Sayuko Kobes

An autosomal genomic scan for loci linked to type II diabetes mellitus and body-mass index in Pima Indians

Genetic factors influence the development of type II diabetes mellitus, but genetic loci for the most common forms of diabetes have not been identified. A genomic scan was conducted to identify loci linked to diabetes and body-mass index (BMI) in Pima Indians, a Native American population with a high prevalence of type II diabetes. Among 264 nuclear families containing 966 siblings, 516 autosomal markers with a median distance between adjacent markers of 6.4 cM were genotyped. Variance-components methods were used to test for linkage with an age-adjusted diabetes score and with BMI. In multipoint analyses, the strongest evidence for linkage with age-adjusted diabetes (LOD = 1.7) was on chromosome 11q, in the region that was also linked most strongly with BMI (LOD = 3.6). Bivariate linkage analyses strongly rejected both the null hypothesis of no linkage with either trait and the null hypothesis of no contribution of the locus to the covariation among the two traits. Sib-pair analyses suggest additional potential diabetes-susceptibility loci on chromosomes 1q and 7q.

Identification of PVT1 as a Candidate Gene for End-Stage Renal Disease in Type 2 Diabetes Using a Pooling-Based Genome-Wide Single Nucleotide Polymorphism Association Study

To identify genetic variants contributing to end-stage renal disease (ESRD) in type 2 diabetes, we performed a genome-wide analysis of 115,352 single nucleotide polymorphisms (SNPs) in pools of 105 unrelated case subjects with ESRD and 102 unrelated control subjects who have had type 2 diabetes for ≥10 years without macroalbuminuria. Using a sliding window statistic of ranked SNPs, we identified a 200-kb region on 8q24 harboring three SNPs showing substantial differences in allelic frequency between case and control pools. These SNPs were genotyped in individuals comprising each pool, and strong evidence for association was found with rs2720709 (P = 0.000021; odds ratio 2.57 [95% CI 1.66–3.96]), which is located in the plasmacytoma variant translocation gene PVT1. We sequenced all exons, exon-intron boundaries, and the promoter of PVT1 and identified 47 variants, 11 of which represented nonredundant markers with minor allele frequency ≥0.05. We subsequently genotyped these 11 variants and an additional 87 SNPs identified through public databases in 319-kb flanking rs2720709 (∼1 SNP/3.5 kb); 23 markers were associated with ESRD at P < 0.01. The strongest evidence for association was found for rs2648875 (P = 0.0000018; 2.97 [1.90–4.65]), which maps to intron 8 of PVT1. Together, these results suggest that PVT1 may contribute to ESRD susceptibility in diabetes.

Association Analysis of Variation in/Near FTO, CDKAL1, SLC30A8, HHEX, EXT2, IGF2BP2, LOC387761, and CDKN2B With Type 2 Diabetes and Related Quantitative Traits in Pima Indians

OBJECTIVE—In recent genome-wide association studies, variants in CDKAL1, SLC30A8, HHEX, EXT2, IGF2BP2, CDKN2B, LOC387761, and FTO were associated with risk for type 2 diabetes in Caucasians. We investigated the association of these single nucleotide polymorphisms (SNPs) and some additional tag SNPs with type 2 diabetes and related quantitative traits in Pima Indians. RESEARCH DESIGN AND METHODS—Forty-seven SNPs were genotyped in 3,501 Pima Indians informative for type 2 diabetes and BMI, among whom 370 had measures of quantitative traits. RESULTS—FTO provided the strongest evidence for replication, where SNPs were associated with type 2 diabetes (odds ratio = 1.20 per copy of the risk allele, P = 0.03) and BMI (P = 0.002). None of the other previously reported SNPs were associated with type 2 diabetes; however, associations were found between CDKAL1 and HHEX variants and acute insulin response (AIR), where the Caucasian risk alleles for type 2 diabetes were associated with reduced insulin secretion in normoglycemic Pima Indians. Multiallelic analyses of carrying risk alleles for multiple genes showed correlations between number of risk alleles and type 2 diabetes and impaired insulin secretion in normoglycemic subjects (P = 0.006 and 0.0001 for type 2 diabetes and AIR, respectively), supporting the hypothesis that many of these genes influence diabetes risk by affecting insulin secretion. CONCLUSIONS—Variation in FTO impacts BMI, but the implicated common variants in the other genes did not confer a significant risk for type 2 diabetes in Pima Indians. However, confidence intervals for their estimated effects were consistent with the small effects reported in Caucasians, and the multiallelic “genetic risk profile” identified in Caucasians is associated with diminished early insulin secretion in Pima Indians.

