Biomedical subjects

C D Langefeld

Publications and source records attributed to C D Langefeld.

At least 37 records · Page 2Linked to original sources

PubMed2001

Multilocus linkage analysis of the German asthma data.

We analyzed data from the German Asthma Genetics Group with three methods that utilize pedigree-specific nonparametric linkage scores to facilitate the search for multiple independent and interacting susceptibility loci. The three methods included a conditional analysis, logistic regression, and neural networks. Although there were differences, the three methods identified many of the same susceptibility loci. The most consistent evidence was provided for loci on chromosomes 1, 2, 6, 9, and 15. Both the conditional and the logistic regression analyses suggested an epistatic relationship between loci on chromosomes 2 and 9. The logistic regression analysis further revealed evidence for locus heterogeneity between loci on chromosomes 6 and 15. Finally, the neural network analysis identified a potential locus on chromosome 17 that was not identified in the other analyses.

Adult↗

PubMed2001

Familial aggregation of coronary artery calcium in families with type 2 diabetes.

Type 2 diabetes is widely recognized as a major risk factor for atherosclerotic cardiovascular disease, including subclinical atherosclerosis as measured by noninvasive procedures. However, the role of genetic factors that contribute to various measures of subclinical atherosclerosis is largely unknown. We hypothesize that subclinical atherosclerosis, measured as coronary artery calcification (CAC), will be extensive in individuals with type 2 diabetes and that its presence depends on both genetic and environmental factors. The genetic factors should result in the familial aggregation of CAC. To determine the extent of familial aggregation of CAC in the presence of type 2 diabetes, we studied 122 individuals with type 2 diabetes (mean age 60 years) and 13 individuals without diabetes in 56 families. CAC was measured by fast-gated helical computed tomography. Other measured factors included blood pressure, body size, lipids, HbA1c, and self-reported medical history. To test for an association between CAC and these factors while accounting for the potential familial correlation of CAC, generalized estimating equations were used. CAC was detectable in 80% of individuals with diabetes (median score 84, range 0-5,776). Extent of CAC, adjusted for age, was positively associated with male sex (P = 0.0003), reduced HDL (P = 0.02), albumin-to-creatinine ratio (P = 0.008), and cigarette pack-years (P = 0.03). CAC was also positively associated with a history of angina, myocardial infarction, stroke, and vascular procedures (all P < 0.01). HbA1c and fasting glucose were positively, but nonsignificantly, associated with the extent of CAC (P = 0.14 and 0.08, respectively). CAC, adjusted for age, sex, race, and diabetes status, was heritable (h2 = 0.50; P = 0.009). In multivariate analysis with additional adjustment for HDL, BMI, hypertension, and smoking, h2 = 0.40 (P = 0.038). These results suggest that strong (independent) genetic factors as well as environmental factors contribute to the variance of CAC in individuals with type 2 diabetes. In these data, CAC seems heritable and may serve as an important feature in designing studies to map genes contributing to both atherosclerosis and type 2 diabetes.

Aged↗

PubMed2000

The Finland-United States investigation of non-insulin-dependent diabetes mellitus genetics (FUSION) study. I. An autosomal genome scan for genes that predispose to type 2 diabetes.

We performed a genome scan at an average resolution of 8 cM in 719 Finnish sib pairs with type 2 diabetes. Our strongest results are for chromosome 20, where we observe a weighted maximum LOD score (MLS) of 2.15 at map position 69.5 cM from pter and secondary weighted LOD-score peaks of 2.04 at 56.5 cM and 1.99 at 17.5 cM. Our next largest MLS is for chromosome 11 (MLS = 1.75 at 84.0 cM), followed by chromosomes 2 (MLS = 0.87 at 5.5 cM), 10 (MLS = 0.77 at 75.0 cM), and 6 (MLS = 0.61 at 112.5 cM), all under an additive model. When we condition on chromosome 2 at 8.5 cM, the MLS for chromosome 20 increases to 5.50 at 69.0 cM (P=.0014). An ordered-subsets analysis based on families with high or low diabetes-related quantitative traits yielded results that support the possible existence of disease-predisposing genes on chromosomes 6 and 10. Genomewide linkage-disequilibrium analysis using microsatellite marker data revealed strong evidence of association for D22S423 (P=.00007). Further analyses are being carried out to confirm and to refine the location of these putative diabetes-predisposing genes.

