TreeWAS – [Z97] Presence of other devices

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
rs116198372 lBF = `12.3372` Chr`1` : `164,253,991`	0.992	0.008	0.000
rs704080 lBF = `11.6648` Chr`12` : `89,749,223`	0.962	0.038	0.000
rs75622023 lBF = `16.1719` Chr`9` : `28,607,634`	0.961	0.039	0.000
rs139429326 lBF = `11.6781` Chr`6` : `110,946,339`	0.961	0.039	0.000
rs11012732 lBF = `26.3769` Chr`10` : `21,830,104`	0.957	0.043	0.000
rs10828249 lBF = `26.8646` Chr`10` : `21,824,727`	0.945	0.055	0.000
rs117178387 lBF = `11.7654` Chr`6` : `111,137,080`	0.944	0.056	0.000
rs17592741 lBF = `11.219` Chr`5` : `153,000,842`	0.935	0.065	0.000
rs56281909 lBF = `11.3432` Chr`9` : `4,418,821`	0.933	0.067	0.000
rs117091826 lBF = `24.5799` Chr`12` : `112,629,713`	0.926	0.074	0.000
rs7098100 lBF = `24.7582` Chr`10` : `21,834,536`	0.922	0.078	0.000
rs76884878 lBF = `35.0894` Chr`13` : `50,348,776`	0.920	0.080	0.000
rs73366442 lBF = `12.0256` Chr`7` : `73,989,491`	0.918	0.082	0.000
rs13107325 lBF = `35.3497` Chr`4` : `103,188,709`	0.917	0.083	0.000
rs62242686 lBF = `11.9408` Chr`3` : `38,349,391`	0.916	0.084	0.000
rs77457385 lBF = `15.4395` Chr`15` : `69,979,587`	0.915	0.085	0.000
rs79142871 lBF = `20.356` Chr`1` : `90,340,943`	0.912	0.088	0.000
rs35729753 lBF = `17.3029` Chr`12` : `66,672,379`	0.911	0.089	0.000
rs13009537 lBF = `20.9772` Chr`2` : `76,970,796`	0.911	0.089	0.000
rs117636037 lBF = `18.8537` Chr`12` : `38,519,375`	0.907	0.093	0.000
rs117540688 lBF = `12.0488` Chr`9` : `6,064,428`	0.906	0.094	0.000
rs116879316 lBF = `13.0202` Chr`11` : `24,123,914`	0.904	0.096	0.000
rs5011832 lBF = `6.12001` Chr`10` : `21,782,842`	0.903	0.097	0.000
rs76045649 lBF = `6.14444` Chr`13` : `30,657,971`	0.902	0.098	0.000
rs118048884 lBF = `19.0883` Chr`10` : `132,406,347`	0.899	0.101	0.000
rs75444639 lBF = `32.0405` Chr`1` : `232,117,041`	0.898	0.101	0.000
rs113218636 lBF = `16.5944` Chr`6` : `74,893,286`	0.898	0.102	0.000
rs76486638 lBF = `15.087` Chr`20` : `40,719,979`	0.897	0.103	0.000
rs786807 lBF = `14.0508` Chr`10` : `48,636,891`	0.896	0.104	0.000
rs145629243 lBF = `35.3075` Chr`6` : `43,307,399`	0.894	0.106	0.000
rs11967333 lBF = `18.7992` Chr`6` : `23,790,159`	0.894	0.106	0.000
rs72819829 lBF = `13.4058` Chr`5` : `180,227,332`	0.893	0.107	0.000
rs114080907 lBF = `15.1857` Chr`1` : `21,077,245`	0.893	0.107	0.000
rs112765961 lBF = `20.7661` Chr`20` : `17,867,605`	0.891	0.109	0.000
rs71638410 lBF = `25.1393` Chr`1` : `232,107,430`	0.890	0.110	0.000
rs78807356 lBF = `22.3905` Chr`11` : `46,596,670`	0.889	0.111	0.000
rs16988500 lBF = `15.6075` Chr`4` : `33,000,750`	0.888	0.112	0.000
rs7907491 lBF = `9.55748` Chr`10` : `21,630,589`	0.887	0.113	0.000
rs79918060 lBF = `17.5524` Chr`12` : `58,407,669`	0.887	0.113	0.000
rs80349490 lBF = `12.4872` Chr`6` : `21,615,188`	0.885	0.115	0.000
rs56201661 lBF = `19.276` Chr`3` : `189,658,609`	0.885	0.115	0.000
rs114198037 lBF = `25.2397` Chr`2` : `76,924,347`	0.885	0.115	0.000
