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Amy R. Bentley
National Institutes of Health
56Publications
16H-index
932Citations
Publications 56
Newest
#1Chang Liu (Capital Medical University)
#2Guanjie Chen (NIH: National Institutes of Health)H-Index: 30
Last.Charles N. Rotimi (NIH: National Institutes of Health)H-Index: 62
view all 8 authors...
Proliferative diabetic retinopathy (PDR) is a sight-threatening complication of diabetes that is associated with longer duration of diabetes and poor glycemic control under a genetic susceptibility background. Although GWAS of PDR have been conducted in Europeans and Asians, none has been done in continental Africans, a population at increased risk for PDR. Here, we report a GWAS of PDR among Africans. PDR cases (n = 64) were T2D patients with neovascularization in the retina and/or retinal deta...
#1Adebowale Adeyemo (NIH: National Institutes of Health)H-Index: 51
#2Norran A. Zaghloul (UMB: University of Maryland, Baltimore)H-Index: 12
Last.Charles N. Rotimi (NIH: National Institutes of Health)H-Index: 62
view all 26 authors...
Genome analysis of diverse human populations has contributed to the identification of novel genomic loci for diseases of major clinical and public health impact. Here, we report a genome-wide analysis of type 2 diabetes (T2D) in sub-Saharan Africans, an understudied ancestral group. We analyze ~18 million autosomal SNPs in 5,231 individuals from Nigeria, Ghana and Kenya. We identify a previously-unreported genome-wide significant locus: ZRANB3 (Zinc Finger RANBP2-Type Containing 3, lead SNP p = ...
#1Tuomas O. Kilpelaeinen (ISMMS: Icahn School of Medicine at Mount Sinai)H-Index: 33
#2Amy R. Bentley (NIH: National Institutes of Health)H-Index: 16
Last.Ruth Loos (ISMMS: Icahn School of Medicine at Mount Sinai)H-Index: 111
view all 237 authors...
Many genetic loci affect circulating lipid levels, but it remains unknown whether lifestyle factors, such as physical activity, modify these genetic effects. To identify lipid loci interacting with physical activity, we performed genome-wide analyses of circulating HDL cholesterol, LDL cholesterol, and triglyceride levels in up to 120,979 individuals of European, African, Asian, Hispanic, and Brazilian ancestry, with follow-up of suggestive associations in an additional 131,012 individuals. We f...
#1Guanjie Chen (NIH: National Institutes of Health)H-Index: 30
#2Ao Yuan (Georgetown University)H-Index: 7
Last.Charles N. Rotimi (NIH: National Institutes of Health)H-Index: 62
view all 9 authors...
#1Kenneth Ekoru (NIH: National Institutes of Health)
#2Ayo Doumatey (NIH: National Institutes of Health)H-Index: 25
Last.Charles N. Rotimi (NIH: National Institutes of Health)H-Index: 62
view all 21 authors...
Abstract Background Context-specific evidence of the spectrum of type 2 diabetes (T2D) burden is essential for setting priorities and designing interventions to reduce associated morbidity and mortality. However, there are currently limited data on the burden of T2D complications and comorbidity in sub-Saharan Africa (SSA). Methods T2D complications and comorbidities were assessed in 2,784 participants with diabetes enrolled from tertiary health centres and contextualised in 3,209 individuals wi...
#1Yun J. Sung (WashU: Washington University in St. Louis)H-Index: 7
#2L de Las Fuentes (WashU: Washington University in St. Louis)H-Index: 2
Last.Alanna C. Morrison (University of Texas Health Science Center at Houston)H-Index: 44
view all 279 authors...
U.S. National Heart, Lung, and Blood Institute (NHLBI) (K25HL121091 to Y.J.S.); National Institutes of Health (R01HL118305).
#1Vincent LavilleH-Index: 2
#2Timothy Majarian (Broad Institute)
Last.Hugues Aschard (Harvard University)H-Index: 21
view all 9 authors...
Abstract Background Models including an interaction term and performing a joint test of SNP and/or interaction effect are often used to discover Gene-Environment (GxE) interactions. When the environmental exposure is a binary variable, analyses from exposure-stratified models which consist in estimating genetic effect in unexposed and exposed individuals separately can be of interest. In large-scale consortia focusing on GxE interactions in which only the joint test has been performed, it may be...
#1P S de Vries (University of Texas Health Science Center at Houston)H-Index: 4
#2Michael R. Brown (University of Texas Health Science Center at Houston)H-Index: 6
Last.Alanna C. Morrison (University of Texas Health Science Center at Houston)H-Index: 44
view all 264 authors...
A person's lipid profile is influenced by genetic variants and alcohol consumption, but the contribution of interactions between these exposures has not been studied. We therefore incorporated gene-alcohol interactions into a multiancestry genome-wide association study of levels of high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, and triglycerides. We included 45 studies in stage 1 (genome-wide discovery) and 66 studies in stage 2 (focused follow-up), for a total of 394...
#1Adebowale Adeyemo (NIH: National Institutes of Health)H-Index: 51
#2Guanjie Chen (NIH: National Institutes of Health)H-Index: 30
Last.Charles N. Rotimi (NIH: National Institutes of Health)H-Index: 62
view all 26 authors...
Genome analysis of diverse human populations has contributed to the identification of novel genomic loci for diseases of major clinical and public health impact. Here, we report the largest genome-wide analysis of type 2 diabetes (T2D) in sub-Saharan Africans, an understudied ancestral group. We analyzed ~18 million autosomal SNPs in 5,231 individuals from Nigeria, Ghana and Kenya. TCF7L2 rs7903156 was the most significant locus (p=7.288 X 10 -13 ). We identified a novel genome wide significant ...
#1Amy R. Bentley (NIH: National Institutes of Health)H-Index: 16
#2Yun J. Sung (WashU: Washington University in St. Louis)H-Index: 7
Last.L. Adrienne CupplesH-Index: 137
view all 299 authors...
The concentrations of high- and low-density-lipoprotein cholesterol and triglycerides are influenced by smoking, but it is unknown whether genetic associations with lipids may be modified by smoking. We conducted a multi-ancestry genome-wide gene–smoking interaction study in 133,805 individuals with follow-up in an additional 253,467 individuals. Combined meta-analyses identified 13 new loci associated with lipids, some of which were detected only because association differed by smoking status. ...
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