BACKGROUND: Previous genome-wide association studies have identified multiple type 2 diabetes (T2D) genetic risk loci in many populations. However, the contribution of these loci to T2D in the Middle Eastern populations with high T2D prevalence is unknown. METHODS: Here, we investigated the association of 38 T2D risk loci in the Saudi Arabian population (1166 patients with T2D and 1235 healthy controls), which has one of the world's highest prevalence of T2D. RESULTS: Eight common genetic variants showed a significant association with T2D in our study population. The effect sizes of these loci were comparable to those previously identified in other populations with the exception of HNF4A, which showed a trend for larger effect size in our study population (OR = 1·27) compared to that reported in South Asian populations (OR = 1·09; I(2) = 65·9). Analysis of risk allele scores (RASs) defined by the 8 loci showed that subjects in the top RAS quintile (n = 480) had 2·5-fold increase in disease risk compared to those in the bottom quintile (n = 480; P = 9·5 × 10(-12)). RASs were also associated with fasting glucose level (β = 0·12; P = 2·2 × 10(-9)), but not with BMI (P = 0·19). Analysis of a subgroup of subjects with BMI≤30 resulted in two additional loci (SLC30A8; P = 0·03, HMG20A; P = 0·02) showing significant association with T2D. CONCLUSIONS: We have shown for the first time that variants at WFS1, JAZF1, SLC30A8, CDKN2A/B, TCF7L2, KCNQ1, HMG20A, HNF4A and DUSP9 are associated with T2D in the Saudi population. Our findings also suggest substantial overlap of T2D risk loci across many ethnic groups regardless of disease prevalence.
BACKGROUND: Previous genome-wide association studies have identified multiple type 2 diabetes (T2D) genetic risk loci in many populations. However, the contribution of these loci to T2D in the Middle Eastern populations with high T2D prevalence is unknown. METHODS: Here, we investigated the association of 38 T2D risk loci in the Saudi Arabian population (1166 patients with T2D and 1235 healthy controls), which has one of the world's highest prevalence of T2D. RESULTS: Eight common genetic variants showed a significant association with T2D in our study population. The effect sizes of these loci were comparable to those previously identified in other populations with the exception of HNF4A, which showed a trend for larger effect size in our study population (OR = 1·27) compared to that reported in South Asian populations (OR = 1·09; I(2) = 65·9). Analysis of risk allele scores (RASs) defined by the 8 loci showed that subjects in the top RAS quintile (n = 480) had 2·5-fold increase in disease risk compared to those in the bottom quintile (n = 480; P = 9·5 × 10(-12)). RASs were also associated with fasting glucose level (β = 0·12; P = 2·2 × 10(-9)), but not with BMI (P = 0·19). Analysis of a subgroup of subjects with BMI≤30 resulted in two additional loci (SLC30A8; P = 0·03, HMG20A; P = 0·02) showing significant association with T2D. CONCLUSIONS: We have shown for the first time that variants at WFS1, JAZF1, SLC30A8, CDKN2A/B, TCF7L2, KCNQ1, HMG20A, HNF4A and DUSP9 are associated with T2D in the Saudi population. Our findings also suggest substantial overlap of T2D risk loci across many ethnic groups regardless of disease prevalence.
Authors: Sarah L O'Beirne; Jacqueline Salit; Juan L Rodriguez-Flores; Michelle R Staudt; Charbel Abi Khalil; Khalid A Fakhro; Amal Robay; Monica D Ramstetter; Joel A Malek; Mahmoud Zirie; Amin Jayyousi; Ramin Badii; Ajayeb Al-Nabet Al-Marri; Abdulbari Bener; Mai Mahmoud; Maria J Chiuchiolo; Alya Al-Shakaki; Omar Chidiac; Dora Stadler; Jason G Mezey; Ronald G Crystal Journal: PLoS One Date: 2018-09-13 Impact factor: 3.240
Authors: Sarah L O'Beirne; Jacqueline Salit; Juan L Rodriguez-Flores; Michelle R Staudt; Charbel Abi Khalil; Khalid A Fakhro; Amal Robay; Monica D Ramstetter; Iman K Al-Azwani; Joel A Malek; Mahmoud Zirie; Amin Jayyousi; Ramin Badii; Ajayeb Al-Nabet Al-Marri; Maria J Chiuchiolo; Alya Al-Shakaki; Omar Chidiac; Maey Gharbiah; Abdulbari Bener; Dora Stadler; Neil R Hackett; Jason G Mezey; Ronald G Crystal Journal: PLoS One Date: 2016-07-06 Impact factor: 3.240