TreeWAS – [O02.0] Blighted ovum and nonhydatidiform mole

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
rs17762192 lBF = `2.36343` Chr`1` : `214,125,127`	0.944	0.056	0.000
rs10494973 lBF = `7.9198` Chr`1` : `214,132,143`	0.790	0.210	0.000
rs76681713 lBF = `24.4335` Chr`16` : `72,333,346`	0.785	0.215	0.000
rs11811132 lBF = `14.4138` Chr`1` : `34,352,741`	0.784	0.216	0.000
rs75495766 lBF = `31.5977` Chr`16` : `72,693,940`	0.755	0.245	0.000
rs55897192 lBF = `17.5837` Chr`6` : `112,420,515`	0.749	0.251	0.000
rs76157199 lBF = `10.0516` Chr`2` : `98,541,874`	0.748	0.252	0.000
rs118175001 lBF = `26.7437` Chr`16` : `72,724,630`	0.745	0.255	0.000
rs74795443 lBF = `6.71028` Chr`2` : `121,661,870`	0.745	0.255	0.000
rs76954458 lBF = `13.8611` Chr`15` : `35,189,409`	0.741	0.259	0.000
rs4635580 lBF = `7.44251` Chr`20` : `40,949,831`	0.732	0.268	0.000
rs117825839 lBF = `16.5381` Chr`12` : `28,978,196`	0.731	0.269	0.000
rs73165246 lBF = `10.4101` Chr`3` : `164,952,146`	0.729	0.271	0.000
rs9650068 lBF = `5.82939` Chr`8` : `117,643,773`	0.000	0.277	0.723
rs34145779 lBF = `7.00229` Chr`13` : `89,636,306`	0.713	0.287	0.000
rs112469508 lBF = `15.1969` Chr`7` : `153,176,649`	0.710	0.290	0.000
rs75538714 lBF = `15.783` Chr`20` : `55,594,141`	0.697	0.303	0.000
rs117631583 lBF = `15.1608` Chr`7` : `78,667,335`	0.697	0.303	0.000
rs830478 lBF = `9.24249` Chr`8` : `73,372,875`	0.696	0.303	0.000
rs9913352 lBF = `7.55706` Chr`17` : `53,818,042`	0.695	0.305	0.000
rs114481486 lBF = `15.1462` Chr`4` : `67,890,992`	0.694	0.306	0.000
rs80260767 lBF = `16.4535` Chr`10` : `99,803,425`	0.693	0.307	0.000
rs945307 lBF = `13.1426` Chr`14` : `57,824,617`	0.692	0.307	0.000
rs72781450 lBF = `8.96513` Chr`16` : `13,988,334`	0.692	0.308	0.000
rs115457615 lBF = `15.9194` Chr`2` : `168,583,240`	0.690	0.310	0.000
rs117134709 lBF = `14.2154` Chr`10` : `99,843,767`	0.689	0.311	0.000
rs77237430 lBF = `10.8581` Chr`8` : `117,500,622`	0.689	0.311	0.000
rs1889721 lBF = `15.2322` Chr`14` : `57,778,179`	0.686	0.314	0.000
rs117843447 lBF = `14.1413` Chr`17` : `20,921,845`	0.684	0.316	0.000
rs7865017 lBF = `5.62044` Chr`9` : `133,770,222`	0.000	0.319	0.681
rs17475168 lBF = `14.4134` Chr`2` : `65,598,866`	0.678	0.322	0.000
rs17095029 lBF = `13.6715` Chr`14` : `72,140,969`	0.678	0.322	0.000
rs76084488 lBF = `14.8485` Chr`14` : `71,911,727`	0.676	0.324	0.000
rs117141652 lBF = `13.9446` Chr`6` : `112,465,118`	0.668	0.332	0.000
rs114089901 lBF = `24.7301` Chr`2` : `97,528,099`	0.664	0.336	0.000
rs1229984 lBF = `29.775` Chr`4` : `100,239,319`	0.662	0.338	0.000
rs114619588 lBF = `11.9743` Chr`4` : `55,738,261`	0.659	0.341	0.000
rs76710341 lBF = `11.6968` Chr`6` : `93,881,166`	0.658	0.342	0.000
rs72881062 lBF = `15.7439` Chr`6` : `56,801,308`	0.656	0.344	0.000
rs77268492 lBF = `15.5722` Chr`10` : `95,315,221`	0.655	0.345	0.000
rs76523732 lBF = `18.01` Chr`1` : `180,578,260`	0.653	0.347	0.000
