TreeWAS – [S11] Open wound of neck

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
rs281289 lBF = `7.60865` Chr`15` : `47,682,079`	0.878	0.122	0.000
rs73154010 lBF = `6.16515` Chr`3` : `161,840,540`	0.876	0.124	0.000
rs11742133 lBF = `8.36622` Chr`5` : `155,268,373`	0.858	0.142	0.000
rs12910916 lBF = `24.3202` Chr`15` : `47,675,655`	0.857	0.143	0.000
rs17511643 lBF = `7.08446` Chr`14` : `79,666,567`	0.828	0.171	0.000
rs6493271 lBF = `2.09238` Chr`15` : `47,613,593`	0.817	0.183	0.000
rs11707684 lBF = `5.89015` Chr`3` : `3,280,462`	0.777	0.223	0.000
rs12154761 lBF = `7.35872` Chr`7` : `68,274,016`	0.756	0.244	0.000
rs6569364 lBF = `7.02344` Chr`6` : `124,158,252`	0.754	0.246	0.000
rs78342332 lBF = `7.79538` Chr`13` : `95,049,165`	0.749	0.251	0.000
rs72914340 lBF = `14.0443` Chr`1` : `58,858,413`	0.744	0.256	0.000
rs115818338 lBF = `12.7588` Chr`5` : `151,963,928`	0.737	0.263	0.000
rs17741506 lBF = `13.2067` Chr`19` : `58,458,516`	0.736	0.264	0.000
rs80124314 lBF = `6.72987` Chr`9` : `30,283,216`	0.735	0.265	0.000
rs4895694 lBF = `5.25171` Chr`6` : `146,546,037`	0.734	0.266	0.000
rs7448069 lBF = `2.22992` Chr`5` : `175,244,034`	0.729	0.271	0.000
rs500044 lBF = `5.94192` Chr`9` : `4,002,823`	0.728	0.272	0.000
rs13431384 lBF = `5.55384` Chr`2` : `127,310,661`	0.727	0.272	0.000
rs2648908 lBF = `12.2754` Chr`8` : `129,127,594`	0.727	0.273	0.000
rs75867155 lBF = `6.99353` Chr`2` : `8,029,114`	0.726	0.273	0.000
rs12071951 lBF = `0.810067` Chr`1` : `97,113,915`	0.726	0.274	0.000
rs1397230 lBF = `10.2387` Chr`3` : `161,797,310`	0.724	0.276	0.000
rs17735173 lBF = `12.1822` Chr`10` : `111,439,737`	0.724	0.276	0.000
rs78605737 lBF = `9.12732` Chr`5` : `73,660,199`	0.723	0.277	0.000
rs11785559 lBF = `6.9921` Chr`8` : `129,300,304`	0.718	0.282	0.000
rs35518360 lBF = `28.5071` Chr`4` : `103,146,890`	0.715	0.285	0.000
rs1548764 lBF = `9.86201` Chr`7` : `71,162,047`	0.711	0.289	0.000
rs41313890 lBF = `16.9354` Chr`1` : `201,932,181`	0.709	0.291	0.000
rs56181521 lBF = `10.1619` Chr`10` : `29,465,241`	0.708	0.292	0.000
rs16937124 lBF = `7.01091` Chr`10` : `36,885,746`	0.707	0.293	0.000
rs72938048 lBF = `8.33195` Chr`6` : `100,389,267`	0.707	0.293	0.000
rs12545092 lBF = `6.89488` Chr`8` : `19,520,367`	0.706	0.294	0.000
rs74320203 lBF = `11.4376` Chr`1` : `20,921,903`	0.705	0.295	0.000
rs12037379 lBF = `11.2434` Chr`1` : `20,959,746`	0.704	0.296	0.000
rs73889852 lBF = `5.62659` Chr`3` : `189,561,323`	0.703	0.297	0.000
rs62340688 lBF = `10.1762` Chr`4` : `104,419,380`	0.702	0.298	0.000
rs76925404 lBF = `5.75099` Chr`1` : `224,997,365`	0.701	0.299	0.000
rs16999204 lBF = `7.39147` Chr`21` : `41,416,066`	0.701	0.299	0.000
rs12980573 lBF = `15.9303` Chr`19` : `11,434,585`	0.700	0.299	0.000
rs746630 lBF = `8.16661` Chr`14` : `83,255,205`	0.700	0.300	0.000
rs3969860 lBF = `18.4227` Chr`19` : `11,447,886`	0.699	0.301	0.000
rs151271410 lBF = `11.5726` Chr`4` : `22,318,165`	0.696	0.304	0.000
