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1. DNA methylation at the suppressor of cytokine signaling 3 (SOCS3) gene influences height in childhood

Author

Prachand Issarapu, Manisha Arumalla, Hannah R. Elliott, Suraj S. Nongmaithem, Alagu Sankareswaran, Modupeh Betts, Sara Sajjadi, Noah J. Kessler, Swati Bayyana, Sohail R. Mansuri, Maria Derakhshan, G. V. Krishnaveni, Smeeta Shrestha, Kalyanaraman Kumaran, Chiara Di Gravio, Sirazul A. Sahariah, Eleanor Sanderson, Caroline L. Relton, Kate A. Ward, Sophie E. Moore, Andrew M. Prentice, Karen A. Lillycrop, Caroline H. D. Fall, Matt J. Silver, Giriraj R. Chandak, and the EMPHASIS study group

Subjects
Science
Abstract

Abstract Human height is strongly influenced by genetics but the contribution of modifiable epigenetic factors is under-explored, particularly in low and middle-income countries (LMIC). We investigate links between blood DNA methylation and child height in four LMIC cohorts (n = 1927) and identify a robust association at three CpGs in the suppressor of cytokine signaling 3 (SOCS3) gene which replicates in a high-income country cohort (n = 879). SOCS3 methylation (SOCS3m)—height associations are independent of genetic effects. Mendelian randomization analysis confirms a causal effect of SOCS3m on height. In longitudinal analysis, SOCS3m explains a maximum 9.5% of height variance in mid-childhood while the variance explained by height polygenic risk score increases from birth to 21 years. Children’s SOCS3m is associated with prenatal maternal folate and socio-economic status. In-vitro characterization confirms a regulatory effect of SOCS3m on gene expression. Our findings suggest epigenetic modifications may play an important role in driving child height in LMIC.

Published
2023
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2. Implicating genes, pleiotropy, and sexual dimorphism at blood lipid loci through multi-ancestry meta-analysis

