TreeWAS – [Z91.5] Personal history of self-harm

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
rs72748988 lBF = `19.0653` Chr`9` : `92,041,530`	0.845	0.155	0.000
rs77005723 lBF = `23.0241` Chr`9` : `131,211,201`	0.829	0.171	0.000
rs72746681 lBF = `16.7306` Chr`9` : `88,643,632`	0.825	0.175	0.000
rs118011544 lBF = `16.5306` Chr`9` : `137,236,911`	0.812	0.188	0.000
rs35303200 lBF = `18.3789` Chr`9` : `82,740,305`	0.684	0.316	0.000
rs55760117 lBF = `18.9306` Chr`9` : `129,740,272`	0.679	0.321	0.000
rs72652478 lBF = `14.3802` Chr`9` : `22,102,043`	0.668	0.332	0.000
rs75004325 lBF = `14.3185` Chr`9` : `73,586,372`	0.662	0.338	0.000
rs78296588 lBF = `15.8425` Chr`9` : `102,305,131`	0.632	0.368	0.000
rs7865516 lBF = `23.7461` Chr`9` : `16,113,134`	0.628	0.372	0.000
rs16925263 lBF = `17.4118` Chr`9` : `7,060,997`	0.618	0.382	0.000
rs56065549 lBF = `11.9825` Chr`9` : `95,906,364`	0.612	0.388	0.000
rs138633335 lBF = `19.1105` Chr`9` : `137,459,325`	0.603	0.397	0.000
rs1333005 lBF = `17.474` Chr`9` : `130,042,369`	0.595	0.405	0.000
rs117540688 lBF = `12.0488` Chr`9` : `6,064,428`	0.575	0.425	0.000
rs77911647 lBF = `25.709` Chr`9` : `37,580,543`	0.572	0.428	0.000
rs60250264 lBF = `1.93414` Chr`9` : `8,897,187`	0.570	0.429	0.000
rs80234524 lBF = `8.67109` Chr`9` : `102,716,279`	0.534	0.466	0.000
rs76909134 lBF = `18.6929` Chr`9` : `138,798,380`	0.534	0.466	0.000
rs116961907 lBF = `20.2002` Chr`9` : `28,511,184`	0.531	0.469	0.000
rs79531373 lBF = `9.31927` Chr`9` : `137,906,597`	0.517	0.483	0.000
rs34634894 lBF = `20.2004` Chr`9` : `82,652,022`	0.512	0.487	0.000
rs77427150 lBF = `13.5234` Chr`9` : `101,239,130`	0.512	0.488	0.000
rs116929209 lBF = `23.964` Chr`9` : `13,692,166`	0.497	0.503	0.000
rs75087119 lBF = `17.2273` Chr`9` : `7,426,671`	0.497	0.503	0.000
rs78617806 lBF = `13.7235` Chr`9` : `109,377,753`	0.490	0.510	0.000
rs12342947 lBF = `20.0509` Chr`9` : `7,026,860`	0.479	0.521	0.000
rs78199931 lBF = `17.2832` Chr`9` : `140,865,334`	0.478	0.522	0.000
rs913351 lBF = `10.5594` Chr`9` : `130,033,547`	0.475	0.525	0.000
rs41280725 lBF = `19.7128` Chr`9` : `5,469,654`	0.472	0.528	0.000
rs78755596 lBF = `34.803` Chr`9` : `136,124,590`	0.471	0.529	0.000
rs147338646 lBF = `5.39391` Chr`9` : `11,812,813`	0.462	0.538	0.000
rs75125430 lBF = `16.6037` Chr`9` : `24,472,623`	0.454	0.546	0.000
rs117120696 lBF = `20.1492` Chr`9` : `81,426,723`	0.450	0.550	0.000
rs117499721 lBF = `28.8784` Chr`9` : `116,579,948`	0.416	0.584	0.000
rs41314453 lBF = `10.1695` Chr`9` : `136,307,825`	0.408	0.592	0.000
rs72756269 lBF = `20.6952` Chr`9` : `119,147,710`	0.407	0.593	0.000
rs117754409 lBF = `15.5268` Chr`9` : `13,934,924`	0.387	0.613	0.000
rs10283576 lBF = `19.8492` Chr`9` : `88,106,667`	0.386	0.614	0.000
rs117593677 lBF = `14.7112` Chr`9` : `21,318,205`	0.380	0.620	0.000
rs62571477 lBF = `27.2395` Chr`9` : `137,865,056`	0.379	0.620	0.000
rs78608331 lBF = `12.388` Chr`9` : `13,257,251`	0.368	0.632	0.000
rs75622023 lBF = `16.1719` Chr`9` : `28,607,634`	0.359	0.640	0.000
rs117362775 lBF = `13.8721` Chr`9` : `112,587,101`	0.359	0.641	0.000
rs78119065 lBF = `14.991` Chr`9` : `1,833,972`	0.354	0.646	0.000
rs79460104 lBF = `15.2248` Chr`9` : `79,610,628`	0.344	0.656	0.000
