Results 101 to 110 of about 8,823,949 (205)

Associations between serum amino acids and genetic liability to depression in the LURIC cohort

BMC Psychiatry
Aims Blood concentrations of amino acids have been associated with depression, although findings have been inconsistent. We investigated associations between serum amino acid concentrations and genetic liability to depression, assessed by two genetic ...
Robert M. Krämer, Graciela E. Delgado, Marcus E. Kleber, Daniel Duerschmied, Winfried März, Angela Patricia Moissl-Blanke   +5 more
doaj   +1 more source

Genetic predisposition to elevated levels of C-reactive protein is associated with a decreased risk for preeclampsia

Hypertension in Pregnancy, 2017
Objective: To examine the association between genetic predisposition to elevated C-reactive protein (CRP)and risk for preeclampsia using validated genetic loci for C-reactive protein.
Cassandra N. Spracklen, Caitlin J. Smith, Audrey F. Saftlas, Elizabeth W. Triche, Andrew Bjonnes, Brendan J. Keating, Richa Saxena, Patrick J. Breheny, Andrew T. Dewan, Jennifer G. Robinson, Josephine Hoh, Kelli K. Ryckman   +11 more
doaj   +1 more source

Obesity genetic risk score

, 2020
Tese de mestrado em Bioestatística, Universidade de Lisboa, Faculdade de Ciências ...
openaire   +1 more source

Genetic risk score and the risk of TPOAb-positivity.

, 2014
GRS, genetic risk score (based on rs11675434, rs653178, rs10944479, rs1230666, rs2010099).aAdjusted for age and ...
J. Brent Richards (144368), Matthias Nauck (112743), Hans Jörgen Grabe (448961), Silvia Naitza (186150), Eero Kajantie (178523), Johannes W. A. Smit (106712), Marco Medici (280307), Alan James (528475), Sita H. Vermeulen (160844), Christa Meisinger (39940), Dörte Radke (64204), Alessandro Delitala (528471), Henri Wallaschofski (112750), Jari Lahti (149903), Timothy M. Frayling (145700), Cinzia Sala (74631), Theo J. Visser (280338), Nicole Soranzo (12361), Alexander Teumer (112757), Nicola Pirastu (149842), Henriette Meyer zu Schwabedissen (528483), John P. Beilby (418999), Tim I. M. Korevaar (528462), Layal Chaker (528461), Timothy D. Spector (110281), Theo S. Plantinga (164719), Eric Wichmann (528481), Elisabeth Widen (75580), Suzanne J. Brown (280313), Martin den Heijer (24963), Uwe Völker (112748), Richard A. Jensen (103656), Jayne A. Franklyn (236549), David Schlessinger (2399), Maria Grazia Plia (528463), Rachel M. Freathy (280311), Betina Thuesen (418891), Alexander Kluttig (390145), Tim de Meyer (5658181), Jennie Hui (220409), Youri E. Taes (528465), John P. Walsh (280331), Scott G. Wilson (153279), Sandya Liyanarachchi (2555), Andrew T. Hattersley (146736), Fred C. Sweep (528464), Greet L. Roef (528459), Diana Pietzner (528460), Christin Spielhagen (528469), Tessel E. Galesloot (171815), Ee M. Lim (280318), Goncalo Abecasis (3159045), Eleonora Porcu (186153), Ernst E. Rietzschel (528476), Jean-Marc Kaufman (130167), Wei Li (7081), Beverley M. Shields (146725), Till Ittermann (528482), Daniel Tiller (390141), Peter C. O'Leary (528480), Georg Homuth (110202), Emanuele Bosi (249834), Rajesh Rawal (528458), Monia Lobina (528467), Aarno Palotie (41342), Daniela Toniolo (74637), Serena Sanna (145737), Katharina Schramm (528479), Matteo Vocale (528474), Christian Gieger (87555), Henry Völzke (64286), Peter J. Leedman (125661), Tom Forsen (280315), Jürgen Kratzsch (162369), Stefano Mariotti (280319), Alec Ross (528470), Johan G. Eriksson (150122), Anne Cappola (528484), Michela Traglia (123821), Katri Räikkönen (149957), Lise Lotte N. Husemoen (244333), André G. Uitterlinden (2213413), Gabriela L. Surdulescu (213616), Albert Hofman (107303), Matthew J. Simmonds (211190), Massimiliano Cocca (528468), Jerome I. Rotter (103729), Lambertus A. Kiemeney (160926), Rebecca Nagy (412443), Romana T. Netea-Maier (280320), Martijn van de Bunt (166776), Robin P. Peeters (280339), Alice Arnold (280312), David I. W. Philips (528473), Antonella Mulas (145739), Huiling He (58240), Bijay Vaidya (280337), Bruce M. Psaty (103721), Ad R. Hermus (280317), Peter Feddema (528477), Giorgio Pistis (123842), Margit Heier (200535), Holger Prokisch (26590), Stephen C. L. Gough (236551), Alexander Hamilton (528466), Alexandra P. Bremner (528472), Linda Broer (183140), Yurii S. Aulchenko (148330), W. Edward Visser (280330), Torben Jørgensen (154033), Allan Linneberg (139773), Sandra Lai (186168), Tanguy Corre (149851), Stephen J. Fletcher (528478), Albert de la Chapelle (164508), Fernando Rivadeneira (61551), Corrado Masciullo (123834), Eva Reischl (449469)   +117 more
core   +1 more source

