TreeWAS – [S67.0] Crushing injury of thumb and other finger(s)

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
rs111527185 lBF = `5.658` Chr`19` : `673,105`	0.846	0.154	0.000
rs113040104 lBF = `11.1608` Chr`21` : `24,412,633`	0.845	0.155	0.000
rs114794549 lBF = `16.077` Chr`3` : `105,878,935`	0.815	0.185	0.000
rs75016295 lBF = `11.3138` Chr`7` : `153,908,935`	0.799	0.201	0.000
rs114679905 lBF = `9.02093` Chr`3` : `135,418,841`	0.794	0.206	0.000
rs118112887 lBF = `8.10057` Chr`18` : `26,691,296`	0.789	0.211	0.000
rs17783658 lBF = `5.27728` Chr`6` : `81,762,310`	0.775	0.225	0.000
rs9446827 lBF = `9.62742` Chr`6` : `73,746,516`	0.770	0.230	0.000
rs112889713 lBF = `9.36414` Chr`5` : `16,958,118`	0.763	0.237	0.000
rs6067711 lBF = `13.2611` Chr`20` : `49,895,571`	0.762	0.238	0.000
rs75356169 lBF = `5.60136` Chr`10` : `107,853,400`	0.754	0.246	0.000
rs73026643 lBF = `26.1067` Chr`11` : `118,166,597`	0.740	0.260	0.000
Affx-29348152 lBF = `11.5576` Chr`7` : `100,304,864`	0.735	0.265	0.000
rs117351200 lBF = `16.467` Chr`11` : `47,987,630`	0.734	0.266	0.000
rs76040961 lBF = `16.9369` Chr`2` : `204,930,391`	0.729	0.271	0.000
rs72725317 lBF = `24.9449` Chr`1` : `102,996,034`	0.728	0.272	0.000
rs61789073 lBF = `10.5911` Chr`1` : `98,404,096`	0.714	0.286	0.000
rs16937124 lBF = `7.01091` Chr`10` : `36,885,746`	0.713	0.287	0.000
rs56181521 lBF = `10.1619` Chr`10` : `29,465,241`	0.712	0.288	0.000
rs116775899 lBF = `12.2053` Chr`5` : `76,143,246`	0.711	0.289	0.000
rs6858723 lBF = `7.25032` Chr`4` : `17,102,166`	0.710	0.290	0.000
rs10983554 lBF = `8.75815` Chr`9` : `119,918,601`	0.708	0.292	0.000
rs114659777 lBF = `10.4967` Chr`5` : `146,011,408`	0.707	0.293	0.000
rs117000465 lBF = `9.39806` Chr`19` : `31,056,668`	0.705	0.295	0.000
rs75158997 lBF = `16.3135` Chr`7` : `33,796,970`	0.704	0.296	0.000
rs79300279 lBF = `6.41012` Chr`9` : `6,133,663`	0.702	0.298	0.000
rs11250485 lBF = `13.8708` Chr`10` : `1,417,738`	0.701	0.299	0.000
rs114853496 lBF = `13.3768` Chr`5` : `133,753,344`	0.701	0.299	0.000
rs11506819 lBF = `12.1203` Chr`9` : `108,129,480`	0.700	0.300	0.000
rs79818456 lBF = `12.4174` Chr`7` : `33,808,171`	0.698	0.302	0.000
rs34803930 lBF = `21.1404` Chr`14` : `62,581,386`	0.697	0.303	0.000
rs7226127 lBF = `11.5848` Chr`17` : `73,959,466`	0.697	0.303	0.000
rs77760113 lBF = `23.76` Chr`13` : `60,787,066`	0.697	0.303	0.000
rs112312290 lBF = `16.2925` Chr`3` : `52,094,201`	0.697	0.303	0.000
rs11575839 lBF = `13.4374` Chr`6` : `31,557,791`	0.696	0.304	0.000
rs117309988 lBF = `8.85725` Chr`11` : `16,884,769`	0.695	0.305	0.000
rs117620493 lBF = `19.1648` Chr`7` : `67,995,633`	0.694	0.306	0.000
rs2030049 lBF = `5.7874` Chr`1` : `101,007,055`	0.691	0.309	0.000
rs114262607 lBF = `31.3906` Chr`1` : `102,915,381`	0.691	0.309	0.000
rs79847151 lBF = `6.99236` Chr`7` : `33,802,894`	0.688	0.312	0.000
rs7741021 lBF = `13.5038` Chr`6` : `127,468,274`	0.000	0.312	0.688
