Analysis of alcohol dependence phenotype in the COGA families using covariates to detect linkage

Linkage analysis methods that incorporate etiological heterogeneity of complex diseases are likely to demonstrate greater power than traditional linkage analysis methods. Several such methods use covariates to discriminate between linked and unlinked pedigrees with respect to a certain disease locus. Here we apply several such methods including two mixture models, ordered subset analysis, and a conditional logistic model to genome scan data on the DSM-IV alcohol dependence phenotype on the Collaborative Studies on Genetics of Alcoholism families, and compare the results to traditional nonparametric linkage analysis. In general, there was little agreement among the various covariate-based linkage statistics. Linkage signals with empirical p-values less than 0.001 were detected on chromosomes 3, 4, 7, 10, and 12, with the highest peak occurring at the GABRB1 gene using the ecb21 covariate.     

Tracking blood glucose and predicting prediabetes in Chinese children and adolescents: a prospective twin study

We examined the tracking of blood glucose, the development of prediabetes, and estimated their genetic contributions in a prospective, healthy, rural Chinese twin cohort. This report includes 1,766 subjects (998 males, 768 females) aged 6-21 years at baseline who completed a 6-year follow-up study. Oral glucose tolerance test was performed for all subjects at both baseline and follow-up. We found that subjects with low fasting plasma glucose (FPG) or 2 h post-load glucose (PG) levels at baseline tended to remain at the low level at follow-up. Subjects in the top tertile of baseline plasma glucose tended to have a higher risk of developing prediabetes at follow-up compared to the low tertile: in males, 37.6% vs. 27.6% for FPG and 37.2% vs. 25.7% for 2hPG, respectively; in females, 31.0% vs. 15.4% for FPG and 28.9% vs. 15.1% for 2 h PG, respectively. Genetic factors explained 43% and 41% of the variance of FPG, and 72% and 47% for impaired fasting glucose for males and females, respectively; environmental factors substantially contribute to 2hPG status and impaired glucose tolerance. In conclusion, in this cohort of healthy rural Chinese children and adolescents, we demonstrated that both FPG and 2hPG tracked well and was a strong predictor of prediabetes. The high proportion of children with top tertile of blood glucose progressed to prediabetes, and the incidence of prediabetes has a male predominance. Genetic factors play more important role in fasting than postload status, most of which was explained by unique environmental factors.     

转录调控因子Fox的功能及分子机制研究进展

Fox (Forkhead box)蛋白家族有19个亚族, 它们通过结合DNA, 激活或抑制目的基因的转录活性, 同时还能参与细胞信号转导、 细胞周期调控和新陈代谢的调节, 在生物体发育及其成熟的组织器官中均能发挥重要作用, 目前, 有关Fox蛋白家族的功能及分子机制已逐步成为免疫学、 遗传学、 医学以及肿瘤学领域的研究热点。本文综述了Fox家族成员的命名及分类、 蛋白结构及其DNA识别机制以及该家族成员如何参与Hh, TGF-β/SMAD, MAPK, Wnt/β-catenin和IGF信号通路的调控。Fox家族可调控线虫的咽、 果蝇的唾液腺以及哺乳动物的肝脏和眼睛等器官的发育, 能够影响细胞周期, 其家族成员FoxA可以和CREB、 GR结合调控新陈代谢。不同物种的Fox家族成员个数存在差异, 并且受到严格的进化选择。对其功能和分子进化机制进一步研究可为阐明生物的发育机理和人类疾病的防治提供新的思路。     

Type 2 Diabetes and Three Calpain-10 Gene Polymorphisms in Samoans: No Evidence of Association

