TreeWAS – [Z80.2] Family history of malignant neoplasm of other respiratory and intrathoracic organs

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
rs1333005 lBF = `17.474` Chr`9` : `130,042,369`	0.796	0.204	0.000
rs56065549 lBF = `11.9825` Chr`9` : `95,906,364`	0.737	0.263	0.000
rs913351 lBF = `10.5594` Chr`9` : `130,033,547`	0.718	0.282	0.000
rs117593677 lBF = `14.7112` Chr`9` : `21,318,205`	0.702	0.298	0.000
rs76909134 lBF = `18.6929` Chr`9` : `138,798,380`	0.700	0.300	0.000
rs17244432 lBF = `15.3075` Chr`9` : `139,801,662`	0.698	0.302	0.000
rs56281909 lBF = `11.3432` Chr`9` : `4,418,821`	0.693	0.307	0.000
rs117540688 lBF = `12.0488` Chr`9` : `6,064,428`	0.689	0.311	0.000
rs75004325 lBF = `14.3185` Chr`9` : `73,586,372`	0.685	0.315	0.000
rs7865516 lBF = `23.7461` Chr`9` : `16,113,134`	0.673	0.327	0.000
rs117120696 lBF = `20.1492` Chr`9` : `81,426,723`	0.614	0.385	0.000
rs138633335 lBF = `19.1105` Chr`9` : `137,459,325`	0.595	0.405	0.000
rs7871607 lBF = `24.204` Chr`9` : `85,546,352`	0.590	0.409	0.000
rs55760117 lBF = `18.9306` Chr`9` : `129,740,272`	0.581	0.419	0.000
rs75087119 lBF = `17.2273` Chr`9` : `7,426,671`	0.576	0.424	0.000
rs10283576 lBF = `19.8492` Chr`9` : `88,106,667`	0.565	0.435	0.000
rs116929209 lBF = `23.964` Chr`9` : `13,692,166`	0.559	0.440	0.000
rs79531373 lBF = `9.31927` Chr`9` : `137,906,597`	0.558	0.441	0.000
rs75622023 lBF = `16.1719` Chr`9` : `28,607,634`	0.557	0.443	0.000
rs7024058 lBF = `17.5874` Chr`9` : `1,938,082`	0.533	0.467	0.000
rs72652478 lBF = `14.3802` Chr`9` : `22,102,043`	0.530	0.470	0.000
rs118156051 lBF = `16.9077` Chr`9` : `103,381,388`	0.497	0.503	0.000
rs147338646 lBF = `5.39391` Chr`9` : `11,812,813`	0.496	0.504	0.000
rs75125430 lBF = `16.6037` Chr`9` : `24,472,623`	0.494	0.506	0.000
rs77427150 lBF = `13.5234` Chr`9` : `101,239,130`	0.492	0.507	0.000
rs116961907 lBF = `20.2002` Chr`9` : `28,511,184`	0.477	0.522	0.000
rs117754409 lBF = `15.5268` Chr`9` : `13,934,924`	0.465	0.535	0.000
rs73556638 lBF = `15.5477` Chr`9` : `139,034,164`	0.455	0.545	0.000
rs77005723 lBF = `23.0241` Chr`9` : `131,211,201`	0.449	0.551	0.000
rs60250264 lBF = `1.93414` Chr`9` : `8,897,187`	0.435	0.564	0.000
rs78608331 lBF = `12.388` Chr`9` : `13,257,251`	0.390	0.610	0.000
rs41280725 lBF = `19.7128` Chr`9` : `5,469,654`	0.380	0.619	0.000
rs78296588 lBF = `15.8425` Chr`9` : `102,305,131`	0.380	0.620	0.000
rs117488235 lBF = `19.2182` Chr`9` : `15,707,430`	0.371	0.629	0.000
rs117362775 lBF = `13.8721` Chr`9` : `112,587,101`	0.367	0.633	0.000
rs12342947 lBF = `20.0509` Chr`9` : `7,026,860`	0.366	0.634	0.000
rs78617806 lBF = `13.7235` Chr`9` : `109,377,753`	0.358	0.642	0.000
rs78119065 lBF = `14.991` Chr`9` : `1,833,972`	0.348	0.652	0.000
rs62571477 lBF = `27.2395` Chr`9` : `137,865,056`	0.332	0.667	0.000
rs144087410 lBF = `1.81966` Chr`9` : `5,185,581`	0.328	0.672	0.000
rs117499721 lBF = `28.8784` Chr`9` : `116,579,948`	0.325	0.674	0.000
