Blood pressure stability in hemodialysis patients confers a survival advantage: results from a large retrospective cohort study.

The association between changes in systolic and diastolic blood pressure, and the use of cardioprotective drugs on survival of incident hemodialysis patients, was examined in this retrospective cohort study. Pre-hemodialysis systolic and diastolic blood pressures were averaged over the first month of hemodialysis. Slopes, reflecting temporal changes, were computed by linear regression of systolic blood pressures and Cox regression was used for survival analyses. Patients were initially stratified into four cohorts (below 120, 120 to 150, 151 to 180, and above 180 mm Hg) and further subdivided into groups with stable (no more than a 1-mm Hg change per month), increasing (over 1-mm Hg per month), and decreasing (less than 1-mm Hg per month) slopes during the first year. Analyses were repeated for patients who were treated with cardioprotective drugs for 1 month or more in the second year. In 10,245 patients (59% prescribed cardioprotective drugs), both increases and decreases in all ranges of blood pressure were associated with worse outcomes, whereas stable blood pressure had a survival advantage at all levels of systolic and diastolic pressures. Use of cardioprotective drugs attenuated changes and improved survival. Validation and sensitivity analyses confirmed the primary findings. Therefore, previous temporal trends need to be considered in patient care, and the use of cardioprotective agents is associated with enhanced survival at all blood pressure levels.

Differentiating population stratification from genotyping error using family data.

Identifying population stratification and genotyping error are important for candidate gene association studies using the Transmission Disequilibrium Test (TDT). Although the TDT retains the prespecified Type I error in the presence of population stratification, the test may have decreased power in the presence of population stratification. Genotyping error can also cause the TDT to have an elevated Type I error. Differentiating population stratification from genotyping error remains a challenge for geneticists. Both genotyping error and population stratification can result in an increase in the observed homozygosity of a sample relative to that expected assuming Hardy-Weinberg Equilibrium (HWE). We show that when family data are available, even if a limited number of markers are genotyped, evaluating the markers that show statistically significant deviation from HWE with the Mating Type Distortion Test (MTDT)--a test based on the mating type distribution--can reliably differentiate genotyping error from population stratification. We simulate data based on several models of genotyping error in previously published literature, and show how this method could be used in practice to assist in differentiating population stratification from systematic genotyping error.

Testing for non-random mating: evidence for ancestry-related assortative mating in the Framingham heart study.

Population stratification leads to a predictable phenomenon-a reduction in the number of heterozygotes compared to that calculated assuming Hardy-Weinberg Equilibrium (HWE). We show that population stratification results in another phenomenon-an excess in the proportion of spouse-pairs with the same genotypes at all ancestrally informative markers, resulting in ancestrally related positive assortative mating. We use principal components analysis to show that there is evidence of population stratification within the Framingham Heart Study, and show that the first principal component correlates with a North-South European cline. We then show that the first principal component is highly correlated between spouses (r = 0.58, p = 0.0013), demonstrating that there is ancestrally related positive assortative mating among the Framingham Caucasian population. We also show that the single nucleotide polymorphisms loading most heavily on the first principal component show an excess of homozygotes within the spouses, consistent with similar ancestry-related assortative mating in the previous generation. This nonrandom mating likely affects genetic structure seen more generally in the North American population of European descent today, and decreases the rate of decay of linkage disequilibrium for ancestrally informative markers.

Interleukin 1 gene cluster, myocardial infarction at young age and inflammatory response of human mononuclear cells.