rs860340 lBF = `5.06795` Chr`3` : `186,889,320`	0.685	0.315	0.000
rs117399901 lBF = `16.2345` Chr`20` : `62,857,182`	0.684	0.316	0.000
rs72795726 lBF = `16.0429` Chr`10` : `50,871,492`	0.682	0.318	0.000
rs61913987 lBF = `14.099` Chr`11` : `130,522,894`	0.680	0.320	0.000
rs9332735 lBF = `18.6446` Chr`6` : `31,901,773`	0.680	0.320	0.000
rs113203074 lBF = `13.6298` Chr`6` : `31,387,875`	0.679	0.321	0.000
rs76220472 lBF = `17.6069` Chr`11` : `110,980,678`	0.679	0.321	0.000
rs170429 lBF = `12.1591` Chr`5` : `41,294,802`	0.679	0.321	0.000
rs6803875 lBF = `6.51206` Chr`3` : `23,163,716`	0.679	0.321	0.000
rs2523503 lBF = `34.5631` Chr`6` : `31,513,559`	0.677	0.323	0.000
rs75668017 lBF = `16.6332` Chr`15` : `94,960,358`	0.677	0.323	0.000
rs57263982 lBF = `13.1493` Chr`19` : `18,726,211`	0.676	0.324	0.000
rs817858 lBF = `4.65645` Chr`9` : `110,125,811`	0.674	0.325	0.000
rs6687813 lBF = `164.175` Chr`1` : `169,477,574`	0.674	0.326	0.000
rs1018827 lBF = `160.837` Chr`1` : `169,514,006`	0.673	0.327	0.000
rs9491697 lBF = `8.57823` Chr`6` : `127,456,122`	0.000	0.327	0.673
rs1987842 lBF = `5.12272` Chr`2` : `234,928,517`	0.672	0.328	0.000
rs112473686 lBF = `9.94576` Chr`1` : `106,514,329`	0.671	0.329	0.000
rs74926649 lBF = `20.7834` Chr`10` : `106,277,435`	0.671	0.329	0.000
rs78554755 lBF = `16.3804` Chr`10` : `45,343,576`	0.671	0.329	0.000
rs2251824 lBF = `33.847` Chr`6` : `31,511,857`	0.670	0.330	0.000
rs7236477 lBF = `1.98766` Chr`18` : `28,902,322`	0.668	0.332	0.000
rs78417298 lBF = `19.5275` Chr`3` : `52,723,309`	0.668	0.332	0.000
rs354157 lBF = `8.30182` Chr`1` : `49,678,990`	0.667	0.333	0.000
rs62532816 lBF = `24.7031` Chr`8` : `132,554,452`	0.666	0.334	0.000
rs76718115 lBF = `14.4603` Chr`9` : `112,413,997`	0.666	0.334	0.000
rs16925298 lBF = `10.4186` Chr`9` : `7,081,674`	0.663	0.336	0.000
rs7366282 lBF = `1.05477` Chr`1` : `214,779,427`	0.663	0.337	0.000
rs7448069 lBF = `2.22992` Chr`5` : `175,244,034`	0.663	0.337	0.000
rs115705830 lBF = `15.1446` Chr`1` : `160,790,249`	0.662	0.338	0.000
rs55962141 lBF = `15.8691` Chr`3` : `194,667,220`	0.661	0.339	0.000
rs13061465 lBF = `14.9946` Chr`3` : `72,568,369`	0.661	0.339	0.000
rs807195 lBF = `6.49504` Chr`3` : `53,616,011`	0.660	0.340	0.000
rs35383149 lBF = `9.98272` Chr`1` : `63,872,032`	0.660	0.340	0.000
rs41264825 lBF = `16.4549` Chr`1` : `159,810,939`	0.660	0.340	0.000
rs74862371 lBF = `16.8875` Chr`9` : `7,028,832`	0.660	0.340	0.000
rs80090905 lBF = `20.3715` Chr`11` : `47,800,628`	0.660	0.340	0.000
rs117647575 lBF = `15.1304` Chr`17` : `71,591,669`	0.659	0.341	0.000
rs117784947 lBF = `17.3161` Chr`11` : `47,538,102`	0.659	0.341	0.000
rs1555967 lBF = `2.33405` Chr`6` : `51,159,995`	0.658	0.342	0.000
rs79986080 lBF = `12.1183` Chr`5` : `17,091,822`	0.658	0.342	0.000
rs17532397 lBF = `5.55012` Chr`7` : `80,796,081`	0.658	0.342	0.000
rs4800316 lBF = `9.39887` Chr`18` : `26,609,089`	0.657	0.343	0.000