rs3731249 lBF = `12.0614` Chr`9` : `21,970,916`	0.343	0.657	0.000
rs16925298 lBF = `10.4186` Chr`9` : `7,081,674`	0.327	0.673	0.000
rs118156051 lBF = `16.9077` Chr`9` : `103,381,388`	0.325	0.675	0.000
rs56281909 lBF = `11.3432` Chr`9` : `4,418,821`	0.306	0.694	0.001
rs7871607 lBF = `24.204` Chr`9` : `85,546,352`	0.303	0.697	0.000
rs16906350 lBF = `1.89955` Chr`9` : `120,618,956`	0.298	0.702	0.000
rs76718115 lBF = `14.4603` Chr`9` : `112,413,997`	0.277	0.722	0.001
rs17244432 lBF = `15.3075` Chr`9` : `139,801,662`	0.267	0.733	0.000
rs72745135 lBF = `15.0573` Chr`9` : `78,973,431`	0.255	0.745	0.000
rs117091812 lBF = `12.7428` Chr`9` : `81,272,613`	0.255	0.745	0.000
rs17857515 lBF = `18.2473` Chr`9` : `32,542,278`	0.252	0.748	0.000
rs12000567 lBF = `4.07403` Chr`9` : `789,499`	0.249	0.750	0.001
rs144087410 lBF = `1.81966` Chr`9` : `5,185,581`	0.232	0.768	0.000
rs1175605 lBF = `18.1644` Chr`9` : `95,233,248`	0.232	0.768	0.000
rs73556638 lBF = `15.5477` Chr`9` : `139,034,164`	0.206	0.794	0.001
rs73387635 lBF = `15.4845` Chr`9` : `1,814,698`	0.197	0.803	0.000
rs12336160 lBF = `0.996007` Chr`9` : `33,283,582`	0.193	0.807	0.000
rs111600634 lBF = `1.82236` Chr`9` : `120,618,625`	0.192	0.808	0.000
rs74862371 lBF = `16.8875` Chr`9` : `7,028,832`	0.184	0.816	0.000
rs1417290 lBF = `17.5513` Chr`9` : `7,046,917`	0.182	0.817	0.000
rs62574559 lBF = `13.3756` Chr`9` : `96,366,133`	0.180	0.820	0.000
rs142944815 lBF = `2.59871` Chr`9` : `8,773,566`	0.179	0.821	0.000
rs73644982 lBF = `13.9807` Chr`9` : `32,523,117`	0.178	0.822	0.000
rs117488235 lBF = `19.2182` Chr`9` : `15,707,430`	0.163	0.836	0.000
rs10973964 lBF = `14.244` Chr`9` : `38,669,362`	0.157	0.843	0.000
rs118036720 lBF = `22.9077` Chr`9` : `5,408,587`	0.144	0.856	0.000
rs77048935 lBF = `15.1563` Chr`9` : `114,316,981`	0.139	0.861	0.000
rs77745943 lBF = `12.1624` Chr`9` : `99,034,907`	0.138	0.861	0.000
rs116995584 lBF = `15.4671` Chr`9` : `76,040,600`	0.136	0.863	0.000
rs1038195 lBF = `18.4342` Chr`9` : `137,855,660`	0.135	0.864	0.000
rs74304768 lBF = `17.1946` Chr`9` : `79,606,878`	0.122	0.878	0.000
rs185095244 lBF = `0.251196` Chr`9` : `8,766,114`	0.120	0.880	0.000
rs1907805 lBF = `7.59783` Chr`9` : `94,451,965`	0.097	0.903	0.000
rs77437704 lBF = `13.6847` Chr`9` : `79,623,352`	0.085	0.915	0.000
rs117863381 lBF = `15.4135` Chr`9` : `82,517,509`	0.080	0.920	0.000
rs11539570 lBF = `10.2471` Chr`9` : `131,084,628`	0.073	0.926	0.001
rs10993738 lBF = `0.58737` Chr`9` : `93,633,240`	0.070	0.930	0.000
rs16928280 lBF = `6.01786` Chr`9` : `8,695,233`	0.066	0.933	0.000
rs186821245 lBF = `0.265221` Chr`9` : `136,606,035`	0.064	0.936	0.000
rs10984730 lBF = `5.19571` Chr`9` : `100,766,795`	0.051	0.949	0.000
rs4743820 lBF = `0.00585076` Chr`9` : `93,928,416`	0.046	0.954	0.000
rs7024058 lBF = `17.5874` Chr`9` : `1,938,082`	0.044	0.955	0.001
rs117217495 lBF = `16.3591` Chr`9` : `24,538,142`	0.041	0.959	0.000
rs111571219 lBF = `14.5965` Chr`9` : `102,420,794`	0.041	0.959	0.000
rs117520190 lBF = `16.2172` Chr`9` : `98,903,902`	0.041	0.959	0.000
rs58680346 lBF = `5.13866` Chr`9` : `7,604,965`	0.041	0.959	0.000
rs72752974 lBF = `6.14767` Chr`9` : `92,516,854`	0.038	0.962	0.000
rs74729480 lBF = `14.6486` Chr`9` : `137,375,254`	0.037	0.963	0.000