Aged↗

PubMed2000

The Finland-United States investigation of non-insulin-dependent diabetes mellitus genetics (FUSION) study. II. An autosomal genome scan for diabetes-related quantitative-trait loci.

Type 2 diabetes mellitus is a complex disorder encompassing multiple metabolic defects. We report results from an autosomal genome scan for type 2 diabetes-related quantitative traits in 580 Finnish families ascertained for an affected sibling pair and analyzed by the variance components-based quantitative-trait locus (QTL) linkage approach. We analyzed diabetic and nondiabetic subjects separately, because of the possible impact of disease on the traits of interest. In diabetic individuals, our strongest results were observed on chromosomes 3 (fasting C-peptide/glucose: maximum LOD score [MLS] = 3.13 at 53.0 cM) and 13 (body-mass index: MLS = 3.28 at 5.0 cM). In nondiabetic individuals, the strongest results were observed on chromosomes 10 (acute insulin response: MLS = 3.11 at 21.0 cM), 13 (2-h insulin: MLS = 2.86 at 65.5 cM), and 17 (fasting insulin/glucose ratio: MLS = 3.20 at 9.0 cM). In several cases, there was evidence for overlapping signals between diabetic and nondiabetic individuals; therefore we performed joint analyses. In these joint analyses, we observed strong signals for chromosomes 3 (body-mass index: MLS = 3.43 at 59.5 cM), 17 (empirical insulin-resistance index: MLS = 3.61 at 0.0 cM), and 19 (empirical insulin-resistance index: MLS = 2.80 at 74.5 cM). Integrating genome-scan results from the companion article by Ghosh et al., we identify several regions that may harbor susceptibility genes for type 2 diabetes in the Finnish population.

Age Factors↗

PubMed2000

Further evidence for a susceptibility locus for type 2 diabetes on chromosome 20q13.1-q13.2.

We previously reported suggestive linkage between type 2 diabetes and markers in a region on chromosome 20q using data from a collection of 29 Caucasian families in which type 2 diabetes with middle-age-onset was segregated as an autosomal-dominant disorder. To map more precisely the susceptibility locus (or loci) within this broad region, we increased the family collection and genotyped all families for additional markers, both within the critical region and spaced over the rest of chromosome 20. Altogether 526 individuals (including 241 with diabetes) from the total collection of 43 families were included in the study. All individuals were genotyped for 23 highly polymorphic markers. Positive evidence for linkage was found for a 10-cM region on the long arm of chromosome 20q13.1-q13.2 between markers D20S119 and D20S428. The strongest evidence in two-point as well as multipoint linkage analysis (P = 1.8 x 10(-5)) occurred at the position corresponding to marker D20S196. The individuals with diabetes in the seven most strongly linked families had high serum insulin levels during fasting and 2-h post-glucose load periods. We did not find any evidence for linkage between type 2 diabetes and any other region on chromosome 20. In conclusion, our larger and more comprehensive study showed very strong evidence for a susceptibility gene for insulin-resistant type 2 diabetes located on the long arm of chromosome 20 around marker D20S196.

Aged↗

PubMed2000

The polymorphic exon 1 androgen receptor CAG repeat in men with a potential inherited predisposition to prostate cancer.

Recent studies have provided epidemiological evidence in support of a possible prostate cancer susceptibility locus on the X chromosome. The androgen receptor (AR) gene, located at Xq11-12, has been implicated as a risk factor for the development of prostate cancer. To examine the potential role of the AR locus in prostate cancer susceptibility, the AR CAG repeat length was measured in 270 Caucasian men with prostate cancer from 133 unrelated families. Each of these families has two or more confirmed cases of prostate cancer occurring in first- and/or second-degree relatives. No evidence for linkage of the AR gene to prostate cancer was observed. We tested for the previously reported association of short CAG alleles with prostate cancer using t tests, Pearson's chi2 tests, and logistic regression; analyses were subsequently repeated to incorporate only men with moderate- to high-grade prostate cancer. No association between AR CAG allele length and prostate cancer was detected when either a subset of unrelated patients or a subset of unrelated patients with moderate- to high-grade cancer was compared with a set of unrelated controls. We failed to detect an association between short AR CAG alleles and early age of prostate cancer diagnosis. Once specific hereditary prostate cancer genes have been identified, future studies can more carefully delineate the potential role of this AR polymorphism as a modifier locus in high-risk families.

