TreeWAS – [O62.2] Other uterine inertia

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
rs1329530 lBF = `7.19577` Chr`6` : `120,182,610`	0.958	0.042	0.000
rs9374842 lBF = `7.02448` Chr`6` : `120,185,665`	0.000	0.042	0.958
rs9608465 lBF = `8.83361` Chr`22` : `26,557,408`	0.935	0.065	0.000
rs1314913 lBF = `2.73209` Chr`14` : `68,699,594`	0.924	0.076	0.000
rs12085650 lBF = `5.18612` Chr`1` : `31,490,096`	0.000	0.083	0.917
rs1992284 lBF = `5.12033` Chr`2` : `43,065,555`	0.915	0.085	0.000
rs12566545 lBF = `5.07567` Chr`1` : `31,556,264`	0.000	0.089	0.911
rs36080042 lBF = `7.12997` Chr`10` : `65,426,785`	0.881	0.119	0.000
rs75789659 lBF = `7.03095` Chr`1` : `77,800,005`	0.876	0.124	0.000
rs75262317 lBF = `7.62584` Chr`6` : `16,992,933`	0.876	0.124	0.000
rs17256048 lBF = `12.0162` Chr`11` : `98,607,374`	0.869	0.131	0.000
rs6926578 lBF = `6.33705` Chr`6` : `142,074,024`	0.857	0.143	0.000
rs17412357 lBF = `6.22841` Chr`14` : `32,976,219`	0.855	0.145	0.000
rs117940740 lBF = `11.288` Chr`6` : `118,825,260`	0.848	0.152	0.000
rs79845597 lBF = `6.34669` Chr`8` : `10,319,327`	0.000	0.154	0.846
rs73155884 lBF = `15.0763` Chr`3` : `162,109,264`	0.838	0.162	0.000
rs35632171 lBF = `10.0741` Chr`10` : `65,109,502`	0.836	0.164	0.000
rs35506702 lBF = `8.81167` Chr`10` : `65,045,865`	0.833	0.167	0.000
rs2910756 lBF = `1.50337` Chr`5` : `37,860,074`	0.817	0.183	0.000
rs41291189 lBF = `5.43607` Chr`3` : `69,074,878`	0.803	0.197	0.000
rs151037173 lBF = `13.9074` Chr`20` : `3,089,900`	0.803	0.197	0.000
rs116900477 lBF = `12.2144` Chr`7` : `117,202,817`	0.802	0.198	0.000
rs75038438 lBF = `18.8448` Chr`14` : `60,996,166`	0.800	0.200	0.000
rs73167621 lBF = `14.0409` Chr`3` : `162,484,638`	0.799	0.201	0.000
rs11585842 lBF = `12.4024` Chr`1` : `245,841,531`	0.791	0.208	0.000
rs61919599 lBF = `9.83827` Chr`12` : `528,351`	0.790	0.210	0.000
rs12813285 lBF = `22.3499` Chr`12` : `68,206,219`	0.789	0.211	0.000
rs13199772 lBF = `176.085` Chr`6` : `27,834,085`	0.786	0.214	0.000
rs62532816 lBF = `24.7031` Chr`8` : `132,554,452`	0.784	0.216	0.000
rs116564764 lBF = `16.14` Chr`3` : `162,298,640`	0.779	0.221	0.000
rs7551672 lBF = `7.66104` Chr`1` : `237,262,184`	0.779	0.221	0.000
rs13207082 lBF = `171.541` Chr`6` : `27,251,379`	0.777	0.223	0.000
rs13194781 lBF = `178.016` Chr`6` : `27,815,639`	0.768	0.232	0.000
rs78730305 lBF = `9.92833` Chr`12` : `104,669,564`	0.766	0.234	0.000
rs117559199 lBF = `8.42044` Chr`12` : `75,424,551`	0.763	0.237	0.000
rs354157 lBF = `8.30182` Chr`1` : `49,678,990`	0.762	0.238	0.000
rs72824489 lBF = `21.2308` Chr`10` : `98,525,587`	0.761	0.239	0.000
rs116769767 lBF = `14.8117` Chr`3` : `79,651,529`	0.753	0.247	0.000
rs112588716 lBF = `10.293` Chr`19` : `48,119,266`	0.750	0.250	0.000
rs57697678 lBF = `5.12408` Chr`7` : `149,375,247`	0.747	0.253	0.000
rs3933766 lBF = `120.737` Chr`13` : `20,110,195`	0.000	0.261	0.739
rs75522355 lBF = `12.1753` Chr`16` : `6,640,457`	0.729	0.271	0.000
