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© 2015 by the American Diabetes Association. Insulin sensitivity, insulin secretion, insulin clearance, and glucose effectiveness exhibit strong genetic components, although few studies have examined their genetic architecture or influence on type 2 diabetes (T2D) risk. We hypothesized that loci affecting variation in these quantitative traits influence T2D. We completed a multicohort genome-wide association study to search for loci influencing T2D-related quantitative traits in 4,176 Mexican Americans. Quantitative traits were measured by the frequently sampled intravenous glucose tolerance test (four cohorts) or euglycemic clamp (three cohorts), and random-effects models were used to test the association between loci and quantitative traits, adjusting for age, sex, and admixture proportions (Discovery). Analysis revealed a significant (P < 5.00 3 1028) association at 11q14.3 (MTNR1B) with acute insulin response. Loci with P < 0.0001 among the quantitative traits were examined for translation to T2D risk in 6,463 T2D case and 9,232 control subjects of Mexican ancestry (Translation). Nonparametric meta- Analysis of the Discovery and Translation cohorts identified significant associations at 6p24 (SLC35B3/TFAP2A) with glucose effectiveness/T2D, 11p15 (KCNQ1) with disposition index/T2D, and 6p22 (CDKAL1) and 11q14 (MTNR1B) with acute insulin response/T2D. These results suggest that T2D and insulin secretion and sensitivity have both shared and distinct genetic factors, potentially delineating genomic components of these quantitative traits that drive the risk for T2D.

OBJECTIVE Common genetic variants in GCK and TCF7L2 are associated with higher fasting glucose and type 2 diabetes in nonpregnant populations. However, their associations with glucose levels from oral glucose tolerance tests (OGTTs) in pregnancy have not been assessed in a large sample. We hypothesized that these variants are associated with quantitative measures of glycemia in pregnancy. RESEARCH DESIGN AND METHODS We analyzed the associations between variants rs1799884 (GCK) and rs7903146 (TCF7L2) and OGTT outcomes at 24–32 weeks' gestation in 3,811 mothers of European (U.K. and Australia) and 1,706 mothers of Asian (Thailand) ancestry from the HAPO cohort. We also tested associations with offspring birth anthropometrics. RESULTS The maternal GCK variant was associated with higher fasting glucose in Europeans (P = 0.001) and Thais (P < 0.0001), 1-h glucose in Europeans (P = 0.001), and 2-h glucose in Thais (P = 0.005). It was also associated with higher European offspring birth weight, fat mass, and skinfold thicknesses (P < 0.05). The TCF7L2 variant was associated with all three maternal glucose outcomes (P = 0.03, P < 0.0001, and P < 0.0001 for fasting and 1-h and 2-h glucose, respectively) in the Europeans but not in the Thais (P > 0.05). In both populations, both variants were associated with higher odds of gestational diabetes mellitus according to the new International Association of Diabetes and Pregnancy Study Groups recommendations (P = 0.001–0.08). CONCLUSIONS Maternal GCK and TCF7L2 variants are associated with glucose levels known to carry an increased risk of adverse pregnancy outcome in women without overt diabetes. Further studies will be important to determine the variance in maternal glucose explained by all known genetic variants.

OBJECTIVE Glycemia is a major risk factor for the development of long-term complications in type 1 diabetes; however, no specific genetic loci have been identified for glycemic control in individuals with type 1 diabetes. To identify such loci in type 1 diabetes, we analyzed longitudinal repeated measures of A1C from the Diabetes Control and Complications Trial. RESEARCH DESIGN AND METHODS We performed a genome-wide association study using the mean of quarterly A1C values measured over 6.5 years, separately in the conventional (n = 667) and intensive (n = 637) treatment groups of the DCCT. At loci of interest, linear mixed models were used to take advantage of all the repeated measures. We then assessed the association of these loci with capillary glucose and repeated measures of multiple complications of diabetes. RESULTS We identified a major locus for A1C levels in the conventional treatment group near SORCS1 (10q25.1, P = 7 × 10−10), which was also associated with mean glucose (P = 2 × 10−5). This was confirmed using A1C in the intensive treatment group (P = 0.01). Other loci achieved evidence close to genome-wide significance: 14q32.13 (GSC) and 9p22 (BNC2) in the combined treatment groups and 15q21.3 (WDR72) in the intensive group. Further, these loci gave evidence for association with diabetic complications, specifically SORCS1 with hypoglycemia and BNC2 with renal and retinal complications. We replicated the SORCS1 association in Genetics of Diabetes in Kidneys (GoKinD) study control subjects (P = 0.01) and the BNC2 association with A1C in nondiabetic individuals. CONCLUSIONS A major locus for A1C and glucose in individuals with diabetes is near SORCS1. This may influence the design and analysis of genetic studies attempting to identify risk factors for long-term diabetic complications.

