{"id":297,"date":"2023-07-19T12:22:11","date_gmt":"2023-07-19T10:22:11","guid":{"rendered":"https:\/\/transfer.sysepi.medizin.uni-greifswald.de\/thyroidomics\/?page_id=297"},"modified":"2026-02-22T19:58:12","modified_gmt":"2026-02-22T18:58:12","slug":"datasets","status":"publish","type":"page","link":"https:\/\/genepi.med.uni-greifswald.de\/thyroidomics\/datasets\/","title":{"rendered":"Datasets"},"content":{"rendered":"\n<p class=\"has-medium-font-size wp-block-paragraph\">GWAS meta-analysis summary statistics for download<\/p>\n<p><em>By downloading the data you agree to use the data for scientific purposes only, and you do not attempt to re-identify individual participants included in the summary statistics. Furthermore, you are not allowed to redistribute the downloaded files or to upload them into a public repository. The download will be logged and may be analyzed for statistical purposes.<\/em><\/p>\n\n\n\n<hr class=\"wp-block-separator has-css-opacity\"\/>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Bujnis <em>et al.<\/em> 2026 publication<\/li>\n<\/ul>\n\n\n\n<div class=\"wp-block-columns has-2-columns is-layout-flex wp-container-core-columns-is-layout-8f761849 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<figure class=\"wp-block-table is-style-stripes\"><table><tbody><tr><td><\/td><td><strong>Trait<\/strong><\/td><td><strong>Stratum<\/strong><\/td><td><strong>MByte<\/strong><\/td><\/tr>\n<tr><td><a href=\"\/thyroidomics\/dataset_hypothyroidism\/5f418986-a13b-4caa-b31d-35224aefb8d4\/resource\/f57341ff-be79-4942-8094-ede5ebbccecf\/download\/formatted_hypothyroidism_overall_08nov2023_invvar1.txt-qcfiltered_gc.txt.gz\" target=\"ckan\"><i class=\"wp-svg-disk disk\"><\/i><\/a><\/td><td>Hypothyroidism<\/td><td>overall<\/td><td>186<\/td><\/tr><tr><td><a href=\"\/thyroidomics\/dataset_hypothyroidism\/5f418986-a13b-4caa-b31d-35224aefb8d4\/resource\/e7e4f1cf-e654-4df5-b95f-bc8742261a81\/download\/formatted_hypothyroidism_overall_20dec2023_onlyeuro_invvar1.txt-qcfiltered_gc.txt.gz\" target=\"ckan\"><i class=\"wp-svg-disk disk\"><\/i><\/a><\/td><td>Hypothyroidism<\/td><td>European ancestry<\/td><td>193<\/td><\/tr><tr><td><a href=\"\/thyroidomics\/dataset_hypothyroidism\/5f418986-a13b-4caa-b31d-35224aefb8d4\/resource\/e72d7536-726d-43e7-96d0-8cf87f8c0c76\/download\/formatted_hypothyroidism_female_03jul24_invvar1.txt.gz-qcfiltered_gc.txt.gz\" target=\"ckan\"><i class=\"wp-svg-disk disk\"><\/i><\/a><\/td><td>Hypothyroidism<\/td><td>women<\/td><td>181<\/td><\/tr><tr><td><a href=\"\/thyroidomics\/dataset_hypothyroidism\/5f418986-a13b-4caa-b31d-35224aefb8d4\/resource\/dfd47474-0978-484e-906c-d2d2a2c293e7\/download\/formatted_hypothyroidism_male_08nov2023_invvar1.txt-qcfiltered_gc.txt.gz\" target=\"ckan\"><i class=\"wp-svg-disk disk\"><\/i><\/a><\/td><td>Hypothyroidism<\/td><td>men<\/td><td>135<\/td><\/tr><tr><td><a href=\"\/thyroidomics\/dataset_hypothyroidism\/5f418986-a13b-4caa-b31d-35224aefb8d4\/resource\/166b89f1-0fb1-466c-9d86-0aca8663a6c8\/download\/formatted_hypothyroidism_mrmega_overall_pc3.result.fixedp.qccorrected.txt-qcfiltered_gc.txt.gz\" target=\"ckan\"><i class=\"wp-svg-disk disk\"><\/i><\/a><\/td><td>Hypothyroidism<\/td><td>MR-MEGA<\/td><td>334<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<div