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Meta-analysis of genome-wide linkage studies in BMI and obesity.

Meta-analysis of genome-wide linkage studies in BMI and obesity. Research Abstract Details 

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  • Meta-analysis of genome-wide linkage studies in BMI and obesity. Abstract Text:

    catherine l saundersCatherine L Saunders,benedetta d chiodiniBenedetta D Chiodini,pak shamPak Sham,cathryn m lewisCathryn M Lewis,victor abkevichVictor Abkevich,adebowale a adeyemoAdebowale A Adeyemo,mariza de andradeMariza de Andrade,rector aryaRector Arya,gerald s berensonGerald S Berenson,john blangeroJohn Blangero,michael boehnkeMichael Boehnke,ingrid b boreckiIngrid B Borecki,yvon c chagnonYvon C Chagnon,wei chenWei Chen,anthony g comuzzieAnthony G Comuzzie,hong-wen dengHong-Wen Deng,ravindranath duggiralaRavindranath Duggirala,mary f feitosaMary F Feitosa,philippe froguelPhilippe Froguel,robert l hansonRobert L Hanson,johannes hebebrandJohannes Hebebrand,patricia huezo-diasPatricia Huezo-Dias,ahmed h kissebahAhmed H Kissebah,weidong liWeidong Li,amy lukeAmy Luke,lisa j martinLisa J Martin,matthew nashMatthew Nash,miina ohmanMiina Ohman,lyle j palmerLyle J Palmer,leena peltonenLeena Peltonen,markus perolaMarkus Perola,r arlen priceR Arlen Price,susan redlineSusan Redline,sathanur r srinivasanSathanur R Srinivasan,michael p sternMichael P Stern,steven stoneSteven Stone,heather stringhamHeather Stringham,stephen turnerStephen Turner,cisca wijmengaCisca Wijmenga,david a collierDavid A Collier,catherine l saundersCatherine L Saunders,benedetta d chiodiniBenedetta D Chiodini,pak shamPak Sham,cathryn m lewisCathryn M Lewis,victor abkevichVictor Abkevich,adebowale a adeyemoAdebowale A Adeyemo,mariza de andradeMariza de Andrade,rector aryaRector Arya,gerald s berensonGerald S Berenson,john blangeroJohn Blangero,michael boehnkeMichael Boehnke,ingrid b boreckiIngrid B Borecki,yvon c chagnonYvon C Chagnon,wei chenWei Chen,anthony g comuzzieAnthony G Comuzzie,hong-wen dengHong-Wen Deng,ravindranath duggiralaRavindranath Duggirala,mary f feitosaMary F Feitosa,philippe froguelPhilippe Froguel,robert l hansonRobert L Hanson,johannes hebebrandJohannes Hebebrand,patricia huezo-diasPatricia Huezo-Dias,ahmed h kissebahAhmed H Kissebah,weidong liWeidong Li,amy lukeAmy Luke,lisa j martinLisa J Martin,matthew nashMatthew Nash,miina ohmanMiina Ohman,lyle j palmerLyle J Palmer,leena peltonenLeena Peltonen,markus perolaMarkus Perola,r arlen priceR Arlen Price,susan redlineSusan Redline,sathanur r srinivasanSathanur R Srinivasan,michael p sternMichael P Stern,steven stoneSteven Stone,heather stringhamHeather Stringham,stephen turnerStephen Turner,cisca wijmengaCisca Wijmenga,david a collierDavid A Collier,catherine l saundersCatherine L Saunders,benedetta d chiodiniBenedetta D Chiodini,pak shamPak Sham,cathryn m lewisCathryn M Lewis,victor abkevichVictor Abkevich,adebowale a adeyemoAdebowale A Adeyemo,mariza de andradeMariza de Andrade,rector aryaRector Arya,gerald s berensonGerald S Berenson,john blangeroJohn Blangero,michael boehnkeMichael Boehnke,ingrid b boreckiIngrid B Borecki,yvon c chagnonYvon C Chagnon,wei chenWei Chen,anthony g comuzzieAnthony G Comuzzie,hong-wen dengHong-Wen Deng,ravindranath duggiralaRavindranath Duggirala,mary f feitosaMary F Feitosa,philippe froguelPhilippe Froguel,robert l hansonRobert L Hanson,johannes hebebrandJohannes Hebebrand,patricia huezo-diasPatricia Huezo-Dias,ahmed h kissebahAhmed H Kissebah,weidong liWeidong Li,amy lukeAmy Luke,lisa j martinLisa J Martin,matthew nashMatthew Nash,miina ohmanMiina Ohman,lyle j palmerLyle J Palmer,leena peltonenLeena Peltonen,markus perolaMarkus Perola,r arlen priceR Arlen Price,susan redlineSusan Redline,sathanur r srinivasanSathanur R Srinivasan,michael p sternMichael P Stern,steven stoneSteven Stone,heather stringhamHeather Stringham,stephen turnerStephen Turner,cisca wijmengaCisca Wijmenga,david a collierDavid A Collier,

    OBJECTIVE: The objective was to provide an overall assessment of genetic linkage data of BMI and BMI-defined obesity using a nonparametric genome scan meta-analysis. RESEARCH METHODS AND PROCEDURES: We identified 37 published studies containing data on over 31,000 individuals from more than >10,000 families and obtained genome-wide logarithm of the odds (LOD) scores, non-parametric linkage (NPL) scores, or maximum likelihood scores (MLS). BMI was analyzed in a pooled set of all studies, as a subgroup of 10 studies that used BMI-defined obesity, and for subgroups ascertained through type 2 diabetes, hypertension, or subjects of European ancestry. RESULTS: Bins at chromosome 13q13.2- q33.1, 12q23-q24.3 achieved suggestive evidence of linkage to BMI in the pooled analysis and samples ascertained for hypertension. Nominal evidence of linkage to these regions and suggestive evidence for 11q13.3-22.3 were also observed for BMI-defined obesity. The FTO obesity gene locus at 16q12.2 also showed nominal evidence for linkage. However, overall distribution of summed rank p values <0.05 is not different from that expected by chance. The strongest evidence was obtained in the families ascertained for hypertension at 9q31.1-qter and 12p11.21-q23 (p < 0.01). Conclusion: Despite having substantial statistical power, we did not unequivocally implicate specific loci for BMI or obesity. This may be because genes influencing adiposity are of very small effect, with substantial genetic heterogeneity and variable dependence on environmental factors. However, the observation that the FTO gene maps to one of the highest ranking bins for obesity is interesting and, while not a validation of this approach, indicates that other potential loci identified in this study should be investigated further.

