TreeWAS – [O75.1] Shock during or following labour and delivery

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
rs73599289 lBF = `8.85426` Chr`19` : `36,156,281`	0.715	0.285	0.000
rs2267586 lBF = `8.83369` Chr`19` : `36,159,368`	0.715	0.285	0.000
rs2227278 lBF = `7.91754` Chr`19` : `36,206,050`	0.714	0.286	0.000
rs16970649 lBF = `5.96979` Chr`19` : `36,222,857`	0.713	0.287	0.000
rs73592448 lBF = `7.09386` Chr`19` : `36,258,721`	0.713	0.287	0.000
rs58952294 lBF = `6.46717` Chr`19` : `36,184,643`	0.713	0.287	0.000
rs73602806 lBF = `6.20853` Chr`19` : `36,168,646`	0.712	0.288	0.000
Affx-15892044 lBF = `7.1836` Chr`19` : `36,230,767`	0.712	0.288	0.000
rs6124878 lBF = `3.85459` Chr`20` : `45,497,723`	0.708	0.292	0.000
rs3933766 lBF = `120.737` Chr`13` : `20,110,195`	0.000	0.299	0.701
rs34026507 lBF = `10.4882` Chr`18` : `864,782`	0.700	0.300	0.000
rs17446324 lBF = `2.09498` Chr`7` : `83,157,804`	0.693	0.307	0.000
rs7865017 lBF = `5.62044` Chr`9` : `133,770,222`	0.000	0.307	0.693
rs2894196 lBF = `17.3657` Chr`6` : `31,230,111`	0.692	0.307	0.000
rs10819009 lBF = `6.78047` Chr`9` : `98,367,811`	0.691	0.309	0.000
rs9368666 lBF = `20.5229` Chr`6` : `31,229,644`	0.688	0.312	0.000
rs13085381 lBF = `10.9304` Chr`3` : `145,972,179`	0.687	0.313	0.000
rs72683295 lBF = `19.6099` Chr`1` : `103,466,407`	0.684	0.316	0.000
rs76558737 lBF = `11.0862` Chr`18` : `19,432,268`	0.684	0.316	0.000
rs3828380 lBF = `11.1618` Chr`3` : `145,923,751`	0.682	0.318	0.000
rs2744294 lBF = `25.957` Chr`6` : `25,296,606`	0.681	0.318	0.000
rs76951664 lBF = `8.83186` Chr`11` : `30,984,820`	0.680	0.320	0.000
rs17054265 lBF = `4.41443` Chr`9` : `91,260,562`	0.679	0.321	0.000
rs78730305 lBF = `9.92833` Chr`12` : `104,669,564`	0.679	0.321	0.000
rs115081579 lBF = `14.3442` Chr`3` : `178,513,059`	0.678	0.322	0.000
rs59541686 lBF = `7.3156` Chr`9` : `71,815,966`	0.676	0.324	0.000
rs111932090 lBF = `8.81436` Chr`3` : `155,268,658`	0.675	0.325	0.000
rs9391714 lBF = `31.1904` Chr`6` : `31,245,080`	0.673	0.327	0.000
rs9357121 lBF = `31.2249` Chr`6` : `31,240,479`	0.672	0.327	0.000
rs17198734 lBF = `28.2378` Chr`6` : `31,256,026`	0.672	0.328	0.000
rs118073826 lBF = `12.3534` Chr`11` : `85,459,170`	0.672	0.328	0.000
rs9918841 lBF = `16.249` Chr`8` : `91,193,959`	0.671	0.328	0.000
rs9380234 lBF = `27.1707` Chr`6` : `31,248,568`	0.671	0.329	0.000
rs1992284 lBF = `5.12033` Chr`2` : `43,065,555`	0.670	0.329	0.000
rs12135062 lBF = `5.99481` Chr`1` : `3,103,312`	0.669	0.331	0.000
rs9295984 lBF = `68.201` Chr`6` : `31,317,697`	0.669	0.331	0.000
rs12308914 lBF = `12.8877` Chr`12` : `104,633,842`	0.669	0.331	0.000
rs72649272 lBF = `12.7562` Chr`1` : `29,547,495`	0.668	0.331	0.000
rs219976 lBF = `9.00082` Chr`6` : `12,199,517`	0.667	0.333	0.000
rs9366775 lBF = `32.0035` Chr`6` : `31,240,096`	0.664	0.336	0.000
rs6926578 lBF = `6.33705` Chr`6` : `142,074,024`	0.663	0.337	0.000
rs1329530 lBF = `7.19577` Chr`6` : `120,182,610`	0.663	0.337	0.000
