<?xml version="1.0" encoding="ISO-8859-1"?><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<front>
<journal-meta>
<journal-id>1645-0523</journal-id>
<journal-title><![CDATA[Revista Portuguesa de Ciências do Desporto]]></journal-title>
<abbrev-journal-title><![CDATA[Rev. Port. Cien. Desp.]]></abbrev-journal-title>
<issn>1645-0523</issn>
<publisher>
<publisher-name><![CDATA[Faculdade de Desporto da Universidade do Porto]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S1645-05232008000100008</article-id>
<title-group>
<article-title xml:lang="pt"><![CDATA[Um estudo de genética quantitativa sobre agregação familiar na composição corporal de famílias nucleares portuguesas]]></article-title>
<article-title xml:lang="en"><![CDATA[A quantitative genetic study about familial aggregation in body composition of portuguese nuclear families]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Fermino]]></surname>
<given-names><![CDATA[Rogério C.]]></given-names>
</name>
<xref ref-type="aff" rid="A01"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Seabra]]></surname>
<given-names><![CDATA[André]]></given-names>
</name>
<xref ref-type="aff" rid="A01"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Garganta]]></surname>
<given-names><![CDATA[Rui]]></given-names>
</name>
<xref ref-type="aff" rid="A01"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Valdivia]]></surname>
<given-names><![CDATA[Alcibíades B.]]></given-names>
</name>
<xref ref-type="aff" rid="A01"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Maia]]></surname>
<given-names><![CDATA[José]]></given-names>
</name>
<xref ref-type="aff" rid="A01"/>
</contrib>
</contrib-group>
<aff id="A01">
<institution><![CDATA[,Universidade do Porto Faculdade de Desporto Laboratório de Cineantropometria e Gabinete de Estatística Aplicada]]></institution>
<addr-line><![CDATA[Porto ]]></addr-line>
<country>Portugal</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>04</month>
<year>2008</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>04</month>
<year>2008</year>
</pub-date>
<volume>8</volume>
<numero>1</numero>
<fpage>77</fpage>
<lpage>84</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://scielo.pt/scielo.php?script=sci_arttext&amp;pid=S1645-05232008000100008&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.pt/scielo.php?script=sci_abstract&amp;pid=S1645-05232008000100008&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.pt/scielo.php?script=sci_pdf&amp;pid=S1645-05232008000100008&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="pt"><p><![CDATA[Este estudo teve como objectivo (1) verificar a presença indirecta de transmissão vertical de factores genéticos entre progenitores e descendentes nos fenótipos da composição corporal e (2) estimar a contribuição dos factores genéticos responsáveis pela variação nos fenótipos da composição corporal em termos populacionais. A amostra foi constituída por 363 indivíduos pertencentes a 107 famílias nucleares participantes do projecto FAMÍLIAS ACTIVAS. Os fenótipos da composição corporal foram avaliados com um aparelho de impedância bioeléctrica da marca Tanita® modelo BC-418MA. Foi utilizado o software PEDSTATS para analisar o comportamento genérico das variáveis entre os diferentes membros da família. O cálculo das correlações entre familiares e as estimativas de heritabilidade foram realizados nos módulos FCOR e ASSOC do software de Epidemiologia Genética S.A.G.E. versão 5.3. Os valores dos coeficientes de correlação entre os graus de parentesco foram baixos a moderados (-0,04&#8804; r &#8804;0,65). Os factores genéticos explicaram entre 35 a 46% da variação dos diferentes fenótipos da composição corporal, sendo a maior contribuição verificada para a quantidade absoluta de gordura corporal (43%) e a massa muscular (46%). Estes resultados indicam uma forte agregação familiar na composição corporal nesta amostra de famílias nucleares portuguesas.