TreeWAS – [O36] Maternal care for other known or suspected foetal problems

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
rs78882373 lBF = `14.656` Chr`2` : `150,846,305`	0.982	0.018	0.000
rs72920755 lBF = `9.73099` Chr`2` : `55,993,809`	0.979	0.021	0.000
rs17219423 lBF = `19.3194` Chr`2` : `208,063,963`	0.955	0.045	0.000
rs113153761 lBF = `6.16497` Chr`2` : `127,727,764`	0.953	0.047	0.000
rs12478336 lBF = `13.7791` Chr`2` : `172,046,582`	0.940	0.060	0.000
rs116447103 lBF = `10.8199` Chr`2` : `86,545,425`	0.934	0.066	0.000
rs34218224 lBF = `7.72324` Chr`2` : `86,329,987`	0.907	0.093	0.000
rs112673116 lBF = `15.2275` Chr`2` : `171,242,804`	0.901	0.099	0.000
rs71435583 lBF = `11.0177` Chr`2` : `20,924,244`	0.895	0.105	0.000
rs62182123 lBF = `11.1039` Chr`2` : `219,262,887`	0.875	0.125	0.000
rs116332762 lBF = `17.3941` Chr`2` : `108,184,621`	0.871	0.129	0.000
rs6435999 lBF = `1.74683` Chr`2` : `218,523,162`	0.870	0.130	0.000
rs56227635 lBF = `17.231` Chr`2` : `128,259,423`	0.863	0.137	0.000
rs76361614 lBF = `22.0553` Chr`2` : `37,527,216`	0.861	0.139	0.000
rs75867155 lBF = `6.99353` Chr`2` : `8,029,114`	0.861	0.139	0.000
rs114423144 lBF = `13.6872` Chr`2` : `119,230,855`	0.858	0.142	0.000
rs3827760 lBF = `5.71339` Chr`2` : `109,513,601`	0.850	0.150	0.000
rs13387838 lBF = `11.2378` Chr`2` : `207,281,447`	0.836	0.164	0.000
rs116561927 lBF = `21.8507` Chr`2` : `221,679,348`	0.835	0.165	0.000
rs116245640 lBF = `16.5949` Chr`2` : `194,726,307`	0.819	0.181	0.000
rs111899708 lBF = `3.65736` Chr`2` : `156,051,135`	0.813	0.187	0.000
rs4149433 lBF = `9.85629` Chr`2` : `108,997,262`	0.806	0.194	0.000
rs4419219 lBF = `12.9818` Chr`2` : `207,296,780`	0.799	0.201	0.000
rs7605378 lBF = `2.57393` Chr`2` : `200,676,926`	0.796	0.204	0.000
rs115511239 lBF = `13.3518` Chr`2` : `220,981,981`	0.792	0.208	0.000
rs116839510 lBF = `15.1511` Chr`2` : `192,466,150`	0.791	0.209	0.000
rs115896270 lBF = `17.0766` Chr`2` : `6,322,348`	0.790	0.210	0.000
rs1801276 lBF = `19.3797` Chr`2` : `227,661,921`	0.789	0.211	0.000
rs138440701 lBF = `15.2454` Chr`2` : `113,783,743`	0.789	0.211	0.000
rs115706318 lBF = `11.1749` Chr`2` : `97,143,761`	0.780	0.220	0.000
rs113542870 lBF = `14.9563` Chr`2` : `115,489,878`	0.773	0.227	0.000
rs116018140 lBF = `24.9673` Chr`2` : `106,054,384`	0.771	0.229	0.000
rs17665650 lBF = `14.1219` Chr`2` : `194,297,468`	0.770	0.230	0.000
rs116580228 lBF = `10.6549` Chr`2` : `84,366,813`	0.764	0.236	0.000
rs140009341 lBF = `2.92393` Chr`2` : `137,190,884`	0.761	0.239	0.000
rs114846446 lBF = `9.16227` Chr`2` : `2,947,912`	0.749	0.251	0.000
rs72770140 lBF = `7.00192` Chr`2` : `4,666,772`	0.748	0.252	0.000
rs78990647 lBF = `15.3465` Chr`2` : `236,837,582`	0.741	0.259	0.000
rs17817451 lBF = `13.456` Chr`2` : `180,440,953`	0.736	0.264	0.000
rs116375068 lBF = `5.39278` Chr`2` : `12,212,803`	0.736	0.264	0.000
rs17564315 lBF = `2.57146` Chr`2` : `19,958,496`	0.000	0.282	0.718