rs12662228 lBF = `11.7641` Chr`6` : `55,191,559`	0.655	0.345	0.000
rs77701960 lBF = `10.9141` Chr`15` : `82,075,642`	0.652	0.348	0.000
rs75355801 lBF = `8.34629` Chr`1` : `50,185,751`	0.651	0.349	0.000
rs113652541 lBF = `18.6299` Chr`15` : `53,573,692`	0.651	0.349	0.000
rs1417290 lBF = `17.5513` Chr`9` : `7,046,917`	0.651	0.349	0.000
rs115136538 lBF = `2.76777` Chr`4` : `73,322,565`	0.651	0.349	0.000
rs71382995 lBF = `0.862182` Chr`17` : `41,858,623`	0.000	0.350	0.650
rs11601083 lBF = `16.3801` Chr`11` : `47,634,413`	0.648	0.352	0.000
rs41270458 lBF = `12.1426` Chr`6` : `32,063,896`	0.648	0.352	0.000
rs35220816 lBF = `7.31535` Chr`12` : `115,082,017`	0.647	0.353	0.000
rs62402721 lBF = `13.1732` Chr`6` : `32,087,258`	0.647	0.353	0.000
rs79411886 lBF = `11.4958` Chr`7` : `94,561,983`	0.646	0.354	0.000
rs2495244 lBF = `8.29163` Chr`6` : `41,495,339`	0.646	0.354	0.000
rs11847149 lBF = `9.29364` Chr`14` : `80,067,828`	0.646	0.354	0.000
rs117576029 lBF = `15.0372` Chr`18` : `33,093,123`	0.645	0.355	0.000
rs78889204 lBF = `11.4029` Chr`3` : `36,863,059`	0.644	0.355	0.000
rs118030566 lBF = `27.3147` Chr`8` : `144,403,041`	0.644	0.356	0.000
rs78998565 lBF = `20.664` Chr`13` : `60,121,340`	0.644	0.356	0.000
rs115754869 lBF = `17.8128` Chr`3` : `152,084,816`	0.643	0.357	0.000
rs111515202 lBF = `13.7663` Chr`1` : `19,206,805`	0.642	0.358	0.000
rs11039358 lBF = `20.4615` Chr`11` : `47,746,962`	0.641	0.359	0.000
rs76260868 lBF = `20.5517` Chr`9` : `80,422,239`	0.641	0.359	0.000
rs78894544 lBF = `7.29453` Chr`8` : `138,323,083`	0.641	0.359	0.000
rs17077331 lBF = `0.644617` Chr`13` : `66,356,341`	0.641	0.359	0.000
rs115424548 lBF = `14.2476` Chr`4` : `145,602,863`	0.640	0.360	0.000
rs151271410 lBF = `11.5726` Chr`4` : `22,318,165`	0.640	0.360	0.000
rs80126971 lBF = `18.1379` Chr`7` : `36,697,785`	0.639	0.361	0.000
rs74958267 lBF = `12.6383` Chr`4` : `23,200,218`	0.639	0.361	0.000
rs9549345 lBF = `11.7981` Chr`13` : `113,718,812`	0.638	0.362	0.000
rs72983278 lBF = `6.95338` Chr`6` : `148,913,690`	0.636	0.364	0.000
rs769686 lBF = `14.3706` Chr`4` : `140,849,752`	0.636	0.364	0.000
rs13200161 lBF = `51.0311` Chr`6` : `28,038,188`	0.635	0.365	0.000
rs76959518 lBF = `25.0916` Chr`1` : `159,853,160`	0.634	0.366	0.000
rs76904521 lBF = `9.88184` Chr`8` : `1,148,999`	0.634	0.366	0.000
rs76679028 lBF = `17.8851` Chr`6` : `73,795,052`	0.633	0.367	0.000
rs118118056 lBF = `20.4965` Chr`13` : `24,338,125`	0.632	0.368	0.000
rs2259435 lBF = `31.1222` Chr`6` : `31,496,915`	0.632	0.368	0.000
rs12997492 lBF = `13.2297` Chr`2` : `151,964,165`	0.632	0.368	0.000
rs117464630 lBF = `8.83519` Chr`10` : `81,006,391`	0.632	0.368	0.000
rs71562646 lBF = `9.54905` Chr`7` : `104,827,587`	0.632	0.368	0.000
rs6887317 lBF = `0.595863` Chr`5` : `11,371,047`	0.632	0.368	0.000
rs62072914 lBF = `10.3081` Chr`17` : `79,332,221`	0.631	0.369	0.000
rs2523506 lBF = `32.8524` Chr`6` : `31,509,967`	0.630	0.370	0.000