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[This study aims (1) to verify the indirect presence of vertical transmission of genetic factors between parents and offspring and (2) to estimate the contribution of the genetic factors in the variance of different phenotypes describing body composition. Sample size comprises 363 subjects from the 107 nuclear families participating in the project “FAMILIAS ACTIVAS”. Body composition phenotypes were measured with a bioelectric impedance device Tanita® model BC-418MA. PEDSTATS software was used to verify the structure of each family and to analyze the generic behavior of the phenotypes between the different members of the family. Familiar correlations and heritability estimates (h²) were computed in the FCOR and ASSOC modules of S.A.G.E. 5.3 software. Correlation coefficients between relatives were low to moderate (-0,04&#8804; r &#8804;0,65). Genetic factors explained between 35-46% of different body composition phenotypes. The largest contributions were related to total body fat (43%) and lean body mass (46%) These results showed an important familial aggregation in body composition values of Portuguese nuclear familiar samples.]]></p></abstract>
<kwd-group>
<kwd lng="pt"><![CDATA[agregação familiar]]></kwd>
<kwd lng="pt"><![CDATA[heritabilidade]]></kwd>
<kwd lng="pt"><![CDATA[composição corporal]]></kwd>
<kwd lng="pt"><![CDATA[epidemiologia genética]]></kwd>
<kwd lng="pt"><![CDATA[famílias nucleares]]></kwd>
<kwd lng="en"><![CDATA[familial aggregation]]></kwd>
<kwd lng="en"><![CDATA[heritability]]></kwd>
<kwd lng="en"><![CDATA[body composition]]></kwd>
<kwd lng="en"><![CDATA[Genetic Epidemiologic]]></kwd>
<kwd lng="en"><![CDATA[nuclear families]]></kwd>
</kwd-group>
</article-meta>
</front><body><![CDATA[ <p align="center"><b>Um estudo de genética quantitativa sobre agregação familiar    na composição corporal de famílias nucleares portuguesas </b></p>     <p align="center"><b>&nbsp;</b></p>     <p align="center"><b>Rogério C. Fermino</b></p>     <p align="center"><b>André Seabra</b></p>     <p align="center"><b>Rui Garganta</b></p>     <p align="center"><b>Alcibíades B. Valdivia</b></p>     <p align="center"><b>José Maia</b></p>     <p align="center"><b><sup>&nbsp;</sup></b></p>     <p align="center">Laboratório de Cineantropometria e Gabinete de Estatística Aplicada,    Faculdade de Desporto, Universidade do Porto, Portugal</p>         <p>&nbsp;</p>     ]]></body>
<body><![CDATA[<p>&nbsp;</p>     <p><b>RESUMO </b></p>      <p>Este estudo teve como objectivo (1) verificar a presença indirecta de transmissão vertical de factores genéticos entre progenitores e descendentes nos fenótipos da composição corporal e (2) estimar a contribuição dos factores genéticos responsáveis pela variação nos fenótipos da composição corporal em termos populacionais.</p>      <p>A amostra foi constituída por 363 indivíduos pertencentes a 107 famílias nucleares participantes do projecto FAMÍLIAS ACTIVAS. Os fenótipos da composição corporal foram avaliados com um aparelho de impedância bioeléctrica da marca <i>Tanita<sup>®</sup></i> modelo <i>BC-418MA</i>. Foi utilizado o <i>software</i> PEDSTATS para analisar o comportamento genérico das variáveis entre os diferentes membros da família. O cálculo das correlações entre familiares e as estimativas de heritabilidade foram realizados nos módulos FCOR e ASSOC do <i>software</i> de Epidemiologia Genética S.A.G.E. versão 5.3.