Results 81 to 90 of about 189,144 (345)

Cross‐Modal Denoising and Integration of Spatial Multi‐Omics Data with CANDIES

Advanced Science, EarlyView.
In this paper, we introduce CANDIES, which leverages a conditional diffusion model and contrastive learning to effectively denoise and integrate spatial multi‐omics data. We conduct extensive evaluations on diverse synthetic and real datasets, CANDIES shows superior performance on various downstream tasks, including denoising, spatial domain ...
Ye Liu, Wanpeng Zou, Yuekai Li, Jiayi Wang, Mingxuan Cai, Hongmin Cai   +5 more
wiley   +1 more source

Contribution of genome-wide association studies to scientific research: a pragmatic approach to evaluate their impact. [PDF]

PLoS ONE, 2013
The factual value of genome-wide association studies (GWAS) for the understanding of multifactorial diseases is a matter of intense debate. Practical consequences for the development of more effective therapies do not seem to be around the corner.
Vito A G Ricigliano, Renato Umeton, Lorenzo Germinario, Eleonora Alma, Martina Briani, Noemi Di Segni, Dalma Montesanti, Giorgia Pierelli, Fabiana Cancrini, Cristiano Lomonaco, Francesca Grassi, Gabriella Palmieri, Marco Salvetti   +12 more
doaj   +1 more source

Genome-Wide Association Study (GWAS) to Identify Salt-Tolerance QTLs Carrying Novel Candidate Genes in Rice During Early Vegetative Stage [PDF]

, 2021
Leila Nayyeripasand, Ghasem Ali Garoosi, Asadollah Ahmadikhah   +2 more
openalex   +1 more source

Pathway and gene-based analysis of genome wide association studies (GWAS)

, 2012
My PhD thesis comprises the development and application of novel strategies to analyse genome-wide association studies (GWAS) in the context of functional pathways.
Eleftherochorinou, Charikleia, Eleftherochorinou, Charikleia   +1 more
core   +1 more source

Bivariate causal mixture model quantifies polygenic overlap between complex traits beyond genetic correlation. [PDF]

, 2019
Accumulating evidence from genome wide association studies (GWAS) suggests an abundance of shared genetic influences among complex human traits and disorders, such as mental disorders.
Andreassen, Ole A, Dale, Anders M, Djurovic, Srdjan, Fan, Chun Chieh, Frei, Oleksandr, Holland, Dominic, Maeland, Steffen, O'Connell, Kevin S, Shadrin, Alexey A, Smeland, Olav B, Thompson, Wesley K, Wang, Yunpeng   +11 more
core   +3 more sources

A Soft Matrix Microenvironment Promotes Laterally Spreading Tumors via Oxidative Phosphorylation‐Dependent Cell Adhesion

Advanced Science, EarlyView.
Laterally spreading tumors (LSTs) are precancerous colorectal lesions characterized by a flat morphology. This study reveals a mechanochemical pathway through which a soft matrix microenvironment diminishes spatial constraints in intestinal adenomas. This process promotes deficiencies in tight junction proteins, mediated by the mechanoreceptor ADORA2B ...
Jiamin Zhong, Jingyi Lu, Haopeng Li, Jun Zhong, Xiaobei Luo, Yiyi Hu, Xianfei Wang, Pengfei Wang, Yanning Zhang, Zhenjiang Wang, Qiuhua Lai, Zhenyu Chen, Wenting Mi, Wang Tin San‐to, Weize Li, Shuping Tan, Qihong Cheng, Ruijia Li, Yida Nie, Side Liu, Bing Huang, Zelong Han   +21 more
wiley   +1 more source

Genome wide association study reveals novel associations with face morphology.