Author

Stavroula Kanoni, Sarah E. Graham, Yuxuan Wang, Ida Surakka, Shweta Ramdas, Xiang Zhu, Shoa L. Clarke, Konain Fatima Bhatti, Sailaja Vedantam, Thomas W. Winkler, Adam E. Locke, Eirini Marouli, Greg J. M. Zajac, Kuan-Han H. Wu, Ioanna Ntalla, Qin Hui, Derek Klarin, Austin T. Hilliard, Zeyuan Wang, Chao Xue, Gudmar Thorleifsson, Anna Helgadottir, Daniel F. Gudbjartsson, Hilma Holm, Isleifur Olafsson, Mi Yeong Hwang, Sohee Han, Masato Akiyama, Saori Sakaue, Chikashi Terao, Masahiro Kanai, Wei Zhou, Ben M. Brumpton, Humaira Rasheed, Aki S. Havulinna, Yogasudha Veturi, Jennifer Allen Pacheco, Elisabeth A. Rosenthal, Todd Lingren, QiPing Feng, Iftikhar J. Kullo, Akira Narita, Jun Takayama, Hilary C. Martin, Karen A. Hunt, Bhavi Trivedi, Jeffrey Haessler, Franco Giulianini, Yuki Bradford, Jason E. Miller, Archie Campbell, Kuang Lin, Iona Y. Millwood, Asif Rasheed, George Hindy, Jessica D. Faul, Wei Zhao, David R. Weir, Constance Turman, Hongyan Huang, Mariaelisa Graff, Ananyo Choudhury, Dhriti Sengupta, Anubha Mahajan, Michael R. Brown, Weihua Zhang, Ketian Yu, Ellen M. Schmidt, Anita Pandit, Stefan Gustafsson, Xianyong Yin, Jian’an Luan, Jing-Hua Zhao, Fumihiko Matsuda, Hye-Mi Jang, Kyungheon Yoon, Carolina Medina-Gomez, Achilleas Pitsillides, Jouke Jan Hottenga, Andrew R. Wood, Yingji Ji, Zishan Gao, Simon Haworth, Noha A. Yousri, Ruth E. Mitchell, Jin Fang Chai, Mette Aadahl, Anne A. Bjerregaard, Jie Yao, Ani Manichaikul, Chii-Min Hwu, Yi-Jen Hung, Helen R. Warren, Julia Ramirez, Jette Bork-Jensen, Line L. Kårhus, Anuj Goel, Maria Sabater-Lleal, Raymond Noordam, Pala Mauro, Floris Matteo, Aaron F. McDaid, Pedro Marques-Vidal, Matthias Wielscher, Stella Trompet, Naveed Sattar, Line T. Møllehave, Matthias Munz, Lingyao Zeng, Jianfeng Huang, Bin Yang, Alaitz Poveda, Azra Kurbasic, Claudia Lamina, Lukas Forer, Markus Scholz, Tessel E. Galesloot, Jonathan P. Bradfield, Sanni E. Ruotsalainen, EWarwick Daw, Joseph M. Zmuda, Jonathan S. Mitchell, Christian Fuchsberger, Henry Christensen, Jennifer A. Brody, Miguel Vazquez-Moreno, Mary F. Feitosa, Mary K. Wojczynski, Zhe Wang, Michael H. Preuss, Massimo Mangino, Paraskevi Christofidou, Niek Verweij, Jan W. Benjamins, Jorgen Engmann, Noah L. Tsao, Anurag Verma, Roderick C. Slieker, Ken Sin Lo, Nuno R. Zilhao, Phuong Le, Marcus E. Kleber, Graciela E. Delgado, Shaofeng Huo, Daisuke D. Ikeda, Hiroyuki Iha, Jian Yang, Jun Liu, Ayşe Demirkan, Hampton L. Leonard, Jonathan Marten, Mirjam Frank, Börge Schmidt, Laura J. Smyth, Marisa Cañadas-Garre, Chaolong Wang, Masahiro Nakatochi, Andrew Wong, Nina Hutri-Kähönen, Xueling Sim, Rui Xia, Alicia Huerta-Chagoya, Juan Carlos Fernandez-Lopez, Valeriya Lyssenko, Suraj S. Nongmaithem, Swati Bayyana, Heather M. Stringham, Marguerite R. Irvin, Christopher Oldmeadow, Han-Na Kim, Seungho Ryu, Paul R. H. J. Timmers, Liubov Arbeeva, Rajkumar Dorajoo, Leslie A. Lange, Gauri Prasad, Laura Lorés-Motta, Marc Pauper, Jirong Long, Xiaohui Li, Elizabeth Theusch, Fumihiko Takeuchi, Cassandra N. Spracklen, Anu Loukola, Sailalitha Bollepalli, Sophie C. Warner, Ya Xing Wang, Wen B. Wei, Teresa Nutile, Daniela Ruggiero, Yun Ju Sung, Shufeng Chen, Fangchao Liu, Jingyun Yang, Katherine A. Kentistou, Bernhard Banas, Giuseppe Giovanni Nardone, Karina Meidtner, Lawrence F. Bielak, Jennifer A. Smith, Prashantha Hebbar, Aliki-Eleni Farmaki, Edith Hofer, Maoxuan Lin, Maria Pina Concas, Simona Vaccargiu, Peter J. van der Most, Niina Pitkänen, Brian E. Cade, Sander W. van der Laan, Kumaraswamy Naidu Chitrala, Stefan Weiss, Amy R. Bentley, Ayo P. Doumatey, Adebowale A. Adeyemo, Jong Young Lee, Eva R. B. Petersen, Aneta A. Nielsen, Hyeok Sun Choi, Maria Nethander, Sandra Freitag-Wolf, Lorraine Southam, Nigel W. Rayner, Carol A. Wang, Shih-Yi Lin, Jun-Sing Wang, Christian Couture, Leo-Pekka Lyytikäinen, Kjell Nikus, Gabriel Cuellar-Partida, Henrik Vestergaard, Bertha Hidalgo, Olga Giannakopoulou, Qiuyin Cai, Morgan O. Obura, Jessica van Setten, Xiaoyin Li, Jingjing Liang, Hua Tang, Natalie Terzikhan, Jae Hun Shin, Rebecca D. Jackson, Alexander P. Reiner, Lisa Warsinger Martin, Zhengming Chen, Liming Li, Takahisa Kawaguchi, Joachim Thiery, Joshua C. Bis, Lenore J. Launer, Huaixing Li, Mike A. Nalls, Olli T. Raitakari, Sahoko Ichihara, Sarah H. Wild, Christopher P. Nelson, Harry Campbell, Susanne Jäger, Toru Nabika, Fahd Al-Mulla, Harri Niinikoski, Peter S. Braund, Ivana Kolcic, Peter Kovacs, Tota Giardoglou, Tomohiro Katsuya, Dominique de Kleijn, Gert J. de Borst, Eung Kweon Kim, Hieab H. H. Adams, M. Arfan Ikram, Xiaofeng Zhu, Folkert W. Asselbergs, Adriaan O. Kraaijeveld, Joline