Skip to main content
Erschienen in: Current Diabetes Reports 10/2019

01.10.2019 | Genetics (AP Morris, Section Editor)

Genetic Basis of Obesity and Type 2 Diabetes in Africans: Impact on Precision Medicine

verfasst von: Ayo P. Doumatey, Kenneth Ekoru, Adebowale Adeyemo, Charles N. Rotimi

Erschienen in: Current Diabetes Reports | Ausgabe 10/2019

Einloggen, um Zugang zu erhalten

Abstract

Purpose of Review

Recent advances in genomics provide opportunities for novel understanding of the biology of human traits with the goal of improving human health. Here, we review recent obesity and type 2 diabetes (T2D)–related genomic studies in African populations and discuss the implications of limited genomics studies on health disparity and precision medicine.

Recent Findings

Genome-wide association studies in Africans have yielded genetic discovery that would otherwise not be possible; these include identification of novel loci associated with obesity (SEMA-4D, PRKCA, WARS2), metabolic syndrome (CA-10, CTNNA3), and T2D (AGMO, ZRANB3). ZRANB3 was recently demonstrated to influence beta cell mass and insulin response. Despite these promising results, genomic studies in African populations are still limited and thus genomics tools and approaches such as polygenic risk scores and precision medicine are likely to have limited utility in Africans with the unacceptable possibility of exacerbating prevailing health disparities.

