TreeWAS – [E03.1] Congenital hypothyroidism without goitre

Variant effects

Click on a variant to see its association results.

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Genome-wide Chromosomes: 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22

Results table

Variant	Risk posterior probability	No effect posterior probability	Protective posterior probability
rs7037324 lBF = `41.2459` Chr`9` : `100,658,318`	0.863	0.137	0.000
rs12967135 lBF = `10.2859` Chr`18` : `57,849,023`	0.851	0.149	0.000
rs538656 lBF = `10.3603` Chr`18` : `57,850,422`	0.849	0.151	0.000
rs571312 lBF = `10.5456` Chr`18` : `57,839,769`	0.849	0.151	0.000
rs12970134 lBF = `8.45951` Chr`18` : `57,884,750`	0.849	0.151	0.000
rs6567160 lBF = `10.4157` Chr`18` : `57,829,135`	0.849	0.151	0.000
rs11152213 lBF = `10.5482` Chr`18` : `57,852,948`	0.848	0.151	0.000
rs10871777 lBF = `10.7023` Chr`18` : `57,851,763`	0.848	0.152	0.000
rs663129 lBF = `10.1168` Chr`18` : `57,838,401`	0.847	0.153	0.000
rs476828 lBF = `10.3029` Chr`18` : `57,852,587`	0.846	0.154	0.000
rs1443438 lBF = `72.9209` Chr`9` : `100,550,028`	0.844	0.156	0.000
rs10759944 lBF = `70.3622` Chr`9` : `100,556,972`	0.844	0.156	0.000
rs17782313 lBF = `9.47631` Chr`18` : `57,851,097`	0.843	0.156	0.000
rs12955983 lBF = `7.91277` Chr`18` : `57,872,989`	0.842	0.158	0.000
rs8089364 lBF = `7.59758` Chr`18` : `57,858,829`	0.840	0.160	0.000
rs706779 lBF = `18.2692` Chr`10` : `6,098,824`	0.000	0.168	0.832
rs7237497 lBF = `11.9138` Chr`18` : `12,777,325`	0.000	0.170	0.830
rs2542151 lBF = `13.7217` Chr`18` : `12,779,947`	0.830	0.170	0.000
rs2847278 lBF = `11.9236` Chr`18` : `12,778,715`	0.000	0.171	0.829
rs9952991 lBF = `11.7356` Chr`18` : `12,780,464`	0.000	0.171	0.829
rs1893217 lBF = `16.5233` Chr`18` : `12,809,340`	0.829	0.171	0.000
rs11755527 lBF = `16.2085` Chr`6` : `90,958,231`	0.821	0.179	0.000
rs706778 lBF = `17.4563` Chr`10` : `6,098,949`	0.820	0.180	0.000
rs80191532 lBF = `12.2522` Chr`18` : `12,752,868`	0.816	0.184	0.000
rs7045138 lBF = `50.4679` Chr`9` : `100,591,463`	0.814	0.186	0.000
rs7090530 lBF = `13.9535` Chr`10` : `6,110,875`	0.000	0.186	0.814
rs231775 lBF = `43.2297` Chr`2` : `204,732,714`	0.810	0.190	0.000
rs5753037 lBF = `2.17178` Chr`22` : `30,581,722`	0.809	0.191	0.000
rs3087243 lBF = `41.252` Chr`2` : `204,738,919`	0.000	0.195	0.805
rs8083786 lBF = `2.85044` Chr`18` : `12,881,361`	0.805	0.195	0.000
rs204993 lBF = `249.805` Chr`6` : `32,155,581`	0.803	0.197	0.000
rs3118470 lBF = `14.8132` Chr`10` : `6,101,713`	0.802	0.198	0.000
rs62573974 lBF = `21.5749` Chr`9` : `100,536,542`	0.801	0.199	0.000
rs231735 lBF = `32.1003` Chr`2` : `204,693,876`	0.000	0.199	0.801
rs1024161 lBF = `37.0424` Chr`2` : `204,721,752`	0.795	0.205	0.000
rs204994 lBF = `75.1027` Chr`6` : `32,154,998`	0.795	0.205	0.000
rs204992 lBF = `357.269` Chr`6` : `32,156,908`	0.794	0.205	0.000
rs176095 lBF = `360.117` Chr`6` : `32,158,319`	0.794	0.206	0.000
