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Biomedical subjects

H-W Deng

Publications and source records attributed to H-W Deng.

At least 19 recordsLinked to original sources
PubMed2006

Correlation of transmenopausal bone mass in healthy white women: a long-term longitudinal study.

INTRODUCTION: It is well established that menopause is associated with accelerated bone loss. However, no study has tested whether bone mass after the menopause transition is correlated with the premenopausal bone mass; that is, whether a high premenopausal bone mass will be predicatively high after menopause in an individual. MATERIALS AND METHODS: We examined the association of transmenopausal bone mass in 54 healthy premenopausal white women age 46 years or older at the initiation. These subjects experienced normal menopause and stayed in the study at least 1 year after their last menses without hormone replacement therapy. Bone mass of the lumbar spine (L2-L4) and total body were measured semiannually for 9.5 years. RESULTS AND DISCUSSION: In the 6-year period for which the data were analyzed, we found statistically significant correlations (p<0.05) over the 5.5-year and 5-year periods around menopause for pairwise transmenopausal lumbar spine Z-score and total body bone mineral content, respectively. The correlation declined with increase of the time interval across menopause. We conclude that for a limited time interval, bone mass after menopause is correlated with that before menopause.

Aging↗
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

Genetic and environmental correlations of bone mineral density at different skeletal sites in females and males.

Bone mineral density (BMD) is a complex trait having genetic and environmental determination. There are gender-specific differences in BMD measurements, and the rate of BMD changes with age and lifestyle. Previous studies have shown that the genetic loci underlying BMD variation are gender-specific in mice and humans. Our study aimed to investigate correlations between BMD at the spine, hip, and ultradistal radius (UD) and degree of shared genetic and environmental factors among them in females and males, separately. For a large sample of 4,489 subjects containing 2,667 females and 1,822 males from 512 Caucasian pedigrees, we performed bivariate variance decomposition analyses. Our results showed that the genetic correlations (rhoG), environmental correlations (rhoE), and phenotypical correlations (rhoP) were all significant and positive. Strong genetic correlations were observed in both female and male groups, ranging 0.590-0.738 and 0.583-0.773, respectively. Genetic correlations of BMD at the spine, hip, and UD were generally higher than environmental correlations. In summary, we are the first to test the genetic and environmental correlations in females and males, separately. It is suggested that the phenotypic correlations of BMDs at the three different sites may have more genetic than environmental components. BMDs at the spine and hip may share more environmental components in females than males. We did not detect gender-specific difference in spine/UD and hip/UD. It is also indicated that the environmental factors that preserve or increase BMD at one skeletal site may have similar beneficial effects on some other skeletal sites and vice versa.

Absorptiometry, Photon↗
PubMed2006

Genetic and environmental correlations between obesity phenotypes and age at menarche.

OBJECTIVE: To assess the extent that the genetic and environmental factors contribute to the phenotypic correlations between obesity traits and age at menarche (AAM), and also to examine the influence of AAM on obesity in both pre- and postmenopausal women. METHODS: F ive hundred and twelve pedigrees with 2667 Caucasian female subjects from two to four generations were recruited. Fat mass and lean mass (both in kg) were measured by dual-energy X-ray absorptiometry scanner. Body mass index (BMI) (kg/m(2)) was calculated. We performed bivariate quantitative genetic analyses in the total sample containing 2667 Caucasian women. We also selected 206 unrelated premenopausal women and 140 unrelated postmenopausal women from the total sample, and computed the respective phenotypic correlation between obesity and AAM in these two subgroups. RESULTS: For fat mass, lean mass and BMI, we detected their significant negative genetic correlations with AAM after adjustment for significant covariates, which were -0.3170 (P<0.001), -0.1721 (P<0.05) and -0.3665 (P<0.001), respectively. However, their environmental correlations with AAM were all nonsignificant (P>0.05), ranging from -0.0016 to 0.0192. In the premenopausal subgroup, significant associations were observed between fat mass and AAM (rho=-0.231, P<0.01) as well as between BMI and AAM (rho=-0.257, P<0.01). In the postmenopausal subgroup, no such associations were observed. CONCLUSION: Our results for the first time suggested that significant phenotypic association between obesity phenotypes and AAM is mainly attributable to shared genetic rather than environmental factors, and AAM may have stronger effects on obesity phenotypes in pre- than in postmenopausal women.