class=\"su-spoiler su-spoiler-style-fancy su-spoiler-icon-caret-square su-spoiler-closed\" data-scroll-offset=\"0\" data-anchor-in-url=\"no\"><div class=\"su-spoiler-title\" tabindex=\"0\" role=\"button\"><span class=\"su-spoiler-icon\"><\/span>Description of columns<\/div><div class=\"su-spoiler-content su-u-clearfix su-u-trim\">\n<table class=\"wp-block-table is-style-stripes\" style=\"font-size:80%;\">\n<tbody>\n<tr>\n<td>MarkerName<\/td>\n<td>chr:position:type (GRCh build 37)<\/td>\n<\/tr>\n<tr>\n<td>Allele1<\/td>\n<td>coding allele<\/td>\n<\/tr>\n<tr>\n<td>Allele2<\/td>\n<td>noncoding allele<\/td>\n<\/tr>\n<tr>\n<td>Freq1<\/td>\n<td>the frequency of allele1<\/td>\n<\/tr>\n<tr>\n<td>Effect<\/td>\n<td>the association effect of allele 1<\/td>\n<\/tr>\n<tr>\n<td>StdErr<\/td>\n<td>the standard error of the effect<\/td>\n<\/tr>\n<tr>\n<td>P.value<\/td>\n<td>the association p-value<\/td>\n<\/tr>\n<tr>\n<td>N<\/td>\n<td>the total sample size<\/td>\n<\/tr>\n<tr>\n<td>I2<\/td>\n<td>the I<sup>2<\/sup> heterogeneity measure<\/td>\n<\/tr>\n<tr>\n<td>rsid<\/td>\n<td>the RS identifier of the variant (if available)<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div><\/div>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n<\/div>\n<\/div>\n\n\n<div class=\"su-spoiler su-spoiler-style-fancy su-spoiler-icon-caret-square su-spoiler-closed\" data-scroll-offset=\"0\" data-anchor-in-url=\"no\"><div class=\"su-spoiler-title\" tabindex=\"0\" role=\"button\"><span class=\"su-spoiler-icon\"><\/span>Description of this dataset<\/div><div class=\"su-spoiler-content su-u-clearfix su-u-trim\">The dataset includes the genome-wide association analysis (GWAS) meta-analysis results for Hashimoto&#8217;s hypothyroidism. The GWAS were calculated as a case-control analysis using a logistic regression model. The results sets include all genetic variants that passed final quality control filters.<\/div><\/div>\n\n\n\n<p class=\"has-small-font-size wp-block-paragraph\"><strong>Citation for this dataset:<\/strong><br>Bujnis MN, Sterenborg R, Li Y et al. Multi-ancestry GWAS on Hashimoto\u2019s thyroiditis reveals new risk loci and insights into the interplay between the immune system and the thyroid. <em><\/em><\/p>\n\n\n\n<hr class=\"wp-block-separator has-css-opacity\"\/>\n\n\n\n<ul class=\"wp-block-list\">\n<li><a rel=\"noreferrer noopener\" aria-label=\" (opens in a new tab)\" href=\"https:\/\/academic.oup.com\/bioinformaticsadvances\/advance-article\/doi\/10.1093\/bioadv\/vbaf317\/8379820\" target=\"_blank\">Nasr <em>et al.<\/em> 2025 publication<\/a><\/li>\n<\/ul>\n\n\n\n<div class=\"wp-block-columns has-2-columns is-layout-flex wp-container-core-columns-is-layout-8f761849 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<figure class=\"wp-block-table is-style-stripes\"><table><tbody><tr><td><\/td><td><strong>Trait<\/strong><\/td><td><strong>Method<\/strong><\/td><td><strong>MByte<\/strong><\/td><\/tr><tr><td><a href=\"\/gwasresults\/formatted_241118_GOITER_combined_samples.txt.gz\"><i class=\"wp-svg-disk disk\"><\/i><\/a><\/td><td>Goiter risk<\/td><td>2-step imputed GWAS<\/td><td>215<\/td><\/tr><tr><td><a href=\"\/gwasresults\/formatted_241118_GOITER_meta_analysis.txt.gz\"><i