rs231779 lBF = `42.1394` Chr`2` : `204,734,487`	0.791	0.209	0.000
rs402749 lBF = `15.3577` Chr`6` : `167,386,104`	0.000	0.210	0.790
rs2149085 lBF = `15.483` Chr`6` : `167,371,110`	0.000	0.211	0.789
rs401260 lBF = `14.7204` Chr`6` : `167,405,888`	0.000	0.211	0.789
rs9457247 lBF = `15.4707` Chr`6` : `167,392,174`	0.789	0.211	0.000
rs1819333 lBF = `15.537` Chr`6` : `167,373,547`	0.000	0.211	0.789
rs415890 lBF = `14.9073` Chr`6` : `167,406,633`	0.000	0.211	0.789
rs204999 lBF = `225.279` Chr`6` : `32,109,979`	0.788	0.212	0.000
rs477515 lBF = `222.226` Chr`6` : `32,569,691`	0.785	0.215	0.000
rs204995 lBF = `73.8651` Chr`6` : `32,154,285`	0.784	0.216	0.000
rs444210 lBF = `14.8557` Chr`6` : `167,390,242`	0.780	0.220	0.000
rs915894 lBF = `219.818` Chr`6` : `32,190,390`	0.777	0.223	0.000
rs885912 lBF = `179.285` Chr`6` : `30,174,633`	0.777	0.223	0.000
rs915895 lBF = `208.157` Chr`6` : `32,190,217`	0.775	0.225	0.000
rs443198 lBF = `204.432` Chr`6` : `32,190,406`	0.773	0.227	0.000
rs204989 lBF = `218.203` Chr`6` : `32,161,852`	0.772	0.228	0.000
rs231770 lBF = `35.3694` Chr`2` : `204,729,153`	0.772	0.228	0.000
rs3184504 lBF = `147.788` Chr`12` : `111,884,608`	0.771	0.229	0.000
rs3806157 lBF = `141.884` Chr`6` : `32,373,801`	0.771	0.229	0.000
rs653178 lBF = `141.209` Chr`12` : `112,007,756`	0.771	0.229	0.000
rs597808 lBF = `138.181` Chr`12` : `111,973,358`	0.000	0.230	0.770
rs7310615 lBF = `134.377` Chr`12` : `111,865,049`	0.000	0.230	0.770
rs7137828 lBF = `136.212` Chr`12` : `111,932,800`	0.000	0.230	0.770
rs1265564 lBF = `58.6971` Chr`12` : `111,708,458`	0.770	0.230	0.000
Affx-28442175 lBF = `151.697` Chr`6` : `31,105,413`	0.766	0.234	0.000
rs9267954 lBF = `210.546` Chr`6` : `32,213,052`	0.765	0.235	0.000
rs11073333 lBF = `10.1344` Chr`15` : `38,820,647`	0.765	0.235	0.000
rs17630235 lBF = `80.0182` Chr`12` : `112,591,686`	0.764	0.236	0.000
rs11065987 lBF = `90.6309` Chr`12` : `112,072,424`	0.764	0.236	0.000
rs2523721 lBF = `181.304` Chr`6` : `30,166,266`	0.764	0.236	0.000
rs2021722 lBF = `181.818` Chr`6` : `30,174,131`	0.764	0.236	0.000
rs9268403 lBF = `206.094` Chr`6` : `32,341,473`	0.763	0.237	0.000
rs3763307 lBF = `200.492` Chr`6` : `32,374,622`	0.762	0.237	0.000
rs9268480 lBF = `205.885` Chr`6` : `32,363,844`	0.762	0.237	0.000
rs3763316 lBF = `205.685` Chr`6` : `32,376,746`	0.762	0.238	0.000
rs9268474 lBF = `206.823` Chr`6` : `32,357,165`	0.762	0.238	0.000
rs9268456 lBF = `206.36` Chr`6` : `32,349,946`	0.762	0.238	0.000
rs9268481 lBF = `204.836` Chr`6` : `32,364,356`	0.762	0.238	0.000
rs9268428 lBF = `204.585` Chr`6` : `32,344,973`	0.762	0.238	0.000
rs9268418 lBF = `204.537` Chr`6` : `32,343,686`	0.762	0.238	0.000
rs9268514 lBF = `207.251` Chr`6` : `32,378,945`	0.762	0.238	0.000
rs9268516 lBF = `206.395` Chr`6` : `32,379,489`	0.762	0.238	0.000
rs9268459 lBF = `204.967` Chr`6` : `32,350,776`	0.762	0.238	0.000
rs10774625 lBF = `134.733` Chr`12` : `111,910,219`	0.762	0.238	0.000