rs150021639 lBF = `15.8327` Chr`3` : `49,689,642`	0.662	0.338	0.000
rs17192386 lBF = `29.99` Chr`6` : `31,256,058`	0.662	0.338	0.000
rs2394967 lBF = `67.3079` Chr`6` : `31,269,129`	0.661	0.339	0.000
rs77955651 lBF = `12.6473` Chr`7` : `48,056,220`	0.661	0.339	0.000
rs12511037 lBF = `1.75425` Chr`4` : `75,334,864`	0.660	0.339	0.000
rs78593318 lBF = `12.9921` Chr`9` : `2,491,638`	0.660	0.340	0.000
rs12085650 lBF = `5.18612` Chr`1` : `31,490,096`	0.000	0.340	0.660
rs9394047 lBF = `14.8238` Chr`6` : `31,236,250`	0.659	0.340	0.000
rs9374842 lBF = `7.02448` Chr`6` : `120,185,665`	0.000	0.341	0.658
rs2134039 lBF = `6.11532` Chr`12` : `101,928,424`	0.658	0.342	0.000
rs72920755 lBF = `9.73099` Chr`2` : `55,993,809`	0.658	0.342	0.000
rs73040424 lBF = `7.46879` Chr`12` : `5,665,454`	0.657	0.343	0.000
rs362885 lBF = `8.91981` Chr`6` : `146,676,552`	0.657	0.343	0.000
rs4523128 lBF = `67.5153` Chr`6` : `31,269,382`	0.656	0.344	0.000
rs7907629 lBF = `11.4244` Chr`10` : `105,549,440`	0.654	0.346	0.000
rs9300286 lBF = `6.33079` Chr`12` : `128,617,839`	0.654	0.346	0.000
rs116332762 lBF = `17.3941` Chr`2` : `108,184,621`	0.653	0.347	0.000
rs116080128 lBF = `12.1963` Chr`4` : `31,457,995`	0.653	0.347	0.000
rs116144413 lBF = `13.7612` Chr`4` : `946,403`	0.652	0.348	0.000
rs4863692 lBF = `1.39027` Chr`4` : `140,764,124`	0.652	0.348	0.000
rs71519872 lBF = `7.54418` Chr`8` : `2,302,138`	0.647	0.352	0.000
rs115818338 lBF = `12.7588` Chr`5` : `151,963,928`	0.646	0.353	0.000
rs12646291 lBF = `9.83219` Chr`4` : `910,875`	0.646	0.354	0.000
rs78745584 lBF = `13.2553` Chr`11` : `97,029,941`	0.646	0.354	0.000
rs79263266 lBF = `11.9991` Chr`1` : `39,630,310`	0.646	0.354	0.000
rs78687901 lBF = `17.8934` Chr`3` : `173,074,141`	0.645	0.355	0.000
rs66502377 lBF = `5.79886` Chr`8` : `2,294,390`	0.645	0.355	0.000
rs116044577 lBF = `12.8773` Chr`3` : `173,023,621`	0.644	0.356	0.000
rs77711036 lBF = `6.2686` Chr`3` : `187,321,533`	0.644	0.356	0.000
rs114963023 lBF = `14.7315` Chr`6` : `31,199,645`	0.643	0.357	0.000
rs11985641 lBF = `11.8964` Chr`8` : `2,281,867`	0.641	0.359	0.000
rs114167782 lBF = `8.41965` Chr`7` : `116,939,287`	0.640	0.360	0.000
rs4942278 lBF = `11.2944` Chr`13` : `44,681,950`	0.640	0.360	0.000
rs143474708 lBF = `25.2204` Chr`4` : `17,181,751`	0.640	0.360	0.000
rs45585732 lBF = `23.7699` Chr`6` : `29,910,549`	0.639	0.361	0.000
rs115604765 lBF = `12.8648` Chr`5` : `151,393,653`	0.639	0.361	0.000
rs76123431 lBF = `7.56428` Chr`1` : `46,357,802`	0.639	0.361	0.000
rs118020484 lBF = `8.51253` Chr`15` : `56,818,990`	0.638	0.362	0.000
rs77345130 lBF = `9.73262` Chr`3` : `163,126,687`	0.637	0.363	0.000
rs7776443 lBF = `13.7836` Chr`6` : `114,404,959`	0.637	0.363	0.000
rs115999992 lBF = `81.6793` Chr`6` : `31,348,987`	0.637	0.363	0.000
rs114751866 lBF = `13.8639` Chr`6` : `31,210,018`	0.637	0.363	0.000
rs1326862 lBF = `13.0902` Chr`20` : `52,198,967`	0.637	0.363	0.000