class=\"wp-svg-disk disk\"><\/i><\/a><\/td><td>Goiter risk<\/td><td>conventional meta-analysis<\/td><td>185<\/td><\/tr><tr><td><a href=\"\/gwasresults\/formatted_241118_Log_Vol_combined_samples.txt.gz\"><i class=\"wp-svg-disk disk\"><\/i><\/a><\/td><td>Thyroid gland volume<\/td><td>2-step imputed GWAS<\/td><td>207<\/td><\/tr><tr><td><a href=\"\/gwasresults\/formatted_241118_Log_Vol_meta_analysis.txt.gz\"><i class=\"wp-svg-disk disk\"><\/i><\/a><\/td><td>Thyroid gland volume<\/td><td>conventional meta-analysis<\/td><td>145<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<div class=\"su-spoiler su-spoiler-style-fancy su-spoiler-icon-caret-square su-spoiler-closed\" data-scroll-offset=\"0\" data-anchor-in-url=\"no\"><div class=\"su-spoiler-title\" tabindex=\"0\" role=\"button\"><span class=\"su-spoiler-icon\"><\/span>Description of columns<\/div><div class=\"su-spoiler-content su-u-clearfix su-u-trim\">\n<table class=\"wp-block-table is-style-stripes\" style=\"font-size:80%;\">\n<tbody>\n<tr>\n<td>MarkerName<\/td>\n<td>chr:position:type (GRCh build 37)<\/td>\n<\/tr>\n<tr>\n<td>Allele1<\/td>\n<td>coding allele<\/td>\n<\/tr>\n<tr>\n<td>Allele2<\/td>\n<td>noncoding allele<\/td>\n<\/tr>\n<tr>\n<td>Freq1<\/td>\n<td>the frequency of allele1<\/td>\n<\/tr>\n<tr>\n<td>Effect<\/td>\n<td>the association effect of allele 1<\/td>\n<\/tr>\n<tr>\n<td>StdErr<\/td>\n<td>the standard error of the effect<\/td>\n<\/tr>\n<tr>\n<td>P.value<\/td>\n<td>the association p-value<\/td>\n<\/tr>\n<tr>\n<td>N<\/td>\n<td>the total sample size<\/td>\n<\/tr>\n<tr>\n<td>rsid<\/td>\n<td>the RS identifier of the variant (if available)<\/td>\n<\/tr>\n<tr>\n<td>Nearest gene<\/td>\n<td>the name of the nearest gene<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div><\/div>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n<\/div>\n<\/div>\n\n\n<div class=\"su-spoiler su-spoiler-style-fancy su-spoiler-icon-caret-square su-spoiler-closed\" data-scroll-offset=\"0\" data-anchor-in-url=\"no\"><div class=\"su-spoiler-title\" tabindex=\"0\" role=\"button\"><span class=\"su-spoiler-icon\"><\/span>Description of this dataset<\/div><div class=\"su-spoiler-content su-u-clearfix su-u-trim\">The dataset includes the genome-wide association analysis (GWAS) meta-analysis results for goiter risk (linear model) and log-transformed thyroid gland volume (logistic regression model). The results sets include all genetic variants with a minor allele frequency of at least 1%. Variants with an effective sample size below 75% of the total (maximum) sample size were excluded in meta-analysis GWAS result files.<\/div><\/div>\n\n\n\n<p class=\"has-small-font-size wp-block-paragraph\"><strong>Citation for this dataset:<\/strong><br>Nasr MK, K\u00f6nig E, Fuchsberger C, Ghasemi S, V\u00f6lker U, V\u00f6lzke H, Grabe HJ, Teumer A. Removing array-specific batch effects in GWAS mega-analyses by applying a two-step imputation workflow reveals new associations for thyroid volume and goiter. <em>Bioinformatics Advances, vbaf317; doi: https:\/\/doi.org\/10.1093\/bioadv\/vbaf317<\/em><\/p>\n\n\n\n<hr class=\"wp-block-separator has-css-opacity\"\/>\n\n\n\n<ul class=\"wp-block-list\">\n<li><a rel=\"noreferrer noopener\" aria-label=\" (opens in a new tab)\" href=\"https:\/\/www.nature.com\/articles\/s41467-024-44701-9\" target=\"_blank\">Sterenborg <em>et al.