TreeWAS – [Z35.8] Supervision of other high-risk pregnancies

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
rs2134039 lBF = `6.11532` Chr`12` : `101,928,424`	0.892	0.108	0.000
rs10027113 lBF = `6.46507` Chr`4` : `9,445,873`	0.791	0.209	0.000
rs958444 lBF = `7.97902` Chr`5` : `155,405,405`	0.788	0.212	0.000
rs12460850 lBF = `7.93312` Chr`19` : `4,742,238`	0.785	0.215	0.000
rs76662872 lBF = `8.28126` Chr`9` : `78,995,731`	0.777	0.223	0.000
rs75593565 lBF = `13.6234` Chr`12` : `32,115,266`	0.774	0.226	0.000
rs116983056 lBF = `21.567` Chr`20` : `36,880,899`	0.751	0.249	0.000
rs6755097 lBF = `8.53243` Chr`2` : `196,116,079`	0.745	0.255	0.000
rs6576557 lBF = `17.711` Chr`15` : `26,540,811`	0.744	0.256	0.000
rs3732064 lBF = `17.419` Chr`2` : `65,074,357`	0.733	0.266	0.000
rs74320203 lBF = `11.4376` Chr`1` : `20,921,903`	0.732	0.268	0.000
rs704080 lBF = `11.6648` Chr`12` : `89,749,223`	0.731	0.269	0.000
rs17242346 lBF = `9.05282` Chr`19` : `11,198,780`	0.728	0.272	0.000
rs73198922 lBF = `7.10026` Chr`8` : `10,958,663`	0.726	0.274	0.000
rs79635565 lBF = `14.2779` Chr`3` : `42,538,627`	0.720	0.280	0.000
rs12037379 lBF = `11.2434` Chr`1` : `20,959,746`	0.714	0.286	0.000
rs2249031 lBF = `7.12134` Chr`11` : `105,800,066`	0.700	0.300	0.000
rs114080907 lBF = `15.1857` Chr`1` : `21,077,245`	0.695	0.305	0.000
rs8127967 lBF = `12.6191` Chr`21` : `21,763,036`	0.694	0.306	0.000
rs35426951 lBF = `19.3875` Chr`4` : `4,566,274`	0.694	0.306	0.000
rs62237594 lBF = `13.6107` Chr`21` : `41,465,664`	0.692	0.308	0.000
rs12308914 lBF = `12.8877` Chr`12` : `104,633,842`	0.691	0.309	0.000
rs75334015 lBF = `17.4139` Chr`15` : `40,551,636`	0.691	0.309	0.000
rs114089901 lBF = `24.7301` Chr`2` : `97,528,099`	0.690	0.310	0.000
rs62387661 lBF = `9.25318` Chr`6` : `16,084,392`	0.686	0.314	0.000
rs1178422 lBF = `6.83318` Chr`17` : `5,863,924`	0.686	0.314	0.000
rs76335573 lBF = `12.4927` Chr`1` : `107,687,605`	0.684	0.316	0.000
rs56281909 lBF = `11.3432` Chr`9` : `4,418,821`	0.682	0.318	0.000
rs113197211 lBF = `21.1599` Chr`10` : `134,615,280`	0.677	0.323	0.000
rs80029792 lBF = `24.0731` Chr`8` : `134,781,276`	0.676	0.323	0.000
rs113373865 lBF = `13.4513` Chr`8` : `67,091,991`	0.670	0.330	0.000
rs77427150 lBF = `13.5234` Chr`9` : `101,239,130`	0.669	0.331	0.000
rs117508732 lBF = `10.2984` Chr`15` : `67,824,170`	0.666	0.334	0.000
rs73387635 lBF = `15.4845` Chr`9` : `1,814,698`	0.663	0.337	0.000
rs12790383 lBF = `9.27946` Chr`11` : `75,708,521`	0.661	0.339	0.000
rs115705830 lBF = `15.1446` Chr`1` : `160,790,249`	0.661	0.339	0.000
rs112673116 lBF = `15.2275` Chr`2` : `171,242,804`	0.659	0.341	0.000
rs117101324 lBF = `10.7221` Chr`14` : `76,851,865`	0.658	0.342	0.000
rs1869717 lBF = `14.9172` Chr`4` : `140,751,121`	0.657	0.343	0.000
rs118056006 lBF = `8.25296` Chr`15` : `60,087,231`	0.655	0.345	0.000
rs188448092 lBF = `23.8385` Chr`13` : `24,544,751`	0.653	0.347	0.000