Adult↗

PubMed1999

Type 2 diabetes: evidence for linkage on chromosome 20 in 716 Finnish affected sib pairs.

We are conducting a genome scan at an average resolution of 10 centimorgans (cM) for type 2 diabetes susceptibility genes in 716 affected sib pairs from 477 Finnish families. To date, our best evidence for linkage is on chromosome 20 with potentially separable peaks located on both the long and short arms. The unweighted multipoint maximum logarithm of odds score (MLS) was 3.08 on 20p (location, chi = 19.5 cM) under an additive model, whereas the weighted MLS was 2.06 on 20q (chi = 57 cM, recurrence risk,lambda(s) = 1. 25, P = 0.009). Weighted logarithm of odds scores of 2.00 (chi = 69.5 cM, P = 0.010) and 1.92 (chi = 18.5 cM, P = 0.013) were also observed. Ordered subset analyses based on sibships with extreme mean values of diabetes-related quantitative traits yielded sets of families who contributed disproportionately to the peaks. Two-hour glucose levels in offspring of diabetic individuals gave a MLS of 2. 12 (P = 0.0018) at 9.5 cM. Evidence from this and other studies suggests at least two diabetes-susceptibility genes on chromosome 20. We have also screened the gene for maturity-onset diabetes of the young 1, hepatic nuclear factor 4-a (HNF-4alpha) in 64 affected sibships with evidence for high chromosomal sharing at its location on chromosome 20q. We found no evidence that sequence changes in this gene accounted for the linkage results we observed.

Adult↗

PubMed1999

The W64R variant of the beta3-adrenergic receptor is not associated with type II diabetes or obesity in a large Finnish sample.

Recent studies have suggested an association between Type II (non-insulin-dependent) diabetes mellitus-related phenotypes and a cytosine-to-thymidine substitution that results in the replacement of tryptophan by arginine at codon 64 (Trp64Arg or W64R) of the beta3-adrenergic receptor gene. Here, we present the results of possibly the largest association study to date on the variant in a sample of 526 families with a total of 1725 subjects, 1053 of whom had Type II diabetes. Preliminary calculations suggested that we had excellent power to detect the moderate associations which were reported in previous studies. No associations were found between the W64R variant and the following phenotypes in our sample: Type II diabetes, age at diagnosis for Type II diabetes, measures of obesity, fasting glucose, fasting insulin, minimal model variables, and systolic and diastolic blood pressures. In the analysis of plasma lipids, we detected an association between the variant and HDL ratios (HDL cholesterol/total cholesterol) (p = 0.013), which remained significant even after adjusting for sex, affection status and age. Since W64R homozygotes (n = 11) had the highest HDL ratios, however, heterozygotes had the lowest and the wild-type subjects had intermediate values, we conclude that the W64R variant is unlikely to reduce HDL ratios in a dose-dependent, pathogenic manner.

Adult↗

PubMed1998

Genetic association mapping based on discordant sib pairs: the discordant-alleles test.

Family-based tests of association provide the opportunity to test for an association between a disease and a genetic marker. Such tests avoid false-positive results produced by population stratification, so that evidence for association may be interpreted as evidence for linkage or causation. Several methods that use family-based controls have been proposed, including the haplotype relative risk, the transmission-disequilibrium test, and affected family-based controls. However, because these methods require genotypes on affected individuals and their parents, they are not ideally suited to the study of late-onset diseases. In this paper, we develop several family-based tests of association that use discordant sib pairs (DSPs) in which one sib is affected with a disease and the other sib is not. These tests are based on statistics that compare counts of alleles or genotypes or that test for symmetry in tables of alleles or genotypes. We describe the use of a permutation framework to assess the significance of these statistics. These DSP-based tests provide the same general advantages as parent-offspring trio-based tests, while being applicable to essentially any disease; they may also be tailored to particular hypotheses regarding the genetic model. We compare the statistical properties of our DSP-based tests by computer simulation and illustrate their use with an application to Alzheimer disease and the apolipoprotein E polymorphism. Our results suggest that the discordant-alleles test, which compares the numbers of nonmatching alleles in DSPs, is the most powerful of the tests we considered, for a wide class of disease models and marker types. Finally, we discuss advantages and disadvantages of the DSP design for genetic association mapping.

