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James F Wilson

Showing results (101-110 of 373) with videos related to

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Nature Communications|May 18, 2022
Large-scale GWAS of food liking reveals genetic determinants and genetic correlations with distinct neurophysiological traitsSebastian May-Wilson, Nana Matoba, Kaitlin H Wade, et al.
Nature Communications|July 1, 2018
Reply to 'Misestimation of heritability and prediction accuracy of male-pattern baldness'Nicola Pirastu, Peter K Joshi, Paul S de Vries, et al.
Plos One|July 23, 2013
Local exome sequences facilitate imputation of less common variants and increase power of genome wide association studiesPeter K Joshi, James Prendergast, Ross M Fraser, et al.
American Journal of Human Genetics|March 15, 2025
Actionable genetic variants in 4,198 Scottish participants from the Orkney and Shetland founder populations and implementation of return of resultsShona M Kerr, Lucija Klaric, Marisa D Muckian, et al.
Journal of Proteome Research|January 20, 2012
Association of medication with the human plasma N-glycomeRadka Saldova, Jennifer E Huffman, Barbara Adamczyk, et al.
Nature Communications|November 28, 2025
Genome-wide gene-environment interaction study uncovers 162 vitamin D status variants using a precise ambient UVB measureRasha Shraim, Maria Timofeeva, Cathy Wyse, et al.
Nature Communications|July 1, 2018
Author Correction: GWAS for male-pattern baldness identifies 71 susceptibility loci explaining 38% of the riskNicola Pirastu, Peter K Joshi, Paul S de Vries, et al.
Scientific Reports|July 31, 2019
An actionable KCNH2 Long QT Syndrome variant detected by sequence and haplotype analysis in a population research cohortShona M Kerr, Lucija Klaric, Mihail Halachev, et al.
Nature Communications|November 18, 2017
GWAS for male-pattern baldness identifies 71 susceptibility loci explaining 38% of the riskNicola Pirastu, Peter K Joshi, Paul S de Vries, et al.
Nature Aging|April 28, 2023
Mendelian randomization of genetically independent aging phenotypes identifies LPA and VCAM1 as biological targets for human agingPaul R H J Timmers, Evgeny S Tiys, Saori Sakaue, et al.
Pageof 38

Showing results (101-110 of 373) with videos related to

Sort By:
Pageof 38
Nature Communications|May 18, 2022
Large-scale GWAS of food liking reveals genetic determinants and genetic correlations with distinct neurophysiological traitsSebastian May-Wilson, Nana Matoba, Kaitlin H Wade, et al.
Nature Communications|July 1, 2018
Reply to 'Misestimation of heritability and prediction accuracy of male-pattern baldness'Nicola Pirastu, Peter K Joshi, Paul S de Vries, et al.
Plos One|July 23, 2013
Local exome sequences facilitate imputation of less common variants and increase power of genome wide association studiesPeter K Joshi, James Prendergast, Ross M Fraser, et al.
American Journal of Human Genetics|March 15, 2025
Actionable genetic variants in 4,198 Scottish participants from the Orkney and Shetland founder populations and implementation of return of resultsShona M Kerr, Lucija Klaric, Marisa D Muckian, et al.
Journal of Proteome Research|January 20, 2012
Association of medication with the human plasma N-glycomeRadka Saldova, Jennifer E Huffman, Barbara Adamczyk, et al.
Nature Communications|November 28, 2025
Genome-wide gene-environment interaction study uncovers 162 vitamin D status variants using a precise ambient UVB measureRasha Shraim, Maria Timofeeva, Cathy Wyse, et al.
Nature Communications|July 1, 2018
Author Correction: GWAS for male-pattern baldness identifies 71 susceptibility loci explaining 38% of the riskNicola Pirastu, Peter K Joshi, Paul S de Vries, et al.
Scientific Reports|July 31, 2019
An actionable KCNH2 Long QT Syndrome variant detected by sequence and haplotype analysis in a population research cohortShona M Kerr, Lucija Klaric, Mihail Halachev, et al.
Nature Communications|November 18, 2017
GWAS for male-pattern baldness identifies 71 susceptibility loci explaining 38% of the riskNicola Pirastu, Peter K Joshi, Paul S de Vries, et al.
Nature Aging|April 28, 2023
Mendelian randomization of genetically independent aging phenotypes identifies LPA and VCAM1 as biological targets for human agingPaul R H J Timmers, Evgeny S Tiys, Saori Sakaue, et al.
Pageof 38