<\/em> 2024 publication<\/a><\/li>\n<\/ul>\n\n\n\n<div class=\"wp-block-columns has-2-columns is-layout-flex wp-container-core-columns-is-layout-8f761849 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<figure class=\"wp-block-table is-style-stripes\"><table><tbody><tr><td><\/td><td><strong>Trait<\/strong><\/td><td><strong>Stratum<\/strong><\/td><td><strong>MByte<\/strong><\/td><\/tr><tr><td><a href=\"\/gwasresults\/formatted_invnormTSH_overall_130421_invvar1.txt-QCfiltered_GC.txt.gz\"><i class=\"wp-svg-disk disk\"><\/i><\/a><\/td><td>TSH<\/td><td>overall<\/td><td>180<\/td><\/tr><tr><td><a href=\"\/gwasresults\/formatted_invnormFT4_overall_130421_invvar1.txt-QCfiltered_GC.txt.gz\"><i class=\"wp-svg-disk disk\"><\/i><\/a><\/td><td>FT4<\/td><td>overall<\/td><td>176<\/td><\/tr><tr><td><a href=\"\/gwasresults\/formatted_invnormFT3_overall_130421_invvar1.txt-QCfiltered_GC.txt.gz\"><i class=\"wp-svg-disk disk\"><\/i><\/a><\/td><td>FT3<\/td><td>overall<\/td><td>175<\/td><\/tr><tr><td><a href=\"\/gwasresults\/formatted_invnormTT3_overall_130421_invvar1.txt-QCfiltered_GC.txt.gz\"><i class=\"wp-svg-disk disk\"><\/i><\/a><\/td><td>TT3<\/td><td>overall<\/td><td>174<\/td><\/tr><tr><td><a href=\"\/gwasresults\/formatted_lnFT3_FT4_overall_130421_invvar1.txt-QCfiltered_GC.txt.gz\"><i class=\"wp-svg-disk disk\"><\/i><\/a><\/td><td>FT3\/FT4 ratio<\/td><td>overall<\/td><td>164<\/td><\/tr><tr><td><a href=\"\/gwasresults\/formatted_lnTT3_FT4_overall_130421_invvar1.txt-QCfiltered_GC.txt.gz\"><i class=\"wp-svg-disk disk\"><\/i><\/a><\/td><td>TT3\/FT4 ratio<\/td><td>overall<\/td><td>166<\/td><\/tr><tr><td><a href=\"\/gwasresults\/formatted_decreasedTSH_overall_130421_invvar1.txt-QCfiltered_GC.txt.gz\"><i class=\"wp-svg-disk disk\"><\/i><\/a><\/td><td>low TSH<\/td><td>overall<\/td><td>185<\/td><\/tr><tr><td><a href=\"\/gwasresults\/formatted_increasedTSH_overall_130421_invvar1.txt-QCfiltered_GC.txt.gz\"><i class=\"wp-svg-disk disk\"><\/i><\/a><\/td><td>high TSH<\/td><td>overall<\/td><td>182<\/td><\/tr><tr><td><a href=\"\/gwasresults\/coloc_GWASThyroidfunction.zip\"><i class=\"wp-svg-disk disk\"><\/i><\/a><\/td><td>Colocalization mRNA<\/td><td>complete results<\/td><td>16<\/td><\/tr><tr><td><a href=\"\/gwasresults\/susie_results_plots_combined_GWASThyroidfunction.pdf\"><i class=\"wp-svg-disk disk\"><\/i><\/a><\/td><td>Finemapping plots<\/td><td>SuSiE plots<\/td><td>92<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<div class=\"su-spoiler su-spoiler-style-fancy su-spoiler-icon-caret-square su-spoiler-closed\" data-scroll-offset=\"0\" data-anchor-in-url=\"no\"><div class=\"su-spoiler-title\" tabindex=\"0\" role=\"button\"><span class=\"su-spoiler-icon\"><\/span>Description of columns<\/div><div class=\"su-spoiler-content su-u-clearfix su-u-trim\">\n<table class=\"wp-block-table is-style-stripes\" style=\"font-size:80%;\">\n<tbody>\n<tr>\n<td>MarkerName<\/td>\n<td>chr:position:type (GRCh build 37)<\/td>\n<\/tr>\n<tr>\n<td>Allele1<\/td>\n<td>coding allele<\/td>\n<\/tr>\n<tr>\n<td>Allele2<\/td>\n<td>noncoding allele<\/td>\n<\/tr>\n<tr>\n<td>Freq1<\/td>\n<td>the