rs3817962 lBF = `207.082` Chr`6` : `32,368,314`	0.762	0.238	0.000
rs4766578 lBF = `133.156` Chr`12` : `111,904,371`	0.000	0.238	0.762
rs9268429 lBF = `204.835` Chr`6` : `32,345,052`	0.762	0.238	0.000
rs3806156 lBF = `139.984` Chr`6` : `32,373,698`	0.761	0.239	0.000
rs2076525 lBF = `201.524` Chr`6` : `32,370,616`	0.761	0.239	0.000
rs10944479 lBF = `23.2805` Chr`6` : `90,880,393`	0.760	0.240	0.000
rs7961663 lBF = `12.1848` Chr`12` : `111,399,771`	0.759	0.241	0.000
rs1056620 lBF = `10.5104` Chr`12` : `111,375,172`	0.759	0.241	0.000
rs3817963 lBF = `197.964` Chr`6` : `32,368,087`	0.758	0.241	0.000
rs3817966 lBF = `198.937` Chr`6` : `32,367,847`	0.758	0.242	0.000
rs9268401 lBF = `190.875` Chr`6` : `32,341,318`	0.757	0.243	0.000
rs3763311 lBF = `203.85` Chr`6` : `32,376,176`	0.755	0.245	0.000
rs2236313 lBF = `11.6047` Chr`6` : `167,360,389`	0.000	0.245	0.755
rs17301128 lBF = `90.5348` Chr`6` : `28,308,034`	0.755	0.245	0.000
rs2076523 lBF = `139.68` Chr`6` : `32,370,835`	0.754	0.246	0.000
rs6912584 lBF = `87.9417` Chr`6` : `28,309,590`	0.754	0.246	0.000
rs2073044 lBF = `297.22` Chr`6` : `32,338,986`	0.753	0.246	0.000
rs7240566 lBF = `7.13612` Chr`18` : `57,744,189`	0.753	0.247	0.000
rs17696736 lBF = `77.5307` Chr`12` : `112,486,818`	0.752	0.248	0.000
rs1119211 lBF = `88.6883` Chr`6` : `28,309,136`	0.752	0.248	0.000
rs11066301 lBF = `73.3256` Chr`12` : `112,871,372`	0.752	0.248	0.000
rs9268833 lBF = `269.572` Chr`6` : `32,428,062`	0.751	0.249	0.000
rs6903823 lBF = `89.9101` Chr`6` : `28,322,296`	0.751	0.249	0.000
rs62389423 lBF = `145.226` Chr`6` : `421,281`	0.751	0.249	0.000
rs6903652 lBF = `89.1572` Chr`6` : `28,322,120`	0.751	0.249	0.000
rs8032939 lBF = `12.26` Chr`15` : `38,834,033`	0.751	0.249	0.000
rs9268835 lBF = `269.889` Chr`6` : `32,428,115`	0.750	0.249	0.000
rs56131013 lBF = `87.9877` Chr`6` : `28,320,677`	0.750	0.250	0.000
rs28438860 lBF = `9.95889` Chr`15` : `38,858,062`	0.750	0.250	0.000
rs9268499 lBF = `201.124` Chr`6` : `32,375,695`	0.749	0.251	0.000
rs4766897 lBF = `64.6713` Chr`12` : `112,179,471`	0.749	0.251	0.000
rs11065979 lBF = `94.2904` Chr`12` : `112,059,557`	0.749	0.251	0.000
rs9262549 lBF = `194.048` Chr`6` : `30,997,692`	0.746	0.253	0.000
rs62389424 lBF = `141.95` Chr`6` : `422,631`	0.746	0.254	0.000
rs7403531 lBF = `8.61662` Chr`15` : `38,822,905`	0.744	0.256	0.000
rs72928038 lBF = `32.6914` Chr`6` : `90,976,768`	0.744	0.256	0.000
rs2284164 lBF = `63.0732` Chr`6` : `30,159,854`	0.744	0.256	0.000
rs9261539 lBF = `65.6306` Chr`6` : `30,145,083`	0.743	0.257	0.000
rs9268877 lBF = `301.004` Chr`6` : `32,431,147`	0.000	0.257	0.743
rs4148870 lBF = `111.309` Chr`6` : `32,806,391`	0.743	0.257	0.000
rs3132666 lBF = `65.5618` Chr`6` : `30,193,513`	0.743	0.257	0.000
rs7774730 lBF = `64.5188` Chr`6` : `30,145,740`	0.742	0.258	0.000
rs5875240 lBF = `64.7679` Chr`6` : `30,157,599`	0.742	0.258	0.000
rs3132672 lBF = `65.9675` Chr`6` : `30,175,847`	0.742	0.258	0.000
rs715299 lBF = `48.7211` Chr`6` : `32,189,841`	0.742	0.258	0.000
