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1. Full Text New genetic loci link adipose and insulin biology to body fat distribution
by Shungin, Dmitry and Winkler, Thomas W and Croteau-Chonka, Damien C and Ferreira, Teresa and Locke, Adam E and Mägi, Reedik and Strawbridge, Rona J and Pers, Tune H and Fischer, Krista and Justice, Anne E and Workalemahu, Tsegaselassie and Wu, Joseph M. W and Buchkovich, Martin L and Heard-Costa, Nancy L and Roman, Tamara S and ng, Alexander W and Song, Ci and Gustafsson, Stefan and Day, Felix R and Esko, Tonu and Fall, Tove and Kutalik, Zoltán and Luan, Jian'an and Randall, Joshua C and Scherag, Ané and Vedantam, Sailaja and Wood, Anew R and Chen, Jin and Fehrmann, Rudolf and Karjalainen, Juha and Kahali, Bratati and Liu, Ching-Ti and Schmidt, Ellen M and Absher, Devin and Amin, Najaf and Anderson, Denise and Beekman, Marian and Bragg-Gresham, Jennifer L and Buyske, Steven and Demirkan, Ayse and Ehret, Georg B and Feitosa, Mary F and Goel, Anuj and Jackson, Anne U and Johnson, Toby and Kleber, Marcus E and Kristiansson, Kati and Mangino, Massimo and Mateo Leach, Irene and Medina-Gomez, Carolina and Palmer, Cameron D and Pasko, Dorota and Pechlivanis, Sonali and Peters, Marjolein J and Prokopenko, Inga and Stančáková, Alena and Ju Sung, Yun and Tanaka, Toshiko and Teumer, Alexander and van Vliet-Ostaptchouk, Jana V and Yengo, Loïc and Zhang, Weihua and Albrecht, Eva and Ärnlöv, Johan and Arscott, Gillian M and Bandinelli, Stefania and Barrett, Amy and Bellis, Claire and Bennett, Amanda J and Berne, Christian and Blüher, Matthias and Böhringer, Stefan and Bonnet, Fabrice and Böttcher, Yvonne and Bruinenberg, Marcel and Carba, Delia B and Caspersen, Ida H and Clarke, Robert and Daw, E. Warwick and Deelen, Joris and Deelman, Ewa and Delgado, Graciela and Doney, Alex S. F and Eklund, Niina and Erdos, Michael R and Estrada, Karol and Eury, Elodie and Frieich, Nele and Garcia, Melissa E and Gieaitis, Vilmantas and Gigante, Bruna and Go, Alan S and Golay, Alain and Grallert, Harald and Grammer, Tanja B and Gräßler, Jürgen and Grewal, Jagvir and Groves, Christopher J and Haller, Toomas and Hallmans, Goran and ... and PAGE Consortium and LifeLines Cohort Study and CARDIOGRAMplusC4D Consortium and MuTHER Consortium and ICBP and ADIPOGEN Consortium and CKDGen Consortium and GEFOS Consortium and Int Endogene Consortium and GENIE Consortium and MAGIC Investigators and ReproGen Consortium and GLGC and ADIPOGen Consortium and International Endogene Consortium and The PAGE Consortium and The International Endogene Consortium and The MAGIC Investigators and The ReproGen Consortium and The CKDGen Consortium and The ADIPOGen Consortium and The ICBP and The CARDIOGRAMplusC4D Consortium and The GENIE Consortium and The GLGC and The GEFOS Consortium and The MuTHER Consortium and The LifeLines Cohort Study and Högskolan Dalarna and Akademin Utbildning, hälsa och samhälle and Medicinsk vetenskap
Nature, ISSN 0028-0836, 2015, Volume 518, Issue 7538, pp. 187 - U378
Body fat distribution is a heritable trait and a well-established predictor of adverse metabolic outcomes, independent of overall adiposity. To increase our... 