rs57083132 lBF = `7.71528` Chr`6` : `82,762,197`	0.727	0.273	0.000
rs75341196 lBF = `12.5825` Chr`5` : `110,919,007`	0.727	0.273	0.000
rs73388874 lBF = `13.8676` Chr`11` : `4,697,262`	0.725	0.275	0.000
rs79581221 lBF = `9.13228` Chr`5` : `81,379,394`	0.723	0.277	0.000
rs11841026 lBF = `12.9537` Chr`13` : `21,013,176`	0.723	0.277	0.000
rs78046234 lBF = `9.70863` Chr`3` : `149,328,575`	0.721	0.279	0.000
rs4942278 lBF = `11.2944` Chr`13` : `44,681,950`	0.721	0.279	0.000
rs77382928 lBF = `9.24275` Chr`1` : `49,988,835`	0.721	0.279	0.000
rs13200797 lBF = `98.3608` Chr`6` : `26,122,957`	0.721	0.279	0.000
rs34218224 lBF = `7.72324` Chr`2` : `86,329,987`	0.720	0.280	0.000
rs76108901 lBF = `3.98207` Chr`7` : `117,674,806`	0.720	0.280	0.000
rs114414817 lBF = `16.8696` Chr`5` : `144,809,230`	0.719	0.281	0.000
rs79903598 lBF = `14.3577` Chr`1` : `192,406,817`	0.719	0.281	0.000
rs12308914 lBF = `12.8877` Chr`12` : `104,633,842`	0.717	0.283	0.000
rs78807522 lBF = `10.1919` Chr`3` : `49,056,150`	0.714	0.286	0.000
rs12136606 lBF = `19.0454` Chr`1` : `15,741,403`	0.713	0.287	0.000
rs115683773 lBF = `1.99043` Chr`4` : `175,125,429`	0.712	0.288	0.000
rs193031333 lBF = `7.91451` Chr`16` : `79,189,810`	0.711	0.289	0.000
rs2286313 lBF = `1.86051` Chr`14` : `71,514,163`	0.710	0.290	0.000
rs11957407 lBF = `3.85379` Chr`5` : `31,917,242`	0.709	0.291	0.000
rs115631386 lBF = `14.487` Chr`5` : `2,714,838`	0.709	0.291	0.000
rs76637322 lBF = `10.6201` Chr`18` : `31,667,339`	0.709	0.291	0.000
rs143046984 lBF = `1.68613` Chr`14` : `71,404,246`	0.705	0.295	0.000
rs75056204 lBF = `8.7084` Chr`9` : `76,174,850`	0.705	0.295	0.000
rs117863381 lBF = `15.4135` Chr`9` : `82,517,509`	0.703	0.297	0.000
rs115154496 lBF = `15.2955` Chr`4` : `153,661,060`	0.702	0.298	0.000
rs114897391 lBF = `14.311` Chr`15` : `96,065,019`	0.702	0.298	0.000
rs116780164 lBF = `15.0871` Chr`4` : `15,084,981`	0.700	0.300	0.000
rs2664035 lBF = `0.661831` Chr`4` : `48,220,839`	0.700	0.300	0.000
rs78789724 lBF = `20.4177` Chr`2` : `201,459,445`	0.700	0.300	0.000
rs17231595 lBF = `11.4264` Chr`10` : `68,724,763`	0.699	0.301	0.000
rs114041233 lBF = `5.60402` Chr`1` : `14,605,530`	0.698	0.302	0.000
rs79263266 lBF = `11.9991` Chr`1` : `39,630,310`	0.697	0.303	0.000
rs75213074 lBF = `1.24058` Chr`17` : `5,612,640`	0.697	0.303	0.000
rs12192967 lBF = `12.3006` Chr`6` : `62,885,492`	0.696	0.304	0.000
rs140959648 lBF = `22.6332` Chr`18` : `59,005,176`	0.695	0.305	0.000
rs11595238 lBF = `2.87726` Chr`10` : `101,930,409`	0.695	0.305	0.000
rs78820411 lBF = `24.1897` Chr`15` : `26,478,903`	0.694	0.306	0.000
rs75867155 lBF = `6.99353` Chr`2` : `8,029,114`	0.693	0.307	0.000
rs72683295 lBF = `19.6099` Chr`1` : `103,466,407`	0.692	0.308	0.000
rs116983056 lBF = `21.567` Chr`20` : `36,880,899`	0.692	0.308	0.000
rs55834529 lBF = `176.219` Chr`6` : `27,072,542`	0.691	0.309	0.000
rs80301223 lBF = `12.0195` Chr`8` : `119,648,160`	0.690	0.310	0.000