rs116910478 lBF = `15.3435` Chr`7` : `89,932,032`	0.650	0.350	0.000
rs35836525 lBF = `18.108` Chr`2` : `97,601,693`	0.649	0.351	0.000
rs190627217 lBF = `13.7219` Chr`17` : `45,811,915`	0.648	0.352	0.000
rs11218343 lBF = `9.21158` Chr`11` : `121,435,587`	0.648	0.352	0.000
rs77869481 lBF = `13.1447` Chr`3` : `191,374,294`	0.648	0.352	0.000
rs17710883 lBF = `12.3438` Chr`1` : `214,104,347`	0.646	0.354	0.000
rs114752366 lBF = `15.9284` Chr`5` : `20,126,254`	0.645	0.355	0.000
rs117571560 lBF = `14.6503` Chr`9` : `76,169,871`	0.645	0.355	0.000
rs9300286 lBF = `6.33079` Chr`12` : `128,617,839`	0.645	0.355	0.000
rs73167108 lBF = `11.234` Chr`3` : `166,673,121`	0.644	0.356	0.000
rs17412357 lBF = `6.22841` Chr`14` : `32,976,219`	0.643	0.357	0.000
rs185543003 lBF = `13.0544` Chr`19` : `2,714,170`	0.640	0.359	0.000
rs112472535 lBF = `16.0956` Chr`3` : `130,285,880`	0.638	0.362	0.000
rs12511037 lBF = `1.75425` Chr`4` : `75,334,864`	0.633	0.366	0.000
rs140529718 lBF = `2.47724` Chr`5` : `111,326,200`	0.632	0.368	0.000
rs16919333 lBF = `7.20476` Chr`9` : `103,452,327`	0.632	0.368	0.000
rs73154143 lBF = `22.4344` Chr`22` : `26,354,531`	0.631	0.369	0.000
rs72879350 lBF = `14.0343` Chr`6` : `58,001,218`	0.631	0.369	0.000
rs13215574 lBF = `14.0292` Chr`6` : `146,006,127`	0.631	0.369	0.000
rs9391714 lBF = `31.1904` Chr`6` : `31,245,080`	0.630	0.370	0.000
rs75722873 lBF = `14.839` Chr`4` : `14,811,981`	0.628	0.371	0.000
rs9366775 lBF = `32.0035` Chr`6` : `31,240,096`	0.628	0.372	0.000
rs74584624 lBF = `18.2621` Chr`5` : `62,106,216`	0.626	0.374	0.000
rs4698169 lBF = `4.23782` Chr`4` : `17,135,343`	0.626	0.374	0.000
rs9357121 lBF = `31.2249` Chr`6` : `31,240,479`	0.625	0.375	0.000
rs16893349 lBF = `16.5225` Chr`8` : `134,207,963`	0.625	0.375	0.000
rs6755097 lBF = `8.53243` Chr`2` : `196,116,079`	0.625	0.375	0.000
rs72875818 lBF = `15.9254` Chr`6` : `62,043,183`	0.621	0.379	0.000
rs12813285 lBF = `22.3499` Chr`12` : `68,206,219`	0.618	0.382	0.000
rs111763904 lBF = `13.1327` Chr`6` : `43,091,942`	0.617	0.383	0.000
rs116955587 lBF = `13.3887` Chr`6` : `97,757,667`	0.616	0.384	0.000
rs140355816 lBF = `6.61367` Chr`8` : `117,574,515`	0.614	0.386	0.000
rs79665456 lBF = `13.4635` Chr`17` : `36,203,084`	0.613	0.387	0.000
rs12646291 lBF = `9.83219` Chr`4` : `910,875`	0.613	0.387	0.000
rs112242463 lBF = `13.4022` Chr`2` : `45,808,479`	0.611	0.389	0.000
rs76037241 lBF = `15.2229` Chr`18` : `3,178,541`	0.610	0.390	0.000
rs72786098 lBF = `5.52274` Chr`10` : `18,729,855`	0.609	0.391	0.000
rs72734666 lBF = `13.2903` Chr`5` : `13,273,417`	0.608	0.392	0.000
rs116564764 lBF = `16.14` Chr`3` : `162,298,640`	0.608	0.392	0.000
rs115073616 lBF = `21.2519` Chr`2` : `22,668,759`	0.607	0.393	0.000
rs77095817 lBF = `10.8277` Chr`2` : `44,926,615`	0.606	0.394	0.000
rs73155884 lBF = `15.0763` Chr`3` : `162,109,264`	0.603	0.397	0.000
rs114167782 lBF = `8.41965` Chr`7` : `116,939,287`	0.603	0.397	0.000