Although genomewide scans have identified several potential chromosomal susceptibility regions in several human populations, finding a causative gene for type 2 diabetes has remained elusive. Others have reported a novel gene, calpain-10 (CAPN10), located in a previously identified region on chromosome 2q37.3, as a putative susceptibility gene for type 2 diabetes. Three single-nucleotide polymorphisms (SNPs) (UCSNP43, UCSNP19, and UCSNP63) were shown to be involved in increased risk of the disease among Mexican Americans. We have tested the association of these three SNPs with type 2 diabetes among the Samoans of Polynesia, who have a very high prevalence of the disease. In the U.S. territory of American Samoa, prevalence is 25% and 15% in men and women, respectively, whereas, in the independent nation of Samoa, prevalence is 3% and 5% in men and women, respectively. In our study sample, which consisted of 172 unrelated affected case subjects and 96 control subjects, we failed to detect any association between case subjects and control subjects in allele frequencies, haplotype frequencies, or haplotype combinations of UCSNP43, -19, and -63. Also, our data showed no evidence of linkage, among 201 affected sib pairs, in the region of chromosome 2 that contains these SNPs. Three plausible scenarios could explain these observations. (1) CAPN10 is a susceptibility gene only in particular ethnic groups; (2) our study lacks power to detect the effects of CAPN10 polymorphisms (but our sample size is comparable to that of earlier reports); or (3) the underlying biological mechanism is too complex and requires further research.     

2009～2010年上海地区急性呼吸道感染病毒病原谱分析

调查2009~2010年上海地区人群急性呼吸道感染(ARTI)的病毒性病原,探讨2009甲型H1N1流感暴发背景下呼吸道感染病毒病原谱的构成。采用套式多重反转录-聚合酶链反应(RT-PCR)和实时荧光定量RT-PCR方法,对来自2 044例患者的2 044份标本(包括2 005份鼻咽拭子和39份肺泡灌洗液),同时检测腺病毒(ADV)、副流感病毒(PIV)、甲型流感病毒(FluA)、乙型流感病毒(FluB)、微小核糖核酸病毒、呼吸道合胞病毒(RSV)、人偏肺病毒(hMPV)、冠状病毒(CoV)和人博卡病毒(HBoV)。其中,656(32.09%)份标本经呼吸道病毒检测为阳性,52份标本为双重感染。FluA检出率最高(13.36%),其后依次为微小核糖核酸病毒(10.23%)、FluB(4.84%)、ADV(1.96%)、PIV(1.76%)、RSV(1.32%)、CoV(0.59%)、hMPV(0.39%)和HBoV(0.20%)。但各月病毒检出率分布不均,2009和2010年呼吸道病毒检出率高峰出现在当年11月(53.07%和65.59%),低谷都出现在当年5月,且2009年5~9月的病毒检出率高于2010年同期(32.02%vs15.38%,P<0.05)。其中,2009甲型H1N1流感暴发导致2009年10月~2010年1月2009甲型H1N1流感病毒占当月检出FluA的100%,2009年6~9月也占当月检出FluA的较高比率,依次为90.91%(20/22)、75.00%(15/20)、48.00%(12/25)和56.25%(18/32)。比较甲型H3N2流感病毒和2009甲型H1N1流感病毒分别在上呼吸道感染(URTI)和下呼吸道感染(LRTI)中的检出率,无统计学差异(URTI,85.29%vs76.61%;LRTI,14.71%vs23.39%;P>0.05)。呼吸道病毒检出率还与年龄相关,0~4岁组和5~14岁组病毒检出率高于其他年龄组。在0~4岁及≥65岁组中,微小核糖核酸病毒检出率最高,FluA次之;其余年龄组中FluA检出率最高。混合感染中15岁以下儿童占50%(26/52),微小核糖核酸病毒与其他病毒混合感染占84.62%(44/52)。本研究表明,上海地区2009~2010年FluA是最常见的急性呼吸道感染病原,2009甲型H1N1流感病毒成为2009年FluA的优势亚型。微小核糖核酸病毒是混合感染中最常见的病原。结果提示,应长期监测主要呼吸道病毒的活动水平,并加强对微小核糖核酸病毒流行病学和致病性的研究。     