OBJECTIVE—The objective of this study was to identify DNA polymorphisms associated with type 2 diabetes in a Mexican-American population. RESEARCH DESIGN AND METHODS—We genotyped 116,204 single nucleotide polymorphisms (SNPs) in 281 Mexican Americans with type 2 diabetes and 280 random Mexican Americans from Starr County, Texas, using the Affymetrix GeneChip Human Mapping 100K set. Allelic association exact tests were calculated. Our most significant SNPs were compared with results from other type 2 diabetes genome-wide association studies (GWASs). Proportions of African, European, and Asian ancestry were estimated from the HapMap samples using structure for each individual to rule out spurious association due to population substructure. RESULTS—We observed more significant allelic associations than expected genome wide, as empirically assessed by permutation (14 below a P of 1 × 10−4 [8.7 expected]). No significant differences were observed between the proportion of ancestry estimates in the case and random control sets, suggesting that the association results were not likely confounded by substructure. A query of our top ∼1% of SNPs (P < 0.01) revealed SNPs in or near four genes that showed evidence for association (P < 0.05) in multiple other GWAS interrogated: rs979752 and rs10500641 near UBQLNL and OR52H1 on chromosome 11, rs2773080 and rs3922812 in or near RALGPS2 on chromosome 1, and rs1509957 near EGR2 on chromosome 10. CONCLUSIONS—We identified several SNPs with suggestive evidence for replicated association with type 2 diabetes that merit further investigation.

We investigated the patterns and extent of linkage disequilibrium (LD) in the vicinity of the type 2 diabetes gene calapin-10 (CAPN10) in Mexican Americans, European Americans, African Americans, and Chinese Americans. We found that CAPN10 occurs within a single block of high LD and that LD decays rapidly outside of the gene. This reduces the likelihood that associations between CAPN10 polymorphisms and type 2 diabetes could be attributed to variation at some distance from CAPN10. We also consistently observed that cases have more extensive LD than control subjects and that cases from families with evidence for linkage have more extensive LD than cases from families without evidence for linkage. These observations further suggest that there are one or more relatively common alleles increasing risk of type 2 diabetes in this local region.

The follow-up studies to the original report of association of variation at calpain 10 (CAPN10) with type 2 diabetes in the Mexican-American population of Starr County, Texas, encompass a broad range of science. There are association studies on genetic variation at CAPN10 in different human populations over a range of phenotypes related to type 2 diabetes, physiological studies on the biological functions of calpain proteases, and evolutionary studies on CAPN10 and the NIDDM1 region. We review here the studies published to date on CAPN10, as well as the latest findings from positional cloning studies on a number of other complex disorders. Collectively, these studies provide perspective on the challenges of moving from the linkage mapping and positional cloning studies on which we have been focused to an understanding of the biology shaping the relationship of genotype to phenotype at loci influencing susceptibility to complex disorders like type 2 diabetes.

Variation in the calpain-10 gene (CAPN10) has been shown to be associated with type 2 diabetes in Mexican-Americans and in at least three Northern European populations. Studies in nondiabetic Pima Indians showed that one of the at-risk DNA polymorphisms, single-nucleotide polymorphism (SNP)-43, in CAPN10 was associated with insulin resistance, and individuals with the G/G-genotype had significantly higher fasting plasma glucose and 2-h insulin concentrations after a 75-g oral glucose tolerance test (OGTT). We have examined the effect of variation in CAPN10 on plasma glucose and insulin levels in a group of 285 nondiabetic British subjects after a 75-g OGTT. The results showed that subjects with G/G genotype at SNP-43 had higher 2-h plasma glucose levels than the combined G/A + A/A group (P = 0.05). We also examined the SNP-43, -19, and -63 haplotype combination 112/121, which is associated with an approximately threefold increased risk of diabetes. Subjects with the 112/121 haplotype combination (n = 29) had increased fasting (P = 0.004) and 2-h plasma glucose levels (P = 0.003) compared with the rest of the study population after correction for age, sex, and BMI. The 112/121 haplotype combination was also associated with a marked decrease in the insulin secretory response, adjusted for the level of insulin resistance (P = 0.002). We conclude that genetic variation in the CAPN10 gene influences blood glucose levels in nondiabetic British subjects and that this is due, at least in part, to the effects of calpain-10 on the early insulin secretory response.

