Shan-Shan Dong

Genome-wide association study suggested copy number variation may be associated with body mass index in the Chinese population

Obesity is a major public health problem characterized with high body mass index (BMI). Copy number variations (CNVs) have been identified to be associated with complex human diseases. The effect of CNVs on obesity is unknown. In this study, we explored the association of CNVs with BMI in 597 Chinese Han subjects using Affymetrix GeneChip Human Mapping 500K Array Set. We found that one CNV at 10q11.22 (from 46.36 Mb to 46.56 Mb) was associated with BMI (the raw P=0.011). The CNV contributed 1.6% of BMI variation, and it covered one important obesity gene—pancreatic polypeptide receptor 1(PPYR1). It was reported that PPYR1 was a key regulator of energy homeostasis. Our findings suggested that CNV might be potentially important for the BMI variation. In addition, our study suggested that CNV might be used as a genetic marker to locate genes associated with BMI in Chinese population.

Molecular genetic studies of gene identification for osteoporosis: the 2009 update.

Osteoporosis is a complex human disease that results in increased susceptibility to fragility fractures. It can be phenotypically characterized using several traits, including bone mineral density, bone size, bone strength, and bone turnover markers. The identification of gene variants that contribute to osteoporosis phenotypes, or responses to therapy, can eventually help individualize the prognosis, treatment, and prevention of fractures and their adverse outcomes. Our previously published reviews have comprehensively summarized the progress of molecular genetic studies of gene identification for osteoporosis and have covered the data available to the end of September 2007. This review represents our continuing efforts to summarize the important and representative findings published between October 2007 and November 2009. The topics covered include genetic association and linkage studies in humans, transgenic and knockout mouse models, as well as gene-expression microarray and proteomics studies. Major results are tabulated for comparison and ease of reference. Comments are made on the notable findings and representative studies for their potential influence and implications on our present understanding of the genetics of osteoporosis.

Polymorphisms in the estrogen receptor genes are associated with hip fractures in Chinese

INTRODUCTION Hip fractures (HF) are a major cause of public health burden with strong genetic determination. However, the true causal genes remain largely unknown. MATERIALS AND METHODS Based on the important biological role of estrogens in bone homeostasis, this study aimed to investigate whether the estrogen receptor genes, ESR1 and ESR2, affect the onset of HF in 700 elderly Chinese subjects (350 with osteoporotic HF and 350 healthy controls). We genotyped 32 SNPs in total and examined their associations both by the single-SNP and haplotype tests. RESULTS We identified two novel SNPs of ESR1, rs3020314 and rs1884051, were significantly associated with HF (rs3020314: P=0.0004, OR=1.66, 95%CI: 1.25-2.18; rs1884051: P=0.0004, OR=1.46, 95%CI: 1.19-1.81). We firstly detected significant association of ESR2 with HF (rs960070: P=0.0070, OR=1.43, 95%CI: 1.10-1.86). Haplotype analyses corroborated our single-SNP results. CONCLUSION Our findings have important implications for understanding the pathology of osteoporotic fractures. Independent replication studies are needed to validate our results and explore the most possible functional variants for molecular studies.

The regulation-of-autophagy pathway may influence Chinese stature variation : evidence from elder adults

Recent success of genome-wide association studies (GWASs) on human height variation emphasized the effects of individual loci or genes. In this study, we used a developed pathway-based approach to further test biological pathways for potential association with stature, by examining ∼370 000 single-nucleotide polymorphisms (SNPs) across the human genome in 618 unrelated elder Han Chinese. A total of 626 biological pathways annotated by any of the three major public pathway databases (KEGG, BioCarta and Ambion GeneAssist Pathway Atlas) were tested. The regulation-of-autophagy (ROA) (nominal P=0.012) pathway was marginally significantly associated with human stature after our family wise error rate multiple-testing correction. We also used 1000 random recruited US whites for further replication. Interestingly, the ROA pathway presented the strongest signals in whites for height variation (nominal P=0.002). The results correspond to biological roles of the ROA pathway in human long bone development and growth. Our findings also implied that multiple-genetic factors may work jointly as a functional unit (pathway), and the traditional GWASs could have missed important genetic information imbedded in those less significant markers.