rs73167621 lBF = `14.0409` Chr`3` : `162,484,638`	0.603	0.397	0.000
rs6576557 lBF = `17.711` Chr`15` : `26,540,811`	0.602	0.398	0.000
rs8107107 lBF = `7.30758` Chr`19` : `42,477,310`	0.601	0.399	0.000
rs114495629 lBF = `14.5035` Chr`1` : `245,701,098`	0.601	0.399	0.000
rs73272823 lBF = `15.6671` Chr`14` : `66,292,820`	0.601	0.399	0.000
rs75153334 lBF = `20.2913` Chr`14` : `22,426,873`	0.600	0.400	0.000
rs75312808 lBF = `17.1131` Chr`15` : `47,918,724`	0.599	0.400	0.000
rs6650640 lBF = `11.0513` Chr`18` : `31,748,225`	0.599	0.401	0.000
rs62208037 lBF = `5.56284` Chr`20` : `62,081,262`	0.000	0.402	0.598
rs80327898 lBF = `16.9494` Chr`1` : `83,359,635`	0.598	0.402	0.000
rs141216273 lBF = `13.268` Chr`2` : `25,599,172`	0.596	0.403	0.000
rs80126971 lBF = `18.1379` Chr`7` : `36,697,785`	0.596	0.404	0.000
rs17406405 lBF = `16.4915` Chr`7` : `78,658,711`	0.596	0.404	0.000
rs77169098 lBF = `26.0362` Chr`2` : `97,638,495`	0.596	0.404	0.000
rs17137306 lBF = `8.84223` Chr`7` : `114,461,205`	0.596	0.404	0.000
rs77052778 lBF = `6.40134` Chr`2` : `171,579,290`	0.595	0.404	0.000
rs75593565 lBF = `13.6234` Chr`12` : `32,115,266`	0.594	0.405	0.000
rs77600076 lBF = `5.41577` Chr`21` : `19,531,442`	0.594	0.405	0.000
rs7835454 lBF = `2.03289` Chr`8` : `40,034,434`	0.594	0.406	0.000
rs60705247 lBF = `7.77481` Chr`18` : `54,741,103`	0.593	0.407	0.000
rs75056204 lBF = `8.7084` Chr`9` : `76,174,850`	0.593	0.407	0.000
rs117089640 lBF = `23.0292` Chr`12` : `125,048,557`	0.593	0.407	0.000
rs76861960 lBF = `13.3651` Chr`16` : `77,599,439`	0.592	0.408	0.000
rs73387635 lBF = `15.4845` Chr`9` : `1,814,698`	0.589	0.411	0.000
rs76731769 lBF = `14.8647` Chr`17` : `35,063,138`	0.588	0.412	0.000
rs76796201 lBF = `14.1948` Chr`12` : `23,091,755`	0.587	0.412	0.000
rs77427150 lBF = `13.5234` Chr`9` : `101,239,130`	0.587	0.413	0.000
rs115683773 lBF = `1.99043` Chr`4` : `175,125,429`	0.586	0.414	0.000
rs72659626 lBF = `18.2705` Chr`8` : `72,920,433`	0.586	0.414	0.000
rs117066666 lBF = `16.3713` Chr`13` : `104,588,913`	0.586	0.414	0.000
rs1235153 lBF = `9.04692` Chr`12` : `48,110,325`	0.586	0.414	0.000
rs114713670 lBF = `13.9187` Chr`5` : `20,300,604`	0.584	0.416	0.000
rs79811951 lBF = `11.8332` Chr`1` : `52,153,714`	0.584	0.416	0.000
rs3933766 lBF = `120.737` Chr`13` : `20,110,195`	0.000	0.416	0.584
rs72660931 lBF = `10.5803` Chr`1` : `25,752,282`	0.583	0.416	0.000
rs116260971 lBF = `14.538` Chr`2` : `66,345,333`	0.583	0.417	0.000
rs34256314 lBF = `9.29528` Chr`11` : `87,130,422`	0.582	0.417	0.000
rs72988842 lBF = `15.8412` Chr`11` : `98,345,840`	0.582	0.418	0.000
rs114807680 lBF = `13.419` Chr`3` : `134,804,491`	0.582	0.418	0.000
rs79741311 lBF = `18.6339` Chr`11` : `128,943,556`	0.582	0.418	0.000
rs9368666 lBF = `20.5229` Chr`6` : `31,229,644`	0.580	0.420	0.000
rs118155463 lBF = `21.1268` Chr`17` : `8,079,842`	0.580	0.420	0.000
rs12150130 lBF = `14.6179` Chr`17` : `14,117,282`	0.579	0.420	0.000
