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Diabetes | 2007

TCF7L2 Is Not a Major Susceptibility Gene for Type 2 Diabetes in Pima Indians Analysis of 3,501 Individuals

Tingwei Guo; Robert L. Hanson; Michael Traurig; Yunhua L. Muller; Lijun Ma; Janel Mack; Sayuko Kobes; William C. Knowler; Clifton Bogardus; Leslie J. Baier

OBJECTIVE— The transcription factor 7-like 2 (TCF7L2) gene was initially reported to be associated with type 2 diabetes in Icelandic, Danish, and U.S. populations. We investigated whether TCF7L2 also has a role in type 2 diabetes susceptibility in Pima Indians. RESEARCH DESIGN AND METHODS— The six variants reported to be associated with type 2 diabetes in the Icelandic study were genotyped in a population-based sample of 3,501 Pima Indians (1,561 subjects had type 2 diabetes, and 1,940 did not have diabetes). In addition, the coding and promoter regions of TCF7L2 were sequenced in 24 Pima subjects. The one variant identified by sequencing, 35 additional database variants positioned in introns, and the six variants reported in the Icelandic study were genotyped in Pima families to determine the haplotype structure of TCF7L2 among Pima Indians. Fourteen representative variants were selected and genotyped in 3,501 Pima Indians. RESULTS— The six variants initially reported to be associated with type 2 diabetes were less common in Pima Indians compared with samples of European origin, and none were associated with type 2 diabetes. One representative variant, rs1225404, was nominally associated with type 2 diabetes in a general model (additive P = 0.03, dominant P = 0.005) but not in a within-family analysis (additive P = 0.2, dominant P = 0.07). However, several variants were associated with BMI; in particular, rs12255372 was associated in both general and within-family analyses (both P = 0.0007). Modest associations were also found with traits predictive for type 2 diabetes. CONCLUSIONS— Variation within TCF7L2 does not confer major risk for type 2 diabetes among the Pima Indian population.


Diabetes | 2014

A Genome-Wide Association Study in American Indians Implicates DNER as a Susceptibility Locus for Type 2 Diabetes

Robert L. Hanson; Yunhua L. Muller; Sayuko Kobes; Tingwei Guo; Li Bian; Victoria Ossowski; Kim Wiedrich; Jeffrey Sutherland; Christopher Wiedrich; Darin Mahkee; Ke Huang; Maryam Abdussamad; Michael Traurig; E. Jennifer Weil; Robert G. Nelson; Peter H. Bennett; William C. Knowler; Clifton Bogardus; Leslie J. Baier

Most genetic variants associated with type 2 diabetes mellitus (T2DM) have been identified through genome-wide association studies (GWASs) in Europeans. The current study reports a GWAS for young-onset T2DM in American Indians. Participants were selected from a longitudinal study conducted in Pima Indians and included 278 cases with diabetes with onset before 25 years of age, 295 nondiabetic controls ≥45 years of age, and 267 siblings of cases or controls. Individuals were genotyped on a ∼1M single nucleotide polymorphism (SNP) array, resulting in 453,654 SNPs with minor allele frequency >0.05. SNPs were analyzed for association in cases and controls, and a family-based association test was conducted. Tag SNPs (n = 311) were selected for 499 SNPs associated with diabetes (P < 0.0005 in case-control analyses or P < 0.0003 in family-based analyses), and these SNPs were genotyped in up to 6,834 additional Pima Indians to assess replication. Rs1861612 in DNER was associated with T2DM (odds ratio = 1.29 per copy of the T allele; P = 6.6 × 10−8, which represents genome-wide significance accounting for the number of effectively independent SNPs analyzed). Transfection studies in murine pancreatic β-cells suggested that DNER regulates expression of notch signaling pathway genes. These studies implicate DNER as a susceptibility gene for T2DM in American Indians.


Diabetes | 2013

Strong Parent-of-Origin Effects in the Association of KCNQ1 Variants With Type 2 Diabetes in American Indians

Robert L. Hanson; Tingwei Guo; Yunhua L. Muller; Jamie Fleming; William C. Knowler; Sayuko Kobes; Clifton Bogardus; Leslie J. Baier