Adipose Tissue↗
PubMed2006

Relationship of total body fatness and five anthropometric indices in Chinese aged 20-40 years: different effects of age and gender.

OBJECTIVES: We aim to evaluate the ethnic-specific relationship of total fat mass and anthropometric indices in Chinese. DESIGN: Cross-section study. SETTING: This study was performed at the College of Life Sciences, Hunan Normal University, P.R. China. SUBJECTS AND METHOD: To increase our understanding of the relationship of total fat mass and anthropometric indices in Chinese, 793 females and 1091 males aged 20-40 years were randomly recruited from Changsha city of P. R. China. Hip circumference (HC) and waist circumference (WC) were measured using standardized equipments, and other three anthropometric indices of body mass index (BMI), waist-to-hip ratio (WHR), and conicity index (CI) were calculated using weight, height, HC and WC. Total body fatness (TBF) in kg was measured using a Hologic QDR 4500 W dual-energy X-ray absorptiometry (DEXA) scanner. RESULTS: There was an increasing trend of TBF, %TBF (percent total body fatness) and the five anthropometric indices in successively older age groups. Compared with females, males generally had high average BMI, WC, HC, WHR and CI, but had low average TBF and %TBF. Except for some correlations in 25-29 years age groups, TBF and %TBF were significantly correlated with five anthropometric indices with the Pearson's correlation coefficients ranging from 0.07 to 0.87. Principal component analysis (PCA) was performed to form four principal components (PCs) that interpreted over 99% of the total variation of the five related anthropometric indices in all age groups, with over 53% of the total variation accounted for by the PC1. Multiple regression analyses showed that four PCs combined explained a greater variance (R (2)=55.2-80.8%) in TBF than did BMI alone (R (2)=40-74.9%). CONCLUSION: Our results suggest that there is an increasing trend of total fat mass and five anthropometric indices with aging; that age and sex have the important effects on influencing the correlations of TBF and the studied anthropometric indices; and that the accuracy of predicting the TBF using five anthropometric indices is higher than using BMI alone.

Absorptiometry, Photon↗
PubMed2005

Genetic and environmental correlations between age at menarche and bone mineral density at different skeletal sites.

Low bone mineral density (BMD) is an important risk factor for osteoporotic fractures. Though previous studies have demonstrated that age at menarche (AAM) is phenotypically associated with BMD, the contributions of genetic and environmental factors to this association remain unknown. In this study, using variance decomposition analyses, we provided an accurate estimation of the genetic and environmental correlations between AAM and BMD in 2,667 Caucasian women from 512 pedigrees. After adjustment for significant covariates, we detected significant genetic correlations between AAM and BMD at the lumbar spine, femoral neck, and ultradistal radius (rho(G) = -0.1316, -0.1417, and -0.1137, respectively; all P < 0.01). However, all environmental correlations between AAM and BMD were nonsignificant (P > 0.05). We also generated a principal component factor for BMD (PC_BMD) and evaluated the relationship between this factor and AAM. The genetic and environmental correlations between PC_BMD and AAM (rho(P) = -0.0847, P < 0.001; rho(G) = -0.1737, P < 0.01; rho(E) = -0.0348, P > 0.05) were consistent with the results of BMD at the three skeletal sites and AAM. Our results confirmed the significant phenotypic association between BMD and AAM and for the first time suggested that this association is mainly attributable to shared genetic, rather than environmental, factors.

Absorptiometry, Photon↗
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

The development of atypical haemolytic-uraemic syndrome is influenced by susceptibility factors in factor H and membrane cofactor protein: evidence from two independent cohorts.

BACKGROUND: In both familial and sporadic atypical haemolytic-uraemic syndrome (aHUS), mutations have been reported in regulators of the alternative complement pathway including factor H (CFH), membrane cofactor protein (MCP), and the serine protease factor I (IF). A characteristic feature of both MCP and CFH associated HUS is reduced penetrance and variable inheritance; one possible explanation for this is that functional changes in complement proteins act as modifiers. OBJECTIVE: To examine single nucleotide polymorphisms in both CFH and MCP genes in two large cohorts of HUS patients (Newcastle and Paris). RESULTS: In both cohorts there was an association with HUS for both CFH and MCP alleles. CFH and MCP haplotypes were also significantly different in HUS patients compared with controls. CONCLUSIONS: This study suggests that there are naturally occurring susceptibility factors in CFH and MCP for the development of atypical HUS.

