TreeWAS – [O10.2] Pre-existing hypertensive renal disease complicating pregnancy, childbirth and the puerperium

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
rs9374842 lBF = `7.02448` Chr`6` : `120,185,665`	0.000	0.404	0.595
rs17054265 lBF = `4.41443` Chr`9` : `91,260,562`	0.594	0.405	0.000
rs10415849 lBF = `8.12617` Chr`19` : `19,505,087`	0.585	0.415	0.000
rs79837333 lBF = `19.6803` Chr`5` : `80,512,632`	0.582	0.418	0.000
rs10424702 lBF = `9.34888` Chr`19` : `19,508,013`	0.579	0.421	0.000
rs8107107 lBF = `7.30758` Chr`19` : `42,477,310`	0.573	0.427	0.000
rs62341268 lBF = `11.7208` Chr`4` : `190,224,770`	0.573	0.427	0.000
rs74048198 lBF = `5.94724` Chr`11` : `2,118,282`	0.568	0.432	0.000
rs1329530 lBF = `7.19577` Chr`6` : `120,182,610`	0.565	0.435	0.000
rs151271410 lBF = `11.5726` Chr`4` : `22,318,165`	0.558	0.442	0.000
rs7386241 lBF = `16.8881` Chr`8` : `139,240,856`	0.557	0.443	0.000
rs11662510 lBF = `6.32011` Chr`18` : `77,276,440`	0.556	0.444	0.000
rs75668017 lBF = `16.6332` Chr`15` : `94,960,358`	0.551	0.449	0.000
rs10797386 lBF = `13.2453` Chr`1` : `3,168,280`	0.547	0.453	0.000
rs3850579 lBF = `2.85178` Chr`5` : `141,864,373`	0.000	0.453	0.546
rs75196982 lBF = `11.4824` Chr`9` : `38,110,302`	0.546	0.454	0.000
rs35426951 lBF = `19.3875` Chr`4` : `4,566,274`	0.544	0.456	0.000
rs74252946 lBF = `13.4758` Chr`17` : `10,125,196`	0.539	0.461	0.000
rs72696757 lBF = `13.7503` Chr`1` : `112,707,919`	0.535	0.464	0.000
rs77307613 lBF = `10.1553` Chr`18` : `66,961,498`	0.533	0.467	0.000
rs76157199 lBF = `10.0516` Chr`2` : `98,541,874`	0.528	0.471	0.000
rs2249031 lBF = `7.12134` Chr`11` : `105,800,066`	0.527	0.472	0.000
rs2237897 lBF = `14.807` Chr`11` : `2,858,546`	0.527	0.473	0.000
rs35836525 lBF = `18.108` Chr`2` : `97,601,693`	0.526	0.474	0.000
rs76951664 lBF = `8.83186` Chr`11` : `30,984,820`	0.525	0.475	0.000
rs9608465 lBF = `8.83361` Chr`22` : `26,557,408`	0.525	0.475	0.000
rs77765535 lBF = `7.35154` Chr`4` : `99,530,638`	0.522	0.478	0.000
rs12037379 lBF = `11.2434` Chr`1` : `20,959,746`	0.520	0.480	0.000
rs73592448 lBF = `7.09386` Chr`19` : `36,258,721`	0.519	0.481	0.000
rs72744984 lBF = `24.9026` Chr`1` : `197,887,266`	0.517	0.483	0.000
rs57551647 lBF = `6.18396` Chr`12` : `85,602,577`	0.517	0.483	0.000
rs10835606 lBF = `6.93759` Chr`11` : `30,004,238`	0.517	0.483	0.000
rs56003409 lBF = `8.45799` Chr`19` : `32,096,558`	0.516	0.483	0.000
rs34457396 lBF = `18.3682` Chr`19` : `10,752,352`	0.515	0.485	0.000
rs2965324 lBF = `13.1575` Chr`15` : `48,274,460`	0.514	0.486	0.000
rs74088517 lBF = `6.49283` Chr`14` : `97,195,171`	0.514	0.486	0.000
rs78990647 lBF = `15.3465` Chr`2` : `236,837,582`	0.514	0.486	0.000
rs78687901 lBF = `17.8934` Chr`3` : `173,074,141`	0.513	0.486	0.000
rs114707893 lBF = `16.0863` Chr`2` : `97,566,051`	0.513	0.486	0.000
rs74320203 lBF = `11.4376` Chr`1` : `20,921,903`	0.513	0.487	0.000
rs117508732 lBF = `10.2984` Chr`15` : `67,824,170`	0.511	0.489	0.000
rs10209766 lBF = `11.0593` Chr`2` : `35,161,415`	0.511	0.489	0.000
rs113285159 lBF = `5.01196` Chr`18` : `40,971,984`	0.510	0.490	0.000
rs72731844 lBF = `8.46443` Chr`4` : `147,555,879`	0.510	0.490	0.000
rs35478175 lBF = `6.93402` Chr`10` : `105,553,793`	0.510	0.490	0.000
rs2176075 lBF = `6.99834` Chr`14` : `90,459,569`	0.510	0.490	0.000
rs9308962 lBF = `12.3845` Chr`2` : `35,155,265`	0.510	0.490	0.000
rs35632171 lBF = `10.0741` Chr`10` : `65,109,502`	0.510	0.490	0.000
rs75867155 lBF = `6.99353` Chr`2` : `8,029,114`	0.509	0.491	0.000
rs354157 lBF = `8.30182` Chr`1` : `49,678,990`	0.508	0.491	0.000
rs77382928 lBF = `9.24275` Chr`1` : `49,988,835`	0.508	0.492	0.000
rs12632235 lBF = `6.76759` Chr`3` : `100,536,284`	0.508	0.492	0.000
rs73198922 lBF = `7.10026` Chr`8` : `10,958,663`	0.507	0.492	0.000
rs140529718 lBF = `2.47724` Chr`5` : `111,326,200`	0.507	0.493	0.000
rs2495244 lBF = `8.29163` Chr`6` : `41,495,339`	0.507	0.493	0.000
rs12135062 lBF = `5.99481` Chr`1` : `3,103,312`	0.507	0.493	0.000
rs35506702 lBF = `8.81167` Chr`10` : `65,045,865`	0.506	0.493	0.000
rs76558737 lBF = `11.0862` Chr`18` : `19,432,268`	0.506	0.494	0.000
rs116249078 lBF = `11.4951` Chr`4` : `69,792,030`	0.505	0.495	0.000
rs77745943 lBF = `12.1624` Chr`9` : `99,034,907`	0.504	0.496	0.000
rs79845597 lBF = `6.34669` Chr`8` : `10,319,327`	0.000	0.496	0.503
rs17064 lBF = `12.5491` Chr`7` : `87,133,470`	0.503	0.497	0.000
rs80084511 lBF = `7.45888` Chr`22` : `36,704,700`	0.503	0.497	0.000
rs114089901 lBF = `24.7301` Chr`2` : `97,528,099`	0.503	0.497	0.000