rs7298767 lBF = `17.6072` Chr`12` : `22,475,701`	0.885	0.115	0.000
rs34260939 lBF = `18.531` Chr`10` : `105,800,893`	0.884	0.116	0.000
rs79858930 lBF = `31.6188` Chr`10` : `83,047,434`	0.884	0.116	0.000
rs117824799 lBF = `22.345` Chr`11` : `43,752,296`	0.882	0.118	0.000
rs118118740 lBF = `29.2075` Chr`14` : `102,482,939`	0.882	0.118	0.000
rs80335688 lBF = `12.7849` Chr`10` : `90,949,251`	0.879	0.121	0.000
rs16887604 lBF = `11.436` Chr`6` : `77,149,658`	0.878	0.122	0.000
rs11645236 lBF = `19.5773` Chr`16` : `54,713,198`	0.877	0.123	0.000
rs6755097 lBF = `8.53243` Chr`2` : `196,116,079`	0.877	0.123	0.000
rs2496644 lBF = `15.9721` Chr`6` : `41,482,745`	0.876	0.124	0.000
rs78820411 lBF = `24.1897` Chr`15` : `26,478,903`	0.875	0.125	0.000
rs114388623 lBF = `15.1083` Chr`1` : `242,921,341`	0.873	0.127	0.000
rs76814966 lBF = `14.8473` Chr`1` : `88,617,092`	0.873	0.127	0.000
rs79638442 lBF = `13.2792` Chr`5` : `66,180,409`	0.872	0.128	0.000
rs79665456 lBF = `13.4635` Chr`17` : `36,203,084`	0.871	0.129	0.000
rs75779669 lBF = `19.3932` Chr`8` : `20,955,032`	0.871	0.129	0.000
rs1801276 lBF = `19.3797` Chr`2` : `227,661,921`	0.871	0.129	0.000
rs7089656 lBF = `10.3905` Chr`10` : `22,284,140`	0.871	0.129	0.000
rs75404215 lBF = `14.5116` Chr`7` : `15,472,901`	0.870	0.130	0.000
rs28414670 lBF = `16.6255` Chr`15` : `96,000,620`	0.867	0.132	0.000
rs3812645 lBF = `12.4738` Chr`10` : `87,489,317`	0.867	0.133	0.000
rs77955971 lBF = `21.554` Chr`6` : `5,128,348`	0.866	0.134	0.000
rs1243180 lBF = `32.9281` Chr`10` : `21,915,619`	0.866	0.134	0.000
rs35868637 lBF = `14.7865` Chr`8` : `94,743,876`	0.865	0.135	0.000
rs41279092 lBF = `7.635` Chr`12` : `112,924,706`	0.000	0.136	0.864
rs79464621 lBF = `24.8591` Chr`5` : `151,383,540`	0.864	0.136	0.000
rs117664943 lBF = `16.2944` Chr`16` : `52,408,480`	0.863	0.137	0.000
rs72973582 lBF = `18.8418` Chr`11` : `102,558,258`	0.863	0.137	0.000
rs2888406 lBF = `18.0651` Chr`5` : `68,105,237`	0.863	0.137	0.000
rs78076094 lBF = `17.3177` Chr`18` : `6,968,799`	0.861	0.139	0.000
rs62571477 lBF = `27.2395` Chr`9` : `137,865,056`	0.860	0.140	0.000
rs114453043 lBF = `22.0948` Chr`12` : `25,461,756`	0.858	0.142	0.000
rs77809575 lBF = `25.0612` Chr`5` : `95,206,522`	0.857	0.143	0.000
rs188448092 lBF = `23.8385` Chr`13` : `24,544,751`	0.854	0.146	0.000
rs117466338 lBF = `32.7518` Chr`20` : `56,233,845`	0.852	0.148	0.000
rs116448368 lBF = `23.9738` Chr`15` : `52,600,590`	0.852	0.148	0.000
rs17797221 lBF = `24.1427` Chr`8` : `97,995,627`	0.851	0.149	0.000
rs76001134 lBF = `19.3411` Chr`12` : `23,209,903`	0.851	0.149	0.000
rs145996888 lBF = `5.16769` Chr`16` : `31,525,628`	0.848	0.152	0.000
rs141527659 lBF = `22.6507` Chr`8` : `130,875,935`	0.847	0.152	0.000
rs56369933 lBF = `14.8225` Chr`6` : `5,187,437`	0.847	0.153	0.000
rs118113273 lBF = `22.5923` Chr`12` : `128,300,100`	0.847	0.153	0.000
rs117516871 lBF = `15.3218` Chr`11` : `46,312,214`	0.847	0.153	0.000
