Search Results

New insights from GWAS on BMI-related growth traits in a longitudinal cohort of admixed children with Native American and European ancestry

• Authors : Lucas Vicuña; Esteban Barrientos; Tomás Norambuena

Subjects: Health sciences; Human genetics; Genomics

• Source: iScience, Vol 26, Iss 2, Pp 106091- (2023)

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Editing GWAS: experimental approaches to dissect and exploit disease-associated genetic variation.

• Authors : Rao, Shuquan¹ (AUTHOR) ; Yao, Yao^1,2 (AUTHOR); Bauer, Daniel E.¹ (AUTHOR)

• Source: Genome Medicine. 3/10/2021, Vol. 13 Issue 1, p1-20. 20p.

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Comparison of Methods Utilizing Sex-Specific PRSs Derived From GWAS Summary Statistics

• Authors : Chi Zhang; Yixuan Ye; Hongyu Zhao

Subjects: polygenic risk score; genome-wide association study; sex-specific

• Source: Frontiers in Genetics, Vol 13 (2022)

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Additive and heterozygous (dis)advantage GWAS models reveal candidate genes involved in the genotypic variation of maize hybrids to Azospirillum brasilense.

• Authors : Vidotti, Miriam Suzane¹ ; Lyra, Danilo Hottis²; Morosini, Júlia Silva¹

Subjects: *AZOSPIRILLUM brasilense; *CORN; *PLANT genes

• Source: PLoS ONE. 9/19/2019, Vol. 14 Issue 9, p1-21. 21p.

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GWAS of QRS duration identifies new loci specific to Hispanic/Latino populations.

• Authors : Swenson, Brenton R.^1,2 ; Louie, Tin³; Lin, Henry J.^4,5

Subjects: *HISPANIC Americans; *NUCLEAR proteins; *COMPUTATIONAL biologyEUROPE

• Source: PLoS ONE. 6/28/2019, Vol. 14 Issue 6, p1-15. 15p.

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GWAS and PheWAS of red blood cell components in a Northern Nevadan cohort.

• Authors : Read, Robert W.¹; Schlauch, Karen A.¹; Elhanan, Gai¹

Subjects: *ERYTHROCYTES; *CELL anatomy; *BLOOD products

• Source: PLoS ONE. 6/13/2019, Vol. 14 Issue 6, p1-21. 21p.

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Reverse GWAS: Using genetics to identify and model phenotypic subtypes.

• Authors : Dahl, Andy¹ ; Cai, Na^2,3; Ko, Arthur⁴

• Source: PLoS Genetics. 4/5/2019, Vol. 15 Issue 4, p1-22. 22p.

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The Utility of Mouse Models in Post-GWAS Research

• Authors : Lewis, Annabelle; Tomlinson, Ian

• Source: Science, 2012 Dec 01. 338(6112), 1301-1302.

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Editing GWAS: experimental approaches to dissect and exploit disease-associated genetic variation

• Authors : Yao Yao; Daniel E. Bauer; Shuquan Rao

Subjects: lcsh:QH426-470; Systems biology; Quantitative Trait Loci

• Source: Genome Medicine, Vol 13, Iss 1, Pp 1-20 (2021)Genome Medicine

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Powerful gene set analysis in GWAS with the Generalized Berk-Jones statistic.

• Authors : Sun, Ryan¹ ; Hui, Shirley²; Bader, Gary D.²

• Source: PLoS Genetics. 3/15/2019, Vol. 15 Issue 3, p1-27. 27p.

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