Alleles↗

PubMed1998

Mapping genes for NIDDM. Design of the Finland-United States Investigation of NIDDM Genetics (FUSION) Study.

OBJECTIVE: To map and identify susceptibility genes for NIDDM and for the intermediate quantitative traits associated with NIDDM. RESEARCH DESIGN AND METHODS: We describe the methodology and sample of the Finland-United States Investigation of NIDDM Genetics (FUSION) study. The whole genome search approach is being applied in studies of several different ethnic groups to locate susceptibility genes for NIDDM. Detailed description of the study materials and designs of such studies are important, particularly when comparing the findings in these studies and when combining different data sets. RESULTS: Using a careful selection strategy, we have ascertained 495 families with confirmed NIDDM in at least two siblings and no history of IDDM among the first-degree relatives. These families were chosen from more than 22,000 NIDDM patients, representative of patients with NIDDM in the Finnish population. In a subset of families, a spouse and offspring were sampled, and they participated in a frequently sampled intravenous glucose tolerance test (FSIGT) analyzed with the Minimal Model. An FSIGT was completed successfully for at least two nondiabetic offspring in 156 families with a confirmed nondiabetic spouse and no history of IDDM in first-degree relatives. CONCLUSIONS: Our work demonstrates the feasibility of collecting a large number of affected sib-pair families with NIDDM to provide data that will enable a whole genome search approach, including linkage analysis.

Age of Onset↗

PubMed1996

Some techniques for the analysis of work sampling data.

Work sampling is an observational technique that produces counts representing the number of times that an individual has been observed performing each of several tasks. These data are collected using either systematic or random times of observation, and typically exhibit correlation between repeated observations on the same individual, with the degree of correlation being a function of the amount of time elapsed between measurements. Using several recently developed statistical techniques, we illustrate how it is possible to carry out analyses of these nominal outcomes that account for the correlation between repeated outcomes. We use description of a work sampling study to motivate the techniques and we compare empirically results from analyses based on several different underlying assumptions.

Adult↗

PubMed1996

Behavioral intervention to increase condom use among high-risk female adolescents.

OBJECTIVE: To determine whether condom use among high-risk female adolescents could be increased by a behavioral intervention, with the use of infection with Chlamydia trachomatis as a biomarker of condom practices. DESIGN: Prospective, randomized, controlled intervention. SETTING: Urban family planning and sexually transmitted disease clinics. PARTICIPANTS: Two hundred nine female adolescents, aged 15 through 19 years, who were treated for C. trachomatis genitourinary infection, were randomly assigned to standard (control) or experimental (behavioral intervention) groups. One hundred twelve subjects returned for follow-up 5 to 7 months after enrollment and comprise the study subjects. MEASUREMENTS: Subjects completed a multiinstrument questionnaire measuring sexual behavior, condom practices, attitudes and beliefs, cognitive complexity, sociodemographics, and motivation at enrollment and follow-up. Endourethral and endocervical sites were sampled for C. trachomatis. RESULTS: Among the 112 subjects who returned for repeated examination, those who had received the experimental intervention reported increased use of condoms by their sexual partners for protection against sexually transmitted diseases (odds ratio = 2.4; p = 0.02) and for vaginal intercourse (odds ratio = 3.1; p = 0.005) at the 6-month follow-up. Multivariable logistic regression analysis controlling for condom use at enrollment demonstrated that the experimental intervention (odds ratio = 2.8; p = 0.03) and the higher cognitive complexity (odds ratio = 4.6; p = 0.02) independently contributed to greater condom use at follow-up. Despite greater use of condoms among the group who had received the intervention, use remained inconsistent and rates of reinfection with C. trachomatis were not significantly different (26% vs 17%; p = 0.3). CONCLUSION: Although a brief behavioral intervention among high-risk female adolescents can increase condom use by their sexual partners, incident infection does not appear to be reduced, because condom use remained inconsistent.

Adolescent↗

PubMed1995

Primary care physician productivity: the physician factor.

