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Matalon DR, Zepeda-Mendoza CJ, Aarabi M, Brown K, Fullerton SM, Kaur S, Quintero-Rivera F, Vatta M. Clinical, technical, and environmental biases influencing equitable access to clinical genetics/genomics testing: A points to consider statement of the American College of Medical Genetics and Genomics (ACMG). Genet Med 2023; 25:100812. [PMID: 37058144 DOI: 10.1016/j.gim.2023.100812] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2023] [Accepted: 02/07/2023] [Indexed: 04/15/2023] Open
Affiliation(s)
- Dena R Matalon
- Division of Medical Genetics, Department of Pediatrics, Stanford Medicine, Stanford University, Stanford, CA
| | - Cinthya J Zepeda-Mendoza
- Divisions of Hematopathology and Laboratory Genetics and Genomics, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN
| | - Mahmoud Aarabi
- UPMC Medical Genetics and Genomics Laboratories, UPMC Magee-Womens Hospital, Pittsburgh, PA; Departments of Pathology and Obstetrics, Gynecology and Reproductive Sciences, University of Pittsburgh School of Medicine, Pittsburgh, PA
| | | | - Stephanie M Fullerton
- Division of Medical Genetics, Department of Medicine, University of Washington School of Medicine, Seattle, WA; Department of Bioethics & Humanities, University of Washington School of Medicine, Seattle, WA
| | - Shagun Kaur
- Department of Child Health, Phoenix Children's Hospital, University of Arizona College of Medicine-Phoenix, Phoenix, AZ
| | - Fabiola Quintero-Rivera
- Division of Genetic and Genomic Medicine, Departments of Pathology, Laboratory Medicine, and Pediatrics, University of California Irvine, Irvine, CA
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Haga SB, Orlando LA. Expanding Family Health History to Include Family Medication History. J Pers Med 2023; 13:jpm13030410. [PMID: 36983592 PMCID: PMC10053261 DOI: 10.3390/jpm13030410] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2023] [Revised: 02/13/2023] [Accepted: 02/22/2023] [Indexed: 03/02/2023] Open
Abstract
The collection of family health history (FHH) is an essential component of clinical practice and an important piece of data for patient risk assessment. However, family history data have generally been limited to diseases and have not included medication history. Family history was a key component of early pharmacogenetic research, confirming the role of genes in drug response. With the substantial number of known pharmacogenes, many affecting response to commonly prescribed medications, and the availability of clinical pharmacogenetic (PGx) tests and guidelines for interpretation, the collection of family medication history can inform testing decisions. This paper explores the roots of family-based pharmacogenetic studies to confirm the role of genes in these complex phenotypes and the benefits and challenges of collecting family medication history as part of family health history intake.
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Chavez-Yenter D, Goodman MS, Chen Y, Chu X, Bradshaw RL, Lorenz Chambers R, Chan PA, Daly BM, Flynn M, Gammon A, Hess R, Kessler C, Kohlmann WK, Mann DM, Monahan R, Peel S, Kawamoto K, Del Fiol G, Sigireddi M, Buys SS, Ginsburg O, Kaphingst KA. Association of Disparities in Family History and Family Cancer History in the Electronic Health Record With Sex, Race, Hispanic or Latino Ethnicity, and Language Preference in 2 Large US Health Care Systems. JAMA Netw Open 2022; 5:e2234574. [PMID: 36194411 PMCID: PMC9533178 DOI: 10.1001/jamanetworkopen.2022.34574] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/01/2022] [Accepted: 08/12/2022] [Indexed: 11/14/2022] Open
Abstract
