TreeWAS – [O14.9] Preeclampsia, 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
rs73592448 lBF = `7.09386` Chr`19` : `36,258,721`	0.863	0.137	0.000
rs35632171 lBF = `10.0741` Chr`10` : `65,109,502`	0.858	0.142	0.000
rs36080042 lBF = `7.12997` Chr`10` : `65,426,785`	0.856	0.144	0.000
rs73082331 lBF = `8.96863` Chr`3` : `48,994,943`	0.855	0.145	0.000
Affx-15892044 lBF = `7.1836` Chr`19` : `36,230,767`	0.848	0.152	0.000
rs17054265 lBF = `4.41443` Chr`9` : `91,260,562`	0.842	0.158	0.000
rs78687901 lBF = `17.8934` Chr`3` : `173,074,141`	0.837	0.163	0.000
rs17064 lBF = `12.5491` Chr`7` : `87,133,470`	0.831	0.169	0.000
rs73602806 lBF = `6.20853` Chr`19` : `36,168,646`	0.829	0.171	0.000
rs16970649 lBF = `5.96979` Chr`19` : `36,222,857`	0.829	0.171	0.000
rs35506702 lBF = `8.81167` Chr`10` : `65,045,865`	0.826	0.174	0.000
rs78807522 lBF = `10.1919` Chr`3` : `49,056,150`	0.824	0.176	0.000
rs79845597 lBF = `6.34669` Chr`8` : `10,319,327`	0.000	0.176	0.824
rs2227278 lBF = `7.91754` Chr`19` : `36,206,050`	0.820	0.180	0.000
rs11662510 lBF = `6.32011` Chr`18` : `77,276,440`	0.819	0.181	0.000
rs58952294 lBF = `6.46717` Chr`19` : `36,184,643`	0.818	0.182	0.000
rs77745943 lBF = `12.1624` Chr`9` : `99,034,907`	0.817	0.183	0.000
rs196586 lBF = `13.7618` Chr`7` : `36,320,821`	0.811	0.189	0.000
rs10515552 lBF = `7.77092` Chr`5` : `145,038,831`	0.800	0.200	0.000
rs28417927 lBF = `12.3757` Chr`18` : `58,226,910`	0.793	0.207	0.000
rs114187425 lBF = `13.4722` Chr`4` : `127,057,914`	0.779	0.221	0.000
rs115326449 lBF = `19.0223` Chr`6` : `63,544,853`	0.775	0.225	0.000
rs73599289 lBF = `8.85426` Chr`19` : `36,156,281`	0.775	0.225	0.000
rs2267586 lBF = `8.83369` Chr`19` : `36,159,368`	0.774	0.226	0.000
rs74088517 lBF = `6.49283` Chr`14` : `97,195,171`	0.774	0.226	0.000
rs10835606 lBF = `6.93759` Chr`11` : `30,004,238`	0.772	0.228	0.000
rs116998110 lBF = `13.3549` Chr`2` : `72,099,750`	0.766	0.234	0.000
rs77765535 lBF = `7.35154` Chr`4` : `99,530,638`	0.765	0.235	0.000
rs116580228 lBF = `10.6549` Chr`2` : `84,366,813`	0.765	0.235	0.000
rs34986024 lBF = `38.1993` Chr`6` : `64,667,005`	0.763	0.237	0.000
rs17242346 lBF = `9.05282` Chr`19` : `11,198,780`	0.760	0.240	0.000
rs80084511 lBF = `7.45888` Chr`22` : `36,704,700`	0.758	0.242	0.000
rs79253379 lBF = `17.0318` Chr`11` : `86,168,312`	0.754	0.246	0.000
rs73090154 lBF = `1.70548` Chr`3` : `59,280,504`	0.751	0.249	0.000
rs72983278 lBF = `6.95338` Chr`6` : `148,913,690`	0.751	0.249	0.000
rs12410444 lBF = `1.56248` Chr`1` : `44,188,719`	0.743	0.257	0.000
rs4349008 lBF = `7.91478` Chr`13` : `105,803,056`	0.741	0.259	0.000