rs11585842 lBF = `12.4024` Chr`1` : `245,841,531`	0.503	0.497	0.000
rs72767417 lBF = `6.73352` Chr`15` : `94,813,962`	0.502	0.498	0.000
rs10515552 lBF = `7.77092` Chr`5` : `145,038,831`	0.502	0.498	0.000
rs12070935 lBF = `15.5963` Chr`1` : `5,091,631`	0.501	0.499	0.000
rs2965313 lBF = `14.0878` Chr`15` : `48,241,505`	0.501	0.499	0.000
rs2678912 lBF = `7.34991` Chr`2` : `58,145,973`	0.501	0.499	0.000
rs75355801 lBF = `8.34629` Chr`1` : `50,185,751`	0.500	0.499	0.000
rs17727296 lBF = `13.2947` Chr`8` : `72,558,829`	0.500	0.499	0.000
rs79253379 lBF = `17.0318` Chr`11` : `86,168,312`	0.500	0.500	0.000
rs77544976 lBF = `8.34279` Chr`8` : `143,465,481`	0.499	0.501	0.000
rs72983278 lBF = `6.95338` Chr`6` : `148,913,690`	0.498	0.502	0.000
rs7536740 lBF = `11.7453` Chr`1` : `168,472,921`	0.497	0.502	0.000
rs117681218 lBF = `15.1496` Chr`19` : `21,045,381`	0.497	0.503	0.000
rs17006842 lBF = `1.77826` Chr`3` : `70,259,702`	0.497	0.503	0.000
rs62272723 lBF = `13.2782` Chr`3` : `151,963,160`	0.497	0.503	0.000
rs1409005 lBF = `1.06167` Chr`13` : `79,155,612`	0.497	0.503	0.000
rs16919333 lBF = `7.20476` Chr`9` : `103,452,327`	0.496	0.503	0.000
rs78748841 lBF = `14.8242` Chr`6` : `24,978,873`	0.496	0.504	0.000
rs117451751 lBF = `9.59278` Chr`17` : `12,809,905`	0.496	0.504	0.000
rs41277101 lBF = `5.09532` Chr`9` : `36,337,253`	0.494	0.505	0.000
rs75056204 lBF = `8.7084` Chr`9` : `76,174,850`	0.494	0.506	0.000
rs75579756 lBF = `14.6674` Chr`2` : `174,201,924`	0.494	0.506	0.000
rs76309893 lBF = `21.1949` Chr`16` : `13,228,713`	0.492	0.508	0.000
rs117024145 lBF = `17.1515` Chr`17` : `8,005,847`	0.492	0.508	0.000
rs116044577 lBF = `12.8773` Chr`3` : `173,023,621`	0.492	0.508	0.000
rs4942278 lBF = `11.2944` Chr`13` : `44,681,950`	0.492	0.508	0.000
rs34986024 lBF = `38.1993` Chr`6` : `64,667,005`	0.492	0.508	0.000
rs10819009 lBF = `6.78047` Chr`9` : `98,367,811`	0.491	0.509	0.000
rs73918213 lBF = `16.0519` Chr`19` : `897,171`	0.491	0.509	0.000
rs78603684 lBF = `12.2634` Chr`10` : `74,321,054`	0.490	0.509	0.000
rs117064875 lBF = `12.0836` Chr`11` : `28,313,112`	0.490	0.510	0.000
rs16889916 lBF = `20.7757` Chr`6` : `24,989,384`	0.489	0.510	0.000
rs74776058 lBF = `16.3733` Chr`9` : `30,014,333`	0.489	0.510	0.000
rs17790731 lBF = `6.01635` Chr`5` : `94,983,529`	0.489	0.510	0.000
rs10401969 lBF = `22.1773` Chr`19` : `19,407,718`	0.489	0.511	0.000
rs117843447 lBF = `14.1413` Chr`17` : `20,921,845`	0.489	0.511	0.000
rs2570159 lBF = `5.73932` Chr`8` : `75,821,686`	0.488	0.512	0.000
rs4349008 lBF = `7.91478` Chr`13` : `105,803,056`	0.488	0.512	0.000
rs149038799 lBF = `3.1664` Chr`8` : `123,458,462`	0.488	0.512	0.000
rs35587409 lBF = `12.2827` Chr`12` : `100,841,306`	0.487	0.512	0.000
rs117577998 lBF = `13.0097` Chr`8` : `143,505,653`	0.487	0.513	0.000
rs79661460 lBF = `14.8033` Chr`22` : `45,380,889`	0.487	0.513	0.000
rs72705699 lBF = `11.092` Chr`1` : `168,820,294`	0.487	0.513	0.000
rs116907527 lBF = `12.5204` Chr`7` : `2,642,223`	0.487	0.513	0.000
rs17394246 lBF = `22.6201` Chr`13` : `25,208,811`	0.485	0.514	0.000
rs36080042 lBF = `7.12997` Chr`10` : `65,426,785`	0.485	0.514	0.000
rs113984483 lBF = `13.9687` Chr`2` : `35,302,577`	0.485	0.515	0.000
rs12085650 lBF = `5.18612` Chr`1` : `31,490,096`	0.000	0.515	0.485
rs77657273 lBF = `15.1219` Chr`14` : `35,139,957`	0.484	0.516	0.000
Affx-15892044 lBF = `7.1836` Chr`19` : `36,230,767`	0.483	0.516	0.000
rs78614307 lBF = `12.2775` Chr`19` : `5,790,540`	0.483	0.517	0.000
rs9267650 lBF = `10.3635` Chr`6` : `31,824,912`	0.483	0.517	0.000
rs17719860 lBF = `5.58804` Chr`9` : `78,644,071`	0.483	0.517	0.000
rs76178988 lBF = `5.33366` Chr`8` : `10,785,942`	0.482	0.518	0.000
rs9300286 lBF = `6.33079` Chr`12` : `128,617,839`	0.482	0.518	0.000
rs115326449 lBF = `19.0223` Chr`6` : `63,544,853`	0.482	0.518	0.000
rs138117236 lBF = `16.8457` Chr`15` : `83,309,422`	0.481	0.518	0.000
rs196586 lBF = `13.7618` Chr`7` : `36,320,821`	0.481	0.519	0.000
rs78046234 lBF = `9.70863` Chr`3` : `149,328,575`	0.481	0.519	0.000
rs4864469 lBF = `13.6938` Chr`4` : `54,413,304`	0.481	0.519	0.000
rs17887018 lBF = `17.3793` Chr`19` : `36,641,563`	0.481	0.519	0.000
rs75112989 lBF = `155.723` Chr`1` : `169,099,137`	0.481	0.519	0.000
rs11065791 lBF = `12.9532` Chr`12` : `111,460,000`	0.481	0.519	0.000
rs7448069 lBF = `2.22992` Chr`5` : `175,244,034`	0.480	0.519	0.000
rs79120241 lBF = `12.9559` Chr`14` : `48,698,503`	0.480	0.519	0.000
rs76531899 lBF = `13.8951` Chr`5` : `109,156,748`	0.480	0.520	0.000
rs12566545 lBF = `5.07567` Chr`1` : `31,556,264`	0.000	0.520	0.480