rs362885 lBF = `8.91981` Chr`6` : `146,676,552`	0.690	0.310	0.000
rs74088517 lBF = `6.49283` Chr`14` : `97,195,171`	0.690	0.310	0.000
rs73082331 lBF = `8.96863` Chr`3` : `48,994,943`	0.689	0.311	0.000
rs12492992 lBF = `6.38992` Chr`3` : `196,883,562`	0.688	0.312	0.000
rs13196552 lBF = `92.1189` Chr`6` : `25,974,204`	0.688	0.312	0.000
rs11542187 lBF = `16.6935` Chr`19` : `7,992,976`	0.687	0.313	0.000
rs117822702 lBF = `13.8577` Chr`14` : `60,403,097`	0.686	0.314	0.000
rs114659777 lBF = `10.4967` Chr`5` : `146,011,408`	0.685	0.315	0.000
rs74907094 lBF = `13.9899` Chr`18` : `60,886,937`	0.684	0.316	0.000
rs114848727 lBF = `32.9543` Chr`6` : `58,744,020`	0.683	0.317	0.000
rs148763909 lBF = `3.88471` Chr`5` : `153,837,106`	0.682	0.318	0.000
rs57551647 lBF = `6.18396` Chr`12` : `85,602,577`	0.682	0.318	0.000
rs77427150 lBF = `13.5234` Chr`9` : `101,239,130`	0.681	0.319	0.000
rs75891606 lBF = `16.6189` Chr`6` : `502,106`	0.680	0.320	0.000
rs45509595 lBF = `186.765` Chr`6` : `27,840,926`	0.680	0.320	0.000
rs75435968 lBF = `11.9878` Chr`7` : `137,152,383`	0.678	0.322	0.000
rs79837333 lBF = `19.6803` Chr`5` : `80,512,632`	0.678	0.322	0.000
rs117066666 lBF = `16.3713` Chr`13` : `104,588,913`	0.678	0.322	0.000
rs11601906 lBF = `0.741712` Chr`11` : `131,325,246`	0.678	0.322	0.000
rs3736995 lBF = `2.66976` Chr`13` : `26,923,565`	0.677	0.323	0.000
rs3828380 lBF = `11.1618` Chr`3` : `145,923,751`	0.677	0.323	0.000
rs12500058 lBF = `14.5733` Chr`4` : `94,281,087`	0.677	0.323	0.000
rs152784 lBF = `14.4221` Chr`5` : `132,772,431`	0.675	0.325	0.000
rs75355801 lBF = `8.34629` Chr`1` : `50,185,751`	0.674	0.326	0.000
rs34856868 lBF = `6.11916` Chr`1` : `92,554,283`	0.672	0.328	0.000
rs111550474 lBF = `9.97502` Chr`6` : `1,977,205`	0.671	0.329	0.000
rs76719755 lBF = `19.161` Chr`18` : `66,910,435`	0.670	0.330	0.000
rs34706883 lBF = `177.646` Chr`6` : `27,805,255`	0.670	0.330	0.000
rs7756047 lBF = `8.51794` Chr`6` : `100,626,847`	0.670	0.330	0.000
rs72877264 lBF = `29.5182` Chr`6` : `57,886,642`	0.669	0.331	0.000
rs116428066 lBF = `13.3167` Chr`6` : `9,983,924`	0.666	0.333	0.000
rs115457615 lBF = `15.9194` Chr`2` : `168,583,240`	0.666	0.334	0.000
rs76610801 lBF = `26.3212` Chr`4` : `185,937,527`	0.666	0.334	0.000
rs75036812 lBF = `31.3953` Chr`20` : `48,915,715`	0.665	0.335	0.000
rs12511037 lBF = `1.75425` Chr`4` : `75,334,864`	0.664	0.336	0.000
rs16891235 lBF = `94.1744` Chr`6` : `26,017,542`	0.663	0.337	0.000
rs10484621 lBF = `16.1593` Chr`6` : `62,686,818`	0.663	0.337	0.000
rs116447103 lBF = `10.8199` Chr`2` : `86,545,425`	0.662	0.338	0.000
rs113218636 lBF = `16.5944` Chr`6` : `74,893,286`	0.661	0.339	0.000
rs56113960 lBF = `17.1557` Chr`22` : `21,355,501`	0.660	0.340	0.000
rs77211134 lBF = `9.0942` Chr`3` : `30,366,119`	0.659	0.341	0.000
rs76558737 lBF = `11.0862` Chr`18` : `19,432,268`	0.659	0.341	0.000
rs13195040 lBF = `183.66` Chr`6` : `27,413,924`	0.657	0.343	0.000