rs2394737 lBF = `65.1178` Chr`6` : `30,142,999`	0.742	0.258	0.000
rs8035957 lBF = `9.51313` Chr`15` : `38,838,264`	0.742	0.258	0.000
rs886125 lBF = `9.62554` Chr`12` : `111,365,324`	0.741	0.259	0.000
rs10774624 lBF = `108.174` Chr`12` : `111,833,788`	0.000	0.260	0.740
rs3763312 lBF = `361.447` Chr`6` : `32,376,348`	0.740	0.260	0.000
rs2857165 lBF = `78.1403` Chr`6` : `32,757,737`	0.000	0.260	0.740
rs2395163 lBF = `377.046` Chr`6` : `32,387,809`	0.739	0.261	0.000
rs2249464 lBF = `110.808` Chr`6` : `30,888,161`	0.739	0.261	0.000
rs753725 lBF = `111.882` Chr`6` : `30,890,871`	0.739	0.261	0.000
rs3763309 lBF = `364.621` Chr`6` : `32,375,973`	0.739	0.261	0.000
rs9296009 lBF = `145.919` Chr`6` : `32,114,515`	0.739	0.261	0.000
rs3793127 lBF = `363.437` Chr`6` : `32,371,915`	0.739	0.261	0.000
rs12957347 lBF = `6.54836` Chr`18` : `57,751,014`	0.739	0.261	0.000
rs2532934 lBF = `109.949` Chr`6` : `30,894,759`	0.738	0.262	0.000
rs9268614 lBF = `379.521` Chr`6` : `32,402,778`	0.737	0.263	0.000
rs9268301 lBF = `266.74` Chr`6` : `32,319,637`	0.737	0.263	0.000
rs2844697 lBF = `185.505` Chr`6` : `30,932,309`	0.736	0.263	0.000
rs2507997 lBF = `261.668` Chr`6` : `31,314,781`	0.736	0.264	0.000
rs2844651 lBF = `108.36` Chr`6` : `30,900,664`	0.736	0.264	0.000
rs3096697 lBF = `98.9911` Chr`6` : `32,134,510`	0.734	0.266	0.000
rs17574546 lBF = `13.6695` Chr`15` : `38,902,476`	0.734	0.266	0.000
rs3134944 lBF = `102.616` Chr`6` : `32,146,644`	0.734	0.266	0.000
rs3134608 lBF = `99.9061` Chr`6` : `32,117,971`	0.734	0.266	0.000
rs3132965 lBF = `101.313` Chr`6` : `32,146,997`	0.733	0.266	0.000
rs6910071 lBF = `365.296` Chr`6` : `32,282,854`	0.733	0.266	0.000
rs3134947 lBF = `100.76` Chr`6` : `32,145,205`	0.733	0.266	0.000
rs16967103 lBF = `14.2899` Chr`15` : `38,899,190`	0.733	0.266	0.000
rs1062070 lBF = `160.034` Chr`6` : `32,148,031`	0.733	0.267	0.000
rs7171171 lBF = `15.3328` Chr`15` : `38,907,041`	0.733	0.267	0.000
rs3130284 lBF = `104.467` Chr`6` : `32,140,487`	0.733	0.267	0.000
rs3130347 lBF = `380.111` Chr`6` : `32,134,656`	0.733	0.267	0.000
rs3134945 lBF = `100.753` Chr`6` : `32,146,492`	0.733	0.267	0.000
rs28361060 lBF = `366.643` Chr`6` : `32,303,848`	0.733	0.267	0.000
rs9268145 lBF = `359.052` Chr`6` : `32,257,284`	0.733	0.267	0.000
rs3134946 lBF = `101.407` Chr`6` : `32,145,993`	0.733	0.267	0.000
rs3096696 lBF = `97.6499` Chr`6` : `32,122,472`	0.733	0.267	0.000
rs3131297 lBF = `98.8204` Chr`6` : `32,141,005`	0.733	0.267	0.000
rs3131300 lBF = `159.177` Chr`6` : `32,151,934`	0.733	0.267	0.000
rs9268362 lBF = `364.835` Chr`6` : `32,333,341`	0.733	0.267	0.000
rs59659806 lBF = `5.44831` Chr`15` : `38,919,964`	0.732	0.268	0.000
rs206776 lBF = `62.7462` Chr`6` : `32,953,711`	0.000	0.268	0.731
rs3130349 lBF = `160.685` Chr`6` : `32,147,696`	0.731	0.268	0.000
rs1800625 lBF = `159.28` Chr`6` : `32,152,442`	0.731	0.268	0.000
rs6489835 lBF = `12.21` Chr`12` : `111,365,043`	0.731	0.269	0.000