HUMAN HEIGHT | ABDOMINAL ADIPOSITY | MULTIDISCIPLINARY SCIENCES | COMMON SNPS | SUSCEPTIBILITY LOCI | GLYCEMIC TRAITS | FALSE DISCOVERY | MESENCHYMAL STEM-CELLS | GENOME-WIDE ASSOCIATION | ADIPOGENIC DIFFERENTIATION | SEXUAL-DIMORPHISM | Body Mass Index | Genome-Wide Association Study | Age Factors | Neovascularization, Physiologic - genetics | Epigenesis, Genetic | Humans | Male | Continental Population Groups - genetics | Sex Characteristics | Obesity - genetics | Europe - ethnology | Genome, Human - genetics | Adipose Tissue - metabolism | Insulin - metabolism | Models, Biological | Adipocytes - metabolism | Insulin Resistance - genetics | Polymorphism, Single Nucleotide - genetics | Female | Body Fat Distribution | Transcription, Genetic - genetics | Adipogenesis - genetics | Waist-Hip Ratio | Quantitative Trait Loci - genetics | Adipose tissues | Quantitative trait loci | Genetic research | Genetic aspects | Research | Metabolism | Health aspects | Studies | Body mass index | Genealogy | Body fat | Insulin resistance | Genetics | Genomes | Abdomen | Meta-analysis | Index Medicus | Life Sciences | Adipocytes/metabolism Adipogenesis/genetics Adipose Tissue/metabolism Age Factors Body Fat Distribution Body Mass Index Continental Population Groups/genetics Epigenesis, Genetic Europe/ethnology Female Genome, Human/genetics Genome-Wide Association Study Humans Insulin/metabolism Insulin Resistance/genetics Male Models, Biological Neovascularization, Physiologic/genetics Obesity/genetics Polymorphism, Single Nucleotide/genetics Quantitative Trait Loci/genetics Sex Characteristics Transcription, Genetic/genetics Waist-Hip Ratio | Clinical Medicine | Hälsa och välfärd | Medical and Health Sciences | Klinisk medicin | Medicin och hälsovetenskap | Health and Welfare
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2. Full Text Defining the role of common variation in the genomic and biological architecture of adult human height
by Wood, Anew R and Esko, Tonu and Yang, Jian and Vedantam, Sailaja and Pers, Tune H and Gustafsson, Stefan and Chu, Auey Y and Estrada, Karol and Luan, Jian'an and Kutalik, Zoltán and Amin, Najaf and Buchkovich, Martin L and Croteau-Chonka, Damien C and Day, Felix R and Duan, Yanan and Fall, Tove and Fehrmann, Rudolf and Ferreira, Teresa and Jackson, Anne U and Karjalainen, Juha and Lo, Ken Sin and Locke, Adam E and Mägi, Reedik and Mihailov, Evelin and Porcu, Eleonora and Randall, Joshua C and Scherag, Ané and Vinkhuyzen, Anna A. E and Westra, Harm-Jan and Winkler, Thomas W and Workalemahu, Tsegaselassie and Zhao, Jing Hua and Absher, Devin and Albrecht, Eva and Anderson, Denise and Baron, Jeffrey and Beekman, Marian and Demirkan, Ayse and Ehret, Georg B and Feenstra, Bjarke and Feitosa, Mary F and Fischer, Krista and Fraser, Ross M and Goel, Anuj and Gong, Jian and Justice, Anne E and Kanoni, Stavroula and Kleber, Marcus E and Kristiansson, Kati and Lim, Unhee and Lotay, Vaneet and Lui, Julian C and Mangino, Massimo and Mateo Leach, Irene and Medina-Gomez, Carolina and Nalls, Michael A and Nyholt, Dale R and Palmer, Cameron D and Pasko, Dorota and Pechlivanis, Sonali and Prokopenko, Inga and Ried, Janina S and Ripke, Stephan and Shungin, Dmitry and Stancáková, Alena and Strawbridge, Rona J and Sung, Yun Ju and Tanaka, Toshiko and Teumer, Alexander and Trompet, Stella and van der Laan, Sander W and van Setten, Jessica and van Vliet-Ostaptchouk, Jana V and Wang, Zhaoming and Yengo, Loïc and Zhang, Weihua and Afzal, Uzma and Arnlöv, Johan and Arscott, Gillian M and Bandinelli, Stefania and Barrett, Amy and Bellis, Claire and Bennett, Amanda J and Berne, Christian and Blüher, Matthias and Bolton, Jennifer L and Böttcher, Yvonne and Boyd, Heather A and Bruinenberg, Marcel and Buckley, Brendan M and Buyske, Steven and Caspersen, Ida H and Chines, Peter S and Clarke, Robert and Claudi-Boehm, Simone and Cooper, Matthew and Daw, E. Warwick and de Jong, Pim A and Deelen, Joris and Delgado, Graciela and ... and PAGE Consortium and MIGen Consortium and LifeLines Cohort Study and Elect Med Records & Genom eMERGE C and Electronic Medical Records and Genomics (eMEMERGEGE) Consortium and PAGEGE Consortium and The MIGen Consortium and The PAGE Consortium and The Electronic Medical Records and Genomics (eMERGE) Consortium and The LifeLines Cohort Study and Högskolan Dalarna and Akademin Utbildning, hälsa och samhälle and Medicinsk vetenskap
Nature genetics, ISSN 1061-4036, 2014, Volume 46, Issue 11, pp. 1173 - 1186
Using genome-wide data from 253,288 individuals, we identified 697 variants at genome-wide significance that together explained one-fifth of the heritability... 