frequency of allele1<\/td>\n<\/tr>\n<tr>\n<td>Effect<\/td>\n<td>the association effect of allele 1<\/td>\n<\/tr>\n<tr>\n<td>StdErr<\/td>\n<td>the standard error of the effect<\/td>\n<\/tr>\n<tr>\n<td>P.value<\/td>\n<td>the association p-value<\/td>\n<\/tr>\n<tr>\n<td>N<\/td>\n<td>the total sample size<\/td>\n<\/tr>\n<tr>\n<td>I2<\/td>\n<td>the I<sup>2<\/sup> heterogeneity measure<\/td>\n<\/tr>\n<tr>\n<td>rsid<\/td>\n<td>the RS identifier of the variant (if available)<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div><\/div>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n<\/div>\n<\/div>\n\n\n<div class=\"su-spoiler su-spoiler-style-fancy su-spoiler-icon-caret-square su-spoiler-closed\" data-scroll-offset=\"0\" data-anchor-in-url=\"no\"><div class=\"su-spoiler-title\" tabindex=\"0\" role=\"button\"><span class=\"su-spoiler-icon\"><\/span>Description of this dataset<\/div><div class=\"su-spoiler-content su-u-clearfix su-u-trim\">The dataset includes the genome-wide association analysis (GWAS) meta-analysis results for thyrotropin (TSH), free thyroxine (FT4), free T3 (FT3), total T3 (TT3), the FT3\/FT4 ratio, the TT3\/FT4 ratio, high TSH levels, and low TSH levels of a sex-combined dataset. The GWAS on TSH, FT4, FT3 and TT3 were calculated using a linear model after inverse-normal transformation of the thyroid hormone measurements (outcome). The ratios were log-transformed prior to the GWAS. The high\/low TSH GWAS were calculated as a case-control analysis using a logistic regression model. The results sets include all genetic variants that passed final quality control filters. The colocalization results are described in the README included in the zip file.<\/div><\/div>\n\n\n\n<p class=\"has-small-font-size wp-block-paragraph\"><strong>Citation for this dataset:<\/strong><br>Sterenborg R, Steinbrenner I, Li Y, Bujnis MN, Naito T, Marouli E et al. Multi-trait analysis characterizes the genetics of thyroid function and identifies causal associations with clinical implications. <em>Nat Commun. 2024 Jan 30;15(1):888. doi: 10.1038\/s41467-024-44701-9<\/em><\/p>\n\n\n\n<hr class=\"wp-block-separator has-css-opacity\"\/>\n\n\n\n<ul class=\"wp-block-list\">\n<li><a rel=\"noreferrer noopener\" aria-label=\" (opens in a new tab)\" href=\"https:\/\/www.nature.com\/articles\/s41467-018-06356-1\" target=\"_blank\">Teumer <em>et al.<\/em> 2018 publication <\/a><\/li>\n<\/ul>\n\n\n\n<div class=\"wp-block-columns has-2-columns is-layout-flex wp-container-core-columns-is-layout-8f761849 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<figure class=\"wp-block-table is-style-stripes\"><table><tbody><tr><td><\/td><td><strong>Trait<\/strong><\/td><td><strong>Stratum<\/strong><\/td><td><strong>MByte<\/strong><\/td><\/tr><tr><td><a href=\"\/gwasresults\/formatted_invnormTSH_overall_150611_invvar1.txt-QCfiltered_GC.txt.gz\"><i class=\"wp-svg-disk disk\"><\/i><\/a><\/td><td>TSH<\/td><td>overall<\/td><td>116<\/td><\/tr><tr><td><a href=\"\/gwasresults\/formatted_invnormTSH_women_150611_invvar1.txt-QCfiltered_GC.txt.gz\"><i class=\"wp-svg-disk disk\"><\/i><\/a><\/td><td>TSH<\/td><td>women<\/td><td>112<\/td><\/tr><tr><td><a href=\"\/gwasresults\/formatted_invnormTSH_men_150611_invvar1.txt-QCfiltered_GC.txt.gz\"><i