rs79235855 lBF = `16.45` Chr`12` : `1,537,749`	0.579	0.420	0.000
rs117654928 lBF = `7.86182` Chr`17` : `72,690,643`	0.579	0.421	0.000
rs117413168 lBF = `15.6145` Chr`6` : `126,759,473`	0.578	0.422	0.000
rs73271426 lBF = `11.5943` Chr`7` : `13,645,098`	0.576	0.423	0.000
rs75341196 lBF = `12.5825` Chr`5` : `110,919,007`	0.576	0.424	0.000
rs9380234 lBF = `27.1707` Chr`6` : `31,248,568`	0.576	0.424	0.000
rs72810761 lBF = `1.39362` Chr`10` : `22,377,958`	0.576	0.424	0.000
rs117577142 lBF = `13.9718` Chr`6` : `121,711,840`	0.575	0.425	0.000
rs73086940 lBF = `15.2945` Chr`20` : `10,871,255`	0.574	0.426	0.000
rs117259901 lBF = `14.326` Chr`20` : `14,679,824`	0.574	0.426	0.000
rs41262444 lBF = `14.5044` Chr`22` : `25,959,702`	0.573	0.427	0.000
rs17111530 lBF = `0.778096` Chr`14` : `81,598,912`	0.572	0.428	0.000
rs75579756 lBF = `14.6674` Chr`2` : `174,201,924`	0.572	0.428	0.000
rs73556638 lBF = `15.5477` Chr`9` : `139,034,164`	0.572	0.428	0.000
rs1409005 lBF = `1.06167` Chr`13` : `79,155,612`	0.571	0.429	0.000
rs116959808 lBF = `13.4797` Chr`7` : `78,588,768`	0.570	0.429	0.000
rs79436609 lBF = `1.9732` Chr`3` : `140,417,446`	0.570	0.430	0.000
rs117233030 lBF = `16.6065` Chr`9` : `14,348,774`	0.569	0.431	0.000
rs76632111 lBF = `6.34649` Chr`5` : `35,441,720`	0.569	0.431	0.000
rs114639805 lBF = `17.9862` Chr`5` : `152,612,967`	0.568	0.432	0.000
rs17333649 lBF = `6.63712` Chr`2` : `5,379,187`	0.568	0.432	0.000
rs76637322 lBF = `10.6201` Chr`18` : `31,667,339`	0.567	0.433	0.000
rs57083132 lBF = `7.71528` Chr`6` : `82,762,197`	0.566	0.434	0.000
rs10998466 lBF = `1.69456` Chr`10` : `70,626,429`	0.565	0.435	0.000
rs116144413 lBF = `13.7612` Chr`4` : `946,403`	0.565	0.435	0.000
rs16966085 lBF = `5.66056` Chr`13` : `105,835,170`	0.565	0.435	0.000
rs76610801 lBF = `26.3212` Chr`4` : `185,937,527`	0.564	0.436	0.000
rs117101324 lBF = `10.7221` Chr`14` : `76,851,865`	0.564	0.436	0.000
rs73030679 lBF = `10.1305` Chr`3` : `15,937,127`	0.563	0.437	0.000
rs34856868 lBF = `6.11916` Chr`1` : `92,554,283`	0.563	0.437	0.000
rs117811601 lBF = `12.5145` Chr`13` : `109,010,696`	0.563	0.437	0.000
rs62024303 lBF = `0.664094` Chr`15` : `88,871,162`	0.562	0.438	0.000
rs62402721 lBF = `13.1732` Chr`6` : `32,087,258`	0.561	0.438	0.000
rs17674099 lBF = `12.945` Chr`16` : `81,506,593`	0.561	0.439	0.000
rs116998110 lBF = `13.3549` Chr`2` : `72,099,750`	0.561	0.439	0.000
rs77291344 lBF = `14.4938` Chr`5` : `10,584,278`	0.560	0.440	0.000
rs35727241 lBF = `15.5892` Chr`3` : `191,366,444`	0.559	0.440	0.000
rs77425173 lBF = `10.1827` Chr`3` : `16,991,193`	0.559	0.440	0.000
rs2894196 lBF = `17.3657` Chr`6` : `31,230,111`	0.559	0.441	0.000
rs151037173 lBF = `13.9074` Chr`20` : `3,089,900`	0.558	0.442	0.000
rs57584581 lBF = `29.3193` Chr`4` : `185,951,230`	0.555	0.444	0.000
rs12539417 lBF = `18.0477` Chr`7` : `135,720,705`	0.555	0.445	0.000
rs17192386 lBF = `29.99` Chr`6` : `31,256,058`	0.554	0.446	0.000