rs115073616 lBF = `21.2519` Chr`2` : `22,668,759`	0.707	0.293	0.000
rs113403741 lBF = `11.9832` Chr`2` : `226,895,738`	0.703	0.297	0.000
rs114089901 lBF = `24.7301` Chr`2` : `97,528,099`	0.701	0.299	0.000
rs78227251 lBF = `17.4957` Chr`2` : `88,977,848`	0.697	0.302	0.000
rs115457615 lBF = `15.9194` Chr`2` : `168,583,240`	0.689	0.311	0.000
Affx-20583135 lBF = `9.49321` Chr`2` : `82,456,396`	0.000	0.312	0.688
rs146495511 lBF = `11.8047` Chr`2` : `26,825,698`	0.683	0.316	0.000
rs149636167 lBF = `15.5188` Chr`2` : `65,216,817`	0.683	0.317	0.000
rs187650835 lBF = `2.76435` Chr`2` : `149,086,644`	0.681	0.319	0.000
rs74591415 lBF = `13.4181` Chr`2` : `64,864,450`	0.677	0.323	0.000
rs76809125 lBF = `14.9284` Chr`2` : `18,402,656`	0.675	0.325	0.000
rs76444744 lBF = `4.62118` Chr`2` : `101,705,345`	0.674	0.326	0.000
rs112671876 lBF = `6.46431` Chr`2` : `78,908,449`	0.674	0.326	0.000
rs112288323 lBF = `2.33034` Chr`2` : `26,228,207`	0.670	0.330	0.000
rs10209766 lBF = `11.0593` Chr`2` : `35,161,415`	0.667	0.333	0.000
rs112143646 lBF = `18.4597` Chr`2` : `102,617,045`	0.666	0.334	0.000
rs13394458 lBF = `5.68749` Chr`2` : `142,230,943`	0.663	0.337	0.000
rs78789724 lBF = `20.4177` Chr`2` : `201,459,445`	0.661	0.339	0.000
rs113984483 lBF = `13.9687` Chr`2` : `35,302,577`	0.659	0.341	0.000
rs74795443 lBF = `6.71028` Chr`2` : `121,661,870`	0.654	0.346	0.000
rs116821480 lBF = `12.384` Chr`2` : `165,547,969`	0.644	0.356	0.000
rs35836525 lBF = `18.108` Chr`2` : `97,601,693`	0.643	0.357	0.000
rs80319776 lBF = `29.4798` Chr`2` : `149,090,166`	0.641	0.359	0.000
rs116517351 lBF = `17.5697` Chr`2` : `20,160,078`	0.639	0.361	0.000
rs295130 lBF = `24.0264` Chr`2` : `201,229,984`	0.637	0.363	0.000
rs74469198 lBF = `14.4455` Chr`2` : `20,110,483`	0.632	0.368	0.000
rs72790077 lBF = `17.8671` Chr`2` : `44,788,309`	0.632	0.368	0.000
rs62180472 lBF = `11.2108` Chr`2` : `222,690,063`	0.632	0.368	0.000
rs75985359 lBF = `19.6778` Chr`2` : `141,918,805`	0.631	0.369	0.000
rs77795656 lBF = `18.6094` Chr`2` : `227,058,243`	0.629	0.371	0.000
rs115594565 lBF = `14.4329` Chr`2` : `43,372,385`	0.624	0.376	0.000
rs7569074 lBF = `12.5456` Chr`2` : `33,580,954`	0.621	0.378	0.000
rs9308962 lBF = `12.3845` Chr`2` : `35,155,265`	0.620	0.380	0.000
rs148760487 lBF = `2.17191` Chr`2` : `163,778,613`	0.616	0.384	0.000
rs78846407 lBF = `16.3089` Chr`2` : `126,678,703`	0.615	0.385	0.000
rs7597058 lBF = `7.5115` Chr`2` : `106,009,735`	0.607	0.393	0.000
rs115128825 lBF = `15.3403` Chr`2` : `169,748,833`	0.606	0.394	0.000
rs116998110 lBF = `13.3549` Chr`2` : `72,099,750`	0.600	0.400	0.000
rs116251179 lBF = `15.6134` Chr`2` : `60,834,777`	0.597	0.403	0.000
rs13012498 lBF = `19.1236` Chr`2` : `175,594,387`	0.582	0.417	0.000
rs112225386 lBF = `14.6649` Chr`2` : `99,563,294`	0.576	0.424	0.000
rs188074355 lBF = `4.79154` Chr`2` : `123,026,148`	0.575	0.425	0.000
rs77169098 lBF = `26.0362` Chr`2` : `97,638,495`	0.574	0.426	0.000
rs79322857 lBF = `17.442` Chr`2` : `77,594,873`	0.569	0.431	0.000
