Richard M. Watanabe

ORCID: 0000-0003-1015-0531
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About
Contact & Profiles
Research Areas
  • Genetic Associations and Epidemiology
  • Pancreatic function and diabetes
  • Metabolism, Diabetes, and Cancer
  • Genetic Mapping and Diversity in Plants and Animals
  • Liver Disease Diagnosis and Treatment
  • Diabetes Management and Research
  • Diabetes and associated disorders
  • Diet, Metabolism, and Disease
  • Adipose Tissue and Metabolism
  • Diabetes, Cardiovascular Risks, and Lipoproteins
  • Peroxisome Proliferator-Activated Receptors
  • Epigenetics and DNA Methylation
  • Diabetes Treatment and Management
  • Diet and metabolism studies
  • Cancer-related molecular mechanisms research
  • RNA modifications and cancer
  • Nutrition, Genetics, and Disease
  • Endoplasmic Reticulum Stress and Disease
  • Regulation of Appetite and Obesity
  • Genetics and Neurodevelopmental Disorders
  • Obesity, Physical Activity, Diet
  • Bioinformatics and Genomic Networks
  • Adipokines, Inflammation, and Metabolic Diseases
  • Genetic and phenotypic traits in livestock
  • Gestational Diabetes Research and Management

University of Southern California
2012-2025

Keck Hospital of USC
2015-2025

TU Dresden
2020

University of Virginia
2015

Cedars-Sinai Medical Center
2012

University Hospital of Zurich
2011

Carnegie Mellon University
2011

National Human Genome Research Institute
1999-2007

Calvin University
2007

Johns Hopkins University
2007

Elizabeth K. Speliotes Cristen J. Willer Sonja I. Berndt Keri L. Monda Guðmar Þorleifsson and 95 more Anne Jackson Hana Lango Allen Cecilia M. Lindgren Jian’an Luan Reedik Mägi Joshua C. Randall Sailaja Vedantam Thomas W. Winkler Lu Qi Tsegaselassie Workalemahu Iris M. Heid Valgerður Steinthórsdóttir Heather M. Stringham Michael N. Weedon Eleanor Wheeler Andrew R. Wood Teresa Ferreira Robert J. Weyant Ayellet V. Segrè Karol Estrada Liming Liang James Nemesh Ju-Hyun Park Stefan Gustafsson Tuomas O. Kilpeläinen Jian Yang Nabila Bouatia‐Naji Tõnu Esko Mary F. Feitosa Zoltán Kutalik Massimo Mangino Soumya Raychaudhuri André Scherag Albert V. Smith Ryan Welch Wei Zhao Katja K.H. Aben Devin M. Absher Najaf Amin Anna Dixon Eva Fisher Nicole L. Glazer Michael E. Goddard Nancy L. Heard‐Costa Volker Hoesel Jouke‐Jan Hottenga Åsa Johansson Toby Johnson Shamika Ketkar Claudia Lamina Shengxu Li Miriam F. Moffatt Richard H. Myers Narisu Narisu John R. B. Perry Marjolein J. Peters Michael Preuß Samuli Ripatti Fernando Rivadeneira Camilla H. Sandholt Laura J. Scott Nicholas J. Timpson Jonathan P. Tyrer S. van Wingerden Richard M. Watanabe Charles C. White Fredrik Wiklund Cristina Barlassina Daniel I. Chasman Matthew N. Cooper John‐Olov Jansson Robert Lawrence Niina Pellikka Inga Prokopenko Jianxin Shi Elisabeth Thiering Helene Alavere Maria Teresa Sciarrone Alibrandi Peter Almgren Alice M. Arnold Thor Aspelund Larry D. Atwood Beverley Balkau Anthony J. Balmforth Amanda J. Bennett Yoav Ben‐Shlomo Richard N. Bergman Sven Bergmann Heike Biebermann Alexandra I. F. Blakemore Tanja Boes Lori L. Bonnycastle Stefan R. Bornstein Matthew A. Brown Thomas A. Buchanan

10.1038/ng.686 article EN Nature Genetics 2010-10-10

Identifying the genetic variants that increase risk of type 2 diabetes (T2D) in humans has been a formidable challenge. Adopting genome-wide association strategy, we genotyped 1161 Finnish T2D cases and 1174 normal glucose-tolerant (NGT) controls with >315,000 single-nucleotide polymorphisms (SNPs) imputed genotypes for an additional >2 million autosomal SNPs. We carried out analysis these SNPs to identify predispose T2D, compared our results two similar studies, 80 1215 1258 NGT controls....

10.1126/science.1142382 article EN Science 2007-04-27

Obesity is a growing problem in the United States and throughout world. It risk factor for many chronic diseases. The BMI has been used to assess body fat almost 200 years. known be of limited accuracy, different males females with similar %body adiposity. Here, we define an alternative parameter, adiposity index (BAI = ((hip circumference)/((height)(1.5))-18)). BAI can reflect adult men women differing ethnicities without numerical correction. We population study, "BetaGene" develop new...

10.1038/oby.2011.38 article EN Obesity 2011-03-04

The Bergman Minimal Model enables estimation of two key indices glucose/insulin dynamics: glucose effectiveness and insulin sensitivity. In this paper we describe MINMOD Millennium, the latest Windows-based version minimal model software. Extensive beta testing Millennium has shown that it is user-friendly, fully automatic, fast, accurate, reproducible, repeatable, highly concordant with past versions MINMOD. It a simple interface, comprehensive help system, an input file editor, converter,...

