Identification of potential genetic causal variants for obesity-related traits using statistical fine mapping-Reference-Cited by-同舟云学术

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Identification of potential genetic causal variants for obesity-related traits using statistical fine mapping

Published:2023-07-27 Issue:6 Volume:298 Page:1309-1319
ISSN:1617-4615
Container-title:Molecular Genetics and Genomics
language:en
Short-container-title:Mol Genet Genomics

Author:

Gong Rui,Greenbaum Jonathan,Lin Xu,Du Yan,Su Kuan-Jui,Gong Yun,Shen Jie,Deng Hong-Wen^ORCID

Funder

Foundation for the National Institutes of Health

Innovative Research Group Project of the National Natural Science Foundation of China

Key Discipline Program of Gansu Provincial Hospital

Science and Technology Program of Chengguan district of Lanzhou

Publisher

Springer Science and Business Media LLC

Subject

Genetics,Molecular Biology,General Medicine

Link

https://link.springer.com/content/pdf/10.1007/s00438-023-02055-9.pdf

Reference39 articles.

1. Barber TM, Kyrou I, Randeva HS, Weickert MO (2021) Mechanisms of insulin resistance at the crossroad of obesity with associated metabolic abnormalities and cognitive dysfunction. IJMS 22(2):546. https://doi.org/10.3390/ijms22020546

2. Barness LA, Opitz JM, Gilbert-Barness E (2007) Obesity: genetic, molecular, and environmental aspects. Am J Med Genet A 143A(24):3016–3034. https://doi.org/10.1002/ajmg.a.32035

3. Benner C, Spencer CCA, Havulinna AS, Salomaa V, Ripatti S, Pirinen M (2016) FINEMAP: efficient variable selection using summary data from genome-wide association studies. Bioinformatics 32(10):1493–1501. https://doi.org/10.1093/bioinformatics/btw018

4. Bernstein BE, Stamatoyannopoulos JA, Costello JF et al (2010) The NIH roadmap epigenomics mapping consortium. Nat Biotechnol 28(10):1045–1048. https://doi.org/10.1038/nbt1010-1045

5. Bottolo L, Chadeau-Hyam M, Hastie DI et al (2013) GUESS-ing polygenic associations with multiple phenotypes using a GPU-based evolutionary stochastic search algorithm. PLoS Genet. https://doi.org/10.1371/journal.pgen.1003657

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