rs72772859 lBF = `13.2083` Chr`10` : `430,105`	0.636	0.364	0.000
rs17212303 lBF = `4.19798` Chr`4` : `182,571,619`	0.635	0.364	0.000
rs114419204 lBF = `14.4286` Chr`13` : `95,041,266`	0.635	0.365	0.000
rs62532816 lBF = `24.7031` Chr`8` : `132,554,452`	0.635	0.365	0.000
rs72988842 lBF = `15.8412` Chr`11` : `98,345,840`	0.634	0.365	0.000
rs12867435 lBF = `19.0079` Chr`13` : `76,828,392`	0.633	0.367	0.000
rs73198922 lBF = `7.10026` Chr`8` : `10,958,663`	0.632	0.368	0.000
rs479798 lBF = `14.5952` Chr`8` : `29,112,073`	0.630	0.370	0.000
rs116234817 lBF = `75.2455` Chr`6` : `31,321,364`	0.630	0.370	0.000
rs28408478 lBF = `12.072` Chr`1` : `19,287,138`	0.629	0.371	0.000
rs7086803 lBF = `2.66982` Chr`10` : `114,498,476`	0.629	0.371	0.000
rs12154208 lBF = `12.2952` Chr`6` : `156,713,891`	0.629	0.371	0.000
rs117089640 lBF = `23.0292` Chr`12` : `125,048,557`	0.628	0.372	0.000
rs148763909 lBF = `3.88471` Chr`5` : `153,837,106`	0.627	0.373	0.000
rs12403995 lBF = `6.45074` Chr`1` : `221,921,377`	0.627	0.373	0.000
rs117811601 lBF = `12.5145` Chr`13` : `109,010,696`	0.626	0.374	0.000
rs114573401 lBF = `14.1938` Chr`6` : `31,192,383`	0.626	0.374	0.000
rs10494913 lBF = `13.2918` Chr`1` : `209,114,268`	0.626	0.374	0.000
rs115631386 lBF = `14.487` Chr`5` : `2,714,838`	0.626	0.374	0.000
rs74912350 lBF = `10.4081` Chr`8` : `96,035,756`	0.626	0.374	0.000
rs76976907 lBF = `8.94995` Chr`22` : `48,387,302`	0.624	0.376	0.000
Affx-20583135 lBF = `9.49321` Chr`2` : `82,456,396`	0.000	0.376	0.624
rs13198903 lBF = `81.2939` Chr`6` : `31,344,157`	0.624	0.376	0.000
rs185543003 lBF = `13.0544` Chr`19` : `2,714,170`	0.623	0.377	0.000
rs74726954 lBF = `15.8186` Chr`5` : `88,738,190`	0.623	0.377	0.000
rs34641959 lBF = `19.1716` Chr`16` : `85,568,804`	0.623	0.377	0.000
rs76024631 lBF = `30.2245` Chr`6` : `32,088,988`	0.622	0.377	0.000
rs80327898 lBF = `16.9494` Chr`1` : `83,359,635`	0.621	0.378	0.000
rs4698169 lBF = `4.23782` Chr`4` : `17,135,343`	0.621	0.378	0.000
rs138440701 lBF = `15.2454` Chr`2` : `113,783,743`	0.621	0.379	0.000
rs61907580 lBF = `11.682` Chr`11` : `126,979,429`	0.621	0.379	0.000
rs149578545 lBF = `13.004` Chr`6` : `33,923,324`	0.621	0.379	0.000
rs10511052 lBF = `1.92327` Chr`3` : `76,725,903`	0.620	0.379	0.000
rs12500058 lBF = `14.5733` Chr`4` : `94,281,087`	0.619	0.381	0.000
rs486743 lBF = `12.5321` Chr`18` : `12,505,089`	0.619	0.381	0.000
rs76061879 lBF = `12.1608` Chr`7` : `50,902,861`	0.619	0.381	0.000
rs17200414 lBF = `82.2581` Chr`6` : `31,417,136`	0.618	0.382	0.000
rs17278117 lBF = `2.74174` Chr`4` : `182,568,250`	0.617	0.383	0.000
rs79962977 lBF = `17.5516` Chr`3` : `177,306,170`	0.617	0.383	0.000
rs12743802 lBF = `12.0493` Chr`1` : `75,458,806`	0.617	0.383	0.000
rs72655652 lBF = `20.5631` Chr`15` : `92,647,684`	0.616	0.383	0.000
rs75411983 lBF = `7.67071` Chr`3` : `110,149,585`	0.616	0.384	0.000
rs7001413 lBF = `5.40312` Chr`8` : `75,010,233`	0.616	0.384	0.000
