4.8 Article

The genetic architecture of type 2 diabetes

Journal

NATURE
Volume 536, Issue 7614, Pages 41-+

Publisher

NATURE PUBLISHING GROUP
DOI: 10.1038/nature18642

Keywords

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Funding

  1. British Heart Foundation [RG/14/5/30893] Funding Source: researchfish
  2. Medical Research Council [MR/L01341X/1, G0800270, MR/K002414/1, MC_PC_13046, G0601966, G0700931, MC_UU_12012/5/B, MC_UU_12015/1, MC_UU_12012/5, G0601261, MC_UU_12015/2, MC_U106179472] Funding Source: researchfish
  3. National Institute for Health Research [NF-SI-0611-10136, ACF-2009-18-005, NF-SI-0513-10109, NF-SI-0507-10228, NF-SI-0611-10099, NF-SI-0512-10077, NF-SI-0514-10027, NF-SI-0611-10219, NF-SI-0507-10380] Funding Source: researchfish
  4. Novo Nordisk Fonden [NNF15OC0016416, NNF11OC1014855, NNF13OC0005781, NNF12OC1016167, NNF14OC0011039] Funding Source: researchfish
  5. MRC [MC_U106179472, G0601966, G0800270, G0601261, MC_UU_12015/1, G0700931, MR/L01341X/1, MC_UU_12012/5, MC_UU_12015/2, MR/K002414/1] Funding Source: UKRI
  6. British Heart Foundation [RG/14/5/30893, SP/09/002, SP/04/002] Funding Source: Medline
  7. CIHR Funding Source: Medline
  8. Medical Research Council [MC_UU_12012/5, G0900747-‐91070, MR/K002414/1, G0601261, MR/K013491/1, MC_UU_12015/1, G0801566, G0901213, G0700931, G0601966, MR/L01341X/1, G0800270] Funding Source: Medline
  9. NCI NIH HHS [K12CA139160] Funding Source: Medline
  10. NHGRI NIH HHS [R01 HG000376, U01HG005773, U54 HG003067, U54HG003067, T32 HG000040, U01 HG005773, R56 HG000376] Funding Source: Medline
  11. NHLBI NIH HHS [HHSN268201300048C, R01HL102830, T32 HL007055, HHSN268201300046C, HHSN268201300050C, HHSN268201300047C, HHSN268201300049C, R01 HL102830] Funding Source: Medline
  12. NIA NIH HHS [R01 AG042188, P01AG027734, P01 AG027734, P30 AG038072, 1R01AG042188, R01AG046949, P30AG038072, R01 AG046949] Funding Source: Medline
  13. NIDDK NIH HHS [R00 DK099240, 1RC2DK088389, R00 DK092251, U01 DK062370, P30 DK020572, DK098032, DK085526, R01DK073541, DK088389, DK085501, U01 DK078616, RC2-‐DK088389, DK085545, DK085584, U01 DK085584, P30 DK020595, R00DK092251, P60 DK020595, RC2DK088389, U01 DK085526, R01 DK072193, R01 DK066358, R01 DK073541, DK093757, U01 DK085524, K24DK080140, DK085524, R01DK066358, U01 DK085545, U01DK085501, R01 DK106236, R01 DK098032, P60DK20595, R01DK098032, U01DK085526, K24 DK110550, K24 DK080140, U01 DK085501, R01DK062370, P30DK020595, R01 DK093757, R01 DK101478, DK072193, RC2 DK088389] Funding Source: Medline
  14. NIGMS NIH HHS [T32 GM007753, T32GM007753] Funding Source: Medline
  15. NIH HHS [S10 OD018522] Funding Source: Medline
  16. NIMHD NIH HHS [U54 MD007588] Funding Source: Medline
  17. NIMH NIH HHS [R01MH090937, R01MH101820, R01 MH090937, R01 MH101820] Funding Source: Medline
  18. Wellcome Trust [098017, 090532, 084723, 095552, 095101, 200837/Z/16/Z, 085475, 090367, 064890, 098051, 100956, 092447, 098381, 086596, 083948] Funding Source: Medline

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The genetic architecture of common traits, including the number, frequency, and effect sizes of inherited variants that contribute to individual risk, has been long debated. Genome-wide association studies have identified scores of common variants associated with type 2 diabetes, but in aggregate, these explain only a fraction of the heritability of this disease. Here, to test the hypothesis that lower-frequency variants explain much of the remainder, the GoT2D and T2D-GENES consortia performed whole-genome sequencing in 2,657 European individuals with and without diabetes, and exome sequencing in 12,940 individuals from five ancestry groups. To increase statistical power, we expanded the sample size via genotyping and imputation in a further 111,548 subjects. Variants associated with type 2 diabetes after sequencing were overwhelmingly common and most fell within regions previously identified by genome-wide association studies. Comprehensive enumeration of sequence variation is necessary to identify functional alleles that provide important clues to disease pathophysiology, but large-scale sequencing does not support the idea that lower-frequency variants have a major role in predisposition to type 2 diabetes.

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