W. J. Beulens, Xiao-Ou Shu, Loukianos S. Rallidis, Oluf Pedersen, Torben Hansen, Paul Mitchell, Alex W. Hewitt, Mika Kähönen, Louis Pérusse, Claude Bouchard, Anke Tönjes, Yii-Der Ida Chen, Craig E. Pennell, Trevor A. Mori, Wolfgang Lieb, Andre Franke, Claes Ohlsson, Dan Mellström, Yoon Shin Cho, Hyejin Lee, Jian-Min Yuan, Woon-Puay Koh, Sang Youl Rhee, Jeong-Taek Woo, Iris M. Heid, Klaus J. Stark, Martina E. Zimmermann, Henry Völzke, Georg Homuth, Michele K. Evans, Alan B. Zonderman, Ozren Polasek, Gerard Pasterkamp, Imo E. Hoefer, Susan Redline, Katja Pahkala, Albertine J. Oldehinkel, Harold Snieder, Ginevra Biino, Reinhold Schmidt, Helena Schmidt, Stefania Bandinelli, George Dedoussis, Thangavel Alphonse Thanaraj, Sharon L. R. Kardia, Patricia A. Peyser, Norihiro Kato, Matthias B. Schulze, Giorgia Girotto, Carsten A. Böger, Bettina Jung, Peter K. Joshi, David A. Bennett, Philip L. De Jager, Xiangfeng Lu, Vasiliki Mamakou, Morris Brown, Mark J. Caulfield, Patricia B. Munroe, Xiuqing Guo, Marina Ciullo, Jost B. Jonas, Nilesh J. Samani, Jaakko Kaprio, Päivi Pajukanta, Teresa Tusié-Luna, Carlos A. Aguilar-Salinas, Linda S. Adair, Sonny Augustin Bechayda, H. Janaka de Silva, Ananda R. Wickremasinghe, Ronald M. Krauss, Jer-Yuarn Wu, Wei Zheng, Anneke Iden Hollander, Dwaipayan Bharadwaj, Adolfo Correa, James G. Wilson, Lars Lind, Chew-Kiat Heng, Amanda E. Nelson, Yvonne M. Golightly, James F. Wilson, Brenda Penninx, Hyung-Lae Kim, John Attia, Rodney J. Scott, D. C. Rao, Donna K. Arnett, Steven C. Hunt, Mark Walker, Heikki A. Koistinen, Giriraj R. Chandak, Josep M. Mercader, Maria C. Costanzo, Dongkeun Jang, Noël P. Burtt, Clicerio Gonzalez Villalpando, Lorena Orozco, Myriam Fornage, EShyong Tai, Rob M. van Dam, Terho Lehtimäki, Nish Chaturvedi, Mitsuhiro Yokota, Jianjun Liu, Dermot F. Reilly, Amy Jayne McKnight, Frank Kee, Karl-Heinz Jöckel, Mark I. McCarthy, Colin N. A. Palmer, Veronique Vitart, Caroline Hayward, Eleanor Simonsick, Cornelia M. van Duijn, Zi-Bing Jin, Jia Qu, Haretsugu Hishigaki, Xu Lin, Winfried März, Vilmundur Gudnason, Jean-Claude Tardif, Guillaume Lettre, Leen M.‘t Hart, Petra J. M. Elders, Scott M. Damrauer, Meena Kumari, Mika Kivimaki, Pim van der Harst, Tim D. Spector, Ruth J. F. Loos, Michael A. Province, Esteban J. Parra, Miguel Cruz, Bruce M. Psaty, Ivan Brandslund, Peter P. Pramstaller, Charles N. Rotimi, Kaare Christensen, Samuli Ripatti, Elisabeth Widén, Hakon Hakonarson, Struan F. A. Grant, Lambertus A. L. M. Kiemeney, Jacqueline de Graaf, Markus Loeffler, Florian Kronenberg, Dongfeng Gu, Jeanette Erdmann, Heribert Schunkert, Paul W. Franks, Allan Linneberg, J. Wouter Jukema, Amit V. Khera, Minna Männikkö, Marjo-Riitta Jarvelin, Zoltan Kutalik, Cucca Francesco, Dennis O. Mook-Kanamori, Ko Willems van Dijk, Hugh Watkins, David P. Strachan, Niels Grarup, Peter Sever, Neil Poulter, Lee-Ming Chuang, Jerome I. Rotter, Thomas M. Dantoft, Fredrik Karpe, Matt J. Neville, Nicholas J. Timpson, Ching-Yu Cheng, Tien-Yin Wong, Chiea Chuen Khor, Hengtong Li, Charumathi Sabanayagam, Annette Peters, Christian Gieger, Andrew T. Hattersley, Nancy L. Pedersen, Patrik K. E. Magnusson, Dorret I. Boomsma, Allegonda H. M. Willemsen, LAdrienne Cupples, Joyce B. J. van Meurs, Mohsen Ghanbari, Penny Gordon-Larsen, Wei Huang, Young Jin Kim, Yasuharu Tabara, Nicholas J. Wareham, Claudia Langenberg, Eleftheria Zeggini, Johanna Kuusisto, Markku Laakso, Erik Ingelsson, Goncalo Abecasis, John C. Chambers, Jaspal S. Kooner, Paul S. de Vries, Alanna C. Morrison, Scott Hazelhurst, Michèle Ramsay, Kari E. North, Martha Daviglus, Peter Kraft, Nicholas G. Martin, John B. Whitfield, Shahid Abbas, Danish Saleheen, Robin G. Walters, Michael V. Holmes, Corri Black, Blair H. Smith, Aris Baras, Anne E. Justice, Julie E. Buring, Paul M. Ridker, Daniel I. Chasman, Charles Kooperberg, Gen Tamiya, Masayuki Yamamoto, David A. van Heel, Richard C. Trembath, Wei-Qi Wei, Gail P. Jarvik, Bahram Namjou, M. Geoffrey Hayes, Marylyn D. Ritchie, Pekka Jousilahti, Veikko Salomaa, Kristian Hveem, Bjørn Olav Åsvold, Michiaki Kubo, Yoichiro Kamatani, Yukinori Okada, Yoshinori Murakami, Bong-Jo Kim, Unnur Thorsteinsdottir, Kari Stefansson, Jifeng Zhang, YEugene Chen, Yuk-Lam Ho, Julie A. Lynch, Daniel J. Rader, Philip S. Tsao, Kyong-Mi Chang, Kelly Cho, Christopher J. O’Donnell, John M. Gaziano, Peter W. F. Wilson, Timothy M. Frayling, Joel N. Hirschhorn, Sekar Kathiresan, Karen L. Mohlke, Yan V. Sun, Andrew P. Morris, Michael Boehnke, Christopher D. Brown, Pradeep Natarajan, Panos Deloukas, Cristen J. Willer, Themistocles L. Assimes, and Gina M. Peloso