Integrating Epigenomic Elements and GWASs Identifies BDNF Gene Affecting Bone Mineral Density and Osteoporotic Fracture Risk

To identify susceptibility genes for osteoporosis, we conducted an integrative analysis that combined epigenomic elements and previous genome-wide association studies (GWASs) data, followed by validation at population and functional levels, which could identify common regulatory elements and predict new susceptibility genes that are biologically meaningful to osteoporosis. By this approach, we found a set of distinct epigenomic elements significantly enriched or depleted in the promoters of osteoporosis-associated genes, including 4 transcription factor binding sites, 27 histone marks, and 21 chromatin states segmentation types. Using these epigenomic marks, we performed reverse prediction analysis to prioritize the discovery of new candidate genes. Functional enrichment analysis of all the prioritized genes revealed several key osteoporosis related pathways, including Wnt signaling. Genes with high priority were further subjected to validation using available GWASs datasets. Three genes were significantly associated with spine bone mineral density, including BDNF, PDE4D, and SATB2, which all closely related to bone metabolism. The most significant gene BDNF was also associated with osteoporotic fractures. RNA interference revealed that BDNF knockdown can suppress osteoblast differentiation. Our results demonstrated that epigenomic data could be used to indicate common epigenomic marks to discover additional loci with biological functions for osteoporosis.

A functional SNP regulated by miR‐196a‐3p in the 3'UTR of FGF2 is associated with bone mineral density in the Chinese Population

Previous studies have identified FGF2 as a susceptibility gene for osteoporosis in Caucasians. Evaluating the genetic associations in different ethnicities is necessary. Moreover, elucidating the functional mechanism for the susceptibility loci is important to offer new targets for therapeutic studies. Here, we genotyped 10 SNPs in FGF2 and tested for associations with bone mineral density (BMD) in a discovery sample of 1,300 Chinese subjects. Nominally significant results were subjected to replication in another sample of 1,039 Chinese subjects. We identified one SNP rs1048201:C>T in FGF2 3′untranslated region significantly associated with spine BMD (combined cohorts, P = 1.53×10−3). Expression quantitative trait locus analyses revealed that rs1048201 also affected FGF2 gene expression (P = 7.03×10−4). Bioinformatics prediction suggested that rs1048201 T allele could disrupt miRNA binding. Luciferase assay validated that the C allele had a repressive effect on FGF2 gene expression. We found that hsa‐miR‐196a‐3p affected expression on both mRNA and protein levels of FGF2. In conclusion, our study provided evidence that a functional SNP rs1048201 was associated with BMD, and SNP rs1048201:C>T variant may act by affecting binding of hsa‐miR‐196a‐3p. The SNP‐modified posttranscriptional gene regulation by miRNA could be a potentially pathogenetic mechanism of osteoporosis.

Molecular genetic studies of gene identification for osteoporosis

This review comprehensively summarizes the most important and representative molecular genetics studies of gene identification for osteoporosis published up to the end of September 2007. It is intended to constitute a sequential update of our previously published reviews covering the available data up to the end of 2004. Evidence from candidate gene-association studies, genome-wide linkage and association studies, as well as functional genomic studies (including gene-expression microarray and proteomics) on osteogenesis and osteoporosis, are reviewed separately. Studies of transgenic and knockout mice models relevant to osteoporosis are summarized. The major results of all studies are tabulated for comparison and ease of reference. 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.