rs424232 lBF = `110.822` Chr`6` : `32,208,324`	0.731	0.269	0.000
rs7090512 lBF = `3.16431` Chr`10` : `6,110,829`	0.730	0.270	0.000
rs7968960 lBF = `18.337` Chr`12` : `111,426,615`	0.730	0.270	0.000
rs4378452 lBF = `20.7259` Chr`12` : `111,504,033`	0.729	0.271	0.000
rs34839759 lBF = `247.024` Chr`6` : `32,546,557`	0.728	0.272	0.000
rs72727394 lBF = `12.5933` Chr`15` : `38,847,022`	0.727	0.272	0.000
rs6922111 lBF = `93.7796` Chr`6` : `28,325,308`	0.727	0.273	0.000
rs3208409 lBF = `252.426` Chr`6` : `32,546,696`	0.727	0.273	0.000
rs6921919 lBF = `92.1777` Chr`6` : `28,325,201`	0.727	0.273	0.000
rs111834747 lBF = `248.946` Chr`6` : `32,492,866`	0.727	0.273	0.000
rs28366302 lBF = `252.399` Chr`6` : `32,560,934`	0.727	0.273	0.000
Affx-28486470 lBF = `253.054` Chr`6` : `32,546,879`	0.726	0.273	0.000
rs241458 lBF = `122.511` Chr`6` : `32,888,566`	0.000	0.274	0.726
rs2857218 lBF = `123.609` Chr`6` : `32,855,340`	0.726	0.274	0.000
rs3132935 lBF = `116.088` Chr`6` : `32,171,075`	0.725	0.275	0.000
rs1146187 lBF = `37.7682` Chr`1` : `114,212,571`	0.725	0.275	0.000
rs11598494 lBF = `8.70863` Chr`10` : `6,178,941`	0.000	0.275	0.725
rs12063216 lBF = `36.6366` Chr`1` : `114,277,330`	0.724	0.275	0.000
rs2071552 lBF = `93.2508` Chr`6` : `32,806,461`	0.723	0.277	0.000
rs1847472 lBF = `25.3528` Chr`6` : `90,973,159`	0.723	0.277	0.000
rs2621338 lBF = `108.448` Chr`6` : `32,776,583`	0.000	0.277	0.723
rs9261425 lBF = `88.6947` Chr`6` : `30,081,108`	0.723	0.277	0.000
rs2857118 lBF = `107.717` Chr`6` : `32,777,900`	0.000	0.277	0.723
rs7772827 lBF = `79.203` Chr`6` : `28,301,143`	0.723	0.277	0.000
rs2621367 lBF = `107.163` Chr`6` : `32,768,721`	0.000	0.277	0.723
rs28724008 lBF = `253.172` Chr`6` : `32,550,550`	0.722	0.278	0.000
rs2395185 lBF = `246.003` Chr`6` : `32,433,167`	0.722	0.278	0.000
rs2621342 lBF = `106.925` Chr`6` : `32,775,004`	0.000	0.278	0.722
rs241448 lBF = `108.484` Chr`6` : `32,796,685`	0.000	0.278	0.721
rs9268969 lBF = `249.147` Chr`6` : `32,434,349`	0.721	0.279	0.000
rs9268923 lBF = `248.283` Chr`6` : `32,432,835`	0.721	0.279	0.000
rs241456 lBF = `114.422` Chr`6` : `32,795,965`	0.000	0.279	0.721
rs3129890 lBF = `86.6135` Chr`6` : `32,414,273`	0.721	0.279	0.000
rs12180820 lBF = `81.2043` Chr`6` : `28,316,478`	0.721	0.279	0.000
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rs6899857 lBF = `178.897` Chr`6` : `32,770,482`	0.718	0.282	0.000
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rs17034 lBF = `112.984` Chr`6` : `32,796,521`	0.000	0.282	0.718
rs757257 lBF = `66.5266` Chr`6` : `30,142,458`	0.718	0.282	0.000
rs916571 lBF = `66.6408` Chr`6` : `30,201,955`	0.717	0.282	0.000
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rs9271367 lBF = `258.737` Chr`6` : `32,586,908`	0.000	0.283	0.717
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rs2853953 lBF = `290.388` Chr`6` : `31,235,505`	0.717	0.283	0.000
Affx-28446136 lBF = `288.862` Chr`6` : `31,233,510`	0.717	0.283	0.000
