| Literature DB >> 35614288 |
Catherine Hammack-Aviran1, Ayden Eilmus2, Carolyn Diehl1, Keanan Gabriel Gottlieb3, Gilbert Gonzales4, Lea K Davis5, Ellen Wright Clayton6.
Abstract
We conducted in-depth, semi-structured interviews with LGBTQ+-identified individuals (n = 31) to explore the range of LGBTQ+ perspectives on genomic research using either sexual orientation or gender identity (SOGI) data. Most interviewees presumed that research would confirm genetic contributions to sexual orientation and gender identity. Primary hopes for such confirmation included validating LGBTQ+ identities, improved access to and quality of healthcare and other resources, and increased acceptance in familial, socio-cultural, and political environments. Areas of concern included threats of pathologizing and medicalizing LGBTQ+ identities and experiences, undermining reproductive rights, gatekeeping of health or social systems, and malicious testing or misuse of genetic results, particularly for LGBTQ+ youth. Overall, interviewees were divided on the acceptability of genomic research investigating genetic contributions to sexual orientation and gender identity. Participants emphasized researchers' ethical obligations to LGBTQ+ individuals and endorsed engagement with LGBTQ+ communities throughout all aspects of genomic research using SOGI data.Entities:
Keywords: Attitudes about genomics research; LGBTQ+ health; Qualitative research; Sexual orientation and gender identity
Mesh:
Year: 2022 PMID: 35614288 PMCID: PMC9132750 DOI: 10.1007/s10519-022-10105-y
Source DB: PubMed Journal: Behav Genet ISSN: 0001-8244 Impact factor: 2.965
Self-described participant demographics
| n | % | |
|---|---|---|
| Sexuality | ||
| Gay or lesbian | 17 | 55 |
| Bisexual | 06 | 19 |
| Pansexual | 02 | 06 |
| Queer | 05 | 16 |
| Uncertain | 01 | 03 |
| Gender | ||
| Cisgender | 20 | 65 |
| Transgender or of trans experience | 04 | 13 |
| Non-binary, gender non-conforming, gender fluid, or other gender not otherwise captured | 06 | 19 |
| Race | ||
| Asian | 01 | 03 |
| Black, African American | 05 | 16 |
| White | 25 | 81 |
| Ethnicity | ||
| Hispanic, Latinx, or of other Spanish origin | 02 | 06 |
| Not Hispanic, Latinx, or of other Spanish origin | 29 | 94 |
| Age (in years) | ||
| 18–29 | 12 | 39 |
| 30–39 | 08 | 26 |
| 40–49 | 04 | 13 |
| 50–59 | 02 | 06 |
| ≥ 60 | 01 | 03 |
| Not reported | 04 | 13 |
| Education | ||
| High school, some college | 06 | 19 |
| Associate’s/vocational degree | 02 | 06 |
| Bachelor’s degree | 14 | 45 |
| Graduate or professional degree | 09 | 29 |
| The National Research Project (NRP) is a large-scale research study to collect and store many different types of information from more than one million people in the United States. The goal is to facilitate research by creating one central resource of data and specimens for researchers to use for a range of studies well into the future. Researchers hope that by taking into account individual differences in lifestyle, environment, and biology, they can find new ways to predict, detect, manage, and treat disease and improve health for everyone |
| The NRP is currently inviting adults to participate in this historic research project. Like most precision medicine research studies, the NRP can collect and store the following: |
| i.Biospecimens (e.g., blood), including genomic information/DNA |
| ii.Electronic health record (EHR) information from their healthcare providers, such as their current and past diagnoses and medications, family health history, test results, gender identity and sex assigned at birth, and sexual orientation |
| iii.Participants’ survey responses about their lifestyle and health behaviors, such as smoking, exercise, sexual activity, stress, and environmental exposures |
| In order for the project to be effective, it is important that the participants broadly reflect the diversity of the United States. For example, researchers want to be sure that people of different races/ethnicities, ages, genders, and other characteristics are included in the study. This is important because unless all types of people take part, researchers can’t be sure that their results will apply/be relevant to all people, including LGBTQ+ people |
| Individuals who want to participate will give broad consent to research on an array of topics by an array of researchers using their specimens and data in the future |