Subjects
Cholesterol, Lipids, Genetics, Genome-wide association study, GWAS, Biology (General), QH301-705.5, QH426-470
Abstract

Abstract Background Genetic variants within nearly 1000 loci are known to contribute to modulation of blood lipid levels. However, the biological pathways underlying these associations are frequently unknown, limiting understanding of these findings and hindering downstream translational efforts such as drug target discovery. Results To expand our understanding of the underlying biological pathways and mechanisms controlling blood lipid levels, we leverage a large multi-ancestry meta-analysis (N = 1,654,960) of blood lipids to prioritize putative causal genes for 2286 lipid associations using six gene prediction approaches. Using phenome-wide association (PheWAS) scans, we identify relationships of genetically predicted lipid levels to other diseases and conditions. We confirm known pleiotropic associations with cardiovascular phenotypes and determine novel associations, notably with cholelithiasis risk. We perform sex-stratified GWAS meta-analysis of lipid levels and show that 3–5% of autosomal lipid-associated loci demonstrate sex-biased effects. Finally, we report 21 novel lipid loci identified on the X chromosome. Many of the sex-biased autosomal and X chromosome lipid loci show pleiotropic associations with sex hormones, emphasizing the role of hormone regulation in lipid metabolism. Conclusions Taken together, our findings provide insights into the biological mechanisms through which associated variants lead to altered lipid levels and potentially cardiovascular disease risk.

Published
2022
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3. Protocol for the EMPHASIS study; epigenetic mechanisms linking maternal pre-conceptional nutrition and children’s health in India and Sub-Saharan Africa

Author

Giriraj R. Chandak, Matt J. Silver, Ayden Saffari, Karen A. Lillycrop, Smeeta Shrestha, Sirazul Ameen Sahariah, Chiara Di Gravio, Gail Goldberg, Ashutosh Singh Tomar, Modupeh Betts, Sara Sajjadi, Lena Acolatse, Philip James, Prachand Issarapu, Kalyanaraman Kumaran, Ramesh D. Potdar, Andrew M. Prentice, Caroline H. D. Fall, the EMPHASIS study group, Meraj Ahmed, Harsha Chopra, Cyrus Cooper, Momodou K. Darboe, Meera Gandhi, Gail R. Goldberg, Ramatoulie Janha, Landing M. A. Jarjou, Lovejeet Kaur, Sarah H. Kehoe, Mohammed Ngum, Suraj S. Nongmaithem, Stephen Owens, Ann Prentice, Tallapragada Divya Sri Priyanka, Harshad Sane, Kate A. Ward, Dilip Kumar Yadav, and Chittaranjan S. Yajnik

Subjects
Pre- and peri-conceptional nutrition, Epigenetics, DNA methylation, Children, Growth, Body composition, Nutrition. Foods and food supply, TX341-641, Food processing and manufacture, TP368-456, Medicine (General), R5-920
Abstract

Abstract Background Animal studies have shown that nutritional exposures during pregnancy can modify epigenetic marks regulating fetal development and susceptibility to later disease, providing a plausible mechanism to explain the developmental origins of health and disease. Human observational studies have shown that maternal peri-conceptional diet predicts DNA methylation in offspring. However, a causal pathway from maternal diet, through changes in DNA methylation, to later health outcomes has yet to be established. The EMPHASIS study (Epigenetic Mechanisms linking Pre-conceptional nutrition and Health Assessed in India and Sub-Saharan Africa, ISRCTN14266771) will investigate epigenetically mediated links between peri-conceptional nutrition and health-related outcomes in children whose mothers participated in two randomized controlled trials of micronutrient supplementation before and during pregnancy. Methods The original trials were the Mumbai Maternal Nutrition Project (MMNP, ISRCTN62811278) in which Indian women were offered a daily snack made from micronutrient-rich foods or low-micronutrient foods (controls), and the Peri-conceptional Multiple Micronutrient Supplementation Trial (PMMST, ISRCTN13687662) in rural Gambia, in which women were offered a daily multiple micronutrient (UNIMMAP) tablet or placebo. In the EMPHASIS study, DNA methylation will be analysed in the children of these women (~1100 children aged 5–7 y in MMNP and 298 children aged 7–9 y in PMMST). Cohort-specific and cross-cohort effects will be explored. Differences in DNA methylation between allocation groups will be identified using the Illumina Infinium MethylationEPIC array, and by pyrosequencing top hits and selected candidate loci. Associations will be analysed between DNA methylation and health-related phenotypic outcomes, including size at birth, and children’s post-natal growth, body composition, skeletal development, cardio-metabolic risk markers (blood pressure, serum lipids, plasma glucose and insulin) and cognitive function. Pathways analysis will be used to test for enrichment of nutrition-sensitive loci in biological pathways. Causal mechanisms for nutrition-methylation-phenotype associations will be explored using Mendelian Randomization. Associations between methylation unrelated to supplementation and phenotypes will also be analysed. Conclusion The study will increase understanding of the epigenetic mechanisms underpinning the long-term impact of maternal nutrition on offspring health. It will potentially lead to better nutritional interventions for mothers preparing for pregnancy, and to identification of early life biomarkers of later disease risk.