Maternal metabolism during pregnancy impacts the developing fetus, affecting offspring birth weight and adiposity. This has important implications for metabolic health later in life (e.g., offspring of mothers with pre-existing or gestational diabetes mellitus have an increased risk of metabolic disorders in childhood). To identify genetic loci associated with measures of maternal metabolism obtained during an oral glucose tolerance test at ∼28 weeks’ gestation, we performed a genome-wide association study of 4,437 pregnant mothers of European (n = 1,367), Thai (n = 1,178), Afro-Caribbean (n = 1,075), and Hispanic (n = 817) ancestry, along with replication of top signals in three additional European ancestry cohorts. In addition to identifying associations with genes previously implicated with measures of glucose metabolism in nonpregnant populations, we identified two novel genome-wide significant associations: 2-h plasma glucose and HKDC1, and fasting C-peptide and BACE2. These results suggest that the genetic architecture underlying glucose metabolism may differ, in part, in pregnancy.

Genetic factors contribute to the development of NIDDM, and genes involved in regulating pancreatic β-cell function and insulin's effects on glucose metabolism are good candidates for being NIDDM susceptibility loci. However, testing candidate genes for linkage to NIDDM depends on the identification of highly informative DNA polymorphisms in or near the candidate locus. Here we describe an approach for identifying highly polymorphic markers near candidate genes that utilizes the emerging physical map of the human genome. A sequence-tagged site from the candidate gene is used to screen the Centre d'Etude du Polymorphisme Humain megabase-insert yeast artificial chromosome library, which contains information on the physical localization of >3,000 genetically mapped simple sequence repeat DNA polymorphisms. Thus, identification of a yeast artificial chromosome containing the candidate locus will in many instances also identify a physically linked simple sequence repeat DNA polymorphism that can be used as a marker for the candidate gene in linkage studies. We have used this approach to identify a marker for the islet amyloid polypeptide gene on chromosome 12. The physical mapping of this gene to a yeast artificial chromosome showed that it was in the same yeast artificial chromosome as the gene encoding liver glycogen synthase, another possible NIDDM susceptibility gene. Affected sib pair studies using a simple sequence repeat DNA polymorphism physically linked to the islet amyloid polypeptide and liver glycogen synthase genes showed no evidence for linkage with NIDDM, indicating that they are not major genes contributing to NIDDM susceptibility.

During our search for a marker for non-insulin-dependent diabetes mellitus (NIDDM) in a large multigenerational family with a form of NIDDM termed maturity-onset diabetes of the young (MODY), we learned a great deal that may serve to streamline the search for diabetes-susceptibility genes in other families. We describe here our experience and suggest strategies that may enhance the search for markers for other diabetes susceptibility genes with genetic linkage approaches.

The liver/islet (GLUT2) and muscle/adipose tissue (GLUT4) glucose-transporter gene products, membrane proteins that facilitate glucose uptake into cells, are important molecules for normal carbohydrate metabolism. Recent isolation of the genes encoding these proteins provides a means to assess the role of possible defects that might contribute to impaired glucose-stimulated insulin secretion or impaired insulin-mediated glucose uptake, both prominent phenotypic features of non-insulin-dependent diabetes (NIDDM). A GLUT2 cDNA clone was isolated from a human liver cDNA library to search for polymorphisms at this locus in American Blacks. Three highly polymorphic sites were identified, one of which (EcoRI–Hae III) appears to be due to an insertion and/or deletion of 200 base pairs of DNA. Significant linkage disequilibrium between these sites over ∼30 kilobases of genomic DNA suggested that these polymorphisms could be in linkage disequilibrium with mutations at this locus if they exist. A GLUT4 cDNA clone was also utilized to search for polymorphisms at this locus, but only one previously described polymorphism was observed. GLUT2 and GLUT4 cDNA probes were used to evaluate DNA polymorphisms in genomic DNA from American Blacks with NIDDM. The allelic, genotypic, and haplotypic frequencies of the DNA polymorphisms at these loci did not differ from the frequencies in nondiabetic subjects. Because no associations with NIDDM were found, it appears unlikely that mutations at these loci contribute in a major way to the genetic susceptibility to NIDDM observed in American Blacks.