rs76260868 lBF = `20.5517` Chr`9` : `80,422,239`	0.037	0.963	0.000
rs117933286 lBF = `14.503` Chr`9` : `81,306,530`	0.032	0.968	0.000
rs56190763 lBF = `13.9754` Chr`9` : `91,343,917`	0.029	0.971	0.000
rs76662872 lBF = `8.28126` Chr`9` : `78,995,731`	0.029	0.971	0.000
rs10114038 lBF = `1.31177` Chr`9` : `127,327,763`	0.026	0.974	0.000
rs1003858 lBF = `0.0123863` Chr`9` : `118,964,955`	0.022	0.978	0.000
rs11789912 lBF = `15.8406` Chr`9` : `130,605,739`	0.020	0.980	0.000
rs80321149 lBF = `13.0616` Chr`9` : `16,150,000`	0.019	0.981	0.000
rs76605533 lBF = `18.0219` Chr`9` : `100,624,553`	0.013	0.986	0.000
rs7024300 lBF = `0.04881` Chr`9` : `107,589,567`	0.000	0.988	0.012
rs4979462 lBF = `0.196688` Chr`9` : `117,567,013`	0.011	0.988	0.000
rs113607577 lBF = `0.0172672` Chr`9` : `77,455,459`	0.011	0.988	0.000
rs117415762 lBF = `13.5576` Chr`9` : `77,698,356`	0.011	0.989	0.000
rs117571560 lBF = `14.6503` Chr`9` : `76,169,871`	0.011	0.989	0.000
rs4977574 lBF = `376.576` Chr`9` : `22,098,574`	0.010	0.990	0.000
rs11793049 lBF = `-0.0808728` Chr`9` : `116,773,869`	0.009	0.991	0.000
rs4877801 lBF = `12.8244` Chr`9` : `86,337,432`	0.009	0.991	0.000
rs74732462 lBF = `7.95748` Chr`9` : `133,436,054`	0.009	0.991	0.000
rs7866503 lBF = `386.896` Chr`9` : `22,091,924`	0.008	0.992	0.000
rs3933796 lBF = `7.86721` Chr`9` : `96,185,405`	0.008	0.992	0.000
rs79299247 lBF = `13.7264` Chr`9` : `82,970,155`	0.008	0.992	0.000
rs76733568 lBF = `27.8026` Chr`9` : `24,659,540`	0.008	0.992	0.000
rs12554020 lBF = `7.49373` Chr`9` : `96,270,237`	0.008	0.992	0.000
rs139863644 lBF = `0.00339663` Chr`9` : `5,972,759`	0.008	0.992	0.000
rs111873027 lBF = `0.00829232` Chr`9` : `126,953,640`	0.007	0.992	0.000
rs10758732 lBF = `11.2727` Chr`9` : `5,991,772`	0.007	0.992	0.000
rs1333042 lBF = `395.398` Chr`9` : `22,103,813`	0.007	0.993	0.000
rs17779457 lBF = `0.158903` Chr`9` : `27,488,092`	0.000	0.993	0.007
rs10812610 lBF = `1.17372` Chr`9` : `27,533,984`	0.007	0.993	0.000
rs2891168 lBF = `383.279` Chr`9` : `22,098,619`	0.007	0.993	0.000
rs72758841 lBF = `0.00678835` Chr`9` : `131,475,583`	0.007	0.993	0.000
rs114356520 lBF = `0.0111969` Chr`9` : `112,128,998`	0.006	0.994	0.000
rs944797 lBF = `364.833` Chr`9` : `22,115,286`	0.006	0.994	0.000
rs77528658 lBF = `12.135` Chr`9` : `104,204,920`	0.006	0.994	0.000
rs10757274 lBF = `379.837` Chr`9` : `22,096,055`	0.006	0.994	0.000
rs2814707 lBF = `-0.043331` Chr`9` : `27,536,397`	0.000	0.994	0.006
rs1333049 lBF = `356.271` Chr`9` : `22,125,503`	0.005	0.995	0.000
rs62531470 lBF = `1.6886` Chr`9` : `540,319`	0.005	0.995	0.000
rs184522131 lBF = `1.69043` Chr`9` : `90,177,521`	0.005	0.995	0.001
rs7033137 lBF = `-0.0286907` Chr`9` : `72,055,158`	0.005	0.995	0.000
rs10738607 lBF = `371.077` Chr`9` : `22,088,094`	0.005	0.995	0.000
rs10757272 lBF = `363.174` Chr`9` : `22,088,260`	0.005	0.995	0.000
rs7863943 lBF = `13.4081` Chr`9` : `100,306,204`	0.004	0.996	0.000
rs17496354 lBF = `5.1598` Chr`9` : `140,566,936`	0.004	0.996	0.000
rs187979858 lBF = `0.0135995` Chr`9` : `136,600,098`	0.004	0.996	0.000
rs10733376 lBF = `361.867` Chr`9` : `22,114,469`	0.004	0.996	0.000
rs12000457 lBF = `0.0170966` Chr`9` : `86,944,425`	0.004	0.996	0.000
rs7045620 lBF = `14.6764` Chr`9` : `137,836,809`	0.004	0.996	0.000