rs9533771 lBF = `9.60568` Chr`13` : `44,677,599`	0.656	0.344	0.000
rs115594565 lBF = `14.4329` Chr`2` : `43,372,385`	0.656	0.344	0.000
rs17429847 lBF = `13.1629` Chr`4` : `16,735,814`	0.656	0.344	0.000
rs74566653 lBF = `14.3561` Chr`6` : `49,033,485`	0.656	0.344	0.000
rs74595671 lBF = `6.95219` Chr`2` : `159,403,054`	0.655	0.345	0.000
rs117792957 lBF = `22.6256` Chr`7` : `71,899,700`	0.654	0.346	0.000
rs58952294 lBF = `6.46717` Chr`19` : `36,184,643`	0.653	0.347	0.000
rs113123495 lBF = `7.90763` Chr`19` : `5,587,540`	0.651	0.349	0.000
rs10835606 lBF = `6.93759` Chr`11` : `30,004,238`	0.650	0.350	0.000
rs10484433 lBF = `93.7652` Chr`6` : `26,030,492`	0.650	0.350	0.000
rs75302082 lBF = `13.6236` Chr`11` : `19,684,290`	0.649	0.351	0.000
Affx-15892044 lBF = `7.1836` Chr`19` : `36,230,767`	0.649	0.351	0.000
rs72874188 lBF = `30.4877` Chr`6` : `62,016,012`	0.648	0.352	0.000
rs802568 lBF = `5.38114` Chr`7` : `145,959,243`	0.647	0.353	0.000
rs117254288 lBF = `12.3689` Chr`16` : `32,379,046`	0.000	0.355	0.645
rs72772859 lBF = `13.2083` Chr`10` : `430,105`	0.644	0.356	0.000
rs79978308 lBF = `2.78083` Chr`21` : `41,020,545`	0.643	0.357	0.000
rs6650640 lBF = `11.0513` Chr`18` : `31,748,225`	0.643	0.357	0.000
rs2267586 lBF = `8.83369` Chr`19` : `36,159,368`	0.641	0.359	0.000
rs2227278 lBF = `7.91754` Chr`19` : `36,206,050`	0.639	0.360	0.000
rs72983278 lBF = `6.95338` Chr`6` : `148,913,690`	0.639	0.360	0.000
rs2856656 lBF = `26.2331` Chr`11` : `47,373,425`	0.639	0.361	0.000
rs117929870 lBF = `16.9839` Chr`12` : `108,524,849`	0.639	0.361	0.000
rs114496068 lBF = `15.6666` Chr`6` : `49,705,603`	0.639	0.361	0.000
rs76178988 lBF = `5.33366` Chr`8` : `10,785,942`	0.638	0.362	0.000
rs79962977 lBF = `17.5516` Chr`3` : `177,306,170`	0.638	0.362	0.000
rs802571 lBF = `4.20999` Chr`7` : `145,962,186`	0.638	0.362	0.000
rs73599289 lBF = `8.85426` Chr`19` : `36,156,281`	0.638	0.362	0.000
rs117891146 lBF = `16.7401` Chr`17` : `77,212,307`	0.637	0.363	0.000
rs16970649 lBF = `5.96979` Chr`19` : `36,222,857`	0.637	0.363	0.000
rs147985248 lBF = `11.1689` Chr`17` : `61,615,545`	0.637	0.363	0.000
rs72681282 lBF = `17.294` Chr`1` : `103,221,787`	0.635	0.364	0.000
rs9451906 lBF = `28.3252` Chr`6` : `65,240,905`	0.634	0.366	0.000
rs114167782 lBF = `8.41965` Chr`7` : `116,939,287`	0.634	0.366	0.000
rs10185142 lBF = `0.485845` Chr`2` : `238,822,331`	0.632	0.368	0.000
rs117933286 lBF = `14.503` Chr`9` : `81,306,530`	0.632	0.368	0.000
rs9813389 lBF = `7.33298` Chr`3` : `131,837,290`	0.632	0.368	0.000
rs7778881 lBF = `12.4659` Chr`7` : `66,460,011`	0.632	0.368	0.000
rs112469508 lBF = `15.1969` Chr`7` : `153,176,649`	0.629	0.371	0.000
rs114058084 lBF = `14.6399` Chr`5` : `62,851,833`	0.628	0.371	0.000
rs77800959 lBF = `11.6926` Chr`20` : `51,357,796`	0.626	0.374	0.000
rs141216273 lBF = `13.268` Chr`2` : `25,599,172`	0.626	0.374	0.000
rs117320784 lBF = `13.3956` Chr`18` : `58,896,482`	0.626	0.374	0.000
