{"id":87,"date":"2015-10-22T10:56:28","date_gmt":"2015-10-22T17:56:28","guid":{"rendered":"http:\/\/www.enlis.com\/blog\/?p=87"},"modified":"2015-10-22T15:59:32","modified_gmt":"2015-10-22T22:59:32","slug":"which-consumer-genome-service-has-the-most-health-information","status":"publish","type":"post","link":"http:\/\/www.enlis.com\/blog\/2015\/10\/22\/which-consumer-genome-service-has-the-most-health-information\/","title":{"rendered":"Which consumer genome service has the most health information?"},"content":{"rendered":"<p>There are several companies that offer a consumer genome test to analyze your ancestry, and some cases, health traits as well.\u00c2\u00a0 These include 23andMe, Ancestry.com, and FTDNA.com.<\/p>\n<p>Each of these companies allows you to download the raw data from the genome test.\u00c2\u00a0 You can use this raw data to analyze health information with third-party software, like <a href=\"https:\/\/www.enlis.com\/personal_edition.html\" target=\"_blank\">Enlis Genome Personal<\/a>.<\/p>\n<h3>Which company has the most health information in their raw data?\u00c2\u00a0 Let&#8217;s find out!<\/h3>\n<p><em>Note:\u00c2\u00a0 23andMe recently revamped their online service, but in the documentation, they state that the genotyping chip has not changed.\u00c2\u00a0 The v4 chip, launched in December\u00c2\u00a02013, is still being used.<\/em><\/p>\n<hr \/>\n<p>&nbsp;<\/p>\n<p>We used the <a href=\"https:\/\/www.enlis.com\/import\/\" target=\"_blank\">Enlis import website<\/a> to import recent raw genome data from each of 23andMe, Ancestry.com, and FTDNA.com.\u00c2\u00a0 A PDF summary report is generated for each genome, and delivered by email.\u00c2\u00a0 This summary report includes a section that describes how many disease or trait positions were successfully sequenced. (Known Phenotype Summary)\u00c2\u00a0 <a href=\"https:\/\/s3.amazonaws.com\/enlissupportfiles\/samplereports\/Greg_Mendel_summary.pdf\" target=\"_blank\">(See an example report here)<\/a><\/p>\n<p>Our current database contains 42,032 genome positions linked to a disease or trait.<\/p>\n<p>The results from each company are as follows:<\/p>\n<table style=\"width: 100%; border: 1px solid #999;\">\n<tbody>\n<tr>\n<td style=\"border: 1px solid #999;\"><\/td>\n<td style=\"border: 1px solid #999; text-align: center;\"><strong>23andMe.com (v4)<br \/>\n<\/strong><\/td>\n<td style=\"border: 1px solid #999; text-align: center;\"><strong>Ancestry.com<\/strong><\/td>\n<td style=\"border: 1px solid #999; text-align: center;\"><strong>FTDNA.com<\/strong><\/td>\n<\/tr>\n<tr>\n<td style=\"border: 1px solid #999;\">Disease or trait positions successfully sequenced<\/td>\n<td style=\"border: 1px solid #999; text-align: center;\"><img loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-88 aligncenter\" src=\"http:\/\/www.enlis.com\/blog\/wp-content\/uploads\/2015\/10\/23andmeV4.png\" alt=\"23andmeV4\" width=\"145\" height=\"145\" \/><span style=\"color: green;\">13,537 (32.2%)<\/span><\/td>\n<td style=\"border: 1px solid #999; text-align: center;\"><span style=\"color: green;\"><img loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-89 aligncenter\" src=\"http:\/\/www.enlis.com\/blog\/wp-content\/uploads\/2015\/10\/ancestryCov.png\" alt=\"ancestryCov\" width=\"145\" height=\"145\" \/>417 (1.0%)<\/span><\/td>\n<td style=\"border: 1px solid #999; text-align: center;\"><span style=\"color: green;\"><img loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-90 aligncenter\" src=\"http:\/\/www.enlis.com\/blog\/wp-content\/uploads\/2015\/10\/ftdnaCov.png\" alt=\"ftdnaCov\" width=\"145\" height=\"145\" \/>472 (1.1%)<\/span><\/td>\n<\/tr>\n<tr>\n<td style=\"border: 1px solid #999;\">Missing data positions<\/td>\n<td style=\"border: 1px solid #999; text-align: center;\"><span style=\"color: #333333;\">28,495 (67.8%)<\/span><\/td>\n<td style=\"border: 1px solid #999; text-align: center;\"><span style=\"color: #333333;\">41,615 (99.0%)<\/span><\/td>\n<td style=\"border: 1px solid #999; text-align: center;\"><span style=\"color: #333333;\">41,560 (98.9%)<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>&nbsp;<\/p>\n<p>There is one clear winner here!