rs16925263 lBF = `17.4118` Chr`9` : `7,060,997`	0.310	0.690	0.000
rs72745135 lBF = `15.0573` Chr`9` : `78,973,431`	0.302	0.697	0.000
rs35303200 lBF = `18.3789` Chr`9` : `82,740,305`	0.298	0.702	0.000
rs77911647 lBF = `25.709` Chr`9` : `37,580,543`	0.294	0.706	0.000
rs16906350 lBF = `1.89955` Chr`9` : `120,618,956`	0.290	0.710	0.000
rs1175605 lBF = `18.1644` Chr`9` : `95,233,248`	0.271	0.729	0.000
rs16925298 lBF = `10.4186` Chr`9` : `7,081,674`	0.265	0.735	0.000
rs80234524 lBF = `8.67109` Chr`9` : `102,716,279`	0.261	0.739	0.000
rs118011544 lBF = `16.5306` Chr`9` : `137,236,911`	0.252	0.747	0.000
rs73387635 lBF = `15.4845` Chr`9` : `1,814,698`	0.245	0.755	0.000
rs78755596 lBF = `34.803` Chr`9` : `136,124,590`	0.244	0.755	0.000
rs17857515 lBF = `18.2473` Chr`9` : `32,542,278`	0.244	0.756	0.000
rs72748988 lBF = `19.0653` Chr`9` : `92,041,530`	0.243	0.757	0.000
rs12000567 lBF = `4.07403` Chr`9` : `789,499`	0.242	0.758	0.000
rs72746681 lBF = `16.7306` Chr`9` : `88,643,632`	0.233	0.766	0.000
rs11539570 lBF = `10.2471` Chr`9` : `131,084,628`	0.219	0.781	0.000
rs76718115 lBF = `14.4603` Chr`9` : `112,413,997`	0.204	0.796	0.000
rs72756269 lBF = `20.6952` Chr`9` : `119,147,710`	0.195	0.805	0.000
rs73644982 lBF = `13.9807` Chr`9` : `32,523,117`	0.192	0.807	0.000
rs34634894 lBF = `20.2004` Chr`9` : `82,652,022`	0.188	0.812	0.000
rs116995584 lBF = `15.4671` Chr`9` : `76,040,600`	0.184	0.816	0.000
rs1417290 lBF = `17.5513` Chr`9` : `7,046,917`	0.181	0.819	0.000
rs79460104 lBF = `15.2248` Chr`9` : `79,610,628`	0.173	0.827	0.000
rs41314453 lBF = `10.1695` Chr`9` : `136,307,825`	0.171	0.829	0.000
rs111600634 lBF = `1.82236` Chr`9` : `120,618,625`	0.170	0.830	0.000
rs12336160 lBF = `0.996007` Chr`9` : `33,283,582`	0.167	0.833	0.000
rs62574559 lBF = `13.3756` Chr`9` : `96,366,133`	0.147	0.853	0.000
rs78199931 lBF = `17.2832` Chr`9` : `140,865,334`	0.141	0.859	0.000
rs74862371 lBF = `16.8875` Chr`9` : `7,028,832`	0.135	0.865	0.000
rs10993738 lBF = `0.58737` Chr`9` : `93,633,240`	0.128	0.872	0.000
rs3731249 lBF = `12.0614` Chr`9` : `21,970,916`	0.125	0.874	0.000
rs142944815 lBF = `2.59871` Chr`9` : `8,773,566`	0.125	0.875	0.000
rs117091812 lBF = `12.7428` Chr`9` : `81,272,613`	0.121	0.879	0.000
rs77745943 lBF = `12.1624` Chr`9` : `99,034,907`	0.120	0.880	0.000
rs118036720 lBF = `22.9077` Chr`9` : `5,408,587`	0.117	0.883	0.000
rs185095244 lBF = `0.251196` Chr`9` : `8,766,114`	0.111	0.889	0.000
rs16928280 lBF = `6.01786` Chr`9` : `8,695,233`	0.096	0.904	0.000
rs1038195 lBF = `18.4342` Chr`9` : `137,855,660`	0.080	0.920	0.000
rs74304768 lBF = `17.1946` Chr`9` : `79,606,878`	0.078	0.922	0.000
rs58680346 lBF = `5.13866` Chr`9` : `7,604,965`	0.062	0.938	0.000
rs10984730 lBF = `5.19571` Chr`9` : `100,766,795`	0.053	0.947	0.000
rs111571219 lBF = `14.5965` Chr`9` : `102,420,794`	0.051	0.948	0.000
rs10973964 lBF = `14.244` Chr`9` : `38,669,362`	0.050	0.950	0.000