Alleles↗
PubMed2005

Estimation of the rate and effects of deleterious genomic mutations in finite populations with linkage disequilibrium.

Under several assumptions such as infinite population size with unlinked loci at linkage equilibrium (LD) under mutation-selection (M-S) balance, the rate (U), and the average effects (dominance and selection coefficients h and s) of deleterious genomic mutations (DGM) can be estimated by the Deng-Lynch method in some natural populations. However, all natural populations are finite in size and many of them are not large enough to be considered as approximately infinite. In the absence of an analytical estimation approach to characterize DGM in finite populations, we test the robustness and applicability of the Deng-Lynch method in finite populations with computer simulations. The results indicate that the estimation obtained by the Deng-Lynch method in finite populations with LD is generally robust when population size is greater than 400. With constant mutation effects, in outcrossing populations, the estimates U and ĥ are unbiased or only slightly upwardly biased, and ŝ is unbiased for most cases. In highly selfing populations, U and ĥ are upwardly biased, U is no more than 1.5U and ĥ is less than 1.1 h, and ŝ is either unbiased or slightly downwardly biased. With variable mutation effects, U ranges from 0.56 to 0.72U, and s ranges from 1.4 to 1.8s. Generally speaking, with the same finite population size, the estimation in outcrossing populations is better than in highly selfing populations. Given that even the order of the magnitude of the parameters of DMG (U in particular) is controversial, our investigation here may provide a basis for using the Deng-Lynch method to characterize DGM in finite populations of size greater than 400 in the presence of LD.

Genetics, Population↗
PubMed2005

Meta-analysis of five genome-wide linkage studies for body mass index reveals significant evidence for linkage to chromosome 8p.

OBJECTIVE: To perform a meta-analysis of genome-wide linkage scans using body mass index (BMI) to identify genetic loci predisposing to obesity. DATA: A total of 13 published genome scans on obesity have used BMI as their primary end point. Five of these 13 groups agreed to provide detailed results from their scans that were required for a meta-analysis. Collectively, these five studies included a total of 2814 individuals from 505 families. METHODS: The results of the five studies were analysed using the GSMA (genome scans meta-analysis) method. RESULTS: The analysis revealed significant evidence for linkage of the quantitative phenotype BMI to 8p (P<0.0005).

Adult↗
PubMed2005

Clinical and genetic study on a new Chinese family with benign familial infantile seizures.

Three loci for benign familial infantile seizures (BFIS, traditionally named benign familial infantile convulsions) have been mapped to the chromosome regions of 19q12-13.1, 2q24, and 16p12-q12. We characterized the clinical features of a newly discovered Chinese family with BFIS and investigated whether it is linked to these loci. A four-generation Chinese family was investigated and nineteen family members were examined. Fourteen microsatellite markers covering the three BFIS loci on the chromosome regions of 19q12-13.1, 2q24, and 16p12-q12 were genotyped. Linkage analysis was performed. The main clinical features of our patients include onset of afebrile seizures between 3 and 10 months, normal psychomotor development, normal interictal electroencephalogram (EEG), and autosomal dominant inheritance. Magnetic resonance imaging (MRI) changes were found in the proband. Two-point LOD scores are < -2.0 at the recombination rate of 0.0 for all the markers on the 2q24 region. Multipoint LOD scores are < -3.0 for the regions of 19q12-13.1 and 16p12-q12. Linkage analysis showed no evidence that the disease gene of this BFIS family is linked to the chromosome regions previously identified as the critical regions of the disease. Another chromosome region harboring the disease gene may exist in the new Chinese family.

Adult↗
PubMed2005

Vitamin D receptor gene polymorphisms are linked to and associated with adult height.