class=\"wp-svg-disk disk\"><\/i><\/a><\/td><td>TSH<\/td><td>men<\/td><td>119<\/td><\/tr><tr><td><a href=\"\/gwasresults\/formatted_invnormFT4_overall_150611_invvar1.txt-QCfiltered_GC.txt.gz\"><i class=\"wp-svg-disk disk\"><\/i><\/a><\/td><td>FT4<\/td><td>overall<\/td><td>116<\/td><\/tr><tr><td><a href=\"\/gwasresults\/formatted_invnormFT4_women_150611_invvar1.txt-QCfiltered_GC.txt.gz\"><i class=\"wp-svg-disk disk\"><\/i><\/a><\/td><td>FT4<\/td><td>women<\/td><td>116<\/td><\/tr><tr><td><a href=\"\/gwasresults\/formatted_invnormFT4_men_150611_invvar1.txt-QCfiltered_GC.txt.gz\"><i class=\"wp-svg-disk disk\"><\/i><\/a><\/td><td>FT4<\/td><td>men<\/td><td>119<\/td><\/tr><tr><td><a href=\"\/gwasresults\/formatted_decTSH_overall_150602_invvar1.txt-QCfiltered_GC.txt.gz\"><i class=\"wp-svg-disk disk\"><\/i><\/a><\/td><td>hyperthyroidism<\/td><td> overall <\/td><td>123<\/td><\/tr><tr><td><a href=\"\/gwasresults\/formatted_incTSH_overall_150602_invvar1.txt-QCfiltered_GC.txt.gz\"><i class=\"wp-svg-disk disk\"><\/i><\/a><\/td><td> hypothyroidism <\/td><td> overall <\/td><td>124<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<div class=\"su-spoiler su-spoiler-style-fancy su-spoiler-icon-caret-square su-spoiler-closed\" data-scroll-offset=\"0\" data-anchor-in-url=\"no\"><div class=\"su-spoiler-title\" tabindex=\"0\" role=\"button\"><span class=\"su-spoiler-icon\"><\/span>Description of columns<\/div><div class=\"su-spoiler-content su-u-clearfix su-u-trim\">\n<table class=\"wp-block-table is-style-stripes\" style=\"font-size:80%;\">\n<tbody>\n<tr>\n<td>MarkerName<\/td>\n<td>chr:position:type (GRCh build 37)<\/td>\n<\/tr>\n<tr>\n<td>Allele1<\/td>\n<td>coding allele<\/td>\n<\/tr>\n<tr>\n<td>Allele2<\/td>\n<td>noncoding allele<\/td>\n<\/tr>\n<tr>\n<td>Freq1<\/td>\n<td>the frequency of allele1 from the 1000Gv3 ALL ancestry reference panel<\/td>\n<\/tr>\n<tr>\n<td>Effect<\/td>\n<td>the association effect of allele 1<\/td>\n<\/tr>\n<tr>\n<td>StdErr<\/td>\n<td>the standard error of the effect<\/td>\n<\/tr>\n<tr>\n<td>P.value<\/td>\n<td>the association p-value<\/td>\n<\/tr>\n<tr>\n<td>N<\/td>\n<td>the total sample size<\/td>\n<\/tr>\n<tr>\n<td>I2<\/td>\n<td>the I<sup>2<\/sup> heterogeneity measure<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div><\/div>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n<\/div>\n<\/div>\n\n\n<div class=\"su-spoiler su-spoiler-style-fancy su-spoiler-icon-caret-square su-spoiler-closed\" data-scroll-offset=\"0\" data-anchor-in-url=\"no\"><div class=\"su-spoiler-title\" tabindex=\"0\" role=\"button\"><span class=\"su-spoiler-icon\"><\/span>Description of this dataset<\/div><div class=\"su-spoiler-content su-u-clearfix su-u-trim\">The dataset includes the genome-wide association analysis (GWAS) meta-analysis results of the discovery stage for thyrotropin (TSH), free thyroxine (FT4), increased TSH (hypothyroidism) and decreased TSH (hyperthyroidism) in the corresponding sex-strata. The GWAS on TSH and FT4 were calculated using a linear model after inverse-normal transformation of the thyroid hormone measurements (outcome). The hypo-\/hyperthyroidism GWAS were calculated as a case-control analysis using a logistic regression model. The results sets include all genetic variants that passed final quality control filters, and that were included in the 1000Gv3 ALL ethnicities reference panel.