rs77048935 lBF = `15.1563` Chr`9` : `114,316,981`	0.047	0.952	0.000
rs186821245 lBF = `0.265221` Chr`9` : `136,606,035`	0.036	0.964	0.000
rs74729480 lBF = `14.6486` Chr`9` : `137,375,254`	0.036	0.964	0.000
rs76662872 lBF = `8.28126` Chr`9` : `78,995,731`	0.033	0.967	0.000
rs77437704 lBF = `13.6847` Chr`9` : `79,623,352`	0.033	0.967	0.000
rs10114038 lBF = `1.31177` Chr`9` : `127,327,763`	0.030	0.970	0.000
rs117933286 lBF = `14.503` Chr`9` : `81,306,530`	0.023	0.977	0.000
rs7024300 lBF = `0.04881` Chr`9` : `107,589,567`	0.000	0.978	0.022
rs117520190 lBF = `16.2172` Chr`9` : `98,903,902`	0.021	0.979	0.000
rs1907805 lBF = `7.59783` Chr`9` : `94,451,965`	0.019	0.980	0.000
rs1003858 lBF = `0.0123863` Chr`9` : `118,964,955`	0.019	0.981	0.000
rs117415762 lBF = `13.5576` Chr`9` : `77,698,356`	0.018	0.982	0.000
rs10758732 lBF = `11.2727` Chr`9` : `5,991,772`	0.018	0.982	0.000
rs1968498 lBF = `9.0386` Chr`9` : `86,696,174`	0.016	0.984	0.000
rs76605533 lBF = `18.0219` Chr`9` : `100,624,553`	0.016	0.984	0.000
rs1333049 lBF = `356.271` Chr`9` : `22,125,503`	0.015	0.985	0.000
rs117217495 lBF = `16.3591` Chr`9` : `24,538,142`	0.012	0.986	0.001
rs10757278 lBF = `355.344` Chr`9` : `22,124,477`	0.013	0.987	0.000
rs117863381 lBF = `15.4135` Chr`9` : `82,517,509`	0.013	0.987	0.000
rs113607577 lBF = `0.0172672` Chr`9` : `77,455,459`	0.011	0.988	0.000
rs4877801 lBF = `12.8244` Chr`9` : `86,337,432`	0.011	0.989	0.000
rs80321149 lBF = `13.0616` Chr`9` : `16,150,000`	0.010	0.990	0.000
rs4979462 lBF = `0.196688` Chr`9` : `117,567,013`	0.010	0.990	0.000
rs944797 lBF = `364.833` Chr`9` : `22,115,286`	0.010	0.990	0.000
rs139863644 lBF = `0.00339663` Chr`9` : `5,972,759`	0.008	0.992	0.000
rs72758841 lBF = `0.00678835` Chr`9` : `131,475,583`	0.007	0.992	0.000
rs111873027 lBF = `0.00829232` Chr`9` : `126,953,640`	0.007	0.992	0.000
rs76260868 lBF = `20.5517` Chr`9` : `80,422,239`	0.007	0.993	0.000
rs2383207 lBF = `354.618` Chr`9` : `22,115,959`	0.000	0.993	0.007
rs7865618 lBF = `166.125` Chr`9` : `22,031,005`	0.000	0.993	0.007
rs56190763 lBF = `13.9754` Chr`9` : `91,343,917`	0.007	0.993	0.000
rs117233030 lBF = `16.6065` Chr`9` : `14,348,774`	0.007	0.993	0.000
rs10971170 lBF = `1.70493` Chr`9` : `32,870,068`	0.006	0.993	0.000
rs4962153 lBF = `50.9657` Chr`9` : `136,323,754`	0.006	0.993	0.000
rs72752974 lBF = `6.14767` Chr`9` : `92,516,854`	0.006	0.993	0.000
rs7037266 lBF = `0.0637594` Chr`9` : `6,942,940`	0.000	0.994	0.006
rs11789912 lBF = `15.8406` Chr`9` : `130,605,739`	0.006	0.994	0.000
rs114356520 lBF = `0.0111969` Chr`9` : `112,128,998`	0.006	0.994	0.000
rs62531470 lBF = `1.6886` Chr`9` : `540,319`	0.005	0.994	0.000
rs2157719 lBF = `171.627` Chr`9` : `22,033,366`	0.000	0.995	0.005
rs10733376 lBF = `361.867` Chr`9` : `22,114,469`	0.005	0.995	0.000
rs12000457 lBF = `0.0170966` Chr`9` : `86,944,425`	0.005	0.995	0.000
rs74732462 lBF = `7.95748` Chr`9` : `133,436,054`	0.005	0.995	0.000