rs77169098 lBF = `26.0362` Chr`2` : `97,638,495`	0.480	0.520	0.000
rs114187425 lBF = `13.4722` Chr`4` : `127,057,914`	0.480	0.520	0.000
rs71435583 lBF = `11.0177` Chr`2` : `20,924,244`	0.480	0.520	0.000
rs116740811 lBF = `5.20808` Chr`3` : `76,718,625`	0.479	0.521	0.000
rs143954261 lBF = `3.1342` Chr`5` : `126,729,450`	0.478	0.521	0.000
rs1653608 lBF = `16.5227` Chr`12` : `121,706,733`	0.478	0.521	0.000
rs117464696 lBF = `17.5198` Chr`7` : `1,493,376`	0.478	0.522	0.000
rs76521925 lBF = `12.5137` Chr`7` : `47,706,389`	0.478	0.522	0.000
rs79508250 lBF = `6.08983` Chr`1` : `229,579,295`	0.478	0.522	0.000
rs72770140 lBF = `7.00192` Chr`2` : `4,666,772`	0.478	0.522	0.000
rs12410444 lBF = `1.56248` Chr`1` : `44,188,719`	0.478	0.522	0.000
rs117473458 lBF = `11.4108` Chr`14` : `38,261,632`	0.477	0.522	0.000
rs1314913 lBF = `2.73209` Chr`14` : `68,699,594`	0.477	0.523	0.000
rs76733568 lBF = `27.8026` Chr`9` : `24,659,540`	0.476	0.523	0.000
rs41284366 lBF = `7.57409` Chr`10` : `118,187,444`	0.476	0.524	0.000
rs34131676 lBF = `12.8525` Chr`13` : `37,668,379`	0.476	0.524	0.000
rs77759352 lBF = `23.6884` Chr`18` : `19,521,256`	0.476	0.524	0.000
rs16968377 lBF = `9.38458` Chr`17` : `36,942,396`	0.476	0.524	0.000
rs71330778 lBF = `9.66342` Chr`22` : `45,444,397`	0.476	0.524	0.000
rs17242346 lBF = `9.05282` Chr`19` : `11,198,780`	0.476	0.524	0.000
rs61754763 lBF = `16.2187` Chr`20` : `5,966,763`	0.476	0.524	0.000
rs116580228 lBF = `10.6549` Chr`2` : `84,366,813`	0.475	0.524	0.000
rs116853542 lBF = `17.1118` Chr`7` : `18,656,230`	0.475	0.525	0.000
rs9275334 lBF = `329.259` Chr`6` : `32,667,107`	0.474	0.525	0.000
rs17752346 lBF = `20.272` Chr`6` : `56,769,420`	0.474	0.526	0.000
rs854625 lBF = `15.4246` Chr`17` : `34,328,461`	0.474	0.526	0.000
rs7551672 lBF = `7.66104` Chr`1` : `237,262,184`	0.474	0.526	0.000
rs79446318 lBF = `8.77806` Chr`17` : `74,612,692`	0.474	0.526	0.000
rs12039519 lBF = `3.41232` Chr`1` : `161,953,400`	0.474	0.526	0.000
rs112588716 lBF = `10.293` Chr`19` : `48,119,266`	0.474	0.526	0.000
rs75522355 lBF = `12.1753` Chr`16` : `6,640,457`	0.473	0.526	0.000
rs72649226 lBF = `15.4053` Chr`8` : `64,550,665`	0.473	0.526	0.000
rs9533771 lBF = `9.60568` Chr`13` : `44,677,599`	0.473	0.527	0.000
rs219976 lBF = `9.00082` Chr`6` : `12,199,517`	0.473	0.527	0.000
rs117593677 lBF = `14.7112` Chr`9` : `21,318,205`	0.473	0.527	0.000
rs945307 lBF = `13.1426` Chr`14` : `57,824,617`	0.473	0.527	0.000
rs6926578 lBF = `6.33705` Chr`6` : `142,074,024`	0.473	0.527	0.000
rs4782160 lBF = `13.3659` Chr`16` : `14,650,645`	0.472	0.527	0.000
rs117811601 lBF = `12.5145` Chr`13` : `109,010,696`	0.472	0.528	0.000
rs115081579 lBF = `14.3442` Chr`3` : `178,513,059`	0.472	0.528	0.000
rs114659777 lBF = `10.4967` Chr`5` : `146,011,408`	0.471	0.528	0.000
rs74453195 lBF = `16.6461` Chr`10` : `97,898,846`	0.471	0.528	0.000
rs62057608 lBF = `5.08013` Chr`16` : `34,682,193`	0.471	0.528	0.000
rs117018013 lBF = `15.0209` Chr`7` : `45,285,823`	0.471	0.529	0.000
rs79638442 lBF = `13.2792` Chr`5` : `66,180,409`	0.470	0.529	0.000
rs116998110 lBF = `13.3549` Chr`2` : `72,099,750`	0.470	0.529	0.000
rs3128935 lBF = `12.9734` Chr`6` : `32,972,404`	0.470	0.529	0.000
rs12892019 lBF = `13.1568` Chr`14` : `25,759,476`	0.470	0.530	0.000
rs117089640 lBF = `23.0292` Chr`12` : `125,048,557`	0.469	0.530	0.000
rs193031333 lBF = `7.91451` Chr`16` : `79,189,810`	0.469	0.531	0.000
rs28459338 lBF = `6.27018` Chr`15` : `67,097,927`	0.469	0.531	0.000
rs118177694 lBF = `9.087` Chr`11` : `41,829,733`	0.469	0.531	0.000
rs80301223 lBF = `12.0195` Chr`8` : `119,648,160`	0.469	0.531	0.000
rs10439884 lBF = `5.61662` Chr`21` : `10,971,951`	0.469	0.531	0.000
rs114718455 lBF = `13.0267` Chr`3` : `53,464,055`	0.469	0.531	0.000
rs117898212 lBF = `11.208` Chr`18` : `46,947,056`	0.469	0.531	0.000
rs11601906 lBF = `0.741712` Chr`11` : `131,325,246`	0.469	0.531	0.000
rs77396437 lBF = `6.42134` Chr`10` : `42,725,820`	0.468	0.531	0.000
rs17412357 lBF = `6.22841` Chr`14` : `32,976,219`	0.468	0.531	0.000
rs116245640 lBF = `16.5949` Chr`2` : `194,726,307`	0.468	0.532	0.000
rs61919599 lBF = `9.83827` Chr`12` : `528,351`	0.468	0.532	0.000
rs3731189 lBF = `12.1962` Chr`3` : `14,186,238`	0.467	0.532	0.000
rs116940284 lBF = `11.3342` Chr`11` : `63,333,643`	0.467	0.532	0.000
rs75964673 lBF = `16.7468` Chr`3` : `192,398,663`	0.467	0.532	0.000
rs4698169 lBF = `4.23782` Chr`4` : `17,135,343`	0.467	0.533	0.000
rs72649272 lBF = `12.7562` Chr`1` : `29,547,495`	0.467	0.533	0.000