rs7275460 lBF = `9.35732` Chr`21` : `41,447,058`	0.696	0.304	0.000
rs3755955 lBF = `6.41512` Chr`4` : `994,414`	0.695	0.305	0.000
rs56201661 lBF = `19.276` Chr`3` : `189,658,609`	0.693	0.307	0.000
rs62141428 lBF = `10.7247` Chr`2` : `80,335,732`	0.692	0.308	0.000
rs6827815 lBF = `8.21735` Chr`4` : `999,445`	0.692	0.308	0.000
rs79346880 lBF = `6.46358` Chr`4` : `28,619,720`	0.692	0.308	0.000
rs116254114 lBF = `9.25391` Chr`14` : `21,228,586`	0.691	0.308	0.000
rs6760338 lBF = `11.3095` Chr`2` : `198,711,900`	0.691	0.309	0.000
rs78789724 lBF = `20.4177` Chr`2` : `201,459,445`	0.691	0.309	0.000
rs9333182 lBF = `6.1855` Chr`10` : `15,619,054`	0.688	0.312	0.000
rs113985666 lBF = `5.17579` Chr`2` : `116,597,876`	0.688	0.312	0.000
rs16861952 lBF = `10.2223` Chr`3` : `149,252,824`	0.687	0.313	0.000
rs114122048 lBF = `17.5378` Chr`5` : `167,787,265`	0.687	0.313	0.000
rs807195 lBF = `6.49504` Chr`3` : `53,616,011`	0.686	0.314	0.000
rs114277376 lBF = `11.6233` Chr`4` : `172,906,241`	0.684	0.315	0.000
rs74754583 lBF = `14.7953` Chr`22` : `20,861,290`	0.684	0.316	0.000
rs117337372 lBF = `13.2949` Chr`17` : `11,026,937`	0.683	0.317	0.000
rs2174550 lBF = `7.80091` Chr`5` : `40,602,383`	0.683	0.317	0.000
rs16888648 lBF = `8.01812` Chr`8` : `39,884,165`	0.682	0.318	0.000
rs13107325 lBF = `35.3497` Chr`4` : `103,188,709`	0.682	0.318	0.000
rs13154291 lBF = `12.6575` Chr`5` : `160,443,509`	0.681	0.319	0.000
rs41308401 lBF = `6.59762` Chr`1` : `150,938,877`	0.680	0.320	0.000
rs7536740 lBF = `11.7453` Chr`1` : `168,472,921`	0.680	0.320	0.000
rs74648291 lBF = `8.7` Chr`5` : `176,165,781`	0.680	0.320	0.000
rs117451751 lBF = `9.59278` Chr`17` : `12,809,905`	0.678	0.322	0.000
rs2814993 lBF = `37.1636` Chr`6` : `34,618,893`	0.677	0.323	0.000
rs12554020 lBF = `7.49373` Chr`9` : `96,270,237`	0.676	0.324	0.000
rs12205572 lBF = `5.88882` Chr`6` : `166,779,464`	0.675	0.325	0.000
rs463329 lBF = `5.68402` Chr`5` : `73,711,709`	0.675	0.325	0.000
rs76984655 lBF = `7.79218` Chr`14` : `51,045,350`	0.675	0.325	0.000
rs13135092 lBF = `37.6514` Chr`4` : `103,198,082`	0.674	0.325	0.000
rs56356712 lBF = `5.21401` Chr`10` : `60,211,412`	0.674	0.326	0.000
rs2791545 lBF = `12.1553` Chr`1` : `219,662,035`	0.674	0.326	0.000
rs10773087 lBF = `5.56414` Chr`12` : `124,878,404`	0.674	0.326	0.000
rs6938239 lBF = `34.3464` Chr`6` : `34,683,635`	0.673	0.327	0.000
rs7544736 lBF = `0.697697` Chr`1` : `97,164,343`	0.673	0.327	0.000
rs62262521 lBF = `5.68817` Chr`3` : `49,173,197`	0.672	0.328	0.000
rs77095817 lBF = `10.8277` Chr`2` : `44,926,615`	0.672	0.328	0.000
rs117577998 lBF = `13.0097` Chr`8` : `143,505,653`	0.672	0.328	0.000
rs16894959 lBF = `30.3222` Chr`6` : `34,825,662`	0.671	0.328	0.000
rs16918683 lBF = `6.04179` Chr`9` : `102,464,999`	0.671	0.329	0.000
rs1261741 lBF = `8.31313` Chr`14` : `83,222,515`	0.671	0.329	0.000
rs79861226 lBF = `13.5365` Chr`2` : `155,790,230`	0.671	0.329	0.000
