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Hong-Wen Deng

Publications and source records attributed to Hong-Wen Deng.

At least 37 records · Page 2Linked to original sources
PubMed2006

CA repeat polymorphism of the TNFR2 gene is not associated with bone mineral density in two independent Caucasian populations.

Osteoporosis has a strong genetic component, but the genes involved are poorly defined. Genome-wide scans in multiple populations have identified chromosome 1p36 as one region linked to bone mineral density (BMD). The tumor necrosis factor receptor 2 (TNFR2) at 1p36 is a positional and functional candidate gene in osteoporosis. In this study, we conducted linkage and association tests between the CA repeat polymorphism of the TNFR2 gene and BMD in two large independent samples using the quantitative transmission disequilibrium test (QTDT) program. The first group of subjects was composed of 1836 individuals from 79 multigeneration pedigrees. The second group was a randomly ascertained set of 636 individuals from 157 nuclear families. We found no evidence of association or linkage for spine or hip BMD in the samples of the multigenerational pedigrees or nuclear families. Through testing for association and for linkage, our data do not support the TNFR2 gene as a QTL underlying hip or spine BMD variation in our Caucasian populations.

Adult↗
PubMed2006

Linkage exclusion mapping with bone size in 79 Caucasian pedigrees.

Bone size is an important risk factor of osteoporotic fractures and has strong genetic determination. However, genetic studies on bone size variation are relatively rare. In the present study, we conducted a linkage exclusion mapping for bone size variation on chromosomes 1, 4, 6, and 17 in 79 Caucasian pedigrees. For hip bone size variation, several genomic regions were excluded at effect sizes of 10% or greater, including regions of 61-77cM at 1p35-p34, 43-59cM at 4p15-p13, 1-59cM at 6p25-p21, 82-88cM at 17q23-q24, and 113-114cM at 17q25. For spine bone size, at effect sizes of 10% or greater, we excluded regions of 115-122cM at 1p31-p22, 136-141cM at 1p21, 207-260cM at 1q31-q42, 20-89cM at 4p16-q21, 11-21cM at 6p24-p23, and 1-6cM at 17p13. These results suggested that a number of candidate genes located in the excluded regions, such as the growth hormone (GH) gene, tumor necrosis factor-alpha (TNF-alpha) gene, and bone morphogenetic protein-3 (BMP3) gene, are unlikely to have a substantial effect on bone size variation in this Caucasian population.

Adult↗
PubMed2006

Linkage and association between CA repeat polymorphism of the TNFR2 gene and obesity phenotypes in two independent Caucasian populations.

Previously, our group has reported a suggestive linkage evidence of 1p36 with body mass index (BMI) (LOD = 2.09). The tumor necrosis factor receptor 2 (TNFR2) at 1p36 is an excellent positional and functional candidate gene for obesity. In this study, we have investigated the linkage and association between the TNFR2 gene and obesity phenotypes in two large independent samples, using the quantitative transmission disequilibrium tests (QTDT). The first group was made up of 1,836 individuals from 79 multi-generation pedigrees. The second group was a randomly ascertained set of 636 individuals from 157 US Caucasian nuclear families. Obesity phenotypes tested include BMI, fat mass, and percentage fat mass (PFM). A significant result (P = 0.0056) was observed for linkage with BMI in the sample of the multigenerational pedigrees. Our data support the TNFR2 gene as a quantitative trait locus (QTL) underlying BMI variation in the Caucasian populations.

Adult↗
PubMed2006

The human calcium-sensing receptor and interleukin-6 genes are associated with bone mineral density in Chinese.