rs71493883 lBF = `30.5734` Chr`10` : `60,796,995`	0.845	0.155	0.000
rs117123268 lBF = `19.5843` Chr`14` : `76,719,166`	0.845	0.155	0.000
rs61963335 lBF = `28.93` Chr`13` : `110,910,173`	0.845	0.155	0.000
rs78254357 lBF = `8.6305` Chr`4` : `127,368,741`	0.845	0.155	0.000
rs80106349 lBF = `14.628` Chr`1` : `72,608,658`	0.845	0.155	0.000
rs78296588 lBF = `15.8425` Chr`9` : `102,305,131`	0.844	0.156	0.000
rs74453195 lBF = `16.6461` Chr`10` : `97,898,846`	0.842	0.158	0.000
rs116769405 lBF = `17.8241` Chr`2` : `113,517,977`	0.841	0.159	0.000
rs115898927 lBF = `17.5385` Chr`6` : `67,963,526`	0.841	0.159	0.000
rs76761043 lBF = `33.5262` Chr`13` : `40,263,143`	0.841	0.159	0.000
rs79633596 lBF = `13.7184` Chr`4` : `185,034,015`	0.841	0.159	0.000
rs58563355 lBF = `20.9719` Chr`16` : `1,199,938`	0.840	0.160	0.000
rs76655434 lBF = `20.9981` Chr`5` : `107,720,033`	0.840	0.160	0.000
rs117172015 lBF = `17.2619` Chr`22` : `48,636,428`	0.840	0.160	0.000
rs79549931 lBF = `22.7675` Chr`17` : `66,178,996`	0.839	0.161	0.000
rs7741164 lBF = `16.6103` Chr`6` : `41,493,412`	0.839	0.161	0.000
rs34616430 lBF = `13.2898` Chr`4` : `34,259,163`	0.838	0.162	0.000
rs74695365 lBF = `20.1023` Chr`6` : `33,991,692`	0.838	0.162	0.000
rs74349719 lBF = `17.1061` Chr`3` : `46,650,701`	0.837	0.163	0.000
rs12136606 lBF = `19.0454` Chr`1` : `15,741,403`	0.837	0.163	0.000
rs61748588 lBF = `24.9135` Chr`6` : `30,878,523`	0.836	0.164	0.000
rs11746865 lBF = `27.9946` Chr`5` : `136,600,241`	0.836	0.164	0.000
rs115244944 lBF = `18.0031` Chr`1` : `5,826,134`	0.835	0.164	0.000
rs118009375 lBF = `15.4206` Chr`19` : `51,406,426`	0.835	0.165	0.000
rs76027185 lBF = `15.5405` Chr`3` : `65,669,218`	0.835	0.165	0.000
rs13135092 lBF = `37.6514` Chr`4` : `103,198,082`	0.834	0.166	0.000
rs74520339 lBF = `14.4457` Chr`7` : `156,880,653`	0.834	0.166	0.000
rs117352425 lBF = `15.9738` Chr`10` : `5,115,032`	0.834	0.166	0.000
rs118190886 lBF = `28.2045` Chr`20` : `58,877,758`	0.833	0.167	0.000
rs79120241 lBF = `12.9559` Chr`14` : `48,698,503`	0.833	0.167	0.000
rs76881534 lBF = `9.28607` Chr`6` : `74,895,892`	0.833	0.167	0.000
rs117556572 lBF = `18.3262` Chr`13` : `105,088,917`	0.833	0.167	0.000
rs6844473 lBF = `16.0482` Chr`4` : `147,368,219`	0.832	0.168	0.000
rs72744984 lBF = `24.9026` Chr`1` : `197,887,266`	0.832	0.168	0.000
rs1641895 lBF = `14.1003` Chr`16` : `12,641,115`	0.832	0.168	0.000
rs116086868 lBF = `14.4058` Chr`8` : `17,448,828`	0.831	0.169	0.000
rs4468302 lBF = `31.0559` Chr`10` : `60,164,572`	0.830	0.170	0.000
rs17829719 lBF = `15.2172` Chr`8` : `1,824,454`	0.830	0.170	0.000
rs35921408 lBF = `30.4918` Chr`1` : `184,029,795`	0.829	0.171	0.000
rs34925440 lBF = `14.4015` Chr`11` : `210,660`	0.829	0.171	0.000
Affx-8411664 lBF = `18.4862` Chr`12` : `71,094,955`	0.828	0.172	0.000
rs78840173 lBF = `18.6712` Chr`4` : `150,134,577`	0.827	0.173	0.000
rs6696001 lBF = `20.5129` Chr`1` : `54,614,145`	0.827	0.173	0.000
rs12997492 lBF = `13.2297` Chr`2` : `151,964,165`	0.826	0.174	0.000