BACKGROUND: The vitamin D receptor (VDR) gene is important to human stature, as it mediates metabolic pathways, calcium homeostasis, and phosphate homeostasis, which influence growth. METHODS: We examined the relationship between VDR and adult height in 1873 white subjects from 406 nuclear families. Four SNPs, namely -4817A/G at intron 1, FokI C/T at exon 2 start codon, BsmI A/G at intron 8, and TaqI T/C at exon 9 in VDR were tested for linkage and association with adult height variation by the program QTDT (quantitative transmission disequilibrium test). The bT haplotype of the BsmI and TaqI loci was further tested for its association with height in unrelated samples randomly chosen from the 406 nuclear families by traditional population association methods. RESULTS: All four tested SNPs were linked to adult height. Within family associations with height were detected at BsmI and TaqI loci (p = 0.048 and 0.039, respectively). Analyses based on BsmI/TaqI haplotypes also revealed evidence for linkage (p = 0.05) and association (p = 0.001) with height. The bT haplotype was significantly associated with higher adult height (p = 0.033, within family association test). Such an association might be female specific and influenced by menstrual status. CONCLUSIONS: Our results strongly suggest that VDR may be linked to and associated with adult height variation in white populations.

Adult↗
PubMed2005

A survey of haplotype variants at several disease candidate genes: the importance of rare variants for complex diseases.

BACKGROUND: The haplotype based association method offers a powerful approach to complex disease gene mapping. In this method, a few common haplotypes that account for the vast majority of chromosomes in the populations are usually examined for association with disease phenotypes. This brings us to a critical question of whether rare haplotypes play an important role in influencing disease susceptibility and thus should not be ignored in the design and execution of association studies. METHODS: To address this question we surveyed, in a large sample of 1873 white subjects, six candidate genes for osteoporosis (a common late onset bone disorder), which had 29 SNPs, an average marker density of 13 kb, and covered a total of 377 kb of the DNA sequence. RESULTS: Our empirical data demonstrated that two rare haplotypes of the parathyroid hormone (PTH)/PTH related peptide receptor type 1 and vitamin D receptor genes (PTHR1 and VDR) with frequencies of 1.1% and 2.9%, respectively, had significant effects on osteoporosis phenotypes (p = 4.2 x 10(-6) and p = 1.6 x 10(-4), respectively). Large phenotypic differences (4.0 approximately 5.0%) were observed between carriers of these rare haplotypes and non-carriers. Carriers of the two rare haplotypes showed quantitatively continuous variation in the population and were derived from a wide spectrum rather than from one extreme tail of the population phenotype distribution. CONCLUSIONS: These findings indicate that rare haplotypes/variants are important for disease susceptibility and cannot be ignored in genetics studies of complex diseases. The study has profound implications for association studies and applications of the HapMap project.

Apolipoproteins E↗
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

Common variants at the PCOL2 and Sp1 binding sites of the COL1A1 gene and their interactive effect influence bone mineral density in Caucasians.

BACKGROUND: Osteoporosis, mainly characterised by low bone mineral density (BMD), is a serious public health problem. The collagen type I alpha 1 (COL1A1) gene is a prominent candidate gene for osteoporosis. Here, we examined whether genetic variants at the COL1A1 gene can influence BMD variation. METHODS: BMD was measured at nine skeletal sites in 313 Caucasian males and 308 Caucasian females. We screened four single nucleotide polymorphisms (SNPs) at the COL1A1 gene: PCOL2 (-1997 G/T) in the promoter, Sp1 (1546 G/T) in the intron 1, Gly19Cys (3911 G/A) in exon 8, and Ala897Thr (13 773 G/A) in exon 45. Univariate and multivariate association approaches were used in the analyses. RESULTS: In multivariate analyses, we found a strong association between the PCOL2 SNP and BMD (p = 0.007 to 0.024) and a suggestive association between the Sp1 SNP and BMD (p = 0.023 to 0.048) in elderly Caucasian females. Interestingly, the interaction of these two SNPs was highly significantly associated with BMD variation (p = 0.001 to 0.003). The haplotype GG at the two SNPs had, on average, 2.7% higher BMD than non-carriers (p = 0.006 to 0.026). CONCLUSIONS: Our data suggested that the common genetic variants at the PCOL2 and Sp1 sites, and importantly, their interactive effects, may contribute to BMD variation in elderly Caucasian females. Further studies are necessary to delineate the mechanisms underlying the effects of these common variants on BMD variation and to test their clinical relevance for general populations. In addition, our study highlighted the importance of multivariate analyses when multiple correlated phenotypes are under study.

Binding Sites↗
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↗