rs6463768 lBF = `1.85242` Chr`7` : `8,157,887`	0.616	0.384	0.000
rs116740811 lBF = `5.20808` Chr`3` : `76,718,625`	0.615	0.385	0.000
rs71370433 lBF = `1.56699` Chr`17` : `6,197,824`	0.615	0.385	0.000
rs72805156 lBF = `15.3888` Chr`16` : `85,887,242`	0.615	0.385	0.000
rs6684514 lBF = `2.53209` Chr`1` : `156,255,456`	0.000	0.386	0.614
rs114262607 lBF = `31.3906` Chr`1` : `102,915,381`	0.614	0.386	0.000
rs12791469 lBF = `13.6464` Chr`11` : `134,825,794`	0.613	0.387	0.000
rs17427887 lBF = `34.4627` Chr`6` : `32,679,107`	0.613	0.387	0.000
rs17075816 lBF = `11.6996` Chr`6` : `114,376,866`	0.613	0.387	0.000
rs36080042 lBF = `7.12997` Chr`10` : `65,426,785`	0.611	0.389	0.000
rs78653070 lBF = `24.647` Chr`13` : `104,713,852`	0.611	0.389	0.000
rs76214282 lBF = `12.0701` Chr`4` : `147,802,635`	0.610	0.390	0.000
rs193031333 lBF = `7.91451` Chr`16` : `79,189,810`	0.610	0.390	0.000
rs17207986 lBF = `30.3956` Chr`6` : `32,079,567`	0.609	0.390	0.000
rs75285952 lBF = `1.61462` Chr`4` : `27,904,556`	0.609	0.391	0.000
rs79581221 lBF = `9.13228` Chr`5` : `81,379,394`	0.609	0.391	0.000
rs13202464 lBF = `83.2155` Chr`6` : `31,344,583`	0.609	0.391	0.000
rs114561626 lBF = `19.183` Chr`3` : `44,188,954`	0.609	0.391	0.000
rs72681282 lBF = `17.294` Chr`1` : `103,221,787`	0.607	0.393	0.000
rs111863112 lBF = `18.891` Chr`3` : `46,449,863`	0.607	0.393	0.000
rs4921542 lBF = `5.71395` Chr`8` : `17,205,577`	0.606	0.394	0.000
rs73388874 lBF = `13.8676` Chr`11` : `4,697,262`	0.605	0.394	0.000
rs73271426 lBF = `11.5943` Chr`7` : `13,645,098`	0.605	0.394	0.000
rs75722873 lBF = `14.839` Chr`4` : `14,811,981`	0.605	0.395	0.000
rs114897391 lBF = `14.311` Chr`15` : `96,065,019`	0.605	0.395	0.000
rs78346601 lBF = `13.2849` Chr`18` : `54,574,972`	0.605	0.395	0.000
rs114517646 lBF = `10.2252` Chr`1` : `76,033,729`	0.605	0.395	0.000
rs112473686 lBF = `9.94576` Chr`1` : `106,514,329`	0.605	0.395	0.000
rs116255593 lBF = `80.2296` Chr`6` : `31,412,447`	0.604	0.396	0.000
rs72952568 lBF = `24.7996` Chr`6` : `114,493,211`	0.604	0.396	0.000
rs7964407 lBF = `0.858826` Chr`12` : `28,192,989`	0.000	0.396	0.604
rs73556638 lBF = `15.5477` Chr`9` : `139,034,164`	0.604	0.396	0.000
rs1431856 lBF = `19.4581` Chr`10` : `92,797,757`	0.604	0.396	0.000
rs117413168 lBF = `15.6145` Chr`6` : `126,759,473`	0.604	0.396	0.000
rs35632171 lBF = `10.0741` Chr`10` : `65,109,502`	0.604	0.396	0.000
rs76966440 lBF = `14.1937` Chr`19` : `10,797,763`	0.603	0.397	0.000
rs112673116 lBF = `15.2275` Chr`2` : `171,242,804`	0.603	0.397	0.000
rs114848727 lBF = `32.9543` Chr`6` : `58,744,020`	0.602	0.398	0.000
rs138117236 lBF = `16.8457` Chr`15` : `83,309,422`	0.602	0.398	0.000
rs75789659 lBF = `7.03095` Chr`1` : `77,800,005`	0.601	0.398	0.000
rs9439462 lBF = `12.5813` Chr`1` : `1,462,766`	0.601	0.398	0.000
rs75198306 lBF = `12.1179` Chr`5` : `149,642,229`	0.601	0.399	0.000
rs80301223 lBF = `12.0195` Chr`8` : `119,648,160`	0.600	0.400	0.000
