TreeWAS – [O32.9] Maternal care for malpresentation of foetus, unspecified

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
rs9671547 lBF = `5.40262` Chr`14` : `21,203,332`	0.867	0.133	0.000
rs62272723 lBF = `13.2782` Chr`3` : `151,963,160`	0.863	0.137	0.000
rs116254114 lBF = `9.25391` Chr`14` : `21,228,586`	0.805	0.195	0.000
rs117337372 lBF = `13.2949` Chr`17` : `11,026,937`	0.782	0.217	0.000
rs10494973 lBF = `7.9198` Chr`1` : `214,132,143`	0.776	0.223	0.000
rs73198922 lBF = `7.10026` Chr`8` : `10,958,663`	0.772	0.228	0.000
rs10819009 lBF = `6.78047` Chr`9` : `98,367,811`	0.771	0.229	0.000
rs17710883 lBF = `12.3438` Chr`1` : `214,104,347`	0.770	0.230	0.000
rs7597058 lBF = `7.5115` Chr`2` : `106,009,735`	0.765	0.235	0.000
rs76178988 lBF = `5.33366` Chr`8` : `10,785,942`	0.752	0.248	0.000
rs11952583 lBF = `2.33169` Chr`5` : `73,309,105`	0.751	0.249	0.000
rs74595671 lBF = `6.95219` Chr`2` : `159,403,054`	0.746	0.254	0.000
rs77753228 lBF = `5.4503` Chr`18` : `41,134,775`	0.742	0.258	0.000
rs59735097 lBF = `7.95782` Chr`2` : `70,398,587`	0.740	0.260	0.000
rs16919333 lBF = `7.20476` Chr`9` : `103,452,327`	0.737	0.263	0.000
rs17564315 lBF = `2.57146` Chr`2` : `19,958,496`	0.000	0.263	0.737
rs62007678 lBF = `8.84102` Chr`14` : `103,870,716`	0.735	0.265	0.000
rs2570159 lBF = `5.73932` Chr`8` : `75,821,686`	0.720	0.280	0.000
rs117843447 lBF = `14.1413` Chr`17` : `20,921,845`	0.716	0.284	0.000
rs12231974 lBF = `6.07834` Chr`12` : `67,095,378`	0.713	0.287	0.000
Affx-20583135 lBF = `9.49321` Chr`2` : `82,456,396`	0.000	0.291	0.709
rs73021687 lBF = `16.4414` Chr`1` : `160,014,637`	0.704	0.296	0.000
rs56356712 lBF = `5.21401` Chr`10` : `60,211,412`	0.704	0.296	0.000
rs77103806 lBF = `6.36663` Chr`12` : `23,021,423`	0.703	0.297	0.000
rs78851502 lBF = `8.34221` Chr`12` : `40,811,944`	0.702	0.298	0.000
rs2413121 lBF = `7.58938` Chr`22` : `32,895,978`	0.700	0.300	0.000
rs11218343 lBF = `9.21158` Chr`11` : `121,435,587`	0.699	0.301	0.000
rs1386003 lBF = `12.5875` Chr`12` : `13,213,682`	0.698	0.302	0.000
rs10835606 lBF = `6.93759` Chr`11` : `30,004,238`	0.695	0.305	0.000
rs61919599 lBF = `9.83827` Chr`12` : `528,351`	0.695	0.305	0.000
rs17394246 lBF = `22.6201` Chr`13` : `25,208,811`	0.693	0.306	0.000
rs138642423 lBF = `3.85062` Chr`16` : `84,310,399`	0.692	0.307	0.000
rs11542187 lBF = `16.6935` Chr`19` : `7,992,976`	0.692	0.308	0.000
rs118177694 lBF = `9.087` Chr`11` : `41,829,733`	0.691	0.308	0.000
rs17887018 lBF = `17.3793` Chr`19` : `36,641,563`	0.690	0.310	0.000
rs76123431 lBF = `7.56428` Chr`1` : `46,357,802`	0.689	0.311	0.000
rs11585842 lBF = `12.4024` Chr`1` : `245,841,531`	0.689	0.311	0.000
rs80126971 lBF = `18.1379` Chr`7` : `36,697,785`	0.689	0.311	0.000
rs9366775 lBF = `32.0035` Chr`6` : `31,240,096`	0.688	0.312	0.000
rs13279522 lBF = `1.21249` Chr`8` : `66,974,252`	0.687	0.313	0.000
rs77800959 lBF = `11.6926` Chr`20` : `51,357,796`	0.687	0.313	0.000