rs2168211 lBF = `16.1589` Chr`14` : `31,000,608`	0.826	0.174	0.000
rs190627217 lBF = `13.7219` Chr`17` : `45,811,915`	0.826	0.174	0.000
rs79802820 lBF = `18.8126` Chr`1` : `216,046,129`	0.825	0.175	0.000
rs117133403 lBF = `17.8134` Chr`15` : `49,823,391`	0.824	0.176	0.000
rs76099073 lBF = `14.0842` Chr`10` : `54,234,770`	0.824	0.176	0.000
rs75903686 lBF = `17.2493` Chr`18` : `31,898,334`	0.824	0.176	0.000
rs74488808 lBF = `20.4701` Chr`4` : `164,941,510`	0.824	0.176	0.000
rs118083488 lBF = `17.572` Chr`6` : `159,789,012`	0.824	0.176	0.000
rs78428368 lBF = `24.4407` Chr`4` : `164,617,481`	0.824	0.176	0.000
rs116509458 lBF = `18.3424` Chr`5` : `68,130,358`	0.823	0.177	0.000
rs75729340 lBF = `21.0937` Chr`18` : `31,480,742`	0.823	0.177	0.000
rs150199484 lBF = `15.0955` Chr`13` : `72,495,513`	0.821	0.179	0.000
rs144892944 lBF = `13.3907` Chr`1` : `239,066,498`	0.821	0.179	0.000
rs111964182 lBF = `16.7459` Chr`1` : `84,193,142`	0.821	0.179	0.000
rs76053268 lBF = `14.7595` Chr`7` : `101,478,402`	0.821	0.179	0.000
rs114257644 lBF = `11.5193` Chr`4` : `164,616,687`	0.820	0.180	0.000
rs117647575 lBF = `15.1304` Chr`17` : `71,591,669`	0.820	0.180	0.000
rs7558007 lBF = `7.10506` Chr`2` : `58,350,504`	0.819	0.181	0.000
rs13251303 lBF = `21.0972` Chr`8` : `34,230,938`	0.819	0.181	0.000
rs78015367 lBF = `11.8247` Chr`5` : `61,608,981`	0.819	0.181	0.000
rs75293791 lBF = `24.7863` Chr`2` : `102,767,023`	0.819	0.181	0.000
rs61854878 lBF = `14.7592` Chr`10` : `45,736,656`	0.818	0.182	0.000
rs116716590 lBF = `15.2227` Chr`1` : `230,953,151`	0.818	0.182	0.000
rs78803320 lBF = `9.53531` Chr`4` : `28,241,600`	0.818	0.182	0.000
rs78471656 lBF = `30.7699` Chr`1` : `77,014,674`	0.816	0.184	0.000
rs117985388 lBF = `18.0317` Chr`20` : `59,959,761`	0.816	0.184	0.000
rs117420548 lBF = `14.7286` Chr`7` : `104,775,976`	0.816	0.184	0.000
rs117032670 lBF = `19.5025` Chr`17` : `7,807,438`	0.816	0.184	0.000
rs61874140 lBF = `12.9265` Chr`10` : `123,435,982`	0.814	0.186	0.000
rs2183271 lBF = `21.2295` Chr`10` : `21,957,229`	0.814	0.186	0.000
rs72730448 lBF = `14.5786` Chr`1` : `93,533,524`	0.814	0.186	0.000
rs117500008 lBF = `15.3496` Chr`8` : `101,671,045`	0.814	0.186	0.000
rs75004325 lBF = `14.3185` Chr`9` : `73,586,372`	0.813	0.187	0.000
rs113040697 lBF = `28.1855` Chr`8` : `118,185,308`	0.813	0.187	0.000
rs72822535 lBF = `18.9213` Chr`5` : `178,907,041`	0.813	0.187	0.000
rs74625856 lBF = `95.8612` Chr`6` : `161,313,619`	0.813	0.187	0.000
rs2678912 lBF = `7.34991` Chr`2` : `58,145,973`	0.812	0.188	0.000
rs75714869 lBF = `16.8432` Chr`19` : `34,236,415`	0.811	0.189	0.000
rs117843550 lBF = `13.8383` Chr`7` : `144,155,010`	0.810	0.190	0.000
rs72955118 lBF = `14.2942` Chr`3` : `71,869,056`	0.810	0.190	0.000
rs114639805 lBF = `17.9862` Chr`5` : `152,612,967`	0.810	0.190	0.000
rs80210050 lBF = `16.8521` Chr`4` : `184,265,904`	0.809	0.191	0.000
rs12896812 lBF = `15.8059` Chr`14` : `104,324,496`	0.809	0.191	0.000