Importance Clinical decision support (CDS) algorithms are increasingly being implemented in health care systems to identify patients for specialty care. However, systematic differences in missingness of electronic health record (EHR) data may lead to disparities in identification by CDS algorithms. Objective To examine the availability and comprehensiveness of cancer family history information (FHI) in patients' EHRs by sex, race, Hispanic or Latino ethnicity, and language preference in 2 large health care systems in 2021. Design, Setting, and Participants This retrospective EHR quality improvement study used EHR data from 2 health care systems: University of Utah Health (UHealth) and NYU Langone Health (NYULH). Participants included patients aged 25 to 60 years who had a primary care appointment in the previous 3 years. Data were collected or abstracted from the EHR from December 10, 2020, to October 31, 2021, and analyzed from June 15 to October 31, 2021. Exposures Prior collection of cancer FHI in primary care settings. Main Outcomes and Measures Availability was defined as having any FHI and any cancer FHI in the EHR and was examined at the patient level. Comprehensiveness was defined as whether a cancer family history observation in the EHR specified the type of cancer diagnosed in a family member, the relationship of the family member to the patient, and the age at onset for the family member and was examined at the observation level. Results Among 144 484 patients in the UHealth system, 53.6% were women; 74.4% were non-Hispanic or non-Latino and 67.6% were White; and 83.0% had an English language preference. Among 377 621 patients in the NYULH system, 55.3% were women; 63.2% were non-Hispanic or non-Latino, and 55.3% were White; and 89.9% had an English language preference. Patients from historically medically undeserved groups-specifically, Black vs White patients (UHealth: 17.3% [95% CI, 16.1%-18.6%] vs 42.8% [95% CI, 42.5%-43.1%]; NYULH: 24.4% [95% CI, 24.0%-24.8%] vs 33.8% [95% CI, 33.6%-34.0%]), Hispanic or Latino vs non-Hispanic or non-Latino patients (UHealth: 27.2% [95% CI, 26.5%-27.8%] vs 40.2% [95% CI, 39.9%-40.5%]; NYULH: 24.4% [95% CI, 24.1%-24.7%] vs 31.6% [95% CI, 31.4%-31.8%]), Spanish-speaking vs English-speaking patients (UHealth: 18.4% [95% CI, 17.2%-19.1%] vs 40.0% [95% CI, 39.7%-40.3%]; NYULH: 15.1% [95% CI, 14.6%-15.6%] vs 31.1% [95% CI, 30.9%-31.2%), and men vs women (UHealth: 30.8% [95% CI, 30.4%-31.2%] vs 43.0% [95% CI, 42.6%-43.3%]; NYULH: 23.1% [95% CI, 22.9%-23.3%] vs 34.9% [95% CI, 34.7%-35.1%])-had significantly lower availability and comprehensiveness of cancer FHI (P < .001). Conclusions and Relevance These findings suggest that systematic differences in the availability and comprehensiveness of FHI in the EHR may introduce informative presence bias as inputs to CDS algorithms. The observed differences may also exacerbate disparities for medically underserved groups. System-, clinician-, and patient-level efforts are needed to improve the collection of FHI.
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Affiliation(s)
- Daniel Chavez-Yenter
- Huntsman Cancer Institute, University of Utah, Salt Lake City
- Department of Communication, University of Utah, Salt Lake City
| | - Melody S. Goodman
- School of Global Public Health, New York University, New York, New York
| | - Yuyu Chen
- School of Global Public Health, New York University, New York, New York
| | - Xiangying Chu
- School of Global Public Health, New York University, New York, New York
| | - Richard L. Bradshaw
- Department of Biomedical Informatics, University of Utah, Salt Lake City
- School of Medicine, University of Utah Health, Salt Lake City, Utah
| | | | | | - Brianne M. Daly
- Huntsman Cancer Institute, University of Utah, Salt Lake City
| | - Michael Flynn
- School of Medicine, University of Utah Health, Salt Lake City, Utah
| | - Amanda Gammon
- Huntsman Cancer Institute, University of Utah, Salt Lake City
| | - Rachel Hess
- Department of Population Health Sciences, University of Utah, Salt Lake City
- Department of Internal Medicine, University of Utah, Salt Lake City
| | - Cecelia Kessler
- Huntsman Cancer Institute, University of Utah, Salt Lake City
| | | | - Devin M. Mann
- Department of Population Health, New York University Grossman School of Medicine, New York University, New York, New York
| | - Rachel Monahan
- Perlmutter Cancer Center, NYU Langone Health, New York, New York
