MyMedR

Displaying all 2 publications

Abstract:

Sort:

Fulltext The impact of R&D and innovation on global supply chain transition: GTAP analysis on Japan's public R&D investment

Huang MC, Liou MH, Iwaki Y

J Soc Econ Dev, 2020 Sep 19.
PMID: 34720470 DOI: 10.1007/s40847-020-00113-1

Policymaking for science, technology, and innovation (R&D) is stepping into a new era in the twenty-first century within a highly integrated production network, making it more challenging to capture the impact of R&D investment from an evidence-based approach. To unfold the paradox of the R&D spillover effect spared in the global supply chain, we use computable general equilibrium model with the GTAP database v10 to analyze the impact of Japan's public R&D investment to the world focus on key sectors of global supply chain, namely chemical and pharmaceutical, electronic equipment, machinery, and transportation equipment to examine its output, external trades, and welfare. The productivity parameters triggered by public R&D investment are calibrated from the SciREX Policymaking Intelligent Assistance System-Economic Simulator (SPIAS-e). The simulation results show significant increase in Japan's output and export for chemical and pharmaceutical, electronic equipment, and transportation equipment. The GDP growth was stimulated by 0.6% and substantial welfare improvement by USD 78,000 million, while other countries such as Malaysia and Taiwan by 0.4-0.6%. In contrast, the economic indicators of China reveal a negative impact, implying a structural change in the composition of the production network. It is notable to see a higher economic integration of Oceania within the region through its vibrant production and trades. The study provides comprehensive global analysis on production networks and insights for evaluating the R&D investment spillover effects.
Fulltext The Genetic Architecture of Depression in Individuals of East Asian Ancestry: A Genome-Wide Association Study

Giannakopoulou O, Lin K, Meng X, Su MH, Kuo PH, Peterson RE, et al.

JAMA Psychiatry, 2021 Nov 01;78(11):1258-1269.
PMID: 34586374 DOI: 10.1001/jamapsychiatry.2021.2099

IMPORTANCE: Most previous genome-wide association studies (GWAS) of depression have used data from individuals of European descent. This limits the understanding of the underlying biology of depression and raises questions about the transferability of findings between populations.
OBJECTIVE: To investigate the genetics of depression among individuals of East Asian and European descent living in different geographic locations, and with different outcome definitions for depression.
DESIGN, SETTING, AND PARTICIPANTS: Genome-wide association analyses followed by meta-analysis, which included data from 9 cohort and case-control data sets comprising individuals with depression and control individuals of East Asian descent. This study was conducted between January 2019 and May 2021.
EXPOSURES: Associations of genetic variants with depression risk were assessed using generalized linear mixed models and logistic regression. The results were combined across studies using fixed-effects meta-analyses. These were subsequently also meta-analyzed with the largest published GWAS for depression among individuals of European descent. Additional meta-analyses were carried out separately by outcome definition (clinical depression vs symptom-based depression) and region (East Asian countries vs Western countries) for East Asian ancestry cohorts.
MAIN OUTCOMES AND MEASURES: Depression status was defined based on health records and self-report questionnaires.
RESULTS: There were a total of 194 548 study participants (approximate mean age, 51.3 years; 62.8% women). Participants included 15 771 individuals with depression and 178 777 control individuals of East Asian descent. Five novel associations were identified, including 1 in the meta-analysis for broad depression among those of East Asian descent: rs4656484 (β = -0.018, SE = 0.003, P = 4.43x10-8) at 1q24.1. Another locus at 7p21.2 was associated in a meta-analysis restricted to geographically East Asian studies (β = 0.028, SE = 0.005, P = 6.48x10-9 for rs10240457). The lead variants of these 2 novel loci were not associated with depression risk in European ancestry cohorts (β = -0.003, SE = 0.005, P = .53 for rs4656484 and β = -0.005, SE = 0.004, P = .28 for rs10240457). Only 11% of depression loci previously identified in individuals of European descent reached nominal significance levels in the individuals of East Asian descent. The transancestry genetic correlation between cohorts of East Asian and European descent for clinical depression was r = 0.413 (SE = 0.159). Clinical depression risk was negatively genetically correlated with body mass index in individuals of East Asian descent (r = -0.212, SE = 0.084), contrary to findings for individuals of European descent.
CONCLUSIONS AND RELEVANCE: These results support caution against generalizing findings about depression risk factors across populations and highlight the need to increase the ancestral and geographic diversity of samples with consistent phenotyping.

Filters

Please provide feedback to Administrator (afdal@afpm.org.my)

External Links