rs7853605 lBF = `7.60017` Chr`9` : `96,213,529`	0.671	0.329	0.000
Affx-19812848 lBF = `7.86531` Chr`22` : `50,319,079`	0.671	0.329	0.000
rs28392903 lBF = `14.0654` Chr`15` : `26,106,644`	0.671	0.329	0.000
rs35043422 lBF = `8.72348` Chr`8` : `23,274,627`	0.670	0.330	0.000
rs36097565 lBF = `19.5629` Chr`19` : `11,461,486`	0.670	0.330	0.000
rs75706966 lBF = `7.51714` Chr`15` : `33,377,057`	0.670	0.330	0.000
rs1513326 lBF = `11.8646` Chr`3` : `111,297,149`	0.670	0.330	0.000
rs80234524 lBF = `8.67109` Chr`9` : `102,716,279`	0.670	0.330	0.000
rs2814944 lBF = `36.7641` Chr`6` : `34,552,797`	0.670	0.330	0.000
rs4349008 lBF = `7.91478` Chr`13` : `105,803,056`	0.669	0.330	0.000
rs17269740 lBF = `11.1226` Chr`15` : `59,998,058`	0.669	0.331	0.000
rs2744971 lBF = `35.63` Chr`6` : `34,581,636`	0.669	0.331	0.000
rs111451951 lBF = `15.0174` Chr`11` : `99,252,963`	0.669	0.331	0.000
rs72791114 lBF = `8.04324` Chr`16` : `72,205,671`	0.669	0.331	0.000
rs5992105 lBF = `10.7108` Chr`22` : `18,283,247`	0.669	0.331	0.000
rs75356169 lBF = `5.60136` Chr`10` : `107,853,400`	0.669	0.331	0.000
rs17609368 lBF = `6.30427` Chr`14` : `83,082,550`	0.669	0.331	0.000
rs425105 lBF = `1.19079` Chr`19` : `47,208,481`	0.669	0.331	0.000
rs4648 lBF = `17.381` Chr`1` : `201,934,578`	0.668	0.331	0.000
rs77620323 lBF = `16.5538` Chr`2` : `198,625,141`	0.668	0.331	0.000
rs10484552 lBF = `60.6319` Chr`6` : `30,484,036`	0.668	0.332	0.000
rs17450512 lBF = `11.1355` Chr`5` : `118,676,043`	0.667	0.333	0.000
rs116696741 lBF = `6.5453` Chr`4` : `111,106,359`	0.667	0.333	0.000
rs11584120 lBF = `14.9309` Chr`1` : `97,316,509`	0.667	0.333	0.000
rs78614307 lBF = `12.2775` Chr`19` : `5,790,540`	0.666	0.334	0.000
rs72648438 lBF = `7.6831` Chr`1` : `17,923,847`	0.665	0.335	0.000
rs35420030 lBF = `5.6979` Chr`16` : `53,935,407`	0.665	0.335	0.000
rs10968749 lBF = `6.84227` Chr`9` : `28,752,484`	0.665	0.335	0.000
rs12370770 lBF = `24.384` Chr`12` : `112,277,084`	0.665	0.335	0.000
rs6682594 lBF = `11.603` Chr`1` : `241,105,471`	0.664	0.336	0.000
rs78676969 lBF = `7.12915` Chr`22` : `50,319,170`	0.664	0.336	0.000
rs80202445 lBF = `9.82498` Chr`11` : `47,483,164`	0.664	0.336	0.000
rs1165376 lBF = `6.49782` Chr`6` : `117,009,449`	0.664	0.336	0.000
rs3800461 lBF = `38.5883` Chr`6` : `34,616,322`	0.663	0.336	0.000
rs35901992 lBF = `7.26267` Chr`20` : `59,040,427`	0.663	0.337	0.000
rs111825271 lBF = `10.5466` Chr`12` : `66,344,706`	0.663	0.337	0.000
rs79661460 lBF = `14.8033` Chr`22` : `45,380,889`	0.662	0.338	0.000
rs8102610 lBF = `18.6414` Chr`19` : `22,936,708`	0.662	0.338	0.000
rs56183335 lBF = `6.66881` Chr`5` : `141,474,886`	0.662	0.338	0.000
rs5030717 lBF = `1.43687` Chr`9` : `120,473,834`	0.661	0.339	0.000
rs76919247 lBF = `8.09768` Chr`17` : `68,333,424`	0.661	0.339	0.000
rs17528414 lBF = `17.7734` Chr`12` : `32,352,055`	0.661	0.339	0.000
rs78750032 lBF = `11.0825` Chr`1` : `156,671,013`	0.661	0.339	0.000