rs1320333 lBF = `0.774822` Chr`2` : `679,179`	0.568	0.432	0.000
rs114049903 lBF = `17.8634` Chr`2` : `8,107,832`	0.566	0.434	0.000
rs114139149 lBF = `14.2732` Chr`2` : `159,748,419`	0.565	0.435	0.000
rs1987842 lBF = `5.12272` Chr`2` : `234,928,517`	0.563	0.437	0.000
rs3732064 lBF = `17.419` Chr`2` : `65,074,357`	0.559	0.441	0.000
rs72647873 lBF = `14.4328` Chr`2` : `179,643,566`	0.554	0.446	0.000
rs180791571 lBF = `9.12258` Chr`2` : `122,464,495`	0.551	0.449	0.000
rs74595671 lBF = `6.95219` Chr`2` : `159,403,054`	0.548	0.452	0.000
rs112242463 lBF = `13.4022` Chr`2` : `45,808,479`	0.535	0.465	0.000
rs115089939 lBF = `5.12906` Chr`2` : `139,874,228`	0.534	0.466	0.000
rs17586297 lBF = `14.1451` Chr`2` : `4,939,414`	0.532	0.468	0.000
rs114609132 lBF = `14.2901` Chr`2` : `1,551,467`	0.530	0.469	0.000
rs75579756 lBF = `14.6674` Chr`2` : `174,201,924`	0.524	0.476	0.000
rs115127256 lBF = `14.3925` Chr`2` : `226,747,566`	0.521	0.479	0.000
rs12997492 lBF = `13.2297` Chr`2` : `151,964,165`	0.516	0.483	0.000
rs6741751 lBF = `0.757169` Chr`2` : `234,827,661`	0.000	0.489	0.511
rs1035977 lBF = `8.7775` Chr`2` : `57,232,308`	0.510	0.490	0.000
rs6705628 lBF = `4.01162` Chr`2` : `74,208,362`	0.509	0.491	0.000
rs35667974 lBF = `16.6981` Chr`2` : `163,124,637`	0.508	0.492	0.000
rs80125857 lBF = `26.9524` Chr`2` : `175,108,663`	0.508	0.492	0.000
rs116465999 lBF = `13.7306` Chr`2` : `167,730,727`	0.506	0.494	0.000
rs6708110 lBF = `8.38552` Chr`2` : `4,054,805`	0.499	0.500	0.000
rs114306262 lBF = `19.9183` Chr`2` : `158,584,262`	0.497	0.503	0.000
rs114592654 lBF = `15.287` Chr`2` : `12,614,388`	0.497	0.503	0.000
rs13009537 lBF = `20.9772` Chr`2` : `76,970,796`	0.494	0.506	0.000
rs79523461 lBF = `15.6573` Chr`2` : `143,063,101`	0.494	0.506	0.000
rs140838333 lBF = `15.8559` Chr`2` : `46,460,880`	0.489	0.511	0.000
rs16859517 lBF = `0.646663` Chr`2` : `219,949,184`	0.481	0.519	0.000
rs75341787 lBF = `15.3097` Chr`2` : `235,088,991`	0.476	0.524	0.000
rs116600709 lBF = `13.3425` Chr`2` : `111,736,824`	0.475	0.525	0.000
rs12613387 lBF = `11.81` Chr`2` : `199,699,922`	0.475	0.525	0.000
rs114707893 lBF = `16.0863` Chr`2` : `97,566,051`	0.473	0.527	0.000
rs74669452 lBF = `14.43` Chr`2` : `234,623,898`	0.472	0.528	0.000
rs116375727 lBF = `13.6047` Chr`2` : `2,807,724`	0.469	0.531	0.000
rs17412531 lBF = `9.90515` Chr`2` : `192,154,412`	0.466	0.534	0.000
rs145244554 lBF = `6.78114` Chr`2` : `178,955,022`	0.465	0.534	0.000
rs17576670 lBF = `2.56905` Chr`2` : `62,817,019`	0.463	0.537	0.000
rs147056028 lBF = `2.35667` Chr`2` : `3,677,227`	0.455	0.544	0.000
rs2128770 lBF = `5.52515` Chr`2` : `67,453,754`	0.452	0.548	0.000
rs55677935 lBF = `39.658` Chr`2` : `62,228,013`	0.451	0.549	0.000
rs116797017 lBF = `26.7156` Chr`2` : `22,472,592`	0.443	0.557	0.000
rs11124622 lBF = `16.1796` Chr`2` : `38,091,790`	0.439	0.561	0.000
rs12994538 lBF = `8.90381` Chr`2` : `151,754,956`	0.438	0.562	0.000
rs141216273 lBF = `13.268` Chr`2` : `25,599,172`	0.437	0.563	0.000