| Researchers apply to get access to the specimens and information stored in this Biobank. If approved, they will use de-identified health information and/or biospecimens (blood, saliva, tissue), so they will not know who the data came from. There is a master key connecting code numbers to individuals’ identities, but researchers cannot access it. There are many other safeguards in place to protect the specimens and data from unapproved access and unapproved uses |
| Researchers can link biospecimens, EHR data, and survey responses to get a wide range of health-related information about a person, even though researchers don’t know the participant’s identity |
| Researchers who want to learn more about |
| Researchers can use special computer systems that use EHR and survey data to find which biospecimens and other data belong to NRP participants who are LGBTQ+ , but they wouldn’t know any given participant’s name or other identifying information, like their address |
| By looking at many LGBTQ+ people’s genetic information (DNA) along with their medical and other information, researchers hope to learn more about what factors ( |
| This type of research does |
| Researchers want to learn more about what role, if any, genes play in sexuality and gender. They want to use blood samples from the NRP biobank to study the DNA / genetic makeup of NRP participants who identify as LGBTQ+ |
| If their study is approved by the NRP, researchers will use special computer systems that use EHR and survey data to find which biospecimens belong to these participants, but they won’t know any given participant’s name or other identifying information, like their address |
| By looking at the genes of many LGBT + people, researchers hope to learn more about the role of genetics in sexuality and gender. In other words, researchers want to find out the extent to which people’s sexuality or gender is influenced by their genes |
| 1. | The interviews were conducted by Catherine Hammack-Aviran (author) and Carolyn Diehl (author) under the leadership of the Principal Investigator Ellen W. Clayton (author) |
| 2. | Ellen W. Clayton, JD, MD (author); Lea K. Davis, PhD (author); Carolyn Diehl, MS (author); Ayden Eilmus, BA (author); Gilbert Gonzales, PhD, MHA (author); Keanan Gabriel Gottlieb, BA (author); Catherine Hammack-Aviran, MA, JD [CHA] (author); |
| 3. | |
| 4. | |
| 5. | CHA is a law and bioethics scholar with over fifteen years of experience in empirical investigations, including qualitative research and community engagement. She has published over 25 articles and book chapters regarding ethical, legal, and social issues in health and biomedical research, and serves on several national committees and working groups on research ethics GG is interdisciplinary health services researcher with expertise in sexual and gender (SGM) minority health, health policy, health disparities, and population health. He has published over 30 peer-reviewed studies examining health outcomes, access to care, and health services utilization among lesbian, gay, bisexual, and transgender (LGBT) populations AE is a recent graduate of Vanderbilt University where she focused on medical anthropology and philosophy. She has published articles on representations of genomics in film and television CD is a program manager with experience in recruiting research participants and in coding, analyzing, and managing qualitative research data LKD is a statistical geneticist whose work focuses on neurodiversity in human populations. She is devoted to advocating on issues of social justice including LGBTQ health disparities and was the senior author of the position paper by Polderman, et al., on behalf of the International Gender Diversity Genomics Consortium KGG is a research analyst, educator, patient navigator, and consultant in the Program for LGBTQ Health and was instrumental in community outreach EWC has been exploring the ethical, legal, and social implications of genomics research, its clinical applications, and social impact for over 40 years, using a wide array of methods, including qualitative research |
| 6. | No relationship was established between an interviewee and interviewer prior to study commencement. In the few instances in which an eligible participant knew or may have known an interviewer in a personal or professional capacity outside of the research context, the participant was informed of the potential privacy considerations and was assigned to the |
| 7. | Prospective participants were provided with information about the funding source, the overall goals of the study, and the specific goals of the interview (see consent information) |