rs13214831 lBF = `58.4928` Chr`6` : `30,731,505`	0.661	0.339	0.000
rs61740110 lBF = `13.1325` Chr`19` : `22,942,335`	0.660	0.340	0.000
rs79466107 lBF = `7.73424` Chr`20` : `43,590,309`	0.660	0.340	0.000
rs72770110 lBF = `5.57167` Chr`2` : `4,656,873`	0.660	0.340	0.000
rs8107169 lBF = `12.2513` Chr`19` : `22,915,253`	0.660	0.340	0.000
rs17028048 lBF = `11.7118` Chr`1` : `112,129,736`	0.660	0.340	0.000
rs77684214 lBF = `11.7871` Chr`22` : `22,519,071`	0.660	0.340	0.000
rs67405884 lBF = `19.8101` Chr`19` : `50,229,382`	0.659	0.341	0.000
rs9469890 lBF = `33.5115` Chr`6` : `34,763,982`	0.659	0.341	0.000
rs7073278 lBF = `7.5078` Chr`10` : `13,859,897`	0.659	0.341	0.000
rs80312606 lBF = `6.77193` Chr`7` : `73,673,730`	0.658	0.341	0.000
rs72700262 lBF = `12.1803` Chr`1` : `154,769,750`	0.658	0.342	0.000
rs79685532 lBF = `10.6212` Chr`18` : `77,725,683`	0.657	0.342	0.000
rs12371484 lBF = `19.7008` Chr`12` : `111,872,722`	0.657	0.343	0.000
rs17740640 lBF = `5.1173` Chr`8` : `1,005,427`	0.657	0.343	0.000
rs35220816 lBF = `7.31535` Chr`12` : `115,082,017`	0.657	0.343	0.000
rs295130 lBF = `24.0264` Chr`2` : `201,229,984`	0.657	0.343	0.000
rs78254357 lBF = `8.6305` Chr`4` : `127,368,741`	0.657	0.343	0.000
rs117050257 lBF = `8.34736` Chr`11` : `28,231,197`	0.656	0.344	0.000
rs72696787 lBF = `5.03372` Chr`14` : `80,173,873`	0.655	0.344	0.000
rs67497292 lBF = `13.8596` Chr`6` : `31,766,844`	0.655	0.344	0.000
rs72752974 lBF = `6.14767` Chr`9` : `92,516,854`	0.655	0.344	0.000
rs12198288 lBF = `21.6276` Chr`6` : `31,321,638`	0.655	0.344	0.000
rs12077060 lBF = `11.4093` Chr`1` : `97,453,507`	0.655	0.345	0.000
rs118056006 lBF = `8.25296` Chr`15` : `60,087,231`	0.655	0.345	0.000
rs75703265 lBF = `17.7785` Chr`10` : `58,800,953`	0.654	0.346	0.000
rs17545824 lBF = `6.53432` Chr`5` : `110,877,600`	0.654	0.346	0.000
rs17666226 lBF = `6.76342` Chr`18` : `49,166,695`	0.654	0.346	0.000
rs9439462 lBF = `12.5813` Chr`1` : `1,462,766`	0.654	0.346	0.000
rs79508250 lBF = `6.08983` Chr`1` : `229,579,295`	0.654	0.346	0.000
rs79663105 lBF = `7.3296` Chr`13` : `115,004,203`	0.653	0.346	0.000
rs11758945 lBF = `6.63016` Chr`6` : `19,883,664`	0.653	0.347	0.000
rs149578545 lBF = `13.004` Chr`6` : `33,923,324`	0.653	0.347	0.000
rs11755266 lBF = `10.3238` Chr`6` : `35,162,141`	0.653	0.347	0.000
rs117464630 lBF = `8.83519` Chr`10` : `81,006,391`	0.652	0.347	0.000
rs7089876 lBF = `5.76138` Chr`10` : `134,626,256`	0.652	0.347	0.000
rs36055487 lBF = `21.1592` Chr`6` : `31,327,481`	0.652	0.348	0.000
rs72919779 lBF = `7.54229` Chr`11` : `34,682,762`	0.652	0.348	0.000
rs12124584 lBF = `5.64978` Chr`1` : `112,294,010`	0.652	0.348	0.000
rs76123431 lBF = `7.56428` Chr`1` : `46,357,802`	0.651	0.349	0.000
rs118027503 lBF = `5.17072` Chr`18` : `77,687,518`	0.651	0.349	0.000
rs112411280 lBF = `15.0001` Chr`2` : `28,678,625`	0.651	0.349	0.000
rs11640986 lBF = `5.02472` Chr`16` : `89,024,450`	0.651	0.349	0.000
