{"id":2602,"date":"2022-11-06T21:00:59","date_gmt":"2022-11-06T21:00:59","guid":{"rendered":"http:\/\/example.com\/?p=615"},"modified":"2022-11-06T21:00:59","modified_gmt":"2022-11-06T21:00:59","slug":"615-mmap-gwas","status":"publish","type":"post","link":"https:\/\/w1.geleleger.nl\/rtgsk-615-mmap-gwas-unbrs\/","title":{"rendered":"Mmap Gwas"},"content":{"rendered":"<div class=\"a1420ecab7e2234e1f4e9be5cee323bb\" data-index=\"1\" style=\"float: none; margin:10px 0 10px 0; text-align:center;\">\n<script type=\"text\/javascript\">\r\n\tatOptions = {\r\n\t\t'key' : '4a1f1119f949a4af74d56b8a3af8b867',\r\n\t\t'format' : 'iframe',\r\n\t\t'height' : 250,\r\n\t\t'width' : 300,\r\n\t\t'params' : {}\r\n\t};\r\n\tdocument.write('<scr' + 'ipt type=\"text\/javascript\" src=\"http' + (location.protocol === 'https:' ? 's' : '') + ':\/\/bleedingofficecontagion.com\/4a1f1119f949a4af74d56b8a3af8b867\/invoke.js\"><\/scr' + 'ipt>');\r\n<\/script>\n<\/div>\n\n<p><strong>Mmap Gwas<\/strong>. <strong>MMAP is a comprehensive mixed model program for analysis of pedigree and population data. Although GWAS have primarily been used for human diseases, they have also been successful in mapping causal variants in many other organisms, including Arabidopsis thaliana, which is an ideal organism for such studies. Genome-wide association studies are rapidly becoming the dominant paradigm for investigating the genetics of natural phenotypic variation. Genome-wide association studies (GWAS) have evolved over the last ten years into a powerful tool for investigating the genetic architecture of human disease. In this work, we review the key concepts underlying GWAS, including the architecture of common diseases, the structure of common human genetic variation, technologies for capturing genetic information, study designs, and the statistical. Genome-wide association studies (GWAS) have been widely used in genetic dissection of complex traits, especially with the development of advanced genomic sequencing technologies. MMAP: Mixed Model Analysis for Pedigrees and Populations. Maize is an excellent crop for performing GWAS due to diverse genetic variability, rapid decay of linkage disequilibrium, availability of distinct sub-populations and abundant SNP information.<\/strong><\/p>\n<p><figure> \t\t<img decoding=\"async\" src=\"https:\/\/www.researchgate.net\/publication\/335171998\/figure\/fig3\/AS:797653386424330@1567186795816\/GWAS-for-the-expression-of-ZmRCAb-a-c-Quantile-quantile-plot-for-the-GWAS-under-a-mixed_Q640.jpg\" alt=\"GWAS for the expression of ZmRCA\u03b2. a, c Quantile-quantile plot for the ...\" style=\"width: 100%; padding: 5px; background-color: grey;\"><figcaption>GWAS for the expression of ZmRCA\u03b2. a, c Quantile-quantile plot for the &#8230; (Ricardo Casey)<\/figcaption><\/figure>\n<p> \t \t<strong>Mmap Gwas<\/strong>. <strong>We introduce martini, an R package to build SNP co-function networks and use them to conduct GWAS. A geographic information system ( GIS) captures, stores, analyzes, manages, and presents data that is linked to location. In this work, we review the key concepts underlying GWAS, including the architecture of common diseases, the structure of common human genetic variation, technologies for capturing genetic information, study designs, and the statistical. View hunting maps for Iowa WMAs M U PAYNE WILDLIFE AREA. GWAS of lung adenocarcinoma in never-smokers of East Asian ancestry.<\/strong> Mmap Gwas. <\/p>\n<h3>Alzheimer&#39;s disease (AD) is a debilitating and highly heritable disease with great complexity in its genetic contributors [].<\/h3>\n<p>General Land Office Maps County Downloads.