rs12000567 lBF = `4.07403` Chr`9` : `789,499`	0.467	0.533	0.000
rs1889721 lBF = `15.2322` Chr`14` : `57,778,179`	0.467	0.533	0.000
rs4384548 lBF = `2.26682` Chr`14` : `96,645,143`	0.000	0.533	0.467
rs34735233 lBF = `8.29735` Chr`16` : `3,993,318`	0.466	0.533	0.000
rs7912575 lBF = `12.5771` Chr`10` : `83,655,730`	0.466	0.534	0.000
rs187353341 lBF = `19.0434` Chr`12` : `121,557,376`	0.466	0.534	0.000
rs35638776 lBF = `33.5106` Chr`6` : `64,613,233`	0.466	0.534	0.000
rs72756269 lBF = `20.6952` Chr`9` : `119,147,710`	0.466	0.534	0.000
rs9926335 lBF = `6.67192` Chr`16` : `56,583,726`	0.466	0.534	0.000
rs72745400 lBF = `16.2767` Chr`1` : `217,672,512`	0.466	0.534	0.000
rs2132138 lBF = `13.4027` Chr`8` : `15,386,569`	0.466	0.534	0.000
rs2413121 lBF = `7.58938` Chr`22` : `32,895,978`	0.466	0.534	0.000
rs77711036 lBF = `6.2686` Chr`3` : `187,321,533`	0.466	0.534	0.000
rs62328524 lBF = `13.1701` Chr`4` : `161,682,941`	0.466	0.534	0.000
rs1473500 lBF = `1.94868` Chr`6` : `168,511,016`	0.465	0.534	0.000
rs73272823 lBF = `15.6671` Chr`14` : `66,292,820`	0.465	0.535	0.000
rs114561626 lBF = `19.183` Chr`3` : `44,188,954`	0.464	0.536	0.000
rs2663357 lBF = `14.3146` Chr`17` : `811,874`	0.464	0.536	0.000
rs76050622 lBF = `12.2442` Chr`11` : `124,146,251`	0.464	0.536	0.000
rs116821480 lBF = `12.384` Chr`2` : `165,547,969`	0.464	0.536	0.000
rs72883103 lBF = `10.4164` Chr`17` : `74,629,898`	0.464	0.536	0.000
rs138522855 lBF = `21.8188` Chr`7` : `76,140,330`	0.463	0.537	0.000
rs76605533 lBF = `18.0219` Chr`9` : `100,624,553`	0.463	0.537	0.000
rs170429 lBF = `12.1591` Chr`5` : `41,294,802`	0.462	0.537	0.000
rs111583008 lBF = `14.8938` Chr`20` : `5,951,050`	0.462	0.537	0.000
rs13182752 lBF = `18.852` Chr`5` : `52,672,171`	0.462	0.538	0.000
rs2168211 lBF = `16.1589` Chr`14` : `31,000,608`	0.462	0.538	0.000
rs138477082 lBF = `2.62368` Chr`12` : `103,796,611`	0.462	0.538	0.000
rs17269740 lBF = `11.1226` Chr`15` : `59,998,058`	0.462	0.538	0.000
rs78269264 lBF = `5.9998` Chr`9` : `2,064,351`	0.462	0.538	0.000
rs77753228 lBF = `5.4503` Chr`18` : `41,134,775`	0.461	0.538	0.000
rs72657827 lBF = `22.3443` Chr`1` : `23,392,108`	0.461	0.539	0.000
rs146733600 lBF = `68.4232` Chr`6` : `32,573,760`	0.461	0.539	0.000
rs35404844 lBF = `99.3549` Chr`6` : `33,269,881`	0.461	0.539	0.000
rs72841201 lBF = `12.2145` Chr`5` : `169,287,285`	0.461	0.539	0.000
rs12370770 lBF = `24.384` Chr`12` : `112,277,084`	0.460	0.539	0.000
rs73602806 lBF = `6.20853` Chr`19` : `36,168,646`	0.460	0.539	0.000
rs12409334 lBF = `13.2966` Chr`1` : `206,718,142`	0.460	0.540	0.000
rs118155463 lBF = `21.1268` Chr`17` : `8,079,842`	0.460	0.540	0.000
rs9652781 lBF = `17.8088` Chr`16` : `195,391`	0.460	0.540	0.000
rs75655068 lBF = `13.5772` Chr`7` : `92,658,364`	0.459	0.540	0.000
rs10484621 lBF = `16.1593` Chr`6` : `62,686,818`	0.459	0.541	0.000
rs56198862 lBF = `5.18995` Chr`1` : `41,172,312`	0.459	0.541	0.000
rs2351326 lBF = `12.3551` Chr`8` : `111,847,246`	0.458	0.541	0.000
rs11598874 lBF = `10.4305` Chr`10` : `39,006,198`	0.458	0.541	0.000
rs76195709 lBF = `18.1356` Chr`20` : `7,210,589`	0.458	0.541	0.000
rs117069376 lBF = `9.48441` Chr`21` : `19,995,322`	0.000	0.541	0.458
rs62225901 lBF = `13.6826` Chr`22` : `46,505,819`	0.458	0.542	0.000
rs73090154 lBF = `1.70548` Chr`3` : `59,280,504`	0.458	0.542	0.000
rs79581221 lBF = `9.13228` Chr`5` : `81,379,394`	0.458	0.542	0.000
rs116490929 lBF = `12.9583` Chr`1` : `62,741,015`	0.458	0.542	0.000
rs75564153 lBF = `12.9648` Chr`4` : `126,393,692`	0.458	0.542	0.000
rs2301601 lBF = `7.06119` Chr`16` : `23,366,528`	0.458	0.542	0.000
rs7863943 lBF = `13.4081` Chr`9` : `100,306,204`	0.458	0.542	0.000
rs4376071 lBF = `0.620637` Chr`3` : `32,264,991`	0.458	0.542	0.000
rs74347133 lBF = `17.4128` Chr`16` : `13,216,365`	0.458	0.542	0.000
rs62378043 lBF = `12.7136` Chr`5` : `117,199,683`	0.457	0.542	0.000
rs76153552 lBF = `18.1323` Chr`9` : `95,913,866`	0.457	0.543	0.000
rs10494913 lBF = `13.2918` Chr`1` : `209,114,268`	0.457	0.543	0.000
rs16970649 lBF = `5.96979` Chr`19` : `36,222,857`	0.457	0.543	0.000
rs72723250 lBF = `16.9653` Chr`5` : `7,280,506`	0.456	0.543	0.000
rs75302082 lBF = `13.6236` Chr`11` : `19,684,290`	0.456	0.543	0.000
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rs111451951 lBF = `15.0174` Chr`11` : `99,252,963`	0.456	0.544	0.000
rs35292876 lBF = `4.20174` Chr`1` : `196,706,642`	0.456	0.544	0.000
rs28417927 lBF = `12.3757` Chr`18` : `58,226,910`	0.456	0.544	0.000
rs13105680 lBF = `13.3557` Chr`4` : `108,280,221`	0.456	0.544	0.000