</p>      <p>Os valores dos coeficientes de correlação entre os graus de parentesco foram baixos a moderados (-0,04&#8804; <i>r </i>&#8804;0,65). Os factores genéticos explicaram entre 35 a 46% da variação dos diferentes fenótipos da composição corporal, sendo a maior contribuição verificada para a quantidade absoluta de gordura corporal (43%) e a massa muscular (46%).</p>      <p>Estes resultados indicam uma forte agregação familiar na composição corporal nesta amostra de famílias nucleares portuguesas. </p>      <p><b>Palavras-Chave: </b>agregação familiar, heritabilidade, composição corporal,    epidemiologia genética, famílias nucleares.</p>     <p>&nbsp;</p>     <p>&nbsp;</p>      <p><b>ABSTRACT</b></p>      ]]></body>
<body><![CDATA[<p><b>A quantitative genetic study about familial aggregation in body composition    of portuguese nuclear families </b></p>     <p><b>&nbsp;</b>This study aims (1) to verify the indirect presence of vertical    transmission of genetic factors between parents and offspring and (2) to estimate    the contribution of the genetic factors in the variance of different phenotypes    describing body composition.</p>     <p>Sample size comprises 363 subjects from the 107 nuclear families participating    in the project “FAMILIAS ACTIVAS”. Body composition phenotypes were measured    with a bioelectric impedance device <i>Tanita</i><sup>®</sup> model <i>BC-418MA</i>.&nbsp;    PEDSTATS software was used to verify the structure of each family and to analyze    the generic behavior of the phenotypes between the different members of the    family. Familiar correlations and heritability estimates (h<sup>2</sup>) were    computed in the FCOR and ASSOC modules of S.A.G.E. 5.3 software. </p>     <p>Correlation coefficients between relatives were low to moderate (-0,04&#8804;    <i>r</i> &#8804;0,65). Genetic factors explained between 35-46% of different    body composition phenotypes. The largest contributions were related to total    body fat (43%) and lean body mass (46%) </p>     <p>These results showed an important familial aggregation in body composition    values of Portuguese nuclear familiar samples.</p>     <p><b>Key-words: </b>familial aggregation, heritability, body composition, Genetic    Epidemiologic, nuclear families</p>     <p>&nbsp;</p>     <p>&nbsp;</p>     <p>Texto completo    dispon&iacute;vel apenas em PDF.</p>     <p>Full text only available in PDF format.</p>       ]]></body>
<body><![CDATA[<p><b>&nbsp;</b></p>      <p><b>&nbsp;</b></p>      <p><b>REFERÊNCIAS</b></p>      <p><b>&nbsp;</b></p>      <!-- ref --><p>1. American College of Sports Medicine (2003). <i>Diretrizes do ACSM para os testes de esforço e sua prescrição</i>, Rio de Janeiro: Guanabara Koogan.&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=737913&pid=S1645-0523200800010000800001&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --><p>2. American Heart Association (2007). Heart Disease and Stroke Statistics - 2007 Update. A Report From the American Heart Association Statistics Committee and Stroke Statistics Subcommittee. <i>Circulation</i> 115 1-101.</p>      <p>3. Bayoumi RA, Al-Yahyaee SA, Albarwani SA, Rizvi SG, Al-Hadabi S, Al-Ubaidi FF, Al-Hinai AT, Al-Kindi MN, Adnan HT, Al-Barwany HS, Comuzzie AG, Cai G, Lopez-Alvarenga JC, Hassan MO (2007). Heritability of determinants of the metabolic syndrome among healthy Arabs of the Oman family study. <i>Obesity</i> 15(3):551-556.