rs114859313 lBF = `12.1981` Chr`5` : `163,379,668`	0.626	0.374	0.000
rs72780934 lBF = `15.1564` Chr`10` : `8,882,223`	0.625	0.375	0.000
rs62272723 lBF = `13.2782` Chr`3` : `151,963,160`	0.625	0.375	0.000
rs140529718 lBF = `2.47724` Chr`5` : `111,326,200`	0.623	0.376	0.000
rs76053268 lBF = `14.7595` Chr`7` : `101,478,402`	0.623	0.377	0.000
rs71482359 lBF = `16.8407` Chr`10` : `97,220,724`	0.623	0.377	0.000
rs115281334 lBF = `15.0554` Chr`4` : `78,595,878`	0.623	0.377	0.000
rs72655652 lBF = `20.5631` Chr`15` : `92,647,684`	0.622	0.377	0.000
rs78262206 lBF = `37.9756` Chr`1` : `31,792,220`	0.622	0.378	0.000
rs78745584 lBF = `13.2553` Chr`11` : `97,029,941`	0.621	0.379	0.000
rs78266345 lBF = `11.4849` Chr`10` : `58,390,087`	0.620	0.379	0.000
rs74122470 lBF = `16.4357` Chr`1` : `158,740,990`	0.620	0.380	0.000
rs114049903 lBF = `17.8634` Chr`2` : `8,107,832`	0.619	0.380	0.000
rs117951468 lBF = `7.18639` Chr`14` : `69,324,972`	0.619	0.381	0.000
rs117263911 lBF = `16.7712` Chr`14` : `30,929,126`	0.618	0.382	0.000
rs4384548 lBF = `2.26682` Chr`14` : `96,645,143`	0.000	0.382	0.618
rs17485667 lBF = `7.24574` Chr`9` : `131,768,191`	0.617	0.383	0.000
rs1229984 lBF = `29.775` Chr`4` : `100,239,319`	0.617	0.383	0.000
rs3731189 lBF = `12.1962` Chr`3` : `14,186,238`	0.617	0.383	0.000
rs111561475 lBF = `1.31769` Chr`11` : `21,956,958`	0.616	0.384	0.000
rs7907629 lBF = `11.4244` Chr`10` : `105,549,440`	0.616	0.384	0.000
rs113982416 lBF = `13.054` Chr`14` : `89,297,204`	0.615	0.384	0.000
rs117926607 lBF = `23.2066` Chr`8` : `55,468,849`	0.614	0.386	0.000
rs74651669 lBF = `14.1557` Chr`15` : `87,206,617`	0.614	0.386	0.000
rs2134039 lBF = `6.11532` Chr`12` : `101,928,424`	0.614	0.386	0.000
rs6953213 lBF = `1.55719` Chr`7` : `7,313,485`	0.613	0.387	0.000
rs138117236 lBF = `16.8457` Chr`15` : `83,309,422`	0.612	0.387	0.000
rs58280396 lBF = `16.5379` Chr`18` : `55,720,852`	0.612	0.388	0.000
rs57584581 lBF = `29.3193` Chr`4` : `185,951,230`	0.611	0.389	0.000
rs76309893 lBF = `21.1949` Chr`16` : `13,228,713`	0.611	0.389	0.000
rs4523128 lBF = `67.5153` Chr`6` : `31,269,382`	0.610	0.390	0.000
rs17719860 lBF = `5.58804` Chr`9` : `78,644,071`	0.610	0.390	0.000
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rs9978888 lBF = `8.12132` Chr`21` : `18,002,476`	0.537	0.463	0.000
rs2928402 lBF = `0.376166` Chr`10` : `50,018,165`	0.537	0.463	0.000
rs13137105 lBF = `0.796016` Chr`4` : `76,416,387`	0.000	0.463	0.537
rs9652781 lBF = `17.8088` Chr`16` : `195,391`	0.537	0.463	0.000
rs117010525 lBF = `14.7473` Chr`17` : `46,605,689`	0.537	0.463	0.000
rs117473873 lBF = `9.65269` Chr`15` : `53,024,679`	0.537	0.463	0.000
rs117703456 lBF = `19.1338` Chr`13` : `43,083,754`	0.536	0.464	0.000
rs56281909 lBF = `11.3432` Chr`9` : `4,418,821`	0.535	0.465	0.000
rs79918060 lBF = `17.5524` Chr`12` : `58,407,669`	0.535	0.465	0.000
rs72725317 lBF = `24.9449` Chr`1` : `102,996,034`	0.535	0.465	0.000