rs17790731 lBF = `6.01635` Chr`5` : `94,983,529`	0.686	0.314	0.000
rs9357121 lBF = `31.2249` Chr`6` : `31,240,479`	0.686	0.314	0.000
rs9391714 lBF = `31.1904` Chr`6` : `31,245,080`	0.686	0.314	0.000
rs77118716 lBF = `8.9984` Chr`1` : `202,125,495`	0.685	0.314	0.000
rs7782376 lBF = `1.74258` Chr`7` : `116,577,124`	0.685	0.315	0.000
rs113866213 lBF = `6.92983` Chr`10` : `107,789,906`	0.685	0.315	0.000
rs117367263 lBF = `7.30706` Chr`13` : `24,530,834`	0.685	0.315	0.000
rs11065791 lBF = `12.9532` Chr`12` : `111,460,000`	0.684	0.316	0.000
rs116833987 lBF = `15.8412` Chr`1` : `97,606,979`	0.683	0.317	0.000
rs75781922 lBF = `11.3472` Chr`16` : `88,149,539`	0.681	0.319	0.000
rs78943781 lBF = `9.83402` Chr`19` : `32,443,306`	0.681	0.319	0.000
rs114659777 lBF = `10.4967` Chr`5` : `146,011,408`	0.680	0.320	0.000
rs79837333 lBF = `19.6803` Chr`5` : `80,512,632`	0.679	0.320	0.000
rs2965324 lBF = `13.1575` Chr`15` : `48,274,460`	0.678	0.322	0.000
rs77544976 lBF = `8.34279` Chr`8` : `143,465,481`	0.677	0.322	0.000
rs9295984 lBF = `68.201` Chr`6` : `31,317,697`	0.677	0.323	0.000
rs2238664 lBF = `17.927` Chr`19` : `19,258,385`	0.675	0.325	0.000
rs58950125 lBF = `19.7195` Chr`9` : `10,382,986`	0.674	0.326	0.000
rs12141644 lBF = `14.0953` Chr`1` : `202,125,994`	0.674	0.326	0.000
rs76670418 lBF = `10.9855` Chr`8` : `60,334,045`	0.673	0.327	0.000
rs117525990 lBF = `11.468` Chr`10` : `106,848,064`	0.673	0.327	0.000
rs17192386 lBF = `29.99` Chr`6` : `31,256,058`	0.673	0.327	0.000
rs117577998 lBF = `13.0097` Chr`8` : `143,505,653`	0.672	0.328	0.000
rs72660931 lBF = `10.5803` Chr`1` : `25,752,282`	0.668	0.332	0.000
rs1178422 lBF = `6.83318` Chr`17` : `5,863,924`	0.667	0.333	0.000
rs945307 lBF = `13.1426` Chr`14` : `57,824,617`	0.666	0.334	0.000
rs62235996 lBF = `12.7384` Chr`22` : `38,041,015`	0.666	0.334	0.000
rs1889721 lBF = `15.2322` Chr`14` : `57,778,179`	0.665	0.335	0.000
rs11595238 lBF = `2.87726` Chr`10` : `101,930,409`	0.665	0.335	0.000
rs79638442 lBF = `13.2792` Chr`5` : `66,180,409`	0.664	0.335	0.000
rs73147826 lBF = `14.8932` Chr`3` : `116,659,269`	0.664	0.336	0.000
rs35426951 lBF = `19.3875` Chr`4` : `4,566,274`	0.664	0.336	0.000
rs117292830 lBF = `18.5393` Chr`6` : `31,218,268`	0.664	0.336	0.000
rs75867155 lBF = `6.99353` Chr`2` : `8,029,114`	0.664	0.336	0.000
rs76904521 lBF = `9.88184` Chr`8` : `1,148,999`	0.663	0.337	0.000
rs74320203 lBF = `11.4376` Chr`1` : `20,921,903`	0.662	0.338	0.000
rs76027185 lBF = `15.5405` Chr`3` : `65,669,218`	0.662	0.338	0.000
rs78882373 lBF = `14.656` Chr`2` : `150,846,305`	0.661	0.339	0.000
rs116740811 lBF = `5.20808` Chr`3` : `76,718,625`	0.661	0.339	0.000
rs35339759 lBF = `21.1966` Chr`10` : `105,718,919`	0.661	0.339	0.000
rs17719860 lBF = `5.58804` Chr`9` : `78,644,071`	0.660	0.339	0.000
rs2394967 lBF = `67.3079` Chr`6` : `31,269,129`	0.659	0.341	0.000
rs12370770 lBF = `24.384` Chr`12` : `112,277,084`	0.658	0.342	0.000