Genetic correlations among somatic cell scores, productive life, and type traits from the United States and udder health measures from Denmark and Sweden [PDF]

, 1998
Sire genetic evaluations for protein yield, somatic cell score (SCS), productive life, and udder type traits from the US were correlated with sire evaluations for udder health from Denmark and Sweden and then the correlations were adjusted for accuracies
Banos, G, Philipsson, J, Rogers, GW, Nielsen, US   +3 more
core   +1 more source

Additional file 1: of Genetic risk score and risk of stage 3 chronic kidney disease

, 2017
Characteristics of SNPs included in the genetic risk score. The supplemental table provides characteristics of the 53 SNPs included in the genetic risk score.
Jiantao Ma (3682759), Shih-Jen Hwang (79945), Caroline Fox (202065), Audrey Chu (3503069), Qiong Yang (28822)   +4 more
core   +1 more source

Adjusting the frequency of mammography screening on the basis of genetic risk: Attitudes among women in the UK. [PDF]

, 2015
Purpose To explore public attitudes towards modifying frequency of mammography screening based on genetic risk. Methods Home-based interviews were carried out with a population-based sample of 942 women aged 18–74 years in the UK.
Side, L, Lanceley, Anne, Rahman, B, Side, Lucy, Gessler, S, Gessler, Sue, Fraser, Lindsay, Pashayan, N, Meisel, Susanne F., Meisel, SF, Rahman, Belinda, Wardle, Jane, Fraser, L, Lanceley, A, Pashayan, Nora, Wardle, J   +15 more
core   +1 more source

Genetic risk and value

, 2018
A conceptual truth about risks is that they involve a possible and future adverse effect or a negative value of some kind. The genetic risks that individuals may face in the health care setting differ in some crucial respects to other kind of risks.
Kihlbom, Ulrik,
core   +1 more source

The Interaction Between Body Mass Index Genetic Risk Score and Dietary Intake on Weight Status: A Systematic Review

Sara Sokary,1 Heba Almaghrbi,2 Hiba Bawadi1 1Department of Human Nutrition, College of Health Sciences, QU Health, Qatar University, Doha, Qatar; 2Department of Biomedical Science, College of Health Sciences, QU Health, Qatar University, Doha ...
Almaghrbi H, Sokary S, Bawadi H
core  

Admixture-informed polygenic risk reporting using the ePRS framework

Nature Communications
Polygenic risk score values vary with genetic ancestry due to differences in population-specific allele frequencies and linkage disequilibrium patterns. We present a framework to calibrate polygenic risk scores based on ancestral makeup.
Yu-Jyun Huang, Nuzulul Kurniansyah, Matthew O. Goodman, Brian W. Spitzer, Jiongming Wang, Adrienne Stilp, Cecelia Laurie, Paul S. de Vries, Han Chen, Yuan-I Min, Mario Sims, Gina M. Peloso, Xiuqing Guo, Joshua C. Bis, Jennifer A. Brody, Laura M. Raffield, Jennifer A. Smith, Wei Zhao, Jerome I. Rotter, Stephen S. Rich, Susan Redline, Myriam Fornage, Robert Kaplan, Nora Franceschini, Daniel Levy, Alanna C. Morrison, Eric Boerwinkle, Nicholas L. Smith, Charles Kooperberg, Bruce M. Psaty, Sebastian Zöllner, the Trans-Omics for Precision Medicine Consortium, Tamar Sofer   +32 more
doaj   +1 more source