- Department of Population Health, New York University Grossman School of Medicine, New York University, New York, New York
| | - Sara Peel
- Huntsman Cancer Institute, University of Utah, Salt Lake City
| | - Kensaku Kawamoto
- Department of Biomedical Informatics, University of Utah, Salt Lake City
| | - Guilherme Del Fiol
- Department of Biomedical Informatics, University of Utah, Salt Lake City
| | | | - Saundra S. Buys
- Huntsman Cancer Institute, University of Utah, Salt Lake City
- Department of Internal Medicine, University of Utah, Salt Lake City
| | - Ophira Ginsburg
- Center for Global Health, National Cancer Institute, Rockville, Maryland
| | - Kimberly A. Kaphingst
- Huntsman Cancer Institute, University of Utah, Salt Lake City
- Department of Communication, University of Utah, Salt Lake City
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Mesaros M, Lenz S, Lim W, Brown J, Drury L, Roggenbuck J. Investigating the Genetic Profile of the Amyotrophic Lateral Sclerosis/Frontotemporal Dementia (ALS-FTD) Continuum in Patients of Diverse Race, Ethnicity and Ancestry. Genes (Basel) 2021; 13:genes13010076. [PMID: 35052416 PMCID: PMC8775163 DOI: 10.3390/genes13010076] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2021] [Revised: 12/20/2021] [Accepted: 12/21/2021] [Indexed: 11/24/2022] Open
Abstract
Preliminary evidence suggests that commonly used genetic tests may be less likely to identify a genetic etiology for ALS-FTD in patients of underrepresented race, ethnicity, and ancestry (REA), as compared to European REA. Patients of underrepresented REA may therefore be less likely to receive accurate and specific genetic counseling information and less likely to have access to gene-targeted therapies currently in clinical trials. We compiled outcome data from 1911 ALS-FTD patients tested at a commercial laboratory over a seven-year period for C9orf72 hexanucleotide repeat expansion (HRE) alone or C9orf72 and multigene sequencing panel testing. We compared the incidence of pathogenic (P), likely pathogenic (LP), and uncertain variants in C9orf72 and other ALS-FTD genes, as well as age at testing, in patients of different REA. The diagnostic rate in patients of European REA (377/1595, 23.64%) was significantly higher than in patients of underrepresented REA (44/316, 13.92%) (p < 0.001). Patients of European REA were more likely to have the C9orf72 HRE (21.3%) than patients of underrepresented REA (10.4%) (p < 0.001). The overall distribution of positive test outcomes in all tested genes was significantly different between the two groups, with relatively more P and LP variants in genes other than C9orf72 identified in patients of underrepresented REA. The incidence of uncertain test outcomes was not significantly different between patients of European and underrepresented REA. Patients with positive test outcomes were more likely to be younger than those with negative or uncertain outcomes. Although C9orf72 HRE assay has been advocated as the first, and in some cases, only genetic test offered to patients with ALS-FTD in the clinical setting, this practice may result in the reduced ascertainment of genetic ALS-FTD in patients of diverse REA.
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Affiliation(s)
- Maysen Mesaros
- Department of Internal Medicine, The Ohio State University Wexner Medical Center, Columbus, OH 43212, USA; (J.B.); (J.R.)
- Division of Neuroscience, Medical University of South Carolina, Charleston, SC 29425, USA
- Correspondence:
| | - Steven Lenz
- PreventionGenetics, Marshfield, WI 54449, USA; (S.L.); (L.D.)
| | - Woobeen Lim
- Division of Biostatistics, College of Public Health, The Ohio State University, Columbus, OH 43210, USA;
| | - Jordan Brown
- Department of Internal Medicine, The Ohio State University Wexner Medical Center, Columbus, OH 43212, USA; (J.B.); (J.R.)
| | - Luke Drury
- PreventionGenetics, Marshfield, WI 54449, USA; (S.L.); (L.D.)
| | - Jennifer Roggenbuck
- Department of Internal Medicine, The Ohio State University Wexner Medical Center, Columbus, OH 43212, USA; (J.B.); (J.R.)