rs116044577 lBF = `12.8773` Chr`3` : `173,023,621`	0.653	0.347	0.000
rs73009507 lBF = `20.7347` Chr`19` : `10,961,024`	0.650	0.349	0.000
rs3731189 lBF = `12.1962` Chr`3` : `14,186,238`	0.650	0.350	0.000
rs143813799 lBF = `18.0084` Chr`17` : `60,023,795`	0.650	0.350	0.000
rs72687965 lBF = `17.5275` Chr`1` : `114,073,152`	0.649	0.351	0.000
rs72756269 lBF = `20.6952` Chr`9` : `119,147,710`	0.648	0.351	0.000
rs10514317 lBF = `0.928736` Chr`5` : `89,109,750`	0.000	0.353	0.647
rs75193007 lBF = `15.0928` Chr`13` : `109,470,040`	0.645	0.355	0.000
rs12409334 lBF = `13.2966` Chr`1` : `206,718,142`	0.644	0.356	0.000
rs61754763 lBF = `16.2187` Chr`20` : `5,966,763`	0.644	0.356	0.000
rs117242132 lBF = `21.0067` Chr`18` : `45,672,152`	0.641	0.359	0.000
rs117863381 lBF = `15.4135` Chr`9` : `82,517,509`	0.640	0.359	0.000
rs141216273 lBF = `13.268` Chr`2` : `25,599,172`	0.640	0.360	0.000
rs7275460 lBF = `9.35732` Chr`21` : `41,447,058`	0.640	0.360	0.000
rs72730448 lBF = `14.5786` Chr`1` : `93,533,524`	0.637	0.363	0.000
rs1596724 lBF = `2.76067` Chr`4` : `32,555,853`	0.636	0.364	0.000
rs76780915 lBF = `23.1888` Chr`7` : `145,876,658`	0.634	0.366	0.000
rs11542187 lBF = `16.6935` Chr`19` : `7,992,976`	0.633	0.367	0.000
rs74566133 lBF = `21.6776` Chr`8` : `134,778,342`	0.632	0.368	0.000
rs118155463 lBF = `21.1268` Chr`17` : `8,079,842`	0.631	0.369	0.000
rs111583008 lBF = `14.8938` Chr`20` : `5,951,050`	0.631	0.369	0.000
rs117822702 lBF = `13.8577` Chr`14` : `60,403,097`	0.629	0.371	0.000
rs114257644 lBF = `11.5193` Chr`4` : `164,616,687`	0.628	0.372	0.000
rs147318337 lBF = `20.2563` Chr`4` : `159,789,403`	0.628	0.372	0.000
rs75626916 lBF = `11.7941` Chr`12` : `108,663,870`	0.628	0.372	0.000
rs79858930 lBF = `31.6188` Chr`10` : `83,047,434`	0.627	0.373	0.000
rs149636167 lBF = `15.5188` Chr`2` : `65,216,817`	0.626	0.374	0.000
rs17758321 lBF = `11.5799` Chr`14` : `79,928,225`	0.626	0.374	0.000
rs75038438 lBF = `18.8448` Chr`14` : `60,996,166`	0.625	0.375	0.000
rs116769767 lBF = `14.8117` Chr`3` : `79,651,529`	0.625	0.375	0.000
rs139338093 lBF = `17.683` Chr`16` : `84,778,766`	0.624	0.376	0.000
rs17088434 lBF = `21.3351` Chr`18` : `71,513,365`	0.623	0.377	0.000
rs72687906 lBF = `23.6881` Chr`1` : `113,922,269`	0.623	0.377	0.000
rs114622739 lBF = `3.20296` Chr`4` : `78,896,548`	0.623	0.377	0.000
rs16999204 lBF = `7.39147` Chr`21` : `41,416,066`	0.622	0.378	0.000
rs1326862 lBF = `13.0902` Chr`20` : `52,198,967`	0.620	0.380	0.000
rs2856656 lBF = `26.2331` Chr`11` : `47,373,425`	0.619	0.381	0.000
rs72687020 lBF = `14.6249` Chr`14` : `44,923,657`	0.618	0.382	0.000
rs115073616 lBF = `21.2519` Chr`2` : `22,668,759`	0.617	0.383	0.000
rs11001678 lBF = `14.7621` Chr`10` : `77,955,610`	0.615	0.384	0.000
rs115054975 lBF = `18.9742` Chr`5` : `121,620,784`	0.614	0.386	0.000
rs6949211 lBF = `15.3048` Chr`7` : `11,231,071`	0.612	0.388	0.000
rs117630467 lBF = `16.4687` Chr`20` : `13,475,327`	0.609	0.391	0.000