The objective was to investigate whether genotypes, haplotypes and haplotype-pairs of interleukin (IL) gene cluster are associated with risk of Myocardial Infarction (MI) at young age and with the release of IL-1B and expression of tissue factor pro-coagulant activity (TFPCA), after stimulation in vitro with lipopolysaccharide (LPS) of human peripheral blood mononuclear cells (PBMCs). Patients with MI at young age, frequency-matched for age, sex and recruitment centre, with healthy population-based controls and PBMCs from healthy volunteers were studied. Five single nucleotide polymorphisms (SNPs), identifying two haplotype-blocks, in IL-1B gene and one SNP in IL-1A and IL-RA genes were genotyped. In multivariate analyses, haplotype A2 (122) and A4 (112) were associated with decreased risk of MI [OR = 0.62 (95% CI = 0.40-0.95), p = 0.01; OR = 0.69 (95% CI = 0.51-0.92), p = 0.03, respectively]. Haplotype-pair A2/A2 showed significant reduction in the risk of MI [OR = 0.38 (95% CI = 0.18-0.81); p = 0.01]. Haplotype A2 and A4 were associated with lower levels of IL-1B (respectively p = 0.01; p = 0.04, multivariate analysis) and haplotype-pair A2/A4 showed decreased levels of IL-1beta (p = 0.02). No association was found between block "B" IL-1B haplotypes or IL-1A and IL-RA polymorphisms and risk of MI. IL-1B haplotypes influence the inflammatory response of human mononuclear cells to LPS and affect the risk of MI at young age.

IL1B gene promoter haplotype pairs predict clinical levels of interleukin-1beta and C-reactive protein.

Interleukin-1beta (IL-1beta) activates inflammatory mediator cascades and has been implicated in the pathogenesis of several diseases. Single nucleotide polymorphisms (SNPs) of the IL1B promoter have been associated with various inflammatory diseases. We recently reported that IL1B gene transcription was influenced by four promoter SNPs, and that individual SNP function in vitro was governed by haplotype context. In the present study we tested the in vivo relevance of this observation by comparing IL1B promoter haplotype-pairs with IL-1beta protein levels in 900 gingival tissue fluid samples. Three SNPs (-511, -1464, -3737) defined four IL1B promoter haplotypes that occurred in the study population and could be assigned unambiguously to each chromosome. The four haplotypes defined ten haplotype-pairs of which four pairs, representing 57% of the population, were associated with 28-52% higher IL-1beta protein levels in vivo. Two of these pairs, characterized by homozygosity for the common allele at -3737, were also associated with raised serum levels of C-reactive protein (p = 0.02). We validated these findings in stimulated peripheral blood mononuclear cells (PBMCs) from a separate population (N = 70). PBMCs with IL1B haplotype-pairs associated with higher in vivo levels of IL-1beta produced 86-287% more IL-1beta in vitro than the reference group. We believe that this is the first demonstration of a relationship between in vivo levels of an inflammatory mediator and gene promoter haplotypes on both chromosomes. These findings may apply to other inducible genes and could provide a logical framework for exploring disease risk related to genetic variability in pathogenic mediators.

The association of race with erythropoietin dose in patients on long-term hemodialysis.

BACKGROUND: Medicare data indicate that black hemodialysis patients receive greater doses of erythropoietin (EPO) than white patients when achieving similar hemoglobin levels. We confirmed and evaluated this observed association between race and EPO dose. STUDY DESIGN: Cross-sectional cohort study. SETTING & PARTICIPANTS: Primary Medicare-insured white (57%) and black (43%) adult long-term hemodialysis patients treated by Fresenius Medical Care who received EPO from January 1 to 31, 2004 (N = 44,721). PREDICTOR: White/black race. OUTCOMES: Average weekly EPO dose. MEASUREMENTS: Associations between race and baseline demographic and laboratory variables were evaluated by using logistic and linear regression models. Correlates of log-transformed weekly EPO dose were determined using linear regression models. RESULTS: Black patients received 12.6% more EPO than white patients (95% limits, 10.9% to 14.3%; P < 0.001). This racial difference in EPO dose was observed across similar hemoglobin levels despite fewer catheters (P < 0.001) and fewer prior hospitalization events in black patients (P = 0.002). Black patients were younger and had larger body size and greater albumin and biointact parathyroid hormone levels, but lower equilibrated Kt/V and white blood cell counts (all P < 0.001). In the 95th percentile of EPO dose (those receiving > 60,000 U/wk), there was a greater proportion of black patients (6% of total black population compared with only 4% in all white patients; P < 0.001). The difference in EPO dose between black and white patients was modified by age and was significant at ages younger than 45 and 65 years or older. LIMITATIONS: Observational study limited to white and black adult Medicare patients only, correlating with EPO doses from a single month, without adjustment for comorbid conditions. CONCLUSIONS: Black patients were administered approximately 12% greater EPO doses than white patients while achieving similar hemoglobin levels. We identified variables that differed across race that may explain this difference, but they were either not actionable or presented limited opportunity for intervention. Additional studies are needed to define a physiological (or pathological) basis for these observations.

