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Genome-wide association studies (GWAS) have identified more than 100 genetic variants contributing to BMI, a measure of body size, or waist-to-hip ratio (adjusted for BMI, WHRadjBMI), a measure of body shape. Body size and shape change as people grow older and these changes differ substantially between men and women. To systematically screen for age- and/or sex-specific effects of genetic variants on BMI and WHRadjBMI, we performed meta-analyses of 114 studies (up to 320,485 individuals of European descent) with genome-wide chip and/or Metabochip data by the Genetic Investigation of Anthropometric Traits (GIANT) Consortium. Each study tested the association of up to ~2.8M SNPs with BMI and WHRadjBMI in four strata (men <=50y, men >50y, women <=50y, women >50y) and summary statistics were combined in stratum-specific meta-analyses. We then screened for variants that showed age-specific effects (G x AGE), sex-specific effects (G x SEX) or age-specific effects that differed between men and women (G x AGE x SEX). For BMI, we identified 15 loci (11 previously established for main effects, four novel) that showed significant (FDR<5%) age-specific effects, of which 11 had larger effects in younger (<50y) than in older adults (>=50y). No sex-dependent effects were identified for BMI. For WHRadjBMI, we identified 44 loci (27 previously established for main effects, 17 novel) with sex-specific effects, of which 28 showed larger effects in women than in men, five showed larger effects in men than in women, and 11 showed opposite effects between sexes. No age-dependent effects were identified for WHRadjBMI. This is the first genome-wide interaction meta-analysis to report convincing evidence of age-dependent genetic effects on BMI. In addition, we confirm the sex-specificity of genetic effects on WHRadjBMI. These results may provide further insights into the biology that underlies weight change with age or the sexually dimorphism of body shape.
The Influence of Age and Sex on Genetic Associations with Adult Body Size and Shape: A Large-Scale Genome-Wide Interaction Study.
Winkler Thomas W;Justice Anne E;Graff Mariaelisa;Barata Llilda;Feitosa Mary F;Chu Su;Czajkowski Jacek;Esko Tonu;Fall Tove;Kilpelainen Tuomas O;Lu Yingchang;Magi Reedik;Mihailov Evelin;Pers Tune H;Rueger Sina;Teumer Alexander;Ehret Georg B;Ferreira Teresa;HeardCosta Nancy L;Karjalainen Juha;Lagou Vasiliki;Mahajan Anubha;Neinast Michael D;Prokopenko Inga;Simino Jeannette;Teslovich Tanya M;Jansen Rick;Westra HarmJan;White Charles C;Absher Devin;Ahluwalia Tarunveer S;Ahmad Shafqat;Albrecht Eva;Alves Alexessander Couto;BraggGresham Jennifer L;de Craen Anton J M;Bis Joshua C;Bonnefond Amelie;Boucher Gabrielle;Cadby Gemma;Cheng YuChing;Chiang Charleston W K;Delgado Graciela;Demirkan Ayse;Dueker Nicole;Eklund Niina;Eiriksdottir Gudny;Eriksson Joel;Feenstra Bjarke;Fischer Krista;Frau Francesca;Galesloot Tessel E;Geller Frank;Goel Anuj;Gorski Mathias;Grammer Tanja B;Gustafsson Stefan;Haitjema Saskia;Hottenga JoukeJan;Huffman Jennifer E;Jackson Anne U;Jacobs Kevin B;Johansson Asa;Kaakinen Marika;Kleber Marcus E;Lahti Jari;Mateo Leach Irene;Lehne Benjamin;Liu Youfang;Lo Ken Sin;Lorentzon Mattias;Luan Jian'an;Madden Pamela A F;Mangino Massimo;McKnight Barbara;MedinaGomez Carolina;Monda Keri L;Montasser May E;Muller Gabriele;MullerNurasyid Martina;Nolte Ilja M;Panoutsopoulou Kalliope;Pascoe Laura;Paternoster Lavinia;Rayner Nigel W;Renstrom Frida;Rizzi Federica;Rose Lynda M;Ryan Kathy A;Salo Perttu;Sanna Serena;Scharnagl Hubert;Shi Jianxin;Smith