rs117571560 lBF = `14.6503` Chr`9` : `76,169,871`	0.005	0.995	0.000
rs79791727 lBF = `11.6893` Chr`9` : `36,801,459`	0.005	0.995	0.000
rs77418183 lBF = `12.5886` Chr`9` : `21,929,486`	0.004	0.995	0.000
rs11791652 lBF = `-0.0956194` Chr`9` : `91,602,796`	0.000	0.996	0.004
rs184522131 lBF = `1.69043` Chr`9` : `90,177,521`	0.004	0.996	0.001
rs3217992 lBF = `200.854` Chr`9` : `22,003,223`	0.003	0.996	0.001
rs7043095 lBF = `-0.0974076` Chr`9` : `91,604,005`	0.000	0.996	0.004
rs11244035 lBF = `23.8973` Chr`9` : `136,081,319`	0.004	0.996	0.000
rs1333047 lBF = `375.052` Chr`9` : `22,124,504`	0.003	0.996	0.000
rs1333037 lBF = `168.921` Chr`9` : `22,040,765`	0.004	0.996	0.000
rs72687969 lBF = `5.70085` Chr`9` : `4,104,403`	0.003	0.996	0.000
rs4977574 lBF = `376.576` Chr`9` : `22,098,574`	0.003	0.997	0.000
rs10757274 lBF = `379.837` Chr`9` : `22,096,055`	0.003	0.997	0.000
rs1333048 lBF = `369.305` Chr`9` : `22,125,347`	0.003	0.997	0.000
rs10757272 lBF = `363.174` Chr`9` : `22,088,260`	0.003	0.997	0.000
rs7856367 lBF = `-0.0448927` Chr`9` : `124,942,544`	0.000	0.997	0.003
rs10757269 lBF = `323.969` Chr`9` : `22,072,264`	0.003	0.997	0.000
rs76733568 lBF = `27.8026` Chr`9` : `24,659,540`	0.003	0.997	0.000
rs564398 lBF = `152.203` Chr`9` : `22,029,547`	0.000	0.997	0.003
rs2891168 lBF = `383.279` Chr`9` : `22,098,619`	0.003	0.997	0.000
rs10738607 lBF = `371.077` Chr`9` : `22,088,094`	0.003	0.997	0.000
rs7045620 lBF = `14.6764` Chr`9` : `137,836,809`	0.002	0.997	0.000
rs12003180 lBF = `2.87978` Chr`9` : `15,283,097`	0.000	0.998	0.002
rs10815355 lBF = `0.00477494` Chr`9` : `622,523`	0.002	0.998	0.000
rs79299247 lBF = `13.7264` Chr`9` : `82,970,155`	0.002	0.998	0.000
rs7864133 lBF = `0.00190717` Chr`9` : `84,053,686`	0.002	0.998	0.000
rs187979858 lBF = `0.0135995` Chr`9` : `136,600,098`	0.002	0.998	0.000
rs1412829 lBF = `154.353` Chr`9` : `22,043,926`	0.000	0.998	0.002
rs471364 lBF = `12.2964` Chr`9` : `15,289,578`	0.000	0.998	0.002
rs7866503 lBF = `386.896` Chr`9` : `22,091,924`	0.002	0.998	0.000
rs4977756 lBF = `180.502` Chr`9` : `22,068,652`	0.000	0.998	0.002
rs2245641 lBF = `-0.0206232` Chr`9` : `15,309,928`	0.002	0.998	0.000
rs944961 lBF = `0.153842` Chr`9` : `122,572,896`	0.002	0.998	0.000
rs113989315 lBF = `8.44186` Chr`9` : `7,086,245`	0.002	0.998	0.000
rs76153552 lBF = `18.1323` Chr`9` : `95,913,866`	0.002	0.998	0.000
rs118096183 lBF = `6.77798` Chr`9` : `5,772,424`	0.002	0.998	0.000
rs74308953 lBF = `0.00117694` Chr`9` : `121,431,189`	0.002	0.998	0.000
rs10429475 lBF = `-0.0905281` Chr`9` : `121,125,746`	0.002	0.998	0.000
rs182700414 lBF = `0.00117781` Chr`9` : `121,971,770`	0.001	0.998	0.000
rs117196480 lBF = `16.5445` Chr`9` : `101,301,307`	0.002	0.998	0.000
rs143639284 lBF = `0.00187276` Chr`9` : `5,140,958`	0.002	0.998	0.000
rs7863943 lBF = `13.4081` Chr`9` : `100,306,204`	0.002	0.998	0.000
rs77528658 lBF = `12.135` Chr`9` : `104,204,920`	0.001	0.998	0.000