rs2383207 lBF = `354.618` Chr`9` : `22,115,959`	0.000	0.996	0.004
rs7853605 lBF = `7.60017` Chr`9` : `96,213,529`	0.004	0.996	0.000
rs1333047 lBF = `375.052` Chr`9` : `22,124,504`	0.003	0.997	0.000
rs3849942 lBF = `0.390597` Chr`9` : `27,543,281`	0.003	0.997	0.000
rs3849943 lBF = `0.388955` Chr`9` : `27,543,382`	0.003	0.997	0.000
rs10980800 lBF = `-0.0244319` Chr`9` : `113,915,905`	0.003	0.997	0.000
rs10819861 lBF = `-0.0675875` Chr`9` : `98,867,813`	0.003	0.997	0.000
rs36206051 lBF = `0.102509` Chr`9` : `90,207,626`	0.000	0.997	0.003
rs118043898 lBF = `0.0258933` Chr`9` : `24,431,792`	0.003	0.997	0.000
rs117233030 lBF = `16.6065` Chr`9` : `14,348,774`	0.003	0.997	0.000
rs76153552 lBF = `18.1323` Chr`9` : `95,913,866`	0.003	0.997	0.000
rs16933006 lBF = `-0.0394332` Chr`9` : `15,335,914`	0.000	0.997	0.003
rs377310910 lBF = `0.0488873` Chr`9` : `1,940,937`	0.000	0.997	0.003
rs10757278 lBF = `355.344` Chr`9` : `22,124,477`	0.003	0.997	0.000
rs7046653 lBF = `0.676225` Chr`9` : `27,490,967`	0.003	0.997	0.000
rs35775808 lBF = `0.734475` Chr`9` : `102,225,544`	0.000	0.997	0.003
rs4838320 lBF = `0.163612` Chr`9` : `128,831,097`	0.000	0.997	0.003
rs10120372 lBF = `0.237676` Chr`9` : `108,440,542`	0.000	0.997	0.003
rs10815355 lBF = `0.00477494` Chr`9` : `622,523`	0.002	0.997	0.000
rs872863 lBF = `-0.0302781` Chr`9` : `126,154,354`	0.003	0.997	0.000
rs7867155 lBF = `-0.0449526` Chr`9` : `98,827,814`	0.003	0.997	0.000
rs10811771 lBF = `-0.0493905` Chr`9` : `22,770,886`	0.000	0.997	0.003
rs7869190 lBF = `0.0175485` Chr`9` : `5,551,945`	0.002	0.998	0.000
rs7864133 lBF = `0.00190717` Chr`9` : `84,053,686`	0.002	0.998	0.000
rs41277101 lBF = `5.09532` Chr`9` : `36,337,253`	0.002	0.998	0.000
rs1929412 lBF = `0.0143466` Chr`9` : `11,951,222`	0.002	0.998	0.000
rs143639284 lBF = `0.00187276` Chr`9` : `5,140,958`	0.002	0.998	0.000
rs1968498 lBF = `9.0386` Chr`9` : `86,696,174`	0.001	0.998	0.001
rs7038114 lBF = `8.37975` Chr`9` : `79,382,773`	0.002	0.998	0.000
rs55856550 lBF = `15.678` Chr`9` : `22,364,370`	0.002	0.998	0.000
rs10819009 lBF = `6.78047` Chr`9` : `98,367,811`	0.000	0.998	0.002
rs2501559 lBF = `6.41319` Chr`9` : `140,565,196`	0.002	0.998	0.000
rs72658409 lBF = `0.114847` Chr`9` : `22,160,087`	0.002	0.998	0.000
rs17059531 lBF = `0.00904484` Chr`9` : `76,492,427`	0.000	0.998	0.002
rs9408928 lBF = `-0.0348169` Chr`9` : `123,951,917`	0.000	0.998	0.002
rs74308953 lBF = `0.00117694` Chr`9` : `121,431,189`	0.002	0.998	0.000
rs2043144 lBF = `-0.00932687` Chr`9` : `73,950,955`	0.002	0.998	0.000
rs10974531 lBF = `-0.0178295` Chr`9` : `4,426,631`	0.002	0.998	0.000
rs77418183 lBF = `12.5886` Chr`9` : `21,929,486`	0.001	0.998	0.000
rs79791727 lBF = `11.6893` Chr`9` : `36,801,459`	0.002	0.998	0.000
rs182700414 lBF = `0.00117781` Chr`9` : `121,971,770`	0.001	0.998	0.000
rs7031325 lBF = `0.0899183` Chr`9` : `6,655,056`	0.002	0.998	0.000
rs114646018 lBF = `0.00725446` Chr`9` : `18,890,061`	0.001	0.998	0.000
rs774359 lBF = `-0.0186871` Chr`9` : `27,561,049`	0.000	0.998	0.002
rs1333048 lBF = `369.305` Chr`9` : `22,125,347`	0.001	0.998	0.000
rs1414253 lBF = `9.4812` Chr`9` : `21,755,630`	0.002	0.998	0.000
rs7021404 lBF = `0.00087256` Chr`9` : `25,414,051`	0.001	0.999	0.000
