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Sex-specific findings from a genome-wide linkage analysis of human fatness in non-Hispanic whites and African Americans: The HyperGEN Study

Abstract

OBJECTIVE:

To conduct a full genome search for genes potentially influencing two related phenotypes: body mass index (BMI, kg/m2) and percent body fat (PBF) from bioelectric impedance in men and women.

DESIGN:

A total of 3383 participants, 1348 men and 2035 women; recruitment was initiated with hypertensive sibpairs and expanded to first-degree relatives in a multicenter study of hypertension genetics.

MEASUREMENTS:

Genotypes for 387 highly polymorphic markers spaced to provide a 10 cM map (CHLC-8) were generated by the NHLBI Mammalian Genotyping Service (Marshfield, WI, USA). Quantitative trait loci for obesity phenotypes, BMI and PBF, were examined with a variance components method using SOLAR, adjusting for hypertensive status, ethnicity, center, age, age2, sex, and age2 × sex. As we detected a significant genotype-by-sex interaction in initial models and because of the importance of sex effects in the expression of these phenotypes, models thereafter were stratified by sex. No genotype-by-ethnicity interactions were found.

RESULTS:

A QTL influencing PBF in women was detected on chromosome12q (12q24.3–12q24.32, maximum empirical LOD score=3.8); a QTL influencing this phenotype in men was found on chromosome 15q (15q25.3, maximum empirical LOD score=3.0). These QTLs were detected in African-American and white women (12q) and men (15q). QTLs influencing both BMI and PBF were found over a broad region on chromosome 3 in men. QTLs on chromosomes 3 and 12 were found in the combined sample of men and women, but with weaker significance.

CONCLUSION:

The locations with highest LOD scores have been previously reported for obesity phenotypes, indicating that at least two genomic regions influence obesity-related traits. Furthermore, our results indicate the importance of considering context-dependent effects in the search for obesity QTLs.

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References

  1. Pi-Sunyer FX . Medical hazards of obesity. Ann Intern Med 1993; 119 (Part 2): 655–660.

    Article  CAS  PubMed  Google Scholar 

  2. Flegal KM, Caroll MD, Kuczmarski RJ, Johnson CL . Overweight and obesity in the United States: prevalence and trends, 1960–1994. Int J Obes Relat Metab Disord 1998; 22: 39–47.

    Article  CAS  PubMed  Google Scholar 

  3. Kuczmarski RJ, Flegal KM, Campbell SM, Johnson CL . Increasing prevalence of overweight among US adults. The National Health and Nutrition Examination Surveys, 1960–1991. JAMA 1994; 272: 205–211.

    Article  CAS  PubMed  Google Scholar 

  4. Troiano RP, Flegal KM . Overweight children and adolescents: description, epidemiology and demographics. Pediatrics 1998; 101: 497–504.

    CAS  PubMed  Google Scholar 

  5. Obesity: Preventing and managing the global epidemic. Report of a WHO consultation on obesity. Geneva, Switzerland: World Health Organization; 1998.

  6. Flegal KM, Carroll MD, Ogden CL, Johnson CL . Prevalence and trends in obesity among US adults, 1999–2000. JAMA 2002; 288: 1723–1727.

    Article  PubMed  Google Scholar 

  7. Hill JO, Peters JC . Environmental contributions to the obesity epidemic. Science 1998; 280: 1371–1374.

    Article  CAS  PubMed  Google Scholar 

  8. Adams TD, Hunt SC, Mason LA, Ramirez ME, Fisher AG, Williams RR . Familial aggregation of morbid obesity. Obes Res 1993; 1: 261–270.

    Article  CAS  PubMed  Google Scholar 

  9. Lee JH, Reed DR, Price RA . Familial risk ratios for extreme obesity; implications for mapping human obesity genes. Int J Obes Relat Metab Disord 1997; 21: 935–940.

