@article {8490, title = {The Polygenic and Monogenic Basis of Blood Traits and Diseases.}, journal = {Cell}, volume = {182}, year = {2020}, month = {2020 Sep 03}, pages = {1214-1231.e11}, abstract = {

Blood cells play essential roles in human health, underpinning physiological processes such as immunity, oxygen transport, and clotting, which when perturbed cause a significant global health burden. Here we integrate data from UK Biobank and a large-scale international collaborative effort, including data for 563,085 European ancestry participants, and discover 5,106 new genetic variants independently associated with 29 blood cell phenotypes covering a range of variation impacting hematopoiesis. We holistically characterize the genetic architecture of hematopoiesis, assess the relevance of the omnigenic model to blood cell phenotypes, delineate relevant hematopoietic cell states influenced by regulatory genetic variants and gene networks, identify novel splice-altering variants mediating the associations, and assess the polygenic prediction potential for blood traits and clinical disorders at the interface of complex and Mendelian genetics. These results show the power of large-scale blood cell trait GWAS to interrogate clinically meaningful variants across a wide allelic spectrum of human variation.

}, issn = {1097-4172}, doi = {10.1016/j.cell.2020.08.008}, author = {Vuckovic, Dragana and Bao, Erik L and Akbari, Parsa and Lareau, Caleb A and Mousas, Abdou and Jiang, Tao and Chen, Ming-Huei and Raffield, Laura M and Tardaguila, Manuel and Huffman, Jennifer E and Ritchie, Scott C and Megy, Karyn and Ponstingl, Hannes and Penkett, Christopher J and Albers, Patrick K and Wigdor, Emilie M and Sakaue, Saori and Moscati, Arden and Manansala, Regina and Lo, Ken Sin and Qian, Huijun and Akiyama, Masato and Bartz, Traci M and Ben-Shlomo, Yoav and Beswick, Andrew and Bork-Jensen, Jette and Bottinger, Erwin P and Brody, Jennifer A and van Rooij, Frank J A and Chitrala, Kumaraswamy N and Wilson, Peter W F and Choquet, Helene and Danesh, John and Di Angelantonio, Emanuele and Dimou, Niki and Ding, Jingzhong and Elliott, Paul and Esko, T{\~o}nu and Evans, Michele K and Felix, Stephan B and Floyd, James S and Broer, Linda and Grarup, Niels and Guo, Michael H and Guo, Qi and Greinacher, Andreas and Haessler, Jeff and Hansen, Torben and Howson, Joanna M M and Huang, Wei and Jorgenson, Eric and Kacprowski, Tim and K{\"a}h{\"o}nen, Mika and Kamatani, Yoichiro and Kanai, Masahiro and Karthikeyan, Savita and Koskeridis, Fotios and Lange, Leslie A and Lehtim{\"a}ki, Terho and Linneberg, Allan and Liu, Yongmei and Lyytik{\"a}inen, Leo-Pekka and Manichaikul, Ani and Matsuda, Koichi and Mohlke, Karen L and Mononen, Nina and Murakami, Yoshinori and Nadkarni, Girish N and Nikus, Kjell and Pankratz, Nathan and Pedersen, Oluf and Preuss, Michael and Psaty, Bruce M and Raitakari, Olli T and Rich, Stephen S and Rodriguez, Benjamin A T and Rosen, Jonathan D and Rotter, Jerome I and Schubert, Petra and Spracklen, Cassandra N and Surendran, Praveen and Tang, Hua and Tardif, Jean-Claude and Ghanbari, Mohsen and V{\"o}lker, Uwe and V{\"o}lzke, Henry and Watkins, Nicholas A and Weiss, Stefan and Cai, Na and Kundu, Kousik and Watt, Stephen B and Walter, Klaudia and Zonderman, Alan B and Cho, Kelly and Li, Yun and Loos, Ruth J F and Knight, Julian C and Georges, Michel and Stegle, Oliver and Evangelou, Evangelos and Okada, Yukinori and Roberts, David J and Inouye, Michael and Johnson, Andrew D and Auer, Paul L and Astle, William J and Reiner, Alexander P and Butterworth, Adam S and Ouwehand, Willem H and Lettre, Guillaume and Sankaran, Vijay G and Soranzo, Nicole} } @article {8481, title = {Trans-ethnic and Ancestry-Specific Blood-Cell Genetics in 746,667 Individuals from 5 Global Populations.}, journal = {Cell}, volume = {182}, year = {2020}, month = {2020 Sep 03}, pages = {1198-1213.e14}, abstract = {

Most loci identified by GWASs have been found in populations of European ancestry (EUR). In trans-ethnic meta-analyses for 15 hematological traits in 746,667 participants, including 184,535 non-EUR individuals, we identified 5,552 trait-variant associations at p~< 5~{\texttimes} 10, including 71 novel associations not found in EUR populations. We also identified 28 additional novel variants in ancestry-specific, non-EUR meta-analyses, including an IL7 missense variant in South Asians associated with lymphocyte count in~vivo and IL-7 secretion levels in~vitro. Fine-mapping prioritized variants annotated as functional and generated 95\% credible sets that were 30\% smaller when using the trans-ethnic as opposed to the EUR-only results. We explored the clinical significance and predictive value of trans-ethnic variants in multiple populations and compared genetic architecture and the effect of natural selection on these blood phenotypes between populations. Altogether, our results for hematological traits highlight the value of a more global representation of populations in genetic studies.