rs10971170 lBF = `1.70493` Chr`9` : `32,870,068`	0.001	0.999	0.000
rs17584499 lBF = `0.0492266` Chr`9` : `8,879,118`	0.001	0.999	0.000
rs10965235 lBF = `-0.00159282` Chr`9` : `22,115,105`	0.000	0.999	0.001
rs1123970 lBF = `-0.0641522` Chr`9` : `2,328,213`	0.001	0.999	0.000
rs113989315 lBF = `8.44186` Chr`9` : `7,086,245`	0.001	0.999	0.000
rs34390775 lBF = `10.8706` Chr`9` : `140,702,339`	0.001	0.999	0.000
rs7861963 lBF = `-0.0038932` Chr`9` : `128,178,907`	0.000	0.999	0.001
rs79481790 lBF = `5.06567` Chr`9` : `73,702,520`	0.001	0.999	0.000
rs294845 lBF = `0.0295763` Chr`9` : `10,139,580`	0.000	0.999	0.001
rs80124314 lBF = `6.72987` Chr`9` : `30,283,216`	0.001	0.999	0.000
rs6475606 lBF = `331.139` Chr`9` : `22,081,850`	0.001	0.999	0.000
rs2805062 lBF = `0.0124346` Chr`9` : `24,560,577`	0.001	0.999	0.000
rs9408926 lBF = `-0.0158922` Chr`9` : `123,914,874`	0.000	0.999	0.001
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rs1360517 lBF = `0.0789714` Chr`9` : `13,007,129`	0.000	1.000	0.000
rs2210327 lBF = `0.00985079` Chr`9` : `18,109,235`	0.000	1.000	0.000
rs2094962 lBF = `-0.0149877` Chr`9` : `137,816,459`	0.000	1.000	0.000
rs117926975 lBF = `4.43495` Chr`9` : `97,358,141`	0.000	1.000	0.000
rs150484890 lBF = `2.77875` Chr`9` : `6,643,981`	0.000	1.000	0.000
rs17461620 lBF = `0.49764` Chr`9` : `88,963,008`	0.000	1.000	0.000
rs7020830 lBF = `0.0286682` Chr`9` : `37,085,184`	0.000	1.000	0.000
rs10993160 lBF = `-0.0135773` Chr`9` : `97,068,926`	0.000	1.000	0.000
rs1342326 lBF = `36.626` Chr`9` : `6,190,076`	0.000	1.000	0.000
rs77322120 lBF = `13.2546` Chr`9` : `101,171,443`	0.000	1.000	0.000
rs13288988 lBF = `0.636504` Chr`9` : `11,114,858`	0.000	1.000	0.000
rs2282335 lBF = `0.377516` Chr`9` : `71,865,932`	0.000	1.000	0.000
rs117260909 lBF = `0.304807` Chr`9` : `3,195,775`	0.000	1.000	0.000
rs183433444 lBF = `0.144796` Chr`9` : `126,555,988`	0.000	1.000	0.000
rs148359873 lBF = `0.00976771` Chr`9` : `31,450,666`	0.000	1.000	0.000
rs4744712 lBF = `-0.0750718` Chr`9` : `71,434,707`	0.000	1.000	0.000
rs56343119 lBF = `60.1445` Chr`9` : `136,237,672`	0.000	1.000	0.000
rs907581 lBF = `41.3431` Chr`9` : `100,622,189`	0.000	1.000	0.000
rs74776058 lBF = `16.3733` Chr`9` : `30,014,333`	0.000	1.000	0.000
rs1535459 lBF = `0.239679` Chr`9` : `10,550,204`	0.000	1.000	0.000
rs10961577 lBF = `0.0718727` Chr`9` : `14,562,314`	0.000	1.000	0.000
rs1325154 lBF = `0.00855956` Chr`9` : `12,582,565`	0.000	1.000	0.000
rs6476030 lBF = `0.00137645` Chr`9` : `289,061`	0.000	1.000	0.000
rs72700966 lBF = `-0.0322007` Chr`9` : `10,505,224`	0.000	1.000	0.000
rs643531 lBF = `11.8826` Chr`9` : `15,296,034`	0.000	1.000	0.000
Affx-33350288 lBF = `7.64136` Chr`9` : `136,350,150`	0.000	1.000	0.000
rs1359742 lBF = `1.45994` Chr`9` : `22,336,996`	0.000	1.000	0.000
rs7045640 lBF = `0.303315` Chr`9` : `2,978,377`	0.000	1.000	0.000
rs12345625 lBF = `0.0619719` Chr`9` : `31,479,005`	0.000	1.000	0.000
rs10816533 lBF = `0.0260514` Chr`9` : `99,539,138`	0.000	1.000	0.000
rs334353 lBF = `-0.0332456` Chr`9` : `101,908,365`	0.000	1.000	0.000
rs12339966 lBF = `-0.0664146` Chr`9` : `11,641,243`	0.000	1.000	0.000
rs1537415 lBF = `-0.0931479` Chr`9` : `138,529,722`	0.000	1.000	0.000
rs1110183 lBF = `0.287755` Chr`9` : `38,456,365`	0.000	1.000	0.000