rs114969413 lBF = `34.4385` Chr`6` : `31,925,679`	0.554	0.446	0.000
rs17198734 lBF = `28.2378` Chr`6` : `31,256,026`	0.554	0.446	0.000
rs4782160 lBF = `13.3659` Chr`16` : `14,650,645`	0.553	0.447	0.000
rs114707893 lBF = `16.0863` Chr`2` : `97,566,051`	0.553	0.447	0.000
rs55968350 lBF = `15.4456` Chr`3` : `126,904,733`	0.552	0.447	0.000
rs7185320 lBF = `8.98742` Chr`16` : `57,101,373`	0.552	0.448	0.000
rs73198922 lBF = `7.10026` Chr`8` : `10,958,663`	0.551	0.449	0.000
rs2401797 lBF = `13.9776` Chr`5` : `13,384,463`	0.551	0.449	0.000
rs118177694 lBF = `9.087` Chr`11` : `41,829,733`	0.550	0.450	0.000
rs76242156 lBF = `19.5711` Chr`12` : `65,043,774`	0.549	0.451	0.000
rs62076101 lBF = `21.8133` Chr`17` : `45,882,243`	0.547	0.453	0.000
rs4839680 lBF = `1.36876` Chr`3` : `143,902,027`	0.546	0.454	0.000
rs7190199 lBF = `9.04801` Chr`16` : `57,101,340`	0.546	0.454	0.000
rs80166972 lBF = `9.23193` Chr`4` : `172,193,847`	0.546	0.454	0.000
rs74759033 lBF = `10.8675` Chr`9` : `127,676,918`	0.546	0.454	0.000
rs9536754 lBF = `7.90128` Chr`13` : `55,132,519`	0.545	0.454	0.000
rs114752401 lBF = `17.2608` Chr`4` : `188,730,635`	0.544	0.456	0.000
rs3129934 lBF = `192.051` Chr`6` : `32,336,187`	0.544	0.456	0.000
rs62272723 lBF = `13.2782` Chr`3` : `151,963,160`	0.543	0.457	0.000
rs73189054 lBF = `14.4361` Chr`5` : `102,170,617`	0.543	0.457	0.000
rs12000567 lBF = `4.07403` Chr`9` : `789,499`	0.543	0.457	0.000
rs11717635 lBF = `14.2382` Chr`3` : `65,469,748`	0.542	0.457	0.000
rs77211134 lBF = `9.0942` Chr`3` : `30,366,119`	0.541	0.459	0.000
rs112090150 lBF = `14.7051` Chr`22` : `46,270,236`	0.540	0.460	0.000
rs78262206 lBF = `37.9756` Chr`1` : `31,792,220`	0.538	0.462	0.000
rs9394047 lBF = `14.8238` Chr`6` : `31,236,250`	0.537	0.463	0.000
rs111932090 lBF = `8.81436` Chr`3` : `155,268,658`	0.536	0.464	0.000
rs74367134 lBF = `15.2023` Chr`4` : `115,387,129`	0.534	0.465	0.000
rs78424619 lBF = `12.1013` Chr`4` : `128,704,037`	0.534	0.466	0.000
rs76114334 lBF = `19.0254` Chr`16` : `83,093,295`	0.534	0.466	0.000
rs116986691 lBF = `22.3468` Chr`10` : `87,698,378`	0.534	0.466	0.000
rs4151670 lBF = `21.3629` Chr`6` : `31,915,532`	0.533	0.467	0.000
rs117605016 lBF = `28.0976` Chr`12` : `129,614,385`	0.532	0.468	0.000
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rs12136606 lBF = `19.0454` Chr`1` : `15,741,403`	0.463	0.537	0.000
rs113617295 lBF = `18.4784` Chr`6` : `30,719,481`	0.463	0.537	0.000
rs11608709 lBF = `15.4681` Chr`12` : `99,302,859`	0.463	0.537	0.000
rs148909372 lBF = `11.2024` Chr`3` : `15,576,104`	0.462	0.537	0.000
rs79858930 lBF = `31.6188` Chr`10` : `83,047,434`	0.462	0.538	0.000
rs35487354 lBF = `14.9055` Chr`11` : `65,366,882`	0.462	0.538	0.000
rs114751866 lBF = `13.8639` Chr`6` : `31,210,018`	0.462	0.538	0.000
rs71435583 lBF = `11.0177` Chr`2` : `20,924,244`	0.461	0.538	0.000
rs75411983 lBF = `7.67071` Chr`3` : `110,149,585`	0.461	0.539	0.000
rs76531899 lBF = `13.8951` Chr`5` : `109,156,748`	0.461	0.539	0.000
