Results 1 to 10 of about 3,463,080 (339)

Fine-mapping from summary data with the "Sum of Single Effects" model.

PLoS Genetics, 2022
In recent work, Wang et al introduced the "Sum of Single Effects" (SuSiE) model, and showed that it provides a simple and efficient approach to fine-mapping genetic variants from individual-level data.
Yuxin Zou, Peter Carbonetto, Gao Wang, Matthew Stephens   +3 more
doaj   +2 more sources

Genome-wide iterative fine-mapping for non-Gaussian phenotypes [PDF]

Scientific Reports
Fine-mapping seeks to identify causal variants associated to a phenotype of interest. Fine-mapping searches through genomic regions previously identified by single marker analysis of genome-wide association studies (GWAS) data. This two-stage approach (1)
Shuangshuang Xu, Jacob Williams, Allison Tegge, Marco A. R. Ferreira   +3 more
doaj   +2 more sources

Identifying causal variants by fine mapping across multiple studies.

PLoS Genetics, 2021
Increasingly large Genome-Wide Association Studies (GWAS) have yielded numerous variants associated with many complex traits, motivating the development of "fine mapping" methods to identify which of the associated variants are causal. Additionally, GWAS
Nathan LaPierre, Kodi Taraszka, Helen Huang, Rosemary He, Farhad Hormozdiari, Eleazar Eskin   +5 more
doaj   +2 more sources

Genetic and epigenetic fine mapping of causal autoimmune disease variants

Nature, 2014
Genome-wide association studies have identified loci underlying human diseases, but the causal nucleotide changes and mechanisms remain largely unknown.
Kyle Kai-How Farh, Alexander Marson, Jiang Zhu   +2 more
exaly   +2 more sources

Genome-wide meta-analysis, fine-mapping, and integrative prioritization implicate new Alzheimer’s disease risk genes

Nature Genetics, 2021
A Correction to this paper has been published: https://doi.org/10.1038/s41588-021-00822-1.
J. Schwartzentruber, Sarah Cooper, J. Liu, Inigo Barrio‐Hernandez, Erica Bello, Natsuhiko Kumasaka, Adam M. H. Young, R. Franklin, T. Johnson, K. Estrada, Daniel J. Gaffney, P. Beltrão, Andrew R. Bassett   +12 more
semanticscholar   +2 more sources

INDOOR 3D POINT CLOUDS SEMANTIC SEGMENTATION BASES ON MODIFIED POINTNET NETWORK [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020
Indoor 3D point clouds semantics segmentation is one of the key technologies of constructing 3D indoor models,which play an important role on domains like indoor navigation and positioning,intelligent city, intelligent robot etc.
J. Zhao, J. Zhao, J. Zhao, X. Zhang, X. Zhang, Y. Wang, Y. Wang   +6 more
doaj   +1 more source

SparsePro: An efficient fine-mapping method integrating summary statistics and functional annotations.

PLoS Genetics, 2023
Identifying causal variants from genome-wide association studies (GWAS) is challenging due to widespread linkage disequilibrium (LD) and the possible existence of multiple causal variants in the same genomic locus.
Wenmin Zhang, Hamed Najafabadi, Yue Li
doaj   +1 more source

Leveraging fine-mapping and multi-population training data to improve cross-population polygenic risk scores

Nature Genetics, 2022
Polygenic risk scores suffer reduced accuracy in non-European populations, exacerbating health disparities. We propose PolyPred, a method that improves cross-population polygenic risk scores by combining two predictors: a new predictor that leverages ...
O. Weissbrod, M. Kanai, Huwenbo Shi, S. Gazal, W. Peyrot, A. Khera, Y. Okada, Koichi Yuji Yoichi Takayuki Yoshinori Yoichiro Kaori Akik Matsuda Yamanashi Furukawa Morisaki Murakami Kamat, K. Matsuda, Yuji Yamanashi, Y. Furukawa, Takayuki Morisaki, Yoshinori Murakami, Y. Kamatani, K. Muto, A. Nagai, Wataru Obara, Ken Yamaji, Kazuhisa Takahashi, S. Asai, Yasuo Takahashi, Takao Suzuki, N. Sinozaki, H. Yamaguchi, S. Minami, S. Murayama, K. Yoshimori, S. Nagayama, D. Obata, Masahiko Higashiyama, A. Masumoto, Y. Koretsune, Alicia R. Martin, H. Finucane, A. Price   +34 more
semanticscholar   +1 more source

Fine-mapping across diverse ancestries drives the discovery of putative causal variants underlying human complex traits and diseases

medRxiv, 2023
Genome-wide association studies (GWAS) of human complex traits or diseases often implicate genetic loci that span hundreds or thousands of genetic variants, many of which have similar statistical signi[fi]cance.
K. Yuan, Tzu-Ting Chen, S. Lin, Ryan J. Longchamps, A. Pardiñas, Max W. Y. Lam, Chia-Yen Chen, Y. Feng, Yen-Feng Lin, T. Ge, Hailiang Huang   +10 more
semanticscholar   +1 more source

XMAP: Cross-population fine-mapping by leveraging genetic diversity and accounting for confounding bias

bioRxiv, 2023
Fine-mapping prioritizes risk variants identified by genome-wide association studies (GWASs), serving as a critical step to uncover biological mechanisms underlying complex traits.
Mingxuan Cai, Zhiwei Wang, Jiashun Xiao, Xianghong Hu, Gang Chen, Can Yang   +5 more
semanticscholar   +1 more source