Calcium sensing receptor (CASR) is a central factor involved in calcium metabolism. Interleukin-6 (IL-6) is a pleiotropic cytokine that plays an important role in osteoclast differentiation. Thus, both CASR and IL-6 are important in bone and mineral metabolism and are prominent candidate genes for osteoporosis. The study aimed to test association and/or linkage between the CASR and IL-6 genes with bone mineral density (BMD) variation in a Chinese population. A cytosine-adenine (CA)n repeat polymorphism in the CASR gene and the IL-6 gene was genotyped, respectively, in 1,263 subjects from 402 Chinese nuclear families. Employing tests implemented in the program QTDT (quantitative transmission disequilibrium tests), a significant total association of the CASR (CA)12 allele (P = 0.006) and (CA)18 allele (P = 0.02) with BMD at the femoral neck was found. For the IL-6 gene, significant within-family associations were found between the (CA)14 allele and BMD at the total hip (P = 0.021), the femoral neck (P = 0.041), and the intertrochanteric region (P = 0.029). A significant linkage was also observed between IL-6 CA repeat polymorphism and BMD at the spine (P = 0.001). The results suggest that the CASR gene and the IL-6 gene may have effects on BMD variation in Chinese.

Adult↗
PubMed2006

Correlation and prediction of trunk fat mass with four anthropometric indices in Chinese males.

To increase our understanding of the relationships of trunk fat mass (FMtrunk) and four anthropometric indices in Chinese males, 1090 males aged 20-40 years were randomly recruited from the city of Changsha, China. Waist circumference (WC) and hip circumference (HC) were measured using standardized equipment, and three other anthropometric indices of BMI, waist:hip ratio (WHR) and conicity index (CoI) were calculated using weight, height, HC and WC. FMtrunk (in kg) was measured using a Hologic QDR 4500 W dual-energy X-ray absorptiometry scanner. There was an increasing trend of FMtrunk, %FMtrunk (percentage of FMtrunk) and BMI, WC, WHR, CoI in successively older age groups (e.g. the mean FMtrunk values were 4.63 (SD 2.58), 5.39 (SD 2.74), 5.93 (SD 2.82), 6.57 (SD 2.94) in four 5-year age groups, respectively). FMtrunk and %FMtrunk were significantly correlated with four anthropometric indices with the Pearson's correlation coefficients ranging from 0.25 to 0.86. Principal component analysis was performed to form three principal components that interpreted over 99.5% of the total variation of four related anthropometric indices in all age groups, with over 65% of the total variation accounted by principal component 1. Multiple regression analyses showed that three principal components explained a greater variance (R(2) 70.0-80.1%) in FMtrunk than did BMI or WC alone (R(2) 57.8-74.1%). The present results suggest that there is an increasing trend of FMtrunk and four anthropometric indices in successively older age groups; that age has important effects on the relationships of FMtrunk and studied anthropometric indices; and that the accuracy of predicting FMtrunk using four anthropometric indices is higher than using BMI or WC alone.

Adipose Tissue↗
PubMed2006

Upper limit of the rate and per generation effects of deleterious genomic mutations.

Unbiased or upper limit estimates of the rate (U) of genomic mutations to mildly deleterious alleles are crucial in genetic and conservation studies and in human health care. However, only a few estimates of the lower bounds of U are available. We present a fairly robust estimation that yields an upper limit of U and a nearly unbiased estimate of the per generation fitness decline due to new deleterious mutations. We applied the approach to three species of the freshwater microcrustacean Daphnia and revealed that the upper limit of U for egg survivorship is 0.73 (SD = 0.30) in 14 D. pulicaria populations. For the first four clutches, per generation decline in fecundity due to deleterious mutations ranged from 2.2% to 7.8% in 20 D. pulex populations and from 1.1% to 5.1% in 8 D. obtusa populations. These results indicate the mutation pressure is high in natural Daphnia populations. The approach investigated here provides a potential way to quickly and conveniently characterize U and per generation effects of deleterious genomic mutations on fitness or its important components such as fecundity.

Animals↗
PubMed2006

Polymorphisms of the vitamin D receptor gene predict the onset of surgical menopause in Caucasian females.