rs17741506 lBF = `13.2067` Chr`19` : `58,458,516`	0.658	0.342	0.000
rs9380234 lBF = `27.1707` Chr`6` : `31,248,568`	0.658	0.342	0.000
rs17198734 lBF = `28.2378` Chr`6` : `31,256,026`	0.658	0.342	0.000
rs62272818 lBF = `8.90122` Chr`3` : `160,515,586`	0.657	0.343	0.000
rs12127944 lBF = `1.82396` Chr`1` : `205,483,595`	0.657	0.343	0.000
rs71370433 lBF = `1.56699` Chr`17` : `6,197,824`	0.657	0.343	0.000
rs1653608 lBF = `16.5227` Chr`12` : `121,706,733`	0.656	0.344	0.000
rs73144643 lBF = `11.2486` Chr`20` : `59,934,558`	0.656	0.344	0.000
rs4523128 lBF = `67.5153` Chr`6` : `31,269,382`	0.653	0.347	0.000
rs62378043 lBF = `12.7136` Chr`5` : `117,199,683`	0.653	0.347	0.000
rs118020484 lBF = `8.51253` Chr`15` : `56,818,990`	0.653	0.347	0.000
rs79235855 lBF = `16.45` Chr`12` : `1,537,749`	0.652	0.348	0.000
rs76719755 lBF = `19.161` Chr`18` : `66,910,435`	0.651	0.348	0.000
rs35587409 lBF = `12.2827` Chr`12` : `100,841,306`	0.651	0.348	0.000
rs9978888 lBF = `8.12132` Chr`21` : `18,002,476`	0.651	0.349	0.000
rs76754339 lBF = `2.82851` Chr`6` : `118,104,136`	0.650	0.350	0.000
rs73951098 lBF = `16.0578` Chr`18` : `27,470,942`	0.649	0.351	0.000
rs16966085 lBF = `5.66056` Chr`13` : `105,835,170`	0.649	0.351	0.000
rs116900477 lBF = `12.2144` Chr`7` : `117,202,817`	0.649	0.351	0.000
rs72882047 lBF = `8.84333` Chr`6` : `33,628,307`	0.648	0.352	0.000
rs72683295 lBF = `19.6099` Chr`1` : `103,466,407`	0.647	0.353	0.000
rs2965313 lBF = `14.0878` Chr`15` : `48,241,505`	0.646	0.354	0.000
rs45585732 lBF = `23.7699` Chr`6` : `29,910,549`	0.645	0.355	0.000
rs73030679 lBF = `10.1305` Chr`3` : `15,937,127`	0.644	0.356	0.000
rs113153761 lBF = `6.16497` Chr`2` : `127,727,764`	0.643	0.356	0.000
rs7536740 lBF = `11.7453` Chr`1` : `168,472,921`	0.643	0.357	0.000
rs2134039 lBF = `6.11532` Chr`12` : `101,928,424`	0.643	0.357	0.000
rs12037379 lBF = `11.2434` Chr`1` : `20,959,746`	0.641	0.359	0.000
rs7810984 lBF = `11.2791` Chr`7` : `141,761,438`	0.000	0.359	0.641
rs115811434 lBF = `12.939` Chr`4` : `82,956,773`	0.641	0.359	0.000
rs1992284 lBF = `5.12033` Chr`2` : `43,065,555`	0.641	0.359	0.000
rs62057608 lBF = `5.08013` Chr`16` : `34,682,193`	0.641	0.359	0.000
rs112473686 lBF = `9.94576` Chr`1` : `106,514,329`	0.640	0.360	0.000
rs74349719 lBF = `17.1061` Chr`3` : `46,650,701`	0.640	0.360	0.000
rs79110379 lBF = `23.2625` Chr`4` : `158,586,316`	0.640	0.360	0.000
rs73224126 lBF = `18.1836` Chr`4` : `13,056,615`	0.639	0.360	0.000
rs74795443 lBF = `6.71028` Chr`2` : `121,661,870`	0.638	0.362	0.000
rs116561927 lBF = `21.8507` Chr`2` : `221,679,348`	0.638	0.362	0.000
rs1968498 lBF = `9.0386` Chr`9` : `86,696,174`	0.638	0.362	0.000
rs1801276 lBF = `19.3797` Chr`2` : `227,661,921`	0.637	0.363	0.000
rs75564153 lBF = `12.9648` Chr`4` : `126,393,692`	0.637	0.363	0.000
rs35506702 lBF = `8.81167` Chr`10` : `65,045,865`	0.636	0.364	0.000
rs17592741 lBF = `11.219` Chr`5` : `153,000,842`	0.636	0.364	0.000