    Article  CAS  PubMed  Google Scholar 

  10. Comuzzie AG, Allison DB . The search for human obesity genes. Science 1998; 280: 1374–1377.

    Article  CAS  PubMed  Google Scholar 

  11. Borecki IB, Blangero J, Rice T, Perusse L, Bouchard C, Rao DC . Evidence for at least two major loci influencing human fatness. Am J Hum Genet 1998; 63: 831–838.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  12. Lee JH, Reed DR, LI W-D, Xu W, Joo E-J, Kikler RL, Nanthakumar E, Morth M, Sakul H, Bell C . Genome scan for human obesity and linkage to markers 20q13. Am J Hum Genet 1999; 64: 196–209.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  13. Norman RA, Thompson DB, Foroud T, Garvey WT, Bennett PH, Bogardus C, Ravussin E, other members of the Pima Diabetes Gene Group. Genomewide search for genes influencing percent body fat in Pima Indians: suggestive linkage at chromosome 11q21–q22. Am J Hum Genet 1997; 60: 166–173.

    CAS  PubMed  PubMed Central  Google Scholar 

  14. Hanson RL, EHM MG, Pettitt DJ, Prochazka M, Thompson DB, Timberlake D, Foroud T, Kobes S, Baier L, Burns DK, Almasy L, Blangero J, Garvey WT, Bennett PH, Knowler WC . An autosomal genomic scan for loci linked to type II diabetes mellitus and body-mass index in Pima Indians. Am J Hum Genet 1998; 63: 1130–1138.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  15. Comuzzie AG, Hixson JE, Almasy L, Mitchell BD, Mahaney MC, Dyer TD, Stern MP, MacCluer JW, Blangero J . A major quantitative trait locus determining serum leptin levels and fat mass is located on human chromosome 2. Nat Genet 1997; 15: 273–276.

    Article  CAS  PubMed  Google Scholar 

  16. Mitchell BD, Cole SA, Comuzzie AG, Almasy L, Blangero J, MacCluer JW, Hixson JE . A quantitative trait locus influencing BMI maps to the region of the -3 adrenergic receptor. Diabetes 1999; 48: 1863–1867.

    Article  CAS  PubMed  Google Scholar 

  17. Hsueh W-C, Mitchell BD, Schneider JL, St Jean PL, Polliln TI, EHM MG, Wagner MJ, Burns DK, Sakul H, Bell CJ, Shuldiner AR . Genome-wide scan of obesity in the Old Order Amish. J Clin Endocrinol Metab 2001; 86: 1199–1205.

    CAS  PubMed  Google Scholar 

  18. Ohman M, Oksanen L, Kaprio J, Koskenvuo M, Mustajoki P, Rissanen A, Salmi J, Kontula K, Peltonen L . Genome-wide scan of obesity in Finnish sibpairs reveals linkage to chromosome Xq24. J Clin Endocrinol Metab 2000; 85: 3183–3190.

    CAS  PubMed  Google Scholar 

  19. Hager J, Dina C, Francke S, Dubois S, Houari M, Vatin V, Vaillant E, Lorentz N, Basdevant A, Clement K, Guy-Grand B, Froguel P . A genome-wide scan for human obesity genes reveals a major susceptibility locus on chromosome 10. Nat Genet 1998; 20: 304–308.

    Article  CAS  PubMed  Google Scholar 

  20. Hinney A, Ziegler A, Oeffner F, Wedewardt C, Vogel M, Wulftange H, Geller F, Stübing K, Siegfried W, Goldschmidt HP, Remschmidt H, Hebebrand J . Independent confirmation of a major locus for obesity on chromosome 10. J Clin Endocrinol Metab 2000; 85: 2962–2965.

    Article  CAS  PubMed  Google Scholar 

  21. Price RA, Li W-D, Bernstein A, Crystal A, Golding EM, Weisberg SJ, Zuckerman WA . A locus affecting obesity in human region 10p12. Diabetologia 2001; 44: 363–366.