rs11789898 lBF = `-0.0291362` Chr`9` : `136,925,663`	0.000	1.000	0.000
rs11141915 lBF = `-0.0525759` Chr`9` : `90,235,794`	0.000	1.000	0.000
rs12554707 lBF = `-0.0688935` Chr`9` : `22,842,202`	0.000	1.000	0.000
rs979203 lBF = `10.0324` Chr`9` : `13,730,665`	0.000	1.000	0.000
rs10968749 lBF = `6.84227` Chr`9` : `28,752,484`	0.000	1.000	0.000
rs7020673 lBF = `0.904211` Chr`9` : `4,291,747`	0.000	1.000	0.000
rs2150702 lBF = `0.399886` Chr`9` : `5,893,861`	0.000	1.000	0.000
rs4978053 lBF = `0.235917` Chr`9` : `26,208,857`	0.000	1.000	0.000
rs7856675 lBF = `0.0440273` Chr`9` : `4,555,305`	0.000	1.000	0.000
rs115613582 lBF = `0.00708643` Chr`9` : `5,482,489`	0.000	1.000	0.000
rs4149263 lBF = `-0.0331005` Chr`9` : `107,677,289`	0.000	1.000	0.000
rs10511779 lBF = `-0.0394314` Chr`9` : `26,725,702`	0.000	1.000	0.000
rs10818894 lBF = `-0.0667291` Chr`9` : `126,695,770`	0.000	1.000	0.000
rs7037324 lBF = `41.2459` Chr`9` : `100,658,318`	0.000	1.000	0.000
rs7028759 lBF = `7.73393` Chr`9` : `100,677,883`	0.000	1.000	0.000
rs60589809 lBF = `0.550744` Chr`9` : `92,937,726`	0.000	1.000	0.000
rs736893 lBF = `0.12449` Chr`9` : `4,217,028`	0.000	1.000	0.000
rs4743034 lBF = `0.0384534` Chr`9` : `109,632,353`	0.000	1.000	0.000
rs3802458 lBF = `0.0294039` Chr`9` : `97,741,274`	0.000	1.000	0.000
rs2779551 lBF = `0.00679964` Chr`9` : `101,253,226`	0.000	1.000	0.000
rs10818854 lBF = `0.00070567` Chr`9` : `126,446,778`	0.000	1.000	0.000
rs10121009 lBF = `-0.084287` Chr`9` : `35,269,819`	0.000	1.000	0.000
rs1536482 lBF = `-0.0882092` Chr`9` : `137,440,528`	0.000	1.000	0.000
rs3132306 lBF = `-0.0890675` Chr`9` : `137,440,212`	0.000	1.000	0.000
rs17408309 lBF = `14.2638` Chr`9` : `71,632,265`	0.000	1.000	0.000
rs6586 lBF = `13.6487` Chr`9` : `100,666,931`	0.000	1.000	0.000
rs10758593 lBF = `0.504041` Chr`9` : `4,292,083`	0.000	1.000	0.000
rs10780944 lBF = `0.313911` Chr`9` : `73,157,416`	0.000	1.000	0.000
rs13295552 lBF = `0.233886` Chr`9` : `84,522,749`	0.000	1.000	0.000
rs1575972 lBF = `0.147061` Chr`9` : `22,301,092`	0.000	1.000	0.000
rs12380424 lBF = `0.099035` Chr`9` : `131,403,221`	0.000	1.000	0.000
rs12352279 lBF = `0.0736213` Chr`9` : `678,837`	0.000	1.000	0.000
rs876347 lBF = `0.0334952` Chr`9` : `121,031,029`	0.000	1.000	0.000
rs117347249 lBF = `0.0164813` Chr`9` : `81,368,654`	0.000	1.000	0.000
rs4879926 lBF = `0.0141498` Chr`9` : `35,700,837`	0.000	1.000	0.000
rs112541862 lBF = `0.0130169` Chr`9` : `97,483,158`	0.000	1.000	0.000
rs10962181 lBF = `0.00482127` Chr`9` : `1,595,160`	0.000	1.000	0.000
rs16929097 lBF = `-0.0324599` Chr`9` : `12,521,826`	0.000	1.000	0.000
rs10217586 lBF = `308.866` Chr`9` : `22,121,349`	0.000	1.000	0.000
rs7032572 lBF = `35.2316` Chr`9` : `6,172,380`	0.000	1.000	0.000
rs1412425 lBF = `25.8146` Chr`9` : `6,188,740`	0.000	1.000	0.000
rs117869101 lBF = `21.0144` Chr`9` : `84,429,893`	0.000	1.000	0.000
rs10511598 lBF = `5.70461` Chr`9` : `14,841,633`	0.000	1.000	0.000
rs78925264 lBF = `0.599859` Chr`9` : `9,015,087`	0.000	1.000	0.000
rs2006996 lBF = `0.374558` Chr`9` : `117,592,638`	0.000	1.000	0.000
rs7044529 lBF = `0.134957` Chr`9` : `137,568,051`	0.000	1.000	0.000
rs3780792 lBF = `0.0529221` Chr`9` : `136,835,343`	0.000	1.000	0.000