rs114646018 lBF = `0.00725446` Chr`9` : `18,890,061`	0.001	0.998	0.000
rs17059531 lBF = `0.00904484` Chr`9` : `76,492,427`	0.000	0.998	0.001
rs56343119 lBF = `60.1445` Chr`9` : `136,237,672`	0.001	0.998	0.000
rs1333042 lBF = `395.398` Chr`9` : `22,103,813`	0.001	0.998	0.000
rs7021404 lBF = `0.00087256` Chr`9` : `25,414,051`	0.001	0.999	0.000
rs6475606 lBF = `331.139` Chr`9` : `22,081,850`	0.001	0.999	0.000
rs10965235 lBF = `-0.00159282` Chr`9` : `22,115,105`	0.000	0.999	0.001
rs55856550 lBF = `15.678` Chr`9` : `22,364,370`	0.001	0.999	0.000
rs1537370 lBF = `339.752` Chr`9` : `22,084,310`	0.001	0.999	0.000
rs10980926 lBF = `-0.0838651` Chr`9` : `114,293,634`	0.001	0.999	0.000
rs118142265 lBF = `1.58801` Chr`9` : `132,194,033`	0.000	0.999	0.001
rs76495380 lBF = `0.0004597` Chr`9` : `20,844,431`	0.001	0.999	0.000
rs145699582 lBF = `0.00035679` Chr`9` : `5,169,600`	0.000	0.999	0.001
rs914605 lBF = `14.0956` Chr`9` : `20,742,963`	0.001	0.999	0.000
rs1063192 lBF = `160.304` Chr`9` : `22,003,367`	0.000	0.999	0.001
rs114771314 lBF = `0.0004006` Chr`9` : `12,805,030`	0.001	0.999	0.000
rs76695314 lBF = `0.00021739` Chr`9` : `30,912,925`	0.001	0.999	0.000
rs148861184 lBF = `0.00012183` Chr`9` : `30,975,637`	0.001	0.999	0.000
rs114241027 lBF = `0.00030213` Chr`9` : `12,802,823`	0.001	0.999	0.000
rs17785420 lBF = `0.00018714` Chr`9` : `30,920,638`	0.001	0.999	0.000
rs143976741 lBF = `0.0000724` Chr`9` : `30,966,395`	0.001	0.999	0.000
rs138792676 lBF = `0.0000724` Chr`9` : `30,973,698`	0.001	0.999	0.000
rs145505122 lBF = `0.00005931` Chr`9` : `30,975,566`	0.001	0.999	0.000
rs10975740 lBF = `5.23448` Chr`9` : `676,741`	0.000	0.999	0.001
rs138746541 lBF = `0.00004011` Chr`9` : `30,904,471`	0.001	0.999	0.000
rs189970609 lBF = `0.00004011` Chr`9` : `30,898,161`	0.001	0.999	0.000
rs139528199 lBF = `0.00004011` Chr`9` : `30,905,405`	0.001	0.999	0.000
rs139088314 lBF = `0.00004011` Chr`9` : `30,902,950`	0.001	0.999	0.000
rs149450639 lBF = `0.00003907` Chr`9` : `30,907,835`	0.001	0.999	0.000
rs17785414 lBF = `0.00003907` Chr`9` : `30,916,630`	0.001	0.999	0.000
rs80324951 lBF = `0.00003907` Chr`9` : `30,910,159`	0.001	0.999	0.000
rs138549889 lBF = `0.00003907` Chr`9` : `30,928,039`	0.001	0.999	0.000
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rs117770885 lBF = `0.00929734` Chr`9` : `10,114,755`	0.000	1.000	0.000
rs115613582 lBF = `0.00708643` Chr`9` : `5,482,489`	0.000	1.000	0.000
rs12350534 lBF = `-0.0110918` Chr`9` : `89,558,064`	0.000	1.000	0.000
rs1975197 lBF = `-0.0413751` Chr`9` : `8,846,955`	0.000	1.000	0.000
rs6477694 lBF = `-0.0432326` Chr`9` : `111,932,342`	0.000	1.000	0.000
rs2814707 lBF = `-0.043331` Chr`9` : `27,536,397`	0.000	1.000	0.000
rs11141915 lBF = `-0.0525759` Chr`9` : `90,235,794`	0.000	1.000	0.000
rs1147813 lBF = `-0.0661128` Chr`9` : `25,859,709`	0.000	1.000	0.000
rs3750552 lBF = `-0.0872866` Chr`9` : `71,943,002`	0.000	1.000	0.000