    Article  CAS  PubMed  Google Scholar 

  22. Kissebah AH, Sonnenberg GE, Myklebust J, Goldstein M, Broman K, James RG, Marks JA, Krakower GR, Jacob HJ, Weber J, Martin L, Blangero J, Comuzzie AG . Quantitative trait loci on chromosomes 3 and 17 influence phenotypes of the metabolic syndrome. Proc Natl Acad Sci USA 2000; 97: 14478–14483.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  23. Feitosa MF, Borecki IB, Rich SS, Arnett DK, Sholinsky P, Myers RH, Leppert M, Province MA . Quantitative-trait loci influencing body-mass index reside on chromosomes 7 and 13: The National Heart, Lung, and Blood Institute Family Heart Study. Am J Hum Genet 2002; 70: 72–82.

    Article  CAS  PubMed  Google Scholar 

  24. Saar K, Geller F, Rüschendorf F, Reis A, Friedel S, Schäuble N, Nürnberg P, Siegfried W, Goldschmidt HP, Schäfer H, Zieger A, Remschmidt H, Hinney A, Hebebrand J . Genome scan for childhood and adolescent obesity in German families. Pediatrics 2003; 111: 321–327.

    Article  PubMed  Google Scholar 

  25. Palmer LJ, Buxbaum SG, Larkin E, Patel SR, Elston RC, Tishler PV, Redline S . A whole-genome scan for obstruction sleep apnea and obesity. Am J Hum Genet 2003; 72: 340–350.

    Article  CAS  PubMed  Google Scholar 

  26. Zhu X, Cooper RS, Luke A, Chen G, Wu X, Kan D, Chakravarti A, Weder A . A genome-wide scan for obesity in African-Americans. Diabetes 2002; 51: 541–544.

    Article  CAS  PubMed  Google Scholar 

  27. Deng HW, Deng H, Liu YJ, Liu YZ, Xu FH, Shen H, Conway T, Li JL, Huang QY, Davies KM, Recker RR . A genomewide linkage scan for quantitative-trait loci for obesity phenotypes. Am J Hum Genet 2002; 70: 1138–1151.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  28. Atwood LD, Heard-Costa NL, Cupples LA, Jaquish CE, Wilson PWF, D’Agostino RB . Genomewide linkage analysis of body mass index across 28 years of the Framingham Heart Study. Am J Hum Genet 2002; 71: 1044–1050.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  29. Wu X, Cooper RS, Borecki I, Hanis C, Bray M, Lewis CE, Zhu X, Kan D, Luke A, Curb D . A combined analysis of genomewide linkage scans for body mass index, from the National Heart, Lung, and Blood Institute Family Blood Pressure Program. Am J Hum Genet 2002; 70: 1247–1256.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  30. Duggirala R, Blangero J, Almasy L, Arya R, Dyer TD, Williams KL, Leach RJ, O’Connell P, Stern MP . A major locus for fasting insulin concentrations and insulin resistance on chromosome 6q with strong pleiotropic effects on obesity-related phenotypes in nondiabetic Mexican Americans. Am J Hum Genet 2001; 68: 1149–1164.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  31. Watanable RM, Ghosh S, Langefeld CD, Valle TT, Hauser ER, Magnuson VL, Mohlke KL, Silander K, Ally DS, Epstein MP, Fingerlin TE, Kaleta HS, Lange EM, Li C, McEachin RC, Stringham HM, Trager E, White PP, Balow J, Birznieks G, Change J, Eldridge W, Erodos MR, Karanjawala ZE, Knapp JI, Kudelko K, Martin C, Morales-Mena A, Musick A, Musick T, Pfahl C, Porter R, Rayman JB, Rha D, Segal L, Shapiro S, Sharaf R, Shurtleff B, So A, Tannenbaum J, Te C, Rovar J, Unni A, Welch C, Whiten R, Witt A, Kohtamaki K, Ehnholm C, Eriksson J, Tiovanen L, Vidgen G, Nylund SJ, Tuomilehto-Wolf E, Ross EH, Demirchyan E, Hagopian WA, Buchanan TA, Tuomilehto J, Bergman RN, Collins FS, Boehnke M . The Finland-United States investigator of non-insulin-dependent diabetes mellitus genetics (Fusion) study. II. An autosomal geneone scan for diabetes-related quantitative-trait loci. Am J Hum Genet 2000; 67: 1186–1200.