rs2516491 lBF = `288.589` Chr`6` : `31,485,101`	0.717	0.283	0.000
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rs2187668 lBF = `393.11` Chr`6` : `32,605,884`	0.717	0.283	0.000
rs2040406 lBF = `386.738` Chr`6` : `32,603,007`	0.717	0.283	0.000
rs3132449 lBF = `379.265` Chr`6` : `31,626,013`	0.717	0.283	0.000
rs3096690 lBF = `378.542` Chr`6` : `32,194,630`	0.717	0.283	0.000
rs9267531 lBF = `377.776` Chr`6` : `31,636,742`	0.717	0.283	0.000
rs3117582 lBF = `377.466` Chr`6` : `31,620,520`	0.717	0.283	0.000
rs1270942 lBF = `377.209` Chr`6` : `31,918,860`	0.717	0.283	0.000
rs3132450 lBF = `377.185` Chr`6` : `31,596,138`	0.717	0.283	0.000
rs3131383 lBF = `375.87` Chr`6` : `31,704,294`	0.717	0.283	0.000
rs3101018 lBF = `375.352` Chr`6` : `31,705,864`	0.717	0.283	0.000
rs1269852 lBF = `375.22` Chr`6` : `32,080,191`	0.717	0.283	0.000
rs1265754 lBF = `374.709` Chr`6` : `32,303,692`	0.717	0.283	0.000
rs3115671 lBF = `374.212` Chr`6` : `31,734,345`	0.717	0.283	0.000
rs1150753 lBF = `373.016` Chr`6` : `32,059,867`	0.717	0.283	0.000
rs7775397 lBF = `372.647` Chr`6` : `32,261,252`	0.717	0.283	0.000
rs3117577 lBF = `372.618` Chr`6` : `31,727,474`	0.717	0.283	0.000
rs3131379 lBF = `372.271` Chr`6` : `31,721,033`	0.717	0.283	0.000
rs3130484 lBF = `372.268` Chr`6` : `31,715,882`	0.717	0.283	0.000
rs2395149 lBF = `372.154` Chr`6` : `32,325,562`	0.717	0.283	0.000
rs1150757 lBF = `372.064` Chr`6` : `32,029,205`	0.717	0.283	0.000
rs3117574 lBF = `371.897` Chr`6` : `31,725,230`	0.717	0.283	0.000
rs497309 lBF = `371.735` Chr`6` : `31,892,484`	0.717	0.283	0.000
rs1265757 lBF = `371.253` Chr`6` : `32,302,382`	0.717	0.283	0.000
rs3131378 lBF = `371.074` Chr`6` : `31,725,285`	0.717	0.283	0.000
rs3130288 lBF = `371.035` Chr`6` : `32,096,001`	0.717	0.283	0.000
rs2849018 lBF = `370.935` Chr`6` : `32,310,863`	0.717	0.283	0.000
rs1150752 lBF = `370.901` Chr`6` : `32,064,726`	0.717	0.283	0.000
rs3130679 lBF = `370.698` Chr`6` : `31,807,540`	0.717	0.283	0.000
rs3117575 lBF = `370.531` Chr`6` : `31,726,253`	0.717	0.283	0.000
rs389884 lBF = `369.429` Chr`6` : `31,940,897`	0.717	0.283	0.000
rs3130490 lBF = `367.956` Chr`6` : `31,739,120`	0.717	0.283	0.000
rs3129927 lBF = `367.788` Chr`6` : `32,333,827`	0.717	0.283	0.000
rs9268235 lBF = `367.704` Chr`6` : `32,290,208`	0.717	0.283	0.000
rs3135394 lBF = `366.334` Chr`6` : `32,408,497`	0.717	0.283	0.000
rs2894254 lBF = `365.676` Chr`6` : `32,345,689`	0.717	0.283	0.000
rs3021302 lBF = `364.737` Chr`6` : `32,623,150`	0.717	0.283	0.000
rs3130614 lBF = `363.156` Chr`6` : `31,476,458`	0.717	0.283	0.000
rs9268219 lBF = `356.694` Chr`6` : `32,284,108`	0.717	0.283	0.000
rs3132510 lBF = `353.141` Chr`6` : `31,172,151`	0.717	0.283	0.000
rs9267488 lBF = `351.548` Chr`6` : `31,514,247`	0.717	0.283	0.000
rs3094005 lBF = `350.055` Chr`6` : `31,465,047`	0.717	0.283	0.000
rs2734583 lBF = `350.023` Chr`6` : `31,505,480`	0.717	0.283	0.000
rs3099844 lBF = `346.136` Chr`6` : `31,448,976`	0.717	0.283	0.000
