Genes for Good: Engaging the Public in Genetics Research via Social Media

التفاصيل البيبلوغرافية
العنوان: Genes for Good: Engaging the Public in Genetics Research via Social Media
المؤلفون: Jingjing Yang, Gianna Rea-Sandin, Katharine Brieger, Scott I. Vrieze, Gregory J.M. Zajac, Jinxi Wu, Wei Zhou, Anita Pandit, Maia J. Frieser, Alan M. Kwong, Lars G. Fritsche, Chris P. Clark, Alejandro de la Vega, Karly McMorrow, Chris Scheller, Gonçalo R. Abecasis, Ellen M. Schmidt, Kevin Li, Johanna R. Foerster, Aubrey C. Annis, Andrew P. Boughton, Tanvi Parikh, David M. Brazel
بيانات النشر: Elsevier, 2019.
سنة النشر: 2019
مصطلحات موضوعية: Adult, Genetic Markers, Male, 0301 basic medicine, Adolescent, Anthropology, media_common.quotation_subject, Population, Sample (statistics), Polymorphism, Single Nucleotide, Article, Young Adult, 03 medical and health sciences, 0302 clinical medicine, Surveys and Questionnaires, Diabetes Mellitus, Genetics, Humans, Social media, 030212 general & internal medicine, Sociology, education, Gene, Genetics (clinical), media_common, education.field_of_study, Correction, Middle Aged, Health indicator, Human genetics, 030104 developmental biology, Genes, Research Design, Data quality, Hypertension, Population study, Female, Public Health, Tracking (education), Psychology, Social Media, Genome-Wide Association Study, Diversity (politics)
الوصف: The Genes for Good study uses social media to engage a large, diverse participant pool in genetics research and education. Health historyand daily tracking surveys are administered through a Facebook application, and participants who complete a minimum number of sur-veys are mailed a saliva sample kit (‘‘spit kit’’) to collect DNA for genotyping. As of March 2019, we engaged>80,000 individuals, sentspit kits to>32,000 individuals who met minimum participation requirements, and collected>27,000 spit kits. Participants come fromall 50 states and include a diversity of ancestral backgrounds. Rates of important chronic health indicators are consistent with those esti-mated for the general U.S. population using more traditional study designs. However, our sample is younger and contains a greater per-centage of females than the general population. As one means of verifying data quality, we have replicated genome-wide associationstudies (GWASs) for exemplar traits, such as asthma, diabetes, body mass index (BMI), and pigmentation. The flexible framework ofthe web application makes it relatively simple to add new questionnaires and for other researchers to collaborate. We anticipate thatthe study sample will continue to grow and that future analyses may further capitalize on the strengths of the longitudinal data in com-bination with genetic information.
اللغة: English
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d7274f1cfd98ca809922e73e1135d78c
https://europepmc.org/articles/PMC6612519/
Rights: OPEN
رقم الانضمام: edsair.doi.dedup.....d7274f1cfd98ca809922e73e1135d78c
قاعدة البيانات: OpenAIRE