    Meta-analysis of genome-wide linkage studies in BMI and obesity. Publishing Authors By Initials

    cl saundersCL Saunders,bd chiodiniBD Chiodini,p shamP Sham,cm lewisCM Lewis,v abkevichV Abkevich,aa adeyemoAA Adeyemo,m de andradeM de Andrade,r aryaR Arya,gs berensonGS Berenson,j blangeroJ Blangero,m boehnkeM Boehnke,ib boreckiIB Borecki,yc chagnonYC Chagnon,w chenW Chen,ag comuzzieAG Comuzzie,hw dengHW Deng,r duggiralaR Duggirala,mf feitosaMF Feitosa,p froguelP Froguel,rl hansonRL Hanson,j hebebrandJ Hebebrand,p huezo-diasP Huezo-Dias,ah kissebahAH Kissebah,w liW Li,a lukeA Luke,lj martinLJ Martin,m nashM Nash,m ohmanM Ohman,lj palmerLJ Palmer,l peltonenL Peltonen,m perolaM Perola,ra priceRA Price,s redlineS Redline,sr srinivasanSR Srinivasan,mp sternMP Stern,s stoneS Stone,h stringhamH Stringham,s turnerS Turner,c wijmengaC Wijmenga,d a collierD A Collier,cl saundersCL Saunders,bd chiodiniBD Chiodini,p shamP Sham,cm lewisCM Lewis,v abkevichV Abkevich,aa adeyemoAA Adeyemo,m de andradeM de Andrade,r aryaR Arya,gs berensonGS Berenson,j blangeroJ Blangero,m boehnkeM Boehnke,ib boreckiIB Borecki,yc chagnonYC Chagnon,w chenW Chen,ag comuzzieAG Comuzzie,hw dengHW Deng,r duggiralaR Duggirala,mf feitosaMF Feitosa,p froguelP Froguel,rl hansonRL Hanson,j hebebrandJ Hebebrand,p huezo-diasP Huezo-Dias,ah kissebahAH Kissebah,w liW Li,a lukeA Luke,lj martinLJ Martin,m nashM Nash,m ohmanM Ohman,lj palmerLJ Palmer,l peltonenL Peltonen,m perolaM Perola,ra priceRA Price,s redlineS Redline,sr srinivasanSR Srinivasan,mp sternMP Stern,s stoneS Stone,h stringhamH Stringham,s turnerS Turner,c wijmengaC Wijmenga,d a collierD A Collier,cl saundersCL Saunders,bd chiodiniBD Chiodini,p shamP Sham,cm lewisCM Lewis,v abkevichV Abkevich,aa adeyemoAA Adeyemo,m de andradeM de Andrade,r aryaR Arya,gs berensonGS Berenson,j blangeroJ Blangero,m boehnkeM Boehnke,ib boreckiIB Borecki,yc chagnonYC Chagnon,w chenW Chen,ag comuzzieAG Comuzzie,hw dengHW Deng,r duggiralaR Duggirala,mf feitosaMF Feitosa,p froguelP Froguel,rl hansonRL Hanson,j hebebrandJ Hebebrand,p huezo-diasP Huezo-Dias,ah kissebahAH Kissebah,w liW Li,a lukeA Luke,lj martinLJ Martin,m nashM Nash,m ohmanM Ohman,lj palmerLJ Palmer,l peltonenL Peltonen,m perolaM Perola,ra priceRA Price,s redlineS Redline,sr srinivasanSR Srinivasan,mp sternMP Stern,s stoneS Stone,h stringhamH Stringham,s turnerS Turner,c wijmengaC Wijmenga,d a collierD A Collier,

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    PUBMED ID PMID:

    MEDLINE DATE:

    Meta-analysis of genome-wide linkage studies in BMI and obesity. Journal Published:

    PUBLICATION TYPE: Research Support, Non-U.S. Gov

    Journal: Obesity (Silver Spring, Md.)

    VOLUME: 15

    Page Numbers: 2263-75

    Journal Abbreviation:

    ISSN: 1930-7381

    DAY: 24

    MONTH: Sep

    YEAR: 2007

    Meta-analysis of genome-wide linkage studies in BMI and obesity. Information

    Number of References:

    LANGUAGE: eng

    NlmUniqueID: 101264860

    Meta-analysis of genome-wide linkage studies in BMI and obesity. Keywords Mesh Terms:

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    Chemical & Substance for Abstract: Meta-analysis of genome-wide linkage studies in BMI and obesity. Information

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    Grant and Affiliation Information for Meta-analysis of genome-wide linkage studies in BMI and obesity.

    AFFILIATION: King's College London, Guy's, King's & St. Thomas' School of Medicine, London, United Kingdom.

    Country: United States

    United States Research PublicationUnited States Research Publication

    AGENCY: United States NHLBI

    GRANT: U10 HL54481

    ACRONYM: HL

    MEDLINETA: Obesity (Silver Spring)

    REFSOURCE:

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