rs3905240 lBF = `22.7383` Chr`6` : `28,711,334`	0.629	0.371	0.000
rs17280797 lBF = `24.1087` Chr`6` : `28,697,625`	0.628	0.371	0.000
rs7307889 lBF = `7.08994` Chr`12` : `5,981,353`	0.628	0.372	0.000
rs79513130 lBF = `13.4213` Chr`10` : `134,984,485`	0.628	0.372	0.000
rs77675795 lBF = `9.95372` Chr`6` : `52,125,471`	0.627	0.373	0.000
rs10209766 lBF = `11.0593` Chr`2` : `35,161,415`	0.626	0.374	0.000
rs60078135 lBF = `5.25935` Chr`8` : `1,082,832`	0.625	0.375	0.000
rs118164726 lBF = `20.0312` Chr`14` : `59,013,798`	0.624	0.376	0.000
rs73402213 lBF = `16.1094` Chr`6` : `31,387,288`	0.623	0.377	0.000
rs9308962 lBF = `12.3845` Chr`2` : `35,155,265`	0.623	0.377	0.000
rs111242499 lBF = `16.3667` Chr`6` : `31,409,313`	0.622	0.378	0.000
rs41560824 lBF = `17.2292` Chr`6` : `31,379,043`	0.622	0.378	0.000
rs60543763 lBF = `16.492` Chr`6` : `31,387,515`	0.622	0.378	0.000
rs74339132 lBF = `14.7722` Chr`2` : `54,585,354`	0.622	0.378	0.000
rs79903896 lBF = `14.376` Chr`14` : `31,222,143`	0.622	0.378	0.000
rs41545814 lBF = `16.656` Chr`6` : `31,382,893`	0.621	0.379	0.000
rs10852799 lBF = `10.56` Chr`17` : `11,522,764`	0.621	0.379	0.000
rs112111750 lBF = `17.006` Chr`6` : `31,389,968`	0.621	0.379	0.000
rs41545213 lBF = `16.9258` Chr`6` : `31,382,910`	0.621	0.379	0.000
rs61079385 lBF = `15.2512` Chr`6` : `31,384,551`	0.620	0.380	0.000
rs2168211 lBF = `16.1589` Chr`14` : `31,000,608`	0.619	0.381	0.000
rs79969149 lBF = `11.2075` Chr`17` : `26,270,925`	0.619	0.381	0.000
rs12157904 lBF = `0.988134` Chr`22` : `37,982,012`	0.619	0.381	0.000
rs4151670 lBF = `21.3629` Chr`6` : `31,915,532`	0.618	0.382	0.000
rs116730223 lBF = `15.9485` Chr`5` : `35,836,551`	0.618	0.382	0.000
rs79953717 lBF = `11.6276` Chr`4` : `145,986,745`	0.617	0.383	0.000
rs116979850 lBF = `12.7633` Chr`7` : `94,554,975`	0.617	0.383	0.000
rs76584804 lBF = `10.3519` Chr`6` : `73,826,578`	0.616	0.384	0.000
rs115310313 lBF = `22.9207` Chr`3` : `51,811,751`	0.615	0.385	0.000
rs113424809 lBF = `14.5422` Chr`6` : `31,391,262`	0.614	0.386	0.000
rs73402206 lBF = `11.5791` Chr`6` : `31,383,960`	0.613	0.387	0.000
rs172330 lBF = `26.9607` Chr`6` : `28,786,884`	0.613	0.387	0.000
rs72704332 lBF = `9.97056` Chr`9` : `8,864,848`	0.613	0.387	0.000
rs114914856 lBF = `18.0454` Chr`6` : `30,973,243`	0.613	0.387	0.000
rs13107325 lBF = `35.3497` Chr`4` : `103,188,709`	0.613	0.387	0.000
rs1800562 lBF = `34.2038` Chr`6` : `26,093,141`	0.613	0.387	0.000
rs117681218 lBF = `15.1496` Chr`19` : `21,045,381`	0.611	0.389	0.000
rs2420371 lBF = `159.024` Chr`1` : `169,491,555`	0.610	0.389	0.000
rs117464696 lBF = `17.5198` Chr`7` : `1,493,376`	0.610	0.390	0.000
rs116061333 lBF = `14.4818` Chr`4` : `157,751,111`	0.610	0.390	0.000
rs62404827 lBF = `14.5298` Chr`6` : `31,932,556`	0.610	0.390	0.000
rs11537751 lBF = `14.7645` Chr`11` : `47,587,452`	0.609	0.391	0.000
rs117131051 lBF = `12.836` Chr`18` : `25,336,648`	0.609	0.391	0.000
rs79098343 lBF = `5.00736` Chr`4` : `5,669,247`	0.608	0.391	0.000