We conducted an autosomal genome scan to map loci for type 2 diabetes in a Hong Kong Chinese population. We studied 64 families, segregating type 2 diabetes, of which 57 had at least one member with an age at diagnosis of ≤40 years. These families included a total of 126 affected sibpairs and 4 other affected relative pairs. Nonparametric linkage analysis revealed seven regions showing nominal evidence for linkage with type 2 diabetes (logarithm of odds [LOD] >0.59, Ppointwise < 0.05): chromosome 1 at 173.9 cM (LOD = 3.09), chromosome 3 at 26.3 cM (LOD = 1.27), chromosome 4 at 135.3 cM (LOD = 2.63), chromosome 5 at 139.3 cM (LOD = 0.84), chromosome 6 at 178.9 cM (LOD = 1.91), chromosome 12 at 48.7 cM (LOD = 1.99), and chromosome 18 at 28.1 cM (LOD = 1.00). Simulation studies showed genome-wide significant evidence for linkage of the chromosome 1 region (Pgenome-wide = 0.036). We have confirmed the results of previous studies for the presence of a susceptibility locus on chromosome 1q21-q25 (173.9 cM) and suggest the locations of other loci that may contribute to the development of type 2 diabetes in Hong Kong Chinese.

Non-insulin-dependent diabetes mellitus (NIDDM) is a complex metabolic disorder with a significant genetic component. Obesity is a frequent complicating factor for NIDDM. In the mouse, a number of single gene defects that result in obesity have been described. Mutations in one of these genes, the ob gene, results in both obesity and NIDDM. Recently, the cloning of the murine ob gene and its human homologue has been reported {Nature 372:425–432, 1994). In the present study, the contribution of genetic variation at the human ob locus to NIDDM susceptibility was assessed by analyzing allele sharing in NIDDM-affected sib pairs (ASPs) for markers located near the human ob gene. Four yeast artificial chromosome clones containing the human ob gene were isolated. These clones colocalized the ob gene and two microsatellite markers, D7S5H and D7S635 , to a region of 280 kb on the long arm of human chromosome 7. The microsatellite markers were typed in 346 Mexican-American NIDDM-ASPs derived from 176 families and an additional 110 ethnically and geographically matched controls. No evidence of linkage or association between either microsatellite marker and NIDDM was observed in this population. These results suggest genetic variation in the human ob gene does not play a major role in susceptibility to NIDDM in Mexican-Americans. Diabetes 44:999-1001, 1995

We have carried out an autosomal genome scan for genes contributing to the development of type 2 diabetes and affecting BMI in the Japanese population (164 families, 256 affected sib-pairs). We found 12 regions that showed nominally significant multipoint evidence of linkage with type 2 diabetes (i.e. logarithm of odds [LOD] score >0.59, P < 0.05): chromosome 1 29.9 cM; chromosome 2 169.6 and 236.8 cM; chromosome 4 104.9 cM; chromosome 5 114.8 cM; chromosome 6 42.3 cM; chromosome 8 15.3 and 93.3 cM; chromosome 9 140.0 cM; chromosome 11 131.6 cM; chromosome 17 36.1 cM; and chromosome 21 48.0 cM. Twelve regions showed nominal multipoint evidence for linkage with log-transformed BMI (lnBMI): chromosome 2 167.9 and 210.5 cM; chromosome 3 185.7 cM; chromosome 4 118.9 and 145.6 cM; chromosome 5 131.9 cM; chromosome 7 7.4 cM; chromosome 10 70.0 cM; chromosome 15 12.8 cM; chromosome 16 30.0 cM; and chromosome 17 47.8 and 100.2 cM. Although none of the regions achieved genome-wide levels of significance, simulation studies showed that we observed more linkage signals than expected if there were no loci contributing to type 2 diabetes or BMI. Eight of the regions showing nominal evidence for linkage with type 2 diabetes have been reported in other genome scans, and seven of the regions showing linkage with lnBMI have shown linkage with BMI and BMI-related traits in other studies. Thus, our results may replicate findings in other studies. They may also indicate new regions of the genome that are involved in the regulation of blood glucose levels or body weight.