</p>      <p>4. Butte NF, Cai G, Cole SA, Comuzzie AG (2006). Viva la Familia Study: genetic and environmental contributions to childhood obesity and its comorbidities in the Hispanic population. <i>Am J Clin Nutr</i> 84(3):646-654.</p>      <p>5. Butte NF, Comuzzie AG, Cole SA, Mehta NR, Cai G, Tejero M, Bastarrachea R, Smith EO (2005). Quantitative genetic analysis of the metabolic syndrome in Hispanic children. <i>Pediatr Res</i> 58(6):1243-1248.</p>      <p>6. Campos MA, Maia JAR, Seabra A, Silva RG, Lopes VP, Freitas DL (2007). <i>Actividade física e componentes da síndrome metabólica. Um estudo em famílias açorianas</i>, Porto: Direcção Regional do Desporto da Região Autónoma dos Açores e FADE-UP.</p>      ]]></body>
<body><![CDATA[<p>7. Heyward V (2001). ASEP methods recommendation: body composition assesment. <i>J Exerc Physiol</i> 4(4):1-12.</p>      <p>8. Hong Y, Rice T, Gagnon J, Despres JP, Nadeau A, Perusse L, Bouchard C, Leon AS,&nbsp; Skinner JS, Wilmore JH, Rao DC (1998). Familial clustering of insulin and abdominal visceral fat: the HERITAGE Family Study. <i>J Clin Endocrinol Metab</i> 83(12):4239-4245.</p>      <p>9. Hsu FC, Lenchik L, Nicklas BJ, Lohman K, Register TC, Mychaleckyj J, Langefeld CD,&nbsp; Freedman BI, Bowden DW,Carr JJ (2005). Heritability of body composition measured by DXA in the diabetes heart study. <i>Obes Res</i> 13(2):312-319.</p>      <p>10. Hunt MS, Katzmarzyk PT, Perusse L, Rice T, Rao DC, Bouchard C (2002). Familial resemblance of 7-year changes in body mass and adiposity. <i>Obes Res</i> 10(6):507-517.</p>      <p>11. Katzmarzyk PT, Malina RM, Perusse L, Rice T, Province MA, Rao DC, Bouchard C (2000). Familial resemblance in fatness and fat distribution. <i>Am J Human Biol</i> 12(3):395-404.</p>      <p>12. Lohman TG, Roche AF, Martorell R (1988). <i>Antropometric standardization reference manual</i>. Champaign.</p>      <p>13. Luke A,&nbsp; Guo X, Adeyemo AA, Wilks R,&nbsp; Forrester T, Lowe W, Comuzzie AG,&nbsp; Martin LJ, Zhu X, Rotimi CN, Cooper RS (2001). Heritability of obesity-related traits among Nigerians, Jamaicans and US black people. <i>Int J Obes Relat Metab Disord</i> 25(7):1034-1041.</p>      <p>14. Mattsson S, Thomas BJ (2006). Development of methods for body composition studies. <i>Phys Med Biol</i> 51(13):203-228.</p>      <p>15. Mills GW, Avery PJ, McCarthy MI, Hattersley AT, Levy JC, Hitman GA, Sampson M, Walker M (2004). Heritability estimates for beta cell function and features of the insulin resistance syndrome in UK families with an increased susceptibility to type 2 diabetes. <i>Diabetologia</i> 47(4):732-738.</p>      <p>16. North KE, Howard BV, Welty TK, Best LG, Lee ET, Yeh JL, Fabsitz RR, Roman MJ, MacCluer JW (2003). Genetic and environmental contributions to cardiovascular disease risk in American Indians: the strong heart family study. <i>Am J Epidemiol</i> 157(4):303-314.</p>      ]]></body>
<body><![CDATA[<p>17. Ogden CL, Carroll MD, Curtin LR, McDowell MA, Tabak CJ, Flegal KM (2006). Prevalence of overweight and obesity in the United States, 1999-2004. <i>Jama</i> 295 (13):1549-1555.</p>      <p>18. Park HS, Yim KS, Cho SI (2004). Gender differences in familial aggregation of obesity-related phenotypes and dietary intake patterns in Korean families. <i>Ann Epidemiol</i> 14(7):486-491.</p>      <p>19. Perusse L, Despres JP, Lemieux S, Rice T, Rao DC, Bouchard C (1996). Familial aggregation of abdominal visceral fat level: results from the Quebec family study. <i>Metabolism</i> 45(3):378-382.</p>      <p>20. Perusse L,&nbsp; Rice T,&nbsp; Province MA,&nbsp; Gagnon J,&nbsp; Leon AS,&nbsp; Skinner JS,&nbsp; Wilmore JH,&nbsp; Rao DC, Bouchard C (2000). Familial aggregation of amount and distribution of subcutaneous fat and their responses to exercise training in the HERITAGE family study. <i>Obes Res</i> 8(2):140-150.