rs66785688 lBF = `3.18762` Chr`11` : `115,711,933`	0.608	0.392	0.000
rs61823177 lBF = `17.368` Chr`1` : `159,815,357`	0.608	0.392	0.000
rs74471121 lBF = `15.6908` Chr`17` : `6,108,771`	0.608	0.392	0.000
rs13224671 lBF = `5.17412` Chr`7` : `6,736,332`	0.608	0.392	0.000
rs117073822 lBF = `14.7798` Chr`16` : `21,337,217`	0.607	0.393	0.000
rs7671654 lBF = `12.4761` Chr`4` : `30,677,046`	0.607	0.393	0.000
rs77626873 lBF = `16.2935` Chr`4` : `146,075,220`	0.607	0.393	0.000
rs77168252 lBF = `9.86373` Chr`11` : `128,734,360`	0.607	0.393	0.000
rs72817538 lBF = `8.10489` Chr`2` : `27,498,844`	0.000	0.393	0.607
rs73335365 lBF = `15.72` Chr`17` : `6,140,995`	0.606	0.394	0.000
rs12342947 lBF = `20.0509` Chr`9` : `7,026,860`	0.606	0.394	0.000
rs2516489 lBF = `32.5039` Chr`6` : `31,488,038`	0.605	0.395	0.000
rs206706 lBF = `5.53842` Chr`6` : `164,531,155`	0.605	0.395	0.000
rs549180 lBF = `5.69332` Chr`11` : `122,063,583`	0.605	0.395	0.000
rs6932207 lBF = `14.5546` Chr`6` : `127,472,624`	0.605	0.395	0.000
rs67497292 lBF = `13.8596` Chr`6` : `31,766,844`	0.604	0.396	0.000
rs112450479 lBF = `16.4795` Chr`11` : `57,268,252`	0.604	0.396	0.000
rs7154757 lBF = `6.00854` Chr`14` : `85,782,524`	0.603	0.396	0.000
rs3850370 lBF = `2.26745` Chr`14` : `78,534,906`	0.603	0.397	0.000
rs10773087 lBF = `5.56414` Chr`12` : `124,878,404`	0.603	0.397	0.000
rs74565952 lBF = `16.1651` Chr`12` : `71,112,797`	0.601	0.398	0.000
rs1393275 lBF = `5.74847` Chr`11` : `115,655,434`	0.601	0.399	0.000
rs2106212 lBF = `24.403` Chr`8` : `12,569,241`	0.601	0.399	0.000
rs116350627 lBF = `18.5363` Chr`3` : `1,467,635`	0.601	0.399	0.000
rs117071818 lBF = `25.7501` Chr`7` : `130,034,949`	0.600	0.400	0.000
rs112308695 lBF = `21.2781` Chr`21` : `18,297,682`	0.600	0.400	0.000
rs1265065 lBF = `18.5675` Chr`6` : `31,077,724`	0.600	0.400	0.000
rs55812591 lBF = `19.7819` Chr`10` : `134,021,576`	0.599	0.400	0.000
rs56393337 lBF = `24.0855` Chr`3` : `69,638,365`	0.599	0.401	0.000
rs76157865 lBF = `14.4081` Chr`19` : `24,169,805`	0.597	0.403	0.000
rs114239030 lBF = `16.2356` Chr`3` : `84,228,854`	0.597	0.403	0.000
rs62340688 lBF = `10.1762` Chr`4` : `104,419,380`	0.596	0.403	0.000
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rs71536865 lBF = `5.98064` Chr`7` : `11,873,259`	0.542	0.458	0.000
rs114176245 lBF = `3.47129` Chr`11` : `102,719,534`	0.542	0.458	0.000
rs80026531 lBF = `23.2313` Chr`6` : `30,744,768`	0.541	0.458	0.000
rs72944377 lBF = `17.6653` Chr`11` : `79,402,751`	0.541	0.459	0.000
rs117599750 lBF = `11.7875` Chr`15` : `40,091,332`	0.541	0.459	0.000
rs76153552 lBF = `18.1323` Chr`9` : `95,913,866`	0.541	0.459	0.000
rs148793625 lBF = `14.7971` Chr`2` : `118,117,059`	0.541	0.459	0.000
rs76195709 lBF = `18.1356` Chr`20` : `7,210,589`	0.541	0.459	0.000
rs72981684 lBF = `3.49192` Chr`11` : `102,724,211`	0.540	0.459	0.000
rs75080821 lBF = `15.089` Chr`1` : `112,264,671`	0.540	0.460	0.000