rs114383600 lBF = `28.0206` Chr`5` : `58,193,856`	0.808	0.192	0.000
rs116846802 lBF = `15.7665` Chr`20` : `61,772,029`	0.808	0.192	0.000
rs116369005 lBF = `22.4527` Chr`6` : `31,847,418`	0.807	0.193	0.000
rs12423747 lBF = `15.1947` Chr`12` : `71,084,299`	0.807	0.193	0.000
rs111751241 lBF = `9.57727` Chr`1` : `183,349,952`	0.807	0.193	0.000
rs74726954 lBF = `15.8186` Chr`5` : `88,738,190`	0.807	0.193	0.000
rs12356674 lBF = `32.1341` Chr`10` : `21,889,083`	0.807	0.193	0.000
rs112425727 lBF = `11.6766` Chr`1` : `239,088,889`	0.807	0.193	0.000
rs9970786 lBF = `11.6766` Chr`1` : `239,090,514`	0.807	0.193	0.000
rs72652478 lBF = `14.3802` Chr`9` : `22,102,043`	0.806	0.194	0.000
rs55968350 lBF = `15.4456` Chr`3` : `126,904,733`	0.806	0.194	0.000
rs113177748 lBF = `11.695` Chr`1` : `239,092,298`	0.806	0.194	0.000
rs79449300 lBF = `14.3722` Chr`6` : `150,224,475`	0.805	0.194	0.000
rs79144467 lBF = `15.3649` Chr`4` : `176,504,741`	0.805	0.195	0.000
rs117790077 lBF = `15.5269` Chr`20` : `49,029,760`	0.805	0.195	0.000
rs2106212 lBF = `24.403` Chr`8` : `12,569,241`	0.805	0.195	0.000
rs117593677 lBF = `14.7112` Chr`9` : `21,318,205`	0.805	0.195	0.000
rs117744154 lBF = `14.3775` Chr`18` : `27,353,198`	0.804	0.196	0.000
rs61944384 lBF = `10.148` Chr`12` : `111,952,215`	0.000	0.196	0.804
rs2111471 lBF = `14.438` Chr`2` : `56,559,672`	0.804	0.196	0.000
rs117708929 lBF = `24.4858` Chr`6` : `124,879,601`	0.804	0.196	0.000
rs112161290 lBF = `22.7791` Chr`7` : `37,129,797`	0.803	0.197	0.000
rs117437287 lBF = `16.5299` Chr`12` : `23,389,839`	0.803	0.197	0.000
rs11822525 lBF = `43.7065` Chr`11` : `15,891,299`	0.803	0.197	0.000
rs74840965 lBF = `28.8326` Chr`7` : `39,677,916`	0.802	0.198	0.000
rs34634894 lBF = `20.2004` Chr`9` : `82,652,022`	0.802	0.198	0.000
rs76574709 lBF = `17.264` Chr`1` : `12,743,326`	0.802	0.198	0.000
rs116609675 lBF = `13.7421` Chr`2` : `21,479,113`	0.801	0.199	0.000
rs16895802 lBF = `8.13994` Chr`4` : `17,815,889`	0.801	0.199	0.000
rs117662109 lBF = `19.3722` Chr`14` : `47,236,919`	0.801	0.199	0.000
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rs62402484 lBF = `15.7618` Chr`6` : `21,913,816`	0.733	0.266	0.000
rs79531373 lBF = `9.31927` Chr`9` : `137,906,597`	0.734	0.266	0.000
rs55783015 lBF = `20.745` Chr`10` : `127,276,562`	0.733	0.267	0.000
rs76342601 lBF = `14.7362` Chr`18` : `42,826,367`	0.733	0.267	0.000
rs1539454 lBF = `14.3346` Chr`1` : `219,983,780`	0.733	0.267	0.000
rs117291711 lBF = `13.4753` Chr`6` : `77,342,861`	0.732	0.268	0.000
rs188140481 lBF = `18.2034` Chr`8` : `128,191,672`	0.732	0.268	0.000
rs118030566 lBF = `27.3147` Chr`8` : `144,403,041`	0.732	0.268	0.000
rs116853542 lBF = `17.1118` Chr`7` : `18,656,230`	0.731	0.269	0.000
rs479798 lBF = `14.5952` Chr`8` : `29,112,073`	0.731	0.269	0.000
rs117703456 lBF = `19.1338` Chr`13` : `43,083,754`	0.731	0.269	0.000
rs116932083 lBF = `29.7503` Chr`13` : `32,983,087`	0.730	0.270	0.000