rs294856 lBF = `-0.0887236` Chr`9` : `10,192,290`	0.000	1.000	0.000
rs1478110 lBF = `-0.130512` Chr`9` : `1,721,478`	0.000	1.000	0.000
rs74776058 lBF = `16.3733` Chr`9` : `30,014,333`	0.000	1.000	0.000
rs10491777 lBF = `15.847` Chr`9` : `14,352,001`	0.000	1.000	0.000
rs75585141 lBF = `14.4069` Chr`9` : `13,387,483`	0.000	1.000	0.000
rs7855757 lBF = `5.95951` Chr`9` : `19,712,378`	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
rs11138290 lBF = `0.243198` Chr`9` : `82,163,313`	0.000	1.000	0.000
rs13295552 lBF = `0.233886` Chr`9` : `84,522,749`	0.000	1.000	0.000
rs2090409 lBF = `0.108903` Chr`9` : `108,967,088`	0.000	1.000	0.000
rs2210430 lBF = `0.0966713` Chr`9` : `25,501,297`	0.000	1.000	0.000
rs10983238 lBF = `0.021247` Chr`9` : `119,333,683`	0.000	1.000	0.000
rs117932393 lBF = `0.0156868` Chr`9` : `109,152,709`	0.000	1.000	0.000
rs643410 lBF = `0.00153414` Chr`9` : `111,799,563`	0.000	1.000	0.000
rs2043144 lBF = `-0.00932687` Chr`9` : `73,950,955`	0.000	1.000	0.000
rs669484 lBF = `-0.0102665` Chr`9` : `10,433,023`	0.000	1.000	0.000
rs4879913 lBF = `-0.0571` Chr`9` : `35,610,912`	0.000	1.000	0.000
rs4463516 lBF = `-0.0771065` Chr`9` : `32,867,481`	0.000	1.000	0.000
rs943306 lBF = `-0.0978266` Chr`9` : `119,624,675`	0.000	1.000	0.000
rs4075163 lBF = `-0.105383` Chr`9` : `91,599,103`	0.000	1.000	0.000
rs10975003 lBF = `8.89331` Chr`9` : `5,213,687`	0.000	1.000	0.000
rs10983554 lBF = `8.75815` Chr`9` : `119,918,601`	0.000	1.000	0.000
rs803927 lBF = `7.65919` Chr`9` : `119,403,611`	0.000	1.000	0.000
rs2297603 lBF = `6.02943` Chr`9` : `101,778,265`	0.000	1.000	0.000
rs6478108 lBF = `2.18757` Chr`9` : `117,558,703`	0.000	1.000	0.000
rs7041847 lBF = `0.598182` Chr`9` : `4,287,466`	0.000	1.000	0.000
rs3118867 lBF = `0.578601` Chr`9` : `90,261,695`	0.000	1.000	0.000
rs3124592 lBF = `0.57272` Chr`9` : `139,393,162`	0.000	1.000	0.000
rs4237150 lBF = `0.49969` Chr`9` : `4,290,085`	0.000	1.000	0.000
rs7045640 lBF = `0.303315` Chr`9` : `2,978,377`	0.000	1.000	0.000
rs62544595 lBF = `0.1588` Chr`9` : `27,135,718`	0.000	1.000	0.000
rs7849581 lBF = `0.151245` Chr`9` : `9,924,724`	0.000	1.000	0.000
rs183433444 lBF = `0.144796` Chr`9` : `126,555,988`	0.000	1.000	0.000
rs7031325 lBF = `0.0899183` Chr`9` : `6,655,056`	0.000	1.000	0.000
rs7875024 lBF = `0.0519451` Chr`9` : `16,288,424`	0.000	1.000	0.000
rs117347249 lBF = `0.0164813` Chr`9` : `81,368,654`	0.000	1.000	0.000
rs11790994 lBF = `0.00850557` Chr`9` : `98,429,266`	0.000	1.000	0.000
rs17481720 lBF = `0.0076358` Chr`9` : `131,889,294`	0.000	1.000	0.000
rs7861963 lBF = `-0.0038932` Chr`9` : `128,178,907`	0.000	1.000	0.000
rs10958998 lBF = `-0.0155727` Chr`9` : `10,275,798`	0.000	1.000	0.000
rs10758161 lBF = `-0.0411922` Chr`9` : `32,755,028`	0.000	1.000	0.000
rs10965215 lBF = `149.273` Chr`9` : `22,029,445`	0.000	1.000	0.000
rs117869101 lBF = `21.0144` Chr`9` : `84,429,893`	0.000	1.000	0.000