We tested association of four single nucleotide polymorphisms (SNPs) of the vitamin D receptor gene (VDR) with age at surgical and natural menopause in a sample of Caucasians composed of 153 women with surgical and 260 with natural menopause. A significant association was observed between age at surgical menopause and two SNPs, rs1544410 (BsmI) and rs731236 (TaqI) (p < 0.05). For rs1544410, homozygotes of the minor allele, AA, had about two-fold higher risk of surgical menopause than homozygotes of the major allele, GG (95% confidence ratio (CI) 1.09-3.82). For rs731236, the CC subjects had a greater chance of surgical menopause than the TT subjects (odds ratio = 2.01, 95% CI 1.07-3.78). Since rs1544410 and rs731236 are in strong linkage disequilibrium, the haplotypes based on these two loci were also tested. The haplotype AC was highly significantly associated with age at surgical menopause (p = 0.008). Women with this haplotype had surgical menopause on average 2.8 years earlier than non-carriers. These results reveal the potential effect of the VDR gene on ovaries and uterus, and suggest that its SNPs can be used as predictors of genetic susceptibility for early surgical menopause and respective causal health problems.

Age of Onset↗
PubMed2006

Molecular genetic studies of gene identification for osteoporosis: a 2004 update.

This review summarizes comprehensively the most important and representative molecular genetics studies of gene identification for osteoporosis published up to the end of December 2004. It is intended to constitute a sequential update of our previously published review covering the available data up to the end of 2002. Evidence from candidate gene association studies and genome-wide linkage studies in humans, as well as quantitative trait locus mapping animal models are reviewed separately. Studies of transgenic and knockout mice models relevant to osteoporosis are summarized. An important extension of this update is incorporation of functional genomic studies (including DNA microarrays and proteomics) on osteogenesis and osteoporosis, in light of the rapid advances and the promising prospects of the field. Comments are made on the most notable findings and representative studies for their potential influence and implications on our present understanding of genetics of osteoporosis. The format adopted by this review should be ideal for accommodating future new advances and studies.

Animals↗
PubMed2006

Genomic regions identified for BMD in a large sample including epistatic interactions and gender-specific effects.

UNLABELLED: A genome-wide linkage scan was conducted using a large white sample to identify QTLs for BMD. We found QTLs in the total sample and the gender-specific subgroups, as well as significant epistatic interactions underlying BMD variations. INTRODUCTION: Low BMD is an important risk factor for osteoporosis and under strong genetic control. MATERIALS AND METHODS: To identify quantitative trait loci (QTLs) for regulation of BMD, we performed a large-scale whole genome linkage scan (WGS) involving 4126 individuals from 451 families. In addition to the conventional linkage analyses in the total combined sample of males and females, we conducted epistatic interaction analyses and gender-specific linkage analyses. RESULTS: Significant linkage was detected on 5q23 for wrist BMD (LOD = 3.39) and 15q13 for female spine BMD (LOD = 4.49). For spine BMD, we revealed significant epistatic interactions between 3p25 and 2q32 (p = 0.0022) and between 3p25 and 11q23 (p = 0.0007). We replicated several genomic regions that showed linkage with BMD in previous studies by others and ours, such as 3p21, 1p36, and Xq27. CONCLUSIONS: This study highlights the importance of large sample size, incorporation of epistatic interaction, and consideration of gender-specific effects in identifying QTLs for BMD variation. The results of this study provide a foundation for the future fine mapping and gene identification in our population.

Bone Density↗
PubMed2006

Robust and comprehensive analysis of 20 osteoporosis candidate genes by very high-density single-nucleotide polymorphism screen among 405 white nuclear families identified significant association and gene-gene interaction.