Summary

African populations provide unique opportunities for increasing our understanding of the genetic basis of cardiometabolic disorders. We highlight the need for more coordinated and sustained efforts to increase the representation of Africans in genomic studies both as participants and scientists.
Anhänge
Nur mit Berechtigung zugänglich
Literatur
1.
Zurück zum Zitat Mbanya JC, Motala AA, Sobngwi E, Assah FK, Enoru ST. Diabetes in sub-Saharan Africa. Lancet. 2010;375(9733):2254–66.PubMed Mbanya JC, Motala AA, Sobngwi E, Assah FK, Enoru ST. Diabetes in sub-Saharan Africa. Lancet. 2010;375(9733):2254–66.PubMed
2.
Zurück zum Zitat Federation ID. IDF Diabetes Atlas. 2017 (8th edition, Brussels, Belgium). Federation ID. IDF Diabetes Atlas. 2017 (8th edition, Brussels, Belgium).
3.
Zurück zum Zitat Trends in obesity and diabetes across Africa from 1980 to 2014: an analysis of pooled population-based studies. Int J Epidemiol. 2017;46(5):1421–32. Trends in obesity and diabetes across Africa from 1980 to 2014: an analysis of pooled population-based studies. Int J Epidemiol. 2017;46(5):1421–32.
4.
Zurück zum Zitat Goodarzi MO. Genetics of obesity: what genetic association studies have taught us about the biology of obesity and its complications. Lancet Diabetes Endocrinol. 2018;6(3):223–36.PubMed Goodarzi MO. Genetics of obesity: what genetic association studies have taught us about the biology of obesity and its complications. Lancet Diabetes Endocrinol. 2018;6(3):223–36.PubMed
5.
Zurück zum Zitat Owen JB. Genetic aspects of body composition. Nutrition. 1999;15(7–8):609–13.PubMed Owen JB. Genetic aspects of body composition. Nutrition. 1999;15(7–8):609–13.PubMed
6.
Zurück zum Zitat Tekola-Ayele F, Adeyemo AA, Rotimi CN. Genetic epidemiology of type 2 diabetes and cardiovascular diseases in Africa. Prog Cardiovasc Dis. 2013;56(3):251–60.PubMed Tekola-Ayele F, Adeyemo AA, Rotimi CN. Genetic epidemiology of type 2 diabetes and cardiovascular diseases in Africa. Prog Cardiovasc Dis. 2013;56(3):251–60.PubMed
7.
Zurück zum Zitat Chen G, Adeyemo A, Zhou J, Chen Y, Huang H, Doumatey A, et al. Genome-wide search for susceptibility genes to type 2 diabetes in West Africans: potential role of C-peptide. Diabetes Res Clin Pract. 2007;78(3):e1–6.PubMed Chen G, Adeyemo A, Zhou J, Chen Y, Huang H, Doumatey A, et al. Genome-wide search for susceptibility genes to type 2 diabetes in West Africans: potential role of C-peptide. Diabetes Res Clin Pract. 2007;78(3):e1–6.PubMed
8.
Zurück zum Zitat Chen G, Adeyemo AA, Johnson T, Zhou J, Amoah A, Owusu S, et al. A genome-wide scan for quantitative trait loci linked to obesity phenotypes among West Africans. Int J Obes. 2005;29(3):255–9. Chen G, Adeyemo AA, Johnson T, Zhou J, Amoah A, Owusu S, et al. A genome-wide scan for quantitative trait loci linked to obesity phenotypes among West Africans. Int J Obes. 2005;29(3):255–9.
9.
Zurück zum Zitat Rotimi CN, Chen G, Adeyemo AA, Furbert-Harris P, Parish-Gause D, Zhou J, et al. A genome-wide search for type 2 diabetes susceptibility genes in West Africans: the Africa America Diabetes Mellitus (AADM) study. Diabetes. 2004;53(3):838–41.PubMed Rotimi CN, Chen G, Adeyemo AA, Furbert-Harris P, Parish-Gause D, Zhou J, et al. A genome-wide search for type 2 diabetes susceptibility genes in West Africans: the Africa America Diabetes Mellitus (AADM) study. Diabetes. 2004;53(3):838–41.PubMed
10.
Zurück zum Zitat Rotimi CN, Dunston GM, Berg K, Akinsete O, Amoah A, Owusu S, et al. In search of susceptibility genes for type 2 diabetes in West Africa: the design and results of the first phase of the AADM study. Ann Epidemiol. 2001;11(1):51–8.PubMed Rotimi CN, Dunston GM, Berg K, Akinsete O, Amoah A, Owusu S, et al. In search of susceptibility genes for type 2 diabetes in West Africa: the design and results of the first phase of the AADM study. Ann Epidemiol. 2001;11(1):51–8.PubMed
11.
Zurück zum Zitat Rotimi C, Abayomi A, Abimiku A, Adabayeri VM, Adebamowo C, Adebiyi E, et al. Research capacity. Enabling the genomic revolution in Africa. Science. 2014;344(6190):1346–8.PubMed Rotimi C, Abayomi A, Abimiku A, Adabayeri VM, Adebamowo C, Adebiyi E, et al. Research capacity. Enabling the genomic revolution in Africa. Science. 2014;344(6190):1346–8.PubMed
12.
Zurück zum Zitat Rotimi CN, Bentley AR, Doumatey AP, Chen G, Shriner D, Adeyemo A. The genomic landscape of African populations in health and disease. Hum Mol Genet. 2017;26(R2):R225–r36.PubMedPubMedCentral Rotimi CN, Bentley AR, Doumatey AP, Chen G, Shriner D, Adeyemo A. The genomic landscape of African populations in health and disease. Hum Mol Genet. 2017;26(R2):R225–r36.PubMedPubMedCentral
13.
Zurück zum Zitat Helgason A, Palsson S, Thorleifsson G, Grant SF, Emilsson V, Gunnarsdottir S, et al. Refining the impact of TCF7L2 gene variants on type 2 diabetes and adaptive evolution. Nat Genet. 2007;39(2):218–25.PubMed Helgason A, Palsson S, Thorleifsson G, Grant SF, Emilsson V, Gunnarsdottir S, et al. Refining the impact of TCF7L2 gene variants on type 2 diabetes and adaptive evolution. Nat Genet. 2007;39(2):218–25.PubMed
14.
Zurück zum Zitat Adeyemo AA, Tekola-Ayele F, Doumatey AP, Bentley AR, Chen G, Huang H, et al. Evaluation of genome wide association study associated type 2 diabetes susceptibility loci in sub Saharan Africans. Front Genet. 2015;6:335.PubMedPubMedCentral Adeyemo AA, Tekola-Ayele F, Doumatey AP, Bentley AR, Chen G, Huang H, et al. Evaluation of genome wide association study associated type 2 diabetes susceptibility loci in sub Saharan Africans. Front Genet. 2015;6:335.PubMedPubMedCentral
15.
Zurück zum Zitat Danquah I, Othmer T, Frank LK, Bedu-Addo G, Schulze MB, Mockenhaupt FP. The TCF7L2 rs7903146 (T) allele is associated with type 2 diabetes in urban Ghana: a hospital-based case-control study. BMC Med Genet. 2013;14:96.PubMedPubMedCentral Danquah I, Othmer T, Frank LK, Bedu-Addo G, Schulze MB, Mockenhaupt FP. The TCF7L2 rs7903146 (T) allele is associated with type 2 diabetes in urban Ghana: a hospital-based case-control study. BMC Med Genet. 2013;14:96.PubMedPubMedCentral
16.
Zurück zum Zitat Guewo-Fokeng M, Sobngwi E, Atogho-Tiedeu B, Donfack OS, Noubiap JJ, Ngwa EN, et al. Contribution of the TCF7L2 rs7903146 (C/T) gene polymorphism to the susceptibility to type 2 diabetes mellitus in Cameroon. J Diabetes Metab Disord. 2015;14:26.PubMedPubMedCentral Guewo-Fokeng M, Sobngwi E, Atogho-Tiedeu B, Donfack OS, Noubiap JJ, Ngwa EN, et al. Contribution of the TCF7L2 rs7903146 (C/T) gene polymorphism to the susceptibility to type 2 diabetes mellitus in Cameroon. J Diabetes Metab Disord. 2015;14:26.PubMedPubMedCentral
18.
Zurück zum Zitat •• Chen J, Sun M, Adeyemo A, Pirie F, Carstensen T, Pomilla C, et al. Genome-wide association study of type 2 diabetes in Africa. Diabetologia. 2019. This paper is a relatively large discovery GWAS of obesity, T2D, and related-traits conducted specifically in African populations within the past couple of years. It identified novel African-specific variants that are associated with these traits and not only expanded our understanding of the pathophysiology of metabolic disorders but also generated new hypotheses. •• Chen J, Sun M, Adeyemo A, Pirie F, Carstensen T, Pomilla C, et al. Genome-wide association study of type 2 diabetes in Africa. Diabetologia. 2019. This paper is a relatively large discovery GWAS of obesity, T2D, and related-traits conducted specifically in African populations within the past couple of years. It identified novel African-specific variants that are associated with these traits and not only expanded our understanding of the pathophysiology of metabolic disorders but also generated new hypotheses.
19.