Associations of Plasma FGF2 Levels and Polymorphisms in the FGF2 Gene with Obesity Phenotypes in Han Chinese Population

Obesity is highly heritable, but the specific genes influencing obesity related traits are largely unknown. Fibroblast growth factor 2 (FGF2) could influence adipocyte differentiation. However, the association of FGF2 polymorphisms and obesity remains unclear. This study aimed to investigate the associations of both the plasma FGF2 levels and SNPs in FGF2 gene with obesity phenotypes in Han Chinese populations. Plasma FGF2 levels were measured and subjected to association analyses in 62 subjects. Eleven SNPs in FGF2 were genotyped and tested for associations in a discovery sample of 1,300 subjects. SNPs significantly associated with obesity were subjected to replication in another independent sample of 1,035 subjects. We found that plasma FGF2 levels were positively correlated with fat mass (P = 0.010). Association analyses in the discovery sample identified three SNPs (rs1449683, rs167428, rs308442) significantly associated with fat mass after multiple testing adjustments (P < 0.0045). Subsequent replication study successfully validated one SNP (rs167428) associated with fat mass (Pcombine = 3.46 × 10−5). eQTL analyses revealed that SNPs associated with obesity also affected FGF2 expression. Our findings suggested that high plasma FGF2 level correlated with increased risk of obesity, and FGF2 gene polymorphisms could affect individual variances of obesity in Han Chinese population.

Genome-wide association study identified UQCC locus for spine bone size in humans

Bone size (BS) contributes significantly to the risk of osteoporotic fracture. Osteoporotic spine fracture is one of the most disabling outcomes of osteoporosis. This study aims to identify genomic loci underlying spine BS variation in humans. We performed a genome-wide association scan in 2286 unrelated Caucasians using Affymetrix 6.0 SNP arrays. Areal BS (cm(2)) at lumbar spine was measured using dual energy X-ray absorptiometry scanners. SNPs of interest were subjected to replication analyses and meta-analyses with additional two independent Caucasian populations (N=1000 and 2503) and one Chinese population (N=1627). In the initial GWAS, 91 SNPs were associated with spine BS (P<1.0E-4). Eight contiguous SNPs were found clustering in a haplotype block within UQCC gene (ubiquinol-cytochrome creductase complex chaperone). Association of the above eight SNPs with spine BS was replicated in one Caucasian and one Chinese populations. Meta-analyses (N=7416) generated much stronger association signals for these SNPs (e.g., P=1.86E-07 for SNP rs6060373), supporting association of UQCC with spine BS across ethnicities. This study identified a novel locus, i.e., the UQCC gene, for spine BS variation in humans. Future functional studies will contribute to elucidating the mechanisms by which UQCC regulates bone growth and development.

Genetic Analysis Identifies DDR2 as a Novel Gene Affecting Bone Mineral Density and Osteoporotic Fractures in Chinese Population

DDR2 gene, playing an essential role in regulating osteoblast differentiation and chondrocyte maturation, may influence bone mineral density (BMD) and osteoporosis, but the genetic variations actually leading to the association remain to be elucidated. Therefore, the aim of this study was to investigate whether the genetic variants in DDR2 are associated with BMD and fracture risk. This study was performed in three samples from two ethnicities, including 1,300 Chinese Han subjects, 700 Chinese Han subjects (350 with osteoporotic hip fractures and 350 healthy controls) and 2,286 US white subjects. Twenty-eight SNPs in DDR2 were genotyped and tested for associations with hip BMD and fractures. We identified 3 SNPs in DDR2 significantly associated with hip BMD in the Chinese population after multiple testing adjustments, which were rs7521233 (P = 1.06×10−4, β: −0.018 for allele C), rs7553831 (P = 1.30×10−4, β: −0.018 for allele T), and rs6697469 (P = 1.59×10−3, β: −0.015 for allele C), separately. These three SNPs were in high linkage disequilibrium. Haplotype analyses detected two significantly associated haplotypes, including one haplotype in block 2 (P = 9.54×10−4, β: −0.016) where these three SNPs located. SNP rs6697469 was also associated with hip fractures (P = 0.043, OR: 1.42) in the Chinese population. The effect on fracture risk was consistent with its association with lower BMD. However, in the white population, we didn’t observe significant associations with hip BMD. eQTL analyses revealed that SNPs associated with BMD also affected DDR2 mRNA expression levels in Chinese. Our findings, together with the prior biological evidence, suggest that DDR2 could be a new candidate for osteoporosis in Chinese population. Our results also reveal an ethnic difference, which highlights the need for further genetic studies in each ethnic group.