    Google Scholar 

  32. Adeyemo A, Luke A, Cooper R, Wu X, Tayo B, Zhu X, Rotimi C, Bouzekri N, Ward R . A genome-wide scan for body mass index among Nigerian Families. Obes Res 2003; 11: 266–273.

    Article  PubMed  Google Scholar 

  33. Williams RR, Rao DC, Ellison RC, Arnett DK, Heiss G, Oberman A, Eckfeldt JH, Leppert MF, Province MA, Mockrin SC, Hunt SC, for the HyperGEN Investigators. NHLBI Family Blood Pressure Program: methodology and recruitment in the HyperGEN Network. Ann Epidemiol 2000; 10: 389–400.

    Article  CAS  PubMed  Google Scholar 

  34. The FBPP Investigators. Multi-center genetic study of hypertension. The Family Blood Pressure Program (FBPP). Hypertension 2002; 39: 3–9.

  35. Higgins M, Province M, Heiss G, Eckfeldt J, Ellison RC, Folsom AR, Rao DC, Sprafka JM, Williams R, for the NHLBI Family Heart Study. Objectives and design. Am J Epidemiol 1996; 143: 1219–1228.

    Article  CAS  PubMed  Google Scholar 

  36. Roubenoff R, Baumgartner RN, Harris TB et al. Application of bioelectrical impedance analysis to elderly populations. J Gerontol Med Sci 1997; 52A: M129–M136.

    Article  Google Scholar 

  37. Amos CI . Robust variance-components approach for assessing genetic linkage in pedigrees. Am J Hum Genet 1994; 54: 535–543.

    CAS  PubMed  PubMed Central  Google Scholar 

  38. Almasy L, Blangero J . Multipoint quantitative-trait linkage analysis in general pedigrees. Am J Hum Genet 1998; 62: 1198–1211.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  39. Blangero J, Almasy L . Multipoint oligogenic linkage analysis of quantitative traits. Genet Epidemiol 1997; 14: 959–964.

    Article  CAS  PubMed  Google Scholar 

  40. Hopper JL, Mathews JD . Extensions to multivariate normal models for pedigree analysis. Ann Hum Genet 1982; 46: 373–383.

    Article  CAS  PubMed  Google Scholar 

  41. Allison DB, Neale MC, Zannolli R, Schork NJ, Amos CI, Blangero J . Testing the robustness of the likelihood-ratio test in a variance-component quantitative-trait loci-mapping procedure. Am J Hum Genet 1999; 65: 531–544.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  42. Goldgar DE . Multipoint analysis of human quantitative genetic variation. Am J Hum Genet 1990; 47: 957–967.

    CAS  PubMed  PubMed Central  Google Scholar 

  43. Abecasis GR, Cherny SS, Cookson WO, Cardon LR . Merlin-rapid analysis of dense genetic maps using sparse gene flow trees. Nat Genet 2002; 30: 97–101.

    Article  CAS  PubMed  Google Scholar 

  44. Robertson A . The sampling variance of the genetic correlation coefficient. Biometrics 1959; 15: 469–485.

    Article  Google Scholar 

  45. Eisen EJ, Legates JE . Genotype–sex interaction and the genetic correlation between the sexes for body weight in Mus musculus. Genetics 1966; 54: 611–623.

    CAS  PubMed  PubMed Central  Google Scholar 

  46. Comuzzie AG, Blangero J, Mahaney MC, Mitchell BD, Stern MP, MacCluer JW . The quantitative genetics of sexual dimorphism in body fat measurements. Am J Hum Biol 1993; 5: 725–734.

    Article  PubMed  Google Scholar 

  47. Self SB, Kiang KY . Asymptotic properties of maximum likelihood estimators and likelihood ratio tests under nonstandard conditions. J Am Stat Assoc 1987; 82: 605–610.