rs72786098 lBF = `5.52274` Chr`10` : `18,729,855`	0.651	0.349	0.000
rs62095487 lBF = `8.49554` Chr`18` : `10,588,095`	0.651	0.349	0.000
rs79286341 lBF = `7.56117` Chr`20` : `7,247,806`	0.650	0.349	0.000
rs71484016 lBF = `12.4416` Chr`11` : `37,205,081`	0.650	0.350	0.000
rs289004 lBF = `8.50201` Chr`5` : `55,684,799`	0.650	0.350	0.000
rs881826 lBF = `5.51054` Chr`6` : `112,301,625`	0.650	0.350	0.000
rs41284366 lBF = `7.57409` Chr`10` : `118,187,444`	0.649	0.350	0.000
rs62009784 lBF = `6.38483` Chr`15` : `49,494,566`	0.649	0.351	0.000
rs74252946 lBF = `13.4758` Chr`17` : `10,125,196`	0.649	0.351	0.000
rs10404732 lBF = `11.9177` Chr`19` : `22,809,599`	0.649	0.351	0.000
rs76951664 lBF = `8.83186` Chr`11` : `30,984,820`	0.649	0.351	0.000
rs62141431 lBF = `10.2305` Chr`2` : `80,342,942`	0.649	0.351	0.000
rs17393098 lBF = `26.5255` Chr`14` : `34,025,230`	0.649	0.351	0.000
rs10515552 lBF = `7.77092` Chr`5` : `145,038,831`	0.648	0.351	0.000
rs72817538 lBF = `8.10489` Chr`2` : `27,498,844`	0.000	0.351	0.648
rs3761936 lBF = `60.4266` Chr`1` : `114,449,662`	0.648	0.352	0.000
rs6500745 lBF = `6.23499` Chr`16` : `6,113,694`	0.648	0.352	0.000
rs118177694 lBF = `9.087` Chr`11` : `41,829,733`	0.648	0.352	0.000
rs7299341 lBF = `5.99167` Chr`12` : `83,224,324`	0.648	0.352	0.000
rs549180 lBF = `5.69332` Chr`11` : `122,063,583`	0.647	0.353	0.000
rs116224392 lBF = `11.3558` Chr`3` : `69,810,826`	0.647	0.353	0.000
rs1388739 lBF = `5.71494` Chr`17` : `50,677,350`	0.647	0.353	0.000
rs12589674 lBF = `5.86884` Chr`14` : `54,246,353`	0.647	0.353	0.000
Affx-28453166 lBF = `21.4257` Chr`6` : `31,327,415`	0.646	0.354	0.000
rs117772358 lBF = `7.09414` Chr`18` : `42,348,576`	0.646	0.354	0.000
rs10401969 lBF = `22.1773` Chr`19` : `19,407,718`	0.645	0.355	0.000
rs12526186 lBF = `58.9659` Chr`6` : `30,736,151`	0.645	0.355	0.000
rs78723060 lBF = `8.61938` Chr`6` : `15,296,993`	0.645	0.355	0.000
rs4425311 lBF = `5.55457` Chr`4` : `4,916,701`	0.645	0.355	0.000
rs74609360 lBF = `1.8041` Chr`15` : `31,540,395`	0.644	0.355	0.000
rs308097 lBF = `9.87212` Chr`7` : `5,880,377`	0.644	0.356	0.000
rs73025756 lBF = `12.0394` Chr`11` : `121,939,415`	0.644	0.356	0.000
rs9671547 lBF = `5.40262` Chr`14` : `21,203,332`	0.644	0.356	0.000
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rs62355136 lBF = `13.1622` Chr`5` : `30,714,599`	0.614	0.385	0.000
rs13085381 lBF = `10.9304` Chr`3` : `145,972,179`	0.614	0.386	0.000
rs17104944 lBF = `5.05105` Chr`14` : `37,143,742`	0.614	0.386	0.000
rs115673556 lBF = `10.9228` Chr`5` : `101,097,401`	0.614	0.386	0.000
rs62446123 lBF = `8.00978` Chr`7` : `22,113,818`	0.614	0.386	0.000
rs79411886 lBF = `11.4958` Chr`7` : `94,561,983`	0.614	0.386	0.000
rs111508397 lBF = `18.9812` Chr`6` : `8,828,609`	0.614	0.386	0.000
rs34075261 lBF = `7.07826` Chr`1` : `112,233,741`	0.613	0.386	0.000
rs17587640 lBF = `6.65411` Chr`1` : `192,101,505`	0.613	0.387	0.000
rs11946166 lBF = `19.0163` Chr`4` : `158,034,727`	0.613	0.387	0.000