Published
2017
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4. Whole-genome sequencing in diverse subjects identifies genetic correlates of leukocyte traits: The NHLBI TOPMed program

Author

Nicholas L. Smith, James A. Perry, Cecelia A. Laurie, Nancy J. Cox, Gonçalo R. Abecasis, Jerome I. Rotter, Laura Almasy, Zhe Wang, Michelle Daya, Yun Li, Eric Jorgenson, Adolfo Correa, Jai G. Broome, Nancy Min, Lisa R. Yanek, Alanna C. Morrison, Lynette Ekunwe, Debby Ngo, Victor E. Ortega, Klaudia Walter, John Blangero, Laura M. Raffield, Corey Cox, Terri H. Beaty, Deborah A. Meyers, Hua Tang, Marsha M. Wheeler, Kari E. North, Xue Zhong, Yann Ilboudo, Andrew D. Johnson, Caitlin P. McHugh, Jeffrey R. O'Connell, Ming-Huei Chen, Russell P. Tracy, Ramachandran S. Vasan, Nathan Pankratz, Joshua P. Lewis, Dawn L. DeMeo, Linda M. Polfus, Leslie A. Lange, Nancy L. Heard-Costa, Robert C. Kaplan, Meher Preethi Boorgula, Robert E. Gerszten, Albert V. Smith, Paul L. Auer, Sameer Chavan, Jennifer A. Brody, Charles Kooperberg, Michael Preuss, David C. Glahn, Rasika A. Mathias, Paul S. de Vries, Jonathon Rosen, Anna V. Mikhaylova, Joe Zein, Eric Boerwinkle, Nathalie Chami, Kathleen C. Barnes, Joanne E. Curran, Edwin K. Silverman, Matthew P. Conomos, Stephen S. Rich, Nicole Soranzo, Heather M. Highland, Michael H. Cho, Donald M. Lloyd-Jones, Myriam Fornage, Guillaume Lettre, Tyne W Miller-Fleming, Kathleen A. Ryan, Thomas W. Blackwell, Bruce M. Psaty, Lewis C. Becker, Nauder Faraday, Hélène Choquet, Alexander P. Reiner, Adam S. Butterworth, Kousik Kundu, Deepti Jain, Timothy A. Thornton, Brian D. Hobbs, Braxton D. Mitchell, Jee-Young Moon, Lifang Hou, Ani Manichaikul, Praveen Surendran, Suraj S. Nongmaithem, Quan Sun, Bingshan Li, Deborah A. Nickerson, and Ruth J. F. Loos

Subjects
Proteome, Quantitative Trait Loci, Genome-wide association study, Biology, Polymorphism, Single Nucleotide, Article, Dermatitis, Atopic, Pulmonary Disease, Chronic Obstructive, Leukocytes, Genetics, medicine, Humans, Genetic Predisposition to Disease, Gene, Genetics (clinical), X chromosome, Genetic association, Whole genome sequencing, Autosome, Whole Genome Sequencing, Genome, Human, Monocyte, Prognosis, Asthma, United Kingdom, United States, Phenotype, medicine.anatomical_structure, National Heart, Lung, and Blood Institute (U.S.), Biomarkers, Imputation (genetics), Genome-Wide Association Study
Abstract

Many common and rare variants associated with hematologic traits have been discovered through imputation on large-scale reference panels. However, the majority of genome-wide association studies (GWASs) have been conducted in Europeans, and determining causal variants has proved challenging. We performed a GWAS of total leukocyte, neutrophil, lymphocyte, monocyte, eosinophil, and basophil counts generated from 109,563,748 variants in the autosomes and the X chromosome in the Trans-Omics for Precision Medicine (TOPMed) program, which included data from 61,802 individuals of diverse ancestry. We discovered and replicated 7 leukocyte trait associations, including (1) the association between a chromosome X, pseudo-autosomal region (PAR), noncoding variant located between cytokine receptor genes (CSF2RA and CLRF2) and lower eosinophil count; and (2) associations between single variants found predominantly among African Americans at the S1PR3 (9q22.1) and HBB (11p15.4) loci and monocyte and lymphocyte counts, respectively. We further provide evidence indicating that the newly discovered eosinophil-lowering chromosome X PAR variant might be associated with reduced susceptibility to common allergic diseases such as atopic dermatitis and asthma. Additionally, we found a burden of very rare FLT3 (13q12.2) variants associated with monocyte counts. Together, these results emphasize the utility of whole-genome sequencing in diverse samples in identifying associations missed by European-ancestry-driven GWASs.

Published
2021
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5. Babies of South Asian and European Ancestry Show Similar Associations with Genetic Risk Score for Birth Weight Despite the Smaller Size of South Asian Newborns

Author

Suraj S. Nongmaithem, Robin N. Beaumont, Akshay Dedaniya, Andrew R. Wood, Babatunji-William Ogunkolade, Zahid Hassan, Ghattu V. Krishnaveni, Kalyanaraman Kumaran, Ramesh D. Potdar, Sirazul A. Sahariah, Murali Krishna, Chiara Di Gravio, Inder D. Mali, Alagu Sankareswaran, Akhtar Hussain, Biswajit W. Bhowmik, Abdul Kalam A. Khan, Bridget A. Knight, Timothy M. Frayling, Sarah Finer, Caroline H.D. Fall, Chittaranjan S. Yajnik, Rachel M. Freathy, Graham A. Hitman, and Giriraj R. Chandak

Subjects
Cohort Studies, Fetal Development, Asian People, Risk Factors, Endocrinology, Diabetes and Metabolism, Internal Medicine, Infant, Newborn, Birth Weight, Humans, Article
Abstract

