Biomedical subjects

C D Langefeld

Publications and source records attributed to C D Langefeld.

At least 19 recordsLinked to original sources

PubMed2001

Genetic linkage and transmission disequilibrium of marker haplotypes at chromosome 1q41 in human systemic lupus erythematosus.

Systemic lupus erythematosus (SLE) is a chronic autoimmune disease characterized by the production of autoantibodies to a wide range of self-antigens. Recent genome screens have implicated numerous chromosomal regions as potential SLE susceptibility loci. Among these, the 1q41 locus is of particular interest, because evidence for linkage has been found in several independent SLE family collections. Additionally, the 1q41 locus appears to be syntenic with a susceptibility interval identified in the NZM2410 mouse model for SLE. Here, we report the results of genotyping of 11 microsatellite markers within the 1q41 region in 210 SLE sibpair and 122 SLE trio families. These data confirm the modest evidence for linkage at 1q41 in our family collection (LOD = 1.21 at marker D1S2616). Evidence for significant linkage disequilibrium in this interval was also found. Multiple markers in the region exhibit transmission disequilibrium, with the peak single marker multiallelic linkage disequilibrium noted at D1S490 (pedigree disequilibrium test [PDT] global P value = 0.0091). Two- and three-marker haplotypes from the 1q41 region similarly showed strong transmission distortion in the collection of 332 SLE families. The finding of linkage together with significant transmission disequilibrium provides strong evidence for a susceptibility locus at 1q41 in human SLE.

Chromosomes, Human, Pair 1↗

PubMed2001

Genomewide screen and identification of gene-gene interactions for asthma-susceptibility loci in three U.S. populations: collaborative study on the genetics of asthma.

The genomewide screen to search for asthma-susceptibility loci, in the Collaborative Study on the Genetics of Asthma (CSGA), has been conducted in two stages and includes 266 families (199 nuclear and 67 extended pedigrees) from three U.S. populations: African American, European American, and Hispanic. Evidence for linkage with the asthma phenotype was observed for multiple chromosomal regions, through use of several analytical approaches that facilitated the identification of multiple disease loci. Ethnicity-specific analyses, which allowed for different frequencies of asthma-susceptibility genes in each ethnic population, provided the strongest evidence for linkage at 6p21 in the European American population, at 11q21 in the African American population, and at 1p32 in the Hispanic population. Both the conditional analysis and the affected-sib-pair two-locus analysis provided further evidence for linkage, at 5q31, 8p23, 12q22, and 15q13. Several of these regions have been observed in other genomewide screens and linkage or association studies, for asthma and related phenotypes. These results were used to develop a conceptual model to delineate asthma-susceptibility loci and their genetic interactions, which provides a promising basis for initiation of fine-mapping studies and, ultimately, for gene identification.

Adolescent↗

PubMed2001

Nonparametric linkage regression. II: Identification of influential pedigrees in tests for linkage.

We applied case-deletion-based diagnostics to the combined Caucasian genome scan data for asthma and IgE from the Collaborative Study on the Genetics of Asthma (CSGA) and German family studies in order to identify influential pedigrees in tests for linkage. These methods identified 12 pedigrees whose data appear not to fit the asthma linkage model and for whom alternative genetic and nongenetic explanations can be explored. The methods also identified four pedigrees for chromosome 1 and two pedigrees for chromosome 2 that provide strong evidence for linkage at their respective loci. Similarly, these methods helped identify four pedigrees that strongly influenced the linkage tests for IgE. From these data, we can construct an enriched subset of pedigrees to be used in further analysis for mapping region-specific putative trait predisposing loci.

Adult↗

PubMed2001

Nonparametric linkage regression. I: Combined Caucasian CSGA and German genome scans for asthma.

In this paper we applied the nonparametric linkage (NPL) regression approach to the combined Caucasian genome scan data from the Collaborative Study on the Genetics of Asthma (CSGA) and German family studies to search for regions of the genome that exhibit evidence for linkage to putative asthma-predisposing genes. The multipoint single-locus model identified three regions of the genome with LOD scores of approximately two or greater. These regions were on 6p near D6S291 (LOD = 2.78), 2p near D2S2298 (LOD = 2.11), and 1p near D1S1597 (LOD = 1.92). Modeling multiple loci together and testing for interactions among loci yielded stronger evidence for linkage in these regions. We observed a potential epistatic interaction between 2p and 14p (p = 0.0003) and conditional LOD scores of 2.75 on 1p, 3.89 on 6p, 1.64 on 7p, and 1.64 on 15q.

Adult↗

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↗