Interleukin-1 genotypes modulate the long-term effect of lipoprotein(a) on cardiovascular events: The Ioannina Study.

BACKGROUND: Lipoprotein(a) [Lp(a)] is a genetic risk factor for cardiovascular disease (CVD), and proinflammatory interleukin-1 (IL-1) genotypes may influence Lp(a)-mediated CVD events. The genotype IL-1(+) is associated with higher rates of inflammation than IL-1(-) genotype. Targeting IL-1ß was recently shown to decrease CVD events independent of low-density lipoprotein-cholesterol levels. OBJECTIVE: The objective of the study is to assess the modulatory effect of IL-1 genotypes on risk mediated by Lp(a) METHODS: We assessed whether IL-1 genotypes modulate the effect of Lp(a) on major adverse cardiovascular events (cardiovascular death, myocardial infarction, and stroke/transient ischemic attack) and angiographically determined coronary artery disease (CAD). IL-1 genotypes and Lp(a) were measured in 603 patients without diabetes mellitus undergoing angiography. Major adverse cardiovascular events and CAD were assessed over a median of 45 months. RESULTS: In multivariable-adjusted analysis, Lp(a) was associated with major adverse cardiovascular events (hazard ratio [HR] [95% confidence interval {CI}]: 2.95 [1.16-7.54], P = .023) and CAD (odds ratio [OR] [95% CI]: 1.84 [1.12-3.03], P = .016) comparing quartile 4 vs quartile 1. In Cox regression analysis, IL-1(+) patients with Lp(a) above the median (>9.2 mg/dL) had a worse event-free cumulative survival (HR [95% CI]: 3.59 [1.07-12.03], P = .039) compared to IL-1(-) patients with Lp(a) below the median. In IL-1(+) patients aged ≤60 years, Lp(a) was also associated with angiographically determined CAD (OR [95% CI]: 2.90 [1.07-7.86], P = .036) comparing quartile 4 vs quartile 1 but not IL-1(-) patients. CONCLUSION: Proinflammatory IL-1(+) genotypes modulate the risk of Lp(a) long-term CVD events and CAD. These data suggest that the dual genetic contributions of elevated Lp(a) levels and IL-1(+) genotypes may identify younger subjects at particularly high risk for CVD events.

A genome-wide linkage scan for genes controlling variation in renal function estimated by serum cystatin C levels in extended families with type 2 diabetes.

We performed a variance components linkage analysis of renal function, measured as glomerular filtration rate (GFR), in 63 extended families with multiple members with type 2 diabetes. GFR was estimated from serum concentrations of cystatin C and creatinine in 406 diabetic and 428 nondiabetic relatives. Results for cystatin C were summarized because they are superior to creatinine results. GFR aggregates in families with significant heritability (h(2)) in diabetic (h(2) = 0.45, P < 1 x 10(-5)) and nondiabetic (h(2) = 0.36, P < 1 x 10(-3)) relatives. Genetic correlation (r(G) = 0.35) between the GFR of diabetic and nondiabetic relatives was less than one (P = 0.01), suggesting that genes controlling GFR variation in these groups are different. Linkage results supported this interpretation. In diabetic relatives, linkage was strong on chromosome 2q (logarithm of odds [LOD] = 4.1) and suggestive on 10q (LOD = 3.1) and 18p (LOD = 2.2). In nondiabetic relatives, linkage was suggestive on 3q (LOD = 2.2) and 11p (LOD = 2.1). When diabetic and nondiabetic relatives were combined, strong evidence for linkage was found only on 7p (LOD = 4.0). In conclusion, partially distinct sets of genes control GFR variation in relatives with and without diabetes on chromosome 2q, possibly on 10q and 18p in the former, and on 7p in both. None of these genes overlaps with genes controlling variation in urinary albumin excretion.