rs114495629 lBF = `14.5035` Chr`1` : `245,701,098`	0.730	0.270	0.000
rs114478677 lBF = `24.4689` Chr`4` : `109,941,043`	0.730	0.270	0.000
rs116367285 lBF = `12.3707` Chr`3` : `65,094,139`	0.729	0.270	0.000
rs62402485 lBF = `14.4447` Chr`6` : `21,913,817`	0.729	0.271	0.000
rs35612407 lBF = `15.4715` Chr`4` : `141,595,197`	0.729	0.271	0.000
rs9355061 lBF = `16.4691` Chr`6` : `168,670,236`	0.728	0.271	0.000
rs150369892 lBF = `14.2967` Chr`1` : `158,517,471`	0.728	0.271	0.000
rs74678038 lBF = `16.2265` Chr`5` : `132,614,044`	0.728	0.272	0.000
rs116276575 lBF = `22.9417` Chr`1` : `59,207,425`	0.728	0.272	0.000
rs117792957 lBF = `22.6256` Chr`7` : `71,899,700`	0.728	0.272	0.000
rs74853015 lBF = `6.29916` Chr`2` : `36,865,755`	0.728	0.272	0.000
rs75489010 lBF = `27.7624` Chr`12` : `115,986,702`	0.727	0.272	0.000
rs143192258 lBF = `18.3741` Chr`11` : `56,954,985`	0.727	0.273	0.000
rs77928709 lBF = `21.6023` Chr`11` : `125,060,399`	0.727	0.273	0.000
rs3811319 lBF = `19.9487` Chr`14` : `22,482,497`	0.727	0.273	0.000
rs114112990 lBF = `28.3835` Chr`1` : `1,334,519`	0.727	0.273	0.000
rs79460104 lBF = `15.2248` Chr`9` : `79,610,628`	0.727	0.273	0.000
rs74471121 lBF = `15.6908` Chr`17` : `6,108,771`	0.727	0.273	0.000
rs9356786 lBF = `15.2486` Chr`6` : `21,914,212`	0.726	0.274	0.000
rs114165957 lBF = `23.5276` Chr`5` : `115,495,327`	0.726	0.274	0.000
rs34641959 lBF = `19.1716` Chr`16` : `85,568,804`	0.726	0.274	0.000
rs17244432 lBF = `15.3075` Chr`9` : `139,801,662`	0.726	0.274	0.000
rs3798220 lBF = `217.284` Chr`6` : `160,961,137`	0.726	0.274	0.000
rs73019330 lBF = `12.1394` Chr`2` : `168,576,763`	0.726	0.274	0.000
rs117873316 lBF = `14.6834` Chr`8` : `135,652,254`	0.725	0.274	0.000
rs10272474 lBF = `13.1578` Chr`7` : `96,155,852`	0.725	0.275	0.000
rs17431838 lBF = `16.1776` Chr`7` : `78,079,123`	0.725	0.275	0.000
rs78275090 lBF = `15.0637` Chr`13` : `56,770,414`	0.725	0.275	0.000
rs117809070 lBF = `22.8902` Chr`8` : `67,282,208`	0.725	0.275	0.000
rs116876575 lBF = `16.1237` Chr`22` : `49,899,208`	0.724	0.275	0.000
rs73593548 lBF = `16.4899` Chr`11` : `102,366,320`	0.724	0.276	0.000
rs80123541 lBF = `17.2266` Chr`6` : `110,354,662`	0.724	0.276	0.000
rs76276670 lBF = `38.5052` Chr`21` : `30,505,980`	0.724	0.276	0.000
rs75047119 lBF = `40.63` Chr`13` : `110,888,139`	0.723	0.277	0.000
rs16861232 lBF = `10.0701` Chr`3` : `148,682,436`	0.723	0.277	0.000
rs72659626 lBF = `18.2705` Chr`8` : `72,920,433`	0.723	0.277	0.000
rs61740470 lBF = `25.1179` Chr`3` : `46,491,985`	0.723	0.277	0.000
rs117420945 lBF = `15.4093` Chr`14` : `75,662,480`	0.723	0.277	0.000
rs186507655 lBF = `20.9052` Chr`1` : `1,287,055`	0.723	0.277	0.000
rs11030711 lBF = `33.6194` Chr`11` : `29,476,055`	0.722	0.277	0.000
rs116986691 lBF = `22.3468` Chr`10` : `87,698,378`	0.722	0.278	0.000
rs71325459 lBF = `16.2121` Chr`20` : `62,268,341`	0.000	0.278	0.722
rs80301618 lBF = `14.6641` Chr`17` : `70,922,471`	0.722	0.278	0.000