\u00c2\u00a0 23andMe&#8217;s raw data has by far the most disease and trait information.\u00c2\u00a0 When 23andMe designed their genotyping chip, they focused on adding SNPs that are already known to be involved in health.\u00c2\u00a0 <a href=\"https:\/\/s3.amazonaws.com\/enlissupportfiles\/samplereports\/23andMe_phenotypes_all.txt\" target=\"_blank\">Here is a complete list<\/a> of the diseases and traits found in 23andMe&#8217;s raw data.<\/p>\n<p>&nbsp;<\/p>\n<p><strong>Comparing 23andMe chip versions<\/strong><\/p>\n<p>23andMe has revised their genotyping chips several times over the past few years.\u00c2\u00a0 Here we compare version 2, version 3, and the most recent, version 4.<\/p>\n<table style=\"width: 100%; border: 1px solid #999;\">\n<tbody>\n<tr>\n<td style=\"border: 1px solid #999;\"><\/td>\n<td style=\"border: 1px solid #999; text-align: center;\"><strong>23andMe.com (v2)<br \/>\n<\/strong><\/td>\n<td style=\"border: 1px solid #999; text-align: center;\"><strong>23andMe.com (v3)<\/strong><\/td>\n<td style=\"border: 1px solid #999; text-align: center;\"><strong>23andMe.com (v4)<\/strong><\/td>\n<\/tr>\n<tr>\n<td style=\"border: 1px solid #999;\">Number of SNPs on chip<\/td>\n<td style=\"border: 1px solid #999; text-align: center;\">~576,000<\/td>\n<td style=\"border: 1px solid #999; text-align: center;\">~967,000<\/td>\n<td style=\"border: 1px solid #999; text-align: center;\">~602,000<\/td>\n<\/tr>\n<tr>\n<td style=\"border: 1px solid #999;\">Disease or trait positions successfully sequenced<\/td>\n<td style=\"border: 1px solid #999; text-align: center;\"><img loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-91 aligncenter\" src=\"http:\/\/www.enlis.com\/blog\/wp-content\/uploads\/2015\/10\/23andmeV2.png\" alt=\"23andmeV2\" width=\"145\" height=\"145\" \/><span style=\"color: green;\">2,157 (5.1%)<\/span><\/td>\n<td style=\"border: 1px solid #999; text-align: center;\"><img loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-92 aligncenter\" src=\"http:\/\/www.enlis.com\/blog\/wp-content\/uploads\/2015\/10\/23andmeV3.png\" alt=\"23andmeV3\" width=\"145\" height=\"145\" \/><span style=\"color: green;\">10,101 (24.0%)<\/span><\/td>\n<td style=\"border: 1px solid #999; text-align: center;\"><img loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-90 aligncenter\" src=\"http:\/\/www.enlis.com\/blog\/wp-content\/uploads\/2015\/10\/23andmeV4.png\" alt=\"23andmeV4\" width=\"145\" height=\"145\" \/><span style=\"color: green;\">13,537 (32.2%)<\/span><\/td>\n<\/tr>\n<tr>\n<td style=\"border: 1px solid #999;\">Missing data positions<\/td>\n<td style=\"border: 1px solid #999; text-align: center;\"><span style=\"color: #333333;\">39,875 (94.9%)<\/span><\/td>\n<td style=\"border: 1px solid #999; text-align: center;\"><span style=\"color: #333333;\">31,931 (76.0%)<\/span><\/td>\n<td style=\"border: 1px solid #999; text-align: center;\"><span style=\"color: #333333;\">28,495 (67.8%)<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>&nbsp;<\/p>\n<p>With every version, 23andMe is adding more disease and trait SNPs.\u00c2\u00a0 It&#8217;s interesting to note that although the v4 chip tested fewer SNPs overall (compared to v3), it did increase the number of disease and trait SNPs tested.<\/p>\n<p>&nbsp;<\/p>\n<p><strong>Comparing 23andMe to next-generation sequencing<\/strong><\/p>\n<p>23andMe&#8217;s genotyping service doesn&#8217;t sequence your entire genome, only very select parts of the genome.\u00c2\u00a0 With the newer next-generation sequencing technology, we can get exome or whole genome data.\u00c2\u00a0 Exome data includes only about 3% of the entire genome, but it&#8217;s the part that we know the most about, and the part that many suspect is the most important.\u00c2\u00a0 So how does 23andMe compare to exome or whole genome data?