rs148793625 lBF = `14.7971` Chr`2` : `118,117,059`	0.431	0.569	0.000
rs80249880 lBF = `15.9037` Chr`2` : `149,827,104`	0.430	0.570	0.000
rs2303319 lBF = `0.847322` Chr`2` : `162,224,664`	0.428	0.572	0.000
rs79916183 lBF = `24.1831` Chr`2` : `235,146,741`	0.420	0.580	0.000
rs138402956 lBF = `3.53154` Chr`2` : `56,197,800`	0.420	0.580	0.000
rs4632337 lBF = `14.828` Chr`2` : `216,766,065`	0.420	0.580	0.000
rs4972489 lBF = `0.36921` Chr`2` : `176,734,598`	0.415	0.585	0.000
rs114036970 lBF = `16.5897` Chr`2` : `25,230,221`	0.411	0.589	0.000
rs78797065 lBF = `2.29489` Chr`2` : `82,120,517`	0.411	0.589	0.000
rs116701331 lBF = `14.5351` Chr`2` : `195,567,306`	0.396	0.604	0.000
rs72788536 lBF = `19.7511` Chr`2` : `21,134,209`	0.395	0.605	0.000
rs72858498 lBF = `17.8755` Chr`2` : `145,211,738`	0.394	0.606	0.000
rs116419863 lBF = `28.8746` Chr`2` : `79,917,975`	0.393	0.607	0.000
rs191975838 lBF = `4.25389` Chr`2` : `52,121,667`	0.390	0.610	0.000
rs17020489 lBF = `2.57552` Chr`2` : `81,822,181`	0.377	0.623	0.000
rs77053667 lBF = `7.61983` Chr`2` : `106,646,550`	0.377	0.623	0.000
rs7572081 lBF = `2.78476` Chr`2` : `15,509,146`	0.375	0.625	0.000
rs79338951 lBF = `8.00884` Chr`2` : `117,705,815`	0.373	0.627	0.000
rs77640143 lBF = `5.73366` Chr`2` : `189,786,827`	0.368	0.631	0.000
rs114709725 lBF = `15.4695` Chr`2` : `207,557,965`	0.368	0.632	0.000
rs116260971 lBF = `14.538` Chr`2` : `66,345,333`	0.366	0.634	0.000
rs17042688 lBF = `0.304378` Chr`2` : `52,511,794`	0.365	0.635	0.000
rs77836103 lBF = `14.9637` Chr`2` : `40,783,993`	0.364	0.636	0.000
rs3769528 lBF = `1.86906` Chr`2` : `33,471,192`	0.363	0.636	0.000
rs61762670 lBF = `20.2293` Chr`2` : `55,812,201`	0.363	0.637	0.000
rs13388915 lBF = `7.77383` Chr`2` : `26,272,602`	0.361	0.639	0.000
rs6755097 lBF = `8.53243` Chr`2` : `196,116,079`	0.357	0.643	0.000
rs77367389 lBF = `15.2981` Chr`2` : `37,492,823`	0.354	0.646	0.000
rs13034020 lBF = `0.160271` Chr`2` : `61,043,834`	0.000	0.650	0.350
rs359965 lBF = `2.30351` Chr`2` : `219,840,891`	0.344	0.656	0.000
rs74456537 lBF = `16.3397` Chr`2` : `158,865,364`	0.341	0.659	0.000
rs116620409 lBF = `12.7917` Chr`2` : `46,121,281`	0.339	0.661	0.000
rs114076351 lBF = `20.8722` Chr`2` : `7,249,885`	0.337	0.663	0.000
rs76157199 lBF = `10.0516` Chr`2` : `98,541,874`	0.335	0.665	0.000
rs72948168 lBF = `6.34748` Chr`2` : `159,761,508`	0.332	0.668	0.000
rs112411280 lBF = `15.0001` Chr`2` : `28,678,625`	0.332	0.668	0.000
rs7577262 lBF = `0.579554` Chr`2` : `234,818,869`	0.000	0.668	0.332
rs13391419 lBF = `0.676772` Chr`2` : `222,921,916`	0.326	0.674	0.000
rs2708973 lBF = `3.29685` Chr`2` : `113,663,873`	0.325	0.674	0.000
rs77095817 lBF = `10.8277` Chr`2` : `44,926,615`	0.322	0.677	0.000
rs191185851 lBF = `1.72756` Chr`2` : `15,876,417`	0.322	0.678	0.000
rs17475168 lBF = `14.4134` Chr`2` : `65,598,866`	0.322	0.678	0.000
rs116769405 lBF = `17.8241` Chr`2` : `113,517,977`	0.317	0.683	0.000