OBJECTIVES: To model physician productivity as a function of clinic (support system) characteristics and physician characteristics and to model the time a physician spends with the patient as a function of patient characteristics. DESIGN: Observational study. SETTING: A general medicine clinic of a university-affiliated Veterans Affairs medical center. PATIENTS: A cohort of 2,520 patients having 2,721 consecutive outpatient visits to 56 physicians. MAIN OUTCOME MEASURES: Physician productivity defined as patients seen/physician/hour and time (minutes) spent with the patient. RESULTS: Physicians saw a mean (+/- SD) of 1.62 +/- 0.68 patients/hour. Clinic characteristics explained 8.2% of the variability of session-specific physician productivity. Controlling for clinic characteristics, a factor representing the physician explained an additional 55.4%. A model for overall physician productivity, using physician characteristics, explained 84.9% of the variance, and time spent with the patient was an important predictor. Modeling physician time with patients, patient characteristics accounted for only 7% of the variability. Controlling for patient characteristics, the individual physician again provided the greatest explanatory power, an additional 22.8% of the variability. CONCLUSIONS: Physicians' practice patterns, rather than clinic or patient characteristics, may account for most of the variation in physician productivity. Given the magnitude of the influence of individual practice patterns, interventions to increase productivity need to consider methods to affect physician behavior.

Appointments and Schedules↗

PubMed1995

Patterns of referral and examination for retinopathy in pregnant women with diabetes by primary care physicians.

PURPOSE: Family practice (FP), General Practice (GP) and obstetrics-gynecology (OB/GYN) physicians were surveyed to determine whether they routinely referred pregnant patients with diabetes to an ophthalmologist, looked into the patient's eyes to screen for retinopathy, and dilated the eyes for fundi examination. METHODS: Hospitals providing obstetrical services were contacted to identify primary-care physicians. Physicians identified as having obstetrical privileges were surveyed by mail to determine if they were actively providing obstetrical care. Physicians who provided both obstetrical and diabetes care were mailed a survey. RESULTS: Of 668 physicians surveyed, 429 responded: 224 FPS, 184 OB/GYNS and 21 GPS. A relatively small percentage (27%) of physicians in both groups routinely refer all of their pregnant patients with pre-existing diabetes to an ophthalmologist. Family practice physicians were more likely to perform an eye exam to screen for retinopathy in patients with both pre-existing and gestational diabetes than OB/GYNS (p < .0005). Only 11% of FPS and no OB/GYNS reported that they dilated the eyes when performing a fundus examination (p = .04). CONCLUSION: The physicians surveyed under-utilize recommended strategies for eye care of pregnant women with pre-existing diabetes. Based upon these results, we call for a recommitment to partnership of primary-care physicians and ophthalmologists in the detection and treatment of diabetic retinopathy during pregnancy.

Adult↗

PubMed1993

Reduction of lower extremity clinical abnormalities in patients with non-insulin-dependent diabetes mellitus. A randomized, controlled trial.

OBJECTIVE: To evaluate the effect of a patient, health care provider, and systems intervention on the prevalence of risk factors for lower extremity amputation in patients with non-insulin-dependent diabetes. DESIGN: Blinded, randomized, controlled trial. SETTING: Academic general medicine practice. PARTICIPANTS: Of the 395 patients with non-insulin-dependent diabetes who underwent the initial patient assessment, 352 completed the study. INTERVENTION: The 12-month intervention was multifaceted. Patients received foot-care education and entered into a behavioral contract for desired self-foot care, which was reinforced through telephone and postcard reminders. Health care providers were given practice guidelines and informational flow sheets on foot-related risk factors for amputation in diabetic patients. In addition, the folders for intervention patients had special identifiers that prompted health care providers to: 1) ask that patients remove their footwear, 2) perform foot examinations, and 3) provide foot-care education. RESULTS: Patients receiving the intervention were less likely than control patients to have serious foot lesions (baseline prevalence, 2.9%; odds ratio, 0.41 [95% CI, 0.16 to 1.00]; P = 0.05) and other dermatologic abnormalities. Also, they were more likely to report appropriate self-foot-care behaviors, to have foot examinations during office visits (68% compared with 28%; P < 0.001), and to receive foot-care education from health care providers (42% compared with 18%; P < 0.001). Physicians assigned to intervention patients were more likely than physicians assigned to control patients to examine patients' feet for ulcers, pulses, and abnormal dermatologic conditions and to refer patients to the podiatry clinic (10.6% compared with 5.0%; P = 0.04). CONCLUSIONS: An intervention designed to reduce risk factors for lower extremity amputations positively affected patient self-foot-care behavior as well as the foot care given by health care providers and reduced the prevalence of lower extremity clinical disease in patients with diabetes.