Zurück zum Zitat Chen R, Corona E, Sikora M, Dudley JT, Morgan AA, Moreno-Estrada A, et al. Type 2 diabetes risk alleles demonstrate extreme directional differentiation among human populations, compared to other diseases. PLoS Genet. 2012;8(4):e1002621.PubMedPubMedCentral Chen R, Corona E, Sikora M, Dudley JT, Morgan AA, Moreno-Estrada A, et al. Type 2 diabetes risk alleles demonstrate extreme directional differentiation among human populations, compared to other diseases. PLoS Genet. 2012;8(4):e1002621.PubMedPubMedCentral
20.
Zurück zum Zitat Gibbons A. 12th International Congress of Human Genetics. Diabetes genes decline out of Africa. Science. 2011;334(6056):583.PubMed Gibbons A. 12th International Congress of Human Genetics. Diabetes genes decline out of Africa. Science. 2011;334(6056):583.PubMed
21.
Zurück zum Zitat Corona E, Chen R, Sikora M, Morgan AA, Patel CJ, Ramesh A, et al. Analysis of the genetic basis of disease in the context of worldwide human relationships and migration. PLoS Genet. 2013;9(5):e1003447.PubMedPubMedCentral Corona E, Chen R, Sikora M, Morgan AA, Patel CJ, Ramesh A, et al. Analysis of the genetic basis of disease in the context of worldwide human relationships and migration. PLoS Genet. 2013;9(5):e1003447.PubMedPubMedCentral
22.
Zurück zum Zitat Adeyemo A, Chen G, Zhou J, Shriner D, Doumatey A, Huang H, et al. FTO genetic variation and association with obesity in West Africans and African Americans. Diabetes. 2010;59(6):1549–54.PubMedPubMedCentral Adeyemo A, Chen G, Zhou J, Shriner D, Doumatey A, Huang H, et al. FTO genetic variation and association with obesity in West Africans and African Americans. Diabetes. 2010;59(6):1549–54.PubMedPubMedCentral
23.
Zurück zum Zitat Ramsay M, Crowther N, Tambo E, Agongo G, Baloyi V, Dikotope S, et al. H3Africa AWI-Gen Collaborative Centre: a resource to study the interplay between genomic and environmental risk factors for cardiometabolic diseases in four sub-Saharan African countries. Glob Health Epidemiol Genom. 2016;1:e20.PubMedPubMedCentral Ramsay M, Crowther N, Tambo E, Agongo G, Baloyi V, Dikotope S, et al. H3Africa AWI-Gen Collaborative Centre: a resource to study the interplay between genomic and environmental risk factors for cardiometabolic diseases in four sub-Saharan African countries. Glob Health Epidemiol Genom. 2016;1:e20.PubMedPubMedCentral
24.
Zurück zum Zitat Cooke Bailey JN, Igo RP Jr. Genetic risk scores. Curr Protoc Hum Genet. 2016;91:1.29.1–1..9. Cooke Bailey JN, Igo RP Jr. Genetic risk scores. Curr Protoc Hum Genet. 2016;91:1.29.1–1..9.
25.
Zurück zum Zitat Folsom AR, Tang W, Weng LC, Roetker NS, Cushman M, Basu S, et al. Replication of a genetic risk score for venous thromboembolism in whites but not in African Americans. J Thromb Haemost. 2016;14(1):83–8.PubMed Folsom AR, Tang W, Weng LC, Roetker NS, Cushman M, Basu S, et al. Replication of a genetic risk score for venous thromboembolism in whites but not in African Americans. J Thromb Haemost. 2016;14(1):83–8.PubMed
26.
Zurück zum Zitat Smith CJ, Saftlas AF, Spracklen CN, Triche EW, Bjonnes A, Keating B, et al. Genetic risk score for essential hypertension and risk of preeclampsia. Am J Hypertens. 2016;29(1):17–24.PubMed Smith CJ, Saftlas AF, Spracklen CN, Triche EW, Bjonnes A, Keating B, et al. Genetic risk score for essential hypertension and risk of preeclampsia. Am J Hypertens. 2016;29(1):17–24.PubMed
27.
Zurück zum Zitat Charmet R, van Hylckama VA, Germain M, Roussel R, Marre M, Debette S, et al. Association of impaired renal function with venous thrombosis: a genetic risk score approach. Thromb Res. 2017;158:102–7.PubMed Charmet R, van Hylckama VA, Germain M, Roussel R, Marre M, Debette S, et al. Association of impaired renal function with venous thrombosis: a genetic risk score approach. Thromb Res. 2017;158:102–7.PubMed
28.
Zurück zum Zitat Iwasaki M, Tanaka-Mizuno S, Kuchiba A, Yamaji T, Sawada N, Goto A, et al. Inclusion of a genetic risk score into a validated risk prediction model for colorectal cancer in Japanese men improves performance. Cancer Prev Res (Phila). 2017;10(9):535–41. Iwasaki M, Tanaka-Mizuno S, Kuchiba A, Yamaji T, Sawada N, Goto A, et al. Inclusion of a genetic risk score into a validated risk prediction model for colorectal cancer in Japanese men improves performance. Cancer Prev Res (Phila). 2017;10(9):535–41.
29.
Zurück zum Zitat Pereira A, Mendonca MI, Sousa AC, Borges S, Freitas S, Henriques E, et al. Genetic risk score and cardiovascular mortality in a southern European population with coronary artery disease. Int J Clin Pract. 2017;71(6). Pereira A, Mendonca MI, Sousa AC, Borges S, Freitas S, Henriques E, et al. Genetic risk score and cardiovascular mortality in a southern European population with coronary artery disease. Int J Clin Pract. 2017;71(6).
30.
Zurück zum Zitat Pisanu C, Preisig M, Castelao E, Glaus J, Pistis G, Squassina A, et al. A genetic risk score is differentially associated with migraine with and without aura. Hum Genet. 2017;136(8):999–1008.PubMedPubMedCentral Pisanu C, Preisig M, Castelao E, Glaus J, Pistis G, Squassina A, et al. A genetic risk score is differentially associated with migraine with and without aura. Hum Genet. 2017;136(8):999–1008.PubMedPubMedCentral
31.
Zurück zum Zitat Redondo MJ, Oram RA, Steck AK. Genetic risk scores for type 1 diabetes prediction and diagnosis. Curr Diab Rep. 2017;17(12):129.PubMed Redondo MJ, Oram RA, Steck AK. Genetic risk scores for type 1 diabetes prediction and diagnosis. Curr Diab Rep. 2017;17(12):129.PubMed
32.
Zurück zum Zitat Dudbridge F, Pashayan N, Yang J. Predictive accuracy of combined genetic and environmental risk scores. Genet Epidemiol. 2018;42(1):4–19.PubMed Dudbridge F, Pashayan N, Yang J. Predictive accuracy of combined genetic and environmental risk scores. Genet Epidemiol. 2018;42(1):4–19.PubMed
33.
Zurück zum Zitat Pereira A, Mendonca MI, Borges S, Freitas S, Henriques E, Rodrigues M, et al. Genetic risk analysis of coronary artery disease in a population-based study in Portugal, using a genetic risk score of 31 variants. Arq Bras Cardiol. 2018;111(1):50–61.PubMedPubMedCentral Pereira A, Mendonca MI, Borges S, Freitas S, Henriques E, Rodrigues M, et al. Genetic risk analysis of coronary artery disease in a population-based study in Portugal, using a genetic risk score of 31 variants. Arq Bras Cardiol. 2018;111(1):50–61.PubMedPubMedCentral
34.
Zurück zum Zitat • Martin AR, Kanai M, Kamatani Y, Okada Y, Neale BM, Daly MJ. Clinical use of current polygenic risk scores may exacerbate health disparities. Nat Genet. 2019;51(4):584–91 This paper gives a significant perspective on the genetic risk score estimation across human populations, their bias toward European ancestry populations, and the potential to widen health disparity and impede the implementation of precision medicine if they are implemented in clinical settings serving diverse populations.PubMedPubMedCentral • Martin AR, Kanai M, Kamatani Y, Okada Y, Neale BM, Daly MJ. Clinical use of current polygenic risk scores may exacerbate health disparities. Nat Genet. 2019;51(4):584–91 This paper gives a significant perspective on the genetic risk score estimation across human populations, their bias toward European ancestry populations, and the potential to widen health disparity and impede the implementation of precision medicine if they are implemented in clinical settings serving diverse populations.PubMedPubMedCentral
35.
Zurück zum Zitat Yako YY, Echouffo-Tcheugui JB, Balti EV, Matsha TE, Sobngwi E, Erasmus RT, et al. Genetic association studies of obesity in Africa: a systematic review. Obes Rev. 2015;16(3):259–72.PubMed Yako YY, Echouffo-Tcheugui JB, Balti EV, Matsha TE, Sobngwi E, Erasmus RT, et al. Genetic association studies of obesity in Africa: a systematic review. Obes Rev. 2015;16(3):259–72.PubMed
36.
Zurück zum Zitat Szklarczyk D, Franceschini A, Wyder S, Forslund K, Heller D, Huerta-Cepas J, et al. STRING v10: protein-protein interaction networks, integrated over the tree of life. Nucleic Acids Res. 2015;43(Database issue):D447–52.PubMed Szklarczyk D, Franceschini A, Wyder S, Forslund K, Heller D, Huerta-Cepas J, et al. STRING v10: protein-protein interaction networks, integrated over the tree of life. Nucleic Acids Res. 2015;43(Database issue):D447–52.PubMed
