conditions including [[pre-term labor]], [[Chronic Fatigue Syndrome]], [[Gulf War Syndrome]], [[Alzheimer's disease]] and [[obesity]]. | Schlauch develops mathematical and statistical techniques to use in analysis of large and complex whole-Omics experiments for biological hypotheses.<ref name=":0" /> Collaborating physicians, she has worked to predict possible associations of genotype and disease in conditions including [[pre-term labor]], [[Chronic Fatigue Syndrome]], [[Gulf War Syndrome]], [[Alzheimer's disease]] and [[obesity]].<ref name=":0" /> | ||
Schlauch is the lead statistical geneticist on the Healthy Nevada Project housed at the Desert Research Institute and Renown Hospital. | Schlauch is the lead statistical geneticist on the Healthy Nevada Project housed at the Desert Research Institute and Renown Hospital.<ref name=":0" /> | ||
==Publications== | ==Publications== |
Revision as of 06:52, July 27, 2019
Karen Schlauch, PhD, is a mathematician in the Molecular Biosciences department of the University of Nevada, Reno, US.[1] She has worked on the genetics of chronic fatigue syndrome.
Education[edit | edit source]
- 1989, B.S., Mathematics/Computer Science, University of Illinois[1]
- 1991, M.A., Mathematics, Eastern Illinois University[1]
- 1994, M.S., Mathematics, New Mexico State University[1]
- 1998, Ph.D., Mathematics, New Mexico State University[1]
Research[edit | edit source]
Schlauch develops mathematical and statistical techniques to use in analysis of large and complex whole-Omics experiments for biological hypotheses.[1] Collaborating physicians, she has worked to predict possible associations of genotype and disease in conditions including pre-term labor, Chronic Fatigue Syndrome, Gulf War Syndrome, Alzheimer's disease and obesity.[1]
Schlauch is the lead statistical geneticist on the Healthy Nevada Project housed at the Desert Research Institute and Renown Hospital.[1]
Publications[edit | edit source]
- 2016, Genome-wide association analysis identifies genetic variations in subjects with myalgic encephalomyelitis/chronic fatigue syndrome[2] (Full text)
References[edit | edit source]
- ↑ 1.0 1.1 1.2 1.3 1.4 1.5 1.6 1.7 "Karen Schlauch". www.unr.edu. Retrieved July 27, 2019.
- ↑ Schlauch, Karen A.; Khaiboullina, Svetlana F.; De Meirleir, Kenny L.; Rawat, Shanti; Petereit, J; Rizvanov, Albert A; Blatt, Nataliya; Mijatovic, Tatjana; Kulick, D; Palotás, András; Lombardi, Vincent C. (2016), "Genome-wide association analysis identifies genetic variations in subjects with myalgic encephalomyelitis/chronic fatigue syndrome", Translational Psychiatry, 6 (2): e730, doi:10.1038/tp.2015.208