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Biomedical subjects

J-L Li

Publications and source records attributed to J-L Li.

9 recordsLinked to original sources
PubMed2006

A genomewide scan for quantitative trait loci underlying areal bone size variation in 451 Caucasian families.

BACKGROUND: Bone size is an important determinant of bone strength and is under strong genetic control. OBJECTIVE: To identify quantitative trait loci (QTL) for areal bone size variation, a large-scale genomewide linkage scan was carried out in 451 Caucasian families. PARTICIPANTS AND METHODS: Of 4124 people with phenotypes, 3899 were genotyped with 410 microsatellite markers. Multipoint linkage analyses were carried out in the entire sample, as well as in men and women separately. Potential epistatic interactions between identified genomic regions were also assessed. RESULTS: Several potentially important genomic regions were identified, such as 8q24 for hip bone size (logarithm of the ratio of the odds that two loci are linked (LOD) 3.27) and 2p24 (LOD 2.04) for spine bone size. 8q24 may also interact with 19p13 to affect hip bone size. Several sex-specific QTL were also detected, such as 14q21 (LOD 2.94) for wrist bone size in women and 16q12 (LOD 2.19) for hip bone size in men. CONCLUSIONS: Together with previous findings, this study has further delineated the genetic basis of bone size and laid a foundation for future studies to eventually elucidate the mechanisms of bone size regulation and associated fracture risks.

Adult↗
PubMed2006

JADE: a distributed Java application for deleterious genomic mutation (DGM) estimation.

SUMMARY: The characterization of deleterious genomic mutation (DGM) is of central significance for evolutionary biology and genetic studies. Fitness moment method has been developed to efficiently characterize DGM from natural population directly. In order to enable researchers to employ this method for theoretical and empirical research on characterizing DGM, we here present a distributed Java Application for DGM Estimation (JADE). AVAILABILITY: http://orclinux.creighton.edu/DGM/index.htm.

Biological Evolution↗
PubMed2006

Orientational order of molecular assemblies on inorganic crystals.

Surfactant micelles form oriented arrays on crystalline substrates although registration is unexpected since the template unit cell is small compared to the size of a rodlike micelle. Interaction energy calculations based on molecular simulations reveal that orientational energy differences on a molecular scale are too small to explain matters. With atomic force microscopy, we show that orientational ordering is a dynamic, multimolecule process. Treating the cooperative processes as a balance between van der Waals torque on a large, rodlike micellar assembly and Brownian motion shows that orientation is favored.

Journal Article↗
PubMed2005

PhD: a web database application for phenotype data management.

A database application has been developed for phenotype data management employing the Entity-Attribute-Value (EAV) model. By applying the EAV model, this application allows users to manage arbitrary phenotypes and customize data entry forms; therefore, it is suitable for different and multi-center projects.

Database Management Systems↗
PubMed2005

Association of methylenetetrahydrofolate reductase and thymidylate synthase promoter polymorphisms with genetic susceptibility to esophageal and cardia cancer in a Chinese high-risk population.

SUMMARY: Methylenetetrahydrofolate reductase (MTHFR) and thymidylate synthase (TS) are key enzymes in folate metabolism, which is essential for normal DNA methylation and synthesis. Common polymorphisms at the MTHFR nucleotides position 677 (C-T) and a 28-bp tandem repeat polymorphism (2R or 3R) in the TS promoter enhancer region (TSER) have been reported to be functional and are supposed to disturb the normal DNA methylation and synthesis leading to carcinogenesis. To investigate the association between these polymorphisms and the risk of esophageal squamous cell carcinoma (ESCC) and gastric cardia adenocarcinoma (GCA), we conducted a case-control study in the Anyang area where the incidence of ESCC is highest in northern China. Subjects consisted of 275 cases with ESCC, 129 cases with GCA and 310 sex- and age-matched cancer-free controls. The risk was evaluated in terms of age-sex adjusted odds ratios (ORs) and 95% confidence intervals (CIs) by unconditional logistic regression model. The ORs for the MTHFR677TT genotype compared with the MTHFR677CC/CT genotype were 1.62 (95% CI = 1.15-2.30) and 1.81 (1.17-2.81) for ESCC and GCA, respectively. The ORs for the TSER 2R/2R genotype relative to the other genotypes were 2.44 (0.89-6.73) and 3.94 (1.29-12.0) for SCC and GCA, respectively. These findings indicated that the folate metabolism plays an important role in carcinogenesis of ESCC and GCA and the common functionally polymorphisms MTHFRC677T and TSER have substantial influence in this metabolic pathway.

Adenocarcinoma↗
PubMed2004

A second-stage genome scan for QTLs influencing BMD variation.

Low bone mineral density (BMD) is a major risk factor for osteoporotic fracture. To identify genomic regions harboring quantitative trait loci (QTLs) contributing to BMD variation, we performed a two-stage genome screen. The first stage involved genotyping of a sample of 53 pedigrees with 630 individuals using 400 microsatellite markers spaced at approximately 10-cM intervals throughout the genome. Ten genomic regions with multi- and/or two-point LOD scores greater than 1.5 were observed. In the present second-stage study, 60 microsatellite markers, with a mean spacing of about 5 cM, were genotyped in these regions in an expanded sample of 79 pedigrees that contained 1816 subjects. Each pedigree was ascertained through a proband with extreme BMD at the hip or spine. BMD at the spine (L1-4), hip (the femoral neck, trochanter, and intertrochanteric region), and wrist (the ultradistal region) was measured by dual-energy X-ray absorptiometry (DXA) and was adjusted for age, sex, height, and weight. Two-point and multipoint linkage analyses were performed for each BMD site using statistical genetic methods that are implemented in the computer package SOLAR. Several regions (7q11, 10q26, 12q13, and 12q24) achieved LOD scores in excess of 1 in the second-stage followup study. The current results replicate some of our previous linkage findings and also highlight some of the difficulties facing microsatellite linkage mapping for complex human diseases.

Absorptiometry, Photon↗
PubMed2004

A genome-wide linkage scan for bone mineral density in an extended sample: evidence for linkage on 11q23 and Xq27.

BACKGROUND: Osteoporosis is a major public health problem, mainly quantified by low bone mineral density (BMD). The majority of BMD variation is determined by genetic effects. A pilot whole genome linkage scan (WGS) was previously reported in 53 white pedigrees with 630 subjects. Several genomic regions were suggested to be linked to BMD variation. OBJECTIVE: To substantiate these previous findings and detect new genomic regions. METHODS: A WGS was conducted on an extended sample where the size was almost tripled (1816 subjects from 79 pedigrees). All the subjects were genotyped with 451 microsatellite markers spaced approximately 8.1 cM apart across the human genome. Two point and multipoint linkage analyses were carried out using the variance component method. RESULTS: The strongest linkage signal was obtained on Xq27 with two point LOD scores of 4.30 for wrist BMD, and 2.57 for hip BMD, respectively. Another important region was 11q23, which achieved a maximum LOD score of 3.13 for spine BMD in multipoint analyses, confirming the results on this region in two earlier independent studies. Suggestive linkage evidence was also found on 7p14 and 20p12. CONCLUSIONS: Together with the findings from other studies, the current study has further delineated the genetic basis of bone mass and highlights the importance of increasing sample size to confirm linkage findings and to identify new regions of linkage.

Bone Density↗