37.
Zurück zum Zitat Yang J, Bakshi A, Zhu Z, Hemani G, Vinkhuyzen AAE, Lee SH, et al. Genetic variance estimation with imputed variants finds negligible missing heritability for human height and body mass index. Nat Genet. 2015;47:1114.PubMedPubMedCentral Yang J, Bakshi A, Zhu Z, Hemani G, Vinkhuyzen AAE, Lee SH, et al. Genetic variance estimation with imputed variants finds negligible missing heritability for human height and body mass index. Nat Genet. 2015;47:1114.PubMedPubMedCentral
38.
Zurück zum Zitat •• Chen G, Doumatey AP, Zhou J, Lei L, Bentley AR, Tekola-Ayele F, et al. Genome-wide analysis identifies an African-specific variant in SEMA4D associated with body mass index. Obesity (Silver Spring). 2017;25(4):794–800 This paper is a relatively large discovery GWAS of obesity, T2D, and related-traits conducted specifically in African populations within the past couple of years. It identified novel African-specific variants that are associated with these traits and not only expanded our understanding of the pathophysiology of metabolic disorders but also generated new hypotheses. •• Chen G, Doumatey AP, Zhou J, Lei L, Bentley AR, Tekola-Ayele F, et al. Genome-wide analysis identifies an African-specific variant in SEMA4D associated with body mass index. Obesity (Silver Spring). 2017;25(4):794–800 This paper is a relatively large discovery GWAS of obesity, T2D, and related-traits conducted specifically in African populations within the past couple of years. It identified novel African-specific variants that are associated with these traits and not only expanded our understanding of the pathophysiology of metabolic disorders but also generated new hypotheses.
39.
Zurück zum Zitat •• Tekola-Ayele F, Doumatey AP, Shriner D, Bentley AR, Chen G, Zhou J, et al. Genome-wide association study identifies African-ancestry specific variants for metabolic syndrome. Mol Genet Metab. 2015;116(4):305–13 This paper is a relatively large discovery GWAS of obesity, T2D, and related-traits conducted specifically in African populations within the past couple of years. It identified novel African-specific variants that are associated with these traits and not only expanded our understanding of the pathophysiology of metabolic disorders but also generated new hypotheses.PubMedPubMedCentral •• Tekola-Ayele F, Doumatey AP, Shriner D, Bentley AR, Chen G, Zhou J, et al. Genome-wide association study identifies African-ancestry specific variants for metabolic syndrome. Mol Genet Metab. 2015;116(4):305–13 This paper is a relatively large discovery GWAS of obesity, T2D, and related-traits conducted specifically in African populations within the past couple of years. It identified novel African-specific variants that are associated with these traits and not only expanded our understanding of the pathophysiology of metabolic disorders but also generated new hypotheses.PubMedPubMedCentral
40.
Zurück zum Zitat Sahibdeen V, Crowther NJ, Soodyall H, Hendry LM, Munthali RJ, Hazelhurst S, et al. Genetic variants in SEC16B are associated with body composition in black South Africans. Nutr Diabetes. 2018;8(1):43.PubMedPubMedCentral Sahibdeen V, Crowther NJ, Soodyall H, Hendry LM, Munthali RJ, Hazelhurst S, et al. Genetic variants in SEC16B are associated with body composition in black South Africans. Nutr Diabetes. 2018;8(1):43.PubMedPubMedCentral
41.
Zurück zum Zitat •• Adeyemo AA, Zaghloul NA, Chen G, Doumatey AP, Leitch CC, Hostelley TL, et al. ZRANB3 is an African-specific type 2 diabetes locus associated with beta-cell mass and insulin response. Nat Commun. 2019;10(1):3195 This paper is a relatively large discovery GWAS of obesity, T2D, and related-traits conducted specifically in African populations within the past couple of years. It identified novel African-specific variants that are associated with these traits and not only expanded our understanding of the pathophysiology of metabolic disorders but also generated new hypotheses.PubMedPubMedCentral •• Adeyemo AA, Zaghloul NA, Chen G, Doumatey AP, Leitch CC, Hostelley TL, et al. ZRANB3 is an African-specific type 2 diabetes locus associated with beta-cell mass and insulin response. Nat Commun. 2019;10(1):3195 This paper is a relatively large discovery GWAS of obesity, T2D, and related-traits conducted specifically in African populations within the past couple of years. It identified novel African-specific variants that are associated with these traits and not only expanded our understanding of the pathophysiology of metabolic disorders but also generated new hypotheses.PubMedPubMedCentral
42.
Zurück zum Zitat Wu H, Ghosh S, Perrard XD, Feng L, Garcia GE, Perrard JL, et al. T-cell accumulation and regulated on activation, normal T cell expressed and secreted upregulation in adipose tissue in obesity. Circulation. 2007;115(8):1029–38.PubMed Wu H, Ghosh S, Perrard XD, Feng L, Garcia GE, Perrard JL, et al. T-cell accumulation and regulated on activation, normal T cell expressed and secreted upregulation in adipose tissue in obesity. Circulation. 2007;115(8):1029–38.PubMed
43.
Zurück zum Zitat Justice AE, Karaderi T, Highland HM, Young KL, Graff M, Lu Y, et al. Protein-coding variants implicate novel genes related to lipid homeostasis contributing to body-fat distribution. Nat Genet. 2019;51(3):452–69.PubMedPubMedCentral Justice AE, Karaderi T, Highland HM, Young KL, Graff M, Lu Y, et al. Protein-coding variants implicate novel genes related to lipid homeostasis contributing to body-fat distribution. Nat Genet. 2019;51(3):452–69.PubMedPubMedCentral
44.
Zurück zum Zitat Lee SY, Gallagher D. Assessment methods in human body composition. Curr Opin Clin Nutr Metab Care. 2008;11(5):566–72.PubMedPubMedCentral Lee SY, Gallagher D. Assessment methods in human body composition. Curr Opin Clin Nutr Metab Care. 2008;11(5):566–72.PubMedPubMedCentral
45.
Zurück zum Zitat Pischon T, Boeing H, Hoffmann K, Bergmann M, Schulze MB, Overvad K, et al. General and abdominal adiposity and risk of death in Europe. N Engl J Med. 2008;359(20):2105–20.PubMed Pischon T, Boeing H, Hoffmann K, Bergmann M, Schulze MB, Overvad K, et al. General and abdominal adiposity and risk of death in Europe. N Engl J Med. 2008;359(20):2105–20.PubMed
46.
Zurück zum Zitat Wang Y, Rimm EB, Stampfer MJ, Willett WC, Hu FB. Comparison of abdominal adiposity and overall obesity in predicting risk of type 2 diabetes among men. Am J Clin Nutr. 2005;81(3):555–63.PubMed Wang Y, Rimm EB, Stampfer MJ, Willett WC, Hu FB. Comparison of abdominal adiposity and overall obesity in predicting risk of type 2 diabetes among men. Am J Clin Nutr. 2005;81(3):555–63.PubMed
47.
Zurück zum Zitat Snijder MB, Dekker JM, Visser M, Bouter LM, Stehouwer CD, Kostense PJ, et al. Associations of hip and thigh circumferences independent of waist circumference with the incidence of type 2 diabetes: the Hoorn study. Am J Clin Nutr. 2003;77(5):1192–7.PubMed Snijder MB, Dekker JM, Visser M, Bouter LM, Stehouwer CD, Kostense PJ, et al. Associations of hip and thigh circumferences independent of waist circumference with the incidence of type 2 diabetes: the Hoorn study. Am J Clin Nutr. 2003;77(5):1192–7.PubMed
48.
Zurück zum Zitat Schleinitz D, Böttcher Y, Blüher M, Kovacs P. The genetics of fat distribution. Diabetologia. 2014;57(7):1276–86.PubMed Schleinitz D, Böttcher Y, Blüher M, Kovacs P. The genetics of fat distribution. Diabetologia. 2014;57(7):1276–86.PubMed
49.
Zurück zum Zitat Yako YY, Madubedube JH, Kengne AP, Erasmus RT, Pillay TS, Matsha TE. Contribution of ENPP1, TCF7L2, and FTO polymorphisms to type 2 diabetes in mixed ancestry ethnic population of South Africa. Afr Health Sci. 2015;15(4):1149–60.PubMedPubMedCentral Yako YY, Madubedube JH, Kengne AP, Erasmus RT, Pillay TS, Matsha TE. Contribution of ENPP1, TCF7L2, and FTO polymorphisms to type 2 diabetes in mixed ancestry ethnic population of South Africa. Afr Health Sci. 2015;15(4):1149–60.PubMedPubMedCentral