rs11689435 lBF = `0.24428` Chr`2` : `218,314,253`	0.000	0.690	0.310
rs187076367 lBF = `2.26739` Chr`2` : `175,636,914`	0.307	0.693	0.000
rs16984718 lBF = `4.60309` Chr`2` : `18,509,254`	0.301	0.699	0.000
rs17362588 lBF = `1.1711` Chr`2` : `179,721,046`	0.301	0.699	0.000
rs78058190 lBF = `10.0519` Chr`2` : `219,699,999`	0.301	0.699	0.000
rs59735097 lBF = `7.95782` Chr`2` : `70,398,587`	0.299	0.701	0.000
rs115065086 lBF = `12.3717` Chr`2` : `36,397,485`	0.299	0.701	0.000
rs12991146 lBF = `0.27861` Chr`2` : `60,111,222`	0.295	0.705	0.000
rs78034869 lBF = `14.6594` Chr`2` : `173,203,198`	0.293	0.707	0.000
rs3769477 lBF = `12.6651` Chr`2` : `201,180,085`	0.293	0.707	0.000
rs114639172 lBF = `14.2055` Chr`2` : `239,638,502`	0.291	0.709	0.000
rs183369189 lBF = `1.70547` Chr`2` : `155,812,392`	0.289	0.711	0.000
rs1669539 lBF = `0.594279` Chr`2` : `106,615,274`	0.288	0.711	0.000
Affx-19135860 lBF = `11.016` Chr`2` : `220,045,902`	0.279	0.721	0.000
rs78446584 lBF = `7.86467` Chr`2` : `130,663,894`	0.276	0.724	0.000
rs79635241 lBF = `13.4282` Chr`2` : `32,209,991`	0.275	0.725	0.000
rs79423523 lBF = `15.7536` Chr`2` : `58,673,886`	0.270	0.730	0.000
rs13414323 lBF = `20.469` Chr`2` : `2,225,210`	0.262	0.737	0.000
rs10195252 lBF = `7.74212` Chr`2` : `165,513,091`	0.262	0.738	0.000
rs78141093 lBF = `15.0604` Chr`2` : `27,502,134`	0.260	0.740	0.000
rs1881492 lBF = `0.250862` Chr`2` : `233,406,998`	0.254	0.746	0.000
rs78488377 lBF = `7.59067` Chr`2` : `203,693,277`	0.252	0.748	0.000
rs75276992 lBF = `24.59` Chr`2` : `27,381,271`	0.251	0.749	0.000
rs186166314 lBF = `0.489607` Chr`2` : `48,663,037`	0.248	0.752	0.000
rs79861226 lBF = `13.5365` Chr`2` : `155,790,230`	0.247	0.753	0.000
rs17333649 lBF = `6.63712` Chr`2` : `5,379,187`	0.246	0.753	0.000
rs6750486 lBF = `0.237106` Chr`2` : `35,526,918`	0.246	0.754	0.000
rs78073327 lBF = `7.67219` Chr`2` : `127,527,025`	0.244	0.756	0.000
rs80098689 lBF = `14.847` Chr`2` : `167,262,238`	0.240	0.760	0.000
rs1125355 lBF = `0.0781835` Chr`2` : `159,700,580`	0.232	0.768	0.000
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rs3923113 lBF = `10.1058` Chr`2` : `165,501,849`	0.006	0.994	0.000
rs80337366 lBF = `15.2845` Chr`2` : `9,559,503`	0.005	0.994	0.001
rs77774752 lBF = `14.2158` Chr`2` : `56,960,157`	0.003	0.994	0.003
rs75947923 lBF = `5.12373` Chr`2` : `22,695,916`	0.006	0.994	0.000
rs6436559 lBF = `0.572876` Chr`2` : `226,352,798`	0.000	0.994	0.006
rs13421246 lBF = `0.124774` Chr`2` : `115,587,622`	0.000	0.994	0.006
rs7558233 lBF = `0.00686716` Chr`2` : `23,681,924`	0.006	0.994	0.000
rs2163237 lBF = `1.51567` Chr`2` : `55,973,732`	0.005	0.995	0.000
rs111571364 lBF = `1.65625` Chr`2` : `27,859,317`	0.005	0.995	0.000
rs7602460 lBF = `-0.0460674` Chr`2` : `182,261,869`	0.005	0.995	0.000
rs62133575 lBF = `17.8576` Chr`2` : `18,239,336`	0.003	0.995	0.002
rs765684 lBF = `0.00892006` Chr`2` : `75,459,668`	0.005	0.995	0.000
rs191356286 lBF = `0.0130101` Chr`2` : `82,325,816`	0.005	0.995	0.000
