OBJECTIVE: To identify quantitative trait loci (QTL) for three obesity phenotypes: body mass index (BMI), fat mass (FM) and percent body fat (PBF) in West Africans with type 2 diabetes (T2DM). DESIGN: An affected sibling pair (ASP) design, in which both siblings had T2DM. Obesity was analyzed as a quantitative trait using a variance components approach. SUBJECTS: Sib-pairs affected with T2DM from the Africa America Diabetes Mellitus (AADM) study, comprising 321 sibling pairs and 36 half-sibling pairs. MEASUREMENTS: Weight was measured on an electronic scale to the nearest 0.1 kg, and height was measured with a stadiometer to the nearest 0.1 cm. Body composition was estimated using bioelectric impedance analysis (BIA). Genotyping was carried out at the Center for Inherited Disease Research (CIDR) with a panel of 390 trinucleotide and tetranucleotide repeats. RESULTS: The obesity-related phenotype showing the strongest linkage evidence was PBF on chromosome 2 (LOD 3.30 at 72.6 cM, marker D2S739). Suggestive linkage to FM was found on chromosomes 2 (LOD 2.56 at 80.4 cM) and 5 (LOD 2.25 at 98 cM, marker D5S1725). The highest LOD score for BMI was 1.68 (chromosome 4, 113.8 cM). The areas of linkage for the three phenotypes showed some clustering as all three phenotypes were linked to the same regions of 2p13 and 5q14, and our study replicated linkage evidence for several regions previously reported in other studies. CONCLUSION: We obtained evidence for several QTLs on chromosome 2, 4 and 5 to three obesity phenotypes. This study provides data on the genetics of obesity in populations that are currently under represented in the global effort directed at understanding the pathophysiology of excess adiposity in free living individuals.
OBJECTIVE: To identify quantitative trait loci (QTL) for three obesity phenotypes: body mass index (BMI), fat mass (FM) and percent body fat (PBF) in West Africans with type 2 diabetes (T2DM). DESIGN: An affected sibling pair (ASP) design, in which both siblings had T2DM. Obesity was analyzed as a quantitative trait using a variance components approach. SUBJECTS: Sib-pairs affected with T2DM from the Africa America Diabetes Mellitus (AADM) study, comprising 321 sibling pairs and 36 half-sibling pairs. MEASUREMENTS: Weight was measured on an electronic scale to the nearest 0.1 kg, and height was measured with a stadiometer to the nearest 0.1 cm. Body composition was estimated using bioelectric impedance analysis (BIA). Genotyping was carried out at the Center for Inherited Disease Research (CIDR) with a panel of 390 trinucleotide and tetranucleotide repeats. RESULTS: The obesity-related phenotype showing the strongest linkage evidence was PBF on chromosome 2 (LOD 3.30 at 72.6 cM, marker D2S739). Suggestive linkage to FM was found on chromosomes 2 (LOD 2.56 at 80.4 cM) and 5 (LOD 2.25 at 98 cM, marker D5S1725). The highest LOD score for BMI was 1.68 (chromosome 4, 113.8 cM). The areas of linkage for the three phenotypes showed some clustering as all three phenotypes were linked to the same regions of 2p13 and 5q14, and our study replicated linkage evidence for several regions previously reported in other studies. CONCLUSION: We obtained evidence for several QTLs on chromosome 2, 4 and 5 to three obesity phenotypes. This study provides data on the genetics of obesity in populations that are currently under represented in the global effort directed at understanding the pathophysiology of excess adiposity in free living individuals.
Authors: Karolina Aberg; Guangyun Sun; Diane Smelser; Subba Rao Indugula; Hui-Ju Tsai; Matthew S Steele; John Tuitele; Ranjan Deka; Stephen T McGarvey; Daniel E Weeks Journal: Hum Biol Date: 2008-04 Impact factor: 0.553
Authors: K Zhang; B H Cheng; L L Yang; Z P Wang; H L Zhang; S S Xu; S Z Wang; Y X Wang; H Zhang; H Li Journal: J Anim Sci Date: 2017-11 Impact factor: 3.159
Authors: Guanjie Chen; Ayo P Doumatey; Jie Zhou; Lin Lei; Amy R Bentley; Fasil Tekola-Ayele; Sally N Adebamowo; Jennifer L Baker; Olufemi Fasanmade; Godfrey Okafor; Benjamin Eghan; Kofi Agyenim-Boateng; Albert Amoah; Clement Adebamowo; Joseph Acheampong; Thomas Johnson; Johnnie Oli; Daniel Shriner; Adebowale A Adeyemo; Charles N Rotimi Journal: Obesity (Silver Spring) Date: 2017-03-13 Impact factor: 5.002
Authors: Giorgio Sirugo; Branwen J Hennig; Adebowale A Adeyemo; Alice Matimba; Melanie J Newport; Muntaser E Ibrahim; Kelli K Ryckman; Alessandra Tacconelli; Renato Mariani-Costantini; Giuseppe Novelli; Himla Soodyall; Charles N Rotimi; Raj S Ramesar; Sarah A Tishkoff; Scott M Williams Journal: Hum Genet Date: 2008-05-30 Impact factor: 4.132
Authors: Fang Yang; Xiang Ding Chen; Li Jun Tan; Jie Shen; Ding You Li; Fang Zhang; Bao Yong Sha; Hong Wen Deng Journal: Biomed Environ Sci Date: 2014-05 Impact factor: 3.118
Authors: Tuomas O Kilpeläinen; Sheila A Bingham; Kay-Tee Khaw; Nicholas J Wareham; Ruth J F Loos Journal: Hum Mol Genet Date: 2009-06-15 Impact factor: 6.150