rs117344772 lBF = `17.1436` Chr`11` : `13,156,014`	0.456	0.544	0.000
rs190548655 lBF = `14.709` Chr`3` : `45,388,151`	0.456	0.544	0.000
rs2304130 lBF = `2.86455` Chr`19` : `19,789,528`	0.456	0.544	0.000
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rs2227278 lBF = `7.91754` Chr`19` : `36,206,050`	0.455	0.545	0.000
rs9451846 lBF = `18.5341` Chr`6` : `65,219,452`	0.455	0.545	0.000
rs71370433 lBF = `1.56699` Chr`17` : `6,197,824`	0.455	0.545	0.000
rs2267586 lBF = `8.83369` Chr`19` : `36,159,368`	0.455	0.545	0.000
rs1596724 lBF = `2.76067` Chr`4` : `32,555,853`	0.455	0.545	0.000
rs79731608 lBF = `7.83144` Chr`1` : `215,891,981`	0.454	0.546	0.000
rs75807633 lBF = `18.3777` Chr`6` : `135,495,020`	0.454	0.546	0.000
rs117181604 lBF = `12.3739` Chr`13` : `21,797,762`	0.454	0.546	0.000
rs113202432 lBF = `14.8132` Chr`5` : `59,122,948`	0.454	0.546	0.000
rs58952294 lBF = `6.46717` Chr`19` : `36,184,643`	0.454	0.546	0.000
rs34026507 lBF = `10.4882` Chr`18` : `864,782`	0.453	0.546	0.000
rs79858930 lBF = `31.6188` Chr`10` : `83,047,434`	0.453	0.546	0.000
rs11190812 lBF = `16.1442` Chr`10` : `102,824,292`	0.453	0.547	0.000
rs11641700 lBF = `7.55882` Chr`16` : `57,780,381`	0.453	0.547	0.000
rs78730305 lBF = `9.92833` Chr`12` : `104,669,564`	0.453	0.547	0.000
rs34665903 lBF = `7.545` Chr`8` : `62,699,372`	0.453	0.547	0.000
rs73599289 lBF = `8.85426` Chr`19` : `36,156,281`	0.453	0.547	0.000
rs74565952 lBF = `16.1651` Chr`12` : `71,112,797`	0.453	0.547	0.000
rs61749279 lBF = `14.7999` Chr`1` : `16,531,263`	0.452	0.547	0.000
rs17072846 lBF = `6.35937` Chr`4` : `183,117,828`	0.452	0.547	0.000
rs191780267 lBF = `4.50227` Chr`12` : `89,289,255`	0.452	0.548	0.000
rs80076601 lBF = `13.5975` Chr`20` : `24,148,686`	0.452	0.548	0.000
Affx-21291542 lBF = `12.1623` Chr`3` : `141,344,672`	0.452	0.548	0.000
rs73387635 lBF = `15.4845` Chr`9` : `1,814,698`	0.452	0.548	0.000
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rs78775229 lBF = `15.1154` Chr`18` : `36,175,363`	0.452	0.548	0.000
rs34641959 lBF = `19.1716` Chr`16` : `85,568,804`	0.452	0.548	0.000
rs115720202 lBF = `18.7627` Chr`12` : `89,746,581`	0.452	0.548	0.000
Affx-20583135 lBF = `9.49321` Chr`2` : `82,456,396`	0.000	0.549	0.451
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rs76697503 lBF = `14.8873` Chr`20` : `40,295,452`	0.451	0.549	0.000
rs9284510 lBF = `6.78234` Chr`21` : `47,557,074`	0.451	0.549	0.000
rs117066666 lBF = `16.3713` Chr`13` : `104,588,913`	0.451	0.549	0.000
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rs72730448 lBF = `14.5786` Chr`1` : `93,533,524`	0.450	0.549	0.000
rs12721025 lBF = `1.60152` Chr`11` : `116,706,047`	0.000	0.549	0.450
rs78407966 lBF = `14.4033` Chr`4` : `158,833,699`	0.450	0.549	0.000
Affx-19135860 lBF = `11.016` Chr`2` : `220,045,902`	0.450	0.550	0.000
rs114481486 lBF = `15.1462` Chr`4` : `67,890,992`	0.450	0.550	0.000
rs3172494 lBF = `6.58272` Chr`3` : `48,731,487`	0.449	0.550	0.000
rs56356712 lBF = `5.21401` Chr`10` : `60,211,412`	0.449	0.550	0.000
rs16845887 lBF = `12.9189` Chr`4` : `72,005,823`	0.449	0.551	0.000
rs117704155 lBF = `14.0485` Chr`14` : `37,850,007`	0.449	0.551	0.000
rs114321626 lBF = `12.3123` Chr`5` : `179,793,378`	0.449	0.551	0.000
rs9813389 lBF = `7.33298` Chr`3` : `131,837,290`	0.449	0.551	0.000
rs117669821 lBF = `20.5156` Chr`14` : `88,258,889`	0.448	0.552	0.000
rs58280396 lBF = `16.5379` Chr`18` : `55,720,852`	0.448	0.552	0.000
rs9451906 lBF = `28.3252` Chr`6` : `65,240,905`	0.448	0.552	0.000
rs199055 lBF = `13.8929` Chr`6` : `23,490,117`	0.448	0.552	0.000
rs111932090 lBF = `8.81436` Chr`3` : `155,268,658`	0.448	0.552	0.000
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rs114848727 lBF = `32.9543` Chr`6` : `58,744,020`	0.447	0.553	0.000
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rs117217495 lBF = `16.3591` Chr`9` : `24,538,142`	0.446	0.554	0.000
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rs59355858 lBF = `6.81191` Chr`7` : `29,629,005`	0.446	0.554	0.000
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rs78172408 lBF = `11.9224` Chr`7` : `47,619,869`	0.444	0.555	0.000
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rs479798 lBF = `14.5952` Chr`8` : `29,112,073`	0.444	0.556	0.000
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rs8142548 lBF = `11.8001` Chr`22` : `37,365,039`	0.443	0.557	0.000
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rs34145779 lBF = `7.00229` Chr`13` : `89,636,306`	0.442	0.558	0.000