UNLABELLED: Many "novel" osteoporosis candidate genes have been proposed in recent years. To advance our knowledge of their roles in osteoporosis, we screened 20 such genes using a set of high-density SNPs in a large family-based study. Our efforts led to the prioritization of those osteoporosis genes and the detection of gene-gene interactions. INTRODUCTION: We performed large-scale family-based association analyses of 20 novel osteoporosis candidate genes using 277 single nucleotide polymorphisms (SNPs) for the quantitative trait BMD variation and the qualitative trait osteoporosis (OP) at three clinically important skeletal sites: spine, hip, and ultradistal radius (UD). MATERIALS AND METHODS: One thousand eight hundred seventy-three subjects from 405 white nuclear families were genotyped and analyzed with an average density of one SNP per 4 kb across the 20 genes. We conducted association analyses by SNP- and haplotype-based family-based association test (FBAT) and performed gene-gene interaction analyses using multianalytic approaches such as multifactor-dimensionality reduction (MDR) and conditional logistic regression. RESULTS AND CONCLUSIONS: We detected four genes (DBP, LRP5, CYP17, and RANK) that showed highly suggestive associations (10,000-permutation derived empirical global p < or = 0.01) with spine BMD/OP; four genes (CYP19, RANK, RANKL, and CYP17) highly suggestive for hip BMD/OP; and four genes (CYP19, BMP2, RANK, and TNFR2) highly suggestive for UD BMD/OP. The associations between BMP2 with UD BMD and those between RANK with OP at the spine, hip, and UD also met the experiment-wide stringent criterion (empirical global p < or = 0.0007). Sex-stratified analyses further showed that some of the significant associations in the total sample were driven by either male or female subjects. In addition, we identified and validated a two-locus gene-gene interaction model involving GCR and ESR2, for which prior biological evidence exists. Our results suggested the prioritization of osteoporosis candidate genes from among the many proposed in recent years and revealed the significant gene-gene interaction effects influencing osteoporosis risk.

Adult↗
PubMed2005

Genome-wide scan identified QTLs underlying femoral neck cross-sectional geometry that are novel studied risk factors of osteoporosis.

UNLABELLED: A genome-wide screen was conducted using a large white sample to identify QTLs for FNCS geometry. We found significant linkage of FNCS parameters to 20q12 and Xq25, plus significant epistatic interactions and sex-specific QTLs influencing FNCS geometry variation. INTRODUCTION: Bone geometry, a highly heritable trait, is a critical component of bone strength that significantly determines osteoporotic fracture risk. Specifically, femoral neck cross-sectional (FNCS) geometry is significantly associated with hip fracture risk as well as genetic factors. However, genetic research in this respect is still in its infancy. MATERIALS AND METHODS: To identify the underlying genomic regions influencing FNCS variables, we performed a remarkably large-scale whole genome linkage scan involving 3998 individuals from 434 pedigrees for four FNCS geometry parameters, namely buckling ratio (BR), cross-sectional area (CSA), cortical thickness (CT), and section modulus (Z). The major statistical approach adopted is the variance component method implemented in SOLAR. RESULTS: Significant linkage evidence (threshold LOD = 3.72 after correction for tests of multiple phenotypes) was found in the regions of 20q12 and Xq25 for CT (LOD = 4.28 and 3.90, respectively). We also identified eight suggestive linkage signals (threshold LOD = 2.31 after correction for multiple tests) for the respective geometry traits. The above findings were supported by principal component linkage analysis. Of them, 20q12 was of particular interest because it was linked to multiple FNCS geometry traits and significantly interacted with five other genomic loci to influence CSA variation. The effects of 20q12 on FNCS geometry were present in both male and female subgroups. Subgroup analysis also revealed the presence of sex-specific quantitative trait loci (QTLs) for FNCS traits in the regions such as 2p14, 3q26, 7q21 and 15q21. CONCLUSIONS: Our findings laid a foundation for further replication and fine-mapping studies as well as for positional and functional candidate gene studies, aiming at eventually finding the causal genetic variants and hidden mechanisms concerning FNCS geometry variation and the associated hip fractures.

Adult↗
PubMed2005

Association analysis of estrogen receptor alpha gene polymorphisms with cross-sectional geometry of the femoral neck in Caucasian nuclear families.