rs3134942 lBF = `342.134` Chr`6` : `32,168,771`	0.717	0.283	0.000
rs11229 lBF = `338.99` Chr`6` : `31,603,770`	0.717	0.283	0.000
rs3115663 lBF = `338.64` Chr`6` : `31,601,843`	0.717	0.283	0.000
rs3117583 lBF = `338.249` Chr`6` : `31,619,576`	0.717	0.283	0.000
rs10885 lBF = `337.848` Chr`6` : `31,604,591`	0.717	0.283	0.000
rs3130627 lBF = `337.805` Chr`6` : `31,600,851`	0.717	0.283	0.000
rs3115665 lBF = `337.342` Chr`6` : `31,589,264`	0.717	0.283	0.000
rs3130618 lBF = `335.092` Chr`6` : `31,632,134`	0.717	0.283	0.000
rs3130070 lBF = `334.536` Chr`6` : `31,591,808`	0.717	0.283	0.000
rs2736157 lBF = `327.457` Chr`6` : `31,600,820`	0.717	0.283	0.000
rs3095336 lBF = `320.745` Chr`6` : `30,738,446`	0.717	0.283	0.000
rs6901158 lBF = `317.39` Chr`6` : `32,205,942`	0.717	0.283	0.000
rs3131643 lBF = `317.366` Chr`6` : `31,442,782`	0.717	0.283	0.000
rs3132585 lBF = `312.872` Chr`6` : `30,687,614`	0.717	0.283	0.000
rs2071278 lBF = `310.753` Chr`6` : `32,165,444`	0.717	0.283	0.000
rs3130455 lBF = `310.319` Chr`6` : `31,125,978`	0.717	0.283	0.000
Affx-28468489 lBF = `309.397` Chr`6` : `32,165,444`	0.717	0.283	0.000
rs9276689 lBF = `309.056` Chr`6` : `32,751,962`	0.717	0.283	0.000
rs3130351 lBF = `308.615` Chr`6` : `30,328,192`	0.717	0.283	0.000
rs9276731 lBF = `308.61` Chr`6` : `32,765,585`	0.717	0.283	0.000
rs3130352 lBF = `308.277` Chr`6` : `30,328,357`	0.717	0.283	0.000
rs3130377 lBF = `306.414` Chr`6` : `30,323,393`	0.717	0.283	0.000
rs130076 lBF = `306.003` Chr`6` : `31,122,482`	0.717	0.283	0.000
rs9262143 lBF = `304.189` Chr`6` : `30,652,781`	0.717	0.283	0.000
rs9262132 lBF = `302.587` Chr`6` : `30,611,350`	0.717	0.283	0.000
rs377763 lBF = `302.382` Chr`6` : `32,199,144`	0.717	0.283	0.000
rs1264376 lBF = `301.742` Chr`6` : `30,765,579`	0.717	0.283	0.000
rs2523729 lBF = `299.534` Chr`6` : `30,137,387`	0.717	0.283	0.000
rs138394556 lBF = `297.748` Chr`6` : `30,652,782`	0.717	0.283	0.000
rs3130247 lBF = `297.106` Chr`6` : `30,515,043`	0.717	0.283	0.000
rs2106072 lBF = `296.502` Chr`6` : `30,153,363`	0.717	0.283	0.000
rs3132610 lBF = `294.749` Chr`6` : `30,544,401`	0.717	0.283	0.000
rs1264377 lBF = `293.878` Chr`6` : `30,764,907`	0.717	0.283	0.000
rs2858867 lBF = `291.547` Chr`6` : `32,575,325`	0.717	0.283	0.000
rs615672 lBF = `289.555` Chr`6` : `32,574,171`	0.717	0.283	0.000
rs3132616 lBF = `288.721` Chr`6` : `30,416,456`	0.717	0.283	0.000
rs521828 lBF = `280.231` Chr`6` : `32,291,643`	0.717	0.283	0.000
rs115484013 lBF = `278.669` Chr`6` : `32,452,707`	0.717	0.283	0.000
rs3094054 lBF = `275.225` Chr`6` : `30,333,505`	0.717	0.283	0.000
rs2395158 lBF = `274.261` Chr`6` : `32,374,595`	0.717	0.283	0.000
rs1980493 lBF = `273.275` Chr`6` : `32,363,215`	0.717	0.283	0.000
rs2395171 lBF = `254.469` Chr`6` : `32,394,537`	0.717	0.283	0.000
rs3135356 lBF = `253.703` Chr`6` : `32,391,516`	0.717	0.283	0.000
rs6457374 lBF = `249.684` Chr`6` : `31,272,261`	0.717	0.283	0.000