rs76027185 lBF = `15.5405` Chr`3` : `65,669,218`	0.442	0.558	0.000
rs10511052 lBF = `1.92327` Chr`3` : `76,725,903`	0.441	0.559	0.000
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rs11611673 lBF = `13.5862` Chr`12` : `121,451,150`	0.441	0.559	0.000
rs17200414 lBF = `82.2581` Chr`6` : `31,417,136`	0.441	0.559	0.000
rs12056809 lBF = `5.66393` Chr`8` : `107,927,732`	0.441	0.559	0.000
rs2237896 lBF = `9.57157` Chr`11` : `2,858,440`	0.441	0.559	0.000
rs74934799 lBF = `13.1374` Chr`16` : `75,468,490`	0.440	0.559	0.000
rs10758732 lBF = `11.2727` Chr`9` : `5,991,772`	0.440	0.559	0.000
rs72879350 lBF = `14.0343` Chr`6` : `58,001,218`	0.440	0.560	0.000
rs72821574 lBF = `15.3356` Chr`6` : `10,709,632`	0.440	0.560	0.000
rs16893349 lBF = `16.5225` Chr`8` : `134,207,963`	0.440	0.560	0.000
rs145244554 lBF = `6.78114` Chr`2` : `178,955,022`	0.439	0.560	0.000
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rs66502377 lBF = `5.79886` Chr`8` : `2,294,390`	0.439	0.561	0.000
rs75621054 lBF = `15.8715` Chr`1` : `242,378,718`	0.439	0.561	0.000
Affx-23671264 lBF = `6.33533` Chr`4` : `154,094,220`	0.439	0.561	0.000
rs117422606 lBF = `12.1156` Chr`14` : `40,206,769`	0.439	0.561	0.000
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rs4419219 lBF = `12.9818` Chr`2` : `207,296,780`	0.439	0.561	0.000
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rs77090488 lBF = `26.9855` Chr`14` : `84,959,799`	0.439	0.561	0.000
rs73082331 lBF = `8.96863` Chr`3` : `48,994,943`	0.438	0.561	0.000
rs76090957 lBF = `15.7806` Chr`1` : `237,236,462`	0.438	0.561	0.000
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rs74635668 lBF = `12.4172` Chr`14` : `54,188,200`	0.438	0.561	0.000
rs79331104 lBF = `5.61117` Chr`4` : `22,011,602`	0.438	0.562	0.000
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rs1235153 lBF = `9.04692` Chr`12` : `48,110,325`	0.438	0.562	0.000
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Affx-15339481 lBF = `11.0701` Chr`18` : `6,958,609`	0.438	0.562	0.000
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rs114752366 lBF = `15.9284` Chr`5` : `20,126,254`	0.437	0.563	0.000
rs114849343 lBF = `85.6629` Chr`6` : `31,400,873`	0.437	0.563	0.000
rs117001968 lBF = `10.9969` Chr`20` : `35,486,461`	0.437	0.563	0.000
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rs56890907 lBF = `17.4615` Chr`3` : `196,673,831`	0.437	0.563	0.000
rs149872224 lBF = `17.5873` Chr`10` : `19,786,378`	0.436	0.563	0.000
rs115681000 lBF = `85.9973` Chr`6` : `31,388,386`	0.436	0.564	0.000
rs77378764 lBF = `13.862` Chr`5` : `78,589,856`	0.436	0.564	0.000
rs73211928 lBF = `9.06643` Chr`12` : `118,039,876`	0.436	0.564	0.000
rs116766359 lBF = `84.5183` Chr`6` : `31,407,133`	0.436	0.564	0.000
rs188448092 lBF = `23.8385` Chr`13` : `24,544,751`	0.436	0.564	0.000
rs62007678 lBF = `8.84102` Chr`14` : `103,870,716`	0.436	0.564	0.000
rs295891 lBF = `12.2585` Chr`17` : `35,117,132`	0.436	0.564	0.000
rs9369072 lBF = `12.2512` Chr`6` : `12,081,146`	0.436	0.564	0.000
rs11947645 lBF = `1.43698` Chr`4` : `151,101,672`	0.436	0.564	0.000
rs12136606 lBF = `19.0454` Chr`1` : `15,741,403`	0.435	0.564	0.000
rs7213234 lBF = `7.51298` Chr`17` : `36,980,163`	0.435	0.564	0.000
rs76084488 lBF = `14.8485` Chr`14` : `71,911,727`	0.435	0.565	0.000
rs117303215 lBF = `9.21583` Chr`12` : `129,627,812`	0.435	0.565	0.000
rs115434718 lBF = `86.5377` Chr`6` : `31,398,180`	0.435	0.565	0.000
rs17216525 lBF = `13.7081` Chr`19` : `19,662,220`	0.435	0.565	0.000
rs76721197 lBF = `12.9868` Chr`7` : `106,727,200`	0.434	0.566	0.000
rs13279522 lBF = `1.21249` Chr`8` : `66,974,252`	0.434	0.566	0.000
rs55723035 lBF = `12.5757` Chr`16` : `75,490,145`	0.434	0.566	0.000
rs79944777 lBF = `10.9261` Chr`12` : `73,011,538`	0.434	0.566	0.000
rs76814966 lBF = `14.8473` Chr`1` : `88,617,092`	0.434	0.566	0.000
rs116255593 lBF = `80.2296` Chr`6` : `31,412,447`	0.434	0.566	0.000
rs72636144 lBF = `14.7509` Chr`13` : `89,128,017`	0.434	0.566	0.000
rs71522756 lBF = `14.0585` Chr`8` : `106,746,337`	0.434	0.566	0.000
rs76632111 lBF = `6.34649` Chr`5` : `35,441,720`	0.434	0.566	0.000
rs17200400 lBF = `85.1603` Chr`6` : `31,389,923`	0.434	0.566	0.000
rs11542187 lBF = `16.6935` Chr`19` : `7,992,976`	0.434	0.566	0.000
rs7569074 lBF = `12.5456` Chr`2` : `33,580,954`	0.434	0.566	0.000
rs9918841 lBF = `16.249` Chr`8` : `91,193,959`	0.433	0.566	0.000
rs78119065 lBF = `14.991` Chr`9` : `1,833,972`	0.433	0.566	0.000
rs144892944 lBF = `13.3907` Chr`1` : `239,066,498`	0.433	0.566	0.000
rs17206617 lBF = `84.968` Chr`6` : `31,378,640`	0.433	0.567	0.000