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de la Haye K, Whitted C, Koehly LM. Formative Evaluation of the Families SHARE Disease Risk Tool among Low-Income African Americans. Public Health Genomics 2021; 24:280-290. [PMID: 34233327 DOI: 10.1159/000517309] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2021] [Accepted: 05/18/2021] [Indexed: 11/19/2022] Open
Abstract
INTRODUCTION Family Health Histories (FHH) have been endorsed by the surgeon general as a powerful yet underutilized tool for identifying individuals at risk for complex chronic diseases such as diabetes, heart disease, and cancer. FHH tools provide a mechanism for increasing communication about disease history and motivating behavior change to reduce disease risk. A critical gap in translation efforts includes a lack of research that adapts and evaluates tools for low-income, minority populations who experience disparities in chronic disease. METHODS This study is a formative mixed-methods evaluation of an evidence-based FHH intervention called "Families SHARE" among African Americans residing in low-income neighborhoods. Participants (N = 51) completed assessments before and 6 weeks after receiving the intervention, including surveys and focus groups. We evaluated (a) their use, understanding, and perceived value of the tool; (b) if the intervention led to increased intentions to adopt disease risk-reducing behaviors among those with heightened disease risk, given their FHH; and (c) acceptability of and recommendations for the tool. RESULTS The quantitative and qualitative data indicated that this population valued and used the tool, and it prompted communication about FHH with family, friends, and others. Receipt of the intervention resulted in mixed accuracy of their perceived disease risk, and it did not shift intentions to change health behaviors. Qualitative data provide insights for future iterations of the Families SHARE tool. CONCLUSION Families SHARE is an engaging FHH tool that can be further tailored to optimize its value and benefits for low-income African Americans.
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Affiliation(s)
- Kayla de la Haye
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
| | - Calandra Whitted
- Social and Behavioral Research Branch, National Human Genome Research Institute, Bethesda, Maryland, USA.,Behavioral Sciences and Health Education, Florida A&M University, Tallahassee, Florida, USA
| | - Laura M Koehly
- Social and Behavioral Research Branch, National Human Genome Research Institute, Bethesda, Maryland, USA
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Modernizing family health history: achievable strategies to reduce implementation gaps. J Community Genet 2021; 12:493-496. [PMID: 34028705 DOI: 10.1007/s12687-021-00531-6] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2021] [Accepted: 05/02/2021] [Indexed: 10/21/2022] Open
Abstract
Family health history (FHH) is a valuable yet underused healthcare tool for assessing health risks for both prevalent disorders like diabetes, cancer, and cardiovascular diseases, and for rare, monogenic disorders. Full implementation of FHH collection and analysis in healthcare could improve both primary and secondary disease prevention for individuals and, through cascade testing, make at risk family members eligible for pre-symptomatic testing and preventative interventions. In addition to risk assessment in the clinic, FHH is increasingly important for interpreting clinical genetic testing results and for research connecting health risks to genomic variation. Despite this value, diverse implementation gaps in clinical settings undermine its potential clinical value and limit the quality of connected health and genomic data. The NHGRI Family Health History Group, an open-membership, US-based group with international members, believes that integrating FHH in healthcare and research is more important than ever, and that achievable implementation advances, including education, are urgently needed to boost the pace of translational utility in genomic medicine. An inventory of implementation gaps and proposed achievable strategies to address them, representing a consensus developed in meetings from 2019-2020, is presented here. The proposed measures are diverse, interdisciplinary, and are guided by experience and ongoing implementation and research efforts.
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Cain KS, Cohen GM, Skelton JA, Crawford LV, Brown CL. Assessing Parents' Communication of Weight and Weight Management from Clinic to Home. Child Obes 2020; 16:510-519. [PMID: 32744874 PMCID: PMC7575346 DOI: 10.1089/chi.2019.0207] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
Background: Family-oriented therapies are the gold standard of childhood obesity treatment, yet little is known about if or how information gathered by one parent from a health care provider is translated to the home. We assessed how families of children and adolescents with overweight and obesity communicate weight-related information received from their provider to family members not present at the visit. Methods: Parents and children (9-18 years old, N = 112) completed the McMaster's Family Assessment Device Communication Subscale (FADc) and investigator-derived questions describing weight-related communication practices with family members. We used descriptive statistics to describe communication practices and separate logistic regression models to assess associations of communication practices with parent-reported FADc, child BMI z-score, child sex, parent BMI, household income, and site. Results: Most parents discuss with other family members: their child's weight (60.4%) or weight management discussions with the child's provider (57.9%). Median parent FADc score was 2.0 (IQR 0.5). The most common facilitator to weight-related conversations was understanding what the provider said (95.1%). Higher FADc score (worse communication) was associated with whether parents ask other family members' opinions about weight information received from their child's provider [odds ratio 0.22 (95% confidence interval 0.05-0.99)]. Higher income was associated with many healthy communication practices. Conclusions: Slightly more than half of parents discuss with family members what their provider said regarding their child's weight. More effort must be placed on aiding parents in relaying information from the provider to other family members in the home to encourage family lifestyle changes and alleviate childhood obesity.