Bone geometry is a key factor in bone strength, which is the ultimate intrinsic determinant of fracture risk. Though the heritability of bone geometry is high, little effort has been spent on searching for the underlying genes. In this study, employing a sample of 1,873 subjects from 405 Caucasian nuclear families, we studied seven single nucleotide polymorphisms (SNPs) and their haplotypes of the ER-alpha gene for association with six hip geometric variables, namely, cross-sectional area (CSA), cortical thickness (CT), endocortical diameter (ED), subperiosteal width (W), sectional modulus (Z) and buckling ratio (BR). The major method used was the quantitative transmission disequilibrium test (QTDT). Our major findings were summarized below. The within-family association between SNP4 (rs1801132) in exon 4 with endocortical diameter and subperiosteal width was detected in single locus analyses (P=0.008 and 0.021, respectively) and verified in haplotype analyses (P=0.034 and 0.058, respectively). The total association of SNP4 with these two diameters was also observed in both single locus and haplotype analyses (P=0.005 and 0.031 for ED, plus P=0.003 and 0.070 for W). In addition, the total association between SNP5 (rs932477) in intron 4 with cortical thickness and buckling ratio was detected (single locus analyses: P=0.035 and 0.041, respectively). Haplotype analyses further supported the above association (P=0.010 and 0.004, respectively). Similar patterns of associations with the studied SNPs and their haplotypes were present in subsamples stratified by sex, too. However, after permutation tests, the empirical significance level was set as P<0.011, which renders most associations insignificant. Therefore, we concluded that polymorphisms in the ER-alpha gene were nominally associated with femoral neck (FN) geometry variables estimated from DXA. Such genetic effects on hip geometry were not sex specific.

Adult↗
PubMed2005

Exclusion mapping of chromosomes 1, 4, 6 and 14 with bone mineral density in 79 Caucasian pedigrees.

Low bone mineral density (BMD) is a major determinant of osteoporosis and is under strong genetic control. A large number of linkage and association studies for BMD variation have been conducted, with the results being largely inconsistent. Linkage exclusion analysis is a useful tool for gene mapping but has never been used on BMD. In the present study, we conducted a linkage exclusion mapping for BMD variation on chromosomes 1, 4, 6 and 17 in 79 Caucasian pedigrees. For hip BMD variation, several genomic regions were excluded for effect sizes of 10% or greater, including regions of 61-77 cM at 1p35-p34, 167-196 cM at 1q21-q23 and 261-291 cM at 1q42-q44; 85-112 cM at 4q21-q25 and 146-150 cM at 4q31; and 77-85 cM at 6p12-q13. For spine BMD, we were able to exclude the regions of 168-189 cM at 1q21-q23, 92-94 cM at 4q21 and 106-107 cM at 4q24 and 56-103 cM at 17q12-q25, as having effect sizes of 10% or greater. These results suggest that a number of candidate genes located in the excluded regions, such as interleukin 6 receptor (IL6R) gene, type I collagen alpha 1 (COL1A1) gene and bone morphogenetic protein-3 (BMP3) gene are unlikely to have a substantial effect on BMD variation in this Caucasian population. Along with previous studies searching for genes underlying BMD variation, the current study has further delineated the genetic basis of BMD variation and provided valuable information for future genetic studies.

Adult↗
PubMed2005

Linkage exclusion analysis of two important chromosomal regions for height.

Adult height (stature), as an important parameter of human physical development, has been studied in many populations. Recently, we reported a whole genome scan of height on a sample of 630 Caucasian subjects from 53 human pedigrees. Two chromosome regions, 6q24-25 and 7q31.3-36, achieved low linkage signals (multipoint LOD score 0.5), but gained significant results in the linkage studies of height by other groups. In addition, the region 6q24-25 harbors the ER-alpha gene, an important candidate gene for linear growth. To resolve the controversies over these two regions for height, linkage exclusion analyses were performed in an extended sample of 79 pedigrees with 1816 subjects, which include the 53 pedigrees containing 630 subjects for our previous whole genome study and additional 128 new subjects, and 26 new pedigrees containing 1058 subjects. The two regions, 6q24-25 and 7q31.3-36, were excluded at a relative effect size of 10% or greater (p value < 0.0005) and 5% or greater (p value < 0.0018), respectively. Our results suggest that the two regions may not contribute substantially to height variation in our Caucasian population.

Adult↗
PubMed2005

Predictive factors for age at menopause in Caucasian females.

