Genetic Architecture Reconciles Linkage and Association Studies of Complex Traits
<p>This (zipped) folder contains 3 sub-folders:</p> <p>#**********************************************************************************************************<br>The "bin" folder contains fuctions and gentic maps needed for analyes<br>bin \<br> predLink.R - function to predict linkage <br> sibREML_v0.1.1.R - function to run SibREML<br> sim-sib-array.R - script to simulate sib-pairs from parental haplotypes<br> Summarised_genetic_map_bcf.txt - genetic map per 0.5-cM long segments, based on map from bcftools <br> (BCFtools: https://samtools.github.io/bcftools/bcftools.html)<br> Summarised_genetic_map_OMNI.txt - genetic map per 0.5-cM long segments, based on OMNI map <br> (https://github.com/joepickrell/1000-genomes-genetic-maps/tree/master/interpolated_OMNI)<br>#**********************************************************************************************************</p> <p> </p> <p>#**********************************************************************************************************<br>The "SIM" folder contains the simulation pipeline (scripts 01-15) as well as IBD sharing and simulated phenotypes for Simulated sib-pairs.<br>SIM \<br> 01_sim-sib-array.sh *pre-run*<br> 02_bed_recode_bcf_map.sh *pre-run*<br> 03_make_merlin.R *pre-run*<br> 04_error_merlin.sh *pre-run*<br> 05_merlin_IBD.sh *pre-run*<br> 06_sample_causal_snps.R *pre-run*<br> 07_simulate_pheno.sh *pre-run*<br> 08_bhat_gwas.R *can be run using provided data* <br> 09_Linkage_VH.R *can be run using provided data* <br> 10_predLink.R *can be run using provided data*<br> 11_phi_hat.R *can be run using provided data*<br> 12_IBD_Mb.R *can be run using provided data*<br> 13_IBD_cM_recombrate_stratified.R *can be run using provided data*<br> 14_SibREML.R *can be run using provided data*<br> 15_SibREML_stratified_Q4.R *can be run using provided data*<br> causal_snps \ *provided causal SNPs*<br> IBD_results \ *provided IBD-probabilities for 1000 simulated sib-pairs*<br> Linkage_VH_results \ <br> pheno \ *provided simulated phenotypes (h2=1) for 8 genetic architectures*<br> Phi_hat_results.txt<br> predicted \<br> README<br> SibREML_results.txt<br> SibREML_stratified_Q4.txt</p> <p>The data can be used to run Linkage analysis, predict linkage, estimate phi_hat, <br>as well as estimate non-stratified and recombination rate stratified sib-heritability (h2_FS and c).<br>The README is provided within the folder. <br>#**********************************************************************************************************</p> <p> </p> <p>#**********************************************************************************************************<br>The "HT_BMI" folder contains data and scripts to predict linkage and estimate phi_hat for height and BMI.<br>HT_BMI \<br> 01_predLink_HT_BMI.R<br> 02_phi_hat_HT_BMI.R<br> gws_sumstats \ *provided summary GWAS summary statistics to predict linkage for height and BMI*<br> Linkage_results \ *provided linkage meta-analysis results for height and BMI from this study*<br> Phi_hat_results_HT_BMI.txt<br> PREDLINK_bmi.txt<br> PREDLINK_height.txt<br> README<br>The README is provided within the folder.<br>#**********************************************************************************************************</p> <p><strong> </strong></p>
ShareScore
40/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 12
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 8
- Engagement
- 0