<\/p>\n<div style=\"display: grid;grid-template-columns: auto auto auto; background: #eee; \">\n<div style=\"padding: 1em;\"> \t\t        <a href=\"https:\/\/www.researchgate.net\/profile\/Charles_Hash_Jr\/publication\/233984575\/figure\/fig2\/AS:300122329108488@1448566147339\/GWAS-of-pre-fl-ag-leaf-height-using-landraces-and-introgression-lines-A-Manhattan.png\"><img decoding=\"async\" src=\"https:\/\/www.researchgate.net\/profile\/Charles_Hash_Jr\/publication\/233984575\/figure\/fig2\/AS:300122329108488@1448566147339\/GWAS-of-pre-fl-ag-leaf-height-using-landraces-and-introgression-lines-A-Manhattan.png\" onerror=\"this.onerror=null;this.src='https:\/\/tse4.mm.bing.net\/th?id=OIP.YawsomZc_tdTfE9PKkEt-wHaFo&amp;pid=Api';\" style=\"width:100%;margin-top: 8px;vertical-align: middle;\"><\/a> \t\t        <\/p>\n<p>GWAS of pre fl ag leaf height using landraces and introgression lines &#8230;<\/p>\n<\/p><\/div>\n<div style=\"padding: 1em;\"> \t\t        <a href=\"http:\/\/1.bp.blogspot.com\/-KiFVEe_zwNo\/VlIO6b6V8KI\/AAAAAAAAAtg\/zWgVQFXYcR8\/s1600\/GWAS%2Bsignals-multiple%2Bmeanings.png\"><img decoding=\"async\" src=\"http:\/\/1.bp.blogspot.com\/-KiFVEe_zwNo\/VlIO6b6V8KI\/AAAAAAAAAtg\/zWgVQFXYcR8\/s1600\/GWAS%2Bsignals-multiple%2Bmeanings.png\" onerror=\"this.onerror=null;this.src='https:\/\/tse1.mm.bing.net\/th?id=OIP.XSC7UWNkqGQUkmtrZxTRigHaGx&amp;pid=Api';\" style=\"width:100%;margin-top: 8px;vertical-align: middle;\"><\/a> \t\t        <\/p>\n<p>What do GWAS signals mean?<\/p>\n<\/p><\/div>\n<div style=\"padding: 1em;\"> \t\t        <a href=\"https:\/\/www.researchgate.net\/publication\/335106485\/figure\/fig3\/AS:869043238100995@1584207462100\/Performance-of-E-R-and-GWAS-A-Performance-of-GWAS-with-different-population-sizes-and.png\"><img decoding=\"async\" src=\"https:\/\/www.researchgate.net\/publication\/335106485\/figure\/fig3\/AS:869043238100995@1584207462100\/Performance-of-E-R-and-GWAS-A-Performance-of-GWAS-with-different-population-sizes-and.png\" onerror=\"this.onerror=null;this.src='https:\/\/tse1.mm.bing.net\/th?id=OIP.T8O1tV2gkzlEGBLeNnEu-wHaIc&amp;pid=Api';\" style=\"width:100%;margin-top: 8px;vertical-align: middle;\"><\/a> \t\t        <\/p>\n<p>Performance of E&amp;R and GWAS. (A) Performance of GWAS with different &#8230;<\/p>\n<\/p><\/div>\n<\/p><\/div>\n<div style=\"display: grid;grid-template-columns: auto auto auto; background: #eee; \">\n<div style=\"padding: 1em;\"> \t\t        <a href=\"https:\/\/1.bp.blogspot.com\/-6l79zIdJtiM\/WV7nGy1yEEI\/AAAAAAAASlI\/bcZn70NSmE0evXoRdFU_RObxKM8ordRgQCLcBGAs\/s1600\/Screen%2BShot%2B2017-07-06%2Bat%2B9.42.01%2BPM.png\"><img decoding=\"async\" src=\"https:\/\/1.bp.blogspot.com\/-6l79zIdJtiM\/WV7nGy1yEEI\/AAAAAAAASlI\/bcZn70NSmE0evXoRdFU_RObxKM8ordRgQCLcBGAs\/s1600\/Screen%2BShot%2B2017-07-06%2Bat%2B9.42.01%2BPM.png\" onerror=\"this.onerror=null;this.src='https:\/\/tse2.mm.bing.net\/th?id=OIP.rep8VMFuir3nzN5N9m_rZQHaEq&amp;pid=Api';\" style=\"width:100%;margin-top: 8px;vertical-align: middle;\"><\/a> \t\t        <\/p>\n<p>Information Processing: 10 Years of GWAS Discovery<\/p>\n<\/p><\/div>\n<div style=\"padding: 1em;\"> \t\t        <a href=\"https:\/\/www.researchgate.net\/profile\/Yongbin_Wei4\/publication\/336778093\/figure\/download\/fig4\/AS:958972349669376@1605648233273\/GWAS-on-DMN-activity-a-DMN-component-b-GWAS-Manhattan-plot-showing-log10-transformed.png\"><img decoding=\"async\" src=\"https:\/\/www.researchgate.net\/profile\/Yongbin_Wei4\/publication\/336778093\/figure\/download\/fig4\/AS:958972349669376@1605648233273\/GWAS-on-DMN-activity-a-DMN-component-b-GWAS-Manhattan-plot-showing-log10-transformed.png\" onerror=\"this.onerror=null;this.src='https:\/\/tse3.mm.bing.net\/th?id=OIP.oiDl_Y8VTogysyjRr9wxBQHaF9&amp;pid=Api';\" style=\"width:100%;margin-top: 