rs963731 lBF = `-0.0290316` Chr`2` : `39,216,873`	0.005	0.995	0.000
rs78801169 lBF = `14.2444` Chr`2` : `167,872,932`	0.002	0.995	0.003
rs13418717 lBF = `0.0688111` Chr`2` : `127,662,897`	0.000	0.995	0.005
rs2357982 lBF = `0.627502` Chr`2` : `161,886,103`	0.000	0.995	0.005
rs13021737 lBF = `8.48861` Chr`2` : `632,348`	0.004	0.996	0.000
rs115302848 lBF = `9.63821` Chr`2` : `210,941,688`	0.004	0.996	0.000
rs78487399 lBF = `2.59975` Chr`2` : `43,809,347`	0.004	0.996	0.000
rs4487103 lBF = `-0.0653121` Chr`2` : `165,485,978`	0.004	0.996	0.000
rs1012307 lBF = `0.00530942` Chr`2` : `150,655,221`	0.004	0.996	0.000
rs6732028 lBF = `-0.0340837` Chr`2` : `115,586,939`	0.000	0.996	0.004
rs11683503 lBF = `-0.0480324` Chr`2` : `79,198,168`	0.004	0.996	0.000
rs79722283 lBF = `12.398` Chr`2` : `56,869,337`	0.003	0.996	0.001
rs35810297 lBF = `11.267` Chr`2` : `9,597,171`	0.004	0.996	0.001
rs4027132 lBF = `-0.0193905` Chr`2` : `12,037,492`	0.004	0.996	0.000
rs10194115 lBF = `0.00315417` Chr`2` : `47,240,012`	0.004	0.996	0.000
rs6755502 lBF = `8.44259` Chr`2` : `635,721`	0.004	0.996	0.000
rs1823913 lBF = `0.00709571` Chr`2` : `192,118,047`	0.004	0.996	0.000
rs72911847 lBF = `0.10446` Chr`2` : `194,578,775`	0.000	0.996	0.004
rs187306222 lBF = `0.00289834` Chr`2` : `27,802,505`	0.003	0.996	0.000
rs400197 lBF = `12.4692` Chr`2` : `142,381,682`	0.004	0.996	0.000
rs74589926 lBF = `12.1504` Chr`2` : `43,903,262`	0.003	0.996	0.001
rs61571577 lBF = `0.00351247` Chr`2` : `47,236,436`	0.003	0.996	0.000
rs3791675 lBF = `59.7233` Chr`2` : `56,111,309`	0.003	0.997	0.000
rs4566392 lBF = `-0.0151844` Chr`2` : `79,506,643`	0.000	0.997	0.003
rs7582141 lBF = `0.00531809` Chr`2` : `159,899,489`	0.003	0.997	0.000
rs12613775 lBF = `0.167868` Chr`2` : `104,580,503`	0.003	0.997	0.000
rs10189761 lBF = `8.27588` Chr`2` : `646,364`	0.003	0.997	0.000
rs10190052 lBF = `8.27588` Chr`2` : `646,674`	0.003	0.997	0.000
rs2241685 lBF = `0.0407332` Chr`2` : `1,925,993`	0.000	0.997	0.003
rs454305 lBF = `-0.0838709` Chr`2` : `70,736,219`	0.003	0.997	0.000
rs6738627 lBF = `10.1711` Chr`2` : `165,544,450`	0.003	0.997	0.000
rs2099613 lBF = `-0.0489701` Chr`2` : `60,983,969`	0.000	0.997	0.003
rs7588654 lBF = `0.0316437` Chr`2` : `219,983,030`	0.000	0.997	0.003
rs16861531 lBF = `0.00135435` Chr`2` : `14,398,052`	0.003	0.997	0.000
rs13430864 lBF = `0.00264235` Chr`2` : `201,648,639`	0.003	0.997	0.000
rs1868402 lBF = `16.4481` Chr`2` : `68,409,037`	0.000	0.997	0.003
rs55983207 lBF = `0.0167053` Chr`2` : `119,529,829`	0.003	0.997	0.000
rs10174949 lBF = `0.472018` Chr`2` : `8,442,248`	0.003	0.997	0.000
rs999091 lBF = `22.6696` Chr`2` : `66,603,934`	0.003	0.997	0.000
rs62106258 lBF = `13.2334` Chr`2` : `417,167`	0.000	0.997	0.003
rs77059113 lBF = `9.7216` Chr`2` : `43,672,508`	0.003	0.997	0.000
rs6711016 lBF = `-0.0337265` Chr`2` : `21,123,352`	0.003	0.997	0.000
rs33993717 lBF = `-0.0730934` Chr`2` : `103,335,441`	0.003	0.997	0.000