rs17256048 lBF = `12.0162` Chr`11` : `98,607,374`	0.433	0.567	0.000
rs114842164 lBF = `85.3269` Chr`6` : `31,408,137`	0.433	0.567	0.000
rs75626916 lBF = `11.7941` Chr`12` : `108,663,870`	0.433	0.567	0.000
rs17095029 lBF = `13.6715` Chr`14` : `72,140,969`	0.432	0.567	0.000
rs117929870 lBF = `16.9839` Chr`12` : `108,524,849`	0.432	0.567	0.000
rs17219423 lBF = `19.3194` Chr`2` : `208,063,963`	0.432	0.567	0.000
rs78428368 lBF = `24.4407` Chr`4` : `164,617,481`	0.432	0.568	0.000
rs115408371 lBF = `85.6133` Chr`6` : `31,426,248`	0.432	0.568	0.000
rs58542926 lBF = `25.9472` Chr`19` : `19,379,549`	0.432	0.568	0.000
rs9439462 lBF = `12.5813` Chr`1` : `1,462,766`	0.432	0.568	0.000
rs35487354 lBF = `14.9055` Chr`11` : `65,366,882`	0.432	0.568	0.000
rs73001065 lBF = `18.1502` Chr`19` : `19,460,541`	0.432	0.568	0.000
rs77457385 lBF = `15.4395` Chr`15` : `69,979,587`	0.431	0.568	0.000
rs17665650 lBF = `14.1219` Chr`2` : `194,297,468`	0.431	0.568	0.000
rs72981070 lBF = `12.7775` Chr`2` : `141,798,089`	0.431	0.568	0.000
rs2229593 lBF = `12.4833` Chr`3` : `42,906,216`	0.431	0.568	0.000
rs78437391 lBF = `22.4064` Chr`12` : `129,229,615`	0.431	0.568	0.000
rs57450513 lBF = `3.07688` Chr`5` : `141,225,446`	0.431	0.569	0.000
rs78789724 lBF = `20.4177` Chr`2` : `201,459,445`	0.431	0.569	0.000
rs117982023 lBF = `17.0832` Chr`11` : `101,286,673`	0.431	0.569	0.000
rs75683534 lBF = `22.4278` Chr`15` : `65,116,390`	0.431	0.569	0.000
rs17741506 lBF = `13.2067` Chr`19` : `58,458,516`	0.431	0.569	0.000
rs72989948 lBF = `6.41429` Chr`6` : `149,448,694`	0.431	0.569	0.000
rs117891146 lBF = `16.7401` Chr`17` : `77,212,307`	0.431	0.569	0.000
rs78807522 lBF = `10.1919` Chr`3` : `49,056,150`	0.431	0.569	0.000
rs3736995 lBF = `2.66976` Chr`13` : `26,923,565`	0.431	0.569	0.000
rs7726414 lBF = `7.38602` Chr`5` : `133,431,834`	0.431	0.569	0.000
rs72806763 lBF = `12.2275` Chr`5` : `143,010,337`	0.431	0.569	0.000
rs74840523 lBF = `11.5604` Chr`4` : `181,498,044`	0.430	0.569	0.000
rs117914579 lBF = `12.095` Chr`14` : `93,099,890`	0.430	0.569	0.000
rs115827739 lBF = `85.2201` Chr`6` : `31,389,208`	0.430	0.569	0.000
rs78613695 lBF = `14.371` Chr`3` : `140,106,659`	0.430	0.569	0.000
rs12779371 lBF = `7.9231` Chr`10` : `76,256,536`	0.430	0.569	0.000
rs183464 lBF = `15.6759` Chr`6` : `39,073,052`	0.430	0.570	0.000
rs112979036 lBF = `19.8277` Chr`20` : `24,258,641`	0.430	0.570	0.000
rs41270488 lBF = `32.2739` Chr`6` : `32,407,906`	0.430	0.570	0.000
rs75213074 lBF = `1.24058` Chr`17` : `5,612,640`	0.430	0.570	0.000
rs74584624 lBF = `18.2621` Chr`5` : `62,106,216`	0.430	0.570	0.000
rs6755097 lBF = `8.53243` Chr`2` : `196,116,079`	0.430	0.570	0.000
rs11201253 lBF = `20.9492` Chr`10` : `86,588,902`	0.429	0.570	0.000
rs116619302 lBF = `84.8225` Chr`6` : `31,410,274`	0.429	0.570	0.000
rs11985641 lBF = `11.8964` Chr`8` : `2,281,867`	0.429	0.570	0.000
rs4388254 lBF = `6.9552` Chr`5` : `133,428,601`	0.429	0.570	0.000
rs78342332 lBF = `7.79538` Chr`13` : `95,049,165`	0.429	0.570	0.000
rs74595671 lBF = `6.95219` Chr`2` : `159,403,054`	0.429	0.570	0.000
rs76444744 lBF = `4.62118` Chr`2` : `101,705,345`	0.429	0.570	0.000
rs141799618 lBF = `2.03652` Chr`19` : `41,188,078`	0.000	0.570	0.429
rs17237902 lBF = `11.6133` Chr`8` : `104,929,497`	0.429	0.571	0.000
rs116363196 lBF = `73.8343` Chr`6` : `31,405,472`	0.429	0.571	0.000
rs4877801 lBF = `12.8244` Chr`9` : `86,337,432`	0.429	0.571	0.000
rs112247854 lBF = `14.4224` Chr`16` : `7,291,344`	0.429	0.571	0.000
rs10498722 lBF = `18.6526` Chr`6` : `25,186,512`	0.429	0.571	0.000
rs115130140 lBF = `86.1904` Chr`6` : `31,410,537`	0.429	0.571	0.000
rs113177748 lBF = `11.695` Chr`1` : `239,092,298`	0.429	0.571	0.000
rs1548764 lBF = `9.86201` Chr`7` : `71,162,047`	0.429	0.571	0.000
rs73030679 lBF = `10.1305` Chr`3` : `15,937,127`	0.429	0.571	0.000
rs112425727 lBF = `11.6766` Chr`1` : `239,088,889`	0.428	0.571	0.000
rs9970786 lBF = `11.6766` Chr`1` : `239,090,514`	0.428	0.571	0.000
rs72881062 lBF = `15.7439` Chr`6` : `56,801,308`	0.428	0.571	0.000
rs117525990 lBF = `11.468` Chr`10` : `106,848,064`	0.428	0.571	0.000
rs113294279 lBF = `8.41477` Chr`19` : `23,089,268`	0.428	0.571	0.000
rs59251082 lBF = `16.0591` Chr`11` : `132,584,575`	0.428	0.571	0.000
rs11652121 lBF = `15.4813` Chr`17` : `28,532,332`	0.428	0.571	0.000
rs116643857 lBF = `13.6545` Chr`1` : `66,256,127`	0.428	0.572	0.000
rs12199630 lBF = `16.9642` Chr`6` : `63,634,905`	0.428	0.572	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 X0036