rs116940284 lBF = `11.3342` Chr`11` : `63,333,643`	0.636	0.364	0.000
rs59355858 lBF = `6.81191` Chr`7` : `29,629,005`	0.635	0.365	0.000
rs17727296 lBF = `13.2947` Chr`8` : `72,558,829`	0.635	0.365	0.000
rs115281334 lBF = `15.0554` Chr`4` : `78,595,878`	0.635	0.365	0.000
rs115683773 lBF = `1.99043` Chr`4` : `175,125,429`	0.635	0.365	0.000
rs57551647 lBF = `6.18396` Chr`12` : `85,602,577`	0.634	0.366	0.000
rs60078135 lBF = `5.25935` Chr`8` : `1,082,832`	0.633	0.366	0.000
rs113285159 lBF = `5.01196` Chr`18` : `40,971,984`	0.633	0.367	0.000
rs143954261 lBF = `3.1342` Chr`5` : `126,729,450`	0.633	0.367	0.000
Affx-4319464 lBF = `12.3919` Chr`11` : `119,229,758`	0.632	0.368	0.000
rs7190199 lBF = `9.04801` Chr`16` : `57,101,340`	0.631	0.369	0.000
rs72805156 lBF = `15.3888` Chr`16` : `85,887,242`	0.631	0.369	0.000
rs77685854 lBF = `10.8777` Chr`3` : `32,897,040`	0.630	0.370	0.000
rs56227635 lBF = `17.231` Chr`2` : `128,259,423`	0.630	0.370	0.000
rs78775229 lBF = `15.1154` Chr`18` : `36,175,363`	0.629	0.371	0.000
rs13134917 lBF = `18.2629` Chr`4` : `158,640,682`	0.629	0.371	0.000
rs117415762 lBF = `13.5576` Chr`9` : `77,698,356`	0.629	0.371	0.000
rs12136606 lBF = `19.0454` Chr`1` : `15,741,403`	0.629	0.371	0.000
rs117508732 lBF = `10.2984` Chr`15` : `67,824,170`	0.628	0.371	0.000
rs2301601 lBF = `7.06119` Chr`16` : `23,366,528`	0.629	0.371	0.000
rs79733042 lBF = `12.0741` Chr`3` : `146,691,517`	0.628	0.372	0.000
rs73889852 lBF = `5.62659` Chr`3` : `189,561,323`	0.627	0.373	0.000
rs116066300 lBF = `16.0918` Chr`6` : `22,877,032`	0.627	0.373	0.000
rs7185320 lBF = `8.98742` Chr`16` : `57,101,373`	0.626	0.373	0.000
rs58542926 lBF = `25.9472` Chr`19` : `19,379,549`	0.626	0.374	0.000
rs4942278 lBF = `11.2944` Chr`13` : `44,681,950`	0.626	0.374	0.000
rs7907139 lBF = `7.56397` Chr`10` : `107,833,640`	0.626	0.374	0.000
rs34026507 lBF = `10.4882` Chr`18` : `864,782`	0.625	0.375	0.000
rs9394047 lBF = `14.8238` Chr`6` : `31,236,250`	0.625	0.375	0.000
rs1805860 lBF = `6.63278` Chr`8` : `91,022,867`	0.624	0.375	0.000
rs73211928 lBF = `9.06643` Chr`12` : `118,039,876`	0.624	0.376	0.000
rs78289709 lBF = `16.6994` Chr`18` : `27,498,046`	0.623	0.377	0.000
rs75626916 lBF = `11.7941` Chr`12` : `108,663,870`	0.622	0.378	0.000
rs115326449 lBF = `19.0223` Chr`6` : `63,544,853`	0.622	0.378	0.000
rs11021370 lBF = `5.86896` Chr`11` : `95,726,855`	0.621	0.378	0.000
rs2267586 lBF = `8.83369` Chr`19` : `36,159,368`	0.621	0.378	0.000
rs10999556 lBF = `11.1577` Chr`10` : `72,571,360`	0.621	0.379	0.000
rs76309893 lBF = `21.1949` Chr`16` : `13,228,713`	0.621	0.379	0.000
rs74469198 lBF = `14.4455` Chr`2` : `20,110,483`	0.620	0.379	0.000
rs2585617 lBF = `4.35661` Chr`6` : `69,337,787`	0.620	0.380	0.000
rs12892019 lBF = `13.1568` Chr`14` : `25,759,476`	0.619	0.381	0.000
rs72657827 lBF = `22.3443` Chr`1` : `23,392,108`	0.619	0.381	0.000
rs79635565 lBF = `14.2779` Chr`3` : `42,538,627`	0.619	0.381	0.000