OBJECTIVE: Early onset of menopause results in the premature exposure to low estrogen levels and is associated with a number of postmenopausal health problems and higher risk of mortality. The aim of this study was to determine genetic and environmental factors associated with age at natural and surgical menopause. METHODS: Multiple regression analysis using a sample of Caucasians composed of 154 females with surgical and 248 with natural menopause. RESULTS: Breastfeeding is a significant predictor of earlier natural menopause (P<0.05). Use of oral contraceptives and smoking were not significantly associated with age at menopause. Females who did not have history of pregnancies are at significantly higher risk (P<0.001) of getting early surgical menopause than those who did. We also tested the association of seven single nucleotide polymorphisms (SNPs) of the estrogen receptor alpha (ER-alpha) gene with age at menopause. No association was observed with age at menopause but the PvuII p allele was overrepresented in women with surgical menopause and associated with menopause per se (P=0.029; OR=1.8, 95% CI=1.1-3.0). CONCLUSIONS: Breastfeeding and alcohol consumption are significantly associated with earlier natural menopause. No significant effects of the ER-alpha genotypes were observed on the age of menopause. Given the important role of the ER-alpha in estrogen signaling, which directly influences the menopausal process, further studies are required to better define the relationship between this gene and age at menopause.

Age of Onset↗
PubMed2005

Improvement of mapping accuracy by unifying linkage and association analysis.

It is well known that pedigree/family data record information on the coexistence in founder haplotypes of alleles at nearby loci and the cotransmission from parent to offspring that reveal different, but complementary, profiles of the genetic architecture. Either conventional linkage analysis that assumes linkage equilibrium or family-based association tests (FBATs) capture only partial information, leading to inefficiency. For example, FBATs will fail to detect even very tight linkage in the case where no allelic association exists, while a violation of the assumption of linkage equilibrium will result in biased estimation and reduced efficiency in linkage mapping. In this article, by using a data augmentation technique and the EM algorithm, we propose a likelihood-based approach that embeds both linkage and association analyses into a unified framework for general pedigree data. Relative to either linkage or association analysis, the proposed approach is expected to have greater estimation accuracy and power. Monte Carlo simulations support our theoretical expectations and demonstrate that our new methodology: (1) is more powerful than either FBATs or classic linkage analysis; (2) can unbiasedly estimate genetic parameters regardless of whether association exists, thus remedying the bias and less precision of traditional linkage analysis in the presence of association; and (3) is capable of identifying tight linkage alone. The new approach also holds the theoretical advantage that it can extract statistical information to the maximum extent and thereby improve mapping accuracy and power because it integrates multilocus population-based association study and pedigree-based linkage analysis into a coherent framework. Furthermore, our method is numerically stable and computationally efficient, as compared to existing parametric methods that use the simplex algorithm or Newton-type methods to maximize high-order multidimensional likelihood functions, and also offers the computation of Fisher's information matrix. Finally, we apply our methodology to a genetic study on bone mineral density (BMD) for the vitamin D receptor (VDR) gene and find that VDR is significantly linked to BMD at the one-third region of the wrist.

Algorithms↗
PubMed2005

Estrogen receptor alpha gene relationship with peak bone mass and body mass index in Chinese nuclear families.

Estrogen receptor alpha (ER-alpha) plays an important role in mediating estrogen signaling. Studies in Caucasian populations have shown that it is involved in endocrine-related diseases such as osteoporosis and obesity. In the present study, we first used a quantitative transmission disequilibrium test (QTDT) to examine the relationship between this gene and both the osteoporosis-related phenotype bone mineral density (BMD), and the obesity-related phenotype body mass index (BMI), in 384 Chinese nuclear families. We genotyped a dinucleotide repeat marker (TA)n, and a long-range haplotype was reconstructed using this marker and two other restriction fragment length polymorphism (RFLP) markers at PvuII and XbaI loci. Although we found significant total association [allele (TA)21 with hip BMD (P=0.001), and haplotype Px(TA)21 with spine (P=0.0007) and hip (P=0.0006) BMD], the more reliable within-family associations were not significant between these phenotype pairs. No linkage signal was obtained for either spine BMD or hip BMD. We found no association or linkage between any of the three studied polymorphisms and the long-range haplotypes of the ER-alpha gene and BMI. Our study does not support an association of the ER-alpha gene with BMD and BMI in the Chinese population.

Absorptiometry, Photon↗