50.
Zurück zum Zitat Adebamowo SN, Tekola-Ayele F, Adeyemo AA, Rotimi CN. Genomics of cardiometabolic disorders in sub-Saharan Africa. Public Health Genomics. 2017;20(1):9–26.PubMed Adebamowo SN, Tekola-Ayele F, Adeyemo AA, Rotimi CN. Genomics of cardiometabolic disorders in sub-Saharan Africa. Public Health Genomics. 2017;20(1):9–26.PubMed
51.
Zurück zum Zitat Khella MS, Hamdy NM, Amin AI, El-Mesallamy HO. The (FTO) gene polymorphism is associated with metabolic syndrome risk in Egyptian females: a case-control study. BMC Med Genet. 2017;18(1):101.PubMedPubMedCentral Khella MS, Hamdy NM, Amin AI, El-Mesallamy HO. The (FTO) gene polymorphism is associated with metabolic syndrome risk in Egyptian females: a case-control study. BMC Med Genet. 2017;18(1):101.PubMedPubMedCentral
52.
Zurück zum Zitat Oyeyemi BF, Ologunde CA, Olaoye AB, Alamukii NA. FTO gene associates and interacts with obesity risk, physical activity, energy intake, and time spent sitting: pilot study in a Nigerian population. J Obes. 2017;2017:3245270.PubMedPubMedCentral Oyeyemi BF, Ologunde CA, Olaoye AB, Alamukii NA. FTO gene associates and interacts with obesity risk, physical activity, energy intake, and time spent sitting: pilot study in a Nigerian population. J Obes. 2017;2017:3245270.PubMedPubMedCentral
53.
Zurück zum Zitat Ben Halima M, Kallel A, Baara A, Ben Wafi S, Sanhagi H, Slimane H, et al. The rs9939609 polymorphism in the fat mass and obesity associated (FTO) gene is associated with obesity in Tunisian population. Biomarkers. 2018;23(8):787–92.PubMed Ben Halima M, Kallel A, Baara A, Ben Wafi S, Sanhagi H, Slimane H, et al. The rs9939609 polymorphism in the fat mass and obesity associated (FTO) gene is associated with obesity in Tunisian population. Biomarkers. 2018;23(8):787–92.PubMed
54.
Zurück zum Zitat Nesrine Z, Haithem H, Imen B, Fadoua N, Asma O, Fadhel NM, et al. Leptin and leptin receptor polymorphisms, plasma leptin levels and obesity in Tunisian volunteers. Int J Exp Pathol. 2018;99(3):121–30.PubMedPubMedCentral Nesrine Z, Haithem H, Imen B, Fadoua N, Asma O, Fadhel NM, et al. Leptin and leptin receptor polymorphisms, plasma leptin levels and obesity in Tunisian volunteers. Int J Exp Pathol. 2018;99(3):121–30.PubMedPubMedCentral
55.
Zurück zum Zitat Zayani N, Hamdouni H, Boumaiza I, Achour O, Neffati F, Omezzine A, et al. Resistin polymorphims, plasma resistin levels and obesity in Tunisian volunteers. J Clin Lab Anal. 2018;32(2).PubMedCentral Zayani N, Hamdouni H, Boumaiza I, Achour O, Neffati F, Omezzine A, et al. Resistin polymorphims, plasma resistin levels and obesity in Tunisian volunteers. J Clin Lab Anal. 2018;32(2).PubMedCentral
56.
Zurück zum Zitat Thorleifsson G, Walters GB, Gudbjartsson DF, Steinthorsdottir V, Sulem P, Helgadottir A, et al. Genome-wide association yields new sequence variants at seven loci that associate with measures of obesity. Nat Genet. 2009;41(1):18–24.PubMed Thorleifsson G, Walters GB, Gudbjartsson DF, Steinthorsdottir V, Sulem P, Helgadottir A, et al. Genome-wide association yields new sequence variants at seven loci that associate with measures of obesity. Nat Genet. 2009;41(1):18–24.PubMed
57.
Zurück zum Zitat Winkler TW, Justice AE, Graff M, Barata L, Feitosa MF, Chu S, et al. The influence of age and sex on genetic associations with adult body size and shape: a large-scale genome-wide interaction study. PLoS Genet. 2015;11(10):e1005378.PubMedPubMedCentral Winkler TW, Justice AE, Graff M, Barata L, Feitosa MF, Chu S, et al. The influence of age and sex on genetic associations with adult body size and shape: a large-scale genome-wide interaction study. PLoS Genet. 2015;11(10):e1005378.PubMedPubMedCentral
58.
Zurück zum Zitat Lu Y, Day FR, Gustafsson S, Buchkovich ML, Na J, Bataille V, et al. New loci for body fat percentage reveal link between adiposity and cardiometabolic disease risk. Nat Commun. 2016;7:10495.PubMedPubMedCentral Lu Y, Day FR, Gustafsson S, Buchkovich ML, Na J, Bataille V, et al. New loci for body fat percentage reveal link between adiposity and cardiometabolic disease risk. Nat Commun. 2016;7:10495.PubMedPubMedCentral
59.
Zurück zum Zitat Rask-Andersen M, Karlsson T, Ek WE, Johansson A. Genome-wide association study of body fat distribution identifies adiposity loci and sex-specific genetic effects. Nat Commun. 2019;10(1):339.PubMedPubMedCentral Rask-Andersen M, Karlsson T, Ek WE, Johansson A. Genome-wide association study of body fat distribution identifies adiposity loci and sex-specific genetic effects. Nat Commun. 2019;10(1):339.PubMedPubMedCentral
60.
Zurück zum Zitat Riveros-McKay F, Mistry V, Bounds R, Hendricks A, Keogh JM, Thomas H, et al. Genetic architecture of human thinness compared to severe obesity. PLoS Genet. 2019;15(1):e1007603.PubMedPubMedCentral Riveros-McKay F, Mistry V, Bounds R, Hendricks A, Keogh JM, Thomas H, et al. Genetic architecture of human thinness compared to severe obesity. PLoS Genet. 2019;15(1):e1007603.PubMedPubMedCentral
61.
Zurück zum Zitat Yang J, Loos RJ, Powell JE, Medland SE, Speliotes EK, Chasman DI, et al. FTO genotype is associated with phenotypic variability of body mass index. Nature. 2012;490(7419):267–72.PubMedPubMedCentral Yang J, Loos RJ, Powell JE, Medland SE, Speliotes EK, Chasman DI, et al. FTO genotype is associated with phenotypic variability of body mass index. Nature. 2012;490(7419):267–72.PubMedPubMedCentral
62.
Zurück zum Zitat Frayling TM, Timpson NJ, Weedon MN, Zeggini E, Freathy RM, Lindgren CM, et al. A common variant in the FTO gene is associated with body mass index and predisposes to childhood and adult obesity. Science. 2007;316(5826):889–94.PubMedPubMedCentral Frayling TM, Timpson NJ, Weedon MN, Zeggini E, Freathy RM, Lindgren CM, et al. A common variant in the FTO gene is associated with body mass index and predisposes to childhood and adult obesity. Science. 2007;316(5826):889–94.PubMedPubMedCentral
63.
Zurück zum Zitat Wheeler E, Huang N, Bochukova EG, Keogh JM, Lindsay S, Garg S, et al. Genome-wide SNP and CNV analysis identifies common and low-frequency variants associated with severe early-onset obesity. Nat Genet. 2013;45(5):513–7.PubMedPubMedCentral Wheeler E, Huang N, Bochukova EG, Keogh JM, Lindsay S, Garg S, et al. Genome-wide SNP and CNV analysis identifies common and low-frequency variants associated with severe early-onset obesity. Nat Genet. 2013;45(5):513–7.PubMedPubMedCentral
64.
Zurück zum Zitat Shungin D, Winkler TW, Croteau-Chonka DC, Ferreira T, Locke AE, Magi R, et al. New genetic loci link adipose and insulin biology to body fat distribution. Nature. 2015;518(7538):187–96.PubMedPubMedCentral Shungin D, Winkler TW, Croteau-Chonka DC, Ferreira T, Locke AE, Magi R, et al. New genetic loci link adipose and insulin biology to body fat distribution. Nature. 2015;518(7538):187–96.PubMedPubMedCentral
65.
Zurück zum Zitat Monda KL, Chen GK, Taylor KC, Palmer C, Edwards TL, Lange LA, et al. A meta-analysis identifies new loci associated with body mass index in individuals of African ancestry. Nat Genet. 2013;45(6):690–6.PubMedPubMedCentral Monda KL, Chen GK, Taylor KC, Palmer C, Edwards TL, Lange LA, et al. A meta-analysis identifies new loci associated with body mass index in individuals of African ancestry. Nat Genet. 2013;45(6):690–6.PubMedPubMedCentral
66.
Zurück zum Zitat Felix JF, Bradfield JP, Monnereau C, van der Valk RJ, Stergiakouli E, Chesi A, et al. Genome-wide association analysis identifies three new susceptibility loci for childhood body mass index. Hum Mol Genet. 2016;25(2):389–403.PubMed Felix JF, Bradfield JP, Monnereau C, van der Valk RJ, Stergiakouli E, Chesi A, et al. Genome-wide association analysis identifies three new susceptibility loci for childhood body mass index. Hum Mol Genet. 2016;25(2):389–403.PubMed
67.