rs34260939 lBF = `18.531` Chr`10` : `105,800,893`	0.618	0.381	0.000
rs77302254 lBF = `3.40499` Chr`11` : `11,593,573`	0.618	0.382	0.000
rs111550474 lBF = `9.97502` Chr`6` : `1,977,205`	0.617	0.383	0.000
rs41291189 lBF = `5.43607` Chr`3` : `69,074,878`	0.617	0.383	0.000
rs13248930 lBF = `6.94247` Chr`8` : `125,664,204`	0.616	0.384	0.000
rs140529718 lBF = `2.47724` Chr`5` : `111,326,200`	0.615	0.385	0.000
rs111863112 lBF = `18.891` Chr`3` : `46,449,863`	0.615	0.385	0.000
rs117414778 lBF = `9.84757` Chr`11` : `122,198,886`	0.613	0.387	0.000
rs73599289 lBF = `8.85426` Chr`19` : `36,156,281`	0.613	0.387	0.000
rs116249078 lBF = `11.4951` Chr`4` : `69,792,030`	0.613	0.387	0.000
rs56113960 lBF = `17.1557` Chr`22` : `21,355,501`	0.612	0.387	0.000
rs76733568 lBF = `27.8026` Chr`9` : `24,659,540`	0.612	0.388	0.000
rs117811601 lBF = `12.5145` Chr`13` : `109,010,696`	0.612	0.388	0.000
rs45533135 lBF = `73.6781` Chr`6` : `31,430,951`	0.612	0.388	0.000
rs73387635 lBF = `15.4845` Chr`9` : `1,814,698`	0.611	0.389	0.000
rs59541686 lBF = `7.3156` Chr`9` : `71,815,966`	0.611	0.389	0.000
rs9327574 lBF = `12.0462` Chr`5` : `130,117,354`	0.611	0.389	0.000
rs41262444 lBF = `14.5044` Chr`22` : `25,959,702`	0.611	0.389	0.000
rs150639459 lBF = `11.2123` Chr`8` : `18,804,686`	0.611	0.389	0.000
rs6124878 lBF = `3.85459` Chr`20` : `45,497,723`	0.611	0.389	0.000
rs117531883 lBF = `20.9443` Chr`8` : `8,309,054`	0.610	0.389	0.000
rs34457396 lBF = `18.3682` Chr`19` : `10,752,352`	0.610	0.389	0.000
rs11811132 lBF = `14.4138` Chr`1` : `34,352,741`	0.610	0.389	0.000
rs117759274 lBF = `14.7453` Chr`12` : `23,131,855`	0.610	0.390	0.000
rs17095029 lBF = `13.6715` Chr`14` : `72,140,969`	0.609	0.390	0.000
rs148909372 lBF = `11.2024` Chr`3` : `15,576,104`	0.609	0.391	0.000
rs76456280 lBF = `15.924` Chr`20` : `61,822,979`	0.609	0.391	0.000
rs117604355 lBF = `8.1344` Chr`16` : `82,276,031`	0.609	0.391	0.000
rs116517351 lBF = `17.5697` Chr`2` : `20,160,078`	0.609	0.391	0.000
rs1473500 lBF = `1.94868` Chr`6` : `168,511,016`	0.607	0.392	0.000
rs72727381 lBF = `15.1333` Chr`15` : `38,823,527`	0.607	0.393	0.000
rs62414823 lBF = `7.58322` Chr`6` : `115,891,711`	0.607	0.393	0.000
rs114987466 lBF = `13.887` Chr`1` : `21,632,046`	0.607	0.393	0.000
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rs72722108 lBF = `19.2492` Chr`1` : `95,589,180`	0.538	0.462	0.000
rs72705699 lBF = `11.092` Chr`1` : `168,820,294`	0.538	0.462	0.000
rs76605533 lBF = `18.0219` Chr`9` : `100,624,553`	0.538	0.462	0.000
rs59218290 lBF = `15.3723` Chr`11` : `131,807,633`	0.537	0.462	0.000
rs193031333 lBF = `7.91451` Chr`16` : `79,189,810`	0.537	0.463	0.000
rs114198627 lBF = `18.7376` Chr`6` : `31,195,009`	0.537	0.463	0.000
rs55684811 lBF = `13.4343` Chr`10` : `7,041,621`	0.537	0.463	0.000
rs35292876 lBF = `4.20174` Chr`1` : `196,706,642`	0.537	0.463	0.000
rs9959639 lBF = `10.7013` Chr`18` : `71,891,450`	0.536	0.463	0.000