Yeast axial-element protein,Red1, binds SUMO chains to promote meiotic interhomologue recombination and chromosome synapsis

The synaptonemal complex (SC) is a tripartite protein structure consisting of two parallel axial elements (AEs) and a central region. During meiosis, the SC connects paired homologous chromosomes, promoting interhomologue (IH) recombination. Here, we report that, like the CE component Zip1, Saccharomyces cerevisiae axial-element structural protein, Red1, can bind small ubiquitin-like modifier (SUMO) polymeric chains. The Red1–SUMO chain interaction is dispensable for the initiation of meiotic DNA recombination, but it is essential for Tel1- and Mec1-dependent Hop1 phosphorylation, which ensures IH recombination by preventing the inter-sister chromatid DNA repair pathway. Our results also indicate that Red1 and Zip1 may directly sandwich the SUMO chains to mediate SC assembly. We suggest that Red1 and SUMO chains function together to couple homologous recombination and Mec1–Tel1 kinase activation with chromosome synapsis during yeast meiosis.     

Admixture-matched case-control study: a practical approach for genetic association studies in admixed populations

Case-control genetic association studies in admixed populations are known to be susceptible to genetic confounding due to population stratification. The transmission/disequilibrium test (TDT) approach can avoid this problem. However, the TDT is expensive and impractical for late-onset diseases. Case-control study designs, in which, cases and controls are matched by admixture, can be an appealing and a suitable alternative for genetic association studies in admixed populations. In this study, we applied this matching strategy when recruiting our African American participants in the Study of African American, Asthma, Genes and Environments. Group admixture in this cohort consists of 83% African ancestry and 17% European ancestry, which was consistent with reports from other studies. By carrying out several complementary analyses, our results show that there is a substructure in the cohort, but that the admixture distributions are almost identical in cases and controls, and also in cases only. We performed association tests for asthma-related traits with ancestry, and only found that FEV(1), a measure for baseline pulmonary function, was associated with ancestry after adjusting for socio-economic and environmental risk factors (P=0.01). We did not observe an excess of type I error rate in our association tests for ancestry informative markers and asthma-related phenotypes when ancestry was not adjusted in the analyses. Furthermore, using the association tests between genetic variants in a known asthma candidate gene, beta(2) adrenergic receptor (beta(2)AR) and DeltaFEF(25-75), an asthma-related phenotype, as an example, we demonstrated population stratification was not a confounder in our genetic association. Our present work demonstrates that admixture-matched case-control strategies can efficiently control population stratification confounding in admixed populations.     

Population stratification confounds genetic association studies among Latinos

In the United States, asthma prevalence and mortality are the highest among Puerto Ricans and the lowest among Mexicans. Case-control association studies are a powerful strategy for identifying genes of modest effect in complex diseases. However, studies of complex disorders in admixed populations such as Latinos may be confounded by population stratification. We used ancestry informative markers (AIMs) to identify and correct for population stratification among Mexican and Puerto Rican subjects participating in case-control studies of asthma. Three hundred and sixty-two subjects with asthma (Mexican: 181, Puerto Rican: 181) and 359 ethnically matched controls (Mexican: 181, Puerto Rican: 178) were genotyped for 44 AIMs. We observed a greater than expected degree of association between pairs of AIMs on different chromosomes in Mexicans (P < 0.00001) and Puerto Ricans (P < 0.00002) providing evidence for population substructure and/or recent admixture. To assess the effect of population stratification on association studies of asthma, we measured differences in genetic background of cases and controls by comparing allele frequencies of the 44 AIMs. Among Puerto Ricans but not in Mexicans, we observed a significant overall difference in allele frequencies between cases and controls (P = 0.0002); of 44 AIMs tested, 8 (18%) were significantly associated with asthma. However, after adjustment for individual ancestry, only two of these markers remained significantly associated with the disease. Our findings suggest that empirical assessment of the effects of stratification is critical to appropriately interpret the results of case-control studies in admixed populations.