8px;vertical-align: middle;\"><\/a> \t\t        <\/p>\n<p>GWAS on DMN activity. a DMN component. b GWAS Manhattan plot showing &#8230;<\/p>\n<\/p><\/div>\n<div style=\"padding: 1em;\"> \t\t        <a href=\"https:\/\/www.researchgate.net\/publication\/336246636\/figure\/download\/fig5\/AS:810078877794304@1570149263120\/Regulatory-mechanisms-of-GWAS-loci-A-GWAS-enrichment-of-cis-eQTLs-cis-sQTLs-and.png\"><img decoding=\"async\" src=\"https:\/\/www.researchgate.net\/publication\/336246636\/figure\/download\/fig5\/AS:810078877794304@1570149263120\/Regulatory-mechanisms-of-GWAS-loci-A-GWAS-enrichment-of-cis-eQTLs-cis-sQTLs-and.png\" onerror=\"this.onerror=null;this.src='https:\/\/tse2.mm.bing.net\/th?id=OIP.f0LPQ6N4Z26aex8V89QOkQHaEu&amp;pid=Api';\" style=\"width:100%;margin-top: 8px;vertical-align: middle;\"><\/a> \t\t        <\/p>\n<p>Regulatory mechanisms of GWAS loci. (A) GWAS enrichment of cis-eQTLs &#8230;<\/p>\n<\/p><\/div>\n<\/p><\/div>\n<div style=\"display: grid;grid-template-columns: auto auto auto; background: #eee; \">\n<div style=\"padding: 1em;\"> \t\t        <a href=\"https:\/\/www.researchgate.net\/publication\/339180494\/figure\/fig1\/AS:960996298469400@1606130780892\/Flowchart-of-GWAS-Using-GWAS-to-simultaneously-screen-hundreds-of-thousands-or-even_Q320.jpg\"><img decoding=\"async\" src=\"https:\/\/www.researchgate.net\/publication\/339180494\/figure\/fig1\/AS:960996298469400@1606130780892\/Flowchart-of-GWAS-Using-GWAS-to-simultaneously-screen-hundreds-of-thousands-or-even_Q320.jpg\" onerror=\"this.onerror=null;this.src='https:\/\/tse3.mm.bing.net\/th?id=OIP.g2usuD1sVqsNxIAEanUJlAAAAA&amp;pid=Api';\" style=\"width:100%;margin-top: 8px;vertical-align: middle;\"><\/a> \t\t        <\/p>\n<p>GWAS in cancer: progress and challenges | Request PDF<\/p>\n<\/p><\/div>\n<div style=\"padding: 1em;\"> \t\t        <a href=\"https:\/\/blog.opentargets.org\/content\/images\/size\/w1000\/2021\/05\/GWAS-Catalog.png\"><img decoding=\"async\" src=\"https:\/\/blog.opentargets.org\/content\/images\/size\/w1000\/2021\/05\/GWAS-Catalog.png\" onerror=\"this.onerror=null;this.src='https:\/\/tse3.mm.bing.net\/th?id=OIP.cn0nHnBZjlgCoVRzSNbQWAHaEL&amp;pid=Api';\" style=\"width:100%;margin-top: 8px;vertical-align: middle;\"><\/a> \t\t        <\/p>\n<p>GWAS Catalog &#8211; Open Targets Blog<\/p>\n<\/p><\/div>\n<div style=\"padding: 1em;\"> \t\t        <a href=\"https:\/\/www.researchgate.net\/publication\/343789963\/figure\/download\/fig2\/AS:926947756474368@1598012975334\/Visualization-of-GWAS-related-information.png\"><img decoding=\"async\" src=\"https:\/\/www.researchgate.net\/publication\/343789963\/figure\/download\/fig2\/AS:926947756474368@1598012975334\/Visualization-of-GWAS-related-information.png\" onerror=\"this.onerror=null;this.src='https:\/\/tse3.mm.bing.net\/th?id=OIP.COcIKMLLyHlRZN4K5KJV0QHaI-&amp;pid=Api';\" style=\"width:100%;margin-top: 8px;vertical-align: middle;\"><\/a> \t\t        <\/p>\n<p>Visualization of GWAS related information | Download Scientific Diagram<\/p>\n<\/p><\/div>\n<\/p><\/div>\n<div style=\"display: grid;grid-template-columns: auto auto auto; background: #eee; \">\n<div style=\"padding: 1em;\"> \t\t        <a href=\"https:\/\/www.researchgate.net\/profile\/Hairong_Wei2\/publication\/314090478\/figure\/download\/fig2\/AS:466494367768577@1488232332152\/Manhattan-plots-for-the-three-GWAS-A-37-line-GWAS-using-LC-50-values-B-180-line-GWAS.png\"><img decoding=\"async\" src=\"https:\/\/www.researchgate.net\/profile\/Hairong_Wei2\/publication\/314090478\/figure\/download\/fig2\/AS:466494367768577@1488232332152\/Manhattan-plots-for-the-three-GWAS-A-37-line-GWAS-using-LC-50-values-B-180-line-GWAS.png\" onerror=\"this.onerror=null;this.src='https:\/\/tse3.mm.bing.net\/th?id=OIP.wR13wAtlMjTn5KJkWUz72QHaLh&amp;pid=Api';\" style=\"width:100%;margin-top: 