Albert Vernon;Southam Lorraine;Stancakova Alena;Steinthorsdottir Valgerdur;Strawbridge Rona J;Sung Yun Ju;Tachmazidou Ioanna;Tanaka Toshiko;Thorleifsson Gudmar;Trompet Stella;Pervjakova Natalia;Tyrer Jonathan P;Vandenput Liesbeth;van der Laan Sander W;van der Velde Nathalie;van Setten Jessica;van VlietOstaptchouk Jana V;Verweij Niek;Vlachopoulou Efthymia;Waite Lindsay L;Wang Sophie R;Wang Zhaoming;Wild Sarah H;Willenborg Christina;Wilson James F;Wong Andrew;Yang Jian;Yengo Loic;YergesArmstrong Laura M;Yu Lei;Zhang Weihua;Zhao Jing Hua;Andersson Ehm A;Bakker Stephan J L;Baldassarre Damiano;Banasik Karina;Barcella Matteo;Barlassina Cristina;Bellis Claire;Benaglio Paola;Blangero John;Bluher Matthias;Bonnet Fabrice;Bonnycastle Lori L;Boyd Heather A;Bruinenberg Marcel;Buchman Aron S;Campbell Harry;Chen YiiDer Ida;Chines Peter S;ClaudiBoehm Simone;Cole John;Collins Francis S;de Geus Eco J C;de Groot Lisette C P G M;Dimitriou Maria;Duan Jubao;Enroth Stefan;Eury Elodie;Farmaki AlikiEleni;Forouhi Nita G;Friedrich Nele;Gejman Pablo V;Gigante Bruna;Glorioso Nicola;Go Alan S;Gottesman Omri;GraSSler Jurgen;Grallert Harald;Grarup Niels;Gu YuMei;Broer Linda;Ham Annelies C;Hansen Torben;Harris Tamara B;Hartman Catharina A;Hassinen Maija;Hastie Nicholas;Hattersley Andrew T;Heath Andrew C;Henders Anjali K;Hernandez Dena;Hillege Hans;Holmen Oddgeir;Hovingh Kees G;Hui Jennie;Husemoen Lise L;HutriKahonen Nina;Hysi Pirro G;Illig Thomas;De Jager Philip L;Jalilzadeh Shapour;Jorgensen Torben;Jukema J Wouter;Juonala Markus;Kanoni 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Morris A;Swift Amy J;Syvanen AnnChristine;Tan SianTsung;Thorand Barbara;Tonjes Anke;Tremblay Angelo;Tsafantakis Emmanouil;van der Most Peter J;Volker Uwe;Vohl MarieClaude;Vonk Judith M;Waldenberger Melanie;Walker Ryan W;Wennauer Roman;Widen Elisabeth;Willemsen Gonneke;Wilsgaard Tom;Wright Alan F;Zillikens M Carola;van Dijk Suzanne C;van Schoor Natasja M;Asselbergs Folkert W;de Bakker Paul I W;Beckmann Jacques S;Beilby John;Bennett David A;Bergman Richard N;Bergmann Sven;Boger Carsten A;Boehm Bernhard O;Boerwinkle Eric;Boomsma Dorret I;Bornstein Stefan R;Bottinger Erwin P;Bouchard Claude;Chambers John C;Chanock Stephen J;Chasman Daniel I;Cucca Francesco;Cusi Daniele;Dedoussis George;Erdmann Jeanette;Eriksson Johan G;Evans Denis A;de Faire Ulf;Farrall Martin;Ferrucci Luigi;Ford Ian;Franke Lude;Franks Paul W;Froguel Philippe;Gansevoort Ron T;Gieger Christian;Gronberg Henrik;Gudnason Vilmundur;Gyllensten Ulf;Hall Per;Hamsten Anders;van der Harst Pim;Hayward Caroline;Heliovaara 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Juha;Sattar Naveed;Schunkert Heribert;Schwarz Peter E H;Shuldiner Alan R;Sinisalo Juha;Snieder Harold;Sorensen Thorkild I A;Spector Tim D;Staessen Jan A;Stefania Bandinelli;Thorsteinsdottir Unnur;Stumvoll Michael;Tardif JeanClaude;Tremoli Elena;Tuomilehto Jaakko;Uitterlinden Andre G;Uusitupa Matti;Verbeek Andre L M;Vermeulen Sita H;Viikari Jorma S;Vitart Veronique;Volzke Henry;Vollenweider Peter;Waeber Gerard;Walker Mark;Wallaschofski Henri;Wareham Nicholas J;Watkins Hugh;Zeggini Eleftheria;Chakravarti Aravinda;Clegg Deborah J;Cupples L Adrienne;GordonLarsen Penny;Jaquish Cashell E;Rao D C;Abecasis Goncalo R;Assimes Themistocles L;Barroso Ines;Berndt Sonja I;Boehnke Michael;Deloukas Panos;Fox Caroline S;Groop Leif C;Hunter David J;Ingelsson Erik;Kaplan Robert C;McCarthy Mark I;Mohlke Karen L;O'Connell Jeffrey R;Schlessinger David;Strachan David P;Stefansson Kari;van Duijn Cornelia M;Hirschhorn Joel N;Lindgren Cecilia M;Heid Iris M;North Kari E;Borecki Ingrid B;Kutalik Zoltan;Loos Ruth J F