rs72981680 lBF = `3.48351` Chr`11` : `102,721,859`	0.540	0.460	0.000
rs79983462 lBF = `10.1466` Chr`7` : `123,102,893`	0.540	0.460	0.000
rs9257890 lBF = `17.4967` Chr`6` : `29,486,908`	0.540	0.460	0.000
rs72798157 lBF = `13.8829` Chr`5` : `107,430,034`	0.540	0.460	0.000
rs2722223 lBF = `24.9818` Chr`12` : `90,233,876`	0.540	0.460	0.000
rs72983508 lBF = `3.47867` Chr`11` : `102,727,409`	0.540	0.460	0.000
rs737693 lBF = `3.47867` Chr`11` : `102,726,142`	0.540	0.460	0.000
rs72981675 lBF = `3.47992` Chr`11` : `102,721,251`	0.540	0.460	0.000
rs78792420 lBF = `2.84412` Chr`4` : `24,778,280`	0.540	0.460	0.000
rs113617295 lBF = `18.4784` Chr`6` : `30,719,481`	0.540	0.460	0.000
rs12754465 lBF = `13.0653` Chr`1` : `74,675,210`	0.540	0.460	0.000
rs745978 lBF = `1.85683` Chr`5` : `15,285,414`	0.540	0.460	0.000
rs72981698 lBF = `3.46896` Chr`11` : `102,726,540`	0.540	0.460	0.000
rs17104944 lBF = `5.05105` Chr`14` : `37,143,742`	0.540	0.460	0.000
rs17513625 lBF = `13.3739` Chr`4` : `111,848,270`	0.539	0.461	0.000
rs114850483 lBF = `16.0626` Chr`3` : `5,754,763`	0.539	0.461	0.000
rs72983513 lBF = `3.46329` Chr`11` : `102,728,985`	0.539	0.461	0.000
rs77327606 lBF = `11.6049` Chr`2` : `144,271,136`	0.539	0.461	0.000
rs17415601 lBF = `27.7061` Chr`6` : `29,452,411`	0.539	0.461	0.000
rs4282438 lBF = `7.8663` Chr`6` : `33,072,172`	0.539	0.461	0.000
rs117843447 lBF = `14.1413` Chr`17` : `20,921,845`	0.538	0.462	0.000
rs73425733 lBF = `14.1421` Chr`6` : `30,748,297`	0.538	0.462	0.000
rs74156047 lBF = `30.5215` Chr`1` : `210,892,311`	0.538	0.462	0.000
rs190542424 lBF = `2.80667` Chr`16` : `34,377,824`	0.538	0.462	0.000
rs114800680 lBF = `14.5931` Chr`4` : `105,469,120`	0.537	0.463	0.000
rs13135092 lBF = `37.6514` Chr`4` : `103,198,082`	0.537	0.463	0.000
rs79749933 lBF = `9.58226` Chr`14` : `87,560,818`	0.537	0.463	0.000
rs117983592 lBF = `16.5969` Chr`20` : `50,928,582`	0.537	0.463	0.000
rs78222176 lBF = `16.052` Chr`14` : `100,115,473`	0.537	0.463	0.000
rs117863495 lBF = `14.7593` Chr`12` : `129,432,374`	0.536	0.463	0.000
rs76731769 lBF = `14.8647` Chr`17` : `35,063,138`	0.536	0.464	0.000
rs115741020 lBF = `14.7822` Chr`4` : `46,236,160`	0.536	0.464	0.000
rs910798 lBF = `8.72513` Chr`22` : `50,278,438`	0.536	0.464	0.000
rs28381684 lBF = `3.482` Chr`11` : `102,737,192`	0.536	0.464	0.000
rs62314938 lBF = `16.002` Chr`4` : `75,422,156`	0.536	0.464	0.000
rs77600076 lBF = `5.41577` Chr`21` : `19,531,442`	0.536	0.464	0.000
rs117650759 lBF = `12.6039` Chr`18` : `7,675,399`	0.536	0.464	0.000
rs117352425 lBF = `15.9738` Chr`10` : `5,115,032`	0.535	0.464	0.000
rs75125430 lBF = `16.6037` Chr`9` : `24,472,623`	0.535	0.465	0.000
rs10439884 lBF = `5.61662` Chr`21` : `10,971,951`	0.535	0.465	0.000
rs114306262 lBF = `19.9183` Chr`2` : `158,584,262`	0.535	0.465	0.000
rs72983521 lBF = `3.48687` Chr`11` : `102,730,033`	0.535	0.465	0.000
rs73354199 lBF = `19.383` Chr`6` : `12,592,062`	0.535	0.465	0.000