rs12999373 lBF = `-0.0450572` Chr`2` : `663,483`	0.000	0.997	0.003
rs12692737 lBF = `9.54912` Chr`2` : `165,554,309`	0.003	0.997	0.000
rs6715284 lBF = `0.0464514` Chr`2` : `202,154,397`	0.003	0.997	0.000
rs11125608 lBF = `28.1288` Chr`2` : `56,095,104`	0.003	0.997	0.000
rs72991078 lBF = `15.803` Chr`2` : `238,732,864`	0.002	0.997	0.000
rs57484362 lBF = `14.3244` Chr`2` : `43,866,411`	0.002	0.997	0.000
rs1058065 lBF = `0.301022` Chr`2` : `27,587,724`	0.002	0.997	0.000
rs1400816 lBF = `0.0503748` Chr`2` : `172,680,678`	0.002	0.997	0.000
rs7588550 lBF = `0.00884597` Chr`2` : `213,168,768`	0.002	0.997	0.000
rs80314069 lBF = `14.1714` Chr`2` : `194,597,305`	0.002	0.998	0.000
rs1004368 lBF = `-0.0372147` Chr`2` : `168,641,970`	0.002	0.998	0.000
rs17021683 lBF = `0.00168425` Chr`2` : `82,616,450`	0.002	0.998	0.000
rs11889338 lBF = `0.0336869` Chr`2` : `17,427,585`	0.002	0.998	0.000
rs16828074 lBF = `0.00183681` Chr`2` : `232,318,754`	0.002	0.998	0.000
rs10208516 lBF = `0.00146951` Chr`2` : `81,574,758`	0.002	0.998	0.000
rs837841 lBF = `-0.108381` Chr`2` : `130,034,012`	0.000	0.998	0.002
rs4662863 lBF = `-0.0140425` Chr`2` : `129,669,656`	0.002	0.998	0.000
rs113027826 lBF = `0.523765` Chr`2` : `207,549,512`	0.002	0.998	0.000
rs72952664 lBF = `8.79899` Chr`2` : `216,969,624`	0.000	0.998	0.002
rs6543610 lBF = `0.00179305` Chr`2` : `31,376,654`	0.002	0.998	0.000
rs4854349 lBF = `8.30456` Chr`2` : `647,861`	0.002	0.998	0.000
rs749052 lBF = `-0.0102866` Chr`2` : `232,796,610`	0.000	0.998	0.002
rs7577642 lBF = `-0.0383078` Chr`2` : `85,699,750`	0.000	0.998	0.002
rs7577696 lBF = `0.0244476` Chr`2` : `32,278,782`	0.000	0.998	0.002
rs72952025 lBF = `-0.0981725` Chr`2` : `215,178,269`	0.002	0.998	0.000
rs142793646 lBF = `0.00090677` Chr`2` : `123,167,812`	0.002	0.998	0.000
rs2551802 lBF = `-0.119746` Chr`2` : `177,022,158`	0.002	0.998	0.000
rs16843372 lBF = `-0.0599898` Chr`2` : `159,670,449`	0.002	0.998	0.000
rs114927259 lBF = `6.36727` Chr`2` : `108,678,685`	0.002	0.998	0.000
rs996712 lBF = `0.214348` Chr`2` : `53,502,775`	0.000	0.998	0.002
rs3768939 lBF = `-0.00694992` Chr`2` : `236,990,057`	0.002	0.998	0.000
rs7599312 lBF = `-0.0764356` Chr`2` : `213,413,231`	0.002	0.998	0.000
rs2367809 lBF = `-0.0683116` Chr`2` : `33,776,680`	0.002	0.998	0.000
rs10439273 lBF = `-0.0925856` Chr`2` : `215,148,115`	0.002	0.998	0.000
rs2119507 lBF = `0.0212198` Chr`2` : `104,573,005`	0.002	0.998	0.000
rs10195263 lBF = `0.0175245` Chr`2` : `151,725,792`	0.000	0.998	0.002
rs4148323 lBF = `0.00143379` Chr`2` : `234,669,144`	0.002	0.998	0.000
rs10203066 lBF = `6.72413` Chr`2` : `218,144,954`	0.002	0.998	0.000
rs17382723 lBF = `-0.0557119` Chr`2` : `242,053,546`	0.002	0.998	0.000
rs12624302 lBF = `0.0138308` Chr`2` : `3,171,952`	0.002	0.998	0.000
rs62141431 lBF = `10.2305` Chr`2` : `80,342,942`	0.000	0.998	0.002
rs4452212 lBF = `-0.0312915` Chr`2` : `137,015,991`	0.000	0.998	0.002
rs7577463 lBF = `0.428347` Chr`2` : `228,994,782`	0.000	0.998	0.002