Interleukin-1 genotype-selective inhibition of inflammatory mediators by a botanical: a nutrigenetics proof of concept.

OBJECTIVE: Although observational studies have shown that genotype may influence nutritional effects on target outcomes, there are few reported studies that stratified subjects by genotype before a nutritional intervention. This proof-of-concept trial determined whether specifically formulated botanical mixtures reduced inflammation in individuals with genetic variations that predispose to overexpression of interleukin-1beta (IL-1beta) and early heart disease. METHODS: Healthy adults with elevated C-reactive protein (CRP) were stratified into genetic groups based on being positive (IL1(Pos)) or negative (IL1(Neg)) for the at-risk IL-1 gene variations. IL1(Pos) (n = 39) and IL1(Neg) (n = 40) subjects were then randomized to the candidate botanical formulation or placebo. The botanical formulation included rose hips, a blueberry and blackberry mixture, and a grapevine extract. RESULTS: At 12 wk of dosing with the botanical formulation, IL-1beta gene expression by stimulated peripheral blood mononuclear cells was significantly lower than at baseline and significantly lower than placebo in IL1(Pos) and IL1(Neg) subjects. Mean IL-1beta gene expression treatment effect over the 12-wk period was greater in IL1(Pos) than in IL1(Neg) subjects. At 12 wk of dosing the botanical mixture produced no mean change in serum CRP levels. However, in IL1(Pos) subjects, significantly more subjects achieved a reduction in CRP with the botanical mixture than with placebo. No CRP effect was observed in the IL1(Neg) subjects. CONCLUSION: This study represents one of a few prospective clinical trials in which genetic variations were shown to differentially influence nutrient effects on outcomes.

Novel pheochromocytoma susceptibility loci identified by integrative genomics.

Pheochromocytomas are catecholamine-secreting tumors that result from mutations of at least six different genes as components of distinct autosomal dominant disorders. However, there remain familial occurrences of pheochromocytoma without a known genetic defect. We describe here a familial pheochromocytoma syndrome consistent with digenic inheritance identified through a combination of global genomics strategies. Multipoint parametric linkage analysis revealed identical LOD scores of 2.97 for chromosome 2cen and 16p13 loci. A two-locus parametric linkage analysis produced maximum LOD score of 5.16 under a double recessive multiplicative model, suggesting that both loci are required to develop the disease. Allele-specific loss of heterozygosity (LOH) was detected only at the chromosome 2 locus in all tumors from this family, consistent with a tumor suppressor gene. Four additional pheochromocytomas with a similar genetic pattern were identified through transcription profiling and helped refine the chromosome 2 locus. High-density LOH mapping with single nucleotide polymorphism-based array identified a total of 18 of 62 pheochromocytomas with LOH within the chromosome 2 region, which further narrowed down the locus to <2 cM. This finding provides evidence for two novel susceptibility loci for pheochromocytoma and adds a recessive digenic trait to the increasingly broad genetic heterogeneity of these tumors. Similarly, complex traits may also be involved in other familial cancer syndromes.

Influence of Obesity on Periodontitis Progression Is Conditional on Interleukin-1 Inflammatory Genetic Variation.