    Article  Google Scholar 

  48. Williams JT, Van Eerdewegh P, Almasy L, Blangero J . Joint multipoint analysis of multivariate qualitative and quantitative traits. I. Likelihood formation and simulation results. Am J Hum Genet 1999; 65: 1134–1147.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  49. Williams JT, Begleiter H, Porjesz B, Edenberg HJ, Foroud T, Reich T, Goate A, Van Eerdewegh P, Almasy L, Blangero J . Joint multipoint analysis of multivariate qualitative and quantitative traits. II. Alcoholism and event-related potentials. Am J Hum Genet 1999; 65: 1148–1160.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  50. Blangero J, Williams JT, Almasy L . Variance component methods for detecting complex trail loci. Adv Genet 2001; 42: 151–182.

    Article  CAS  PubMed  Google Scholar 

  51. Rao DC, Gu C . False positives and false negatives in genome scans. Adv Genet 2001; 42: 487–498.

    Article  CAS  PubMed  Google Scholar 

  52. Pietrobelli A, Allison DB, Heshka S, Heo M, Wang ZM, Bertkau A, Laferrere B, Rosenbaum M, Aloia JF, Pi-Sunyer FX, Heymsfield SB . Sexual dimorphism in the energy content of weight change. Int J Obes Relat Metab Disord 2002; 26: 1339–1348.

    Article  CAS  PubMed  Google Scholar 

  53. Lemieux S, Prud’homme D, Bouchard C, Tremblay A, Despres J-P . Sex differences in the relation of visceral adipose tissue accumulation to total body fatness. Am J Clin Nutr 1993; 58: 463–467.

    Article  CAS  PubMed  Google Scholar 

  54. Pietiläinen KH, Kaprio J, Rissanen A, Viken FJ, Rose RJ . Distribution and heritability of BMI in Finnish adolescents aged 16 y and 17 y: a study of 4884 twins and 2509 singeltons. Int J Obes Relat Metab Disord 1999; 23: 107–115.

    Article  PubMed  Google Scholar 

  55. Harris JR, Tambs K, Magnus P . Sex-specific effects for body mass index in the new Norwegian twin panel. Genet Epidemiol 1995; 12: 251–265.

    Article  CAS  PubMed  Google Scholar 

  56. Borecki IB, Bonney GE, Rice T, Bouchard C, Rao DC . Influence of genotype-dependent effects of covariates on the outcome of segregation analysis of the body mass index. Am J Hum Genet 1993; 53: 676–687.

    CAS  PubMed  PubMed Central  Google Scholar 

  57. Klöting I, Kovacs P, van den Brandt J . Sex-specific and sex-independent quantitative trait loci for facets of the metabolic syndrome in WOKW rats. Biochem Biophys Res Commun 2001; 284: 150–156.

    Article  CAS  PubMed  Google Scholar 

  58. Machinal F, Dieupdonne MN, Leneveu MC, Pecquery R, Giudicelli Y . In vivo and in vitro ob gene expression and leptin secretion in rat adipocytes: evidence for a regional specific regulation by sex steroid hormones. Endocrinol 1999; 140: 1567–1574.

    Article  CAS  Google Scholar 

  59. Kolehmainen M, Vidal H, Ohisalo JJ, Pirinen E, Alhava E, Uusitupa MIJ . Hormone sensitive lipase expression and adipose tissue metabolism show gender difference in obese subjects after weight loss. Int J Obes Relat Metab Disord 2002; 26: 6–16.

    Article  CAS  PubMed  Google Scholar 

  60. Costet P, Legendre C, More J Edgar A, Galtier P, Pineau T . Peroxisome proliferators-activated receptor α-isoform deficiency leads to progressive dyslipidemia with sexually dimorphic obesity and steatosis. J Biol Chem 1998; 273: 29577–29585.

