784 research outputs found
Anti-corruption Strategies in Afghanistan: An Alternative Approach
© 2016, © 2016 SAGE Publications. Afghanistan is one of the most corrupt countries in the world. This article provides a critical examination of Afghan anticorruption strategies based on formal anticorruption strategy, bureaucratic reform, and counter-narcotics. This article includes reference to some of the opinions of 70 semi-structured interviews conducted by the author in Kabul during May–June 2010 with anticorruption experts, rights-based organizations, civil society groups, ministries, and international and national organizations. The findings are that political interference from Afghan elites preserves corruption and deep roots of patron–client corruption—patronage networks and illicit drug trafficking interests with criminal groups for profitable gain—are difficult to combat with the existing anticorruption strategy. Hence, new approaches need to be attempted, such as, incorporating religion and ethics and empowering local leaders to combat corruption within a sixfold approach which involves (i) raising awareness, (ii) prevention, (iii) prosecution and sanctions, (iv) detection, (v) a collaborative counter-narcotics strategy, and (vi) linking religion
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Genome-wide trans-ancestry meta-analysis provides insight into the genetic architecture of type 2 diabetes susceptibility.
To further understanding of the genetic basis of type 2 diabetes (T2D) susceptibility, we aggregated published meta-analyses of genome-wide association studies (GWAS), including 26,488 cases and 83,964 controls of European, east Asian, south Asian and Mexican and Mexican American ancestry. We observed a significant excess in the directional consistency of T2D risk alleles across ancestry groups, even at SNPs demonstrating only weak evidence of association. By following up the strongest signals of association from the trans-ethnic meta-analysis in an additional 21,491 cases and 55,647 controls of European ancestry, we identified seven new T2D susceptibility loci. Furthermore, we observed considerable improvements in the fine-mapping resolution of common variant association signals at several T2D susceptibility loci. These observations highlight the benefits of trans-ethnic GWAS for the discovery and characterization of complex trait loci and emphasize an exciting opportunity to extend insight into the genetic architecture and pathogenesis of human diseases across populations of diverse ancestry
Educational Engagement in Boston’s Vietnamese Community: Asian American Studies Program student-faculty-alumni engagement with teachers, students, and families of the Mather School (BPS) in Dorchester
Founded in 1639, the Mather Elementary School in Dorchester is the oldest public elementary school in the US. In 2012, nearly 40% of Mather students were Vietnamese American from immigrant households. The Mather School’s Vietnamese Structured English Immersion (SEI) program is the largest in Boston. In 1993, Ngoc-lan (Loni) Nguyen, a Vietnamese refugee student in education and Asian American Studies at UMass Boston, was hired as a 4th grade bilingual teacher. Many of Lan’s students later attended UMass Boston where they reconnected educationally with the importance of Vietnamese American identity, community, and empowerment in AsAmSt courses. In 2007, Lan visited an AsAmSt class with three former 4th-graders present. In 2010, UMass Boston AsAmSt alumna, Songkhla (Kha) Nguyen began teaching 2nd grade SEI at the Mather, and in 2012, Tuyet Dinh, a founder of AsAmSt’ s Coalition for Asian Pacific American Youth (CAPAY) was hired to teach Kindergarten SEI
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Interaction between FTO gene variants and lifestyle factors on metabolic traits in an Asian Indian population
Background
Lifestyle factors such as diet and physical activity have been shown to modify the association between fat mass and obesity–associated (FTO) gene variants and metabolic traits in several populations; however, there are no gene-lifestyle interaction studies, to date, among Asian Indians living in India. In this study, we examined whether dietary factors and physical activity modified the association between two FTO single nucleotide polymorphisms (rs8050136 and rs11076023) (SNPs) and obesity traits and type 2 diabetes (T2D).
Methods
The study included 734 unrelated T2D and 884 normal glucose-tolerant (NGT) participants randomly selected from the urban component of the Chennai Urban Rural Epidemiology Study (CURES). Dietary intakes were assessed using a validated interviewer administered semi-quantitative food frequency questionnaire (FFQ). Physical activity was based upon the self-report. Interaction analyses were performed by including the interaction terms in the linear/logistic regression model.
Results
There was a significant interaction between SNP rs8050136 and carbohydrate intake (% energy) (Pinteraction = 0.04), where the ‘A’ allele carriers had 2.46 times increased risk of obesity than those with ‘CC’ genotype (P = 3.0 × 10−5) among individuals in the highest tertile of carbohydrate intake (% energy, 71 %). A significant interaction was also observed between SNP rs11076023 and dietary fibre intake (Pinteraction = 0.0008), where individuals with AA genotype who are in the 3rd tertile of dietary fibre intake had 1.62 cm lower waist circumference than those with ‘T’ allele carriers (P = 0.02). Furthermore, among those who were physically inactive, the ‘A’ allele carriers of the SNP rs8050136 had 1.89 times increased risk of obesity than those with ‘CC’ genotype (P = 4.0 × 10−5).
Conclusions
This is the first study to provide evidence for a gene-diet and gene-physical activity interaction on obesity and T2D in an Asian Indian population. Our findings suggest that the association between FTO SNPs and obesity might be influenced by carbohydrate and dietary fibre intake and physical inactivity. Further understanding of how FTO gene influences obesity and T2D through dietary and exercise interventions is warranted to advance the development of behavioral intervention and personalised lifestyle strategies, which could reduce the risk of metabolic diseases in this Asian Indian population
Trans-ethnic study design approaches for fine-mapping.
Studies that traverse ancestrally diverse populations may increase power to detect novel loci and improve fine-mapping resolution of causal variants by leveraging linkage disequilibrium differences between ethnic groups. The inclusion of African ancestry samples may yield further improvements because of low linkage disequilibrium and high genetic heterogeneity. We investigate the fine-mapping resolution of trans-ethnic fixed-effects meta-analysis for five type II diabetes loci, under various settings of ancestral composition (European, East Asian, African), allelic heterogeneity, and causal variant minor allele frequency. In particular, three settings of ancestral composition were compared: (1) single ancestry (European), (2) moderate ancestral diversity (European and East Asian), and (3) high ancestral diversity (European, East Asian, and African). Our simulations suggest that the European/Asian and European ancestry-only meta-analyses consistently attain similar fine-mapping resolution. The inclusion of African ancestry samples in the meta-analysis leads to a marked improvement in fine-mapping resolution
The challenge of artemisinin resistance can only be met by eliminating Plasmodium falciparum malaria across the Greater Mekong subregion
Towards Customary Legal Empowerment
Rule of Law and Development: Formation, Implementation and Improvement of Law and Governance in Developing Countrie
Household exposure to violence and human rights violations in western Bangladesh (I): prevalence, risk factors and consequences
Lost in authoritarian development:Have global climate deals and the aid community sacrificed the Vietnamese highland population?
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