BACKGROUND: This study evaluates whether specific patterns of interleukin (IL)-1 gene variants, known to affect periodontitis severity, influence the previously reported association between obesity and subsequent periodontitis progression in a longitudinal database. The study population included 292 men (aged 29 to 64 years at entry) from the Veterans Affairs Dental Longitudinal Study from whom DNA and dental and anthropometric endpoints were collected during multiple examinations (approximately every 3 years for up to 27 years). METHODS: Key variables assessed included: 1) periodontitis; 2) body mass index; 3) waist circumference to height (WHTR) ratio for central adiposity; 4) age; 5) smoking; 6) glucose tolerance; and 7) two previously reported versions of IL-1 genetic patterns associated with periodontitis severity and progression. Disease progression was determined using predefined criteria that used a combination of change in classification of disease severity based on alveolar bone loss and tooth loss during follow-up. Extended Cox regression analyses were used to estimate hazards of experiencing periodontal disease progression with or without adjustments for appropriate covariates. RESULTS: In hazard ratio analyses, men with WHTR >50% at baseline and positive for either IL-1 genotype version were at significantly higher risk (two-fold) for disease progression (P for interaction = 0.04). Participants positive for IL-1 genotype version 2 exhibited earlier progression (fewer years from baseline to first incidence of progression) than those who were negative (P = 0.02, adjusted for age and smoking). CONCLUSION: In this longitudinally monitored male population, observed effect of baseline central adiposity on future periodontitis progression is conditional on proinflammatory IL-1 genetic variations.

Implementation of routine foot check in patients with diabetes on hemodialysis: associations with outcomes.

OBJECTIVE: Patients with diabetes are at increased risk of foot ulcers, which may result in limb amputations. While regular foot care prevents ulcerations and amputation in those patients with diabetes not on dialysis, evidence is limited in diabetic hemodialysis patients. We investigated the association between the implementation of a routine foot check program in diabetic incident hemodialysis patients, and major lower limb amputations. METHODS: In 1/2008, monthly intradialytic foot checks were implemented as part of standard clinic care in all Fresenius Medical Care North America hemodialysis facilities. Patients with diabetes who initiated hemodialysis between 1/2004 and 12/2007 constituted the preimplementation cohort, and patients starting hemodialysis between 1/2008 and 12/2011 comprised the postimplementation cohort. In addition, we conducted a sensitivity analysis where we excluded patients from the clinics with <10 patients in the postimplementation period and where percent difference in patient with diabetes number between postimplementation and preimplementation period was <20%. We compared lower limb amputation rates employing Poisson regression models with offset of exposure time in these two cohorts. RESULTS: We studied 35 513 patients in the preimplementation and 25 779 patients in the postimplementation cohort. In the postimplementation cohort, amputation rate decreased by 17% (p=0.0034). The major lower limb amputation rate was 1.30 per 100 patient years in preimplementation and 1.07 in postimplementation cohort. These beneficial results were corroborated in the multivariate analysis (p=0.0175) and were even more pronounced in the sensitivity analysis (p=0.0083). CONCLUSION: Monthly foot checks are associated with reduction of major lower limb amputations in diabetic incident hemodialysis patients.

Genetic studies of late diabetic complications: the overlooked importance of diabetes duration before complication onset.

Genes play a role in many processes underlying late diabetic complications, but efforts to identify genetic variants have produced disappointing and contradictory results. Here, we evaluate whether the study designs and analytic methods commonly being used are optimal for finding susceptibility genes for diabetic complications. We do so by generating plausible genetic models and assessing the performance of case-control and family-based trio study designs. What emerges as a key determinant of success is duration of diabetes. This perspective focuses on duration of diabetes before complication onset and its influence on the ability to detect major and minor gene effects. It does not delve into the distinct effect of duration after complication onset, which can enrich case subjects with genotypes conferring survival advantage. We use clinically diagnosed nephropathy in type 1 diabetes to show how ignoring duration can result in considerable power loss in both case-control and family-based trio designs. We further show how, under certain circumstances, disregard for duration information can paradoxically lead to implicating nonrisk alleles as causative. Our results indicate that problems can be minimized by selecting case subjects with short diabetes duration and, to a lesser extent, control subjects with long duration or, perhaps, by adjusting for duration during analysis.