Zurück zum Zitat Akiyama M, Okada Y, Kanai M, Takahashi A, Momozawa Y, Ikeda M, et al. Genome-wide association study identifies 112 new loci for body mass index in the Japanese population. Nat Genet. 2017;49(10):1458–67.PubMed Akiyama M, Okada Y, Kanai M, Takahashi A, Momozawa Y, Ikeda M, et al. Genome-wide association study identifies 112 new loci for body mass index in the Japanese population. Nat Genet. 2017;49(10):1458–67.PubMed
68.
Zurück zum Zitat Cornelis MC, Flint A, Field AE, Kraft P, Han J, Rimm EB, et al. A genome-wide investigation of food addiction. Obesity (Silver Spring). 2016;24(6):1336–41.PubMedCentral Cornelis MC, Flint A, Field AE, Kraft P, Han J, Rimm EB, et al. A genome-wide investigation of food addiction. Obesity (Silver Spring). 2016;24(6):1336–41.PubMedCentral
69.
Zurück zum Zitat Yengo L, Sidorenko J, Kemper KE, Zheng Z, Wood AR, Weedon MN, et al. Meta-analysis of genome-wide association studies for height and body mass index in approximately 700000 individuals of European ancestry. Hum Mol Genet. 2018;27(20):3641–9.PubMedPubMedCentral Yengo L, Sidorenko J, Kemper KE, Zheng Z, Wood AR, Weedon MN, et al. Meta-analysis of genome-wide association studies for height and body mass index in approximately 700000 individuals of European ancestry. Hum Mol Genet. 2018;27(20):3641–9.PubMedPubMedCentral
70.
Zurück zum Zitat Ward LD, Kellis M. HaploReg: a resource for exploring chromatin states, conservation, and regulatory motif alterations within sets of genetically linked variants. Nucleic Acids Res. 2012;40(Database issue):D930–4.PubMed Ward LD, Kellis M. HaploReg: a resource for exploring chromatin states, conservation, and regulatory motif alterations within sets of genetically linked variants. Nucleic Acids Res. 2012;40(Database issue):D930–4.PubMed
71.
Zurück zum Zitat Graff M, Scott RA, Justice AE, Young KL, Feitosa MF, Barata L, et al. Genome-wide physical activity interactions in adiposity - a meta-analysis of 200,452 adults. PLoS Gen. 2017;13(4):e1006528. Graff M, Scott RA, Justice AE, Young KL, Feitosa MF, Barata L, et al. Genome-wide physical activity interactions in adiposity - a meta-analysis of 200,452 adults. PLoS Gen. 2017;13(4):e1006528.
72.
Zurück zum Zitat Pravenec M, Zidek V, Landa V, Mlejnek P, Silhavy J, Simakova M, et al. Mutant Wars2 gene in spontaneously hypertensive rats impairs brown adipose tissue function and predisposes to visceral obesity. Physiol Res. 2017;66(6):917–24.PubMed Pravenec M, Zidek V, Landa V, Mlejnek P, Silhavy J, Simakova M, et al. Mutant Wars2 gene in spontaneously hypertensive rats impairs brown adipose tissue function and predisposes to visceral obesity. Physiol Res. 2017;66(6):917–24.PubMed
73.
Zurück zum Zitat Samson SL, Garber AJ. Metabolic syndrome. Endocrinol Metab Clin N Am. 2014;43(1):1–23. Samson SL, Garber AJ. Metabolic syndrome. Endocrinol Metab Clin N Am. 2014;43(1):1–23.
74.
Zurück zum Zitat Henneman P, Aulchenko YS, Frants RR, van Dijk KW, Oostra BA, van Duijn CM. Prevalence and heritability of the metabolic syndrome and its individual components in a Dutch isolate: the Erasmus Rucphen family study. J Med Genet. 2008;45(9):572–7.PubMed Henneman P, Aulchenko YS, Frants RR, van Dijk KW, Oostra BA, van Duijn CM. Prevalence and heritability of the metabolic syndrome and its individual components in a Dutch isolate: the Erasmus Rucphen family study. J Med Genet. 2008;45(9):572–7.PubMed
75.
Zurück zum Zitat Lopez-Alvarenga JC, Solis-Herrera C, Kent JW, Jaju D, Albarwani S, Al Yahyahee S, et al. Prevalence and heritability of clusters for diagnostic components of metabolic syndrome: the Oman family study. Metab Syndr Relat Disord. 2008;6(2):129–35.PubMed Lopez-Alvarenga JC, Solis-Herrera C, Kent JW, Jaju D, Albarwani S, Al Yahyahee S, et al. Prevalence and heritability of clusters for diagnostic components of metabolic syndrome: the Oman family study. Metab Syndr Relat Disord. 2008;6(2):129–35.PubMed
76.
Zurück zum Zitat Chen Y, Kittles R, Zhou J, Chen G, Adeyemo A, Panguluri RK, et al. Calpain-10 gene polymorphisms and type 2 diabetes in West Africans: the Africa America Diabetes Mellitus (AADM) study. Ann Epidemiol. 2005;15(2):153–9.PubMed Chen Y, Kittles R, Zhou J, Chen G, Adeyemo A, Panguluri RK, et al. Calpain-10 gene polymorphisms and type 2 diabetes in West Africans: the Africa America Diabetes Mellitus (AADM) study. Ann Epidemiol. 2005;15(2):153–9.PubMed
77.
Zurück zum Zitat Chikowore T, Conradie KR, Towers GW, van Zyl T. Common variants associated with type 2 diabetes in a black south African population of Setswana descent: African populations diverge. Omics. 2015;19(10):617–26.PubMed Chikowore T, Conradie KR, Towers GW, van Zyl T. Common variants associated with type 2 diabetes in a black south African population of Setswana descent: African populations diverge. Omics. 2015;19(10):617–26.PubMed
78.
Zurück zum Zitat Guo F, Long W, Zhou W, Zhang B, Liu J, Yu B. FTO, GCKR, CDKAL1 and CDKN2A/B gene polymorphisms and the risk of gestational diabetes mellitus: a meta-analysis. Arch Gynecol Obstet. 2018;298(4):705–15.PubMed Guo F, Long W, Zhou W, Zhang B, Liu J, Yu B. FTO, GCKR, CDKAL1 and CDKN2A/B gene polymorphisms and the risk of gestational diabetes mellitus: a meta-analysis. Arch Gynecol Obstet. 2018;298(4):705–15.PubMed
79.
Zurück zum Zitat Ismail NA, Ragab S, Abd El Dayem SM, Baky A, Hamed M, Ahmed Kamel S, et al. Implication of CDKAL1 single-nucleotide polymorphism rs 9465871 in obese and non-obese Egyptian children. Med J Malaysia 2018;73(5):286–290 Ismail NA, Ragab S, Abd El Dayem SM, Baky A, Hamed M, Ahmed Kamel S, et al. Implication of CDKAL1 single-nucleotide polymorphism rs 9465871 in obese and non-obese Egyptian children. Med J Malaysia 2018;73(5):286–290
80.
Zurück zum Zitat Nfor ON, Wu MF, Lee CT, Wang L, Liu WH, Tantoh DM, et al. Body mass index modulates the association between CDKAL1 rs10946398 variant and type 2 diabetes among Taiwanese women. Sci Rep. 2018;8(1):13235.PubMedPubMedCentral Nfor ON, Wu MF, Lee CT, Wang L, Liu WH, Tantoh DM, et al. Body mass index modulates the association between CDKAL1 rs10946398 variant and type 2 diabetes among Taiwanese women. Sci Rep. 2018;8(1):13235.PubMedPubMedCentral
81.
Zurück zum Zitat Park S, Liu M, Kang S. Alcohol intake interacts with CDKAL1, HHEX, and OAS3 genetic variants, associated with the risk of type 2 diabetes by lowering insulin secretion in Korean adults. Alcohol Clin Exp Res. 2018;42(12):2326–36.PubMed Park S, Liu M, Kang S. Alcohol intake interacts with CDKAL1, HHEX, and OAS3 genetic variants, associated with the risk of type 2 diabetes by lowering insulin secretion in Korean adults. Alcohol Clin Exp Res. 2018;42(12):2326–36.PubMed
82.
Zurück zum Zitat Plengvidhya N, Chanprasert C, Chongjaroen N, Yenchitsomanus PT, Homsanit M, Tangjittipokin W. Impact of KCNQ1, CDKN2A/2B, CDKAL1, HHEX, MTNR1B, SLC30A8, TCF7L2, and UBE2E2 on risk of developing type 2 diabetes in Thai population. BMC Med Genet. 2018;19(1):93.PubMedPubMedCentral Plengvidhya N, Chanprasert C, Chongjaroen N, Yenchitsomanus PT, Homsanit M, Tangjittipokin W. Impact of KCNQ1, CDKN2A/2B, CDKAL1, HHEX, MTNR1B, SLC30A8, TCF7L2, and UBE2E2 on risk of developing type 2 diabetes in Thai population. BMC Med Genet. 2018;19(1):93.PubMedPubMedCentral
83.
Zurück zum Zitat Kanai M, Akiyama M, Takahashi A, Matoba N, Momozawa Y, Ikeda M, et al. Genetic analysis of quantitative traits in the Japanese population links cell types to complex human diseases. Nat Genet. 2018;50(3):390–400.PubMed Kanai M, Akiyama M, Takahashi A, Matoba N, Momozawa Y, Ikeda M, et al. Genetic analysis of quantitative traits in the Japanese population links cell types to complex human diseases. Nat Genet. 2018;50(3):390–400.PubMed
84.
Zurück zum Zitat Comuzzie AG, Cole SA, Laston SL, Voruganti VS, Haack K, Gibbs RA, et al. Novel genetic loci identified for the pathophysiology of childhood obesity in the Hispanic population. PLoS One. 2012;7(12):e51954.PubMedPubMedCentral Comuzzie AG, Cole SA, Laston SL, Voruganti VS, Haack K, Gibbs RA, et al. Novel genetic loci identified for the pathophysiology of childhood obesity in the Hispanic population. PLoS One. 2012;7(12):e51954.PubMedPubMedCentral
