| Literature DB >> 31204010 |
Katharine Brieger1, Gregory J M Zajac2, Anita Pandit3, Johanna R Foerster2, Kevin W Li2, Aubrey C Annis2, Ellen M Schmidt4, Chris P Clark2, Karly McMorrow2, Wei Zhou5, Jingjing Yang6, Alan M Kwong2, Andrew P Boughton2, Jinxi Wu7, Chris Scheller2, Tanvi Parikh8, Alejandro de la Vega8, David M Brazel9, Maia Frieser10, Gianna Rea-Sandin11, Lars G Fritsche2, Scott I Vrieze12, Gonçalo R Abecasis13.
Abstract
The Genes for Good study uses social media to engage a large, diverse participant pool in genetics research and education. Health history and daily tracking surveys are administered through a Facebook application, and participants who complete a minimum number of surveys are mailed a saliva sample kit ("spit kit") to collect DNA for genotyping. As of March 2019, we engaged >80,000 individuals, sent spit kits to >32,000 individuals who met minimum participation requirements, and collected >27,000 spit kits. Participants come from all 50 states and include a diversity of ancestral backgrounds. Rates of important chronic health indicators are consistent with those estimated for the general U.S. population using more traditional study designs. However, our sample is younger and contains a greater percentage of females than the general population. As one means of verifying data quality, we have replicated genome-wide association studies (GWASs) for exemplar traits, such as asthma, diabetes, body mass index (BMI), and pigmentation. The flexible framework of the web application makes it relatively simple to add new questionnaires and for other researchers to collaborate. We anticipate that the study sample will continue to grow and that future analyses may further capitalize on the strengths of the longitudinal data in combination with genetic information.Entities:
Keywords: asthma; body mass index; complex traits; diabetes; direct to participant research; genome-wide association study; genotyping array; participant engagement; population study; social media
Year: 2019 PMID: 31204010 PMCID: PMC6612519 DOI: 10.1016/j.ajhg.2019.05.006
Source DB: PubMed Journal: Am J Hum Genet ISSN: 0002-9297 Impact factor: 11.025