rs116079955 lBF = `12.0849` Chr`5` : `127,696,604`	0.608	0.392	0.000
rs35303200 lBF = `18.3789` Chr`9` : `82,740,305`	0.607	0.392	0.000
rs10022787 lBF = `8.05101` Chr`4` : `56,521,889`	0.607	0.393	0.000
rs115811434 lBF = `12.939` Chr`4` : `82,956,773`	0.607	0.393	0.000
rs115457615 lBF = `15.9194` Chr`2` : `168,583,240`	0.605	0.395	0.000
rs73302752 lBF = `21.6628` Chr`8` : `73,279,185`	0.604	0.395	0.000
rs11218343 lBF = `9.21158` Chr`11` : `121,435,587`	0.603	0.397	0.000
rs17256048 lBF = `12.0162` Chr`11` : `98,607,374`	0.602	0.398	0.000
rs55684811 lBF = `13.4343` Chr`10` : `7,041,621`	0.601	0.398	0.000
rs9355061 lBF = `16.4691` Chr`6` : `168,670,236`	0.601	0.399	0.000
rs78990647 lBF = `15.3465` Chr`2` : `236,837,582`	0.601	0.399	0.000
rs75493593 lBF = `2.71768` Chr`17` : `6,945,087`	0.599	0.400	0.000
rs75531736 lBF = `11.9899` Chr`6` : `18,642,745`	0.598	0.402	0.000
rs75418188 lBF = `2.82841` Chr`17` : `6,945,483`	0.597	0.403	0.000
rs78058190 lBF = `10.0519` Chr`2` : `219,699,999`	0.597	0.403	0.000
rs73147826 lBF = `14.8932` Chr`3` : `116,659,269`	0.597	0.403	0.000
rs77169098 lBF = `26.0362` Chr`2` : `97,638,495`	0.596	0.404	0.000
rs4698169 lBF = `4.23782` Chr`4` : `17,135,343`	0.595	0.405	0.000
rs17269740 lBF = `11.1226` Chr`15` : `59,998,058`	0.595	0.405	0.000
rs73271426 lBF = `11.5943` Chr`7` : `13,645,098`	0.595	0.405	0.000
rs34634894 lBF = `20.2004` Chr`9` : `82,652,022`	0.593	0.406	0.000
rs12613387 lBF = `11.81` Chr`2` : `199,699,922`	0.592	0.408	0.000
rs75513936 lBF = `11.7791` Chr`6` : `22,469,034`	0.592	0.408	0.000
rs73154143 lBF = `22.4344` Chr`22` : `26,354,531`	0.591	0.409	0.000
rs12478336 lBF = `13.7791` Chr`2` : `172,046,582`	0.590	0.410	0.000
rs116564764 lBF = `16.14` Chr`3` : `162,298,640`	0.590	0.410	0.000
rs75024436 lBF = `14.4606` Chr`3` : `50,046,446`	0.588	0.411	0.000
rs117492744 lBF = `13.2788` Chr`12` : `29,747,631`	0.586	0.414	0.000
rs114414817 lBF = `16.8696` Chr`5` : `144,809,230`	0.585	0.415	0.000
rs41314453 lBF = `10.1695` Chr`9` : `136,307,825`	0.585	0.415	0.000
rs72841201 lBF = `12.2145` Chr`5` : `169,287,285`	0.584	0.416	0.000
rs77296444 lBF = `6.82713` Chr`5` : `116,055,432`	0.583	0.417	0.000
rs77911647 lBF = `25.709` Chr`9` : `37,580,543`	0.582	0.418	0.000
rs72731844 lBF = `8.46443` Chr`4` : `147,555,879`	0.581	0.419	0.000
rs34457396 lBF = `18.3682` Chr`19` : `10,752,352`	0.580	0.420	0.000
rs112469508 lBF = `15.1969` Chr`7` : `153,176,649`	0.580	0.420	0.000
rs13134917 lBF = `18.2629` Chr`4` : `158,640,682`	0.579	0.420	0.000
rs78547629 lBF = `16.0951` Chr`7` : `145,920,329`	0.579	0.420	0.000
rs12539417 lBF = `18.0477` Chr`7` : `135,720,705`	0.579	0.421	0.000
rs115326449 lBF = `19.0223` Chr`6` : `63,544,853`	0.579	0.421	0.000
rs73180559 lBF = `24.7935` Chr`7` : `82,760,550`	0.578	0.422	0.000
rs77701960 lBF = `10.9141` Chr`15` : `82,075,642`	0.578	0.422	0.000
rs9959639 lBF = `10.7013` Chr`18` : `71,891,450`	0.578	0.422	0.000