PLoS ONE
Genome-wide association studies (GWAS) on the Middle Eastern population, including the United Arab Emirates (UAE), have been relatively limited. The present study aims to investigate genotype-face morphology associations in the UAE population through ...
Aamer Alshehhi, Mira Mousa, Guan K Tay, Naoufel Werghi, Habiba AlSafar   +4 more
doaj   +1 more source

MI-GWAS: a SAS platform for the analysis of inherited and maternal genetic effects in genome-wide association studies using log-linear models

BMC Bioinformatics, 2011
Background Several platforms for the analysis of genome-wide association data are available. However, these platforms focus on the evaluation of the genotype inherited by affected (i.e. case) individuals, whereas for some conditions (e.g.
Mitchell Laura E, Agopian AJ
doaj   +1 more source

Genome-wide trans-ancestry meta-analysis provides insight into the genetic architecture of type 2 diabetes susceptibility. [PDF]

, 2014
To further understanding of the genetic basis of type 2 diabetes (T2D) susceptibility, we aggregated published meta-analyses of genome-wide association studies (GWAS), including 26,488 cases and 83,964 controls of European, east Asian, south Asian and ...
Abecasis, Goncalo R, Adair, Linda S, Almgren, Peter, Asian Genetic Epidemiology Network Type 2 Diabetes (AGEN-T2D) Consortium, Atalay, Mustafa, Aung, Tin, Baldassarre, Damiano, Balkau, Beverley, Bao, Yuqian, Barnett, Anthony H, Barroso, Ines, Basit, Abdul, Been, Latonya F, Beilby, John, Bell, Graeme I, Below, Jennifer E, Benediktsson, Rafn, Bergman, Richard N, Boehm, Bernhard O, Boerwinkle, Eric, Bonnycastle, Lori L, Burtt, Noël, Cai, Qiuyin, Campbell, Harry, Carey, Jason, Cauchi, Stephane, Caulfield, Mark, Chan, Juliana CN, Chang, Li-Ching, Chang, Tien-Jyun, Chang, Yi-Cheng, Charpentier, Guillaume, Chen, Chien-Hsiun, Chen, Han, Chen, Yuan-Tsong, Chia, Kee-Seng, Chidambaram, Manickam, Chines, Peter S, Cho, Nam H, Cho, Young Min, Chuang, Lee-Ming, Chuang, Lee-Ming, Collins, Francis S, Cornelis, Marylin C, Couper, David J, Crenshaw, Andrew T, Danesh, John, Das, Debashish, de Faire, Ulf, Dedoussis, George, Deloukas, Panos, DIAbetes Genetics Replication And Meta-analysis (DIAGRAM) Consortium, Dimas, Antigone S, Dina, Christian, Doney, Alex S, Donnelly, Peter J, Dorkhan, Mozhgan, Dupuis, Josée, Edkins, Sarah, Elliott, Paul, Emilsson, Valur, Erbel, Raimund, Eriksson, Johan G, Escobedo, Jorge, Esko, Tonu, Eury, Elodie, Ferreira, Teresa, Florez, Jose C, Fontanillas, Pierre, Forouhi, Nita G, Forsen, Tom, Fox, Caroline, Fraser, Ross M, Frayling, Timothy M, Froguel, Philippe, Frossard, Philippe, Gao, Yutang, Gaulton, Kyle J, Gertow, Karl, Gieger, Christian, Gigante, Bruna, Go, Min Jin, Grallert, Harald, Grant, George B, Groves, Chrisropher J, Grrop, Leif C, Horikoshi, Momoko, Johnson, Andrew D, Mahajan, Anubha, Mexican American Type 2 Diabetes (MAT2D) Consortium, Ng, Maggie CY, Prokopenko, Inga, Saleheen, Danish, South Asian Type 2 Diabetes (SAT2D) Consortium, Type 2 Diabetes Genetic Exploration by Nex-generation sequencing in muylti-Ethnic Samples (T2D-GENES) Consortium, van Dam, Rob M, van Duijn, Cornelia, Wang, Xu, Zeggini, Eleftheria, Zhang, Weihua   +99 more
core  

Learning the optimal scale for GWAS through hierarchical SNP aggregation

, 2018
Motivation: Genome-Wide Association Studies (GWAS) seek to identify causal genomic variants associated with rare human diseases. The classical statistical approach for detecting these variants is based on univariate hypothesis testing, with healthy ...
Ambroise, Christophe, Guinot, Florent, Samson, Franck, Szafranski, Marie   +3 more
core   +4 more sources