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Life-Course Genome-wide Association Study Meta-analysis of Total Body BMD and Assessment of Age-Specific Effects  Carolina Medina-Gomez, John P. Kemp,

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Presentation on theme: "Life-Course Genome-wide Association Study Meta-analysis of Total Body BMD and Assessment of Age-Specific Effects  Carolina Medina-Gomez, John P. Kemp,"— Presentation transcript:

1 Life-Course Genome-wide Association Study Meta-analysis of Total Body BMD and Assessment of Age-Specific Effects  Carolina Medina-Gomez, John P. Kemp, Katerina Trajanoska, Jian’an Luan, Alessandra Chesi, Tarunveer S. Ahluwalia, Dennis O. Mook-Kanamori, Annelies Ham, Fernando P. Hartwig, Daniel S. Evans, Raimo Joro, Ivana Nedeljkovic, Hou-Feng Zheng, Kun Zhu, Mustafa Atalay, Ching-Ti Liu, Maria Nethander, Linda Broer, Gudmar Porleifsson, Benjamin H. Mullin, Samuel K. Handelman, Mike A. Nalls, Leon E. Jessen, Denise H.M. Heppe, J. Brent Richards, Carol Wang, Bo Chawes, Katharina E. Schraut, Najaf Amin, Nick Wareham, David Karasik, Nathalie Van der Velde, M. Arfan Ikram, Babette S. Zemel, Yanhua Zhou, Christian J. Carlsson, Yongmei Liu, Fiona E. McGuigan, Cindy G. Boer, Klaus Bønnelykke, Stuart H. Ralston, John A. Robbins, John P. Walsh, M. Carola Zillikens, Claudia Langenberg, Ruifang Li-Gao, Frances M.K. Williams, Tamara B. Harris, Kristina Akesson, Rebecca D. Jackson, Gunnar Sigurdsson, Martin den Heijer, Bram C.J. van der Eerden, Jeroen van de Peppel, Timothy D. Spector, Craig Pennell, Bernardo L. Horta, Janine F. Felix, Jing Hua Zhao, Scott G. Wilson, Renée de Mutsert, Hans Bisgaard, Unnur Styrkársdóttir, Vincent W. Jaddoe, Eric Orwoll, Timo A. Lakka, Robert Scott, Struan F.A. Grant, Mattias Lorentzon, Cornelia M. van Duijn, James F. Wilson, Kari Stefansson, Bruce M. Psaty, Douglas P. Kiel, Claes Ohlsson, Evangelia Ntzani, Andre J. van Wijnen, Vincenzo Forgetta, Mohsen Ghanbari, John G. Logan, Graham R. Williams, J.H. Duncan Bassett, Peter I. Croucher, Evangelos Evangelou, Andre G. Uitterlinden, Cheryl L. Ackert-Bicknell, Jonathan H. Tobias, David M. Evans, Fernando Rivadeneira  The American Journal of Human Genetics  Volume 102, Issue 1, Pages (January 2018) DOI: /j.ajhg Copyright © 2017 American Society of Human Genetics Terms and Conditions

2 Figure 1 Manhattan Plot of Association Statistics (−log10(p Values)) for TB-BMD Overall Meta-analysis Each dot represents a SNP and the x axis indicates its chromosomal position (built 37 NCBI). Red dots represent SNPs at GWS loci that are not within ±500 kb of leading SNPs in previous GWASs with different bone traits. Dashed horizontal red and yellow lines mark the GWS threshold (p < 5 × 10−8) and suggestive threshold (p < 1 × 10−6), respectively. Novel loci in the only-CEU analysis are not shown. The American Journal of Human Genetics  , DOI: ( /j.ajhg ) Copyright © 2017 American Society of Human Genetics Terms and Conditions

3 Figure 2 Age Dependence of the Genetic Variant Effect in the Meta-regression The panels display leading SNPs from two loci exhibiting significant evidence for age influences. Heterogeneity p values (phet) are reported for the overall meta-analysis. In the left panels, each circle represents a study subgroup (i.e., study divided in age strata), with the circle size proportional to the inverse variance of the SNP main effect. In the right panels, forest plots display estimates obtained from each age-bin meta-analysis, with the symbol size proportional to the inverse variance of the SNP main effect. The American Journal of Human Genetics  , DOI: ( /j.ajhg ) Copyright © 2017 American Society of Human Genetics Terms and Conditions

4 Figure 3 Genetic Correlations between TB-BMD and Other Traits and Diseases Calculation was based on the summary statistics of the only-European meta-analysis (N = 56,284) and estimated by LD score regression implemented in LDHub. The diagram shows only traits whose correlation with TB-BMD was significant (p < 0.05). The American Journal of Human Genetics  , DOI: ( /j.ajhg ) Copyright © 2017 American Society of Human Genetics Terms and Conditions

5 Figure 4 Results for Gene Set and Cell/Tissue Enrichment Analyses
Top: 25 Meta gene sets were defined from similarity clustering of significantly enriched gene sets (FDR < 5%). Each meta gene set was named after one of its member gene sets. The color of the meta gene sets represents the p value of the member set. Interconnection line width represents the Pearson correlation ρ between the gene membership scores for each meta gene set (ρ < 0.3, no line; 0.3 ≤ ρ < 0.5, narrow width; 0.5 ≤ ρ < 0.7, medium width; ρ ≥ 0.7, thick width). Bottom: Bars represent the level of evidence for genes in the associated loci to be expressed in any of the 209 medical subject heading (MeSH) tissue and cell type annotations. Highlighted in orange are these cell/tissue types significantly (FDR < 5%) enriched for the expression of the genes in the associated loci. The American Journal of Human Genetics  , DOI: ( /j.ajhg ) Copyright © 2017 American Society of Human Genetics Terms and Conditions


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