rs114561626 lBF = `19.183` Chr`3` : `44,188,954`	0.535	0.465	0.000
rs11155133 lBF = `6.4949` Chr`6` : `141,169,825`	0.535	0.465	0.000
rs116643857 lBF = `13.6545` Chr`1` : `66,256,127`	0.534	0.466	0.000
rs79839650 lBF = `14.028` Chr`13` : `52,019,665`	0.534	0.466	0.000
rs79791727 lBF = `11.6893` Chr`9` : `36,801,459`	0.534	0.466	0.000
rs116234817 lBF = `75.2455` Chr`6` : `31,321,364`	0.534	0.466	0.000
rs201564772 lBF = `17.1704` Chr`21` : `17,774,632`	0.534	0.466	0.000
rs10494067 lBF = `0.463963` Chr`1` : `107,830,858`	0.534	0.466	0.000
rs116740811 lBF = `5.20808` Chr`3` : `76,718,625`	0.534	0.466	0.000
rs76328823 lBF = `13.0322` Chr`5` : `68,061,720`	0.533	0.466	0.000
rs72745400 lBF = `16.2767` Chr`1` : `217,672,512`	0.533	0.466	0.000
rs114475062 lBF = `14.2174` Chr`6` : `31,127,745`	0.533	0.467	0.000
rs9549345 lBF = `11.7981` Chr`13` : `113,718,812`	0.533	0.467	0.000
rs61743415 lBF = `16.7694` Chr`18` : `44,559,844`	0.533	0.467	0.000
rs78346601 lBF = `13.2849` Chr`18` : `54,574,972`	0.533	0.467	0.000
rs72884766 lBF = `12.6675` Chr`6` : `63,869,257`	0.532	0.467	0.000
rs7810984 lBF = `11.2791` Chr`7` : `141,761,438`	0.000	0.468	0.532
rs17763089 lBF = `171.793` Chr`6` : `27,835,218`	0.532	0.468	0.000
rs35729753 lBF = `17.3029` Chr`12` : `66,672,379`	0.532	0.468	0.000
rs75193007 lBF = `15.0928` Chr`13` : `109,470,040`	0.532	0.468	0.000
rs118112796 lBF = `23.7546` Chr`18` : `76,442,139`	0.531	0.469	0.000
rs114741897 lBF = `24.5668` Chr`1` : `83,123,157`	0.530	0.470	0.000
rs75626916 lBF = `11.7941` Chr`12` : `108,663,870`	0.529	0.471	0.000
rs6682594 lBF = `11.603` Chr`1` : `241,105,471`	0.528	0.471	0.000
rs117631583 lBF = `15.1608` Chr`7` : `78,667,335`	0.528	0.472	0.000
rs73250776 lBF = `15.8949` Chr`4` : `23,408,210`	0.528	0.472	0.000
rs62239058 lBF = `15.647` Chr`22` : `32,643,460`	0.527	0.473	0.000
rs10124550 lBF = `1.03279` Chr`9` : `16,512,748`	0.526	0.473	0.000
rs13211507 lBF = `197.103` Chr`6` : `28,257,377`	0.526	0.474	0.000
rs72952568 lBF = `24.7996` Chr`6` : `114,493,211`	0.526	0.474	0.000
rs16998069 lBF = `3.34861` Chr`22` : `23,494,926`	0.526	0.474	0.000
rs74840965 lBF = `28.8326` Chr`7` : `39,677,916`	0.525	0.475	0.000
rs73009507 lBF = `20.7347` Chr`19` : `10,961,024`	0.524	0.475	0.000
rs78755596 lBF = `34.803` Chr`9` : `136,124,590`	0.524	0.476	0.000
rs114004994 lBF = `20.3162` Chr`6` : `32,138,617`	0.524	0.476	0.000
rs117593677 lBF = `14.7112` Chr`9` : `21,318,205`	0.523	0.476	0.000
rs75270276 lBF = `17.6361` Chr`6` : `168,552,585`	0.523	0.476	0.000
rs112671876 lBF = `6.46431` Chr`2` : `78,908,449`	0.523	0.477	0.000
rs72999187 lBF = `16.0305` Chr`6` : `149,148,901`	0.523	0.477	0.000
rs76338037 lBF = `17.1925` Chr`5` : `18,496,375`	0.523	0.477	0.000
rs7028529 lBF = `5.37797` Chr`9` : `79,228,042`	0.523	0.477	0.000
rs13212534 lBF = `117.616` Chr`6` : `25,983,010`	0.523	0.477	0.000
rs9918841 lBF = `16.249` Chr`8` : `91,193,959`	0.523	0.477	0.000