rs116983056 lBF = `21.567` Chr`20` : `36,880,899`	0.600	0.400	0.000
rs117792957 lBF = `22.6256` Chr`7` : `71,899,700`	0.600	0.400	0.000
rs34131676 lBF = `12.8525` Chr`13` : `37,668,379`	0.599	0.401	0.000
rs114969413 lBF = `34.4385` Chr`6` : `31,925,679`	0.599	0.401	0.000
rs75864858 lBF = `12.2329` Chr`9` : `20,141,558`	0.599	0.401	0.000
rs7810984 lBF = `11.2791` Chr`7` : `141,761,438`	0.000	0.401	0.599
rs117186005 lBF = `11.4684` Chr`7` : `50,242,992`	0.599	0.401	0.000
rs73147826 lBF = `14.8932` Chr`3` : `116,659,269`	0.599	0.401	0.000
rs3732064 lBF = `17.419` Chr`2` : `65,074,357`	0.598	0.402	0.000
rs76601328 lBF = `15.0502` Chr`5` : `71,077,144`	0.598	0.402	0.000
rs3997984 lBF = `89.8675` Chr`6` : `31,351,090`	0.597	0.403	0.000
rs55684811 lBF = `13.4343` Chr`10` : `7,041,621`	0.597	0.403	0.000
rs2282143 lBF = `124.222` Chr`6` : `160,557,643`	0.597	0.403	0.000
rs114423144 lBF = `13.6872` Chr`2` : `119,230,855`	0.596	0.403	0.000
rs76328823 lBF = `13.0322` Chr`5` : `68,061,720`	0.596	0.403	0.000
rs72874188 lBF = `30.4877` Chr`6` : `62,016,012`	0.596	0.404	0.000
rs2240066 lBF = `13.7416` Chr`6` : `31,114,335`	0.596	0.404	0.000
rs72668648 lBF = `13.4797` Chr`14` : `26,764,124`	0.596	0.404	0.000
rs72875818 lBF = `15.9254` Chr`6` : `62,043,183`	0.595	0.404	0.000
rs114291795 lBF = `78.0497` Chr`6` : `31,377,640`	0.594	0.405	0.000
rs34484155 lBF = `9.50363` Chr`21` : `30,598,750`	0.000	0.405	0.594
rs17072846 lBF = `6.35937` Chr`4` : `183,117,828`	0.594	0.405	0.000
rs77975668 lBF = `9.39881` Chr`7` : `23,049,393`	0.594	0.406	0.000
rs111561475 lBF = `1.31769` Chr`11` : `21,956,958`	0.594	0.406	0.000
rs116488202 lBF = `90.3694` Chr`6` : `31,344,916`	0.593	0.406	0.000
rs72877264 lBF = `29.5182` Chr`6` : `57,886,642`	0.593	0.407	0.000
rs35506702 lBF = `8.81167` Chr`10` : `65,045,865`	0.593	0.407	0.000
rs113285159 lBF = `5.01196` Chr`18` : `40,971,984`	0.593	0.407	0.000
rs12539417 lBF = `18.0477` Chr`7` : `135,720,705`	0.592	0.408	0.000
rs9533771 lBF = `9.60568` Chr`13` : `44,677,599`	0.592	0.408	0.000
rs73918213 lBF = `16.0519` Chr`19` : `897,171`	0.592	0.408	0.000
rs116876575 lBF = `16.1237` Chr`22` : `49,899,208`	0.591	0.409	0.000
rs78133126 lBF = `12.6154` Chr`17` : `16,345,753`	0.590	0.410	0.000
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rs57584581 lBF = `29.3193` Chr`4` : `185,951,230`	0.546	0.453	0.000
rs116766359 lBF = `84.5183` Chr`6` : `31,407,133`	0.546	0.454	0.000
rs118101200 lBF = `24.1388` Chr`13` : `60,119,682`	0.546	0.454	0.000
rs6650640 lBF = `11.0513` Chr`18` : `31,748,225`	0.546	0.454	0.000
rs115681000 lBF = `85.9973` Chr`6` : `31,388,386`	0.546	0.454	0.000
rs112088213 lBF = `13.0401` Chr`10` : `134,611,681`	0.546	0.454	0.000
rs60705247 lBF = `7.77481` Chr`18` : `54,741,103`	0.546	0.454	0.000
rs116363196 lBF = `73.8343` Chr`6` : `31,405,472`	0.545	0.455	0.000
rs72657827 lBF = `22.3443` Chr`1` : `23,392,108`	0.545	0.455	0.000
rs114998933 lBF = `19.8946` Chr`4` : `84,616,341`	0.545	0.455	0.000
