Literature DB >> 17646211

A genome-wide linkage scan of insulin level derived traits: the Amish Family Diabetes Study.

Wen-Chi Hsueh1, Kristi D Silver, Toni I Pollin, Callum J Bell, Jeffrey R O'Connell, Braxton D Mitchell, Alan R Shuldiner.   

Abstract

OBJECTIVE: Serum insulin levels are altered in insulin resistance and insulin deficiency, states that are associated with the development of type 2 diabetes. The goal of our study was to identify chromosomal regions that are likely to harbor genetic determinants of these traits. RESEARCH DESIGN AND METHODS: We conducted a series of genetic analyses, including genome-wide and fine-mapping linkage studies, based on insulin levels measured during an oral glucose tolerance test (OGTT) in 552 nondiabetic participants in the Amish Family Diabetes Study. Indices of insulin secretion included the insulinogenic index and insulin at 30 min postglucose load (insulin 30), while indices of insulin resistance included homeostasis model assessment of insulin resistance (HOMA-IR) and fasting insulin. Insulin area under the curve, a measure of both insulin secretion and insulin resistance, was also examined.
RESULTS: All traits were modestly heritable, with heritability estimates ranging from 0.1 to 0.4 (all P < 0.05). There was significant genetic correlation between fasting insulin and HOMA-IR (rho(G) > 0.86, P < 0.05), as well as insulin 30 and insulinogenic index (rho(G) = 0.81, P < 0.0001), suggesting that common genes influence variation in these pairs of traits. Suggestive linkage signals in the genome scan were to insulin 30 on chromosome 15q23 (logarithm of odds [LOD] 2.53, P = 0.00032) and to insulinogenic index on chromosome 2p13 (LOD 2.51, P = 0.00034). Fine-mapping study further refined our signal for insulin 30 on chromosome 15 (LOD 2.38 at 68 cM).
CONCLUSIONS: These results suggest that there may be different genes influencing variation in OGTT measures of insulin secretion and insulin resistance.

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Year:  2007        PMID: 17646211     DOI: 10.2337/db06-1023

Source DB:  PubMed          Journal:  Diabetes        ISSN: 0012-1797            Impact factor:   9.461


  14 in total

1.  Agreement among type 2 diabetes linkage studies but a poor correlation with results from genome-wide association studies.

Authors:  S Lillioja; A Wilton
Journal:  Diabetologia       Date:  2009-03-19       Impact factor: 10.122

2.  Sequence variation in IGF1R is associated with differences in insulin levels in nondiabetic Old Order Amish.

Authors:  Adam C Naj; Wen-Hong L Kao; Jeffrey R O'Connell; Braxton D Mitchell; Kristi D Silver
Journal:  Diabetes Metab Res Rev       Date:  2009-11       Impact factor: 4.876

3.  Seasonality shows evidence for polygenic architecture and genetic correlation with schizophrenia and bipolar disorder.

Authors:  Enda M Byrne; Uttam K Raheja; Sarah H Stephens; Andrew C Heath; Pamela A F Madden; Dipika Vaswani; Gagan V Nijjar; Kathleen A Ryan; Hassaan Youssufi; Philip R Gehrman; Alan R Shuldiner; Nicholas G Martin; Grant W Montgomery; Naomi R Wray; Elliot C Nelson; Braxton D Mitchell; Teodor T Postolache
Journal:  J Clin Psychiatry       Date:  2015-02       Impact factor: 4.384

4.  Seasonality of mood and behavior in the Old Order Amish.

Authors:  Uttam K Raheja; Sarah H Stephens; Braxton D Mitchell; Kelly J Rohan; Dipika Vaswani; Theodora G Balis; Gagan V Nijjar; Aamar Sleemi; Toni I Pollin; Kathleen Ryan; Gloria M Reeves; Nancy Weitzel; Mary Morrissey; Hassaan Yousufi; Patricia Langenberg; Alan R Shuldiner; Teodor T Postolache
Journal:  J Affect Disord       Date:  2012-11-17       Impact factor: 4.839

5.  Variation in the gene TAS2R38 is associated with the eating behavior disinhibition in Old Order Amish women.

Authors:  Cedrick D Dotson; Hillary L Shaw; Braxton D Mitchell; Steven D Munger; Nanette I Steinle
Journal:  Appetite       Date:  2009-09-25       Impact factor: 3.868

Review 6.  Insulin signaling regulating genes: effect on T2DM and cardiovascular risk.

Authors:  Sabrina Prudente; Eleonora Morini; Vincenzo Trischitta
Journal:  Nat Rev Endocrinol       Date:  2009-12       Impact factor: 43.330

7.  Seasonal affective disorder and seasonal changes in weight and sleep duration are inversely associated with plasma adiponectin levels.

Authors:  Faisal Akram; Claudia Gragnoli; Uttam K Raheja; Soren Snitker; Christopher A Lowry; Kelly A Stearns-Yoder; Andrew J Hoisington; Lisa A Brenner; Erika Saunders; John W Stiller; Kathleen A Ryan; Kelly J Rohan; Braxton D Mitchell; Teodor T Postolache
Journal:  J Psychiatr Res       Date:  2020-01-02       Impact factor: 4.791

8.  The heritability of beta cell function parameters in a mixed meal test design.

Authors:  A M C Simonis-Bik; D I Boomsma; J M Dekker; M Diamant; E J C de Geus; L M 't Hart; R J Heine; M H H Kramer; J A Maassen; A Mari; A Tura; G Willemsen; E M W Eekhoff
Journal:  Diabetologia       Date:  2011-02-11       Impact factor: 10.122

9.  Ancestry-informative markers on chromosomes 2, 8 and 15 are associated with insulin-related traits in a racially diverse sample of children.

Authors:  Yann C Klimentidis; Jasmin Divers; Krista Casazza; T Mark Beasley; David B Allison; Jose R Fernandez
Journal:  Hum Genomics       Date:  2011-01       Impact factor: 4.639

10.  Genetic architecture of plasma adiponectin overlaps with the genetics of metabolic syndrome-related traits.

Authors:  Peter Henneman; Yurii S Aulchenko; Rune R Frants; Irina V Zorkoltseva; M Carola Zillikens; Marijke Frolich; Ben A Oostra; Ko Willems van Dijk; Cornelia M van Duijn
Journal:  Diabetes Care       Date:  2010-01-12       Impact factor: 19.112

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