85.
Zurück zum Zitat Iyengar SK, Sedor JR, Freedman BI, Kao WH, Kretzler M, Keller BJ, et al. Genome-wide association and trans-ethnic meta-analysis for advanced diabetic kidney disease: Family Investigation of Nephropathy and Diabetes (FIND). PLoS Genet. 2015;11(8):e1005352.PubMedPubMedCentral Iyengar SK, Sedor JR, Freedman BI, Kao WH, Kretzler M, Keller BJ, et al. Genome-wide association and trans-ethnic meta-analysis for advanced diabetic kidney disease: Family Investigation of Nephropathy and Diabetes (FIND). PLoS Genet. 2015;11(8):e1005352.PubMedPubMedCentral
86.
Zurück zum Zitat Buniello A, MacArthur JAL, Cerezo M, Harris LW, Hayhurst J, Malangone C, et al. The NHGRI-EBI GWAS Catalog of published genome-wide association studies, targeted arrays and summary statistics 2019. Nucleic Acids Res. 2019 Jan 8;47(D1):D1005-d12.PubMedCentral Buniello A, MacArthur JAL, Cerezo M, Harris LW, Hayhurst J, Malangone C, et al. The NHGRI-EBI GWAS Catalog of published genome-wide association studies, targeted arrays and summary statistics 2019. Nucleic Acids Res. 2019 Jan 8;47(D1):D1005-d12.PubMedCentral
87.
Zurück zum Zitat Smith JA, Ware EB, Middha P, Beacher L, Kardia SL. Current applications of genetic risk scores to cardiovascular outcomes and subclinical phenotypes. Curr Epidemiol Rep. 2015;2(3):180–90.PubMedPubMedCentral Smith JA, Ware EB, Middha P, Beacher L, Kardia SL. Current applications of genetic risk scores to cardiovascular outcomes and subclinical phenotypes. Curr Epidemiol Rep. 2015;2(3):180–90.PubMedPubMedCentral
88.
Zurück zum Zitat Fernández-Rhodes L, Gong J, Haessler J, Franceschini N, Graff M, Nishimura KK, et al. Trans-ethnic fine-mapping of genetic loci for body mass index in the diverse ancestral populations of the Population Architecture using Genomics and Epidemiology (PAGE) study reveals evidence for multiple signals at established loci. Hum Genet. 2017;136(6):771–800.PubMedPubMedCentral Fernández-Rhodes L, Gong J, Haessler J, Franceschini N, Graff M, Nishimura KK, et al. Trans-ethnic fine-mapping of genetic loci for body mass index in the diverse ancestral populations of the Population Architecture using Genomics and Epidemiology (PAGE) study reveals evidence for multiple signals at established loci. Hum Genet. 2017;136(6):771–800.PubMedPubMedCentral
89.
Zurück zum Zitat Chikowore T, van Zyl T, Feskens EJ, Conradie KR. Predictive utility of a genetic risk score of common variants associated with type 2 diabetes in a black South African population. Diabetes Res Clin Pract. 2016;122:1–8.PubMed Chikowore T, van Zyl T, Feskens EJ, Conradie KR. Predictive utility of a genetic risk score of common variants associated with type 2 diabetes in a black South African population. Diabetes Res Clin Pract. 2016;122:1–8.PubMed
90.
Zurück zum Zitat • Martin AR, Gignoux CR, Walters RK, Wojcik GL, Neale BM, Gravel S, et al. Human demographic history impacts genetic risk prediction across diverse populations. Am J Hum Genet. 2017;100(4):635–49 This paper gives a significant perspective on the genetic risk score estimation across human populations, their bias toward European ancestry populations, and the potential to widen health disparity and impede the implementation of precision medicine if they are implemented in clinical settings serving diverse populations.PubMedPubMedCentral • Martin AR, Gignoux CR, Walters RK, Wojcik GL, Neale BM, Gravel S, et al. Human demographic history impacts genetic risk prediction across diverse populations. Am J Hum Genet. 2017;100(4):635–49 This paper gives a significant perspective on the genetic risk score estimation across human populations, their bias toward European ancestry populations, and the potential to widen health disparity and impede the implementation of precision medicine if they are implemented in clinical settings serving diverse populations.PubMedPubMedCentral
91.
Zurück zum Zitat Domingue BW, Belsky DW, Harris KM, Smolen A, McQueen MB, Boardman JD. Polygenic risk predicts obesity in both white and black young adults. PLoS One. 2014;9(7):e101596.PubMedPubMedCentral Domingue BW, Belsky DW, Harris KM, Smolen A, McQueen MB, Boardman JD. Polygenic risk predicts obesity in both white and black young adults. PLoS One. 2014;9(7):e101596.PubMedPubMedCentral
92.
Zurück zum Zitat Steinsbekk S, Belsky D, Guzey IC, Wardle J, Wichstrom L. Polygenic risk, appetite traits, and weight gain in middle childhood: a longitudinal study. JAMA Pediatr. 2016;170(2):e154472.PubMedPubMedCentral Steinsbekk S, Belsky D, Guzey IC, Wardle J, Wichstrom L. Polygenic risk, appetite traits, and weight gain in middle childhood: a longitudinal study. JAMA Pediatr. 2016;170(2):e154472.PubMedPubMedCentral
93.
Zurück zum Zitat Sardahaee FS, Holmen TL, Micali N, Kvaloy K. Effects of single genetic variants and polygenic obesity risk scores on disordered eating in adolescents - the HUNT study. Appetite. 2017;118:8–16.PubMed Sardahaee FS, Holmen TL, Micali N, Kvaloy K. Effects of single genetic variants and polygenic obesity risk scores on disordered eating in adolescents - the HUNT study. Appetite. 2017;118:8–16.PubMed
94.
Zurück zum Zitat Wolf EJ, Miller DR, Logue MW, Sumner J, Stoop TB, Leritz EC, et al. Contributions of polygenic risk for obesity to PTSD-related metabolic syndrome and cortical thickness. Brain Behav Immun. 2017;65:328–36.PubMedPubMedCentral Wolf EJ, Miller DR, Logue MW, Sumner J, Stoop TB, Leritz EC, et al. Contributions of polygenic risk for obesity to PTSD-related metabolic syndrome and cortical thickness. Brain Behav Immun. 2017;65:328–36.PubMedPubMedCentral
95.
Zurück zum Zitat Fang J, Gong C, Wan Y, Xu Y, Tao F, Sun Y. Polygenic risk, adherence to a healthy lifestyle, and childhood obesity. Pediatr Obes. 2019;14(4):e12489.PubMed Fang J, Gong C, Wan Y, Xu Y, Tao F, Sun Y. Polygenic risk, adherence to a healthy lifestyle, and childhood obesity. Pediatr Obes. 2019;14(4):e12489.PubMed
96.
Zurück zum Zitat Torkamani A, Topol E. Polygenic risk scores expand to obesity. Cell. 2019;177(3):518–20.PubMed Torkamani A, Topol E. Polygenic risk scores expand to obesity. Cell. 2019;177(3):518–20.PubMed
97.
Zurück zum Zitat Khera AV, Chaffin M, Wade KH, Zahid S, Brancale J, Xia R, et al. Polygenic prediction of weight and obesity trajectories from birth to adulthood. Cell. 2019;177(3):587–96.e9.PubMedPubMedCentral Khera AV, Chaffin M, Wade KH, Zahid S, Brancale J, Xia R, et al. Polygenic prediction of weight and obesity trajectories from birth to adulthood. Cell. 2019;177(3):587–96.e9.PubMedPubMedCentral
98.
Zurück zum Zitat Feero WG. Introducing “Genomics and Precision Health”. JAMA. 2017;317(18):1842–3.PubMed Feero WG. Introducing “Genomics and Precision Health”. JAMA. 2017;317(18):1842–3.PubMed
99.
Zurück zum Zitat Mulder N. Development to enable precision medicine in Africa. Pers Med. 2017;14(6):467–70. Mulder N. Development to enable precision medicine in Africa. Pers Med. 2017;14(6):467–70.
100.
Zurück zum Zitat Letai A. Functional precision cancer medicine-moving beyond pure genomics. Nat Med. 2017;23(9):1028–35.PubMed Letai A. Functional precision cancer medicine-moving beyond pure genomics. Nat Med. 2017;23(9):1028–35.PubMed
101.
Zurück zum Zitat Currie G, Delles C. Precision medicine and personalized medicine in cardiovascular disease. Adv Exp Med Biol. 2018;1065:589–605.PubMed Currie G, Delles C. Precision medicine and personalized medicine in cardiovascular disease. Adv Exp Med Biol. 2018;1065:589–605.PubMed
Metadaten
Titel
Genetic Basis of Obesity and Type 2 Diabetes in Africans: Impact on Precision Medicine
verfasst von
Ayo P. Doumatey
Kenneth Ekoru
Adebowale Adeyemo
Charles N. Rotimi
Publikationsdatum
01.10.2019
Verlag
Springer US
Erschienen in
Current Diabetes Reports / Ausgabe 10/2019
Print ISSN: 1534-4827
Elektronische ISSN: 1539-0829
DOI
https://doi.org/10.1007/s11892-019-1215-5