rs142030651 lBF = `17.2897` Chr`22` : `41,513,727`	0.577	0.422	0.000
rs74729480 lBF = `14.6486` Chr`9` : `137,375,254`	0.577	0.422	0.000
rs117605016 lBF = `28.0976` Chr`12` : `129,614,385`	0.577	0.423	0.000
rs35921408 lBF = `30.4918` Chr`1` : `184,029,795`	0.576	0.423	0.000
rs117399377 lBF = `18.9887` Chr`6` : `91,609,303`	0.576	0.424	0.000
rs112088213 lBF = `13.0401` Chr`10` : `134,611,681`	0.576	0.424	0.000
rs62070016 lBF = `9.95585` Chr`17` : `9,170,659`	0.575	0.424	0.000
rs79110379 lBF = `23.2625` Chr`4` : `158,586,316`	0.575	0.425	0.000
rs73167621 lBF = `14.0409` Chr`3` : `162,484,638`	0.574	0.426	0.000
rs75894238 lBF = `25.5492` Chr`6` : `10,128,350`	0.574	0.426	0.000
rs117466338 lBF = `32.7518` Chr`20` : `56,233,845`	0.574	0.426	0.000
rs75056204 lBF = `8.7084` Chr`9` : `76,174,850`	0.573	0.427	0.000
rs118137384 lBF = `25.456` Chr`20` : `9,532,957`	0.571	0.429	0.000
rs78755503 lBF = `26.9163` Chr`5` : `115,756,616`	0.570	0.430	0.000
rs111863112 lBF = `18.891` Chr`3` : `46,449,863`	0.570	0.430	0.000
rs114495629 lBF = `14.5035` Chr`1` : `245,701,098`	0.570	0.430	0.000
rs114496068 lBF = `15.6666` Chr`6` : `49,705,603`	0.569	0.430	0.000
rs75417855 lBF = `21.8115` Chr`8` : `8,966,147`	0.569	0.431	0.000
rs75047119 lBF = `40.63` Chr`13` : `110,888,139`	0.568	0.431	0.000
rs1799963 lBF = `43.419` Chr`11` : `46,761,055`	0.568	0.432	0.000
rs17244432 lBF = `15.3075` Chr`9` : `139,801,662`	0.567	0.433	0.000
rs117413168 lBF = `15.6145` Chr`6` : `126,759,473`	0.566	0.434	0.000
rs80076601 lBF = `13.5975` Chr`20` : `24,148,686`	0.566	0.434	0.000
rs73045775 lBF = `23.3857` Chr`12` : `8,674,905`	0.565	0.435	0.000
rs10690822 lBF = `15.0738` Chr`14` : `24,646,406`	0.565	0.435	0.000
rs12136606 lBF = `19.0454` Chr`1` : `15,741,403`	0.565	0.435	0.000
rs56227635 lBF = `17.231` Chr`2` : `128,259,423`	0.564	0.436	0.000
rs77441939 lBF = `14.762` Chr`19` : `13,479,999`	0.563	0.437	0.000
rs17196989 lBF = `17.1778` Chr`6` : `31,113,703`	0.563	0.437	0.000
rs7871607 lBF = `24.204` Chr`9` : `85,546,352`	0.563	0.437	0.000
rs77821460 lBF = `20.1742` Chr`12` : `20,274,936`	0.563	0.437	0.000
rs114707893 lBF = `16.0863` Chr`2` : `97,566,051`	0.562	0.438	0.000
rs76309893 lBF = `21.1949` Chr`16` : `13,228,713`	0.562	0.438	0.000
rs78516619 lBF = `61.5791` Chr`1` : `168,889,373`	0.562	0.438	0.000
rs16976171 lBF = `1.75054` Chr`18` : `40,059,621`	0.561	0.438	0.000
rs113153761 lBF = `6.16497` Chr`2` : `127,727,764`	0.560	0.439	0.000
rs117259901 lBF = `14.326` Chr`20` : `14,679,824`	0.560	0.440	0.000
rs116940284 lBF = `11.3342` Chr`11` : `63,333,643`	0.560	0.440	0.000
rs117263911 lBF = `16.7712` Chr`14` : `30,929,126`	0.558	0.442	0.000
rs17580163 lBF = `15.9895` Chr`4` : `58,140,073`	0.557	0.443	0.000
rs77759352 lBF = `23.6884` Chr`18` : `19,521,256`	0.556	0.444	0.000
rs73090154 lBF = `1.70548` Chr`3` : `59,280,504`	0.556	0.444	0.000
rs37603 lBF = `9.49661` Chr`16` : `75,505,567`	0.555	0.445	0.000
