Automated Author ProfileHawkes, Gareth
University of Exeter
Hawkes, Gareth
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 3.0 (sum of 6 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Summary statistics for Hawkes et. al 202X "Whole genome sequencing analysis identifies rare, large-effect non-coding variants and regulatory regions associated with circulating protein levels". Single variant summary statistics (minor allele count >=5) for EUR, AFR and SAS ancestries, and aggregates for EUR-only .
Authors
- Hawkes, Gareth
Summary statistics for Hawkes et. al 202X "Whole genome sequencing analysis identifies rare, large-effect non-coding variants and regulatory regions associated with circulating protein levels". Single variant summary statistics (minor allele count >=5) for EUR, AFR and SAS ancestries, and aggregates for EUR-only .
Authors
- Hawkes, Gareth
Additional file 2: Supplementary Table 1. Read v2 and CTV3 codes used to identify women with vasomotor symptoms. Supplementary Table 2. Numbers of women included in the genome-wide analyses. Supplementary Table 3. Loss-of-function variants in TACR3 identified in analysis of UK Biobank exome sequencing data. Supplementary Table 4. Results of gene burden and single variant analyses of TACR3 in exome sequencing data from UK Biobank. Supplementary Table 5. Comparison of the effects on VMS and age at menarche of rs34867104 (GWAS signal) and rs144292455 (rare loss of function variant) in TACR3. Supplementary Table 6. Conditional analyses of variants in TACR3 associated with VMS and age at menarche. Supplementary Table 7. Genetic signals identified by GWAS of HRT phenotypes. Supplementary Table 8. Results of Mendelian randomisation analyses of association of age at menopause with HRT use. Supplementary Table 9. Heterogeneity in effect of genetic variants on HRT use before and after 2002. Supplementary Table 10. PsychENCODE brain eQTL data for TACR3.
Authors
- Ruth, Katherine S. ;
- Beaumont, Robin N. ;
- Locke, Jonathan M. ;
- Tyrrell, Jessica ;
- Crandall, Carolyn J. ;
- Hawkes, Gareth ;
- Frayling, Timothy M. ;
- Prague, Julia K. ;
- Patel, Kashyap A. ;
- Wood, Andrew R. ;
- Weedon, Michael N. ;
- Murray, Anna
Additional file 2: Supplementary Table 1. Read v2 and CTV3 codes used to identify women with vasomotor symptoms. Supplementary Table 2. Numbers of women included in the genome-wide analyses. Supplementary Table 3. Loss-of-function variants in TACR3 identified in analysis of UK Biobank exome sequencing data. Supplementary Table 4. Results of gene burden and single variant analyses of TACR3 in exome sequencing data from UK Biobank. Supplementary Table 5. Comparison of the effects on VMS and age at menarche of rs34867104 (GWAS signal) and rs144292455 (rare loss of function variant) in TACR3. Supplementary Table 6. Conditional analyses of variants in TACR3 associated with VMS and age at menarche. Supplementary Table 7. Genetic signals identified by GWAS of HRT phenotypes. Supplementary Table 8. Results of Mendelian randomisation analyses of association of age at menopause with HRT use. Supplementary Table 9. Heterogeneity in effect of genetic variants on HRT use before and after 2002. Supplementary Table 10. PsychENCODE brain eQTL data for TACR3.
Authors
- Ruth, Katherine S. ;
- Beaumont, Robin N. ;
- Locke, Jonathan M. ;
- Tyrrell, Jessica ;
- Crandall, Carolyn J. ;
- Hawkes, Gareth ;
- Frayling, Timothy M. ;
- Prague, Julia K. ;
- Patel, Kashyap A. ;
- Wood, Andrew R. ;
- Weedon, Michael N. ;
- Murray, Anna
Additional file 2. Table S1. Contains Table S1 showing the clusters assigned to genes, along with descriptive data on the genes
Authors
- Beaumont, Robin N. ;
- Hawkes, Gareth ;
- Gunning, Adam C. ;
- Wright, Caroline F.
Additional file 2. Table S1. Contains Table S1 showing the clusters assigned to genes, along with descriptive data on the genes
Authors
- Beaumont, Robin N. ;
- Hawkes, Gareth ;
- Gunning, Adam C. ;
- Wright, Caroline F.