| 8. | Some interviewees were informed or otherwise aware of their interviewer’s sexual orientation and/or gender identity in the course of the conversation. Both interviewers are cisgender; one interviewer openly identifies as LGBTQ+ |
| 9. | We used an over-arching grounded theory research methodology. Within the overall framework, we employed an applied thematic analysis (including constant comparative analysis) to identify and refine meaningful categories Additional details are presented in COREQ Section 25, below |
| 10. | Purposive and referral sampling, as described under |
| 11. | Prospective participants were informed of the opportunity to participate in this study via email initially distributed by local LGBTQ+ organizations ( |
| 12. | n = 31 |
| 13. | Among the individuals who contacted us to express interest in participating: • 5 were not eligible • 0 were eligible but declined to participate ◦ 0 were unavailable ( ◦ 0 did not specify reason • 5 agreed but failed to respond to our attempts to schedule an interview • 1 scheduled an interview but did not participate ( No individual failed to complete an interview in progress ( |
| 14. | Interviews were conducted by telephone |
| 15. | No. Importantly, we specifically asked participants to confirm at the start of the interview that their environment was safe, private, and conducive to transparent conversation regarding sexuality and gender |
| 16. | The sample is described in detail under |
| 17. | The interview questions and prompts associated with the data reported here are provided under |
| 18. | No interviews were repeated |
| 19 | All interviews were digitally audio-recorded per each participant’s verbal permission |
| 20. | Yes; interviewers took handwritten notes directly onto interview materials designated for each participant throughout the interview, as well as additional post-interview contextual notes when relevant |
| 21. | Interviews ranged from 30—57 min in length. On average, each interview lasted approximately 45 min |
| 22. | All transcripts were reviewed in their entirety during team-based codebook development for the purpose of generating codes to capture all primary themes (with the goal of capturing all secondary and tertiary themes). After independent application of the finalized codebook to 10 randomly-selected transcripts, no additional themes were identified, suggesting saturation |
| 23. | No |
| 24. | Two (2) [CHA, CD] |
| 25. | Major and minor themes are identified within distinct headings and subheadings |
| 26. | Themes were derived from the data Specifically, several a priori codes were identified through systematic instrument development; e.g., overall acceptability of each research scenario) To identify emergent content and structural themes, all members of our interdisciplinary team—with expertise in law, bioethics (including empirical bioethics), genomics, LGBTQ+ health, trans health, health policy, and qualitative research–reviewed at least five (5) transcripts. Each transcript (31) was assigned to at least two team members, and every transcript was reviewed by at least one of three team members who self-identify as LGBTQ+ . Each team member independently reviewed transcripts, identifying important and/or common themes and compiling an initial list of potential structural and thematic codes. The primary coder [CHA] compiled all potential codes, and the team converged multiple times to revise and refine code definitions, inclusion/exclusion code application criteria, and examples of code applications to representative data. Primary and secondary structural codes were then applied to all 31 transcripts by CHA (~ 65%) and CD (~ 35%). Given the extensive complexities and nuances in the data, the primary coder [CHA] (self-identifying LGBTQ+ person) applied content codes to all transcripts; the secondary coder [CD] (not LGBTQ+ person) then independently reviewed all content code applications to confirm accuracy and identify errors, inconsistencies, or discrepancies, which were then resolved in discussion with the primary coder and larger team, when applicable |
| 27. | NVivo 12 (2018) |
| 28. | No |
| Reporting | |
| 29. | Participant quotations are presented and identified by participant pseudo-identifier |
| 30. | Our manuscript integrates extensive use of direct quotes to provide evidence for each conclusion drawn |
| 31. | Major themes are clearly identified within distinct headings and subheadings |
| 32. | There is substantial discussion of themes within each subheading, including diverse cases and minority opinions |