Results 91 to 100 of about 39,970,022 (174)

scPrediXcan integrates deep learning methods and single-cell data into a cell-type-specific transcriptome-wide association study framework

Cell Genomics
Summary: Transcriptome-wide association studies (TWASs) help identify disease-causing genes but often fail to pinpoint disease mechanisms at the cellular level because of the limited sample sizes and sparsity of cell-type-specific expression data.
Yichao Zhou, Temidayo Adeluwa, Lisha Zhu, Sofia Salazar-Magaña, Sarah Sumner, Hyunki Kim, Saideep Gona, Festus Nyasimi, Rohit Kulkarni, Joseph E. Powell, Ravi Madduri, Boxiang Liu, Mengjie Chen, Hae Kyung Im   +13 more
doaj   +1 more source

TWAS-CTL: A robust and efficient method for multi-tissue transcriptome-wide association studies using cross-tissue learners

Abstract The advent of transcriptome-wide association studies (TWAS) has expanded the classical genome-wide association study (GWAS) framework by integrating gene expression with genetic variation to identify trait-associated variants.
Md Mutasim Billah, Hairong Wei, Fengzhu Sun, Kui Zhang   +3 more
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Integrative analysis of Transcriptome-wide and Proteome-wide association study for non-Mendelian disorders

Genome-wide association studies (GWAS) have uncovered numerous variants linked to a wide range of complex traits. However, understanding the mechanisms underlying these associations remains a challenge.
Sudhanshu Shekhar (18430305)
core   +1 more source

Genome-Wide Association Study Identifies Candidate Genes for Body Size Traits in Wanyue Black Pigs

Animals
This study aimed to elucidate the genetic basis of body-size-related traits in Wanyue Black pigs, including body length, chest circumference, forearm circumference, and hip circumference. Phenotypic data were collected from 139 four-month-old female pigs,
Haibo Ye, Wei Li, Fang Tian, Qianqian Wang, Zhonghua Ma, Jinyu Guan, Yueyun Ding, Xianrui Zheng, Zongjun Yin, Xiaodong Zhang   +9 more
doaj   +1 more source

Multi-omic characterization of air pollution effects: Applications of AirSigOmniTWP Hub

Ecotoxicology and Environmental Safety
Air pollution, particularly fine particulate matter and gaseous pollutants including NO2 and NOx, presents significant public health challenges. While the harmful effects of these pollutants are well-documented, the molecular mechanisms underlying their ...
Wei Liu, Tong Liu, Xinxin Si, Jiaxing Liang, Xia Yan, Juexin Zhang, Bing Pang, Wenmin Luo, Junhong Liu, Huazhe Yang, Peng Shi   +10 more
doaj   +1 more source

Opportunities and challenges for transcriptome-wide association studies [PDF]

, 2019
Transcriptome-wide association studies (TWAS) integrate genome-wide association studies (GWAS) and gene expression datasets to identify gene-trait associations.
Arno Ruusalepp, Pasaniuc, Bogdan, Rivas, Manuel A, Alvaro N. Barbeira, Quertermous, Thomas, Nasa Sinnott-Armstrong, Ke Hao, Anshul Kundaje, Wainberg, Michael, Raili Ermel, Bogdan Pasaniuc, Ruusalepp, Arno, Hao, Ke, Knowles, David A, Kundaje, Anshul, Nicholas Mancuso, Michael Wainberg, Mancuso, Nicholas, Golan, David, David A. Knowles, David Golan, Barbeira, Alvaro N, Ermel, Raili, Thomas Quertermous, Hae Kyung Im, Im, Hae Kyung, Sinnott-Armstrong, Nasa, Johan L. M. Björkegren, Manuel A. Rivas, Björkegren, Johan LM   +29 more
core   +1 more source

CTA-TWAS: Cell-type-aware Transcriptome-wide Association Studies

The analysis code used to produce all results for "Cell type aware Transcriptome Wide Association Studies Identify 91 Independent Risk Genes for Alzheimer’s Disease Dementia"
openaire   +1 more source

Transcriptome-wide association studies: opportunities and challenges

, 2017
Transcriptome-wide association studies (TWAS) integrate GWAS and gene expression datasets to find gene-trait associations. In this Perspective, we explore properties of TWAS as a potential approach to prioritize causal genes, using simulations and case ...
Arno Ruusalepp, Alvaro N. Barbeira, David Golan, Nasa Sinnott-Armstrong, Thomas Quertermous, Ke Hao, Anshul Kundaje, Hae Kyung Im, Manuel A Rivas, Raili Ermel, Bogdan Pasaniuc, Johan LM Björkegren, Nicholas Mancuso, Michael Wainberg, David A Knowles   +14 more
core   +1 more source

Transcriptome-wide association study of breast cancer risk by estrogen-receptor status.

