Biomedical subjects

Nina B Gold

Publications and source records attributed to Nina B Gold.

5 recordsLinked to original sources

PubMed2025

Operationalizing the Wilson-Jungner principles for the genomics era: Consensus recommendations from the International Consortium on Newborn Sequencing.

PURPOSE: For decades, the selection of disorders included in newborn screening (NBS) programs has been guided by principles published by Wilson and Jungner in 1968. As research explores the expansion of conditions included in NBS through genomic sequencing, there is a critical need for updated recommendations to address the opportunities and complexities of genomic data. METHODS: The International Consortium on Newborn Sequencing includes leaders from over 16 research projects investigating genomic NBS across the United Kingdom, Europe, United States, and Oceania. Consortium members were invited to participate in a modified Delphi study, aggregating opinion on the selection of conditions for genomic NBS through 3 rounds of online questionnaires, with feedback provided to participants between rounds. RESULTS: In round 1, 94 participants completed the questionnaire, and 10 of 43 statements reached consensus. In round 2, 81 participants completed the questionnaire, and 14 of 27 statements reached consensus. In round 3, 68 participants completed the questionnaire, and all 10 statements reached 72% or more consensus. CONCLUSION: The 10 consensus recommendations developed in this study can guide future research and public health programs performing genomic NBS. This process also identified key areas of participant discordance, highlighting important topics for future research.

Humans↗

PubMed2025

Data-driven consideration of genetic disorders for global genomic newborn screening programs.

PURPOSE: Over 30 international studies are exploring newborn sequencing (NBSeq) to expand the range of genetic disorders included in newborn screening. Substantial variability in gene selection across programs exists, highlighting the need for a systematic approach to prioritize genes. METHODS: We assembled a data set comprising 25 characteristics about each of the 4390 genes included in 27 NBSeq programs. We used regression analysis to identify several predictors of inclusion and developed a machine learning model to rank genes for public health consideration. RESULTS: Among 27 NBSeq programs, the number of genes analyzed ranged from 134 to 4299, with only 74 (1.7%) genes included by over 80% of programs. The most significant associations with gene inclusion across programs were presence on the US Recommended Uniform Screening Panel (inclusion increase of 74.7%, CI: 71.0%-78.4%), robust evidence on the natural history (29.5%, CI: 24.6%-34.4%), and treatment efficacy (17.0%, CI: 12.3%-21.7%) of the associated genetic disease. A boosted trees machine learning model using 13 predictors achieved high accuracy in predicting gene inclusion across programs (area under the curve = 0.915, R2 = 84%). CONCLUSION: The machine learning model developed here provides a ranked list of genes that can adapt to emerging evidence and regional needs, enabling more consistent and informed gene selection in NBSeq initiatives.

Humans↗

PubMed2025

Nonadherence to guidelines for genetic testing in families with ovarian cancer shows racial bias.

PURPOSE: The National Comprehensive Cancer Network (NCCN) recommends germline genetic testing for individuals at risk for hereditary ovarian cancer. We sought to determine the proportion and characteristics of individuals meeting testing criteria in a multicenter biobank who were appropriately offered testing. METHODS: In this retrospective cohort study, we identified Mass General Brigham Biobank participants meeting genetic testing criteria per NCCN guidelines. Logistic regression was used to analyze sociodemographic factors associated with which participants were offered testing, completed testing, and had a family history that matched their self-report documented in the electronic medical record. RESULTS: Most eligible participants (909/1441, 63.1%) were not offered genetic testing. Participants who were Black or Hispanic had a lower likelihood of being offered testing. Compared with self-report, 988 (68.6%) participants had a family history of ovarian cancer documented in their electronic medical record. Older age, Hispanic ethnicity, and public insurance use were associated with decreased likelihoods of accurate family history documentation. Correct documentation was associated with an increased likelihood of being offered testing. CONCLUSION: The majority of participants in this study did not receive NCCN-compliant care. Germline genetic testing for hereditary ovarian cancer screening is underutilized and access to this testing is currently inequitable.

Adult↗

PubMed2024

Upregulation versus loss of function of NTRK2 in 44 affected individuals leads to 2 distinct neurodevelopmental disorders.

PURPOSE: Heterozygous pathogenic variants in NTRK2 (HGNC: 8032) have been associated with global developmental delay. However, only scattered cases have been described in small or general studies. The aim of our work was to consolidate our understanding of NTRK2-related disorders and to delineate the clinical presentation. METHODS: We reported an extended cohort of 44 affected individuals, of whom 19 are from the literature and 25 were previously unreported. RESULTS: Our analysis led to splitting the cohort into 2 entities. CONCLUSION: One group had variants in the cholesterol-binding motif of the transmembrane domain, with most of these being the recurrent variant c.1301A>G p.(Tyr434Cys). These variants probably lead to upregulation of tropomyosin receptor kinase B activity and to a severe phenotype of developmental delay/intellectual disability, muscular hypotonia, therapy-refractory epilepsy, visual impairment and blindness, and feeding difficulties. The second group had truncating variants or variants that presumably disturb the 3D structure of the protein leading to loss of function. These individuals had a remarkably milder phenotype of developmental delay, obesity, and hyperphagia.

Humans↗

PubMed2024

Estimating the sensitivity of genomic newborn screening for treatable inherited metabolic disorders.

PURPOSE: Over 30 research groups and companies are exploring newborn screening using genomic sequencing (NBSeq), but the sensitivity of this approach is not well understood. METHODS: We identified individuals with treatable inherited metabolic disorders (IMDs) and ascertained the proportion whose DNA analysis revealed explanatory deleterious variants (EDVs). We examined variables associated with EDV detection and estimated the sensitivity of DNA-first NBSeq. We further predicted the annual rate of true-positive and false-negative NBSeq results in the United States for several conditions on the Recommended Uniform Screening Panel. RESULTS: We identified 635 individuals with 80 unique IMDs. In univariate analyses, Black race (OR = 0.37, 95% CI: 0.16-0.89, P = .02) and public insurance (OR = 0.60, 95% CI: 0.39-0.91, P = .02) were less likely to be associated with finding EDVs. Had all individuals been screened with NBSeq, the sensitivity would have been 80.3%. We estimated that between 0 and 649.9 cases of Recommended Uniform Screening Panel IMDs would be missed annually by NBSeq in the United States. CONCLUSION: The overall sensitivity of NBSeq for treatable IMDs is estimated at 80.3%. That sensitivity will likely be lower for Black infants and those who are on public insurance.

Humans↗