Results 261 to 270 of about 67,612 (348)

Joint relative risks for estrogen receptor-positive breast cancer from a clinical model, polygenic risk score, and sex hormones

, 2017
Yiwey Shieh, Donglei Hu, Lin Ma, Scott Huntsman, Charlotte C. Gard, Jessica W. T. Leung, Jeffrey A. Tice, Elad Ziv, Karla Kerlikowske, Steven R. Cummings   +9 more
openalex   +2 more sources

Insight from polygenic modifiers in Asian monogenic diabetes

Journal of Diabetes Investigation, EarlyView.
A Proposed Translation Roadmap for Asia Diabetes Individuals.
Pei‐Ying Kao, Wayne Huey Herng Sheu
wiley   +1 more source

STREAM-PRS: a multi-tool pipeline for streamlining polygenic risk score computation. [PDF]

Genome Med
Becelaere S, Abakkouy Y, Jans DS, David M, Vermeire S, Cleynen I.   +5 more
europepmc   +1 more source

Data from Evaluation of Multiple Breast Cancer Polygenic Risk Score Panels in Women of Latin American Heritage

Xiaosong Huang, Paul C. Lott, Donglei Hu, Valentina A. Zavala, Zoeb N. Jamal, Tatiana Vidaurre, Sandro Casavilca‐Zambrano, Jeannie Navarro Vásquez, Carlos A. Castañeda, Guillermo Valencia, Zaida Morante, Mónica Calderón, Julio E. Abugattas, Hugo Fuentes, Ruddy Liendo-Picoaga, José M. Cotrina, Silvia P. Neciosup, Patricia Rioja, Luis A. Salinas, Marco Gálvez-Niño, Scott Huntsman, Sixto E. Sánchez, Michelle A. Williams, Bizu Gelaye, Ana P. Estrada-Florez, Guadalupe Polanco‐Echeverry, Magdalena Echeverry, Alejandro Vélez Hoyos, Jenny A. Carmona-Valencia, Mábel Bohórquez, Javier Torres, Miguel Cruz, Weang-Kee Ho, Soo‐Hwang Teo, Mei-Chee Tai, Esther M. John, Christopher A. Haiman, David V. Conti, Fei Chen, Gabriela Torres-Mejı́a, Lawrence H. Kushi, Susan L. Neuhausen, Elad Ziv, Luis G. Carvajal‐Carmona, Laura Fejerman   +44 more
openalex   +1 more source

Data‐driven cluster analysis of adults with prediabetes: Findings from the Japan diabetes prevention study

Journal of Diabetes Investigation, EarlyView.
Unsupervised clustering of 295 Japanese adults with impaired glucose tolerance identified three distinct prediabetes subtypes based on HbA1c, HOMA‐β, HOMA‐IR, and HDL‐cholesterol. These subtypes showed different risks of developing type 2 diabetes and varied responses to lifestyle intervention over 6 years.
Naoki Sakane, Kaoru Takahashi, Akiko Suganuma, Masayuki Domichi, Kazuyo Tsushita, Hideshi Kuzuya   +5 more
wiley   +1 more source

Polygenic risk score from steroid-sensitive nephrotic syndrome GWAS indicates overlapping genetic basis with steroid-resistant cases. [PDF]

Sci Rep
Wang C, Yin G, Zhou Y, Song Y, Tian M, Wang X, Wang J, Li Q, Zang R, Yang Z, Yu L, Liu S, Wang L, Yao X, Zhou A, Chang X, Sun S.   +16 more
europepmc   +1 more source

Supplemental Table 4 from Breast Cancer Polygenic Risk Score Associated with Outcomes after <i>In Situ</i> Breast Disease

Jasmine Timbres, Kelly Kohut, Nasim Mavaddat, Douglas F. Easton, Christos Petridis, Rebecca Roylance, Marjanka K. Schmidt, Elinor J. Sawyer   +7 more
openalex   +1 more source

Machine Learning-Based Prediction of Gout Using Polygenic Risk Scores and Clinical Variables: A Korean Cohort Study [PDF]

Do-Hyeon Kwak, Hyunjung Kim, Heewon Park, Sun Shim Choi, Ki Won Moon   +4 more
openalex   +1 more source

Polygenic risk score refines cardiovascular disease risk in individuals with type 2 diabetes at borderline or intermediate risk

Journal of Diabetes Investigation, EarlyView.
ABSTRACT To evaluate whether a coronary artery disease (CAD) polygenic risk score (PRS) can improve atherosclerotic cardiovascular disease (ASCVD) risk stratification in individuals with type 2 diabetes (T2D), particularly those at borderline or intermediate 10‐year risk.
Jaewon Choi, Hyunsuk Lee, Tae‐Min Rhee, Jun‐Bean Park, Soo Heon Kwak   +4 more
wiley   +1 more source

Bony fish genomes: Status and gaps

Journal of Fish Biology, EarlyView.
Abstract Bony fish constitute an exceptionally species‐rich group of aquatic vertebrates, comprising more than 95% of all living fish. The adaptive processes on the diversity of environments they inhabit make them a highly diverse group from taxonomic, morphological and evolutionary standpoints.
Noelia Pérez‐Pereira, Carmen Bouza, Paulino Martínez, Diego Robledo   +3 more
wiley   +1 more source