Size at birth is known to be influenced by various fetal and maternal factors including genetic effects. South Asians have a high burden of low birthweight and cardiometabolic diseases, yet studies of common genetic variations underpinning these phenotypes are lacking. We generated independent, weighted fetal genetic score (fGS) and maternal genetic score (mGS) from 196 birthweight-associated variants identified in Europeans and conducted association analysis with various fetal birth parameters and anthropometric and cardiometabolic traits measured at different follow-up stages (5-6 years’ intervals) from seven Indian and Bangladeshi cohorts of South Asian ancestry. The results from above cohorts were compared with South Asians in UK BioBank and The Exeter Family Study of Childhood Health, a European ancestry cohort. Birthweight increased by 50.7g and 33.6g per standard deviation of fGS (p = 9.1x10-11) and mGS (p = 0.003) respectively in South Asians. A relatively weaker maternal genetic score effect compared to Europeans indicates possible different intrauterine exposures between Europeans and South Asians. Birthweight was strongly associated with body size in both childhood and adolescence (p = 3x10-5 - 1.9x10-51), however, fetal genetic score was associated with body size in childhood only (p < 0.01) and with head circumference, fasting glucose and triglycerides in adults (p < 0.01). The substantially smaller newborn size in South Asians with comparable fetal genetic effect to Europeans on birthweight suggests a significant role of factors related to fetal growth that were not captured by the present genetic scores. These factors may include different environmental exposures, maternal body size, health and nutritional status etc. Persistent influence of genetic loci on size at birth and adult metabolic syndrome in our study supports a common genetic mechanism partly explaining associations between early development and later cardiometabolic health in various populations, despite marked differences in phenotypic and environmental factors in South Asians.

Published
2022
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6. Associations of genetic scores for birth weight with newborn size and later Anthropometric traits and cardiometabolic risk markers in South Asians

Author

Suraj S Nongmaithem, Robin N Beaumont, Akshay Dedaniya, Andrew R Wood, Babatunji-William Ogunkolade, Zahid Hassan, Ghattu V Krishnaveni, Kalyanaraman Kumaran, Ramesh D Potdar, Sirajul A Sahariah, Murali Krishna, Chiara Di Gravio, Inder D Mali, Alagu Sankareswaran, Akhtar Hussain, Biswajit W Bhowmik, Abdul Kalam A Khan, Bridget A Knight, Timothy M Frayling, Sarah Finer, Caroline HD Fall, Chittaranjan S Yajnik, Rachel M Freathy, Graham A Hitman, and Giriraj R Chandak

Abstract

We recently reported genetic variants associated with birth weight and their effect on future cardiometabolic risk in Europeans. Despite a higher burden of low birth weight and cardiometabolic disorders, such studies are lacking in South Asians. We generated fetal and maternal genetic scores (fGS and mGS) from 196 birth weight-associated variants identified in Europeans and conducted association analysis with various birth measures and serially measured anthropometric and cardiometabolic traits from seven Indian and Bangladeshi cohorts. Although fGS and mGS were comparable to Europeans, birth weight was substantially smaller suggesting strong environmental constraints on fetal growth in South Asians. Birth weight increased by 50.7g and 33.6g per standard deviation fGS (P=9.1×10−11) and mGS (P=0.003) in South Asians. The fGS was further associated with childhood body size and head circumference, fasting glucose, and triglycerides in adults (P

Published
2021
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7. Associations of genetic scores for birth weight with newborn size and later anthropometric traits and cardiometabolic risk markers in South Asians

Author

Rachel M. Freathy, Akhtar Hussain, Ghattu V. Krishnaveni, Akshay Dedaniya, Alagu Sankareswaran, B W Ogunkolade, Murali Krishna, Bridget A. Knight, Graham A. Hitman, Giriraj R. Chandak, Robin N Beaumont, Sirajul A Sahariah, Ramesh D. Potdar, Kalyanaraman Kumaran, Abdul Kalam A Khan, Chiara Di Gravio, Andrew R. Wood, Sarah Finer, Zahid Hassan, Biswajit W Bhowmik, Suraj S. Nongmaithem, Timothy M. Frayling, Chittaranjan S. Yajnik, Inder D Mali, and Caroline H.D. Fall

Subjects
Cardiometabolic risk, Fasting glucose, Fetus, Low birth weight, South asia, business.industry, Birth weight, Medicine, Anthropometry, medicine.symptom, business, Demography, Genetic association
Abstract

We recently reported genetic variants associated with birth weight and their effect on future cardiometabolic risk in Europeans. Despite a higher burden of low birth weight and cardiometabolic disorders, such studies are lacking in South Asians. We generated fetal and maternal genetic scores (fGS and mGS) from 196 birth weight-associated variants identified in Europeans and conducted association analysis with various birth measures and serially measured anthropometric and cardiometabolic traits from seven Indian and Bangladeshi cohorts. Although fGS and mGS were comparable to Europeans, birth weight was substantially smaller suggesting strong environmental constraints on fetal growth in South Asians. Birth weight increased by 50.7g and 33.6g per standard deviation fGS (P=9.1x10-11) and mGS (P=0.003) in South Asians. The fGS was further associated with childhood body size and head circumference, fasting glucose, and triglycerides in adults (P

Published
2021
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8. GWAS identifies population-specific new regulatory variants in FUT6 associated with plasma B12 concentrations in Indians

Author

Sirazul A. Sahariah, Suraj S. Nongmaithem, Caroline H.D. Fall, Swetha Ramachandran, Giriraj R. Chandak, Harsha Chopra, Meera Gandhi, Ghattu V. Krishnaveni, Chittaranjan S. Yajnik, Anand Pandit, Meraj Ahmad, C. V. Joglekar, and Ramesh D. Potdar

