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Multi-ancestry polygenic mechanisms of type 2 diabetes

  • Kirk Smith,
  • Aaron J. Deutsch,
  • Carolyn McGrail,
  • Hyunkyung Kim,
  • Sarah Hsu,
  • Alicia Huerta-Chagoya,
  • Ravi Mandla,
  • Philip H. Schroeder,
  • Kenneth E. Westerman,
  • Lukasz Szczerbinski,
  • Timothy D. Majarian,
  • Varinderpal Kaur,
  • Alice Williamson,
  • Noah Zaitlen,
  • Melina Claussnitzer,
  • Jose C. Florez,
  • Alisa K. Manning,
  • Josep M. Mercader,
  • Kyle J. Gaulton,
  • Miriam S. Udler

摘要

Type 2 diabetes (T2D) is a multifactorial disease with substantial genetic risk, for which the underlying biological mechanisms are not fully understood. In this study, we identified multi-ancestry T2D genetic clusters by analyzing genetic data from diverse populations in 37 published T2D genome-wide association studies representing more than 1.4 million individuals. We implemented soft clustering with 650 T2D-associated genetic variants and 110 T2D-related traits, capturing known and novel T2D clusters with distinct cardiometabolic trait associations across two independent biobanks representing diverse genetic ancestral populations (African, n = 21,906; Admixed American, n = 14,410; East Asian, n =2,422; European, n = 90,093; and South Asian, n = 1,262). The 12 genetic clusters were enriched for specific single-cell regulatory regions. Several of the polygenic scores derived from the clusters differed in distribution among ancestry groups, including a significantly higher proportion of lipodystrophy-related polygenic risk in East Asian ancestry. T2D risk was equivalent at a body mass index (BMI) of 30 kg m2 in the European subpopulation and 24.2 (22.9–25.5) kg m2 in the East Asian subpopulation; after adjusting for cluster-specific genetic risk, the equivalent BMI threshold increased to 28.5 (27.1–30.0) kg m2 in the East Asian group. Thus, these multi-ancestry T2D genetic clusters encompass a broader range of biological mechanisms and provide preliminary insights to explain ancestry-associated differences in T2D risk profiles.