    Article  CAS  PubMed  Google Scholar 

  61. Chagnon YC, Willmore JH, Borecki IB, Gagnon J, Perusse L, Chagnon M, Collier GR, Leon AS, Skinner JS, Rao DC, Bouchard C . Associations between the leptin receptor gene and adiposity in middle-aged Caucasian males from the HERITAGE family study. J Clin Endocrinol Metab 2000; 85: 29–34.

    CAS  PubMed  Google Scholar 

  62. Jiang Y, Wilk JB, Borecki I, Williamson S, DeStefano AL, Liu J, Ellison RC, Province M, Myers RH . Common haplotypes in the 5′ region of the leptin gene are associated with body mass index in men from the NHLBI Family Heart Study. Am J Hum Genet 2004; 75: 220–230.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  63. Commuzzie AG, Funahasi T, Sonnenberg G, Martin LJ, Jacob HJ, Black AE, Maas D, Takahashi M, Kihara S, Tanaka S, Matsuzawa Y, Blangero J, Cohen D, Kissebah A . The genetic basis of plasma variation in adiponectin, a global endophenotype for obesity and the metabolic syndrome. J Clin Endocrinol Metab 2001; 86: 4221–4225.

    Article  Google Scholar 

  64. Vionnet N, Hani EH, Dupont S, Gallina S, Francke S, Dotte S, De Matos F, Durand E, Lepretre F, Lecoeur C, Gallina P, Zekiri L, Dina C, Froguel P . Genomewide search for type 2 diabetes-susceptibility genes in French whites: evidence for a novel susceptibility locus for early-onset diabetes on chromosome 3q27-qter and independent replication of a type 2-diabetes locus on chromosome 1q21–q24. Am J Hum Genet 2000; 67: 1470–1480.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  65. Rice T, Chagnon YC, Pérusse L, Borecki IB, Ukkola O, Tankinen T, Gagnon J, Leon AS, Skinner JS, Wilmore JH, Bouchard C, Rao DC . A genomewide linkage scan for abdominal subcutaneous and visceral fat in black and white families: The HERITAGE Family Study. Diabetes 2002; 51: 848–855.

    Article  CAS  PubMed  Google Scholar 

  66. Walder K, Hanson RL, Kobes S, Knowler WC, Ravussin E . An autosomal genomic scan for loci linked to plasma leptin concentration in Pima Indians. Int J Obes Relat Metab Disord 2000; 24: 559–565.

    Article  CAS  PubMed  Google Scholar 

  67. Perusse L, Rice T, Chagnon YC, Després J-P, Lemieux S, Roy S, Lacaille M, Ho-Kim M-A, Chagnon M, Province MA, Rao DC, Bouchard C . A genome-wide scan for abdominal fat assessed by computed tomography in the Quebec Family Study. Diabetes 2001; 50: 614–621.

    Article  CAS  PubMed  Google Scholar 

  68. Acton SL, Rigotti A, Landschulz KT, Xu S, Hobb HH, Krieger M . Identification of scavenger receptor SR-BI as a high density lipoprotein receptor. Science 1996; 271: 518–520.

    Article  CAS  PubMed  Google Scholar 

  69. Acton SL, Scherer PE, Lodish HF, Krieger M . Expression cloning of SR–BI, a CD36-related class B scavenger receptor. J Biol Chem 1994; 269: 21003–21009.

    CAS  PubMed  Google Scholar 

  70. Acton S, Osgood D, Donoghue M, Corella D, Pocovi M, Cenarro A, Mozas P, Keilty J, Squazzo S, Woolf EA, Ordovas JM . Association of polymorphisms at the SR–BI gene locus with plasma lipid levels of body mass index in a white population. Arterioscler Thromb Vasc Biol 1999; 19: 1734–1743.

    Article  CAS  PubMed  Google Scholar 

  71. Pérez-Martinez P, Ordovás JM, López-Miranda J, Gómez P, Marín C, Moreno J, Fuentes F, Fernández de la Puebla RÀ, Pérez-Jiménez F . Polymorphism exon 1 variant at the locus of the scavenger receptor class B type I gene: influence on plasma LDL cholesterol in healthy subjects during the consumption of diets with different fat contents. Am J Clin Nutr 2003; 77: 809–813.