rs72858498 lBF = `17.8755` Chr`2` : `145,211,738`	0.554	0.446	0.000
rs16928280 lBF = `6.01786` Chr`9` : `8,695,233`	0.552	0.448	0.000
rs117669821 lBF = `20.5156` Chr`14` : `88,258,889`	0.552	0.448	0.000
rs9617470 lBF = `17.1626` Chr`22` : `49,210,125`	0.551	0.449	0.000
rs116910478 lBF = `15.3435` Chr`7` : `89,932,032`	0.551	0.449	0.000
rs62231188 lBF = `17.7829` Chr`22` : `24,984,215`	0.551	0.449	0.000
rs80054318 lBF = `14.188` Chr`8` : `50,129,604`	0.550	0.450	0.000
rs35836525 lBF = `18.108` Chr`2` : `97,601,693`	0.550	0.450	0.000
rs117174279 lBF = `17.9206` Chr`20` : `56,213,350`	0.549	0.451	0.000
rs56113960 lBF = `17.1557` Chr`22` : `21,355,501`	0.547	0.452	0.000
rs115281334 lBF = `15.0554` Chr`4` : `78,595,878`	0.546	0.454	0.000
rs78593318 lBF = `12.9921` Chr`9` : `2,491,638`	0.546	0.454	0.000
rs11811132 lBF = `14.4138` Chr`1` : `34,352,741`	0.545	0.455	0.000
rs118048884 lBF = `19.0883` Chr`10` : `132,406,347`	0.544	0.455	0.000
rs117010525 lBF = `14.7473` Chr`17` : `46,605,689`	0.543	0.456	0.000
rs77809575 lBF = `25.0612` Chr`5` : `95,206,522`	0.543	0.457	0.000
rs10515552 lBF = `7.77092` Chr`5` : `145,038,831`	0.543	0.457	0.000
rs1441759 lBF = `22.8185` Chr`8` : `19,865,563`	0.542	0.458	0.000
rs75033941 lBF = `14.4098` Chr`7` : `15,616,587`	0.541	0.459	0.000
rs6855671 lBF = `12.9481` Chr`4` : `114,502,911`	0.541	0.459	0.000
rs77745943 lBF = `12.1624` Chr`9` : `99,034,907`	0.540	0.460	0.000
rs4149433 lBF = `9.85629` Chr`2` : `108,997,262`	0.540	0.460	0.000
rs116821480 lBF = `12.384` Chr`2` : `165,547,969`	0.539	0.461	0.000
rs115020061 lBF = `13.9152` Chr`3` : `13,548,716`	0.539	0.461	0.000
rs62341268 lBF = `11.7208` Chr`4` : `190,224,770`	0.539	0.461	0.000
rs59218290 lBF = `15.3723` Chr`11` : `131,807,633`	0.537	0.463	0.000
rs78613695 lBF = `14.371` Chr`3` : `140,106,659`	0.537	0.463	0.000
rs116660070 lBF = `17.3726` Chr`3` : `19,939,758`	0.536	0.463	0.000
rs117304354 lBF = `24.3339` Chr`20` : `51,221,332`	0.536	0.464	0.000
rs78376112 lBF = `16.3379` Chr`10` : `134,761,067`	0.536	0.464	0.000
rs116066300 lBF = `16.0918` Chr`6` : `22,877,032`	0.535	0.465	0.000
rs114262607 lBF = `31.3906` Chr`1` : `102,915,381`	0.535	0.465	0.000
rs75435968 lBF = `11.9878` Chr`7` : `137,152,383`	0.535	0.465	0.000
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rs72875818 lBF = `15.9254` Chr`6` : `62,043,183`	0.468	0.532	0.000
rs7299341 lBF = `5.99167` Chr`12` : `83,224,324`	0.467	0.533	0.000
rs149872224 lBF = `17.5873` Chr`10` : `19,786,378`	0.467	0.533	0.000
rs74669452 lBF = `14.43` Chr`2` : `234,623,898`	0.467	0.533	0.000
rs117520190 lBF = `16.2172` Chr`9` : `98,903,902`	0.466	0.534	0.000
rs116493700 lBF = `2.86878` Chr`1` : `211,738,467`	0.466	0.534	0.000
rs74961451 lBF = `12.6422` Chr`1` : `59,608,141`	0.466	0.534	0.000
rs78766240 lBF = `19.5029` Chr`3` : `12,067,966`	0.466	0.534	0.000
rs73167108 lBF = `11.234` Chr`3` : `166,673,121`	0.466	0.534	0.000
rs116254114 lBF = `9.25391` Chr`14` : `21,228,586`	0.465	0.535	0.000
