Results 11 to 20 of about 7,495,262 (331)

Genetic correlations between pain phenotypes and depression and neuroticism [PDF]

European Journal of Human Genetics, 2020
Correlations between pain phenotypes and psychiatric traits such as depression and the personality trait of neuroticism are not fully understood. In this study, we estimated the genetic correlations of eight pain phenotypes (defined by the UK Biobank, n =
Adams, Mark J., Deary, Ian J., Huang, Yu, McIntosh, Andrew M., Meng, Weihua, Palmer, Colin N. A., Rajendrakumar, Aravind, Reel, Parminder, Smith, Blair H.   +8 more
core   +6 more sources

Detecting Local Genetic Correlations with Scan Statistics [PDF]

Nature Communications, 2019
AbstractGenetic correlation analysis has quickly gained popularity in the past few years and provided insights into the genetic etiology of numerous complex diseases. However, existing approaches oversimplify the shared genetic architecture between different phenotypes and cannot effectively identify precise genetic regions contributing to the genetic ...
Guo, Hanmin, Li, James J., Lu, Qiongshi, Hou, Lin   +3 more
openaire   +4 more sources

Genetic correlations between Alzheimer's disease and gut microbiome genera. [PDF]

Sci Rep, 2023
A growing body of evidence suggests that dysbiosis of the human gut microbiota is associated with neurodegenerative diseases like Alzheimer’s disease (AD) via neuroinflammatory processes across the microbiota-gut-brain axis.
Cammann D, Lu Y, Cummings MJ, Zhang ML, Cue JM, Do J, Ebersole J, Chen X, Oh EC, Cummings JL, Chen J.   +10 more
europepmc   +2 more sources

Large-scale GWAS of food liking reveals genetic determinants and genetic correlations with distinct neurophysiological traits

Nature Communications, 2022
We present the results of a GWAS of food liking conducted on 161,625 participants from the UK-Biobank. Liking was assessed over 139 specific foods using a 9-point scale.
S. May-Wilson, N. Matoba, K. Wade, J. Hottenga, M. P. Concas, M. Mangino, Eryk J. Grzeszkowiak, C. Menni, P. Gasparini, N. Timpson, M. Veldhuizen, Eco de Geus, James F. Wilson, N. Pirastu   +13 more
semanticscholar   +1 more source

Genetic Influences on the Covariance and Genetic Correlations in a Bivariate Twin Model: An Application to Well-Being

Behavior Genetics, 2021
The distinction between genetic influences on the covariance (or bivariate heritability) and genetic correlations in bivariate twin models is often not well-understood or only one is reported while the results show distinctive information about the ...
L.P. de Vries, T. V. van Beijsterveldt, H. Maes, L. Colodro-Conde, M. Bartels   +4 more
semanticscholar   +1 more source

Effects of temperature and dietary nitrogen on genetic variation and covariation in gypsy moth larval performance traits [PDF]

Archives of Biological Sciences, 2012
To assess the plastic and genetic components of variation in responses of gypsy moth (Lymantria dispar) 4th instar larvae to temperature and food quality, we applied a split-family four-environment experimental design where full-sibs were reared on ...
Janković-Tomanić Milena, Lazarević Jelica   +1 more
doaj   +1 more source

The 55K SNP-Based Exploration of QTLs for Spikelet Number Per Spike in a Tetraploid Wheat (Triticum turgidum L.) Population: Chinese Landrace “Ailanmai” × Wild Emmer

Frontiers in Plant Science, 2021
Spikelet number per spike (SNS) is the primary factor that determines wheat yield. Common wheat breeding reduces the genetic diversity among elite germplasm resources, leading to a detrimental effect on future wheat production.
Ziqiang Mo, Jing Zhu, Jiatai Wei, Jieguang Zhou, Qiang Xu, Huaping Tang, Yang Mu, Mei Deng, Qiantao Jiang, Yaxi Liu, Guoyue Chen, Jirui Wang, Pengfei Qi, Wei Li, Yuming Wei, Youliang Zheng, Xiujin Lan, Jian Ma   +17 more
doaj   +1 more source

Genetic correlations and genome-wide associations of cortical structure in general population samples of 22,824 adults

Nature Communications, 2020
Cortical thickness, surface area and volumes vary with age and cognitive function, and in neurological and psychiatric diseases. Here we report heritability, genetic correlations and genome-wide associations of these cortical measures across the whole ...
E. Hofer, Gennady V. Roshchupkin, H. Adams, M. Knol, Honghuang Lin, Shuo Li, Habil Zare, S. Ahmad, N. Armstrong, C. Satizabal, M. Bernard, J. Bis, N. Gillespie, M. Luciano, A. Mishra, M. Scholz, A. Teumer, Rui Xia, X. Jian, T. Mosley, Y. Saba, L. Pirpamer, S. Seiler, J. Becker, Owen Carmichael, J. Rotter, B. Psaty, O. Lopez, N. Amin, S. J. van der Lee, Qiong Yang, Jayanadra J Himali, P. Maillard, A. Beiser, C. DeCarli, S. Karama, L. Lewis, Mat Harris, M. Bastin, I. Deary, A. Veronica Witte, F. Beyer, M. Loeffler, K. Mather, P. Schofield, A. Thalamuthu, J. Kwok, M. Wright, D. Ames, J. Trollor, Jiyang Jiang, H. Brodaty, W. Wen, M. Vernooij, A. Hofman, A. Uitterlinden, W. Niessen, K. Wittfeld, R. Bülow, U. Völker, Z. Pausova, G. Bruce Pike, Sophie Maingault, F. Crivello, C. Tzourio, P. Amouyel, B. Mazoyer, M. Neale, C. Franz, M. Lyons, M. Panizzon, O. Andreassen, A. Dale, Mark A Logue, K. Grasby, N. Jahanshad, J. Painter, L. Colodro-Conde, J. Bralten, D. Hibar, P. Lind, F. Pizzagalli, J. Stein, P. Thompson, S. Medland, P. Sachdev, W. Kremen, J. Wardlaw, A. Villringer, C. V. van Duijn, H. Grabe, W. Longstreth, M. Fornage, T. Paus, S. Debette, M. Arfan Ikram, H. Schmidt, R. Schmidt, S. Seshadri   +98 more
semanticscholar   +1 more source

An Atlas of Genetic Correlations across Human Diseases and Traits

Nature Genetics, 2015
Identifying genetic correlations between complex traits and diseases can provide useful etiological insights and help prioritize likely causal relationships.
B. Bulik-Sullivan, H. Finucane, V. Anttila, A. Gusev, F. Day, Po-Ru Loh, L. Duncan, J. Perry, N. Patterson, E. Robinson, M. Daly, A. Price, B. Neale   +12 more
semanticscholar   +1 more source

Genetic correlations among protein yield, productive life, and type traits from the United States and diseases other than mastitis from Denmark and Sweden [PDF]

, 1999
Sire genetic evaluations for protein yield, productive life, and selected type traits from the US were correlated with sire evaluations for disease from Denmark and Sweden and were then adjusted to approximate genetic correlations.
Banos, G, Rogers, GW, Sander-Nielsen, U
core   +1 more source