rs339978 lBF = `5.5937` Chr`15` : `60,937,402`	0.535	0.465	0.000
rs2844482 lBF = `34.6959` Chr`6` : `31,539,767`	0.535	0.465	0.000
rs80170259 lBF = `21.9182` Chr`3` : `5,724,208`	0.535	0.465	0.000
rs9451846 lBF = `18.5341` Chr`6` : `65,219,452`	0.534	0.465	0.000
rs79263266 lBF = `11.9991` Chr`1` : `39,630,310`	0.534	0.465	0.000
rs984001 lBF = `9.46508` Chr`10` : `44,429,319`	0.534	0.466	0.000
rs28932179 lBF = `15.8459` Chr`5` : `176,638,506`	0.534	0.466	0.000
rs78299770 lBF = `19.195` Chr`11` : `82,051,378`	0.534	0.466	0.000
rs9468459 lBF = `21.7539` Chr`6` : `28,965,691`	0.533	0.467	0.000
rs79774432 lBF = `14.4188` Chr`15` : `38,172,034`	0.533	0.467	0.000
rs78007825 lBF = `16.5751` Chr`1` : `113,873,578`	0.533	0.467	0.000
rs76721197 lBF = `12.9868` Chr`7` : `106,727,200`	0.532	0.467	0.000
rs112742247 lBF = `13.3959` Chr`12` : `85,030,619`	0.532	0.468	0.000
rs35053137 lBF = `12.277` Chr`16` : `81,590,859`	0.532	0.468	0.000
rs117557765 lBF = `20.262` Chr`7` : `6,974,872`	0.532	0.468	0.000
rs115128825 lBF = `15.3403` Chr`2` : `169,748,833`	0.531	0.468	0.000
rs77434118 lBF = `11.4517` Chr`3` : `144,965,710`	0.531	0.469	0.000
rs117458579 lBF = `15.4218` Chr`12` : `15,351,989`	0.530	0.469	0.000
rs17368814 lBF = `2.93354` Chr`11` : `102,748,695`	0.530	0.470	0.000
rs2517454 lBF = `19.8983` Chr`6` : `31,060,022`	0.530	0.470	0.000
rs11634027 lBF = `15.0934` Chr`15` : `26,637,415`	0.529	0.470	0.000
rs2517456 lBF = `17.2828` Chr`6` : `31,059,825`	0.529	0.470	0.000
rs13152134 lBF = `12.3669` Chr`4` : `156,465,403`	0.529	0.471	0.000
rs74961451 lBF = `12.6422` Chr`1` : `59,608,141`	0.529	0.471	0.000
rs113937434 lBF = `20.1272` Chr`17` : `34,313,674`	0.529	0.471	0.000
rs117172015 lBF = `17.2619` Chr`22` : `48,636,428`	0.529	0.471	0.000
rs7123576 lBF = `22.1871` Chr`11` : `47,625,046`	0.529	0.471	0.000
rs79395151 lBF = `12.3279` Chr`16` : `22,272,027`	0.529	0.471	0.000
rs61005382 lBF = `32.5006` Chr`1` : `113,333,189`	0.529	0.471	0.000
rs9514526 lBF = `7.57978` Chr`13` : `106,937,337`	0.529	0.471	0.000
rs80201289 lBF = `8.47932` Chr`7` : `150,957,474`	0.529	0.471	0.000
rs182946095 lBF = `14.8151` Chr`6` : `167,730,166`	0.529	0.471	0.000
rs10404732 lBF = `11.9177` Chr`19` : `22,809,599`	0.528	0.472	0.000
rs116990435 lBF = `16.0291` Chr`21` : `42,048,274`	0.528	0.472	0.000
rs78008978 lBF = `13.3787` Chr`12` : `77,282,680`	0.528	0.472	0.000
rs75592780 lBF = `7.58134` Chr`15` : `71,952,163`	0.528	0.472	0.000
rs2276109 lBF = `2.87352` Chr`11` : `102,745,791`	0.527	0.472	0.000
rs76087002 lBF = `13.692` Chr`4` : `187,555,428`	0.527	0.473	0.000
rs115011873 lBF = `13.7122` Chr`2` : `131,517,553`	0.526	0.473	0.000
rs117540688 lBF = `12.0488` Chr`9` : `6,064,428`	0.527	0.473	0.000
rs116795853 lBF = `17.0163` Chr`6` : `31,373,985`	0.526	0.473	0.000
rs17608585 lBF = `14.6972` Chr`10` : `58,890,761`	0.526	0.474	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 X0186