Polymorphism in ecto-nucleotide pyrophosphatase/phosphodiesterase 1 gene (ENPP1/PC-1) and early development of advanced diabetic nephropathy in type 1 diabetes.

A polymorphism in the ecto-nucleotide pyrophosphatase/phosphodiesterase 1 gene (ENPP1) (previously known as PC-1), resulting in an amino acid change from lysine to glutamine at codon 121 (K121Q), is associated with insulin resistance. A small follow-up study of patients with type 1 diabetes and proteinuria found that renal function declines more rapidly in carriers of the Q variant than in noncarriers. To examine this finding further, we conducted a large case-control study and a family-based study. Genomic DNA was obtained from 659 patients: 307 with normal urinary albumin excretion despite diabetes duration of >15 years (control subjects) and 352 with advanced diabetic nephropathy, of whom 200 had persistent proteinuria and 152 had end-stage renal disease (ESRD). Individuals were genotyped for Q and K variants using a previously described protocol. The frequency of Q variant carriers was 21.5% in control subjects, 31.5% in subjects with proteinuria, and 32.2% in subjects with ESRD (P = 0.012). In a stratified analysis according to duration of diabetes, the risk of early-onset ESRD for carriers of the Q variant was 2.3 times that for noncarriers (95% CI, 1.2-4.6). The Q variant was not associated with late-onset ESRD. Similar findings were obtained in a family-based study. We conclude that carriers of the Q variant of ENPP1 are at increased risk for developing ESRD early in the course of type 1 diabetes.

Pro-inflammatory interleukin-1 genotypes potentiate the risk of coronary artery disease and cardiovascular events mediated by oxidized phospholipids and lipoprotein(a).

OBJECTIVES: The aim of this study was to assess the influence of pro-inflammatory interleukin (IL)-1 genotype status on the risk for coronary artery disease (CAD), defined as >50% diameter stenosis, and cardiovascular events mediated by oxidized phospholipids (OxPLs) and lipoprotein (Lp) (a). BACKGROUND: OxPLs are pro-inflammatory, circulate on Lp(a), and mediate CAD. Genetic variations in the IL-1 region are associated with increased inflammatory mediators. METHODS: IL-1 genotypes, OxPL on apolipoprotein B-100 (OxPL/apoB), and Lp(a) levels were measured in 499 patients undergoing coronary angiography. The composite genotype termed IL-1(+) was defined by 3 single-nucleotide polymorphisms in the IL-1 gene cluster associated with higher levels of pro-inflammatory cytokines. All other IL-1 genotypes were termed IL-1(-). RESULTS: Among IL-1(+) patients, the highest quartile of OxPL/apoB was significantly associated with a higher risk for CAD compared with the lowest quartile (odds ratio [OR]: 2.84; p = 0.001). This effect was accentuated in patients age ≤60 years (OR: 7.03; p < 0.001). In IL-1(-) patients, OxPL/apoB levels showed no association with CAD. The interaction was significant for OxPL/apoB (OR: 1.99; p = 0.004) and Lp(a) (OR: 1.96; p < 0.001) in the IL-1(+) group versus the IL-1(-) group in patients age ≤60 years but not in those age >60 years. In IL-1(+) patients age ≤60 years, after adjustment for established risk factors, high-sensitivity C-reactive protein, and Lp(a), OxPL/apoB remained an independent predictor of CAD. IL-1(+) patients above the median OxPL/apoB presented to the cardiac catheterization laboratory a mean of 3.9 years earlier (p = 0.002) and had worse 4-year event-free survival (death, myocardial infarction, stroke, and need for revascularization) compared with other groups (p = 0.006). CONCLUSIONS: Our study suggests that IL-1 genotype status can stratify population risk for CAD and cardiovascular events mediated by OxPL. These data suggest a clinically relevant biological link between pro-inflammatory IL-1 genotype, oxidation of phospholipids, Lp(a), and genetic predisposition to CAD and cardiovascular events.