Aged↗

PubMed1993

Risks of peritoneal membrane failure in children undergoing long-term peritoneal dialysis.

Children undergoing long-term peritoneal dialysis are at risk for membrane injury, necessitating conversion to hemodialysis. We analyzed the incidence and risk factors for membrane failure (inadequate ultrafiltration with or without peritoneal adhesions and decreased peritoneal surface area) in 68 children maintained with peritoneal dialysis for more than 3 months at our institution. The overall incidence of membrane failure was 16.2% (11/68). Kaplan-Meier estimates of peritoneal membrane survival were 88% at 24 months, 72% at 36 months, 65% at 48 months, and 52% at 60 months. Logistic regression analysis demonstrated that the risk of membrane failure increased with the number of episodes of peritonitis (odds ratio 1.61). The rate of peritonitis was 1 per 7.02 patient months in children who developed membrane failure compared with 1 per 9.18 patient months in children without membrane failures but the rate of peritonitis was not predictive of membrane failure (P = 0.09). Multiple logistic regression analysis demonstrated that peritonitis caused by Pseudomonas aeruginosa or alpha streptococcal organisms were independent predictors of membrane failure. We conclude that peritoneal membrane survival declines substantially with time on peritoneal dialysis and that membrane failure is associated with peritonitis, particularly peritonitis caused by Pseudomonas aeruginosa and alpha streptococcal organisms. The mechanism(s) of membrane injury are unknown but may be related to the inflammatory response initiated during peritonitis.

Adolescent↗

PubMed1993

Impact of resident participation in a multidisciplinary diabetes team.

OBJECTIVE: To determine the impact of participation in a multidisciplinary diabetes team on pediatric residents' perceptions of team members' roles. RESEARCH DESIGN AND METHODS: Pediatric residents were assigned to a traditional diabetes clinical rotation (n = 34) or to an ambulatory multidisciplinary diabetes team within their continuity clinic (n = 21). The residents and a small sample of practicing pediatricians (n = 46) completed a Likert-type instrument at the completion of the 18-mo study. RESULTS: Multidisciplinary diabetes team residents were significantly more positive about the roles for endocrinological evaluation in monitoring compliance, for the nurse educator/certified diabetes educator in assisting with sick-day management and school behavioral problems, and for the dietician in helping with cholesterol problems. They were significantly more like practicing pediatricians in their perceptions of pediatric roles in teaching sick-day management, implementing weight reduction, assisting with conflict resolution about diabetes, screening for microvascular complications, and developing behavioral strategies for metabolic control than residents in the traditional rotation. The groups did not differ in their beliefs about patient empowerment. CONCLUSIONS: Multidisciplinary diabetes team participation may be useful in modifying specific role perceptions of pediatric residents about diabetes care. It does not appear to alter perceptions favoring greater patient empowerment.

Attitude to Health↗

PubMed1993

Visual loss and performance in blind athletes.

We examined the relationship between visual loss and athletic performance and evaluated the visual classification system used in the 1988 United States Association of Blind Athletes (USABA) Summer Games. Athletes were asked about their age, sex, training, years of participation in organized competition, age at onset of blindness and were given an ophthalmologic exam that included Snellen acuity, contrast sensitivity, and visual fields. In the speed track events, visual class,* sex, age, hours of training, and years participating were found to have a positive correlation with performance. Visual class and sex were significant predictors of performance in the intermediate distance events; visual class was the only significant predictor of performance in the long distance events. Visual class, sex, age, and hours of training were correlated with performance in the track and field (throwing) events. Weightlifting performance was influenced by age and sex. The most consistent predictor of performance in the swimming events was the number of hours training per week. Our results indicate that the current classification system for visual loss is useful for grouping athletes for competition.

Blindness↗