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Shankar Balasubramanian is a Cambridge chemist who co-developed a widely used method for sequencing DNA at large scale. He shared the 2026 Wolf Prize in Chemistry with David Klenerman and Pascal Mayer for developing “impactful, low-cost, large-scale DNA sequencing methods for genomic medicine.”
Who is Shankar Balasubramanian?
Balasubramanian was born in Madras, now Chennai, India, in 1966. He moved to Britain with his family as a baby, grew up in rural Cheshire, and studied Natural Sciences at the University of Cambridge. Though he initially had an interest in mathematics, he went on to pursue chemistry. The Wolf Foundation lists his award-time affiliation as the University of Cambridge.
His best-known contribution is the Solexa-Illumina approach to next-generation DNA sequencing, which he developed with Cambridge colleague David Klenerman. Their work turned a way of observing DNA-copying enzymes into a method for reading DNA sequence at much greater scale.
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The Wolf Foundation named Balasubramanian, Klenerman, and Pascal Mayer joint laureates of the 2026 Wolf Prize in Chemistry. The European Research Council confirmed the shared award on 2 October 2026. Its citation recognizes their development of “impactful, low-cost, large-scale DNA sequencing methods for genomic medicine.”
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The prize recognizes the sequencing methods and their significance, not a claim that Balasubramanian alone created every application that followed. The technology has supported work in population-scale genomics, medicine, crop science, environmental science, and pandemic surveillance.
What did Balasubramanian and Klenerman develop?
Older sequencing approaches read DNA in a more serial fashion. Next-generation sequencing instead reads many DNA fragments in parallel. In the Solexa-Illumina method described by Cambridge, fragments are fixed to a chip and their bases are read one by one using fluorescently labelled nucleotides added by an enzyme. Processing many fragments together enabled faster, larger-scale sequencing than reading sequences one at a time.
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Cambridge recounts that Balasubramanian and Klenerman began by asking how they could observe an enzyme copying DNA. They realized that following the copying process could also reveal the sequence. They then co-founded Solexa to develop the technique.
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The technology’s reach is illustrated by two figures Cambridge has reported, with important qualifications:
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- Cambridge’s institutional retrospective says the Solexa-Illumina technology is thought to account for as much as 90% of the world’s DNA and RNA sequencing. This is the university’s estimate; it is not an independently verified current market-share figure.
- The same Cambridge feature describes a Guinness Book of Records case in which a child’s genetic disorder was diagnosed in 20 hours and 10 minutes using the genomes of the child and both parents. The feature does not establish whether that record remains current.
Why parallel sequencing matters
Reading many fragments at once changes the scale at which researchers can study genomes. It has helped make large-scale sequencing useful not only in genomic medicine but also in population studies and research on crops, environments, and infectious-disease outbreaks. These are broad impacts of the technology; they should not be read as outcomes attributable to one scientist alone.
Balasubramanian told Cambridge, “The impact and breadth of utility of this technology has gone way beyond my imagination, and it’s still in its infancy.” Klenerman described the clinical significance of the work after learning that their technology had been used to sequence and treat a baby born with a rare disease: “I realised, wow, it’s not just a technology for scientists, it’s actually a technology that can make a difference.”
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Is the 2026 prize for a newer sequencing method?
No. The award is for the development of the large-scale sequencing methods associated with Solexa and Illumina. Cambridge’s profile also lists a research-news item dated 5 August 2026 about a new sequencing method for revealing epigenetic information, but that is separate recent research coverage—not the technology named in the Wolf Prize citation.
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