rs2237897 lBF = `14.807` Chr`11` : `2,858,546`	0.739	0.261	0.000
rs354157 lBF = `8.30182` Chr`1` : `49,678,990`	0.737	0.263	0.000
rs16919333 lBF = `7.20476` Chr`9` : `103,452,327`	0.733	0.267	0.000
rs3172494 lBF = `6.58272` Chr`3` : `48,731,487`	0.731	0.269	0.000
rs35587409 lBF = `12.2827` Chr`12` : `100,841,306`	0.731	0.269	0.000
rs79446318 lBF = `8.77806` Chr`17` : `74,612,692`	0.730	0.270	0.000
rs12566545 lBF = `5.07567` Chr`1` : `31,556,264`	0.000	0.273	0.727
rs2413121 lBF = `7.58938` Chr`22` : `32,895,978`	0.725	0.275	0.000
Affx-23671264 lBF = `6.33533` Chr`4` : `154,094,220`	0.725	0.275	0.000
rs77759352 lBF = `23.6884` Chr`18` : `19,521,256`	0.721	0.279	0.000
rs3128935 lBF = `12.9734` Chr`6` : `32,972,404`	0.721	0.279	0.000
rs35426951 lBF = `19.3875` Chr`4` : `4,566,274`	0.719	0.281	0.000
rs183464 lBF = `15.6759` Chr`6` : `39,073,052`	0.718	0.282	0.000
rs62378043 lBF = `12.7136` Chr`5` : `117,199,683`	0.717	0.282	0.000
rs77657273 lBF = `15.1219` Chr`14` : `35,139,957`	0.714	0.286	0.000
rs75579756 lBF = `14.6674` Chr`2` : `174,201,924`	0.712	0.288	0.000
rs74252946 lBF = `13.4758` Chr`17` : `10,125,196`	0.711	0.289	0.000
rs12085650 lBF = `5.18612` Chr`1` : `31,490,096`	0.000	0.294	0.706
rs77711036 lBF = `6.2686` Chr`3` : `187,321,533`	0.705	0.295	0.000
rs76178988 lBF = `5.33366` Chr`8` : `10,785,942`	0.704	0.296	0.000
rs17887018 lBF = `17.3793` Chr`19` : `36,641,563`	0.703	0.297	0.000
rs117508732 lBF = `10.2984` Chr`15` : `67,824,170`	0.701	0.299	0.000
rs143954261 lBF = `3.1342` Chr`5` : `126,729,450`	0.700	0.300	0.000
rs117843447 lBF = `14.1413` Chr`17` : `20,921,845`	0.700	0.300	0.000
rs117344772 lBF = `17.1436` Chr`11` : `13,156,014`	0.699	0.301	0.000
rs75522355 lBF = `12.1753` Chr`16` : `6,640,457`	0.696	0.304	0.000
rs34131676 lBF = `12.8525` Chr`13` : `37,668,379`	0.691	0.309	0.000
rs117473458 lBF = `11.4108` Chr`14` : `38,261,632`	0.691	0.309	0.000
rs114419204 lBF = `14.4286` Chr`13` : `95,041,266`	0.688	0.312	0.000
rs34145779 lBF = `7.00229` Chr`13` : `89,636,306`	0.685	0.314	0.000
rs7536740 lBF = `11.7453` Chr`1` : `168,472,921`	0.684	0.316	0.000
rs41284366 lBF = `7.57409` Chr`10` : `118,187,444`	0.682	0.318	0.000
rs35638776 lBF = `33.5106` Chr`6` : `64,613,233`	0.681	0.319	0.000
rs7386241 lBF = `16.8881` Chr`8` : `139,240,856`	0.681	0.319	0.000
rs16968377 lBF = `9.38458` Chr`17` : `36,942,396`	0.679	0.321	0.000
rs72883103 lBF = `10.4164` Chr`17` : `74,629,898`	0.671	0.329	0.000
rs76157199 lBF = `10.0516` Chr`2` : `98,541,874`	0.669	0.331	0.000
rs1473500 lBF = `1.94868` Chr`6` : `168,511,016`	0.669	0.331	0.000
