GENOMICS
Reimagining newborn screening: the future of population health
As new technologies emerge, integrated, automated genomic workflows are set to revolutionise newborn screening. Here, Madhuri Hegde considers the transformative potential of these new advances, along with the ethical and policy frameworks required for responsible implementation.
Newborn screening (NBS) stands as one of the most successful public health initiatives of the 20th Century, credited with saving countless lives through early identification of treatable conditions. The current gold standard of NBS includes techniques such
as biochemical assays and targeted molecular testing, which have enabled clinicians to initiate, identify and guide life-saving interventions for disorders such as phenylketonuria (PKU). With the expansion of genomic disease knowledge, it is becoming increasingly
clear that traditional gold standard screening methods are unable to identify and diagnose many newer childhood onset genetic conditions.
Genomic technologies – particularly whole genome sequencing (WGS) – are emerging as powerful tools that can broaden the scope, accuracy and impact of NBS programmes. These technologies enable the detection of hundreds of rare inherited conditions before symptoms arise, presenting opportunities for timely intervention, improving not only long-term health outcomes and better use of scarce healthcare funding. At the forefront of this transformation
The Newborn Genomes Programme, led by Genomics England, plans to sequence up to 100,000 genomes to identify more than 200 rare but actionable genetic conditions.
WWW.PATHOLOGYINPRACTICE.COM SEPTEMBER 2025
is Revvity, leveraging its global clinical laboratory testing expertise and advanced capabilities in DNA extraction on difficult samples such as dried blood spots (DBS) and PCR free WGS workflow at its CAP and ISO15189-certified facility in Manchester. As a key partner in the Genomics England Generation Study – which aims to sequence 100,000 newborn genomes – Revvity is demonstrating how high-throughput, automated genomic workflows can enable earlier, more accurate detection of over 200 rare genetic conditions.1 This article explores how integrated, automated genomic workflows are revolutionising NBS, its transformative potential in clinical care and population health, the ethical and logistical
23
AdobeStock / Kanishka
Page 1 |
Page 2 |
Page 3 |
Page 4 |
Page 5 |
Page 6 |
Page 7 |
Page 8 |
Page 9 |
Page 10 |
Page 11 |
Page 12 |
Page 13 |
Page 14 |
Page 15 |
Page 16 |
Page 17 |
Page 18 |
Page 19 |
Page 20 |
Page 21 |
Page 22 |
Page 23 |
Page 24 |
Page 25 |
Page 26 |
Page 27 |
Page 28 |
Page 29 |
Page 30 |
Page 31 |
Page 32 |
Page 33 |
Page 34 |
Page 35 |
Page 36 |
Page 37 |
Page 38 |
Page 39 |
Page 40 |
Page 41 |
Page 42 |
Page 43 |
Page 44 |
Page 45 |
Page 46 |
Page 47 |
Page 48 |
Page 49 |
Page 50 |
Page 51 |
Page 52 |
Page 53 |
Page 54 |
Page 55 |
Page 56 |
Page 57 |
Page 58 |
Page 59 |
Page 60 |
Page 61 |
Page 62 |
Page 63 |
Page 64 |
Page 65 |
Page 66 |
Page 67 |
Page 68 |
Page 69 |
Page 70 |
Page 71 |
Page 72 |
Page 73 |
Page 74 |
Page 75 |
Page 76 |
Page 77 |
Page 78 |
Page 79 |
Page 80 |
Page 81 |
Page 82 |
Page 83 |
Page 84