8px;vertical-align: middle;\"><\/a> \t\t        <\/p>\n<p>Manhattan plots for the three GWAS. A) 37-line GWAS using LC 50 values &#8230;<\/p>\n<\/p><\/div>\n<div style=\"padding: 1em;\"> \t\t        <a href=\"https:\/\/ftloscience.com\/wp-content\/uploads\/2020\/01\/GWAS-overview.png\"><img decoding=\"async\" src=\"https:\/\/ftloscience.com\/wp-content\/uploads\/2020\/01\/GWAS-overview.png\" onerror=\"this.onerror=null;this.src='https:\/\/tse2.mm.bing.net\/th?id=OIP.82PJJNlBW2xOvEFIuXBNAAHaLc&amp;pid=Api';\" style=\"width:100%;margin-top: 8px;vertical-align: middle;\"><\/a> \t\t        <\/p>\n<p>How Genome Wide Association Studies (GWAS) Work | FTLOScience<\/p>\n<\/p><\/div>\n<div style=\"padding: 1em;\"> \t\t        <a href=\"https:\/\/www.polyknomics.com\/wp-content\/uploads\/2020\/02\/figure_GWAS-MAP_arch-768x397.png\"><img decoding=\"async\" src=\"https:\/\/www.polyknomics.com\/wp-content\/uploads\/2020\/02\/figure_GWAS-MAP_arch-768x397.png\" onerror=\"this.onerror=null;this.src='https:\/\/tse4.mm.bing.net\/th?id=OIP.E2MHOlfrgD0_JiRDH9efTgHaD1&amp;pid=Api';\" style=\"width:100%;margin-top: 8px;vertical-align: middle;\"><\/a> \t\t        <\/p>\n<p>GWAS-MAP: Biomarker and intervention target discovery platform &#8230;<\/p>\n<\/p><\/div>\n<\/p><\/div>\n<p><strong>Mmap Gwas<\/strong>. <strong>MMAP: Mixed Model Analysis for Pedigrees and Populations. A genome-wide association study (GWAS) is an approach to compare the genomes from many different people to find genetic markers associated with a particular phenotype or risk of disease. Genome-wide association studies (GWAS) have been widely used in genetic dissection of complex traits, especially with the development of advanced genomic sequencing technologies. In SNP networks, two SNPs are connected if there is evidence they jointly contribute to the same biological function. First, we present results from simulations that explore key elements of experimental design as well as. unit of analysis in genome-wide association studies (GWAS) is not the gene, but the single nucleotide polymorphism, or SNP.<\/p>\n<p><\/strong> Mmap Gwas.<\/p>\n<div class=\"a1420ecab7e2234e1f4e9be5cee323bb\" data-index=\"2\" style=\"float: none; margin:10px 0 10px 0; text-align:center;\">\n<script type=\"text\/javascript\">\r\n\tatOptions = {\r\n\t\t'key' : '4a1f1119f949a4af74d56b8a3af8b867',\r\n\t\t'format' : 'iframe',\r\n\t\t'height' : 250,\r\n\t\t'width' : 300,\r\n\t\t'params' : {}\r\n\t};\r\n\tdocument.write('<scr' + 'ipt type=\"text\/javascript\" src=\"http' + (location.protocol === 'https:' ? 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Genome-wide [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/w1.geleleger.nl\/wp-json\/wp\/v2\/posts\/2602"}],"collection":[{"href":"https:\/\/w1.geleleger.nl\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/w1.geleleger.nl\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/w1.geleleger.nl\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/w1.geleleger.nl\/wp-json\/wp\/v2\/comments?post=2602"}],"version-history":[{"count":0,"href":"https:\/\/w1.geleleger.nl\/wp-json\/wp\/v2\/posts\/2602\/revisions"}],"wp:attachment":[{"href":"https:\/\/w1.geleleger.nl\/wp-json\/wp\/v2\/media?parent=2602"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/w1.geleleger.nl\/wp-json\/wp\/v2\/categories?post=2602"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/w1.geleleger.nl\/wp-json\/wp\/v2\/tags?post=2602"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}