log Bayes Factor = 43.2308

contains 4 variants

0.4776

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.3909

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.7123

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.7035

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.6709

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.6563

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.6562

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.6436

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.6290

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.6151

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.6109

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.6058

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.6019

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.6005

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.5993

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.5904

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.5902

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.5865

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.5857

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.5824

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.5811

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.5763

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.5715

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.5715

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.5667

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.5570

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.5557

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.5556

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.5478

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.5447

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.5386

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.5369

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.5369

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.5354

Cluster X0195

log Bayes Factor = 167.337

contains 13 variants

0.5349

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.5347

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.5315

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.5291

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.5285

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.5276

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.5276

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.5191

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.5147

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.5120

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.5119

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.5106

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.5096

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.5094

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.5081

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.5076

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.5074

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.5069

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.5045

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.5041

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.5034

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.5020

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.5016

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.5014

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.4980

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.4969

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.4938

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.4936

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.4932

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.4916

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.4915

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.4907

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.4895

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.4850

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.4849

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.4838

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.4829

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.4815

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.4807

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.4733

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.4719

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.4678

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.4635

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.4597

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.4596

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.4556

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.4540

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.4512

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.4494

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.4445

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.4417

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.4348

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.4274

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.4254

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.4182

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.4161

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.4129

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.4080

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.4074

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.4061

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.4033

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.3934

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.3911

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.3907

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.3905

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.3834

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.3699

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.3595

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.3573

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.3564

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.3508

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.3449

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.3430

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.3378

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.3294

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.3242

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.3212

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.3205

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.3200

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.3183

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.3159

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.3156

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.3110

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.3092

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.3052

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.3029

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.3018

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.2979

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.2962

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.2927

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.2913

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.2895

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.2889

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.2859

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.2785

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.2768

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.2742

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.2718

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.2680

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.2594

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.2550

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.2536

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.2519

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.2516

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.2469

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.2396

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.2259

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.2204

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.2193

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.2167

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.2111

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.2044

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.2041

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.2008

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.1980

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.1964

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.1927

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.1885

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.1850

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.1806

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.1761

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.1740

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.1724

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.1682

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.1679

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.1654

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.1599

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.1540

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.1536

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.1480

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.1448

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.1372

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.1355

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.1323

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.1321

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.1283

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.1243

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.1173

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.1035

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.0964

Cluster X0160

log Bayes Factor = 99.5328

contains 9 variants

0.0902

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.0898

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.0826

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.0804

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.0744

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.0712

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.0704

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.0685

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.0537

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.0529

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`)