<br \/>\nThese summary statistics can also be obtained through the CHARGE dbGaP website (<a rel=\"noreferrer noopener\" aria-label=\" (opens in a new tab)\" href=\"https:\/\/www.ncbi.nlm.nih.gov\/gap\" target=\"_blank\">https:\/\/www.ncbi.nlm.nih.gov\/gap<\/a>) under accession number <a rel=\"noreferrer noopener\" aria-label=\" (opens in a new tab)\" href=\"https:\/\/www.ncbi.nlm.nih.gov\/gap\/advanced_search\/?term=phs000930\" target=\"_blank\">phs000930<\/a>.<\/div><\/div>\n\n\n\n<p class=\"has-small-font-size wp-block-paragraph\"><strong>Citation for this dataset:<\/strong><br>Teumer A, Chaker L, Groeneweg S, Li Y, Di Munno C, Barbieri C et al. Genome-wide analyses identify a role for SLC17A4 and AADAT in thyroid hormone regulation. <em>Nat Commun. 2018;9: 4455. doi:10.1038\/s41467-018-06356-1<\/em><\/p>\n\n\n\n<hr class=\"wp-block-separator has-css-opacity\"\/>\n\n\n\n<ul class=\"wp-block-list\">\n<li><a rel=\"noreferrer noopener\" aria-label=\" (opens in a new tab)\" href=\"https:\/\/journals.plos.org\/plosgenetics\/article?id=10.1371\/journal.pgen.1004123\" target=\"_blank\">Medici <em>et al.<\/em> 2014 publication<\/a><\/li>\n<\/ul>\n\n\n\n<div class=\"wp-block-columns has-2-columns is-layout-flex wp-container-core-columns-is-layout-8f761849 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<figure class=\"wp-block-table is-style-stripes\"><table><tbody><tr><td><\/td><td><strong>Trait<\/strong><\/td><td><strong>Analysis<\/strong><\/td><td><strong>MByte<\/strong><\/td><\/tr><tr><td><a href=\"\/gwasresults\/TPOabGWAS_2014-casecontrol.txt.gz\"><i class=\"wp-svg-disk disk\"><\/i><\/a><\/td><td>TPOAb-positivity<\/td><td>case-control analysis<\/td><td>52<\/td><\/tr><tr><td><a href=\"\/gwasresults\/TPOabGWAS_2014-linear.txt.gz\"><i class=\"wp-svg-disk disk\"><\/i><\/a><\/td><td>TPOAb levels<\/td><td>continuous trait<\/td><td>50<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<div class=\"su-spoiler su-spoiler-style-fancy su-spoiler-icon-caret-square su-spoiler-closed\" data-scroll-offset=\"0\" data-anchor-in-url=\"no\"><div class=\"su-spoiler-title\" tabindex=\"0\" role=\"button\"><span class=\"su-spoiler-icon\"><\/span>Description of columns<\/div><div class=\"su-spoiler-content su-u-clearfix su-u-trim\">\n<table class=\"wp-block-table is-style-stripes\" style=\"font-size:80%;\">\n<tbody>\n<tr>\n<td>SNPID<\/td>\n<td>rs number<\/td>\n<\/tr>\n<tr>\n<td>chromosome<\/td>\n<td>chromosome<\/td>\n<\/tr>\n<tr>\n<td>position<\/td>\n<td>position (NCBI build 36)<\/td>\n<\/tr>\n<tr>\n<td>p_zscoreMeta<\/td>\n<td>p-value of the sample-size weighted meta-analysis (used as primary results in the publication)<\/td>\n<\/tr>\n<tr>\n<td>Allele1<\/td>\n<td>coding allele<\/td>\n<\/tr>\n<tr>\n<td>Allele2<\/td>\n<td>noncoding allele<\/td>\n<\/tr>\n<tr>\n<td>Effect<\/td>\n<td>the association effect of allele 1<\/td>\n<\/tr>\n<tr>\n<td>StdErr<\/td>\n<td>the standard error of the effect<\/td>\n<\/tr>\n<tr>\n<td>P.value<\/td>\n<td>p-value of the inverse-variance weighted meta-analysis<\/td>\n<\/tr>\n<tr>\n<td>I2<\/td>\n<td>the