    Article  PubMed  Google Scholar 

  72. Koumanis DJ, Christou NV, Wang XL, Gilfix BM . Pilot study examining the frequency of several gene polymorphisms in a morbidly obese population. Obes Surg 2002; 12: 759–764.

    Article  PubMed  Google Scholar 

  73. McCarthy JJ, Lehner T, Reeves C, Moliterno DJ, Newby LK, Rogers WJ, Topol EJ, for the GenQuest Investigators. Association of genetic variants in the HDL receptor, SR–B1, with abnormal lipids in women with coronary artery disease. J Med Genet 2003; 40: 453–458.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  74. Ha J, Lee JK, Kim KS, Witters LA, Kim KH . Cloning of human acetyl-CoA carboxylase-beta and its unique features. Proc Natl Acad Sci USA 1996; 93: 11466–11470.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  75. Ullrich CK, Widmer J, Park JP, Mohandas TK, Witters LA . Assignment of acetyl-CoA carboxylase-beta (ACACB) to human chromosome band 12q24.1 by in situ hybridization. Cytogenet Cell Genet 1997; 77: 176–177.

    Article  CAS  PubMed  Google Scholar 

  76. Alam N, Saggerson ED . Malonyl-CoA and the regulation of fatty acid oxidation in soleus muscle. Biochem J 1998; 334 (Part 1): 233–241.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  77. Abu-Elheiga L, Matzuk MM, Khaled AH, Hashema A, Wakil SJ . Continuous fatty acid oxidation and reduced fat storage in mice lacking acetyl-CoA carboxylase 2. Science 2001; 291: 2613–2616.

    Article  CAS  PubMed  Google Scholar 

  78. Mensink M, Blaak EE, Vidal H, deBruin TWA, Glatz JFC, Saris WHM . Lifestyle changes and lipid metabolism gene expression and protein content in skeletal muscle of subjects with impaired glucose tolerance. Diabetologia 2003; 46: 1082–1089.

    Article  CAS  PubMed  Google Scholar 

  79. Lenhard JM, Gottschalk WK . Preclinical developments in type 2 diabetes. Adv Drug Deliv Rev 2002; 54: 1199–1212.

    Article  CAS  PubMed  Google Scholar 

  80. Greenberg AS, Egan JJ, Wek SA, Moos MC, Londos C, Kimmel AR . Isolation of cDNAs for perilipins A and B: sequence and expression of lipid droplet-associated proteins of adipocytes. Proc Natl Acad Sci USA 1993; 90: 12035–12039.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  81. Tansey JT, Sztalryd C, Gruia-Gray J, Roush DL, Zee JV, Gavrilova O, Reitman ML, Deng C-X, Li C, Kimmel AR, Londos C . Perilipin ablation results in a lean mouse with aberrant adipocyte lipolysis, enhanced leptin production, and resistance to diet-induced obesity. Proc Natl Acad Sci USA 2001; 98: 6494–6499.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  82. Maeda K, Okubo K, Shimomura I, Funahashi T, Matsuzawa Y . cDNA cloning and expression of a novel adipose specific collagen-like factor, apM1 (AdiPose Most abundant Gene transcript 1). Biochem Biophys Res Commun 1996; 221: 286–289.

    Article  CAS  PubMed  Google Scholar 

  83. Arita Y, Kihara S, Ouchi N, Masahiko T, Maeda K, Miyagawa J-I, Hotta K, Shimomura I, Nakamura T, Miyaoka K, Kuriyama H, Nishida M, Yamashita S, Okubo K, Matsubara K, Muraguchi M, Ohmoto Y, Funahashi T, Matsuzawa Y . Paradoxical decrease of an adipose-specific protein, adiponectin, in obesity. Biochem Biophys Res Commun 1999; 257: 79–83.

    Article  CAS  PubMed  Google Scholar 

  84. Wiêcek A, Franciszek K, Chudek J, Adamczak M . The adipose tissue – a novel endocrine organ of interest to the nephrologists. Nephrol Dial Transplant 2002; 17: 191–195.