Variations in the calpain-10 gene (CAPN10) have been identified among Mexican-Americans, and an at-risk haplotype combination (112/121) defined by three polymorphisms, UCSNP-43, -19, and -63, confers increased risk of type 2 diabetes. Here we examine the three polymorphisms in 1,594 Scandinavian subjects, including 409 type 2 diabetic patients, 200 glucose-tolerant control subjects, 322 young healthy subjects, 206 glucose-tolerant offspring of diabetic patients, and 457 glucose-tolerant 70-year-old men. The frequency of the 112/121 combination was not significantly different in 409 type 2 diabetic subjects compared with 200 glucose-tolerant control subjects (0.06 vs. 0.05; odds ratio 1.32 [95% CI 0.58–3.30]). In glucose-tolerant subjects, neither the single-nucleotide polymorphisms individually nor the 112/121 combination were associated with alterations in plasma glucose, serum insulin, or serum C-peptide levels at fasting or during an oral glucose tolerance test, estimates of insulin sensitivity, or glucose-induced insulin secretion. In conclusion, the frequency of the 112/121 at-risk haplotype of CAPN10 is low among Scandinavians and we were unable to demonstrate significant associations between the CAPN10 variants and type 2 diabetes, insulin resistance, or impaired insulin secretion.

Mutations in transcription factors that play a role in the development of the endocrine pancreas, such as insulin promoter factor-1 and NeuroD1/BETA2, have been associated with diabetes. Cell type–specific members of the basic helix-loop-helix (bHLH) family of transcription factors play essential roles in the development and maintenance of many differentiated cell types, including pancreatic β-cells. Neurogenin 3 is a bHLH transcription factor that is expressed in the developing central nervous system and the embryonic pancreas. Mice lacking this transcription factor fail to develop any islet endocrine cells and die postnatally from diabetes. Because neurogenin 3 is required for the development of β-cells and other pancreatic islet cell types, we considered it a candidate diabetes gene. We screened the coding region of the human neurogenin 3 gene (NEUROG3) for mutations in a group of unrelated Japanese subjects with maturity-onset diabetes of the young (MODY). We found three sequence variants: a deletion of 2-bp in the 5′-untranslated region (NEUROG3-g.-44–45delCA), a G-to-A substitution in codon 167 (g.499G/A), resulting in a Gly-to-Arg replacement (G/R167), and a T-to-C substitution in codon 199 (g.596T/C), resulting in a Phe/Ser polymorphism F/S199. These polymorphisms were not associated with MODY, thereby suggesting that mutations in NEUROG3 are not a common cause of MODY in Japanese patients.

Mutations in the transcription factors hepatocyte nuclear factor (HNF)-4alpha and -1alpha, insulin promoter factor-1, and HNF-1beta are the causes of four forms of maturity-onset diabetes of the young (MODY1 and 3-5, respectively). The winged-helix transcription factor HNF-3beta has been implicated in the regulation of expression of each of these MODY genes, suggesting that mutations in the HNF-3beta gene (HNF3B) may also cause MODY. We have tested this hypothesis by screening a panel of 57 unrelated Japanese subjects with a clinical diagnosis of MODY for mutations in HNF3B. This analysis revealed four frequent polymorphisms that were not associated with MODY, including one in the promoter region (-213A/G), two silent mutations in the codons for Ala 97 (291C/T) and Gly 279 (837A/G), and one in the 3'-untranslated region (1424C/T). Two rare substitutions in the 5'-untranslated region, -156C/T and -67A/C, were found in a heterozygous state in two subjects, and two subjects were heterozygous for putative missense mutations, S109N (326G > A) and A328V (983C>T). The two missense mutations were not found in 106 normal chromosomes from nondiabetic subjects. It was not possible to test for co-segregation of these mutations with diabetes and thus, it is unclear whether or not these mutations can cause MODY. The results of our study suggest that mutations in HNF3B are not a common cause of MODY in Japanese subjects.

ATP-sensitive K+ (KATP) channels play a key role in stimulus-secretion coupling in pancreatic β-cells. Recent studies have shown that the β-cell KATP channel comprises two subunits: a novel member of the inwardly rectifying K+ channel family, designated BIR and expressed at highest levels in pancreatic islets, and the sulfonylurea receptor (SUR). Moreover, the genes encoding these two proteins are adjacent to one another on human chromosome 11. Genetic factors contribute to the development of NIDDM, and it seems likely that mutations in genes encoding proteins involved in insulin secretion or action may contribute to NIDDM susceptibility. The present study examined the contribution of the linked BIR and SUR genes to the development of NIDDM. These genes were localized to the same yeast artificial chromosome as two microsatellite DNA polymorphisms, D11S902 and D11S921. These microsatellite DNA polymorphisms were typed in 140 Japanese NIDDM-affected sib pairs. There was no evidence for linkage between these markers and NIDDM, suggesting that genetic variation in the BIR and SUR genes does not play a major role in susceptibility to NIDDM in Japanese.