The power of the Transmission Disequilibrium Test in the presence of population stratification.

The Transmission Disequilibrium Test (TDT) is a family-based test for association based on the rate of transmission of alleles from heterozygous parents to affected offspring, and has gained popularity as this test preserves the Type I error rate. Population stratification results in a decreased number of heterozygous parents compared to that expected assuming Hardy-Weinberg Equilibrium (Wahlund Effect). We show that population stratification changes the relative proportion of the informative mating types. The decrease in the number of heterozygous parents and the change in the relative proportion of the informative mating types result in significant changes to the sample sizes required to achieve the power desired. We show examples of the changes in sample sizes, and provide an easy method for estimating TDT sample sizes in the presence of population stratification. This method potentially aids in reducing the number of false-negative association studies.

Genome-wide association scan for diabetic nephropathy susceptibility genes in type 1 diabetes.

OBJECTIVE: Despite extensive evidence for genetic susceptibility to diabetic nephropathy, the identification of susceptibility genes and their variants has had limited success. To search for genes that contribute to diabetic nephropathy, a genome-wide association scan was implemented on the Genetics of Kidneys in Diabetes collection. RESEARCH DESIGN AND METHODS: We genotyped approximately 360,000 single nucleotide polymorphisms (SNPs) in 820 case subjects (284 with proteinuria and 536 with end-stage renal disease) and 885 control subjects with type 1 diabetes. Confirmation of implicated SNPs was sought in 1,304 participants of the Diabetes Control and Complications Trial (DCCT)/Epidemiology of Diabetes Interventions and Complications (EDIC) study, a long-term, prospective investigation of the development of diabetes-associated complications. RESULTS: A total of 13 SNPs located in four genomic loci were associated with diabetic nephropathy with P < 1 x 10(-5). The strongest association was at the FRMD3 (4.1 protein ezrin, radixin, moesin [FERM] domain containing 3) locus (odds ratio [OR] = 1.45, P = 5.0 x 10(-7)). A strong association was also identified at the CARS (cysteinyl-tRNA synthetase) locus (OR = 1.36, P = 3.1 x 10(-6)). Associations between both loci and time to onset of diabetic nephropathy were supported in the DCCT/EDIC study (hazard ratio [HR] = 1.33, P = 0.02, and HR = 1.32, P = 0.01, respectively). We demonstratedexpression of both FRMD3 and CARS in human kidney. CONCLUSIONS: We identified genetic associations for susceptibility to diabetic nephropathy at two novel candidate loci near the FRMD3 and CARS genes. Their identification implicates previously unsuspected pathways in the pathogenesis of this important late complication of type 1 diabetes.

High-density single nucleotide polymorphism genome-wide linkage scan for susceptibility genes for diabetic nephropathy in type 1 diabetes: discordant sibpair approach.

OBJECTIVE: Epidemiological and family studies have demonstrated that susceptibility genes play an important role in the etiology of diabetic nephropathy, defined as persistent proteinuria or end-stage renal disease (ESRD) in type 1 diabetes. RESEARCH DESIGN AND METHODS: To efficiently search for genomic regions harboring diabetic nephropathy genes, we conducted a scan using 5,382 informative single nucleotide polymorphisms on 100 sibpairs concordant for type 1 diabetes but discordant for diabetic nephropathy. In addition to being powerful for detecting linkage to diabetic nephropathy, this design allows linkage analysis on type 1 diabetes via traditional affected sibpair (ASP) analysis. In weighing the evidence for linkage, we considered maximum logarithm of odds score (maximum likelihood score [MLS]) values and corresponding allelic sharing patterns, calculated and viewed graphically using the software package SPLAT. RESULTS: Our primary finding for diabetic nephropathy, broadly defined, is on chromosome 19q (MLS = 3.1), and a secondary peak exists on chromosome 2q (MLS = 2.1). Stratification of discordant sibpairs based on whether disease had progressed to ESRD suggested four tertiary peaks on chromosome 1q (ESRD only), chromosome 20p (proteinuria only), and chromosome 3q (two loci 58 cm apart, one for ESRD only and another for proteinuria only). Additionally, analysis of 130 ASPs for type 1 diabetes confirmed the linkage to the HLA region on chromosome 6p (MLS = 9.2) and IDDM15 on chromosome 6q (MLS = 3.1). CONCLUSIONS: This study identified several novel loci as candidates for diabetic nephropathy, none of which appear to be the sole genetic determinant of diabetic nephropathy in type 1 diabetes. In addition, this study confirms two previously reported type 1 diabetes loci.