rs144700679 lBF = `7.09223` Chr`12` : `115,468,959`	0.465	0.535	0.000
rs113984483 lBF = `13.9687` Chr`2` : `35,302,577`	0.464	0.535	0.000
rs72824489 lBF = `21.2308` Chr`10` : `98,525,587`	0.464	0.536	0.000
rs78825320 lBF = `12.1904` Chr`20` : `48,694,630`	0.464	0.536	0.000
rs77205825 lBF = `25.6929` Chr`8` : `140,470,489`	0.463	0.537	0.000
rs116841826 lBF = `21.5796` Chr`7` : `150,543,427`	0.463	0.537	0.000
rs62057608 lBF = `5.08013` Chr`16` : `34,682,193`	0.462	0.537	0.000
rs4714669 lBF = `12.884` Chr`6` : `43,122,369`	0.462	0.537	0.000
rs36221133 lBF = `14.4427` Chr`6` : `31,912,523`	0.462	0.538	0.000
rs74754122 lBF = `23.2295` Chr`6` : `145,961,790`	0.462	0.538	0.000
rs200831400 lBF = `23.4136` Chr`5` : `157,236,596`	0.462	0.538	0.000
rs77817374 lBF = `19.5179` Chr`3` : `185,841,654`	0.462	0.538	0.000
rs11992011 lBF = `14.5451` Chr`8` : `4,263,916`	0.462	0.538	0.000
rs78882373 lBF = `14.656` Chr`2` : `150,846,305`	0.462	0.538	0.000
rs62471875 lBF = `16.6264` Chr`7` : `154,778,171`	0.461	0.538	0.000
rs3750718 lBF = `10.9739` Chr`10` : `101,835,508`	0.461	0.538	0.000
rs57450513 lBF = `3.07688` Chr`5` : `141,225,446`	0.461	0.538	0.000
rs76338037 lBF = `17.1925` Chr`5` : `18,496,375`	0.461	0.539	0.000
rs73130739 lBF = `7.84824` Chr`3` : `85,287,296`	0.461	0.539	0.000
rs34218224 lBF = `7.72324` Chr`2` : `86,329,987`	0.461	0.539	0.000
rs6949729 lBF = `14.7152` Chr`7` : `141,362,431`	0.461	0.539	0.000
rs118166304 lBF = `25.1727` Chr`17` : `48,951,566`	0.461	0.539	0.000
rs2051457 lBF = `9.37521` Chr`11` : `21,677,342`	0.460	0.539	0.000
rs114478677 lBF = `24.4689` Chr`4` : `109,941,043`	0.460	0.539	0.000
rs17806606 lBF = `13.7652` Chr`6` : `111,381,063`	0.460	0.540	0.000
rs786807 lBF = `14.0508` Chr`10` : `48,636,891`	0.460	0.540	0.000
rs118124984 lBF = `22.9554` Chr`8` : `106,184,779`	0.459	0.540	0.000
rs7192981 lBF = `9.18729` Chr`16` : `75,339,131`	0.459	0.540	0.000
rs11847149 lBF = `9.29364` Chr`14` : `80,067,828`	0.459	0.541	0.000
rs143772911 lBF = `15.6337` Chr`1` : `226,095,237`	0.459	0.541	0.000
rs9918841 lBF = `16.249` Chr`8` : `91,193,959`	0.458	0.542	0.000
rs115706318 lBF = `11.1749` Chr`2` : `97,143,761`	0.458	0.542	0.000
rs79167034 lBF = `28.2481` Chr`11` : `46,814,844`	0.458	0.542	0.000
rs75018213 lBF = `22.9297` Chr`6` : `146,052,178`	0.458	0.542	0.000
rs72722108 lBF = `19.2492` Chr`1` : `95,589,180`	0.457	0.542	0.000
rs117940740 lBF = `11.288` Chr`6` : `118,825,260`	0.457	0.543	0.000
rs72696757 lBF = `13.7503` Chr`1` : `112,707,919`	0.457	0.543	0.000
rs187353341 lBF = `19.0434` Chr`12` : `121,557,376`	0.456	0.544	0.000
rs72845883 lBF = `14.3782` Chr`17` : `61,658,297`	0.455	0.544	0.000
rs73116718 lBF = `18.3781` Chr`3` : `78,952,189`	0.455	0.545	0.000
rs62574559 lBF = `13.3756` Chr`9` : `96,366,133`	0.455	0.545	0.000
rs117593613 lBF = `20.9111` Chr`14` : `88,296,569`	0.455	0.545	0.000
rs2404916 lBF = `0.668989` Chr`4` : `154,995,463`	0.000	0.545	0.454
