Genomic Screening Identifies Individuals at High Risk for Hereditary Transthyretin Amyloidosis.
Genomic Screening Identifies Individuals at High Risk for Hereditary Transthyretin Amyloidosis.
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DOI:
10.3390/jpm11010049
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发表时间:
2021-01-15
影响因子:
--
通讯作者:
Abul-Husn NS
中科院分区:
文献类型:
--
作者:
Soper ER;Suckiel SA;Braganza GT;Kontorovich AR;Kenny EE;Abul-Husn NS
The TTR V142I variant associated with hereditary transthyretin amyloidosis (hATTR) is present in up to 4% of African American (AA) and 1% of Hispanic/Latinx (HL) individuals and increases risk for heart failure. Delayed and missed diagnoses could potentiate health disparities in these populations. We evaluated whether population-based genomic screening could effectively identify individuals at risk for hATTR and prompt initiation of risk management. We identified participants of the BioMe Biobank in New York City who received TTR V142I results through a pilot genomic screening program. We performed a retrospective medical record review to evaluate for the presence hATTR-related systemic features, uptake of recommended follow-up, and short-term outcomes. Thirty-two AA (N = 17) and HL (N = 15) individuals received a TTR V142I result (median age 57, 81% female). None had a previous diagnosis of hATTR. Eighteen (56%) had hATTR-related systemic features, including 4 (13%) with heart failure, 10 (31%) with carpal tunnel syndrome, and 10 (31%) with spinal stenosis. Eighteen (56%) pursued follow-up with a cardiologist within 8 months. One person received a diagnosis of hATTR. Thus, we found that the majority of V142I-positive individuals had hATTR-related systemic features at the time of result disclosure, including well-described red flags. Genomic screening can help identify hATTR risk and guide management early on, avoiding potential delays in diagnosis and treatment.
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影响因子:
4.4
作者:
Hawkins PN;Ando Y;Dispenzeri A;Gonzalez-Duarte A;Adams D;Suhr OB
通讯作者:
Suhr OB
DOI:
10.1038/gim.2016.200
发表时间:
2017-07
期刊:
Genetics in medicine : official journal of the American College of Medical Genetics
影响因子:
--
作者:
Buxbaum JN;Ruberg FL
通讯作者:
Ruberg FL
影响因子:
37.8
作者:
Gillmore, Julian D.;Maurer, Mathew S.;Hawkins, Philip N.
通讯作者:
Hawkins, Philip N.
影响因子:
120.7
作者:
Damrauer, Scott M.;Chaudhary, Kumardeep;Do, Ron
通讯作者:
Do, Ron
影响因子:
4.8
作者:
Buxbaum, Joel;Alexander, Alice;Kitzman, Dalane
通讯作者:
Kitzman, Dalane