rs11001678 lBF = `14.7621` Chr`10` : `77,955,610`	0.461	0.539	0.000
rs111822562 lBF = `16.5225` Chr`6` : `37,064,250`	0.460	0.540	0.000
rs17587640 lBF = `6.65411` Chr`1` : `192,101,505`	0.460	0.540	0.000
rs11575839 lBF = `13.4374` Chr`6` : `31,557,791`	0.460	0.540	0.000
rs7551672 lBF = `7.66104` Chr`1` : `237,262,184`	0.460	0.540	0.000
rs62414823 lBF = `7.58322` Chr`6` : `115,891,711`	0.459	0.540	0.000
rs78643014 lBF = `10.956` Chr`5` : `68,403,982`	0.459	0.541	0.000
rs17207986 lBF = `30.3956` Chr`6` : `32,079,567`	0.459	0.541	0.000
rs79523270 lBF = `9.90193` Chr`16` : `88,443,748`	0.459	0.541	0.000
rs56229264 lBF = `17.6142` Chr`8` : `27,321,189`	0.459	0.541	0.000
rs11880637 lBF = `3.65485` Chr`19` : `11,655,010`	0.459	0.541	0.000
rs118020484 lBF = `8.51253` Chr`15` : `56,818,990`	0.457	0.542	0.000
rs117487501 lBF = `16.2076` Chr`14` : `26,589,434`	0.457	0.543	0.000
rs76024631 lBF = `30.2245` Chr`6` : `32,088,988`	0.457	0.543	0.000
rs72981070 lBF = `12.7775` Chr`2` : `141,798,089`	0.456	0.544	0.000
rs72767417 lBF = `6.73352` Chr`15` : `94,813,962`	0.456	0.544	0.000
rs2128770 lBF = `5.52515` Chr`2` : `67,453,754`	0.455	0.544	0.000
rs55723035 lBF = `12.5757` Chr`16` : `75,490,145`	0.455	0.545	0.000
rs2237897 lBF = `14.807` Chr`11` : `2,858,546`	0.455	0.545	0.000
rs78990647 lBF = `15.3465` Chr`2` : `236,837,582`	0.455	0.545	0.000
rs6467710 lBF = `5.41598` Chr`7` : `137,203,819`	0.455	0.545	0.000
rs79169085 lBF = `7.81341` Chr`17` : `46,297,515`	0.455	0.545	0.000
rs7936890 lBF = `12.0045` Chr`11` : `124,931,559`	0.455	0.545	0.000
rs117824799 lBF = `22.345` Chr`11` : `43,752,296`	0.454	0.546	0.000
rs16914920 lBF = `12.1807` Chr`12` : `19,128,595`	0.454	0.546	0.000
rs80002652 lBF = `18.6612` Chr`12` : `107,437,422`	0.453	0.546	0.000
rs117759274 lBF = `14.7453` Chr`12` : `23,131,855`	0.453	0.547	0.000
rs72884766 lBF = `12.6675` Chr`6` : `63,869,257`	0.453	0.547	0.000
rs78119065 lBF = `14.991` Chr`9` : `1,833,972`	0.453	0.547	0.000
rs72696757 lBF = `13.7503` Chr`1` : `112,707,919`	0.453	0.547	0.000
rs76558737 lBF = `11.0862` Chr`18` : `19,432,268`	0.452	0.547	0.000
rs6119285 lBF = `3.59829` Chr`20` : `31,376,995`	0.452	0.548	0.000
rs1622289 lBF = `17.2268` Chr`7` : `157,567,732`	0.451	0.548	0.000
rs76719755 lBF = `19.161` Chr`18` : `66,910,435`	0.451	0.549	0.000
rs75334015 lBF = `17.4139` Chr`15` : `40,551,636`	0.451	0.549	0.000
rs78266345 lBF = `11.4849` Chr`10` : `58,390,087`	0.450	0.550	0.000
rs16845887 lBF = `12.9189` Chr`4` : `72,005,823`	0.450	0.550	0.000
rs35638776 lBF = `33.5106` Chr`6` : `64,613,233`	0.449	0.550	0.000
rs73090154 lBF = `1.70548` Chr`3` : `59,280,504`	0.449	0.551	0.000
rs77611086 lBF = `14.008` Chr`5` : `170,553,290`	0.449	0.551	0.000
rs79464621 lBF = `24.8591` Chr`5` : `151,383,540`	0.449	0.551	0.000
rs62404827 lBF = `14.5298` Chr`6` : `31,932,556`	0.449	0.551	0.000
rs41284366 lBF = `7.57409` Chr`10` : `118,187,444`	0.448	0.551	0.000