Subjects
Adult, Male, 0301 basic medicine, Linkage disequilibrium, India, 030209 endocrinology & metabolism, Genome-wide association study, Single-nucleotide polymorphism, Biology, 01 natural sciences, Polymorphism, Single Nucleotide, Linkage Disequilibrium, White People, 03 medical and health sciences, 0302 clinical medicine, Asian People, Gene Frequency, Genetics, Humans, Vitamin B12, 0101 mathematics, Allele, Enhancer, Child, Promoter Regions, Genetic, Allele frequency, Molecular Biology, Fucosylation, Alleles, Genetics (clinical), 2. Zero hunger, Association Studies Articles, General Medicine, Middle Aged, Fucosyltransferases, 3. Good health, 010101 applied mathematics, Vitamin B 12, Genetics, Population, 030104 developmental biology, Child, Preschool, 030220 oncology & carcinogenesis, Female, Erratum, Genome-Wide Association Study
Abstract

Vitamin B12 is an important cofactor in one-carbon metabolism whose dysregulation is associated with various clinical conditions. Indians have a high prevalence of B12 deficiency but little is known about the genetic determinants of circulating B12 concentrations in Indians. We performed a genome-wide association study in 1001 healthy participants in the Pune Maternal Nutrition Study (PMNS), replication studies in 3418 individuals from other Indian cohorts and by meta-analysis identified new variants, rs3760775 (P = 1.2 × 10−23) and rs78060698 (P = 8.3 × 10−17) in FUT6 to be associated with circulating B12 concentrations. Although in-silico analysis replicated both variants in Europeans, differences in the effect allele frequency, effect size and the linkage disequilibrium structure of credible set variants with the reported variants suggest population-specific characteristics in this region. We replicated previously reported variants rs602662, rs601338 in FUT2, rs3760776, rs708686 in FUT6, rs34324219 in TCN1 (all P

Published
2017
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9. Intrauterine Programming of Diabetes and Adiposity

Author

Ashutosh Singh Tomar, Chittaranjan S. Yajnik, Giriraj R. Chandak, Suraj S. Nongmaithem, Smeeta Shrestha, and Divya Sri Priyanka Tallapragada

Subjects
medicine.medical_specialty, Pathology, Disease, Epigenesis, Genetic, Fetal Development, Missing heritability problem, Environmental health, Diabetes mellitus, Epidemiology, Mendelian randomization, Prevalence, medicine, Humans, Genetic Predisposition to Disease, Obesity, Adiposity, business.industry, Maternal Nutritional Physiological Phenomena, General Medicine, Heritability, medicine.disease, Diabetes Mellitus, Type 1, Diabetes Mellitus, Type 2, Female, Disease prevention, Animal studies, Insulin Resistance, business
Abstract

The prevalence of diabetes and adiposity has increased at an alarming rate and together they contribute to the rise in morbidity and mortality worldwide. Genetic studies till date have succeeded in explaining only a proportion of heritability, while a major component remains unexplained. Early life determinants of future risk of these diseases are likely contributors to the missing heritability and thus have a significant potential in disease prevention. Epidemiological and animal studies show the importance of intrauterine and early postnatal environment in programming of the fetus to adverse metabolic outcomes and support the notion of Developmental Origins of Health and Disease (DOHaD). Emerging evidence highlights the role of epigenetic mechanisms in mediating effects of environmental exposures, which in certain instances may exhibit intergenerational transmission even in the absence of exposure. In this article, we will discuss the complexity of diabetes and increased adiposity and mechanisms of programming of these adverse metabolic conditions.

Published
2015
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10. Lack of replication of association of THSD7A with obesity

Author

Giriraj R. Chandak, C. S. Yajnik, Caroline H.D. Fall, Suraj S. Nongmaithem, Ghattu V. Krishnaveni, and Meraj Ahmad

Subjects
DNA Replication, medicine.medical_specialty, Nutrition and Dietetics, business.industry, Endocrinology, Diabetes and Metabolism, Association (object-oriented programming), Medicine (miscellaneous), 030209 endocrinology & metabolism, medicine.disease, Polymorphism, Single Nucleotide, Obesity, 03 medical and health sciences, 0302 clinical medicine, Endocrinology, 030220 oncology & carcinogenesis, Internal medicine, Replication (statistics), Humans, Medicine, medicine.symptom, business, Body mass index, Weight gain
Published
2016
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11. Whole-exome sequencing identifies rare genetic variants associated with human plasma metabolites.

Author

Bomba L, Walter K, Guo Q, Surendran P, Kundu K, Nongmaithem S, Karim MA, Stewart ID, Langenberg C, Danesh J, Di Angelantonio E, Roberts DJ, Ouwehand WH, Dunham I, Butterworth AS, and Soranzo N

Subjects
Gene Frequency genetics, Humans, Prospective Studies, Exome Sequencing methods, Whole Genome Sequencing, Exome genetics
Abstract