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

0.9236

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.3564

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0195

log Bayes Factor = 167.337

contains 13 variants

1.0000

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9999

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.9999

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.9999

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9999

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.9997

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.9996

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.9993

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.9991

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9986

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.9982

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.9980

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.9975

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.9966

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.9964

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9955

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9952

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.9945

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.9943

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.9939

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9934

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.9919

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.9918

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.9910

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.9908

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9892

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.9870

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.9853

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.9835

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9812

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.9802

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9797

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.9797

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9793

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.9780

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9780

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.9763

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.9715

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.9693

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.9677

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9675

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.9673

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.9671

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.9670

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.9658

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9585

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.9583

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.9550

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.9528

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.9521

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9506

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.9502

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.9422

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.9340

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.9320

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9316

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.9274

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.9200

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.9183

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.9074

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.9040

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.8996

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.8990

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.8978

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.8973

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.8919

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.8913

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.8688

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.8531

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.8470

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.8460

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.8410

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.8397

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.8330

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.8291

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.8275

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.8087

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.7971

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.7880

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.7832

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.7762

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.7740

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.7692

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.7655

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.7615

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.7606

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.7582

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.7529

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.7283

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.7216

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.7144

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.7084

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7081

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.7018

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.7014

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.6959

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.6957

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.6891

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.6830

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.6783

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.6698

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.6686

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.6483

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.6438

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.6397

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.6345

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.6132

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.5987

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.5495

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.5441

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.5321

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.5268

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.5229

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.5103

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.5068

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.5030

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.5020

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.4620

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.4604

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.4484

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.4361

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.4232

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.4117

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.3999

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.3446

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.3382

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.3339

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.3176

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.3141

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.2963

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.2770

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.2591

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.2575

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.2527

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.2301

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.2092

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.2046

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.1818

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.1750

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.1701

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.1695

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.1456

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.1446

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.1431

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.1366

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.1194

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.1142

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.1134

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.1112

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.1051

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.1038

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.0979

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.0943

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.0859

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.0844

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.0839

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.0815

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.0733

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.0705

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`)