rs112424909 lBF = `17.4922` Chr`18` : `9,705,858`	0.722	0.278	0.000
rs61756485 lBF = `16.787` Chr`12` : `99,020,125`	0.722	0.278	0.000
rs73177040 lBF = `26.055` Chr`22` : `46,625,638`	0.722	0.278	0.000
rs17069122 lBF = `7.67561` Chr`6` : `108,323,759`	0.722	0.278	0.000
rs114897391 lBF = `14.311` Chr`15` : `96,065,019`	0.721	0.279	0.000
rs116929209 lBF = `23.964` Chr`9` : `13,692,166`	0.721	0.279	0.000
rs115263666 lBF = `19.98` Chr`1` : `195,978,714`	0.721	0.279	0.000
rs9832761 lBF = `14.5966` Chr`3` : `4,431,283`	0.721	0.279	0.000
rs6676535 lBF = `9.81377` Chr`1` : `239,079,309`	0.720	0.280	0.000
rs7865516 lBF = `23.7461` Chr`9` : `16,113,134`	0.720	0.280	0.000
rs75376680 lBF = `19.3682` Chr`3` : `18,052,434`	0.719	0.281	0.000
rs35661976 lBF = `15.2186` Chr`5` : `1,243,699`	0.719	0.281	0.000
rs117733303 lBF = `216.685` Chr`6` : `160,922,870`	0.719	0.281	0.000
rs76822006 lBF = `39.2942` Chr`13` : `50,922,728`	0.719	0.281	0.000
rs117997774 lBF = `15.7924` Chr`11` : `60,280,008`	0.718	0.282	0.000
rs77923642 lBF = `16.5171` Chr`6` : `167,359,606`	0.718	0.282	0.000
rs62435563 lBF = `16.2327` Chr`6` : `156,589,160`	0.718	0.282	0.000
rs78755503 lBF = `26.9163` Chr`5` : `115,756,616`	0.717	0.283	0.000
rs115225351 lBF = `34.2094` Chr`4` : `110,732,386`	0.717	0.283	0.000
rs114506037 lBF = `15.3443` Chr`4` : `47,204,125`	0.717	0.283	0.000
rs180910263 lBF = `12.8752` Chr`11` : `70,311,045`	0.717	0.283	0.000
rs7871607 lBF = `24.204` Chr`9` : `85,546,352`	0.717	0.283	0.000
rs6708110 lBF = `8.38552` Chr`2` : `4,054,805`	0.717	0.283	0.000
rs116186330 lBF = `20.4189` Chr`3` : `38,631,145`	0.717	0.283	0.000
rs114281340 lBF = `22.5343` Chr`5` : `162,746,934`	0.716	0.284	0.000
rs41280725 lBF = `19.7128` Chr`9` : `5,469,654`	0.716	0.284	0.000
rs118124984 lBF = `22.9554` Chr`8` : `106,184,779`	0.716	0.284	0.000
rs9457925 lBF = `223.212` Chr`6` : `160,848,743`	0.716	0.284	0.000
rs138522855 lBF = `21.8188` Chr`7` : `76,140,330`	0.716	0.284	0.000
rs149773673 lBF = `6.57833` Chr`13` : `104,749,836`	0.716	0.284	0.000
rs75683534 lBF = `22.4278` Chr`15` : `65,116,390`	0.715	0.285	0.000
rs76770395 lBF = `36.5601` Chr`5` : `169,499,663`	0.715	0.285	0.000
rs17151324 lBF = `13.5138` Chr`5` : `123,531,038`	0.715	0.285	0.000
rs74687512 lBF = `14.1793` Chr`1` : `200,901,543`	0.715	0.285	0.000
rs36118983 lBF = `13.8019` Chr`10` : `91,313,291`	0.715	0.285	0.000
rs74427637 lBF = `7.16635` Chr`3` : `792,827`	0.714	0.286	0.000
rs72941843 lBF = `24.4224` Chr`6` : `105,906,081`	0.714	0.286	0.000
rs62128682 lBF = `22.6156` Chr`19` : `47,978,171`	0.714	0.286	0.000
rs77603112 lBF = `33.2101` Chr`15` : `47,488,446`	0.714	0.286	0.000
rs117471497 lBF = `18.6452` Chr`20` : `851,571`	0.714	0.286	0.000
rs7572081 lBF = `2.78476` Chr`2` : `15,509,146`	0.714	0.286	0.000
rs116701331 lBF = `14.5351` Chr`2` : `195,567,306`	0.714	0.286	0.000
rs16889916 lBF = `20.7757` Chr`6` : `24,989,384`	0.713	0.287	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 X0333