A Search for Variants Associated With Young-Onset Type 2 Diabetes in American Indians in a 100K Genotyping Array

OBJECTIVE— To identify genetic variants in linkage disequilibrium with those conferring diabetes susceptibility, a genome-wide association study for young-onset diabetes was conducted in an American-Indian population. RESEARCH DESIGN AND METHODS— Data come from 300 case subjects with type 2 diabetes with age of onset <25 years and 334 nondiabetic control subjects aged ≥45 years. To provide for tests of within-family association, 121 nondiabetic siblings of case subjects were included along with 140 diabetic siblings of control subjects (172 sibships). Individuals were genotyped on the Affymetrix 100K array, resulting in 80,044 usable single nucleotide polymorphisms (SNPs). SNPs were analyzed for within-family association and for general association in case and control subjects, and these tests were combined by Fishers method, with priority given to the within-family test. RESULTS— There were more SNPs with low P values than expected theoretically under the global null hypothesis of no association, and 128 SNPs had evidence for association at P < 0.001. The association of these SNPs with diabetes was further investigated in 1,207 diabetic and 1,627 nondiabetic individuals from the population study who were not included in the genome-wide study. SNPs from 10 genomic regions showed evidence for replication at P < 0.05. These included SNPs on chromosome 3 near ZNF659, chromosome 11 near FANCF, chromosome 11 near ZBTB15, and chromosome 12 near SENP1. CONCLUSIONS— These studies suggest several regions where marker alleles are potentially in linkage disequilibrium with variants that confer susceptibility to young-onset type 2 diabetes in American Indians.

A Locus Influencing Total Serum Cholesterol on Chromosome 19p Results From an Autosomal Genomic Scan of Serum Lipid Concentrations in Pima Indians

Abstract—A genome-wide linkage study was analyzed to identify loci that influence serum lipid concentrations in Pima Indians. Linkage analyses were conducted for total cholesterol measured in 998 siblings from 292 nuclear families, for total triglycerides in 547 siblings from 188 families, and for high density lipoprotein (HDL) cholesterol in 590 siblings from 201 families. Genotypes were generated for 516 autosomal microsatellite markers. Multipoint variance components methods were used to assess linkage. The strongest evidence for linkage with total cholesterol was on chromosome 19p (lod score 3.89), in the vicinity of the marker D19S1034, which is near the low density lipoprotein receptor gene. The strongest evidence for linkage with HDL cholesterol was on chromosome 3q (lod score 2.64) near D3S3053. For triglycerides, the strongest evidence for linkage was on chromosome 2p near D2S1788 (lod score 1.70) and on chromosome 3p near D3S2406 (lod score 1.77). This genomic scan provides evidence for a locus influencing total cholesterol concentration on chromosome 19p. It also suggests a locus influencing HDL cholesterol on chromosome 3q.

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

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.

Assessment of parent-of-origin effects in linkage analysis of quantitative traits.

Methods are presented for incorporation of parent-of-origin effects into linkage analysis of quantitative traits. The estimated proportion of marker alleles shared identical by descent is first partitioned into a component derived from the mother and a component derived from the father. These parent-specific estimates of allele sharing are used in variance-components or Haseman-Elston methods of linkage analysis so that the effect of the quantitative-trait locus carried on the maternally derived chromosome is potentially different from the effect of the locus on the paternally derived chromosome. Statistics for linkage between trait and marker loci derived from either or both parents are then calculated, as are statistics for testing whether the effect of the maternally derived locus is equal to that of the paternally derived locus. Analyses of data simulated for 956 siblings from 263 nuclear families who had participated in a linkage study revealed that type I error rates for these statistics were generally similar to nominal values. Power to detect an imprinted locus was substantially increased when analyzed with a model allowing for parent-of-origin effects, compared with analyses that assumed equal effects; for example, for an imprinted locus accounting for 30% of the phenotypic variance, the expected LOD score was 4.5 when parent-of-origin effects were incorporated into the analysis, compared with 3.1 when these effects were ignored. The ability to include parent-of-origin effects within linkage analysis of quantitative traits will facilitate genetic dissection of complex traits.

