Public Health Genomics最新文献

Introduction: Engaging youth as peer educators has yet to be considered to promote literacy concerning conjoint genetic and environmental (G × E) influences on health conditions. Whether youth living in low- and middle-income countries (LMICs) could and would be willing to serve as lay educators of G × E education is unclear.

Methods: A cross-sectional survey of youth living in Southern Ethiopia was conducted from August to September 2017. Trained data collectors administered the survey on 377 randomly selected youth who ranged in age from 15 to 24; 52% were female and 95% reported having some formal education. Self-reported willingness and a constructed competency score were assessed. Bivariate analyses tested for factors associated with willingness and competency to serve as lay G × E literacy builders.

Results: Competency and willingness were significantly greater (p < 0.05) for youth who were male, had some formal education, and had civic or leadership experience. Differences in median willingness were significant for youth who scored as more competent versus those who scored as less competent (p < 0.001). There were no characteristics that moderated the association of competency with willingness.

Conclusion: Youth peer educator programs hold promise for disseminating improved G Χ E literacy and reducing stigma associated with deterministic misunderstandings. Thoughtful recruitment and training strategies will be needed to ensure that the broadest representation of youth in LMIC contexts has the opportunity to serve in this role, particularly girls and those without formal education.

Introduction: Family history is an established risk factor for both cardiovascular disease (CVD) and diabetes; however, no study has presented population-based prevalence estimates of family histories of CVD and diabetes and examined their joint impact on prevalence of diabetes, CVD, cardiometabolic risk factors, and mortality risk.

Methods: We analyzed data from a representative sample of the US adult population including 29,440 participants from the National Health and Nutrition Examination Survey (2007-2018) and assessed self-reported first-degree family history of diabetes and CVD (premature heart disease before age of 50 years) as well as meeting criteria and/or having risk factors for CVD and diabetes.

Results: Participants with joint family history exhibit 6.5 greater odds for having both diseases and are diagnosed with diabetes 6.6 years earlier than participants without family history. Healthy participants without prevalent CVD or diabetes but with joint family history exhibit a greater prevalence of diabetes risk factors compared to no family history counterparts. Joint family history is associated with an increase in all-cause mortality, but with no interactive effect.

Conclusion: Over 44% of the US adult population has a family history of CVD and/or diabetes that is comparable in risk to common cardiometabolic risk factors. This wide presence of high-risk family history and its simplicity of ascertainment suggests that clinical and public health efforts should collect and act on joint family history of CVD and diabetes to improve population efforts in the prevention and early detection of these common chronic diseases.

Introduction: The rapidly expanding direct-to-consumer genetic testing (DTC GT) market is one area where narratives of underrepresented populations have not been explored extensively. This study describes African-American consumers' personal experiences with and perceptions about DTC GT and explores similarities and differences between African-Americans and an earlier cohort of mostly European American consumers.

Methods: Twenty semi-structured, qualitative interviews were held with individuals who self-identified as Black/African-American and completed DTC GT between February 2017 and February 2020. Interviews were transcribed and consensus-coded, using inductive content analysis.

Results: Participants generally had positive regard for DTC GT. When considering secondary uses of their results or samples, most participants were aware this was a possibility but had little concrete knowledge about company practices. When prompted about potential uses, participants were generally comfortable with research uses but had mixed outlooks on other nonresearch uses such as law enforcement, cloning, and product development. Most participants expressed that consent should be required for any secondary use, with the option to opt out. The most common suggestion for companies was to improve transparency. Compared to European American participants, African-American participants expressed more trust in DTC GT companies compared to healthcare providers, more concerns about law enforcement uses of data, and a stronger expression of community considerations.

Discussion/conclusion: This study found that African-American consumers of DTC GT had a positive outlook about genetic testing and were open to research and some nonresearch uses, provided that they were able to give informed consent. Participants in this study had little knowledge of company practices regarding secondary uses. Compared to an earlier cohort of European American participants, African-American participants expressed more concerns about medical and law enforcement communities' use of data and more reference to community engagement.

Introduction: Precision medicine research investigates the differences in individuals' genetics, environment, and lifestyle to tailor health prevention and treatment options as part of an emerging model of health care delivery. Advancing precision medicine research will require effective communication across a wide range of scientific and health care disciplines and with research participants who represent diverse segments of the population.

Methods: A multidisciplinary group convened over the course of a year and developed precision medicine research case examples to facilitate precision medicine research discussions with communities.

Results: A shared definition of precision medicine research as well as six case examples of precision medicine research involving genetic risk, pharmacogenetics, epigenetics, the microbiome, mobile health, and electronic health records were developed.

Discussion/conclusion: The precision medicine research definition and case examples can be used as planning tools to establish a shared understanding of the scope of precision medicine research across multidisciplinary teams and with the diverse communities in which precision medicine research will take place. This shared understanding is vital for successful and equitable progress in precision medicine.

Background: Broad participation in genetic research is needed to promote equitable advances in disease treatment and prevention.

Objectives: The objective of the study was to assess motivations for, and concerns about, genetic research participation.

Methods: The Genetics in Research and Health Care Survey was sent in winter 2017-2018 to 57,331 adult Kaiser Permanente (KP) members from 7 US regions to assess attitudes about genetic testing in health care and research. The survey included an open-ended question on why members would or would not participate in genetic research. Open text responses to this question were coded in the qualitative analysis software Dedoose and analyzed using a thematic analysis approach. Code summaries were organized by major themes, subthemes, and exemplary quotes.