    Article  PubMed  Google Scholar 

  85. Comuzzie AG, Williams JT . Correcting for ascertainment bias in the COGA data set. Genet Epidemiol 1999; 1: S109–S114.

    Article  Google Scholar 

  86. Wilson AF, Elston RC, Tran LD, Siervogel RM . Use of the robust sib-pair method to screen for single-locus, multiple-locus, and pleiotropic effects: application to traits related to hypertension. Am J Hum Genet 1991; 48: 862–872.

    CAS  PubMed  PubMed Central  Google Scholar 

  87. Bailey-Wilson JE, Wilson AF . Linkage analysis in a large pedigree ascertained due to essential familial hypercholesterolemia. Genet Epidemiol 1993; 10: 665–669.

    Article  CAS  PubMed  Google Scholar 

  88. Delplanque J, Barat-Houari M . Linkage and association studies between the proopiomelanocortin (POMC) gene and obesity in Caucasian families. Diabetologia 2000; 43: 1554–1557.

    Article  CAS  PubMed  Google Scholar 

  89. Chagnon YC, Borecki IB . Genome-wide search for genes related to the fat-free body mass in the Quebec Family study. Metabolism 2000; 49: 203–207.

    Article  CAS  PubMed  Google Scholar 

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HyperGEN Primary Centers and Investigators—University of Utah (Network Coordinating Center, Field Center, and Molecular Genetics Lab): Steven C Hunt, PhD (Network Director and Field Center PI); Mark F Leppert, PhD (Molecular Genetics PI); Jean-Marc Lalouel, MD, DSc; Robert B Weiss, PhD; Paul N Hopkins, MD, MSPH; Hilary Coon, PhD; Roger R Williams, MD (late); Janet Hood; Jan K Skuppin. Boston University (Field Center): R Curtis Ellison, MD (PI); Richard H Myers, PhD; Luc Djoussé, MD, DSc; Yuqing Zhang, MD; Jemma B Wilk, DSc; Greta Lee Splansky, MS. University of Alabama (Field Center): Albert Oberman, MD, MPH (PI); Cora E Lewis, MD, MSPH; Michael T Weaver, PhD; Phillip Johnson; Susan Walker; Christie Oden. University of Minnesota (Field Center and Biochemistry Lab): Donna K Arnett, PhD (Field Center PI); John H Eckfeldt, MD, PhD (Biochemistry Lab PI); James S Pankow, PhD; Michael B Miller, PhD; Anthony A Killeen, MD, PhD; Kim Weis, MPH; Greg Rynders; Catherine Leiendecker-Foster, MS; Gregory Feitl; Barbara Lux; Jean Bucksa. University of North Carolina (Field Center): Gerardo Heiss, MD, PhD (PI); Barry I Freedman, MD; Kari E North, PhD; Kathryn Rose, PhD; Amy Haire. Washington University (Data Coordinating Center): DC Rao, PhD (PI); Michael A Province, PhD; Aldi Kraja, PhD; Ingrid B Borecki, PhD; Charles Gu, PhD; Treva Rice, PhD; Mary Feitosa, PhD; Jun Wu, MD; Karen L Schwander, MS; Derek Morgan; Stephen Mandel; Shiping Wang MS; Brandon Pierce; David J Lehner. National Heart, Lung and Blood Institute: Susan E Old, PhD; Cashell Jaquish, PhD; Dina Paltoo, PhD. This hypertension network is funded by cooperative agreements (U10) with NHLBI: HL54471, HL54472, HL-54473, HL54495, HL54496, HL54497, HL54509, HL54515.

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Correspondence to C E Lewis.

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Lewis, C., North, K., Arnett, D. et al. Sex-specific findings from a genome-wide linkage analysis of human fatness in non-Hispanic whites and African Americans: The HyperGEN Study. Int J Obes 29, 639–649 (2005). https://doi.org/10.1038/sj.ijo.0802916

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