rs72850953 lBF = `8.10331` Chr`11` : `1,771,871`	0.545	0.455	0.000
rs75579756 lBF = `14.6674` Chr`2` : `174,201,924`	0.545	0.455	0.000
rs143750764 lBF = `1.4386` Chr`4` : `106,934,057`	0.545	0.455	0.000
rs73389468 lBF = `14.594` Chr`10` : `134,295,815`	0.545	0.455	0.000
rs16966085 lBF = `5.66056` Chr`13` : `105,835,170`	0.545	0.455	0.000
rs74252946 lBF = `13.4758` Chr`17` : `10,125,196`	0.544	0.456	0.000
rs62128682 lBF = `22.6156` Chr`19` : `47,978,171`	0.544	0.456	0.000
rs112090150 lBF = `14.7051` Chr`22` : `46,270,236`	0.544	0.456	0.000
rs45505795 lBF = `15.9739` Chr`14` : `94,756,943`	0.544	0.456	0.000
rs6698528 lBF = `13.1015` Chr`1` : `193,503,444`	0.543	0.456	0.000
rs76938821 lBF = `8.96632` Chr`5` : `114,706,752`	0.543	0.457	0.000
rs79358413 lBF = `15.0607` Chr`1` : `31,519,638`	0.543	0.457	0.000
rs79811951 lBF = `11.8332` Chr`1` : `52,153,714`	0.542	0.458	0.000
rs78516619 lBF = `61.5791` Chr`1` : `168,889,373`	0.542	0.458	0.000
rs113040697 lBF = `28.1855` Chr`8` : `118,185,308`	0.542	0.458	0.000
rs77335750 lBF = `14.1372` Chr`21` : `37,579,120`	0.542	0.458	0.000
rs4388254 lBF = `6.9552` Chr`5` : `133,428,601`	0.542	0.458	0.000
rs12192967 lBF = `12.3006` Chr`6` : `62,885,492`	0.542	0.458	0.000
rs35292876 lBF = `4.20174` Chr`1` : `196,706,642`	0.542	0.458	0.000
rs76178988 lBF = `5.33366` Chr`8` : `10,785,942`	0.542	0.458	0.000
rs72841201 lBF = `12.2145` Chr`5` : `169,287,285`	0.541	0.458	0.000
rs73167621 lBF = `14.0409` Chr`3` : `162,484,638`	0.541	0.459	0.000
rs114846446 lBF = `9.16227` Chr`2` : `2,947,912`	0.541	0.459	0.000
rs11717635 lBF = `14.2382` Chr`3` : `65,469,748`	0.540	0.459	0.000
rs80132640 lBF = `11.0963` Chr`12` : `49,426,460`	0.540	0.459	0.000
rs4384548 lBF = `2.26682` Chr`14` : `96,645,143`	0.000	0.460	0.540
rs13394458 lBF = `5.68749` Chr`2` : `142,230,943`	0.540	0.460	0.000
rs114188741 lBF = `17.6434` Chr`4` : `136,403,342`	0.540	0.460	0.000
rs72686220 lBF = `11.9345` Chr`4` : `100,980,334`	0.539	0.460	0.000
rs72745400 lBF = `16.2767` Chr`1` : `217,672,512`	0.539	0.460	0.000
rs113218636 lBF = `16.5944` Chr`6` : `74,893,286`	0.539	0.460	0.000
rs117803799 lBF = `13.8032` Chr`15` : `59,431,200`	0.539	0.460	0.000
rs79156452 lBF = `15.6605` Chr`3` : `188,651,313`	0.539	0.461	0.000
rs112161290 lBF = `22.7791` Chr`7` : `37,129,797`	0.539	0.461	0.000
rs75842146 lBF = `12.2652` Chr`14` : `26,461,063`	0.538	0.461	0.000
rs72801595 lBF = `19.2579` Chr`10` : `70,718,527`	0.538	0.462	0.000
rs11652121 lBF = `15.4813` Chr`17` : `28,532,332`	0.538	0.462	0.000
rs74695365 lBF = `20.1023` Chr`6` : `33,991,692`	0.538	0.462	0.000
rs74122470 lBF = `16.4357` Chr`1` : `158,740,990`	0.538	0.462	0.000
rs138325697 lBF = `2.99756` Chr`1` : `194,689,514`	0.538	0.462	0.000
rs115720202 lBF = `18.7627` Chr`12` : `89,746,581`	0.537	0.462	0.000
rs6787231 lBF = `1.10831` Chr`3` : `20,957,810`	0.000	0.462	0.537
rs45533135 lBF = `73.6781` Chr`6` : `31,430,951`	0.537	0.463	0.000