Affx-19135860 lBF = `11.016` Chr`2` : `220,045,902`	0.666	0.334	0.000
rs79661460 lBF = `14.8033` Chr`22` : `45,380,889`	0.665	0.335	0.000
rs79638442 lBF = `13.2792` Chr`5` : `66,180,409`	0.664	0.336	0.000
rs79508250 lBF = `6.08983` Chr`1` : `229,579,295`	0.660	0.340	0.000
rs75867155 lBF = `6.99353` Chr`2` : `8,029,114`	0.658	0.342	0.000
rs56269309 lBF = `12.8645` Chr`12` : `127,453,025`	0.656	0.344	0.000
rs170429 lBF = `12.1591` Chr`5` : `41,294,802`	0.653	0.347	0.000
rs78775229 lBF = `15.1154` Chr`18` : `36,175,363`	0.653	0.347	0.000
rs12135062 lBF = `5.99481` Chr`1` : `3,103,312`	0.651	0.349	0.000
rs9439462 lBF = `12.5813` Chr`1` : `1,462,766`	0.651	0.349	0.000
rs75355801 lBF = `8.34629` Chr`1` : `50,185,751`	0.649	0.351	0.000
rs10484621 lBF = `16.1593` Chr`6` : `62,686,818`	0.649	0.351	0.000
rs78603684 lBF = `12.2634` Chr`10` : `74,321,054`	0.648	0.352	0.000
rs1314913 lBF = `2.73209` Chr`14` : `68,699,594`	0.644	0.356	0.000
rs71435583 lBF = `11.0177` Chr`2` : `20,924,244`	0.643	0.357	0.000
rs138522855 lBF = `21.8188` Chr`7` : `76,140,330`	0.638	0.362	0.000
rs1653608 lBF = `16.5227` Chr`12` : `121,706,733`	0.638	0.362	0.000
rs2237896 lBF = `9.57157` Chr`11` : `2,858,440`	0.637	0.363	0.000
rs2495244 lBF = `8.29163` Chr`6` : `41,495,339`	0.637	0.363	0.000
rs74776058 lBF = `16.3733` Chr`9` : `30,014,333`	0.636	0.364	0.000
rs10797386 lBF = `13.2453` Chr`1` : `3,168,280`	0.633	0.367	0.000
rs4942278 lBF = `11.2944` Chr`13` : `44,681,950`	0.632	0.368	0.000
rs187353341 lBF = `19.0434` Chr`12` : `121,557,376`	0.631	0.369	0.000
rs2286313 lBF = `1.86051` Chr`14` : `71,514,163`	0.631	0.369	0.000
rs75655068 lBF = `13.5772` Chr`7` : `92,658,364`	0.627	0.373	0.000
rs17752346 lBF = `20.272` Chr`6` : `56,769,420`	0.626	0.374	0.000
rs74584624 lBF = `18.2621` Chr`5` : `62,106,216`	0.625	0.375	0.000
rs17854135 lBF = `7.59042` Chr`10` : `101,667,792`	0.625	0.375	0.000
rs17727296 lBF = `13.2947` Chr`8` : `72,558,829`	0.622	0.378	0.000
rs76521925 lBF = `12.5137` Chr`7` : `47,706,389`	0.619	0.381	0.000
rs13248406 lBF = `11.0107` Chr`8` : `62,674,301`	0.619	0.381	0.000
rs72660931 lBF = `10.5803` Chr`1` : `25,752,282`	0.619	0.381	0.000
rs78820411 lBF = `24.1897` Chr`15` : `26,478,903`	0.619	0.381	0.000
rs10415849 lBF = `8.12617` Chr`19` : `19,505,087`	0.619	0.381	0.000
rs116531279 lBF = `19.1393` Chr`4` : `31,427,147`	0.618	0.382	0.000
rs62328524 lBF = `13.1701` Chr`4` : `161,682,941`	0.616	0.383	0.000
rs75196982 lBF = `11.4824` Chr`9` : `38,110,302`	0.615	0.385	0.000
rs75668017 lBF = `16.6332` Chr`15` : `94,960,358`	0.615	0.385	0.000
rs1296720 lBF = `2.00067` Chr`16` : `3,873,642`	0.613	0.387	0.000
