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Richard N. Bergman

Researcher at Cedars-Sinai Medical Center

Publications -  489
Citations -  97005

Richard N. Bergman is an academic researcher from Cedars-Sinai Medical Center. The author has contributed to research in topics: Insulin & Insulin resistance. The author has an hindex of 130, co-authored 477 publications receiving 91718 citations. Previous affiliations of Richard N. Bergman include University of Southern California & University of California, Los Angeles.

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Journal ArticleDOI

Variation in the resistin gene is associated with obesity and insulin-related phenotypes in Finnish subjects.

Karen N. Conneely, +14 more
- 27 Oct 2004 - 
TL;DR: Analysis of variants of the resistin gene for association with Type 2 diabetes and related traits in a Finnish sample added to growing evidence that resistin is associated with variation in weight, fat distribution and insulin resistance.
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Treatment with a somatostatin analog decreases pancreatic B-cell and whole body sensitivity to glucose.

Steven E. Kahn, +6 more
- 01 Oct 1990 - 
TL;DR: To determine the specific alteration in B-cell function caused by a somatostatin analog in man and to determine the effect of the induced insulin deficiency on insulin action,Octreotide was administered to nine healthy male subjects to develop mild fasting hyperglycemia, marked fasting hypoinsulinemia, and the development of marked insulin deficiency.
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Quantitation of measurement error with Optimal Segments: basis for adaptive time course smoothing

David C. Bradley, +2 more
- 01 Jun 1993 - 
TL;DR: It is suggested that the ability to calculate measurement error and reconstruct the error-free shape of data curves has wide applicability in data analysis and experimental design.

Defining the role of common variation in the genomic and biological architecture of adult human height

Andrew R. Wood, +444 more
TL;DR: The results indicate a genetic architecture for human height that is characterized by a very large but finite number of causal variants, including mTOR, osteoglycin and binding of hyaluronic acid.
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Repeatability of Insulin Sensitivity and Glucose Effectiveness From the Minimal Model: Implications for Study Design

Garry M. Steil, +3 more
- 01 Nov 1994 - 
TL;DR: Power calculations using the observed variances from the full and reduced data sets indicated that the full sample protocol is preferable for small studies designed to detect small changes in Si, whereas the reduced sample Protocol is appropriate for studies with large numbers of subjects or large anticipated changes inSi.