SNPS | GENETIC-VARIATION | MUTATIONS | COMPLEX TRAITS | HERITABILITY | GENETICS & HEREDITY | Genetics, Population | European Continental Ancestry Group - genetics | Analysis of Variance | Oligonucleotide Array Sequence Analysis | Humans | Polymorphism, Single Nucleotide - genetics | Adult | Genetic Variation - genetics | Genome-Wide Association Study - methods | Body Height - genetics | Stature | Genome-wide association studies | Genetic variation | Genes | Genetic aspects | Research | Identification and classification | Studies | Genomes | Genealogy | Architecture | Statistics | Index Medicus | Clinical Medicine | Hälsa och välfärd | Medical and Health Sciences | Klinisk medicin | Medicin och hälsovetenskap | Health and Welfare | complex traits | mutations | snps | genetic-variation | heritability
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3. Full Text Biological interpretation of genome-wide association studies using predicted gene functions
by Pers, Tune H and Karjalainen, Juha M and Chan, Yingleong and Westra, Harm-Jan and Wood, Anew R and Yang, Jian and Lui, Julian C and Vedantam, Sailaja and Gustafsson, Stefan and Esko, Tonu and Frayling, Tim and Speliotes, Elizabeth K and Boehnke, Michael and Raychaudhuri, Soumya and Fehrmann, Rudolf S. N and Hirschhorn, Joel N and Franke, Lude and Chu, Auey Y and Estrada, Karol and Luan, Jian'an and Kutalik, Zoltán and Amin, Najaf and Buchkovich, Martin L and Croteau-Chonka, Damien C and Day, Felix R and Duan, Yanan and Fall, Tove and Fehrmann, Rudolf and Ferreira, Teresa and Jackson, Anne U and Karjalainen, Juha and Lo, Ken Sin and Locke, Adam E and Mägi, Reedik and Mihailov, Evelin and Porcu, Eleonora and Randall, Joshua C and Scherag, Ané and Vinkhuyzen, Anna A. E and Winkler, Thomas W and Workalemahu, Tsegaselassie and Zhao, Jing Hua and Absher, Devin and Albrecht, Eva and Anderson, Denise and Baron, Jeffrey and Beekman, Marian and Demirkan, Ayse and Ehret, Georg B and Feenstra, Bjarke and Feitosa, Mary F and Fischer, Krista and Fraser, Ross M and Goel, Anuj and Gong, Jian and Justice, E and Kanoni, Stavroula and Kleber, Marcus E and Kristiansson, Kati and Lim, Unhee and Lotay, Vaneet and Mangino, Massimo and Mateo Leach, Irene and Medina-Gomez, Carolina and Nalls, Michael A and Nyholt, Dale R and Palmer, Cameron D and Pasko, Dorota and Pechlivanis, Sonali and Prokopenko, Inga and Ried, Janina S and Ripke, Stephan and Shungin, Dmitry and Stancáková, Alena and Strawbridge, Rona J and Sung, Yun Ju and Tanaka, Toshiko and Teumer, Alexander and Trompet, Stella and van der Laan, Sander W and van Setten, Jessica and van Vliet-Ostaptchouk, Jana V and Wang, Zhaoming and Yengo, Loïc and Zhang, Weihua and Afzal, Uzma and Ärnlöv, Johan and Arscott, Gillian M and Bandinelli, Stefania and Barrett, Amy and Bellis, Claire and Bennett, Amanda J and Berne, Christian and Blüher, Matthias and Bolton, Jennifer L and Böttcher, Yvonne and Boyd, Heather A and Bruinenberg, Marcel and Buckley, Brendan M and Buyske, Steven and ... and Genetic Invest ANthropometric Trai and Genetic Investigation of ANthropometric Traits (GIANT) Consortium and Science for Life Laboratory, SciLifeLab and Medicinska fakulteten and Medicinska och farmaceutiska vetenskapsområdet and Uppsala universitet and Institutionen för medicinska vetenskaper and Molekylär epidemiologi
Nature communications, ISSN 2041-1723, 2015, Volume 6, Issue 1, pp. 5890 - 5890
The main challenge for gaining biological insights from genetic associations is identifying which genes and pathways explain the associations. Here we present... 
NETWORK | INTEGRATION | MULTIDISCIPLINARY SCIENCES | CANDIDATE GENES | DISEASE | ARCHITECTURE | COMMON | LOCI | IDENTIFICATION | HEIGHT | DATA SETS | Genome-Wide Association Study - methods | Software | Index Medicus | Medical and Health Sciences | Medicin och hälsovetenskap
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