Parent-of-origin effects were observed in an Icelandic population for several genetic variants associated with type 2 diabetes, including those in KLF14 (rs4731702), MOB2 (rs2334499), and KCNQ1 (rs2237892, rs231362). We analyzed parent-of-origin effects for these variants, along with two others in KCNQ1 identified in previous genome-wide association studies (rs2237895, rs2299620), in 7,351 Pima Indians from 4,549 nuclear families; 34% of participants had diabetes. In a subset of 287 normoglycemic individuals, acute insulin secretion was measured by an intravenous glucose tolerance test. Statistically significant (P < 0.05) parent-of-origin effects were seen for association with type 2 diabetes for all variants. The strongest effect was seen at rs2299620 in KCNQ1; the C allele was associated with increased diabetes when maternally derived (odds ratio [OR], 1.92; P = 4.1 × 10−12), but not when paternally derived (OR, 0.93; P = 0.47; P = 9.9 × 10−6 for difference in maternal and paternal effects). A maternally derived C allele also was associated with a 28% decrease in insulin secretion (P = 0.002). This study confirms parent-of-origin effects in the association with type 2 diabetes for variants in KLF14, MOB2, and KCNQ1. In Pima Indians, the effect of maternally derived KCNQ1 variants appears to be mediated through decreased insulin secretion and is particularly strong, accounting for 4% of the variance in liability to diabetes.


Diabetes | 2010

Evaluation of A2BP1 as an Obesity Gene

Lijun Ma; Robert L. Hanson; Michael Traurig; Yunhua L. Muller; Bakhshish P. Kaur; Jessica Perez; David Meyre; Mao Fu; Antje Körner; Paul W. Franks; Wieland Kiess; Sayuko Kobes; William C. Knowler; Peter Kovacs; Philippe Froguel; Alan R. Shuldiner; Clifton Bogardus; Leslie J. Baier

OBJECTIVE A genome-wide association study (GWAS) in Pima Indians (n = 413) identified variation in the ataxin-2 binding protein 1 gene (A2BP1) that was associated with percent body fat. On the basis of this association and the obese phenotype of ataxin-2 knockout mice, A2BP1 was genetically and functionally analyzed to assess its potential role in human obesity. RESEARCH DESIGN AND METHODS Variants spanning A2BP1 were genotyped in a population-based sample of 3,234 full-heritage Pima Indians, 2,843 of whom were not part of the initial GWAS study and therefore could serve as a sample to assess replication. Published GWAS data across A2BP1 were additionally analyzed in French adult (n = 1,426) and children case/control subjects (n = 1,392) (Meyre et al. Nat Genet 2009;41:157–159). Selected variants were genotyped in two additional samples of Caucasians (Amish, n = 1,149, and German children case/control subjects, n = 998) and one additional Native American (n = 2,531) sample. Small interfering RNA was used to knockdown A2bp1 message levels in mouse embryonic hypothalamus cells. RESULTS No single variant in A2BP1 was reproducibly associated with obesity across the different populations. However, different variants within intron 1 of A2BP1 were associated with BMI in full-heritage Pima Indians (rs10500331, P = 1.9 × 10−7) and obesity in French Caucasian adult (rs4786847, P = 1.9 × 10−10) and children (rs8054147, P = 9.2 × 10−6) case/control subjects. Reduction of A2bp1 in mouse embryonic hypothalamus cells decreased expression of Atxn2, Insr, and Mc4r. CONCLUSIONS Association analysis suggests that variation in A2BP1 influences obesity, and functional studies suggest that A2BP1 could potentially affect adiposity via the hypothalamic MC4R pathway.


Diabetes | 2012

Greater Impact of Melanocortin-4 Receptor Deficiency on Rates of Growth and Risk of Type 2 Diabetes During Childhood Compared With Adulthood in Pima Indians

Marie Thearle; Yunhua L. Muller; Robert L. Hanson; Meghan Mullins; Maryam Abdussamad; John Tran; William C. Knowler; Clifton Bogardus; Jonathan Krakoff; Leslie J. Baier

Features of melanocortin-4 receptor (MC4R) deficiency have been observed to be more pronounced in childhood. Longitudinal data from a population-based study were used to separate the phenotypic effects of MC4R deficiency during childhood and adulthood. The MC4R exon was sequenced in 6,760 individuals of predominantly Pima Indian heritage, and discovered mutations were functionally assessed in vitro. Effects on BMI, height, and slope of BMI change were assessed during childhood (ages 5–20 years) and adulthood (ages 20–45 years). Six mutations affecting MC4R function, including three that may be private to Pima Indians, were found in 159 individuals (2.4%). The slope of BMI increase was greater in individuals carrying an MC4R mutation compared with noncarriers during childhood but not during adulthood. The final adult height obtained was higher in individuals with MC4R deficiency. There was an increased risk for developing type 2 diabetes in individuals with a defective MC4R during childhood and adulthood, but this was only independent of BMI in childhood. The greater rates of body mass accumulation and risk of type 2 diabetes before the age of 20 years in individuals with MC4R deficiency indicate that the effects of these mutations are more apparent during the active growth of childhood.