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Affiliation(s)
- Kathryn S. Cain
- Wake Forest School of Medicine, Bowman Gray Center, Winston-Salem, NC, USA
| | - Gail M. Cohen
- Department of Pediatrics, Wake Forest School of Medicine, Medical Center Boulevard, Winston-Salem, NC, USA
- Brenner FIT (Families in Training) Program, Brenner Children's Hospital, Medical Center Boulevard, Winston-Salem, NC, USA
| | - Joseph A. Skelton
- Department of Pediatrics, Wake Forest School of Medicine, Medical Center Boulevard, Winston-Salem, NC, USA
- Brenner FIT (Families in Training) Program, Brenner Children's Hospital, Medical Center Boulevard, Winston-Salem, NC, USA
- Division of Public Health Sciences, Department of Epidemiology and Prevention, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Lauren V. Crawford
- Wake Forest School of Medicine, Bowman Gray Center, Winston-Salem, NC, USA
| | - Callie L. Brown
- Department of Pediatrics, Wake Forest School of Medicine, Medical Center Boulevard, Winston-Salem, NC, USA
- Division of Public Health Sciences, Department of Epidemiology and Prevention, Wake Forest School of Medicine, Winston-Salem, NC, USA
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Haga SB, Orlando LA. The enduring importance of family health history in the era of genomic medicine and risk assessment. Per Med 2020; 17:229-239. [PMID: 32320338 DOI: 10.2217/pme-2019-0091] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
Improving disease risk prediction and tailoring preventive interventions to patient risk factors is one of the primary goals of precision medicine. Family health history is the traditional approach to quickly gather genetic and environmental data relevant to the patient. While the utility of family health history is well-documented, its utilization is variable, in part due to lack of patient and provider knowledge and incomplete or inaccurate data. With the advances and reduced costs of sequencing technologies, comprehensive sequencing tests can be performed as a risk assessment tool. We provide an overview of each of these risk assessment approaches, the benefits and limitations and implementation challenges.
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Affiliation(s)
- Susanne B Haga
- Center for Applied Genomics & Precision Medicine, Duke University School of Medicine, 101 Science Drive, Box 3382, Durham, NC 27708, USA
| | - Lori A Orlando
- Center for Applied Genomics & Precision Medicine, Duke University School of Medicine, 101 Science Drive, Box 3382, Durham, NC 27708, USA
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Hood SM. Enhancing cultural considerations in networks and health: a commentary on racial differences in family health history knowledge and interpersonal mechanisms. Transl Behav Med 2018; 8:550-553. [PMID: 30016526 DOI: 10.1093/tbm/iby062] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2023] Open
Abstract
In this commentary, I commend and expand upon the article of Lin et al., "Racial differences in family health history knowledge of type 2 diabetes: exploring the role of interpersonal mechanisms." In particular, the commentary discusses the role and importance of culture in family health history communication, as this topic is very relevant to Lin and colleagues' primary finding that in comparison to their White counterparts, African American families had uneven distributions of family health history knowledge due to them having fewer reciprocal health communication ties. I offer insights and suggestions regarding cultural influences on family health communication and the importance of incorporating cultural considerations in family networks studies. I also provide perspective on the translation of family networks and health study findings into the types of culturally appropriate interventions needed to activate family health history communication in racial and ethnic minority families. Information discussed has implications for future efforts seeking to reduce racial and ethnic disparities in family health history communication and knowledge.
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Affiliation(s)
- Sula M Hood
- Department of Social and Behavioral Sciences, Indiana University Richard M. Fairbanks School of Public Health, Indianapolis, IN
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