rs17433526 lBF = `9.94738` Chr`9` : `131,912,341`	0.000	1.000	0.000
rs16920433 lBF = `8.50913` Chr`9` : `4,032,693`	0.000	1.000	0.000
rs3810936 lBF = `0.923276` Chr`9` : `117,552,885`	0.000	1.000	0.000
rs60244812 lBF = `0.477535` Chr`9` : `7,267,614`	0.000	1.000	0.000
rs2006996 lBF = `0.374558` Chr`9` : `117,592,638`	0.000	1.000	0.000
rs13292262 lBF = `0.29922` Chr`9` : `81,915,383`	0.000	1.000	0.000
rs7025162 lBF = `0.211559` Chr`9` : `136,166,346`	0.000	1.000	0.000
rs17779457 lBF = `0.158903` Chr`9` : `27,488,092`	0.000	1.000	0.000
rs13288553 lBF = `0.122179` Chr`9` : `86,741,461`	0.000	1.000	0.000
rs291272 lBF = `0.0890106` Chr`9` : `10,043,014`	0.000	1.000	0.000
rs12345625 lBF = `0.0619719` Chr`9` : `31,479,005`	0.000	1.000	0.000
rs10858396 lBF = `0.0428561` Chr`9` : `138,275,776`	0.000	1.000	0.000
rs1257763 lBF = `0.0407256` Chr`9` : `96,893,945`	0.000	1.000	0.000
rs3758354 lBF = `0.035668` Chr`9` : `75,764,565`	0.000	1.000	0.000
rs17241164 lBF = `0.0322381` Chr`9` : `9,857,448`	0.000	1.000	0.000
rs3802457 lBF = `0.0160534` Chr`9` : `97,741,336`	0.000	1.000	0.000
rs9695226 lBF = `-0.00986366` Chr`9` : `22,759,396`	0.000	1.000	0.000
rs17641078 lBF = `-0.0207988` Chr`9` : `1,056,959`	0.000	1.000	0.000
rs10968562 lBF = `-0.0474651` Chr`9` : `28,402,043`	0.000	1.000	0.000
rs2820914 lBF = `-0.0559393` Chr`9` : `7,195,408`	0.000	1.000	0.000
rs7852872 lBF = `-0.0654586` Chr`9` : `119,249,339`	0.000	1.000	0.000
rs378363 lBF = `-0.0732188` Chr`9` : `9,020,223`	0.000	1.000	0.000
rs11142387 lBF = `-0.0797676` Chr`9` : `72,998,332`	0.000	1.000	0.000
rs4879901 lBF = `-0.0799172` Chr`9` : `35,518,997`	0.000	1.000	0.000
rs3731257 lBF = `90.8856` Chr`9` : `21,966,221`	0.000	1.000	0.000
rs58950125 lBF = `19.7195` Chr`9` : `10,382,986`	0.000	1.000	0.000
rs686030 lBF = `17.631` Chr`9` : `15,304,782`	0.000	1.000	0.000
rs3824433 lBF = `15.607` Chr`9` : `5,113,577`	0.000	1.000	0.000
rs3780381 lBF = `14.9163` Chr`9` : `5,114,523`	0.000	1.000	0.000
rs11506819 lBF = `12.1203` Chr`9` : `108,129,480`	0.000	1.000	0.000
rs930522 lBF = `11.1344` Chr`9` : `11,613,940`	0.000	1.000	0.000
rs74759033 lBF = `10.8675` Chr`9` : `127,676,918`	0.000	1.000	0.000
rs340928 lBF = `9.63219` Chr`9` : `6,086,913`	0.000	1.000	0.000
rs581080 lBF = `8.38946` Chr`9` : `15,305,378`	0.000	1.000	0.000
rs4366152 lBF = `1.24374` Chr`9` : `117,564,875`	0.000	1.000	0.000
rs4263839 lBF = `1.24218` Chr`9` : `117,566,440`	0.000	1.000	0.000
rs867559 lBF = `0.642133` Chr`9` : `129,465,325`	0.000	1.000	0.000
rs7869487 lBF = `0.54459` Chr`9` : `117,580,914`	0.000	1.000	0.000
rs60588302 lBF = `0.264102` Chr`9` : `7,900,777`	0.000	1.000	0.000
rs1463984 lBF = `0.220472` Chr`9` : `108,427,062`	0.000	1.000	0.000
rs1360517 lBF = `0.0789714` Chr`9` : `13,007,129`	0.000	1.000	0.000
rs10961577 lBF = `0.0718727` Chr`9` : `14,562,314`	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