Diabetes | 2007

Variants in the Cav2.3 (α1E) Subunit of Voltage-Activated Ca2+ Channels Are Associated With Insulin Resistance and Type 2 Diabetes in Pima Indians

Yunhua L. Muller; Robert L. Hanson; Collin Zimmerman; Inge Harper; Jeff Sutherland; Sayuko Kobes; William C. Knowler; Clifton Bogardus; Leslie J. Baier

OBJECTIVE— Linkage to type 2 diabetes has been reported on chromosome 1q21-25 in Pima Indians. Fine mapping identified single nucleotide polymorphisms (SNPs) near the CACNA1E gene associated with this disease. CACNA1E encodes the voltage-dependent calcium channel Cav2.3 Ca2+, and mice lacking this channel exhibit impaired glucose tolerance and insulin secretion. Therefore, CACNA1E was investigated as a positional candidate gene. RESEARCH DESIGN AND METHODS— CACNA1E was sequenced, and 28 SNPs were genotyped in the same group of Pima subjects who had been analyzed in the linkage study. Allele-specific expression was used to functionally evaluate a variant in the 3′ untranslated region (UTR). RESULTS— A novel G/A variant in the 3′-UTR was associated with young-onset type 2 diabetes (odds ratio 2.09 per copy of the G-allele [95% CI 1.31–3.33], adjusted P = 0.001) and had an effect on the evidence for linkage at chromosome 1q21-25 (P = 0.004). Among 372 nondiabetic Pima subjects who had undergone metabolic testing, the risk allele was associated with reduced insulin action including increased fasting, 30, 60, and 120 min plasma glucose concentrations and increased fasting plasma insulin during an oral glucose tolerance test (all P < 0.01), as well as a decreased rate of insulin-stimulated glucose disposal at both physiologically and maximally stimulated insulin concentrations (both P < 0.002). Functional analysis of this variant showed that the nonrisk allele had a 2.3-fold higher expression compared with the risk allele. CONCLUSIONS— A functional variant in CACNA1E contributes to type 2 diabetes susceptibility by affecting insulin action. This variant partially explains the linkage to type 2 diabetes on chromosome 1q21-25 in Pima Indians.


Annals of Human Genetics | 2008

Design and Analysis of Genetic Association Studies to Finely Map a Locus Identified by Linkage Analysis: Sample Size and Power Calculations

Robert L. Hanson; H. C. Looker; Lijun Ma; Yunhua L. Muller; Leslie J. Baier; W. C. Knowler

Association (e.g. case‐control) studies are often used to finely map loci identified by linkage analysis. We investigated the influence of various parameters on power and sample size requirements for such a study. Calculations were performed for various values of a high‐risk functional allele (fA), frequency of a marker allele associated with the high risk allele (f1), degree of linkage disquilibrium between functional and marker alleles (D′) and trait heritability attributable to the functional locus (h2). The calculations show that if cases and controls are selected from equal but opposite extreme quantiles of a quantitative trait, the primary determinants of power are h2 and the specific quantiles selected. For a dichotomous trait, power also depends on population prevalence. Power is optimal if functional alleles are studied (fA= f1 and D′= 1.0) and can decrease substantially as D′ diverges from 1.0 or as f1 diverges from fA. These analyses suggest that association studies to finely map loci are most powerful if potential functional polymorphisms are identified a priori or if markers are typed to maximize haplotypic diversity. In the absence of such information, expected minimum power at a given location for a given sample size can be calculated by specifying a range of potential frequencies for fA (e.g. 0.1‐0.9) and determining power for all markers within the region with specification of the expected D′ between the markers and the functional locus. This method is illustrated for a fine‐mapping project with 662 single nucleotide polymorphisms in 24 Mb. Regions differed by marker density and allele frequencies. Thus, in some, power was near its theoretical maximum and little additional information is expected from additional markers, while in others, additional markers appear to be necessary. These methods may be useful in the analysis and interpretation of fine‐mapping studies.


Obesity | 2014

Whole exome sequencing identifies variation in CYB5A and RNF10 associated with adiposity and type 2 diabetes

Ke Huang; Anup K. Nair; Yunhua L. Muller; Paolo Piaggi; Li Bian; Melissa del Rosario; William C. Knowler; Sayuko Kobes; Robert L. Hanson; Clifton Bogardus; Leslie J. Baier

Few coding variants in genes associated with type 2 diabetes (T2D) have been identified, and the underlying physiologic mechanisms whereby susceptibility genes influence T2D risk are often unknown. The objective of this study was to identify coding variation that increases risk for T2D via an effect on a pre‐diabetic trait.


