Dataset Information

National Center for Global Health and Medicine

ABSTRACT: Organisation EGAO00000000867

PROVIDER: EGAO00000000867 | EGA |

REPOSITORIES: EGA

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Publications

Characterising private and shared signatures of positive selection in 37 Asian populations.

Liu Xuanyao X Lu Dongsheng D Saw Woei-Yuh WY Shaw Philip J PJ Wangkumhang Pongsakorn P Ngamphiw Chumpol C Fucharoen Suthat S Lert-Itthiporn Worachart W Chin-Inmanu Kwanrutai K Chau Tran Nguyen Bich TN Anders Katie K Kasturiratne Anuradhani A de Silva H Janaka HJ Katsuya Tomohiro T Kimura Ryosuke R Nabika Toru T Ohkubo Takayoshi T Tabara Yasuharu Y Takeuchi Fumihiko F Yamamoto Ken K Yokota Mitsuhiro M Mamatyusupu Dolikun D Yang Wenjun W Chung Yeun-Jun YJ Jin Li L Hoh Boon-Peng BP Wickremasinghe Ananda R AR Ong RickTwee-Hee RH Khor Chiea-Chuen CC Dunstan Sarah J SJ Simmons Cameron C Tongsima Sissades S Suriyaphol Prapat P Kato Norihiro N Xu Shuhua S Teo Yik-Ying YY

European journal of human genetics : EJHG 20170118 4

The Asian Diversity Project (ADP) assembled 37 cosmopolitan and ethnic minority populations in Asia that have been densely genotyped across over half a million markers to study patterns of genetic diversity and positive natural selection. We performed population structure analyses of the ADP populations and divided these populations into four major groups based on their genographic information. By applying a highly sensitive algorithm haploPS to locate genomic signatures of positive selection, 1 ...[more]

PMID: 28098149

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Project description:Rationale: Clinical and research training opportunities in global health are of increasing interest to medical trainees, but little is known about such opportunities in U.S.-based pulmonary and pulmonary/critical care medicine (PCCM) fellowship programs.Objectives: Summarize currently available global health-related training opportunities and identify potential barriers to implementing global health curricula among U.S.-based PCCM fellowship programs.Methods: We sent a confidential, online, targeted needs assessment to PCCM fellowship program directors and associate program directors. Data collected included program demographics, currently available global health-related clinical and research training opportunities, potential barriers to the implementation of global health-related programmatic content, and perceived interest in global health-related training opportunities by current and/or prospective trainees. To evaluate for nonresponse bias, we performed an online search to identify global health-related training opportunities offered by nonresponding programs.Results: Out of 171 surveyed programs, 63 PCCM fellowship programs (37%) provided survey responses. Most responses (n = 56, 89%) were from combined PCCM training programs; 66% (n = 40) of programs offered at least one component of global health-related clinical or research training. Overall, 27% (n = 17) had a Ruth L. Kirschstein National Research Service Award Institutional Research Training Grant (National Institutes of Health T32), 73% (n = 46) had fewer than 35 faculty members, and 51% (n = 32) had at least one faculty member conducting global health-focused research. Most responding programs (66%, n = 40) offered at least one global health-related educational component. Among programs that would like to offer global health-related training components, the most common barriers included competing priorities for lecture content and a lack of in-division mentors with global health experience, a champion for global health-related activities, and established partnerships outside the United States.Conclusions: PCCM program leaders are interested in offering global health-related training opportunities, but important barriers include lack of mentorship, dedicated fellowship time, and established global partnerships. Future research is needed to better understand global health-related interests and training needs of incoming fellows and to design creative solutions for providing global health-related training across academic institutions with variable global health-related training capacities.

Dataset Information

National Center for Global Health and Medicine

Publications

Characterising private and shared signatures of positive selection in 37 Asian populations.

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