rs56227635 lBF = `17.231` Chr`2` : `128,259,423`	0.537	0.463	0.000
rs34634894 lBF = `20.2004` Chr`9` : `82,652,022`	0.537	0.463	0.000
rs118175001 lBF = `26.7437` Chr`16` : `72,724,630`	0.537	0.463	0.000
rs6580622 lBF = `15.5075` Chr`12` : `47,936,778`	0.537	0.463	0.000
rs74343026 lBF = `6.74894` Chr`8` : `126,258,883`	0.537	0.463	0.000
rs114659777 lBF = `10.4967` Chr`5` : `146,011,408`	0.537	0.463	0.000
rs62208037 lBF = `5.56284` Chr`20` : `62,081,262`	0.000	0.463	0.537
rs41308401 lBF = `6.59762` Chr`1` : `150,938,877`	0.536	0.463	0.000
rs17219423 lBF = `19.3194` Chr`2` : `208,063,963`	0.536	0.464	0.000
rs10758732 lBF = `11.2727` Chr`9` : `5,991,772`	0.536	0.464	0.000
rs116986691 lBF = `22.3468` Chr`10` : `87,698,378`	0.536	0.464	0.000
rs6682594 lBF = `11.603` Chr`1` : `241,105,471`	0.536	0.464	0.000
rs2229593 lBF = `12.4833` Chr`3` : `42,906,216`	0.535	0.465	0.000
rs117571560 lBF = `14.6503` Chr`9` : `76,169,871`	0.534	0.465	0.000
rs17231595 lBF = `11.4264` Chr`10` : `68,724,763`	0.534	0.465	0.000
rs80125857 lBF = `26.9524` Chr`2` : `175,108,663`	0.534	0.465	0.000
rs1387718 lBF = `16.5681` Chr`13` : `64,444,995`	0.534	0.466	0.000
rs76610801 lBF = `26.3212` Chr`4` : `185,937,527`	0.534	0.466	0.000
rs73180559 lBF = `24.7935` Chr`7` : `82,760,550`	0.534	0.466	0.000
rs76108901 lBF = `3.98207` Chr`7` : `117,674,806`	0.534	0.466	0.000
rs7407664 lBF = `3.38586` Chr`18` : `9,031,719`	0.534	0.466	0.000
rs11608709 lBF = `15.4681` Chr`12` : `99,302,859`	0.534	0.466	0.000
rs6971778 lBF = `18.3704` Chr`7` : `10,290,706`	0.534	0.466	0.000
rs75626916 lBF = `11.7941` Chr`12` : `108,663,870`	0.533	0.466	0.000
rs117604355 lBF = `8.1344` Chr`16` : `82,276,031`	0.533	0.466	0.000
rs1805128 lBF = `7.21284` Chr`21` : `35,821,680`	0.533	0.466	0.000
rs113123495 lBF = `7.90763` Chr`19` : `5,587,540`	0.533	0.467	0.000
rs149872224 lBF = `17.5873` Chr`10` : `19,786,378`	0.533	0.467	0.000
rs114987466 lBF = `13.887` Chr`1` : `21,632,046`	0.533	0.467	0.000
rs6576557 lBF = `17.711` Chr`15` : `26,540,811`	0.533	0.467	0.000
rs12566545 lBF = `5.07567` Chr`1` : `31,556,264`	0.000	0.467	0.533
rs74595671 lBF = `6.95219` Chr`2` : `159,403,054`	0.532	0.468	0.000
rs74203920 lBF = `13.9618` Chr`21` : `45,714,294`	0.532	0.468	0.000
rs73167108 lBF = `11.234` Chr`3` : `166,673,121`	0.531	0.468	0.000
rs73050577 lBF = `29.1953` Chr`3` : `23,853,409`	0.531	0.468	0.000
rs76444916 lBF = `7.67221` Chr`4` : `179,708,829`	0.531	0.469	0.000
rs78798473 lBF = `19.9784` Chr`4` : `1,669,252`	0.531	0.469	0.000
rs34218224 lBF = `7.72324` Chr`2` : `86,329,987`	0.531	0.469	0.000
rs72756269 lBF = `20.6952` Chr`9` : `119,147,710`	0.531	0.469	0.000
rs61743415 lBF = `16.7694` Chr`18` : `44,559,844`	0.531	0.469	0.000
rs114333031 lBF = `14.2987` Chr`4` : `54,774,510`	0.530	0.470	0.000
rs73155884 lBF = `15.0763` Chr`3` : `162,109,264`	0.530	0.470	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