rs17504301 lBF = `5.6678` Chr`5` : `123,705,763`	0.613	0.387	0.000
rs17216525 lBF = `13.7081` Chr`19` : `19,662,220`	0.613	0.387	0.000
rs77685854 lBF = `10.8777` Chr`3` : `32,897,040`	0.613	0.387	0.000
rs76280009 lBF = `6.73436` Chr`15` : `30,228,071`	0.613	0.387	0.000
rs138840 lBF = `6.0293` Chr`22` : `50,181,915`	0.613	0.387	0.000
rs9394526 lBF = `6.11316` Chr`6` : `12,090,563`	0.613	0.387	0.000
rs10835606 lBF = `6.93759` Chr`11` : `30,004,238`	0.613	0.387	0.000
rs34737133 lBF = `33.9542` Chr`11` : `69,042,608`	0.613	0.387	0.000
rs78126965 lBF = `7.00211` Chr`4` : `40,437,727`	0.612	0.387	0.000
rs11719004 lBF = `11.3543` Chr`3` : `100,349`	0.612	0.388	0.000
rs75085362 lBF = `5.75544` Chr`10` : `68,563,771`	0.612	0.388	0.000
rs115578729 lBF = `6.02631` Chr`1` : `249,125,649`	0.612	0.388	0.000
rs80106031 lBF = `15.0769` Chr`10` : `13,083,001`	0.612	0.388	0.000
rs76928565 lBF = `5.18234` Chr`13` : `33,170,787`	0.612	0.388	0.000
rs11642961 lBF = `5.1645` Chr`16` : `7,139,435`	0.612	0.388	0.000
rs11067763 lBF = `4.33511` Chr`12` : `116,198,341`	0.612	0.388	0.000
rs73542936 lBF = `11.6477` Chr`8` : `1,839,557`	0.612	0.388	0.000
rs117556572 lBF = `18.3262` Chr`13` : `105,088,917`	0.611	0.389	0.000
rs1800562 lBF = `34.2038` Chr`6` : `26,093,141`	0.611	0.389	0.000
rs114028985 lBF = `29.3338` Chr`2` : `104,957,878`	0.611	0.389	0.000
rs9586179 lBF = `5.22977` Chr`13` : `104,060,087`	0.611	0.389	0.000
rs9369072 lBF = `12.2512` Chr`6` : `12,081,146`	0.611	0.389	0.000
rs17857515 lBF = `18.2473` Chr`9` : `32,542,278`	0.611	0.389	0.000
rs113070825 lBF = `18.5714` Chr`7` : `17,430,916`	0.611	0.389	0.000
rs10424702 lBF = `9.34888` Chr`19` : `19,508,013`	0.611	0.389	0.000
rs11552449 lBF = `58.9658` Chr`1` : `114,448,389`	0.611	0.389	0.000
rs116611433 lBF = `11.807` Chr`1` : `234,277,494`	0.611	0.389	0.000
rs4635580 lBF = `7.44251` Chr`20` : `40,949,831`	0.611	0.389	0.000
rs61976746 lBF = `16.9365` Chr`14` : `31,240,107`	0.611	0.389	0.000
rs74711970 lBF = `11.4782` Chr`6` : `42,803,809`	0.611	0.389	0.000
rs191800091 lBF = `14.8331` Chr`14` : `27,245,961`	0.610	0.389	0.000
rs78668941 lBF = `13.6423` Chr`1` : `160,266,209`	0.610	0.389	0.000
rs854625 lBF = `15.4246` Chr`17` : `34,328,461`	0.610	0.389	0.000
rs753057 lBF = `7.13839` Chr`13` : `113,797,801`	0.610	0.389	0.000
rs28894993 lBF = `144.276` Chr`6` : `31,289,714`	0.610	0.390	0.000
rs17176768 lBF = `11.8039` Chr`14` : `37,151,905`	0.610	0.390	0.000
rs10484621 lBF = `16.1593` Chr`6` : `62,686,818`	0.610	0.390	0.000
rs28780100 lBF = `58.2699` Chr`6` : `30,373,885`	0.610	0.390	0.000
rs60705247 lBF = `7.77481` Chr`18` : `54,741,103`	0.610	0.390	0.000
rs73184024 lBF = `7.44053` Chr`3` : `121,830,755`	0.610	0.390	0.000
rs138851 lBF = `5.14095` Chr`22` : `50,193,636`	0.610	0.390	0.000
rs78687901 lBF = `17.8934` Chr`3` : `173,074,141`	0.610	0.390	0.000
rs11601083 lBF = `16.3801` Chr`11` : `47,634,413`	0.610	0.390	0.000