rs75891606 lBF = `16.6189` Chr`6` : `502,106`	0.448	0.552	0.000
rs118006904 lBF = `18.7559` Chr`14` : `40,477,467`	0.448	0.552	0.000
rs75911208 lBF = `8.932` Chr`22` : `39,905,549`	0.448	0.552	0.000
rs79423523 lBF = `15.7536` Chr`2` : `58,673,886`	0.447	0.553	0.000
rs73031884 lBF = `12.3771` Chr`19` : `31,702,426`	0.447	0.553	0.000
rs17057381 lBF = `1.98864` Chr`8` : `27,416,801`	0.447	0.553	0.000
rs13251303 lBF = `21.0972` Chr`8` : `34,230,938`	0.447	0.553	0.000
rs72999187 lBF = `16.0305` Chr`6` : `149,148,901`	0.445	0.554	0.000
rs753057 lBF = `7.13839` Chr`13` : `113,797,801`	0.445	0.555	0.000
rs117675380 lBF = `13.6306` Chr`18` : `811,672`	0.444	0.555	0.000
rs16999204 lBF = `7.39147` Chr`21` : `41,416,066`	0.444	0.556	0.000
rs117182866 lBF = `23.3157` Chr`6` : `112,035,847`	0.444	0.556	0.000
rs2570159 lBF = `5.73932` Chr`8` : `75,821,686`	0.444	0.556	0.000
rs77837545 lBF = `13.4569` Chr`5` : `35,622,892`	0.444	0.556	0.000
rs116853542 lBF = `17.1118` Chr`7` : `18,656,230`	0.443	0.556	0.000
rs4685943 lBF = `1.3179` Chr`3` : `5,535,277`	0.443	0.556	0.000
rs1314913 lBF = `2.73209` Chr`14` : `68,699,594`	0.443	0.557	0.000
rs114076351 lBF = `20.8722` Chr`2` : `7,249,885`	0.443	0.557	0.000
rs116359246 lBF = `12.4475` Chr`1` : `93,035,991`	0.443	0.557	0.000
rs118079879 lBF = `5.09035` Chr`12` : `41,713,306`	0.443	0.557	0.000
rs80084511 lBF = `7.45888` Chr`22` : `36,704,700`	0.443	0.557	0.000
rs35632171 lBF = `10.0741` Chr`10` : `65,109,502`	0.442	0.557	0.000
rs117038501 lBF = `17.8854` Chr`10` : `81,028,250`	0.441	0.559	0.000
rs41308401 lBF = `6.59762` Chr`1` : `150,938,877`	0.441	0.559	0.000
rs80076601 lBF = `13.5975` Chr`20` : `24,148,686`	0.440	0.559	0.000
rs79124699 lBF = `7.72862` Chr`17` : `64,093,897`	0.440	0.560	0.000
rs79851078 lBF = `5.58339` Chr`17` : `30,005,058`	0.440	0.560	0.000
rs72660956 lBF = `14.4052` Chr`1` : `25,800,018`	0.439	0.561	0.000
rs73224126 lBF = `18.1836` Chr`4` : `13,056,615`	0.439	0.561	0.000
rs117708929 lBF = `24.4858` Chr`6` : `124,879,601`	0.439	0.561	0.000
rs116350627 lBF = `18.5363` Chr`3` : `1,467,635`	0.439	0.561	0.000
rs56281909 lBF = `11.3432` Chr`9` : `4,418,821`	0.438	0.562	0.000
rs7569074 lBF = `12.5456` Chr`2` : `33,580,954`	0.438	0.562	0.000
rs2286313 lBF = `1.86051` Chr`14` : `71,514,163`	0.438	0.562	0.000
rs117064875 lBF = `12.0836` Chr`11` : `28,313,112`	0.437	0.563	0.000
rs72941843 lBF = `24.4224` Chr`6` : `105,906,081`	0.437	0.563	0.000
rs75198306 lBF = `12.1179` Chr`5` : `149,642,229`	0.437	0.563	0.000
rs13134917 lBF = `18.2629` Chr`4` : `158,640,682`	0.437	0.563	0.000
rs9457925 lBF = `223.212` Chr`6` : `160,848,743`	0.436	0.564	0.000
rs72728293 lBF = `32.154` Chr`14` : `65,578,757`	0.436	0.564	0.000
rs35446494 lBF = `7.95755` Chr`12` : `119,533,218`	0.436	0.564	0.000
rs77066006 lBF = `16.2994` Chr`10` : `113,316,046`	0.436	0.564	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