}, issn = {1097-4172}, doi = {10.1016/j.cell.2020.06.045}, author = {Chen, Ming-Huei and Raffield, Laura M and Mousas, Abdou and Sakaue, Saori and Huffman, Jennifer E and Moscati, Arden and Trivedi, Bhavi and Jiang, Tao and Akbari, Parsa and Vuckovic, Dragana and Bao, Erik L and Zhong, Xue and Manansala, Regina and Laplante, V{\'e}ronique and Chen, Minhui and Lo, Ken Sin and Qian, Huijun and Lareau, Caleb A and Beaudoin, M{\'e}lissa and Hunt, Karen A and Akiyama, Masato and Bartz, Traci M and Ben-Shlomo, Yoav and Beswick, Andrew and Bork-Jensen, Jette and Bottinger, Erwin P and Brody, Jennifer A and van Rooij, Frank J A and Chitrala, Kumaraswamynaidu and Cho, Kelly and Choquet, Helene and Correa, Adolfo and Danesh, John and Di Angelantonio, Emanuele and Dimou, Niki and Ding, Jingzhong and Elliott, Paul and Esko, T{\~o}nu and Evans, Michele K and Floyd, James S and Broer, Linda and Grarup, Niels and Guo, Michael H and Greinacher, Andreas and Haessler, Jeff and Hansen, Torben and Howson, Joanna M M and Huang, Qin Qin and Huang, Wei and Jorgenson, Eric and Kacprowski, Tim and K{\"a}h{\"o}nen, Mika and Kamatani, Yoichiro and Kanai, Masahiro and Karthikeyan, Savita and Koskeridis, Fotis and Lange, Leslie A and Lehtim{\"a}ki, Terho and Lerch, Markus M and Linneberg, Allan and Liu, Yongmei and Lyytik{\"a}inen, Leo-Pekka and Manichaikul, Ani and Martin, Hilary C and Matsuda, Koichi and Mohlke, Karen L and Mononen, Nina and Murakami, Yoshinori and Nadkarni, Girish N and Nauck, Matthias and Nikus, Kjell and Ouwehand, Willem H and Pankratz, Nathan and Pedersen, Oluf and Preuss, Michael and Psaty, Bruce M and Raitakari, Olli T and Roberts, David J and Rich, Stephen S and Rodriguez, Benjamin A T and Rosen, Jonathan D and Rotter, Jerome I and Schubert, Petra and Spracklen, Cassandra N and Surendran, Praveen and Tang, Hua and Tardif, Jean-Claude and Trembath, Richard C and Ghanbari, Mohsen and V{\"o}lker, Uwe and V{\"o}lzke, Henry and Watkins, Nicholas A and Zonderman, Alan B and Wilson, Peter W F and Li, Yun and Butterworth, Adam S and Gauchat, Jean-Fran{\c c}ois and Chiang, Charleston W K and Li, Bingshan and Loos, Ruth J F and Astle, William J and Evangelou, Evangelos and van Heel, David A and Sankaran, Vijay G and Okada, Yukinori and Soranzo, Nicole and Johnson, Andrew D and Reiner, Alexander P and Auer, Paul L and Lettre, Guillaume} } @article {9500, title = {Whole Genome Sequencing Based Analysis of Inflammation Biomarkers in the Trans-Omics for Precision Medicine (TOPMed) Consortium.}, journal = {bioRxiv}, year = {2023}, month = {2023 Sep 12}, abstract = {

Inflammation biomarkers can provide valuable insight into the role of inflammatory processes in many diseases and conditions. Sequencing based analyses of such biomarkers can also serve as an exemplar of the genetic architecture of quantitative traits. To evaluate the biological insight, which can be provided by a multi-ancestry, whole-genome based association study, we performed a comprehensive analysis of 21 inflammation biomarkers from up to 38,465 individuals with whole-genome sequencing from the Trans-Omics for Precision Medicine (TOPMed) program. We identified 22 distinct single-variant associations across 6 traits - E-selectin, intercellular adhesion molecule 1, interleukin-6, lipoprotein-associated phospholipase A2 activity and mass, and P-selectin - that remained significant after conditioning on previously identified associations for these inflammatory biomarkers. We further expanded upon known biomarker associations by pairing the single-variant analysis with a rare variant set-based analysis that further identified 19 significant rare variant set-based associations with 5 traits. These signals were distinct from both significant single variant association signals within TOPMed and genetic signals observed in prior studies, demonstrating the complementary value of performing both single and rare variant analyses when analyzing quantitative traits. We also confirm several previously reported signals from semi-quantitative proteomics platforms. Many of these signals demonstrate the extensive allelic heterogeneity and ancestry-differentiated variant-trait associations common for inflammation biomarkers, a characteristic we hypothesize will be increasingly observed with well-powered, large-scale analyses of complex traits.

}, doi = {10.1101/2023.09.10.555215}, author = {Jiang, Min-Zhi and Gaynor, Sheila M and Li, Xihao and Van Buren, Eric and Stilp, Adrienne and Buth, Erin and Wang, Fei Fei and Manansala, Regina and Gogarten, Stephanie M and Li, Zilin and Polfus, Linda M and Salimi, Shabnam and Bis, Joshua C and Pankratz, Nathan and Yanek, Lisa R and Durda, Peter and Tracy, Russell P and Rich, Stephen S and Rotter, Jerome I and Mitchell, Braxton D and Lewis, Joshua P and Psaty, Bruce M and Pratte, Katherine A and Silverman, Edwin K and Kaplan, Robert C and Avery, Christy and North, Kari and Mathias, Rasika A and Faraday, Nauder and Lin, Honghuang and Wang, Biqi and Carson, April P and Norwood, Arnita F and Gibbs, Richard A and Kooperberg, Charles and Lundin, Jessica and Peters, Ulrike and Dupuis, Jos{\'e}e and Hou, Lifang and Fornage, Myriam and Benjamin, Emelia J and Reiner, Alexander P and Bowler, Russell P and Lin, Xihong and Auer, Paul L and Raffield, Laura M} }