rs35921408 lBF = `30.4918` Chr`1` : `184,029,795`	0.610	0.390	0.000
rs12900968 lBF = `10.5004` Chr`15` : `58,108,764`	0.610	0.390	0.000
rs61248406 lBF = `13.462` Chr`1` : `60,579,337`	0.610	0.390	0.000
rs34934130 lBF = `11.9795` Chr`12` : `121,502,913`	0.610	0.390	0.000
rs62532816 lBF = `24.7031` Chr`8` : `132,554,452`	0.609	0.390	0.000
rs115604765 lBF = `12.8648` Chr`5` : `151,393,653`	0.609	0.391	0.000
rs71330778 lBF = `9.66342` Chr`22` : `45,444,397`	0.609	0.391	0.000
rs79098343 lBF = `5.00736` Chr`4` : `5,669,247`	0.609	0.391	0.000
rs830478 lBF = `9.24249` Chr`8` : `73,372,875`	0.609	0.391	0.000
rs116861182 lBF = `20.5212` Chr`11` : `55,588,216`	0.609	0.391	0.000
rs17235038 lBF = `16.9173` Chr`10` : `115,614,740`	0.609	0.391	0.000
rs7815944 lBF = `3.84103` Chr`8` : `129,427,518`	0.609	0.391	0.000
rs55721418 lBF = `20.0497` Chr`9` : `133,913,740`	0.609	0.391	0.000
rs17774983 lBF = `12.6669` Chr`16` : `89,493,234`	0.609	0.391	0.000
rs79255123 lBF = `9.35847` Chr`2` : `26,928,476`	0.609	0.391	0.000
rs4363479 lBF = `8.78577` Chr`1` : `202,112,285`	0.609	0.391	0.000
rs114425975 lBF = `5.94479` Chr`2` : `168,051,650`	0.608	0.391	0.000
rs9468474 lBF = `20.5637` Chr`6` : `29,013,133`	0.608	0.392	0.000
rs112473686 lBF = `9.94576` Chr`1` : `106,514,329`	0.608	0.392	0.000
rs67312763 lBF = `7.19039` Chr`20` : `52,070,266`	0.608	0.392	0.000
rs7185320 lBF = `8.98742` Chr`16` : `57,101,373`	0.608	0.392	0.000
rs76242505 lBF = `13.9864` Chr`20` : `55,606,163`	0.608	0.392	0.000
rs11579152 lBF = `12.9501` Chr`1` : `166,493,330`	0.608	0.392	0.000
rs10226831 lBF = `8.59368` Chr`7` : `38,600,741`	0.608	0.392	0.000
rs76444916 lBF = `7.67221` Chr`4` : `179,708,829`	0.608	0.392	0.000
rs116631028 lBF = `11.4875` Chr`1` : `81,019,150`	0.608	0.392	0.000
rs17411949 lBF = `4.20269` Chr`3` : `140,099,693`	0.608	0.392	0.000
rs113197211 lBF = `21.1599` Chr`10` : `134,615,280`	0.607	0.393	0.000
rs2792760 lBF = `12.7806` Chr`10` : `113,850,024`	0.607	0.393	0.000
rs71564781 lBF = `7.78973` Chr`7` : `106,041,964`	0.607	0.393	0.000
rs1847246 lBF = `13.224` Chr`15` : `82,323,786`	0.607	0.393	0.000
rs61737465 lBF = `7.70302` Chr`7` : `94,540,527`	0.607	0.393	0.000
rs1905321 lBF = `6.29726` Chr`8` : `90,220,346`	0.607	0.393	0.000
rs7190199 lBF = `9.04801` Chr`16` : `57,101,340`	0.607	0.393	0.000
rs112625050 lBF = `7.07883` Chr`9` : `9,695,050`	0.607	0.393	0.000
rs12770994 lBF = `5.42363` Chr`10` : `60,432,645`	0.607	0.393	0.000
rs116894699 lBF = `14.9995` Chr`7` : `117,002,834`	0.607	0.393	0.000
rs73364245 lBF = `10.9224` Chr`7` : `63,652,957`	0.607	0.393	0.000
rs802568 lBF = `5.38114` Chr`7` : `145,959,243`	0.607	0.393	0.000
rs78803320 lBF = `9.53531` Chr`4` : `28,241,600`	0.607	0.393	0.000
rs76072566 lBF = `9.69242` Chr`1` : `161,261,242`	0.607	0.393	0.000
rs79300279 lBF = `6.41012` Chr`9` : `6,133,663`	0.607	0.393	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