rs76053268 lBF = `14.7595` Chr`7` : `101,478,402`	0.536	0.464	0.000
rs61849693 lBF = `19.7248` Chr`10` : `27,574,929`	0.536	0.464	0.000
rs115394689 lBF = `13.8594` Chr`1` : `245,542,829`	0.536	0.464	0.000
rs187700680 lBF = `24.0087` Chr`8` : `15,377,498`	0.536	0.464	0.000
rs10102274 lBF = `0.521114` Chr`8` : `91,652,087`	0.535	0.465	0.000
rs17216525 lBF = `13.7081` Chr`19` : `19,662,220`	0.535	0.465	0.000
rs259464 lBF = `12.2399` Chr`1` : `218,749,231`	0.535	0.465	0.000
rs79858930 lBF = `31.6188` Chr`10` : `83,047,434`	0.535	0.465	0.000
rs12804815 lBF = `1.71775` Chr`11` : `27,453,729`	0.535	0.465	0.000
rs115706318 lBF = `11.1749` Chr`2` : `97,143,761`	0.535	0.465	0.000
rs201435717 lBF = `2.48587` Chr`6` : `122,793,700`	0.535	0.465	0.000
rs74122244 lBF = `16.8618` Chr`10` : `14,402,332`	0.535	0.465	0.000
rs73167621 lBF = `14.0409` Chr`3` : `162,484,638`	0.534	0.466	0.000
rs114807680 lBF = `13.419` Chr`3` : `134,804,491`	0.534	0.466	0.000
rs73180559 lBF = `24.7935` Chr`7` : `82,760,550`	0.534	0.466	0.000
rs75024436 lBF = `14.4606` Chr`3` : `50,046,446`	0.534	0.466	0.000
rs57450513 lBF = `3.07688` Chr`5` : `141,225,446`	0.534	0.466	0.000
rs17867771 lBF = `17.3194` Chr`7` : `126,766,816`	0.533	0.467	0.000
rs6833389 lBF = `13.2457` Chr`4` : `30,534,841`	0.533	0.467	0.000
rs117933286 lBF = `14.503` Chr`9` : `81,306,530`	0.532	0.467	0.000
rs73366442 lBF = `12.0256` Chr`7` : `73,989,491`	0.532	0.467	0.000
rs12632235 lBF = `6.76759` Chr`3` : `100,536,284`	0.532	0.468	0.000
rs117940740 lBF = `11.288` Chr`6` : `118,825,260`	0.532	0.468	0.000
rs77268492 lBF = `15.5722` Chr`10` : `95,315,221`	0.532	0.468	0.000
rs117491017 lBF = `13.5104` Chr`10` : `82,973,059`	0.532	0.468	0.000
rs114266608 lBF = `12.9331` Chr`3` : `7,233,078`	0.531	0.469	0.000
rs6669578 lBF = `12.1135` Chr`1` : `239,083,707`	0.531	0.469	0.000
rs77809575 lBF = `25.0612` Chr`5` : `95,206,522`	0.531	0.469	0.000
rs77649004 lBF = `14.247` Chr`12` : `96,135,916`	0.531	0.469	0.000
rs78653070 lBF = `24.647` Chr`13` : `104,713,852`	0.530	0.470	0.000
rs72686220 lBF = `11.9345` Chr`4` : `100,980,334`	0.530	0.470	0.000
rs74088517 lBF = `6.49283` Chr`14` : `97,195,171`	0.530	0.470	0.000
rs17806606 lBF = `13.7652` Chr`6` : `111,381,063`	0.530	0.470	0.000
rs72767417 lBF = `6.73352` Chr`15` : `94,813,962`	0.530	0.470	0.000
rs75411983 lBF = `7.67071` Chr`3` : `110,149,585`	0.530	0.470	0.000
rs116876575 lBF = `16.1237` Chr`22` : `49,899,208`	0.530	0.470	0.000
rs72696757 lBF = `13.7503` Chr`1` : `112,707,919`	0.530	0.470	0.000
rs117473458 lBF = `11.4108` Chr`14` : `38,261,632`	0.529	0.470	0.000
rs2106212 lBF = `24.403` Chr`8` : `12,569,241`	0.529	0.470	0.000
rs78266345 lBF = `11.4849` Chr`10` : `58,390,087`	0.529	0.471	0.000
rs75061448 lBF = `16.6364` Chr`6` : `135,296,684`	0.529	0.471	0.000
rs114167782 lBF = `8.41965` Chr`7` : `116,939,287`	0.529	0.471	0.000
rs79918060 lBF = `17.5524` Chr`12` : `58,407,669`	0.529	0.471	0.000