log Bayes Factor = 35.9761

contains 2 variants

0.5024

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.1550

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9991

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.9973

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9917

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9626

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9554

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9489

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9450

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.9381

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.9326

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.9280

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.9271

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.9227

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9179

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.9141

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.9122

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9109

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.9037

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.9027

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.9017

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.8948

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.8868

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.8810

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.8770

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.8687

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.8667

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.8600

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.8594

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.8590

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.8468

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.8387

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.8381

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.8337

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.8321

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.8308

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.8306

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.8287

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.8220

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.8192

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.8182

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.8168

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.8109

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.8096

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.8002

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.7927

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7817

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.7796

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7752

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.7749

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.7563

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.7554

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.7534

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.7505

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.7453

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.7453

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.7359

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.7325

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.7293

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.7290

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7270

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.7259

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.7161

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.7093

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.7081

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.7042

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.6976

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.6965

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.6913

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.6905

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.6886

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.6779

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.6753

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.6752

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.6739

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.6727

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.6708

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.6707

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.6705

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.6663

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.6585

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.6569

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.6555

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.6528

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.6440

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.6434

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.6376

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.6238

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.6166

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.6126

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.6090

Cluster X0305

log Bayes Factor = 14.5546

contains 1 variants

0.6048

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.6040

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.6035

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.5967

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.5940

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.5883

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.5772

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.5760

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.5683

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.5677

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.5667

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.5652

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.5643

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.5625

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.5597

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.5588

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.5580

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.5573

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.5513

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.5432

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.5422

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.5270

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.5263

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.5243

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.5214

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.5121

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.5087

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.4988

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.4975

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.4952

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.4950

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.4939

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.4928

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.4906

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.4693

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.4675

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.4672

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.4644

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.4549

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.4523

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.4438

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.4433

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.4381

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.4372

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.4273

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.4239

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.4105

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.4037

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.3652

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.3641

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.3572

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.3522

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.3448

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.3436

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.3211

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.3195

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.3171

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.3124

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.3020

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.2992

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.2976

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.2974

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.2834

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.2823

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.2769

Cluster X0160

log Bayes Factor = 99.5328

contains 9 variants

0.2672

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.2636

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.2338

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.2325

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.2311

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.2107

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.2049

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.1843

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.1782

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.1716

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.1687

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.1611

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.1474

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.1438

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.1411

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.1396

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.1365

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.1302

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.1286

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.1279

Cluster X0195

log Bayes Factor = 167.337

contains 13 variants

0.1192

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.1131

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.1100

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.1039

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.1035

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.0867

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.0770

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.0717

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.0668

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.0592

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.0519

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`)