0.6264

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.4863

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0270

log Bayes Factor = 41.2082

contains 4 variants

0.9680

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.9650

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.9517

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.9504

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.9392

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.9349

Cluster X0035

log Bayes Factor = 620.567

contains 37 variants

0.9194

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.9146

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.9129

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.9106

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.8981

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.8861

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.8775

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.8699

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.8695

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.8646

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.8632

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.8586

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.8453

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.8391

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.8388

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.8253

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.8214

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.8206

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.8106

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.8036

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.7992

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.7942

Cluster X0160

log Bayes Factor = 99.5328

contains 9 variants

0.7920

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.7915

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.7907

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.7849

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.7848

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.7840

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.7783

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.7763

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.7755

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.7743

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.7722

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.7720

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.7716

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.7715

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.7714

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.7713

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.7651

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.7631

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.7621

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.7615

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.7558

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.7556

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.7515

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.7492

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.7443

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.7405

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.7387

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.7371

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.7359

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.7334

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.7282

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.7278

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.7274

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.7169

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.7169

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.7169

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.7169

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.7169

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.7166

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.7166

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.7166

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.7164

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.7164

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.7158

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.7157

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.7156

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.7153

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.7152

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.7151

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.7149

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.7147

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.7142

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.7139

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7138

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.7124

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.7122

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.7109

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.7105

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.7102

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.7102

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.7091

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.7083

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.7072

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.7071

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.7053

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.7053

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.7052

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.7046

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.7033

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.7032

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7025

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.7022

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.7018

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.7005

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.6999

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.6992

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.6987

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.6982

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.6976

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.6974

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.6972

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.6938

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.6920

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.6910

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.6907

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.6897

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.6887

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.6886

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.6885

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.6870

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.6862

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.6860

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.6857

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.6846

Cluster X0173

log Bayes Factor = 654.164

contains 9 variants

0.6836

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.6811

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.6795

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.6775

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.6772

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.6769

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.6767

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.6766

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.6749

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.6745

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.6743

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.6741

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.6733

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.6730

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.6700

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.6696

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.6683

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.6671

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.6665

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.6653

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.6645

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.6626

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.6614

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.6612

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.6604

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.6602

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.6569

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.6566

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.6566

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.6560

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.6554

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.6545

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.6543

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.6535

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.6527

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.6500

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.6495

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.6490

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.6489

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.6466

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.6445

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.6443

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.6341

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.6318

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.6315

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.6223

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.6206

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.6195

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.6192

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.6115

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.6072

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.6072

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.6063

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.6046

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.6011

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.5958

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.5950

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.5944

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.5910

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.5906

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.5832

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.5804

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.5804

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.5776

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.5742

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.5720

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.5663

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.5631

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.5617

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.5492

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.5489

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.5473

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.5450

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.5418

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.5416

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.5416

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.5388

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.5379

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.5346

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.5278

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.5207

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.5203

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.5184

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.5140

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.5140

Cluster X0305

log Bayes Factor = 14.5546

contains 1 variants

0.5102

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.4856

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.4590

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.4219

Cluster X0195

log Bayes Factor = 167.337

contains 13 variants

0.2815

Cluster X0330

log Bayes Factor = 183.455

contains 2 variants

0.2656

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.2187

Cluster X0328

log Bayes Factor = 380.087

contains 8 variants

0.1449

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.1008

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.0953

Cluster X0002

log Bayes Factor = 522.044

contains 22 variants

0.0832

Cluster X0060

log Bayes Factor = 242.413

contains 5 variants

0.0623

Cluster X0287

log Bayes Factor = 33.3095

contains 4 variants

0.0504

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

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

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

Parent term	S10-S19 Injuries to the neck
Nested terms	S11.0 Open wound involving larynx and trachea S11.1 Open wound involving thyroid gland S11.2 Open wound involving pharynx and cervical oesophagus S11.7 Multiple open wounds of neck S11.8 Open wound of other parts of neck S11.9 Open wound of neck, part unspecified

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`)