Results: Of the 10,369 participants who completed the survey, 2,645 (25%) provided a comment describing reasons they would or would not participate in research involving genetic testing. Respondents who provided a text comment were 64% female, 49% non-Hispanic (NH) White, 17% Asian/Pacific Islander, 20% Hispanic, and 14% NH Black. The primary themes identified were (1) altruism; (2) decision-making and planning; (3) data use; and (4) data security. These major themes were consistent across each race and ethnic group.

Conclusions: To promote broad participation in genetic research, it is important that recruitment materials address the primary motivators for genetic research participation, including altruism and the potential use of results for personal decision-making. Study materials should also address concerns about possible misuse of genetic information and fears over potential data breaches.

Background: Polycystic ovary syndrome (PCOS) is a common heterogeneous disorder characterized by chronic anovulation, infertility, polycystic ovaries, and hyperandrogenic signs.

Objective: The aim of this study was to determine the association of luteinizing hormone/chorionic gonadotropin hormone receptor LHCGR polymorphism (rs2293275) with oligomenorrhea, amenorrhea, hirsutism, acne, infertility, LH, LH/FSH ratio, and body mass index (BMI) among PCOS females.

Methods: This genetic case-control study recruited 55 PCOS and 55 control females, diagnosed based on the Rotterdam criteria. LH and FSH were measured by the Roche cobas c 502 automated analyzer. Genotypic analysis was carried out using the polymerase chain reaction-restriction fragment length polymorphism and restriction endonuclease digestion.

Results: BMI was higher for PCOS patients (28.5 ± 6.59) compared to controls (25.1 ± 5.77), and ovulatory dysfunction was seen among 90% of PCOS females. Oligomenorrhea was common in PCOS (73%), and hirsutism and acne were detected in PCOS (80% and 40%; respectively). LH ≥10 were recoded among 51%, while LH/FSH ≥1.5 was recorded among 33% PCOS females. There is a statistical difference between rs2293275 polymorphism in the AG genotype between PCOS patients and controls. PCOS patients have a significantly higher mean LH level compared to controls (8.36 ± 4.86 and 5.67 ± 2.51, respectively) and showed higher LH/FSH value (1.46 ± 0.81) compared to (0.87 ± 0.30) controls. GG and AG genotypes of LHCGR showed statistically significant higher LH (8.22 ± 4.11; 9.02 ± 3.87) and LH/FSH values (1.57 ± 0.56; 1.64 ± 0.89) compared to controls.

Conclusion: LHCGR (rs2293275) GA and GG genetic variants could modulate the hormonal levels of PCOS LH levels and the LH/FSH ratio and associated with hirsutism, oligomenorrhea, BMI, and LH/FSH ratio as risk factors.

Introduction: Primary care providers (PCPs) and oncologists lack time and training to appropriately identify patients at increased risk for hereditary cancer using family health history (FHx) and clinical practice guideline (CPG) criteria. We built a tool, "ItRunsInMyFamily" (ItRuns) that automates FHx collection and risk assessment using CPGs. The purpose of this study was to evaluate ItRuns by measuring the level of concordance in referral patterns for genetic counseling/testing (GC/GT) between the CPGs as applied by the tool and genetic counselors (GCs), in comparison to oncologists and PCPs. The extent to which non-GCs are discordant with CPGs is a gap that health information technology, such as ItRuns, can help close to facilitate the identification of individuals at risk for hereditary cancer.

Methods: We curated 18 FHx cases and surveyed GCs and non-GCs (oncologists and PCPs) to assess concordance with ItRuns CPG criteria for referring patients for GC/GT. Percent agreement was used to describe concordance, and logistic regression to compare providers and the tool's concordance with CPG criteria.

Results: GCs had the best overall concordance with the CPGs used in ItRuns at 82.2%, followed by oncologists with 66.0% and PCPs with 60.6%. GCs were significantly more likely to concur with CPGs (OR = 4.04, 95% CI = 3.35-4.89) than non-GCs. All providers had higher concordance with CPGs for FHx cases that met the criteria for genetic counseling/testing than for cases that did not.

Discussion/conclusion: The risk assessment provided by ItRuns was highly concordant with that of GC's, particularly for at-risk individuals. The use of such technology-based tools improves efficiency and can lead to greater numbers of at-risk individuals accessing genetic counseling, testing, and mutation-based interventions to improve health.

Introduction: Warfarin is widely used and will continue to be prescribed especially in developing countries due to its low cost. Given the huge patient load requiring anticoagulation, there is a need to develop strategies to optimize warfarin therapy for ensuring safe and effective anticoagulation. In the present work, we aimed at elucidating the association of genetic and nongenetic variables with warfarin dose requirement in patients attending the cardiovascular clinic in a tertiary care center of North India.

Methods: This was a prospective study conducted over 1 year. Patient demographic and clinical details were captured in customized case record forms. Genotyping was done using the polymerase chain reaction-restriction fragment length polymorphism method. Pharmacogenetic influence of CYP2C9 (rs1799853 and rs1057910) and VKORC1 (rs9923231) variant alleles was studied. The association of genetic and nongenetic factors with warfarin dose was quantified using a stepwise multivariate linear regression model.

Results: Two hundred and forty patients were screened. Data from 82 eligible patients were used for quantifying the association of genetic and nongenetic factors with warfarin dose. A descriptive model based on CYP2C9*3 (rs1057910) and VKORC1 (rs9923231) variant alleles and BMI was developed. The model explains nearly half of the interindividual variation in warfarin dose requirement.

Conclusion: The model explains nearly half of the interindividual variation in warfarin dose in patients with atrial fibrillation and or requiring valve replacement.