This table lists the top 500 variants ordered by p(effect).

The full results table can be downloaded from this page.

Variant clusters with highest protective effect

(posterior probability > 0.05)

Cluster X0108

log Bayes Factor = 155.083

contains 8 variants

0.8172

Cluster X0323

log Bayes Factor = 180.399

contains 5 variants

0.5363

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.4707

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0236

log Bayes Factor = 83.9265

contains 3 variants

0.8985

Cluster X0304

log Bayes Factor = 64.0127

contains 3 variants

0.8442

Cluster X0330

log Bayes Factor = 183.455

contains 2 variants

0.8124

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.8052

Cluster X0103

log Bayes Factor = 194.456

contains 13 variants

0.7368

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.7169

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.7142

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.7091

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.6720

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.6700

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.6674

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.6598

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.6524

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.6330

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.6328

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.6311

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.6223

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.6082

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.5870

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.5861

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.5845

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.5778

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.5609

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.5541

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.5442

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.5261

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.5154

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.5126

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.5098

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.4948

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.4939

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.4852

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.4826

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.4763

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.4744

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.4558

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.4477

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.4449

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.4321

Cluster X0298

log Bayes Factor = 220.671

contains 1 variants

0.4288

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.4265

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.3959

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.3852

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.3833

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.3778

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.3753

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.3644

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.3558

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.3546

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.3532

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.3462

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.3458

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.3300

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.3299

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.3287

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.3278

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.3272

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.3265

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.3235

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.3222

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.3219

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.3177

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.3142

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.3107

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.3062

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.3058

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.3053

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.3017

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.2993

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.2989

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.2975

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.2929

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.2915

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.2915

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.2892

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.2890

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.2888

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.2887

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.2864

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.2864

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.2864

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.2848

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.2820

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.2809

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.2705

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.2693

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.2644

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.2592

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.2569

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.2547

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.2525

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.2517

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.2516

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.2513

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.2504

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.2492

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.2468

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.2445

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.2440

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.2416

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.2409

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.2389

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.2356

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.2342

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.2309

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.2308

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.2301

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.2258

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.2231

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.2215

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.2183

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.2117

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.2105

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.2094

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.2011

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.1953

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.1945

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.1929

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.1915

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.1899

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.1866

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.1836

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.1835

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.1771

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.1765

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.1755

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.1677

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.1668

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.1645

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.1643

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.1612

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.1610

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.1610

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.1591

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.1572

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.1569

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.1535

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.1532

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.1521

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.1508

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.1462

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.1382

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.1292

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.1273

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.1270

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.1248

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.1228

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.1198

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.1194

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.1179

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.1171

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.1154

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.1102

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.1102

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.1098

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.1052

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.1030

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.1023

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.1019

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.1007

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.0988

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.0985

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.0966

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.0963

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.0947

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.0904

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.0885

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.0843

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.0832

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.0810

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.0798

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.0779

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.0720

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.0720

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.0704

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.0680

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.0677

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.0664

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.0660

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.0650

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.0636

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.0633

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.0612

Cluster X0337

log Bayes Factor = 84.9395

contains 2 variants

0.0603

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.0601

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.0586

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.0579

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.0576

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.0561

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.0561

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.0527

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.0515

The TreeWAS Database is the result of research conducted at the Oxford Big Data Institute at the University of Oxford.

This research has been conducted using the UK Biobank Resource (application number 10625). This work uses data provided by patients and collected by the NHS as part of their care and support.

This research has been conducted with the support of the Wellcome Trust (100956/Z/13/Z and 090532/Z/09/Z and 100308/Z/12/Z), the Danish National Research Foundation, Takeda, the Medical Research Council (MC_UU_12010/3), the Oak Foundation (OCAY-15-520), the National Institute for Health Research (NIHR) Oxford Biomedical Research Centre (BRC), the Wellcome Trust/Royal Society (204290/Z/16/Z) and the Li Ka Shing Foundation.

Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

(posterior probability > 0.05)

(posterior probability > 0.05)

Diagnostic term associations

Hospitalization Episode Statistics (HES)

(posterior probability > 0.05)

(posterior probability > 0.05)

Hospitalization Episode Statistics (`HES`)