, 2020
Previous transcriptome‐wide association studies (TWAS) have identified breast cancer risk genes by integrating data from expression quantitative loci and genome‐wide association studies (GWAS), but analyses of breast cancer subtype‐specific associations ...
Poppe, B, Schoemaker, MJ, Pradhan, N, González-Neira, A, Terry, MB, Cai, Q, Hall, P, Claes, KBM, Hamann, U, Olsson, H, Antoniou, AC, HEBON Investigators, Nevelsteen, I, Neuhausen, SL, Viel, A, Simard, J, Teulé, A, Jung, A, Wappenschmidt, B, Arun, BK, García-Closas, M, Offit, K, Frost, D, Isaacs, C, Jiang, X, Nikitina-Zake, L, Goldberg, MS, Karlan, BY, Shu, X-O, Greene, MH, Punie, K, Papp, J, Taylor, JA, Yang, XR, Prajzendanc, K, Saloustros, E, Tischkowitz, M, OCGN Investigators, Konstantopoulou, I, Sharma, P, van Rensburg, EJ, Carter, J, Nielsen, FC, Risch, HA, John, EM, Campbell, I, Fletcher, O, Mulligan, AM, Thomassen, M, Hopper, JL, Carter, BD, van Asperen, CJ, Gusev, A, Aronson, KJ, Sandler, DP, Ziogas, A, Wang, Q, García-Sáenz, JA, Cross, SS, Fostira, F, Weinberg, CR, Hoover, RN, Barrowdale, D, Hake, C, Bonanni, B, Spurdle, AB, Soucy, P, Dunning, AM, Vachon, CM, Broeks, A, Burwinkel, B, Czene, K, Tung, N, Easton, DF, Tollenaar, RAEM, Castelao, JE, Jakimovska, M, Bolla, MK, Matricardi, L, Osorio, A, Rashid, MU, Hulick, PJ, Kraft, P, Kapoor, PM, Barkardottir, RB, Maurer, T, Azzollini, J, Blanco, A, Asseryanis, E, Lo, W-Y, Rennert, G, Hooning, MJ, Ganz, PA, Cybulski, C, Skytte, A-B, Martinez, ME, Nathanson, KL, Chang-Claude, J, Johnson, N, Arndt, V, Eriksson, M, Martens, JWM, Rantala, J, Wendt, C, Menon, U, Hogervorst, FBL, Dos-Santos-Silva, I, Manoochehri, M, Caldés, T, Dennis, J, Cox, A, Godwin, AK, ABCTB Investigators, Olopade, OI, Joseph, V, Lindström, S, Presneau, N, Schmidt, DF, Brauch, H, Briceno, I, Guénel, P, Lesueur, F, Peto, J, Ellberg, C, GC-HBOC study Collaborators, Anton-Culver, H, Fritschi, L, Gapstur, SM, Campa, D, Lambrechts, D, Feng, H, Huang, G, Tapper, WJ, Aittomäki, K, Balmaña, J, Chung, WK, Christiansen, H, Pedersen, IS, He, W, Santos, C, Makalic, E, Stone, J, Montagna, M, Ejlertsen, B, Giles, GG, Abu-Full, Z, Diez, O, Clarke, CL, van den Ouweland, AMW, GEMO Study Collaborators, Haiman, CA, Teixeira, MR, Devilee, P, Canisius, S, Chenevix-Trench, G, BCFR Investigators, Eccles, DM, Pasaniuc, B, Bogdanova, NV, Olah, E, Romero, A, de la Hoya, M, Janavicius, R, Spinelli, JJ, Humphreys, K, Heyworth, J, Long, J, Mavroudis, D, Swerdlow, AJ, Couch, FJ, Lester, J, Fasching, PA, Southey, MC, Brüning, T, Leroux, D, Meindl, A, Vega, A, Torres, D, Hollestelle, A, Robson, M, Bojesen, SE, Thull, DL, Wu, L, Białkowska, K, Engel, C, Scott, RJ, Jakubowska, A, Peterlongo, P, Gaudet, MM, Vieiro-Balo, P, Milne, RL, Beckmann, MW, Lubiński, J, Singer, CF, Friedman, E, De Leeneer, K, Borg, A, Leslie, G, Domchek, SM, EMBRACE Collaborators, Brenner, H, Pharoah, PDP, Barnes, DR, Andrulis, IL, Park-Simon, T-W, Flyger, H, Margolin, S, Kristensen, VN, Phillips, K-A, Plaseska-Karanfilska, D, Bermisheva, M, Chanock, SJ, Caligo, MA, Lazaro, C, Mannermaa, A, Behrens, S, Muranen, TA, James, P, Gabrielson, M, Jankowitz, RC, Benitez, J, Schmutzler, RK, Laitman, Y, Nevanlinna, H, Khusnutdinova, E, Yannoukakos, D, Moreno, F, Weitzel, JN, Arason, A, Moserle, L, Pylkäs, K, Michailidou, K, Blomqvist, C, Garber, J, Winqvist, R, Goldgar, DE, Gronwald, J, Toland, AE, Truong, T, McGuffog, L, Dwek, M, Loud, JT, Zheng, W, Peixoto, A, Radice, P, Parsons, MT, Miller, A, Daly, MB, Sawyer, EJ, Auer, PL, Kiiski, JI, Glendon, G, Lindor, N, Imyanitov, EN, Boeckx, B, Thöne, K, Dörk, T, Schmidt, MK, Manoukian, S   +258 more
core  

Transcriptome-wide association studies associated with Crohn’s disease: challenges and perspectives

Cell & Bioscience
Crohn’s disease (CD) is regarded as a lifelong progressive disease affecting all segments of the intestinal tract and multiple organs. Based on genome-wide association studies (GWAS) and gene expression data, transcriptome-wide association studies (TWAS)
Keyu Jia, Jun Shen
doaj   +1 more source