rs76214282 lBF = `12.0701` Chr`4` : `147,802,635`	0.528	0.471	0.000
rs13387838 lBF = `11.2378` Chr`2` : `207,281,447`	0.528	0.472	0.000
rs113177748 lBF = `11.695` Chr`1` : `239,092,298`	0.528	0.472	0.000
rs7221713 lBF = `15.6984` Chr`17` : `59,735,398`	0.528	0.472	0.000
rs75285952 lBF = `1.61462` Chr`4` : `27,904,556`	0.528	0.472	0.000
rs13085381 lBF = `10.9304` Chr`3` : `145,972,179`	0.528	0.472	0.000
rs112425727 lBF = `11.6766` Chr`1` : `239,088,889`	0.528	0.472	0.000
rs9970786 lBF = `11.6766` Chr`1` : `239,090,514`	0.528	0.472	0.000
rs77453333 lBF = `13.3291` Chr`8` : `8,514,483`	0.527	0.472	0.000
rs12321507 lBF = `16.2879` Chr`12` : `96,134,818`	0.527	0.473	0.000
rs34986024 lBF = `38.1993` Chr`6` : `64,667,005`	0.527	0.473	0.000
rs139052640 lBF = `3.08938` Chr`1` : `212,728,370`	0.527	0.473	0.000
rs117571560 lBF = `14.6503` Chr`9` : `76,169,871`	0.527	0.473	0.000
rs6534757 lBF = `14.7722` Chr`4` : `130,956,329`	0.527	0.473	0.000
rs117822702 lBF = `13.8577` Chr`14` : `60,403,097`	0.526	0.474	0.000
rs17004598 lBF = `2.6091` Chr`21` : `45,078,556`	0.526	0.474	0.000
rs17485667 lBF = `7.24574` Chr`9` : `131,768,191`	0.526	0.474	0.000
rs76964416 lBF = `17.3421` Chr`5` : `141,526,554`	0.526	0.474	0.000
rs76637322 lBF = `10.6201` Chr`18` : `31,667,339`	0.526	0.474	0.000
rs78342332 lBF = `7.79538` Chr`13` : `95,049,165`	0.525	0.474	0.000
rs7605378 lBF = `2.57393` Chr`2` : `200,676,926`	0.525	0.475	0.000
rs11652121 lBF = `15.4813` Chr`17` : `28,532,332`	0.525	0.475	0.000
rs138117236 lBF = `16.8457` Chr`15` : `83,309,422`	0.525	0.475	0.000
rs6047213 lBF = `9.2869` Chr`20` : `21,012,445`	0.525	0.475	0.000
rs1229984 lBF = `29.775` Chr`4` : `100,239,319`	0.525	0.475	0.000
rs78685710 lBF = `14.7268` Chr`3` : `189,149,244`	0.524	0.475	0.000
rs61868799 lBF = `15.1871` Chr`11` : `1,905,880`	0.524	0.475	0.000
rs12743802 lBF = `12.0493` Chr`1` : `75,458,806`	0.524	0.475	0.000
rs11108227 lBF = `16.4201` Chr`12` : `96,134,001`	0.524	0.476	0.000
rs17880984 lBF = `14.3287` Chr`3` : `3,127,122`	0.524	0.476	0.000
rs196586 lBF = `13.7618` Chr`7` : `36,320,821`	0.524	0.476	0.000
rs7936890 lBF = `12.0045` Chr`11` : `124,931,559`	0.524	0.476	0.000
rs75985359 lBF = `19.6778` Chr`2` : `141,918,805`	0.524	0.476	0.000
rs149872224 lBF = `17.5873` Chr`10` : `19,786,378`	0.523	0.476	0.000
rs4921542 lBF = `5.71395` Chr`8` : `17,205,577`	0.523	0.477	0.000
rs3736995 lBF = `2.66976` Chr`13` : `26,923,565`	0.523	0.477	0.000
rs77745943 lBF = `12.1624` Chr`9` : `99,034,907`	0.523	0.477	0.000
rs115380428 lBF = `16.4549` Chr`5` : `18,099,592`	0.523	0.477	0.000
rs8088922 lBF = `14.0675` Chr`18` : `6,976,513`	0.523	0.477	0.000
rs114004994 lBF = `20.3162` Chr`6` : `32,138,617`	0.523	0.477	0.000
rs12205572 lBF = `5.88882` Chr`6` : `166,779,464`	0.522	0.478	0.000
rs9308962 lBF = `12.3845` Chr`2` : `35,155,265`	0.522	0.478	0.000
rs28392903 lBF = `14.0654` Chr`15` : `26,106,644`	0.522	0.478	0.000

