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Return of genome-informed risk-assessment results for common conditions to 23,840 adults and children: An eMERGE network study.

1/5 보강
American journal of human genetics 2026 Vol.113(4) p. 678-691
Retraction 확인
출처

PICO 자동 추출 (휴리스틱, conf 3/4)

유사 논문
P · Population 대상 환자/모집단
840 participants (ages 3-75) across ten clinical sites.
I · Intervention 중재 / 시술
high-risk results, most (76%) for a single condition
C · Comparison 대조 / 비교
추출되지 않음
O · Outcome 결과 / 결론
Among variables potentially impacting return success, homeownership, "good health," highest education level, and lack of health insurance all were significantly associated with successful 1:1 return with large effect sizes. This study demonstrates the feasibility of large-scale GIRA return in diverse clinical settings and highlights barriers that may impact equitable delivery of high-risk results.

Lawson LP, Prows CA, Cortopassi J, Davis KW, Head M, Martin LJ, Perez EF, Sobowale A, Abul-Husn NS, Bangash H, Bland HT, Bonini KE, Chisholm RL, Chung WK, Cimino JJ, Connolly JJ, Crosslin DR, Freimuth RR, Goff B, Gordon AS, Hakonarson H, Harr MH, Henricks E, Hernandez V, Hoell C, Holm IA, Hripcsak G, Karlson EW, Kenny EE, Khan A, Kiryluk K, Kottyan LC, Lennon NJ, Limdi N, Linder JE, Liu C, Manolio TA, Maradik MA, Marathe PN, Maripuri DP, McNally EM, Murphy SN, Naderian M, Namjou B, Odgis JA, Peterson JF, Pineda-Alvarez DE, Puckelwartz M, Purcell J, Rasmussen-Torvik LJ, Roden DM, Rosenthal EA, Rowley R, Sabatello M, Scherr CL, Shaibi GQ, Sharp RR, Smoller JW, Sterling R, Suckiel SA, Terek S, Ting YL, Velez Edwards DR, Walunas TL, Wei WQ, Weng C, Wiesner GL, Xian S, Jarvik GP, Kullo I

📝 환자 설명용 한 줄

Incorporating genetic risk factors to assess health risk and inform screening is critical for advancing precision medicine.

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BibTeX ↓ RIS ↓
APA Lawson LP, Prows CA, et al. (2026). Return of genome-informed risk-assessment results for common conditions to 23,840 adults and children: An eMERGE network study.. American journal of human genetics, 113(4), 678-691. https://doi.org/10.1016/j.ajhg.2026.02.016
MLA Lawson LP, et al.. "Return of genome-informed risk-assessment results for common conditions to 23,840 adults and children: An eMERGE network study.." American journal of human genetics, vol. 113, no. 4, 2026, pp. 678-691.
PMID 41875895

Abstract

Incorporating genetic risk factors to assess health risk and inform screening is critical for advancing precision medicine. The Electronic Medical Records and Genomics (eMERGE) Network conducted a large-scale study returning genome-informed risk assessments (GIRAs) to 23,840 participants (ages 3-75) across ten clinical sites. Risk for 11 common conditions was assessed using polygenic risk scores (PRSs), monogenic variants, and family history, with results placed in the electronic health record and returned to participants. Non-high-risk and family history-only high-risk results were delivered via patient portal, secure email, or mail. High-risk results involving PRSs, monogenic variants, or BOADICEAs (integrated breast cancer risk scores) were attempted to be returned one-on-one (1:1) via phone, video, or in person. Here, we evaluate the frequency and drivers of high-risk GIRAs, the feasibility of completing 1:1 returns, and factors associated with completing 1:1 delivery. Nearly 35% of participants (8,305) received high-risk results, most (76%) for a single condition. The most common triggers were family history and high PRS. Of those with high-risk GIRAs, 4,911 qualified for 1:1 return, with return completion rates equaling 78.5% for adults and 67.5% for children. The primary barrier to completing a 1:1 return session was the inability to contact participants. Among variables potentially impacting return success, homeownership, "good health," highest education level, and lack of health insurance all were significantly associated with successful 1:1 return with large effect sizes. This study demonstrates the feasibility of large-scale GIRA return in diverse clinical settings and highlights barriers that may impact equitable delivery of high-risk results.

MeSH Terms

Humans; Adult; Child; Female; Male; Adolescent; Middle Aged; Risk Assessment; Child, Preschool; Aged; Young Adult; Electronic Health Records; Genetic Predisposition to Disease; Genetic Testing; Genome, Human; Genomics; Risk Factors