Plasma lipidomics profile in pregnancy and gestational diabetes risk: a prospective study in a multiracial/ethnic cohort

Autor: Yeyi Zhu, Cuilin Zhang, Paul S Albert, Mohammad L Rahman, Fasil Tekola-Ayele, Michael Y Tsai, Xiaobin Wang, Yen-Chen A Feng, Oliver Fiehn, Liming Liang

Publikováno v: BMJ Open Diabetes Research & Care, Vol 9, Iss 1 (2021)

Introduction Disruption of lipid metabolism is implicated in gestational diabetes (GDM). However, prospective studies on lipidomics and GDM risk in race/ethnically diverse populations are sparse. Here, we aimed to (1) identify lipid networks in early

Externí odkaz: https://doaj.org/article/0e1deca2e5c7467db7364167db9eb6e6

Psychiatric manifestations of rare variation in medically actionable genes: a PheWAS approach

Autor: Yen-Chen A. Feng, Ian B. Stanaway, John J. Connolly, Joshua C. Denny, Yuan Luo, Chunhua Weng, Wei-Qi Wei, Scott T. Weiss, Elizabeth W. Karlson, Jordan W. Smoller

Publikováno v: BMC Genomics, Vol 23, Iss 1, Pp 1-12 (2022)

Abstract Background As genomic sequencing moves closer to clinical implementation, there has been an increasing acceptance of returning incidental findings to research participants and patients for mutations in highly penetrant, medically actionable

Externí odkaz: https://doaj.org/article/1d172a6eb2b243b18252e93e437d1df3

The role of common genetic variation in presumed monogenic epilepsies

Autor: Ciarán Campbell, Costin Leu, Yen-Chen Anne Feng, Stefan Wolking, Claudia Moreau, Colin Ellis, Shiva Ganesan, Helena Martins, Karen Oliver, Isabelle Boothman, Katherine Benson, Anne Molloy, Lawrence Brody, Jacques L. Michaud, Fadi F. Hamdan, Berge A. Minassian, Holger Lerche, Ingrid E. Scheffer, Sanjay Sisodiya, Simon Girard, Patrick Cosette, Norman Delanty, Dennis Lal, Gianpiero L. Cavalleri

Publikováno v: EBioMedicine, Vol 81, Iss , Pp 104098- (2022)

Summary: Background: The developmental and epileptic encephalopathies (DEEs) are the most severe group of epilepsies which co-present with developmental delay and intellectual disability (ID). DEEs usually occur in people without a family history of

Externí odkaz: https://doaj.org/article/533a6eda95d24053b4f85652d7d21d32

Impact of selection bias on polygenic risk score estimates in healthcare settings

Autor: Younga Heather Lee, Tanayott Thaweethai, Yi-han Sheu, Yen-Chen Anne Feng, Elizabeth W. Karlson, Tian Ge, Peter Kraft, Jordan W. Smoller

Publikováno v: Psychological Medicine. :1-11

Background Hospital-based biobanks are being increasingly considered as a resource for translating polygenic risk scores (PRS) into clinical practice. However, since these biobanks originate from patient populations, there is a possibility of bias in

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::855d21870b082b6f7f2fe537868ccd97
https://doi.org/10.1017/s0033291723001186