Weitere Artikel der Ausgabe 10/2019

Current Diabetes Reports 10/2019 Zur Ausgabe

Obesity (KM Gadde, Section Editor)

Medical Devices in Obesity Treatment

Immunology, Transplantation, and Regenerative Medicine (L Piemonti and V Sordi, Section Editors)

Targeting Stem Cell-Derived Tissue-Associated Regulatory T Cells for Type 1 Diabetes Immunotherapy

Obesity (KM Gadde, Section Editor)

Predictive Mathematical Models of Weight Loss

Microvascular Complications—Neuropathy (R Pop-Busui, Section Editor)

Epidemiology of Peripheral Neuropathy and Lower Extremity Disease in Diabetes

Microvascular Complications—Retinopathy (DL Chao and G Yiu, Section Editors)

Surgical Innovations in the Treatment of Diabetic Macular Edema and Diabetic Retinopathy

Leitlinien kompakt für die Innere Medizin

Mit medbee Pocketcards sicher entscheiden.

Seit 2022 gehört die medbee GmbH zum Springer Medizin Verlag

Reizdarmsyndrom: Diäten wirksamer als Medikamente

29.04.2024 Reizdarmsyndrom Nachrichten

Bei Reizdarmsyndrom scheinen Diäten, wie etwa die FODMAP-arme oder die kohlenhydratreduzierte Ernährung, effektiver als eine medikamentöse Therapie zu sein. Das hat eine Studie aus Schweden ergeben, die die drei Therapieoptionen im direkten Vergleich analysierte.

Notfall-TEP der Hüfte ist auch bei 90-Jährigen machbar

26.04.2024 Hüft-TEP Nachrichten

Ob bei einer Notfalloperation nach Schenkelhalsfraktur eine Hemiarthroplastik oder eine totale Endoprothese (TEP) eingebaut wird, sollte nicht allein vom Alter der Patientinnen und Patienten abhängen. Auch über 90-Jährige können von der TEP profitieren.

Niedriger diastolischer Blutdruck erhöht Risiko für schwere kardiovaskuläre Komplikationen

25.04.2024 Hypotonie Nachrichten

Wenn unter einer medikamentösen Hochdrucktherapie der diastolische Blutdruck in den Keller geht, steigt das Risiko für schwere kardiovaskuläre Ereignisse: Darauf deutet eine Sekundäranalyse der SPRINT-Studie hin.

Bei schweren Reaktionen auf Insektenstiche empfiehlt sich eine spezifische Immuntherapie

Insektenstiche sind bei Erwachsenen die häufigsten Auslöser einer Anaphylaxie. Einen wirksamen Schutz vor schweren anaphylaktischen Reaktionen bietet die allergenspezifische Immuntherapie. Jedoch kommt sie noch viel zu selten zum Einsatz.

Update Innere Medizin

Bestellen Sie unseren Fach-Newsletter und bleiben Sie gut informiert.