rs1910003 lBF = `1.03173` Chr`5` : `125,304,547`	0.522	0.478	0.000
rs116922703 lBF = `18.2926` Chr`6` : `166,242,408`	0.522	0.478	0.000
rs72874026 lBF = `19.9502` Chr`18` : `6,075,197`	0.522	0.478	0.000
rs72687020 lBF = `14.6249` Chr`14` : `44,923,657`	0.521	0.478	0.000
rs138315285 lBF = `8.90999` Chr`11` : `48,064,194`	0.521	0.478	0.000
rs80166972 lBF = `9.23193` Chr`4` : `172,193,847`	0.521	0.479	0.000
rs117367263 lBF = `7.30706` Chr`13` : `24,530,834`	0.521	0.479	0.000
rs150021639 lBF = `15.8327` Chr`3` : `49,689,642`	0.520	0.480	0.000
rs9295984 lBF = `68.201` Chr`6` : `31,317,697`	0.520	0.480	0.000
rs117571560 lBF = `14.6503` Chr`9` : `76,169,871`	0.520	0.480	0.000
rs7776443 lBF = `13.7836` Chr`6` : `114,404,959`	0.519	0.480	0.000
rs16893349 lBF = `16.5225` Chr`8` : `134,207,963`	0.520	0.480	0.000
rs958444 lBF = `7.97902` Chr`5` : `155,405,405`	0.519	0.481	0.000
rs116839510 lBF = `15.1511` Chr`2` : `192,466,150`	0.519	0.481	0.000
rs115999992 lBF = `81.6793` Chr`6` : `31,348,987`	0.519	0.481	0.000
rs11880316 lBF = `2.78694` Chr`19` : `31,911,129`	0.519	0.481	0.000
rs7985891 lBF = `5.716` Chr`13` : `93,879,031`	0.519	0.481	0.000
rs3172494 lBF = `6.58272` Chr`3` : `48,731,487`	0.519	0.481	0.000
rs73272823 lBF = `15.6671` Chr`14` : `66,292,820`	0.518	0.482	0.000
rs114321626 lBF = `12.3123` Chr`5` : `179,793,378`	0.518	0.482	0.000
rs3756407 lBF = `7.30388` Chr`5` : `10,701,514`	0.517	0.483	0.000
rs28667337 lBF = `14.7115` Chr`13` : `98,218,984`	0.516	0.483	0.000
rs73180559 lBF = `24.7935` Chr`7` : `82,760,550`	0.516	0.484	0.000
rs111932090 lBF = `8.81436` Chr`3` : `155,268,658`	0.516	0.484	0.000
rs59218290 lBF = `15.3723` Chr`11` : `131,807,633`	0.516	0.484	0.000
rs41270464 lBF = `20.6916` Chr`6` : `32,148,724`	0.516	0.484	0.000
rs2792760 lBF = `12.7806` Chr`10` : `113,850,024`	0.515	0.485	0.000
rs12867435 lBF = `19.0079` Chr`13` : `76,828,392`	0.515	0.485	0.000
rs17102257 lBF = `14.6206` Chr`12` : `54,126,061`	0.515	0.485	0.000
rs10102274 lBF = `0.521114` Chr`8` : `91,652,087`	0.514	0.486	0.000
rs138477082 lBF = `2.62368` Chr`12` : `103,796,611`	0.514	0.486	0.000
rs138440701 lBF = `15.2454` Chr`2` : `113,783,743`	0.514	0.486	0.000
rs117270429 lBF = `18.3316` Chr`21` : `38,124,803`	0.514	0.486	0.000
rs117259901 lBF = `14.326` Chr`20` : `14,679,824`	0.513	0.486	0.000
rs114423144 lBF = `13.6872` Chr`2` : `119,230,855`	0.513	0.486	0.000
rs111863112 lBF = `18.891` Chr`3` : `46,449,863`	0.513	0.486	0.000
rs80076601 lBF = `13.5975` Chr`20` : `24,148,686`	0.513	0.487	0.000
rs1387718 lBF = `16.5681` Chr`13` : `64,444,995`	0.513	0.487	0.000
rs73167108 lBF = `11.234` Chr`3` : `166,673,121`	0.513	0.487	0.000
rs73086940 lBF = `15.2945` Chr`20` : `10,871,255`	0.513	0.487	0.000
rs13085381 lBF = `10.9304` Chr`3` : `145,972,179`	0.513	0.487	0.000
rs79858930 lBF = `31.6188` Chr`10` : `83,047,434`	0.512	0.487	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