Analysis of TBX1 variation in patients with psychotic and affective disorders.

A significant portion of patients with 22q11 deletion syndrome (22q11DS) develop psychiatric disorders, including schizophrenia and other psychotic and affective symptoms, and the responsible gene/s are assumed to also play a significant role in the etiology of nonsyndromic psychiatric disease. The most common psychiatric diagnosis among patients with 22q11DS is schizophrenia, thought to result from neurotransmitter imbalances and also from disturbed brain development. Several genes in the 22q11 region with known or suspected roles in neurotransmitter metabolism have been analyzed in patients with isolated schizophrenia; however, their contribution to the disease remains controversial. Haploinsufficiency of the TBX1 gene has been shown to be sufficient to cause the core physical malformations associated with 22q11DS in mice and humans and via abnormal brain development could contribute to 22q11DS-related and isolated psychiatric disease. 22q11DS populations also have increased rates of psychiatric conditions other than schizophrenia, including mood disorders. We therefore analyzed variations at the TBX1 locus in a cohort of 446 white patients with psychiatric disorders relevant to 22q11DS and 436 ethnically matched controls. The main diagnoses included schizophrenia (n = 226), schizoaffective disorder (n = 67), bipolar disorder (n = 82), and major depressive disorder (n = 29). We genotyped nine tag SNPs in this sample but did not observe significant differences in allele or haplotype frequencies in any of the analyzed groups (all affected, schizophrenia and schizoaffective disorder, schizophrenia alone, and bipolar disorder and major depressive disorder) compared with the control group. Based on these results we conclude that TBX1 variation does not make a strong contribution to the genetic etiology of nonsyndromic forms of psychiatric disorders commonly seen in patients with 22q11DS.

A novel framework for sib pair linkage analysis.

Sib pair linkage analysis of a dichotomous trait is a popular method for narrowing the search for genes that influence complex diseases. Although the pedigree structures are uncomplicated and the underlying genetic principles straightforward, a surprising degree of complexity is involved in implementing a sib pair study and interpreting the results. Ascertainment may be based on affected, discordant, or unaffected sib pairs, as well as on pairs defined by threshold values for quantitative traits, such as extreme discordant sib pairs. To optimize power, various domain restrictions and null hypotheses have been proposed for each of these designs, yielding a wide array of choices for the analyst. To begin, we systematically classify the major sources of discretion in sib pair linkage analysis. Then, we extend the work of Kruglyak and Lander (1995), to bring the various forms into a unified framework and to facilitate a more general approach to the analysis. Finally, we describe a new, freely available computer program, Splat (Sib Pair Linkage Analysis Testing), that can perform any sib pair statistical test currently in use, as well as any user-defined test yet to be proposed. Splat uses the expectation maximization algorithm to calculate maximum-likelihood estimates of sharing (subject to user-specified conditions) and then plots LOD scores versus chromosomal position. It includes a novel grid-scanning capability that enables simultaneous visualization of multiple test statistics. This can lead to further insight into the genetic basis of the disease process under consideration. In addition, phenotype definitions can be modified without the recalculation of inheritance vectors, thereby providing considerable flexibility for exploratory analysis. The application of Splat will be illustrated with data from studies on the genetics of diabetic nephropathy.