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Literature DB >> 29892013

Mixed-model association for biobank-scale datasets.

Po-Ru Loh^1,2, Gleb Kichaev³, Steven Gazal^4,5, Armin P Schoech^4,5,6, Alkes L Price^7,8,9.

Abstract

Entities: Disease Gene Species

Mesh：

Year: 2018 PMID： 29892013 PMCID： PMC6309610 DOI： 10.1038/s41588-018-0144-6

Source DB: PubMed Journal: Nat Genet ISSN： 1061-4036 Impact factor: 38.330

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9 in total

1. Improved linear mixed models for genome-wide association studies.

Authors: Jennifer Listgarten; Christoph Lippert; Carl M Kadie; Robert I Davidson; Eleazar Eskin; David Heckerman
Journal: Nat Methods Date: 2012-05-30 Impact factor: 28.547

2. A unified mixed-model method for association mapping that accounts for multiple levels of relatedness.

Authors: Jianming Yu; Gael Pressoir; William H Briggs; Irie Vroh Bi; Masanori Yamasaki; John F Doebley; Michael D McMullen; Brandon S Gaut; Dahlia M Nielsen; James B Holland; Stephen Kresovich; Edward S Buckler
Journal: Nat Genet Date: 2005-12-25 Impact factor: 38.330

3. LD Score regression distinguishes confounding from polygenicity in genome-wide association studies.

Authors: Brendan K Bulik-Sullivan; Po-Ru Loh; Hilary K Finucane; Stephan Ripke; Jian Yang; Nick Patterson; Mark J Daly; Alkes L Price; Benjamin M Neale
Journal: Nat Genet Date: 2015-02-02 Impact factor: 38.330

4. Linkage disequilibrium-dependent architecture of human complex traits shows action of negative selection.

Authors: Steven Gazal; Hilary K Finucane; Nicholas A Furlotte; Po-Ru Loh; Pier Francesco Palamara; Xuanyao Liu; Armin Schoech; Brendan Bulik-Sullivan; Benjamin M Neale; Alexander Gusev; Alkes L Price
Journal: Nat Genet Date: 2017-09-11 Impact factor: 38.330

5. Advantages and pitfalls in the application of mixed-model association methods.

Authors: Jian Yang; Noah A Zaitlen; Michael E Goddard; Peter M Visscher; Alkes L Price
Journal: Nat Genet Date: 2014-02 Impact factor: 38.330

6. An atlas of genetic associations in UK Biobank.

Authors: Oriol Canela-Xandri; Konrad Rawlik; Albert Tenesa
Journal: Nat Genet Date: 2018-10-22 Impact factor: 38.330

7. UK biobank: an open access resource for identifying the causes of a wide range of complex diseases of middle and old age.

Authors: Cathie Sudlow; John Gallacher; Naomi Allen; Valerie Beral; Paul Burton; John Danesh; Paul Downey; Paul Elliott; Jane Green; Martin Landray; Bette Liu; Paul Matthews; Giok Ong; Jill Pell; Alan Silman; Alan Young; Tim Sprosen; Tim Peakman; Rory Collins
Journal: PLoS Med Date: 2015-03-31 Impact factor: 11.069

8. Efficient Bayesian mixed-model analysis increases association power in large cohorts.

Authors: Po-Ru Loh; George Tucker; Brendan K Bulik-Sullivan; Bjarni J Vilhjálmsson; Hilary K Finucane; Rany M Salem; Daniel I Chasman; Paul M Ridker; Benjamin M Neale; Bonnie Berger; Nick Patterson; Alkes L Price
Journal: Nat Genet Date: 2015-02-02 Impact factor: 38.330

9. Efficiently controlling for case-control imbalance and sample relatedness in large-scale genetic association studies.

Authors: Wei Zhou; Jonas B Nielsen; Lars G Fritsche; Rounak Dey; Maiken E Gabrielsen; Brooke N Wolford; Jonathon LeFaive; Peter VandeHaar; Sarah A Gagliano; Aliya Gifford; Lisa A Bastarache; Wei-Qi Wei; Joshua C Denny; Maoxuan Lin; Kristian Hveem; Hyun Min Kang; Goncalo R Abecasis; Cristen J Willer; Seunggeun Lee
Journal: Nat Genet Date: 2018-08-13 Impact factor: 38.330

9 in total

197 in total

1. Genome-wide Associations Reveal Human-Mouse Genetic Convergence and Modifiers of Myogenesis, CPNE1 and STC2.

Authors: Ana I Hernandez Cordero; Natalia M Gonzales; Clarissa C Parker; Greta Sokolof; David J Vandenbergh; Riyan Cheng; Mark Abney; Andrew Sko; Alex Douglas; Abraham A Palmer; Jennifer S Gregory; Arimantas Lionikas
Journal: Am J Hum Genet Date: 2019-11-21 Impact factor: 11.025

2. Association of Myopia and Intraocular Pressure With Retinal Detachment in European Descent Participants of the UK Biobank Cohort: A Mendelian Randomization Study.

Authors: Xikun Han; Jue-Sheng Ong; Jiyuan An; Jamie E Craig; Puya Gharahkhani; Alex W Hewitt; Stuart MacGregor
Journal: JAMA Ophthalmol Date: 2020-06-01 Impact factor: 7.389

Mixed-model association for biobank-scale datasets.

1. Improved linear mixed models for genome-wide association studies.

2. A unified mixed-model method for association mapping that accounts for multiple levels of relatedness.

3. LD Score regression distinguishes confounding from polygenicity in genome-wide association studies.

4. Linkage disequilibrium-dependent architecture of human complex traits shows action of negative selection.

5. Advantages and pitfalls in the application of mixed-model association methods.

6. An atlas of genetic associations in UK Biobank.

7. UK biobank: an open access resource for identifying the causes of a wide range of complex diseases of middle and old age.

8. Efficient Bayesian mixed-model analysis increases association power in large cohorts.

9. Efficiently controlling for case-control imbalance and sample relatedness in large-scale genetic association studies.

1. Genome-wide Associations Reveal Human-Mouse Genetic Convergence and Modifiers of Myogenesis, CPNE1 and STC2.

2. Association of Myopia and Intraocular Pressure With Retinal Detachment in European Descent Participants of the UK Biobank Cohort: A Mendelian Randomization Study.

3. Extreme Polygenicity of Complex Traits Is Explained by Negative Selection.

4. Benchmarker: An Unbiased, Association-Data-Driven Strategy to Evaluate Gene Prioritization Algorithms.

5. A genome-wide association study of bitter and sweet beverage consumption.

6. Disentangling selection on genetically correlated polygenic traits via whole-genome genealogies.

7. DeepCOMBI: explainable artificial intelligence for the analysis and discovery in genome-wide association studies.

8. Using the Data We Have: Improving Diversity in Genomic Research.

Review 9. Genomic updates in understanding PTSD.

10. Genetic mapping of etiologic brain cell types for obesity.