The relationship timeline: A method for the study of shared lived experiences in relational contexts

Lifeline methods—graphic illustrations of the pathways of lived experience traveled by individuals from birth to anticipated death—have been useful in the study of lived experience. Existing lifeline methods and research focus on the individual experience; absent from this literature are the collective experiences of those in intimate relationships. In this paper, based on our research with 120 same-sex couples, we present a method to allow for the joint creation of relationship timelines, which serve as the basis for eliciting dyadic data in multiple forms: graphic representations of relationship development through couples’ creation of a timeline of key events and periods; qualitative narratives of couples’ shared experiences; and quantitative ratings of significant events and periods in their lives together. Lessons learned from the application of this Relationship Timeline Method are discussed, as are implications for future study of shared lived experiences in relational contexts

Focus Group Method:Doing Research Inclusively and Supporting Social Inclusion

This chapter relates to the inclusive or democratic turn in social science research. Increasingly researchers are seeking to shift the dynamics of research production away from doing research on people, mining them for information, and towards researching with participants and recognizing that research needs to be purposeful and beneficial for participants. One important way of doing this is by creating vibrant interactive spaces in which best use can be made of participants’ potential not just to contribute, but to learn from each other’s contributions and come to know themselves and their own situation a little better. Focus groups can create these spaces, especially when the researcher is alert to their inclusive and transformative potential and open to the idea of hybrids of focus groups and other methods. Taking a Freirean approach to the focus group method, the authors have been using focus groups to support participants’ power in the research process. This comes through embracing the praxis of defining their focus collaboratively and by embedding the research authority in the interactive space between individuals. The chapter shows how focus groups can be political or playful as a means of co-production. This will be illustrated using data from studies involving people with intellectual disabilities, where the mutual support among those in dialogue is evident. The authors argue that the experience of taking part in focus groups enhances the social inclusion of those involved

Mapping the human genetic architecture of COVID-19

The genetic make-up of an individual contributes to the susceptibility and response to viral infection. Although environmental, clinical and social factors have a role in the chance of exposure to SARS-CoV-2 and the severity of COVID-191,2, host genetics may also be important. Identifying host-specific genetic factors may reveal biological mechanisms of therapeutic relevance and clarify causal relationships of modifiable environmental risk factors for SARS-CoV-2 infection and outcomes. We formed a global network of researchers to investigate the role of human genetics in SARS-CoV-2 infection and COVID-19 severity. Here we describe the results of three genome-wide association meta-analyses that consist of up to 49,562 patients with COVID-19 from 46 studies across 19 countries. We report 13 genome-wide significant loci that are associated with SARS-CoV-2 infection or severe manifestations of COVID-19. Several of these loci correspond to previously documented associations to lung or autoimmune and inflammatory diseases3,4,5,6,7. They also represent potentially actionable mechanisms in response to infection. Mendelian randomization analyses support a causal role for smoking and body-mass index for severe COVID-19 although not for type II diabetes. The identification of novel host genetic factors associated with COVID-19 was made possible by the community of human genetics researchers coming together to prioritize the sharing of data, results, resources and analytical frameworks. This working model of international collaboration underscores what is possible for future genetic discoveries in emerging pandemics, or indeed for any complex human disease