This table lists the top 500 variants ordered by p(effect).

The full results table can be downloaded from this page.

Variant clusters with highest protective effect

(posterior probability > 0.05)

Cluster X0036

log Bayes Factor = 43.2308

contains 4 variants

0.5141

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.2888

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0195

log Bayes Factor = 167.337

contains 13 variants

0.9575

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.9574

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.9514

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.9302

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.9107

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.8980

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.8919

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.8650

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.8588

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.8566

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.8446

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.8394

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.8317

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.8147

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.8056

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.7990

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.7934

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.7916

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.7870

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.7845

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.7739

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.7737

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.7707

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.7676

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.7635

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.7590

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.7461

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.7398

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.7376

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.7169

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.7167

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.7164

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.7163

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.7162

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.7158

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.7149

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.7146

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.7143

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.7138

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.7135

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.7125

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.7119

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.7114

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.7097

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.7093

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.7086

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.7084

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.7082

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.7051

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.7022

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.6992

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.6987

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.6980

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.6931

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.6922

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.6912

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.6905

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.6892

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.6882

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.6873

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.6860

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.6844

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.6836

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.6834

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.6809

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.6796

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.6788

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.6784

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.6767

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.6753

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.6743

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.6729

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.6726

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.6720

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.6700

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.6696

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.6678

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.6656

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.6640

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.6615

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.6566

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.6537

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.6523

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.6499

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.6423

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.6415

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.6393

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.6322

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.6283

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.6279

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.6193

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.6186

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.6185

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.6160

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.6142

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.6130

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.5946

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.5945

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.5885

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.5834

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.5808

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.5803

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.5801

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.5731

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.5714

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.5711

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.5625

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.5587

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.5565

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.5435

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.5424

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.5372

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.5359

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.5329

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.5300

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.5256

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.5230

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.5208

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.5181

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.5164

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.5139

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.5116

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.5106

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.5049

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.4985

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.4833

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.4809

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.4805

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.4752

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.4708

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.4639

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.4635

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.4619

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.4585

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.4522

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.4480

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.4330

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.4317

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.4196

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.4178

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.4136

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.4101

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.4095

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.4065

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.4060

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.4034

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.3860

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.3849

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.3810

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.3754

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.3595

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.3560

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.3538

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.3523

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.3492

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.3448

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.3303

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.3210

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.2830

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.2513

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.2440

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.2314

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.2224

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.1721

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.1579

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.1539

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.1391

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.1287

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.1098

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.0986

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.0978

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.0926

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.0878

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.0810

Cluster X0160

log Bayes Factor = 99.5328

contains 9 variants

0.0752

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.0678

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.0676

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.0574

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.0563

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`)