rs118053264 lBF = `15.1239` Chr`8` : `19,356,779`	0.454	0.546	0.000
rs17446324 lBF = `2.09498` Chr`7` : `83,157,804`	0.454	0.546	0.000
rs116431701 lBF = `16.2425` Chr`7` : `151,413,973`	0.454	0.546	0.000
rs77457385 lBF = `15.4395` Chr`15` : `69,979,587`	0.454	0.546	0.000
rs9846232 lBF = `0.991521` Chr`3` : `13,743,132`	0.454	0.546	0.000
rs115818338 lBF = `12.7588` Chr`5` : `151,963,928`	0.454	0.546	0.000
rs2517456 lBF = `17.2828` Chr`6` : `31,059,825`	0.454	0.546	0.000
rs116561927 lBF = `21.8507` Chr`2` : `221,679,348`	0.453	0.547	0.000
rs115048639 lBF = `21.1292` Chr`6` : `30,991,404`	0.453	0.547	0.000
rs117531883 lBF = `20.9443` Chr`8` : `8,309,054`	0.453	0.547	0.000
rs118175001 lBF = `26.7437` Chr`16` : `72,724,630`	0.453	0.547	0.000
rs72655652 lBF = `20.5631` Chr`15` : `92,647,684`	0.453	0.547	0.000
rs61319746 lBF = `16.9132` Chr`5` : `43,845,213`	0.453	0.547	0.000
rs116716590 lBF = `15.2227` Chr`1` : `230,953,151`	0.453	0.547	0.000
rs77006161 lBF = `19.5553` Chr`11` : `81,998,848`	0.452	0.547	0.000
rs76220472 lBF = `17.6069` Chr`11` : `110,980,678`	0.452	0.548	0.000
rs2417373 lBF = `14.5305` Chr`12` : `14,744,468`	0.452	0.548	0.000
rs17690804 lBF = `12.2799` Chr`14` : `88,711,855`	0.452	0.548	0.000
rs12000567 lBF = `4.07403` Chr`9` : `789,499`	0.452	0.548	0.000
rs79638442 lBF = `13.2792` Chr`5` : `66,180,409`	0.451	0.548	0.000
rs77795656 lBF = `18.6094` Chr`2` : `227,058,243`	0.451	0.549	0.000
rs17433526 lBF = `9.94738` Chr`9` : `131,912,341`	0.000	0.549	0.451
rs73030679 lBF = `10.1305` Chr`3` : `15,937,127`	0.451	0.549	0.000
rs72686452 lBF = `15.5869` Chr`4` : `98,830,563`	0.450	0.550	0.000
rs117029977 lBF = `13.3216` Chr`13` : `35,438,988`	0.450	0.550	0.000
rs16966085 lBF = `5.66056` Chr`13` : `105,835,170`	0.450	0.550	0.000
rs78227251 lBF = `17.4957` Chr`2` : `88,977,848`	0.450	0.550	0.000
rs13320408 lBF = `12.2803` Chr`3` : `95,441,862`	0.450	0.550	0.000
rs73125111 lBF = `7.02008` Chr`3` : `85,110,971`	0.450	0.550	0.000
rs77052769 lBF = `10.5998` Chr`7` : `152,982,114`	0.450	0.550	0.000
rs143954261 lBF = `3.1342` Chr`5` : `126,729,450`	0.449	0.550	0.000
rs73141422 lBF = `22.399` Chr`12` : `83,882,469`	0.449	0.551	0.000
rs116740811 lBF = `5.20808` Chr`3` : `76,718,625`	0.449	0.551	0.000
rs76601328 lBF = `15.0502` Chr`5` : `71,077,144`	0.449	0.551	0.000
rs11697196 lBF = `24.5155` Chr`20` : `42,717,172`	0.448	0.552	0.000
rs73556638 lBF = `15.5477` Chr`9` : `139,034,164`	0.447	0.552	0.000
rs58563355 lBF = `20.9719` Chr`16` : `1,199,938`	0.447	0.553	0.000
rs79948109 lBF = `15.0854` Chr`5` : `43,075,830`	0.447	0.553	0.000
rs116986691 lBF = `22.3468` Chr`10` : `87,698,378`	0.447	0.553	0.000
rs9992080 lBF = `14.3311` Chr`4` : `154,832,776`	0.447	0.553	0.000
rs139429326 lBF = `11.6781` Chr`6` : `110,946,339`	0.447	0.553	0.000
rs75722873 lBF = `14.839` Chr`4` : `14,811,981`	0.446	0.553	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 X0335