Lower Metabolic Rate in Individuals Heterozygous for Either a Frameshift or a Functional Missense MC4R Variant

OBJECTIVE—Humans with functional variants in the melanocortin 4 receptor (MC4R) are obese, hyperphagic, and hyperinsulinemic but have been reported to have no difference in energy expenditure. RESEARCH DESIGN AND METHODS—We investigated the association of two MC4R variants, Arg165Gln (R165Q) and A insertion at nucleotide 100 (NT100), with adiposity in 3,074 full-heritage Pima Indians, a subset of whom had metabolic measures including 24-h energy expenditure (n = 252) and resting metabolic rate (RMR) (n = 364). RESULTS—Among the 3,074 subjects, 43 were heterozygous for R165Q and 14 for NT100 (frequency = 0.007 and 0.002). Mean (± SD) BMI was higher among subjects with R165Q (39.3 ± 8.6 kg/m2) or NT100 (41.2 ± 7.8) than subjects without either variant (37.1 ± 8.4) (P = 0.04 and 0.02, adjusted for age, sex, and birth year and accounting for family membership). The 24-h energy expenditure (four with NT100; three with R165Q) or RMR (six with NT100; two with R165Q) was lower in heterozygous subjects but only met statistical significance when heterozygous subjects were combined and compared with subjects without either variant: least-squares means, 2,163 kcal/24 h (95% CI 2,035–2,291) vs. 2,307 kcal/24 h (2,285–2,328), P = 0.03 for 24-h energy expenditure, and 1,617 kcal/24 h (1,499–1,734) vs. 1,754 kcal/24 h (1,736–1,772), P = 0.02 for RMR; adjusted for age, sex, fat-free mass, and fat mass). For RMR, this difference persisted, even after accounting for family membership. CONCLUSIONS—Pima Indians heterozygous for R165Q or NT100 in MC4R have higher BMIs and lower energy expenditure (by ∼140 kcal/day), indicating that lower energy expenditure was a component of the increased adiposity.

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

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.

Common Variation in SIM1 Is Reproducibly Associated With BMI in Pi ma Indians

OBJECTIVE Haploinsufficiency of SIM1 is a cause of rare monogenic obesity. To assess the role of SIM1 in polygenic obesity, this gene was analyzed in the Pima Indian population, which has a high prevalence of obesity. RESEARCH DESIGN AND METHODS SIM1 was sequenced in 96 individuals. Variants (n = 46) were genotyped in a population-based sample of 3,250 full-heritage Pima Indians and in a separate replication sample of 2,944 predominately non–full-heritage subjects from the same community. RESULTS Variants spanning the upstream region of SIM1 through intron 8 were associated with BMI in the full-heritage Pima Indians, where the strongest associations (P ∼ 10−4 to 10−6) were with common variants (risk allele frequency 0.61–0.67). The difference in mean BMI between individuals homozygous for the major allele compared with homozygotes for the minor allele was ∼2.2 kg/m2 (P = 2 × 10−5 for rs3213541). These associations replicated in the separate sample of subjects from the same community (P = 5 × 10−3 for rs3213541). The strongest associations (P = 4 × 10−7, controlled for age, sex, birth year, and heritage) were seen in the combined sample (n = 6,194). The risk allele for obesity was more common in full-heritage Pimas than in the mixed-heritage subjects. Two variants (rs3734353 and rs3213541) were also genotyped in 1,275 severely obese and 1,395 lean control subjects of French European ancestry. The Pima risk alleles were the minor alleles in the European samples, and these variants did not display any significant association (P > 0.05). CONCLUSIONS Common variation in SIM1 is associated with BMI on a population level in Pima Indians where the risk allele is the major allele.