Meta-analysis fine-mapping is often miscalibrated at single-variant resolution

Autor: Masahiro Kanai, Roy Elzur, Wei Zhou, Mark J. Daly, Hilary K. Finucane, Kuan-Han H. Wu, Humaira Rasheed, Kristin Tsuo, Jibril B. Hirbo, Ying Wang, Arjun Bhattacharya, Huiling Zhao, Shinichi Namba, Ida Surakka, Brooke N. Wolford, Valeria Lo Faro, Esteban A. Lopera-Maya, Kristi Läll, Marie-Julie Favé, Juulia J. Partanen, Sinéad B. Chapman, Juha Karjalainen, Mitja Kurki, Mutaamba Maasha, Ben M. Brumpton, Sameer Chavan, Tzu-Ting Chen, Michelle Daya, Yi Ding, Yen-Chen A. Feng, Lindsay A. Guare, Christopher R. Gignoux, Sarah E. Graham, Whitney E. Hornsby, Nathan Ingold, Said I. Ismail, Ruth Johnson, Triin Laisk, Kuang Lin, Jun Lv, Iona Y. Millwood, Sonia Moreno-Grau, Kisung Nam, Priit Palta, Anita Pandit, Michael H. Preuss, Chadi Saad, Shefali Setia-Verma, Unnur Thorsteinsdottir, Jasmina Uzunovic, Anurag Verma, Matthew Zawistowski, Xue Zhong, Nahla Afifi, Kawthar M. Al-Dabhani, Asma Al Thani, Yuki Bradford, Archie Campbell, Kristy Crooks, Geertruida H. de Bock, Scott M. Damrauer, Nicholas J. Douville, Sarah Finer, Lars G. Fritsche, Eleni Fthenou, Gilberto Gonzalez-Arroyo, Christopher J. Griffiths, Yu Guo, Karen A. Hunt, Alexander Ioannidis, Nomdo M. Jansonius, Takahiro Konuma, Ming Ta Michael Lee, Arturo Lopez-Pineda, Yuta Matsuda, Riccardo E. Marioni, Babak Moatamed, Marco A. Nava-Aguilar, Kensuke Numakura, Snehal Patil, Nicholas Rafaels, Anne Richmond, Agustin Rojas-Muñoz, Jonathan A. Shortt, Peter Straub, Ran Tao, Brett Vanderwerff, Manvi Vernekar, Yogasudha Veturi, Kathleen C. Barnes, Marike Boezen, Zhengming Chen, Chia-Yen Chen, Judy Cho, George Davey Smith, Lude Franke, Eric R. Gamazon, Andrea Ganna, Tom R. Gaunt, Tian Ge, Hailiang Huang, Jennifer Huffman, Nicholas Katsanis, Jukka T. Koskela, Clara Lajonchere, Matthew H. Law, Liming Li, Cecilia M. Lindgren, Ruth J.F. Loos, Stuart MacGregor, Koichi Matsuda, Catherine M. Olsen, David J. Porteous, Jordan A. Shavit, Harold Snieder, Tomohiro Takano, Richard C. Trembath, Judith M. Vonk, David C. Whiteman, Stephen J. Wicks, Cisca Wijmenga, John Wright, Jie Zheng, Xiang Zhou, Philip Awadalla, Michael Boehnke, Carlos D. Bustamante, Nancy J. Cox, Segun Fatumo, Daniel H. Geschwind, Caroline Hayward, Kristian Hveem, Eimear E. Kenny, Seunggeun Lee, Yen-Feng Lin, Hamdi Mbarek, Reedik Mägi, Hilary C. Martin, Sarah E. Medland, Yukinori Okada, Aarno V. Palotie, Bogdan Pasaniuc, Daniel J. Rader, Marylyn D. Ritchie, Serena Sanna, Jordan W. Smoller, Kari Stefansson, David A. van Heel, Robin G. Walters, Sebastian Zöllner, null Biobank of the Americas, null Biobank Japan Project, null BioMe, null BioVU, null CanPath - Ontario Health Study, null China Kadoorie Biobank Collaborative Group, null Colorado Center for Personalized Medicine, null deCODE Genetics, null Estonian Biobank, FinnGen, null Generation Scotland, null Genes & Health Research Team, null LifeLines, null Mass General Brigham Biobank, null Michigan Genomics Initiative, null National Biobank of Korea, null Penn Medicine BioBank, null Qatar Biobank, null The Qskin Sun and Health Study, null Taiwan Biobank, null The Hunt Study, null Ucla Atlas Community Health Initiative, null Uganda Genome Resource, null Uk Biobank, Alicia R. Martin, Cristen J. Willer, Benjamin M. Neale

Funding Information: We acknowledge all the participants and researchers of the 23 biobanks that have contributed to the GBMI. Biobank-specific acknowledgments are included in the Data S3 . We thank H. Huang, A.R. Martin, B.M. Neale, Y. Okada, K. Tsu

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::26876d7b7cfd7d51f3112e7e7afb5a3a
http://hdl.handle.net/10138/355361