log Bayes Factor = 38.671

contains 2 variants

0.6358

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.6243

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.1511

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9999

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9994

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.9986

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.9985

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.9979

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9977

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9973

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.9962

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.9958

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.9956

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.9954

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.9951

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.9926

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9925

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.9921

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.9902

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9885

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.9855

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.9839

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.9836

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9836

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9816

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.9810

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.9802

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.9794

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.9773

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9770

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.9748

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9745

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.9737

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.9733

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.9579

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.9545

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.9508

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.9479

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.9455

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.9450

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.9429

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.9406

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.9406

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.9357

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.9328

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.9323

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.9295

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.9246

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.9182

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9141

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.9094

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9029

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.9009

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.8934

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.8930

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.8911

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.8814

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.8813

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.8798

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.8785

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.8771

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.8732

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.8673

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.8590

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.8557

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.8484

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.8439

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.8408

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.8373

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.8267

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.8252

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.8191

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.8130

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.8069

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.8023

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.7944

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.7939

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.7882

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.7875

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.7832

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.7786

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.7785

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.7672

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.7659

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.7556

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.7529

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.7380

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.7158

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.7087

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.7028

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.6991

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.6967

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.6928

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.6881

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.6767

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.6766

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.6507

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.6386

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.6347

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.6134

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.6045

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.5955

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.5872

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.5859

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.5822

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.5796

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.5761

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.5726

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.5694

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.5477

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.5473

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.5318

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.5189

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.5111

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.5048

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.4925

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.4800

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.4041

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.3984

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.3880

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.3781

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.3760

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.3627

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.3588

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.3374

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.3222

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.3122

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.3095

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.2931

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.2897

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.2686

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.2384

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.1975

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.1355

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.0988

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.0961

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.0956

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.0914

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.0795

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.0706

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.0676

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.0620

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.0593

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.0559

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.0524

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.

Parent term	Z80-Z99 Persons with potential health hazards related to family and personal history and certain conditions influencing health status
Nested terms	Z97.0 Presence of artificial eye Z97.1 Presence of artificial limb (complete)(partial) Z97.2 Presence of dental prosthetic device (complete)(partial) Z97.3 Presence of spectacles and contact lenses Z97.4 Presence of external hearing-aid Z97.5 Presence of (intra-uterine) contraceptive device Z97.8 Presence of other specified devices

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`)