2015
Abstract
Genome-wide association studies (GWAS) have identified more than 100 genetic variants contributing to BMI, a measure of body size, or waist-to-hip ratio (adjusted for BMI, WHRadjBMI), a measure of body shape. Body size and shape change as people grow older and these changes differ substantially between men and women. To systematically screen for age- and/or sex-specific effects of genetic variants on BMI and WHRadjBMI, we performed meta-analyses of 114 studies (up to 320,485 individuals of European descent) with genome-wide chip and/or Metabochip data by the Genetic Investigation of Anthropometric Traits (GIANT) Consortium. Each study tested the association of up to ~2.8M SNPs with BMI and WHRadjBMI in four strata (men <=50y, men >50y, women <=50y, women >50y) and summary statistics were combined in stratum-specific meta-analyses. We then screened for variants that showed age-specific effects (G x AGE), sex-specific effects (G x SEX) or age-specific effects that differed between men and women (G x AGE x SEX). For BMI, we identified 15 loci (11 previously established for main effects, four novel) that showed significant (FDR<5%) age-specific effects, of which 11 had larger effects in younger (<50y) than in older adults (>=50y). No sex-dependent effects were identified for BMI. For WHRadjBMI, we identified 44 loci (27 previously established for main effects, 17 novel) with sex-specific effects, of which 28 showed larger effects in women than in men, five showed larger effects in men than in women, and 11 showed opposite effects between sexes. No age-dependent effects were identified for WHRadjBMI. This is the first genome-wide interaction meta-analysis to report convincing evidence of age-dependent genetic effects on BMI. In addition, we confirm the sex-specificity of genetic effects on WHRadjBMI. These results may provide further insights into the biology that underlies weight change with age or the sexually dimorphism of body shape.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/300624
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simulazione ASN
Il report seguente simula gli indicatori relativi alla propria produzione scientifica in relazione alle soglie ASN 2023-2025 del proprio SC/SSD. Si ricorda che il superamento dei valori soglia (almeno 2 su 3) è requisito necessario ma non sufficiente al conseguimento dell'abilitazione. La simulazione si basa sui dati IRIS e sugli indicatori bibliometrici alla data indicata e non tiene conto di eventuali periodi di congedo obbligatorio, che in sede di domanda ASN danno diritto a incrementi percentuali dei valori. La simulazione può differire dall'esito di un’eventuale domanda ASN sia per errori di catalogazione e/o dati mancanti in IRIS, sia per la variabilità dei dati bibliometrici nel tempo. Si consideri che Anvur calcola i valori degli indicatori all'ultima data utile per la presentazione delle domande.
La presente simulazione è stata realizzata sulla base delle specifiche raccolte sul tavolo ER del Focus Group IRIS coordinato dall'Università di Modena e Reggio Emilia e delle regole riportate nel DM 589/2018 e allegata Tabella A. Cineca, l'Università di Modena e Reggio Emilia e il Focus Group IRIS non si assumono alcuna responsabilità in merito all’uso che il diretto interessato o terzi faranno della simulazione. Si specifica inoltre che la simulazione contiene calcoli effettuati con dati e algoritmi di pubblico dominio e deve quindi essere considerata come un mero ausilio al calcolo svolgibile manualmente o con strumenti equivalenti.