Bernie Devlin

Last updated
Bernie Devlin
Born
Bernard J. Devlin
Alma mater Pennsylvania State University
Known for Genetics of autism
Psychiatric genetics
Statistical genetics
Spouse(s) Kathryn Roeder
ChildrenSummer Devlin
AwardsFellow of the American Association for the Advancement of Science
Scientific career
Fields Psychiatry
Institutions Yale University School of Medicine
University of Pittsburgh
Thesis Studies on the female and male reproductive functions with a hermaphroditic species, Lobelia cardinalis (1986)

Bernard J. Devlin is an American psychiatrist who is Professor of Psychiatry and Clinical and Translational Science at the University of Pittsburgh. An expert on statistical and psychiatric genetics, he is a fellow of the statistics section of the American Association for the Advancement of Science. [1] He is also a member of the American Society of Human Genetics, the Genetics Society of America, and the International Society for Autism Research. [2] Before joining the faculty of the University of Pittsburgh, he worked at the Yale School of Medicine, where he conducted research with Neil Risch on the utility of DNA tests. [3] [4] He is married to Kathryn Roeder, a professor at Carnegie Mellon University, with whom he often collaborates on research. Topics that Devlin and Roeder have studied together include the genetic basis of autism. [5] Devlin and Roeder have a daughter, Summer. [6]

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Genomic control (GC) is a statistical method that is commonly used to control for the confounding effects of population stratification in genetic association studies. The method was originally outlined by Bernie Devlin and Kathryn Roeder in a 1999 paper. It involves using a set of anonymous genetic markers to estimate the effect of population structure on the distribution of the chi-square statistic. The distribution of the chi-square statistics for a given allele that is suspected to be associated with a given trait can then be compared to the distribution of the same statistics for an allele that is expected not to be related to the trait. The method is supposed to involve the use of markers that are not linked to the marker being tested for a possible association. In theory, it takes advantage of the tendency of population structure to cause overdispersion of test statistics in association analyses. The genomic control method is as robust as family-based designs, despite being applied to population-based data. It has the potential to lead to a decrease in statistical power to detect a true association, and it may also fail to completely eliminate the biasing effects of population stratification. A more robust form of the genomic control method can be performed by expressing the association being studied as two Cochran–Armitage trend tests, and then applying the method to each test separately.

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References

  1. "Bernie Devlin". Carnegie Mellon University. Retrieved 2018-11-19.
  2. "Bernie J Devlin, PhD". University of Pittsburgh Department of Psychiatry. Retrieved 2018-11-19.
  3. AP (1990-09-23). "Yale Research on Genetic Testing Supports Use of DNA Fingerprints". The New York Times. Retrieved 2018-11-19.
  4. Kolata, Gina (1992-02-07). "Scientists Say DNA Analysis Is Reliable in Identifying Suspects". The New York Times. Retrieved 2018-11-19.
  5. "Pittsburgh researchers explain complex genetics involved in autism". Pittsburgh Post-Gazette. 2014-11-04. Retrieved 2018-11-19.
  6. Wills, Rick. "Newsmaker: Kathryn Roeder". TribLIVE.com. Retrieved 2018-11-19.