0.7158

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.5519

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.7169

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.7169

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.7169

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.7169

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7169

Cluster X0195

log Bayes Factor = 167.337

contains 13 variants

0.7168

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.7163

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.7163

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.7162

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.7160

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.7158

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.7157

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.7156

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.7155

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.7154

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.7153

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.7153

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.7151

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.7151

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.7150

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.7147

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7146

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.7141

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.7141

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.7138

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.7134

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.7134

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.7126

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.7124

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.7120

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.7115

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.7112

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.7108

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.7104

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.7103

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.7101

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.7089

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.7088

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.7086

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7064

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.7052

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.7052

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.7046

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.7045

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.7030

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.7021

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.7020

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.7019

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.7017

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.7002

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.6986

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.6979

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.6973

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.6964

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.6956

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.6944

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.6936

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.6895

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.6889

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.6886

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.6884

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.6882

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.6871

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.6858

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.6847

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.6836

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.6824

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.6820

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.6813

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.6804

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.6799

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.6794

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.6790

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.6752

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.6748

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.6740

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.6721

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.6717

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.6689

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.6667

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.6643

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.6638

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.6613

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.6558

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.6541

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.6452

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.6414

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.6408

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.6400

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.6377

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.6374

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.6363

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.6281

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.6273

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.6187

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.6134

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.5937

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.5927

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.5913

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.5882

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.5879

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.5850

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.5804

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.5783

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.5752

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.5721

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.5715

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.5710

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.5669

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.5602

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.5546

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.5482

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.5149

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.4927

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.4862

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.4829

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.4711

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.4703

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.4572

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.4380

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.4377

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.4374

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.4352

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.4199

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.4184

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.4005

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.3872

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.3787

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.3763

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.3548

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.3460

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.3124

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.3026

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.3013

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.2954

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.2899

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.2664

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.2611

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.2487

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.2429

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.2306

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.2102

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.2085

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.1946

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.1472

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.1467

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.1391

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.1317

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.1294

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.1224

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.1214

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.1207

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.1183

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.1063

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.1062

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.0916

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.0912

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.0696

Cluster X0116

log Bayes Factor = 12.7289

contains 3 variants

0.0680

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.0606

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.0549

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.0536

The TreeWAS Database is the result of research conducted at the Oxford Big Data Institute at the University of Oxford.

This research has been conducted using the UK Biobank Resource (application number 10625). This work uses data provided by patients and collected by the NHS as part of their care and support.

This research has been conducted with the support of the Wellcome Trust (100956/Z/13/Z and 090532/Z/09/Z and 100308/Z/12/Z), the Danish National Research Foundation, Takeda, the Medical Research Council (MC_UU_12010/3), the Oak Foundation (OCAY-15-520), the National Institute for Health Research (NIHR) Oxford Biomedical Research Centre (BRC), the Wellcome Trust/Royal Society (204290/Z/16/Z) and the Li Ka Shing Foundation.

Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

(posterior probability > 0.05)

(posterior probability > 0.05)

Diagnostic term associations

Hospitalization Episode Statistics (HES)

(posterior probability > 0.05)

(posterior probability > 0.05)

Hospitalization Episode Statistics (`HES`)