0.9904

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.6451

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0195

log Bayes Factor = 167.337

contains 13 variants

0.9975

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9970

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9857

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.9831

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.9829

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.9746

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.9745

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9589

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9496

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.9490

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9458

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.9420

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9370

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9367

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9229

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.9199

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9193

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.9161

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.9138

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.9127

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.9109

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.9085

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9059

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9027

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.8960

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.8828

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.8826

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.8800

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.8686

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.8628

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.8548

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.8536

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.8520

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.8469

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.8443

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.8432

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.8427

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.8247

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.8180

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.8007

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7997

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.7975

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7965

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.7941

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.7916

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.7884

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.7772

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.7695

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.7664

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.7609

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.7494

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.7222

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.7183

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.7160

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.7093

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.7015

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.6862

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.6859

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.6833

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.6828

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.6801

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.6782

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.6748

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.6743

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.6733

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.6688

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.6639

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.6608

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.6606

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.6577

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.6537

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.6411

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.6381

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.6342

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.6337

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.6296

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.6265

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.6234

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.6212

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.6201

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.6184

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.5926

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.5904

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.5886

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.5883

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.5857

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.5593

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.5549

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.5460

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.5413

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.5412

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.5290

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.5249

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.5138

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.5024

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.4982

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.4944

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.4776

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.4703

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.4691

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.4676

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.4665

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.4650

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.4581

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.4579

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.4456

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.4453

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.4366

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.4346

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.4307

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.4149

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.3923

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.3920

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.3898

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.3421

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.3333

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.3325

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.3274

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.3037

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.2875

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.2833

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.2800

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.2683

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.2665

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.2588

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.2571

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.2571

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.2319

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.2170

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.2154

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.2129

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.1916

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.1896

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.1789

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.1702

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.1537

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.1423

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.1346

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.1307

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.1301

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.1198

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.1093

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.1050

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.1018

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.0979

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.0979

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.0939

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.0930

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.0887

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.0743

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.0598

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.0579

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.0544

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.0523

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.0521

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`)