<\/p>\n<p>&nbsp;<\/p>\n<table style=\"width: 100%; border: 1px solid #999;\">\n<tbody>\n<tr>\n<td style=\"border: 1px solid #999;\"><\/td>\n<td style=\"border: 1px solid #999; text-align: center;\"><strong>23andMe.com (v4)<br \/>\n<\/strong><\/td>\n<td style=\"border: 1px solid #999; text-align: center;\"><strong>Exome<\/strong><\/td>\n<td style=\"border: 1px solid #999; text-align: center;\"><strong>Whole genome<\/strong><\/td>\n<\/tr>\n<tr>\n<td style=\"border: 1px solid #999;\">Percent of genome sequenced<\/td>\n<td style=\"border: 1px solid #999; text-align: center;\">0.02%<\/td>\n<td style=\"border: 1px solid #999; text-align: center;\">3-5%<\/td>\n<td style=\"border: 1px solid #999; text-align: center;\">90-95%<\/td>\n<\/tr>\n<tr>\n<td style=\"border: 1px solid #999;\">Disease or trait positions successfully sequenced<\/td>\n<td style=\"border: 1px solid #999; text-align: center;\"><img loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-90 aligncenter\" src=\"http:\/\/www.enlis.com\/blog\/wp-content\/uploads\/2015\/10\/23andmeV4.png\" alt=\"23andmeV4\" width=\"145\" height=\"145\" \/><span style=\"color: green;\">13,537 (32.2%)<\/span><\/td>\n<td style=\"border: 1px solid #999; text-align: center;\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-93\" src=\"http:\/\/www.enlis.com\/blog\/wp-content\/uploads\/2015\/10\/exomeCov.png\" alt=\"exomeCov\" width=\"145\" height=\"145\" \/><span style=\"color: green;\">40,405 (96.1%)<\/span><\/td>\n<td style=\"border: 1px solid #999; text-align: center;\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-94\" src=\"http:\/\/www.enlis.com\/blog\/wp-content\/uploads\/2015\/10\/wholegenomeCov.png\" alt=\"wholegenomeCov\" width=\"145\" height=\"145\" \/><span style=\"color: green;\">40,979 (97.5%)<\/span><\/td>\n<\/tr>\n<tr>\n<td style=\"border: 1px solid #999;\">Missing data positions<\/td>\n<td style=\"border: 1px solid #999; text-align: center;\"><span style=\"color: #333333;\">28,495 (67.8%)<\/span><\/td>\n<td style=\"border: 1px solid #999; text-align: center;\"><span style=\"color: #333333;\">1,627 (3.9%)<\/span><\/td>\n<td style=\"border: 1px solid #999; text-align: center;\"><span style=\"color: #333333;\">1,053 (2.5%)<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>&nbsp;<\/p>\n<p>Next-generation sequencing data has a large advantage over 23andMe data and this gap will only widen as we learn more about the human genome.<\/p>\n<p>Recommendations:<\/p>\n<ul>\n<li>\u00c2\u00a0If you are only interested in ancestry information, any of the 3 consumer services above will do.<\/li>\n<li>\u00c2\u00a0If you want ancestry information with some additional health information, 23andMe is the best.<\/li>\n<li>\u00c2\u00a0If you are most interested in known health information, or are looking for a unknown cause of a disease or trait, an exome is the most cost effective solution, while a whole genome sequence is the most comprehensive and future proof.<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>There are several companies that offer a consumer genome test to analyze your ancestry, and some cases, health traits as well.\u00c2\u00a0 These include 23andMe, Ancestry.com, and FTDNA.com. Each of these companies allows you to download the raw data from the genome test.\u00c2\u00a0 You can use this raw data to analyze health information with third-party software, [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-87","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"_links":{"self":[{"href":"http:\/\/www.enlis.com\/blog\/wp-json\/wp\/v2\/posts\/87","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/www.enlis.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/www.enlis.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/www.enlis.com\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/www.enlis.com\/blog\/wp-json\/wp\/v2\/comments?post=87"}],"version-history":[{"count":0,"href":"http:\/\/www.enlis.com\/blog\/wp-json\/wp\/v2\/posts\/87\/revisions"}],"wp:attachment":[{"href":"http:\/\/www.enlis.com\/blog\/wp-json\/wp\/v2\/media?parent=87"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/www.enlis.com\/blog\/wp-json\/wp\/v2\/categories?post=87"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/www.enlis.com\/blog\/wp-json\/wp\/v2\/tags?post=87"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}