0.4890

Cluster X0036

log Bayes Factor = 43.2308

contains 4 variants

0.1930

Cluster X0173

log Bayes Factor = 654.164

contains 9 variants

0.0584

Cluster X0328

log Bayes Factor = 380.087

contains 8 variants

0.0546

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.9200

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.9014

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.8927

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.8652

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.8642

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.8435

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.8371

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.8234

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.8112

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.7704

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.7670

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.7643

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.7634

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.7612

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.7511

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.7312

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.7308

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.7210

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.7097

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.6737

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.6555

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.6453

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.6430

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.6385

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.6384

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.6065

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.6060

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.6032

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.5938

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.5921

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.5784

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.5712

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.5655

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.5609

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.5396

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.5190

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.5018

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.4890

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.4825

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.4788

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.4593

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.4545

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.4521

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.4511

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.4493

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.4393

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.4265

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.4248

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.4190

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.4142

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.4139

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.4135

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.4086

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.4048

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.4000

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.3993

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.3881

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.3845

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.3776

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.3771

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.3636

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.3510

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.3435

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.3357

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.3308

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.3226

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.3174

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.3158

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.3113

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.3076

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.3072

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.3066

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.3032

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.3019

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.2990

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.2984

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.2969

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.2954

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.2939

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.2907

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.2892

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.2809

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.2767

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.2735

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.2699

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.2698

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.2602

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.2550

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.2547

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.2498

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.2406

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.2347

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.2343

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.2278

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.2265

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.2238

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.2163

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.2159

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.2141

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.2123

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.2108

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.2085

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.2065

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.2031

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.1942

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.1918

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.1910

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.1885

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.1847

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.1793

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.1738

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.1723

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.1721

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.1683

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.1650

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.1620

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.1608

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.1581

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.1556

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.1529

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.1527

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.1518

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.1509

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.1450

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.1417

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.1397

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.1386

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.1380

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.1353

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.1258

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.1257

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.1241

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.1226

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.1210

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.1207

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.1179

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.1177

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.1153

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.1122

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.1032

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.1012

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.1006

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.0990

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.0979

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.0936

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.0930

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.0910

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.0896

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.0894

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.0881

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.0878

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.0840

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.0828

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.0762

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.0733

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.0690

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.0669

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.0616

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.0563

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.0563

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.0548

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.0516

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`)