I<sup>2<\/sup> heterogeneity measure<\/td>\n<\/tr>\n<tr>\n<td>N<\/td>\n<td>the total sample size<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div><\/div>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n<\/div>\n<\/div>\n\n\n<div class=\"su-spoiler su-spoiler-style-fancy su-spoiler-icon-caret-square su-spoiler-closed\" data-scroll-offset=\"0\" data-anchor-in-url=\"no\"><div class=\"su-spoiler-title\" tabindex=\"0\" role=\"button\"><span class=\"su-spoiler-icon\"><\/span>Description of this dataset<\/div><div class=\"su-spoiler-content su-u-clearfix su-u-trim\">The dataset includes the genome-wide association analysis (GWAS) meta-analysis results of the discovery stage for Thyroid Peroxidase Antibodies (TPOAb).<br \/>\nThe GWAS on continuous TPOAb levels were calculated using a linear model, the TPOAb-positivity as a case-control analysis using a logistic regression.<br \/>\nThe z-score based p-values (p_zscoreMeta) were used as primary results in the publication because of the assay heterogeneity, where the remaining results were only calculated to get a rough estimation of the effect sizes.<br \/>\n<\/div><\/div>\n\n\n\n<p class=\"has-small-font-size wp-block-paragraph\"><strong>Citation for this dataset:<\/strong><br>Medici M, Porcu E, Pistis G, Teumer A, Brown SJ et al. Identification of novel genetic Loci associated with thyroid peroxidase antibodies and clinical thyroid disease. <em>PLoS Genet. 2014;10(2):e1004123. doi: 10.1371\/journal.pgen.1004123<\/em><\/p>\n","protected":false},"excerpt":{"rendered":"<p>GWAS meta-analysis summary statistics for download By downloading the data you agree to use the data for scientific purposes only, and you do not attempt to re-identify individual participants included in the summary statistics. Furthermore, you are not allowed to redistribute the downloaded files or to upload them into a public repository. The download will &hellip; <\/p>\n<p class=\"link-more\"><a href=\"https:\/\/genepi.med.uni-greifswald.de\/thyroidomics\/datasets\/\" class=\"more-link\">Continue reading<span class=\"screen-reader-text\"> &#8220;Datasets&#8221;<\/span><\/a><\/p>\n","protected":false},"author":2,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-297","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/genepi.med.uni-greifswald.de\/thyroidomics\/wp-json\/wp\/v2\/pages\/297","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/genepi.med.uni-greifswald.de\/thyroidomics\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/genepi.med.uni-greifswald.de\/thyroidomics\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/genepi.med.uni-greifswald.de\/thyroidomics\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/genepi.med.uni-greifswald.de\/thyroidomics\/wp-json\/wp\/v2\/comments?post=297"}],"version-history":[{"count":61,"href":"https:\/\/genepi.med.uni-greifswald.de\/thyroidomics\/wp-json\/wp\/v2\/pages\/297\/revisions"}],"predecessor-version":[{"id":444,"href":"https:\/\/genepi.med.uni-greifswald.de\/thyroidomics\/wp-json\/wp\/v2\/pages\/297\/revisions\/444"}],"wp:attachment":[{"href":"https:\/\/genepi.med.uni-greifswald.de\/thyroidomics\/wp-json\/wp\/v2\/media?parent=297"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}