10.1089/152091503322641060 article EN Diabetes Technology & Therapeutics 2003-12-01

An insulin-modified frequently sampled intravenous glucose tolerance test (FSIGTT) with minimal model analysis was compared the clamp in 11 subjects normal (NGT), 20 impaired (IGT), and 24 non-insulin-dependent diabetes mellitus (NIDDM). The insulin sensitivity index (SI) calculated from FSIGTT using 22- 12-sample protocols (SI(22) SI(12), respectively). Insulin expressed as SI(clamp) SIP(clamp). Minimal parameters were similar when SI(22) SI(12). SI could not be distinguished 0 ∼ 50% of...

10.2337/diab.43.9.1114 article EN Diabetes 1994-09-01

OBJECTIVE Recent genome-wide association studies have revealed loci associated with glucose and insulin-related traits. We aimed to characterize 19 such using detailed measures of insulin processing, secretion, sensitivity help elucidate their role in regulation control, secretion and/or action. RESEARCH DESIGN AND METHODS investigated associations identified by the Meta-Analyses Glucose Insulin-related traits Consortium (MAGIC) circulating proinsulin, from oral tolerance tests (OGTTs),...

10.2337/db09-1568 article EN cc-by-nc-nd Diabetes 2010-02-25

OBJECTIVE To examine the effects of caloric restriction, independent differences in weight loss, on improvements glycemic control, fasting insulin, and insulin sensitivity. RESEARCH DESIGN AND METHODS We randomized 93 obese type II diabetic patients to two different degrees calorie restriction (1,674 or 4,185 kJ/day; 400 1,000 kcal/day) compared changes glucose, sensitivity that resulted from a comparable reduction body (11% initial weight). Insulin was assessed using minimal model analysis...

10.2337/diacare.17.1.30 article EN Diabetes Care 1994-01-01

The Finland-United States Investigation Of NIDDM Genetics (FUSION) study aims to identify genetic variants that predispose type 2 diabetes by studying affected sibling pair families from Finland. Chromosome 20 showed our strongest initial evidence for linkage. It currently has a maximum logarithm of odds (LOD) score 2.48 at 70 cM in set 495 families. In this study, we searched susceptibility variant(s) 20q13 genotyping single nucleotide polymorphism (SNP) markers case and control DNA pools....

10.2337/diabetes.53.4.1141 article EN Diabetes 2004-04-01

OBJECTIVE—The objective of this study was to compare insulin resistance relative body fat and the associated compensatory responses in 57 healthy children living Los Angeles, California (14 Caucasians, 15 African-Americans, 28 Hispanics). RESEARCH DESIGN AND METHODS—Insulin sensitivity acute response were determined by intravenous glucose tolerance test. Insulin secretion, hepatic extraction, clearance estimated C-peptide modeling. RESULTS—Insulin significantly lower Hispanics...

10.2337/diacare.25.12.2184 article EN Diabetes Care 2002-12-01

We are conducting a genome scan at an average resolution of 10 centimorgans (cM) for type 2 diabetes susceptibility genes in 716 affected sib pairs from 477 Finnish families. To date, our best evidence linkage is on chromosome 20 with potentially separable peaks located both the long and short arms. The unweighted multipoint maximum logarithm odds score (MLS) was 3.08 20p (location, x̂ = 19.5 cM) under additive model, whereas weighted MLS 2.06 20q ( 57 cM, recurrence risk, λ̂ s 1.25, P...

10.1073/pnas.96.5.2198 article EN Proceedings of the National Academy of Sciences 1999-03-02

Identifying the genetic variants that regulate fasting glucose concentrations may further our understanding of pathogenesis diabetes. We therefore investigated association levels with SNPs in 2 genome-wide scans including a total 5,088 nondiabetic individuals from Finland and Sardinia. found significant between SNP rs563694 (P = 3.5 × 10–7). This was an additional 18,436 mixed European descent 7 different studies. The combined P value for these follow-up samples 6.9 10–26, combining results...

10.1172/jci34566 article EN Journal of Clinical Investigation 2008-06-01

Abstract Type 2 diabetes (T2D) results from the combined effects of genetic and environmental factors on multiple tissues over time. Of >100 variants associated with T2D related traits in genome-wide association studies (GWAS), >90% occur non-coding regions, suggesting a strong regulatory component to risk. Here understand how status, metabolic variation influence gene expression, we analyse skeletal muscle biopsies 271 well-phenotyped Finnish participants glucose tolerance ranging...

10.1038/ncomms11764 article EN cc-by Nature Communications 2016-06-29

Recent studies have identified a common proline-to-alanine substitution (Pro12Ala) in the peroxisome proliferator–activated receptor-γ2 (PPAR-γ2), nuclear receptor that regulates adipocyte differentiation and possibly insulin sensitivity. The Pro12Ala variant has been associated some with diabetes-related traits and/or protection against type 2 diabetes. We examined this 935 Finnish subjects, including 522 subjects diabetes, 193 nondiabetic spouses, 220 elderly control subjects. frequency of...

10.2337/diabetes.50.4.886 article EN Diabetes 2001-04-01

More than 120 published reports have described associations between single nucleotide polymorphisms (SNPs) and type 2 diabetes. However, multiple studies of the same variant often been discordant. From a literature search, we identified previously reported diabetes–associated SNPs. We initially genotyped 134 SNPs on 786 index case subjects from diabetes families 617 control with normal glucose tolerance Finland excluded analysis 20 in strong linkage disequilibrium (r2 > 0.8) another...

10.2337/db06-0461 article EN Diabetes 2006-12-27
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