0.6256

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.3587

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.9465

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.8772

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.8687

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.8678

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.8658

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.8322

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.8250

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.8112

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.8087

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7832

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.7820

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.7520

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.7489

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.7169

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.7169

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.7167

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7166

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7165

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.7165

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.7165

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.7163

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.7137

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.7134

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.7128

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.7117

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.7070

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.7005

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.6948

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.6898

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.6868

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.6837

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.6797

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.6771

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.6744

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.6742

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.6720

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.6692

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.6599

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.6591

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.6537

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.6528

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.6412

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.6399

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.6354

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.6147

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.6100

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.5904

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.5880

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.5818

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.5585

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.5553

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.5353

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.5314

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.5022

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.4985

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.4885

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.4748

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.4707

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.4655

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.4588

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.4540

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.4374

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.4107

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.3770

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.3720

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.3685

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.3338

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.3246

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.3164

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.2968

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.2940

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.2736

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.2727

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.2696

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.2444

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.2354

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.2287

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.2007

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.1969

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.1914

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.1911

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.1909

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.1851

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.1836

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.1653

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.1643

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.1518

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.1484

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.1186

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.1054

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.0988

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.0947

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.0937

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.0875

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.0873

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.0837

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.0796

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.0795

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.0792

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.0764

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.0730

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.0601

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.0591

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.0585

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.0572

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`)