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Abnormal changes in these base pairs, called single nucleotide polymorphisms, or SNPs, might be the root causes of most noninfectious human diseases, including cancer, diabetes, and cystic fibrosis.
This technique relies on datasets that compare single nucleotide polymorphisms—differences in DNA nucleotides that act as biological markers among individuals.
Using about 50 different variations — single-nucleotide polymorphisms (otherwise known as SNPs) — researchers created a risk score.
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