log Bayes Factor = 12.3689

contains 1 variants

0.2113

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.0831

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.0773

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0195

log Bayes Factor = 167.337

contains 13 variants

0.9979

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.9973

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.9772

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.9575

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9409

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9347

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.9311

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.9181

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.9033

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.8952

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.8782

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.8768

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.8733

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.8666

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.8663

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.8551

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.8543

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.8542

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.8432

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.8360

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.8308

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.8296

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.8234

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.8119

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.8097

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.8084

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.8049

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.7788

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.7776

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.7749

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.7733

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.7579

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.7533

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.7522

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.7512

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.7501

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.7427

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.7299

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.7285

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.7263

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.7169

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7155

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.7155

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.7149

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.7134

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.7131

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.7126

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.7096

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7096

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.7091

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7080

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.7078

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.7055

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.7009

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.7001

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.6982

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.6968

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.6913

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.6885

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.6872

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.6868

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.6856

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.6836

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.6806

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.6793

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.6755

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.6701

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.6653

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.6634

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.6539

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.6502

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.6387

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.6377

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.6329

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.6327

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.6320

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.6296

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.6207

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.6114

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.5991

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.5974

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.5867

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.5853

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.5775

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.5733

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.5657

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.5595

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.5551

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.5503

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.5491

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.5195

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.5148

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.5006

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.4954

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.4772

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.4736

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.4712

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.4682

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.4637

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.4245

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.4092

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.3971

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.3743

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.3685

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.3440

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.3391

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.3332

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.3117

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.3071

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.3061

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.3060

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.2968

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.2668

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.2612

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.2564

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.2437

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.2250

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.2242

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.2185

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.2173

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.2123

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.2121

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.2118

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.2089

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.2089

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.2061

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.2044

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.2019

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.1890

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.1835

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.1647

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.1639

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.1595

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.1534

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.1466

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.1459

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.1391

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.1364

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.1336

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.1212

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.1178

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.1062

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.0859

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.0852

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.0682

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.0602

Cluster X0328

log Bayes Factor = 380.087

contains 8 variants

0.0551

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.0539

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.0536

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`)