Maturity-onset diabetes of the young (MODY) is a heterogeneous disorder that appears to be characterized by a primary defect in insulin secretion. Mutations in an unknown locus (MODY1) on chromosome 20 and the glucokinase gene (MODY2) on chromosome 7 can cause this form of non-insulin-dependent diabetes. Recent genetic studies have identified a third locus on chromosome 12 (MODY3) that is linked to MODY in a group of French families. We have identified three families from Denmark, Germany, and the U.S. (Michigan) showing evidence of linkage with MODY3 and a family from Japan showing suggestive evidence. Analysis of key recombinants in these families localized MODY3 to a 5-cM interval between the markers D12S86 and D12S807/D12S820.

The metabolism of glucose in insulin-secreting cells leads to closure of ATP-sensitive K+ channels (KATP), an event that initiates the insulin secretory process. Defects in insulin secretion are a common feature of non-insulin-dependent diabetes mellitus (NIDDM), and the β-cell KATP that couples metabolism and membrane potential is a candidate for contributing to the development of this clinically and genetically heterogeneous disorder. We screened a hamster insulinoma cDNA library by low-stringency hybridization with a probe coding for the G-protein-coupled inwardly rectifying K+ channel GIRK1/KGA and isolated clones encoding a protein, KATP-2, whose sequence is 90% similar to that of the recently described KATP-1, an ATP-sensitive K+ channel expressed in heart and other tissues. RNA blotting showed that KATP mRNA was present in insulin-secreting cells and brain but not in heart. To assess the contribution of KATP-2 to the development of NIDDM, the human KATP-2 gene (symbol KCNJ7) was isolated and mapped to chromosome band 21q22.1 by fluorescence in situ hybridization. A simple tandem repeat DNA polymorphism, D21S1255, was identified in the region of the KATP-2 gene, and linkage studies between this marker and NIDDM were carried out in a group of Mexican-American sib pairs with NIDDM. There was no evidence for linkage between D21S1255 and NIDDM, indicating that KATP-2 is not a major susceptibility gene in this population.

Twenty Black families in which at least two siblings had non-insulin-dependent diabetes mellitus (NIDDM) were typed for restriction-fragment-length polymorphisms at the insulin (INS), insulin-receptor (INSR), and HLA-DRβ loci. Evidence for linkage between NIDDM and these loci was assessed with various genetic models for the transmission of NIDDM and with the affected-sib-pair approach, which does not require assumptions concerning a genetic model for NIDDM. Tight linkage between NIDDM and any of the loci was unlikely under all of the genetic models examined. Similarly, for all three of the loci, the distribution of affected sib pairs sharing 2, 1, or 0 genes identical by descent was not significantly different from (and was very similar to) that expected if the locus were unrelated to disease susceptibility. There was no evidence for linkage heterogeneity for any of the loci when families were grouped according to obesity or age at onset or when considering families individually. We conclude that the INS and INSR loci can be ruled out as major susceptibility loci for NIDDM in most Black families segregating this disorder, but we recognize that defects at either of these loci may cause or contribute to NIDDM in some patients. In addition, it is possible that variation at the INS and/or INSR loci may contribute to NIDDM susceptibility by modifying susceptibility due primarily to another major gene(s) or as part of an overall polygenic component to NIDDM.

The frequencies of restriction-fragment-length polymorphism (RFLP) alleles as well as RFLP haplotypes at six genetic loci responsible for carbohydrate and lipid metabolism [insulin/insulin-like growth factor II complex, insulin receptor ( INSR ), HepG2/erythrocyte-type glucose transporter, apolipoprotein A-II, apolipoprotein B ( APOB ), and the apolipoprotein A-I/C-III/A-IV cluster ( APOA1/C3/A4 )] were compared between nondiabetic and diabetic Chinese Americans. The disease-association data suggest that genetic variation at the INSR, APOB , and APOA1/C3/A4 loci contributes to the development of non-insulin-dependent diabetes mellitus (NIDDM). The analysis of the INSR locus revealed “protective” haplotypes, and it may be possible to use two of the INSR haplotypes as genetic markers to identify individuals having a very low probability of developing NIDDM regardless of the presence of other genes conferring susceptibility to this disorder. The APOB and APOA1/C3/A4 loci appear to contribute to the development of NIDDM in individuals who are of lean/normal weight and overweight, respectively. The APOA1/C3/A4 locus may account for ∼8% of the difference between baseline and total possible risk of NIDDM in overweight individuals.