Human Molecular Genetics | 2013

MAP2K3 is associated with body mass index in American Indians and Caucasians and may mediate hypothalamic inflammation

Li Bian; Michael Traurig; Robert L. Hanson; Alejandra Marinelarena; Sayuko Kobes; Yunhua L. Muller; Alka Malhotra; Ke Huang; Jessica Perez; Alex Gale; William C. Knowler; Clifton Bogardus; Leslie J. Baier

To identify genes that affect body mass index (BMI) in American Indians who are predominately of Pima Indian heritage, we previously completed a genome-wide association study in 1120 American Indians. That study also included follow-up genotyping for 9 SNPs in 2133 additional subjects. A comprehensive follow-up study has subsequently been completed where 292 SNPs were genotyped in 3562 subjects, of which 128 SNPs were assessed for replication in 3238 additional subjects. In the combined subjects (n = 6800), BMI associations for two SNPs, rs12882548 and rs11652094, approached genome-wide significance (P = 6.7 × 10−7 and 8.1 × 10−7, respectively). Rs12882548 is located in a gene desert on chromosome 14 and rs11652094 maps near MAP2K3. Several SNPs in the MAP2K3 region including rs11652094 were also associated with BMI in Caucasians from the GIANT consortium (P = 10−2–10−5), and the combined P-values across both American Indians and Caucasian were P = 10−4–10−9. Follow-up sequencing across MAP2K3 identified several paralogous sequence variants indicating that the region may have been duplicated. MAP2K3 expression levels in adipose tissue biopsies were positively correlated with BMI, although it is unclear if this correlation is a cause or effect. In vitro studies with cloned MAP2K3 promoters suggest that MAP2K3 expression may be up-regulated during adipogenesis. Microarray analyses of mouse hypothalamus cells expressing constitutively active MAP2K3 identified several up-regulated genes involved in immune/inflammatory pathways and a gene, Hap1, thought to play a role in appetite regulation. We conclude that MAP2K3 is a reproducible obesity locus that may affect body weight via complex mechanisms involving appetite regulation and hypothalamic inflammation.


Diabetologia | 2010

Variants in ACAD10 are associated with type 2 diabetes, insulin resistance and lipid oxidation in Pima Indians

Li Bian; Robert L. Hanson; Yunhua L. Muller; Lijun Ma; Magic Investigators; Sayuko Kobes; W. C. Knowler; C. Bogardus; Leslie J. Baier

Aims/hypothesisA prior genome-wide association study in Pima Indians identified a variant within the ACAD10 gene that is associated with early-onset type 2 diabetes. Acyl-coenzyme A dehydrogenase 10 (ACAD10) catalyses mitochondrial fatty acid beta-oxidation, which plays a pivotal role in developing insulin resistance and type 2 diabetes. Therefore, ACAD10 was analysed as a positional and biological candidate for type 2 diabetes.MethodsTwenty-three SNPs were genotyped in 1,500 Pima Indians to determine the linkage disequilibrium pattern across ACAD10. Association with type 2 diabetes was determined by genotyping four tag single nucleotide polymorphisms (SNPs) in a population-based sample of 3,501 full-heritage Pima Indians; two associated SNPs were further genotyped in a second population-based sample of 3,723 American Indians. Associations with quantitative traits were assessed in 415 non-diabetic full heritage Pima individuals who had been metabolically phenotyped.ResultsSNPs rs601663 and rs659964 were associated with type 2 diabetes in the full-heritage Pima Indian sample (p = 0.04 and 0.0006, respectively), and rs659964 was further associated with type 2 diabetes in the second American Indian sample (p = 0.04). Combination of these two samples provided the strongest evidence for association (p = 0.009 and 0.00007, for rs601663 and rs659964, respectively). Quantitative trait analyses identified nominal associations with both lower lipid oxidation rate and larger subcutaneous abdominal adipocyte size, which is consistent with the known physiology of ACAD10, and also identified associations with increased insulin resistance.Conclusions/interpretationWe propose that ACAD10 variation may increase type 2 diabetes susceptibility by impairing insulin sensitivity via abnormal lipid oxidation.

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Leslie J. Baier

National Institutes of Health

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Robert L. Hanson

National Institutes of Health

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Clifton Bogardus

National Institutes of Health

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William C. Knowler

Case Western Reserve University

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Sayuko Kobes

National Institutes of Health

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Paolo Piaggi

National Institutes of Health

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Ke Huang

National Institutes of Health

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Michael Traurig

National Institutes of Health

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Li Bian

National Institutes of Health

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Robert G. Nelson

Centers for Disease Control and Prevention

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