Metabolite levels measured in the human population are endophenotypes for biological processes. We combined sequencing data for 3,924 (whole-exome sequencing, WES, discovery) and 2,805 (whole-genome sequencing, WGS, replication) donors from a prospective cohort of blood donors in England. We used multiple approaches to select and aggregate rare genetic variants (minor allele frequency [MAF] < 0.1%) in protein-coding regions and tested their associations with 995 metabolites measured in plasma by using ultra-high-performance liquid chromatography-tandem mass spectrometry. We identified 40 novel associations implicating rare coding variants (27 genes and 38 metabolites), of which 28 (15 genes and 28 metabolites) were replicated. We developed algorithms to prioritize putative driver variants at each locus and used mediation and Mendelian randomization analyses to test directionality at associations of metabolite and protein levels at the ACY1 locus. Overall, 66% of reported associations implicate gene targets of approved drugs or bioactive drug-like compounds, contributing to drug targets' validating efforts., Competing Interests: Declaration of interests John Danesh reports grants, personal fees, and non-financial support from Merck Sharp & Dohme (MSD); grants, personal fees, and non-financial support from Novartis; grants from Pfizer; and grants from AstraZeneca outside the submitted work. John Danesh sits on the International Cardiovascular and Metabolic Advisory Board for Novartis (since 2010); the Steering Committee of UK Biobank (since 2011); the MRC International Advisory Group (ING) member, London (since 2013); the MRC High Throughput Science ‘Omics Panel Member, London (since 2013); the Scientific Advisory Committee for Sanofi (since 2013); the International Cardiovascular and Metabolism Research and Development Portfolio Committee for Novartis; and the AstraZeneca Genomics Advisory Board (2018). Adam Butterworth reports institutional grants from AstraZeneca, Bayer, Biogen, BioMarin, Bioverativ, Merk and Sanofi. During the course of the project Praveen Surendran became an employee of GSK, Lorenzo Bomba became an employee of BioMarin, Mohd Karim became an employee of Variant Bio and Qi Guo became an employee of BenevolentAI., (Copyright © 2022 The Authors. Published by Elsevier Inc. All rights reserved.)

Published
2022
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12. Whole-genome sequencing in diverse subjects identifies genetic correlates of leukocyte traits: The NHLBI TOPMed program.

Author

Mikhaylova AV, McHugh CP, Polfus LM, Raffield LM, Boorgula MP, Blackwell TW, Brody JA, Broome J, Chami N, Chen MH, Conomos MP, Cox C, Curran JE, Daya M, Ekunwe L, Glahn DC, Heard-Costa N, Highland HM, Hobbs BD, Ilboudo Y, Jain D, Lange LA, Miller-Fleming TW, Min N, Moon JY, Preuss MH, Rosen J, Ryan K, Smith AV, Sun Q, Surendran P, de Vries PS, Walter K, Wang Z, Wheeler M, Yanek LR, Zhong X, Abecasis GR, Almasy L, Barnes KC, Beaty TH, Becker LC, Blangero J, Boerwinkle E, Butterworth AS, Chavan S, Cho MH, Choquet H, Correa A, Cox N, DeMeo DL, Faraday N, Fornage M, Gerszten RE, Hou L, Johnson AD, Jorgenson E, Kaplan R, Kooperberg C, Kundu K, Laurie CA, Lettre G, Lewis JP, Li B, Li Y, Lloyd-Jones DM, Loos RJF, Manichaikul A, Meyers DA, Mitchell BD, Morrison AC, Ngo D, Nickerson DA, Nongmaithem S, North KE, O'Connell JR, Ortega VE, Pankratz N, Perry JA, Psaty BM, Rich SS, Soranzo N, Rotter JI, Silverman EK, Smith NL, Tang H, Tracy RP, Thornton TA, Vasan RS, Zein J, Mathias RA, Reiner AP, and Auer PL

Subjects
Asthma genetics, Asthma metabolism, Asthma pathology, Dermatitis, Atopic genetics, Dermatitis, Atopic metabolism, Dermatitis, Atopic pathology, Genetic Predisposition to Disease, Genome, Human, Genome-Wide Association Study, Humans, National Heart, Lung, and Blood Institute (U.S.), Phenotype, Prognosis, Proteome analysis, Proteome metabolism, Pulmonary Disease, Chronic Obstructive genetics, Pulmonary Disease, Chronic Obstructive metabolism, Pulmonary Disease, Chronic Obstructive pathology, United Kingdom epidemiology, United States epidemiology, Whole Genome Sequencing, Asthma epidemiology, Biomarkers metabolism, Dermatitis, Atopic epidemiology, Leukocytes pathology, Polymorphism, Single Nucleotide, Pulmonary Disease, Chronic Obstructive epidemiology, Quantitative Trait Loci
Abstract

Many common and rare variants associated with hematologic traits have been discovered through imputation on large-scale reference panels. However, the majority of genome-wide association studies (GWASs) have been conducted in Europeans, and determining causal variants has proved challenging. We performed a GWAS of total leukocyte, neutrophil, lymphocyte, monocyte, eosinophil, and basophil counts generated from 109,563,748 variants in the autosomes and the X chromosome in the Trans-Omics for Precision Medicine (TOPMed) program, which included data from 61,802 individuals of diverse ancestry. We discovered and replicated 7 leukocyte trait associations, including (1) the association between a chromosome X, pseudo-autosomal region (PAR), noncoding variant located between cytokine receptor genes (CSF2RA and CLRF2) and lower eosinophil count; and (2) associations between single variants found predominantly among African Americans at the S1PR3 (9q22.1) and HBB (11p15.4) loci and monocyte and lymphocyte counts, respectively. We further provide evidence indicating that the newly discovered eosinophil-lowering chromosome X PAR variant might be associated with reduced susceptibility to common allergic diseases such as atopic dermatitis and asthma. Additionally, we found a burden of very rare FLT3 (13q12.2) variants associated with monocyte counts. Together, these results emphasize the utility of whole-genome sequencing in diverse samples in identifying associations missed by European-ancestry-driven GWASs., Competing Interests: Declaration of interests The authors declare no competing interests., (Copyright © 2021 American Society of Human Genetics. All rights reserved.)

Published
2021
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