rs12555078 lBF = `0.0495429` Chr`9` : `76,157,700`	0.000	1.000	0.000
rs643410 lBF = `0.00153414` Chr`9` : `111,799,563`	0.000	1.000	0.000
rs16938145 lBF = `-0.0162183` Chr`9` : `2,256,092`	0.000	1.000	0.000
rs10989661 lBF = `-0.0175431` Chr`9` : `104,622,868`	0.000	1.000	0.000
rs10971721 lBF = `-0.0176776` Chr`9` : `33,827,694`	0.000	1.000	0.000
rs3008706 lBF = `-0.0415957` Chr`9` : `16,034,538`	0.000	1.000	0.000
rs7035284 lBF = `-0.0671117` Chr`9` : `21,678,973`	0.000	1.000	0.000
rs7042370 lBF = `-0.0990923` Chr`9` : `12,785,073`	0.000	1.000	0.000
rs78912274 lBF = `19.3426` Chr`9` : `11,274,294`	0.000	1.000	0.000
rs16925898 lBF = `18.5128` Chr`9` : `10,372,027`	0.000	1.000	0.000
rs8190560 lBF = `0.444887` Chr`9` : `99,002,185`	0.000	1.000	0.000
rs11141597 lBF = `0.16767` Chr`9` : `89,527,458`	0.000	1.000	0.000
rs7047415 lBF = `0.121204` Chr`9` : `98,541,232`	0.000	1.000	0.000
rs10986018 lBF = `0.051836` Chr`9` : `101,123,336`	0.000	1.000	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

0.3605

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.2570

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.1892

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

1.0000

Cluster X0035

log Bayes Factor = 620.567

contains 37 variants

1.0000

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

1.0000

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

1.0000

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

1.0000

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9999

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.9999

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.9999

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.9999

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.9998

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9982

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9977

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.9975

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9964

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9962

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.9938

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.9881

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.9856

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.9848

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9740

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.9571

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.9553

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.9513

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.9481

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.9296

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.9251

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.8816

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.8774

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.8449

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.8441

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.8019

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7931

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.7886

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.7867

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.7835

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.7511

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.6860

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.6593

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.6165

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.6120

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.5914

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.5635

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.5490

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.5355

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.5226

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.4785

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.4299

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.4165

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.4106

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.3992

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.3741

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.3451

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.3393

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.3386

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.2715

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.2664

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.2447

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.2366

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.2257

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.2152

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.2150

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.2050

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.1917

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.1799

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.1725

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.1487

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.1444

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.1433

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.1413

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.1404

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.1382

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.1359

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.1253

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.1196

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.1103

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.1088

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.0965

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.0915

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.0895

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.0868

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.0854

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.0825

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.0783

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.0773

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.0726

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.0621

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.0598

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`)