</p>      <p>21. Pietrobelli A, Rubiano F, St-Onge MP, Heymsfield SB (2004). New bioimpedance analysis system: improved phenotyping with whole-body analysis. <i>Eur J Clin Nutr</i> 58(11):1479-1484.</p>      <p>22. Rankinen T, Zuberi A, Chagnon YC, Weisnagel SJ, Argyropoulos G, Walts B, Perusse L, Bouchard C (2006). The human obesity gene map: the 2005 update. <i>Obesity</i> 14(4):529-644.</p>      <p>23. Rice T, Daw EW, Gagnon J, Bouchard C, Leon AS, Skinner JS, Wilmore JH, Rao DC (1997). Familial resemblance for body composition measures: the HERITAGE Family Study. <i>Obes Res</i> 5(6):557-562.</p>      <p>24. Rice T, Despres JP, Daw EW, Gagnon J, Borecki IB, Perusse L, Leon AS, Skinner JS,&nbsp; Wilmore JH, Rao DC, Bouchard C (1997). Familial resemblance for abdominal visceral fat: the HERITAGE family study. <i>Int J Obes Relat Metab Disord</i> 21(11):1024-1031.</p>      <p>25. Rice T, Perusse L, Bouchard C, Rao DC (1999). Familial aggregation of body mass index and subcutaneous fat measures in the longitudinal Quebec family study. <i>Genet Epidemiol</i> 16(3):316-334.</p>      <p>26. S.A.G.E. 5.3 (2005). Statistical Analysis for Genetic Epidemiology <a href="http://darwin.cwru.edu/sage/" target="_blank">http://darwin.cwru.edu/sage/</a>. </p>      ]]></body>
<body><![CDATA[<p>27. Sakul H, Pratley R, Cardon L, Ravussin E, Mott D, Bogardus C (1997). Familiality of physical and metabolic characteristics that predict the development of non-insulin-dependent diabetes mellitus in Pima Indians. <i>Am J Hum Genet</i> 60(3):651-656.</p>      <p>28. Savard R, Bouchard C, Leblanc C, Tremblay A (1983). Familial resemblance in fatness indicators. <i>Ann Hum Biol</i> 10(2):111-118.</p>      <p>29. Treuth MS, Butte NF, Ellis KJ, Martin LJ, Comuzzie AG (2001). Familial resemblance of body composition in prepubertal girls and their biological parents. <i>Am J Clin Nutr</i> 74(4):529-533.</p>      <p>30. Wigginton JE, Abecasis GR (2005). PEDSTATS: descriptive statistics, graphics and quality assessment for gene mapping data. <i>Bioinformatics</i> 21(16):3445-3447.</p>      <p>31. Wu DM, Hong Y, Sun CA, Sung PK, Rao DC, Chu NF (2003). Familial resemblance    of adiposity-related parameters: results from a health check-up population in    Taiwan. <i>Eur J Epidemiol</i> 18(3):221-226.</p>     <p>&nbsp;</p>     <p>&nbsp;</p>     <p><b>Agradecimentos</b></p>     <p>Gostaríamos de agradecer: (1) as sugestões dos revisores que melhoraram aspectos    do texto; (2) a colaboração de Amélia Martins, João Vinagre, Rita Miranda, Ramon    Lima, Sónia Vidal, Sílvio Saranga, Leonardo Nhantumbo, Simonete Silva e Renata    Karine na recolha da informação.</p>     <p><b>&nbsp;</b></p>     ]]></body>
<body><![CDATA[<p><b>CORRESPONDÊNCIA</b></p>     <p>José António Ribeiro Maia</p>     <p>Universidade do Porto &#8211; Faculdade de Desporto.</p>     <p>Laboratório de Cineantropometria e Gabinete de Estatística Aplicada. </p>     <p>Rua Dr. Plácido Costa, 91 &#8211; 4200-450 </p>     <p>Porto &#8211; Portugal. </p>     <p><i>e</i>-mail: <a href="mailto:jmaia@fade.up.pt">jmaia@fade.up.pt</a></p>      <p>&nbsp;</p>       ]]></body><back>
<ref-list>
<ref id="B1">
<nlm-citation citation-type="book">
<collab>American College of Sports Medicine</collab>
<source><![CDATA[Diretrizes do ACSM para os testes de esforço e sua prescrição]]></source>
<year>2003</year>
<publisher-loc><![CDATA[Rio de Janeiro ]]></publisher-loc>
<publisher-name><![CDATA[Guanabara Koogan]]></publisher-name>
</nlm-citation>
</ref>
</ref-list>
</back>
</article>