rs77923642 lBF = `16.5171` Chr`6` : `167,359,606`	0.612	0.388	0.000
rs113617295 lBF = `18.4784` Chr`6` : `30,719,481`	0.611	0.389	0.000
rs117681218 lBF = `15.1496` Chr`19` : `21,045,381`	0.610	0.390	0.000
rs12192967 lBF = `12.3006` Chr`6` : `62,885,492`	0.610	0.390	0.000
rs115720202 lBF = `18.7627` Chr`12` : `89,746,581`	0.607	0.393	0.000
rs73198922 lBF = `7.10026` Chr`8` : `10,958,663`	0.607	0.393	0.000
rs17790731 lBF = `6.01635` Chr`5` : `94,983,529`	0.607	0.393	0.000
rs79731608 lBF = `7.83144` Chr`1` : `215,891,981`	0.607	0.393	0.000
rs7551672 lBF = `7.66104` Chr`1` : `237,262,184`	0.604	0.396	0.000
rs72877264 lBF = `29.5182` Chr`6` : `57,886,642`	0.604	0.396	0.000
rs34665903 lBF = `7.545` Chr`8` : `62,699,372`	0.604	0.396	0.000
rs116916924 lBF = `15.3017` Chr`11` : `48,269,422`	0.604	0.396	0.000
rs76558737 lBF = `11.0862` Chr`18` : `19,432,268`	0.604	0.396	0.000
rs72705699 lBF = `11.092` Chr`1` : `168,820,294`	0.602	0.398	0.000
rs2570159 lBF = `5.73932` Chr`8` : `75,821,686`	0.601	0.398	0.000
rs13387838 lBF = `11.2378` Chr`2` : `207,281,447`	0.601	0.399	0.000
rs34641959 lBF = `19.1716` Chr`16` : `85,568,804`	0.600	0.400	0.000
rs9451846 lBF = `18.5341` Chr`6` : `65,219,452`	0.599	0.401	0.000
rs10819009 lBF = `6.78047` Chr`9` : `98,367,811`	0.598	0.402	0.000
rs72731844 lBF = `8.46443` Chr`4` : `147,555,879`	0.596	0.404	0.000
rs1992284 lBF = `5.12033` Chr`2` : `43,065,555`	0.596	0.404	0.000
rs34735233 lBF = `8.29735` Chr`16` : `3,993,318`	0.595	0.405	0.000
rs79336044 lBF = `13.069` Chr`6` : `63,656,987`	0.595	0.405	0.000
rs41270488 lBF = `32.2739` Chr`6` : `32,407,906`	0.595	0.405	0.000
rs76335573 lBF = `12.4927` Chr`1` : `107,687,605`	0.594	0.406	0.000
rs7863943 lBF = `13.4081` Chr`9` : `100,306,204`	0.594	0.406	0.000
rs72745400 lBF = `16.2767` Chr`1` : `217,672,512`	0.594	0.406	0.000
rs79658056 lBF = `13.7273` Chr`10` : `74,658,060`	0.592	0.408	0.000
rs9533771 lBF = `9.60568` Chr`13` : `44,677,599`	0.591	0.409	0.000
rs1889721 lBF = `15.2322` Chr`14` : `57,778,179`	0.591	0.409	0.000
rs114848727 lBF = `32.9543` Chr`6` : `58,744,020`	0.591	0.409	0.000
rs479798 lBF = `14.5952` Chr`8` : `29,112,073`	0.591	0.409	0.000
rs76309893 lBF = `21.1949` Chr`16` : `13,228,713`	0.590	0.410	0.000
rs55749608 lBF = `15.2225` Chr`17` : `3,800,118`	0.590	0.410	0.000
rs72657827 lBF = `22.3443` Chr`1` : `23,392,108`	0.590	0.410	0.000
rs9451906 lBF = `28.3252` Chr`6` : `65,240,905`	0.590	0.410	0.000
rs72696757 lBF = `13.7503` Chr`1` : `112,707,919`	0.590	0.410	0.000
rs4864469 lBF = `13.6938` Chr`4` : `54,413,304`	0.588	0.411	0.000
rs10424702 lBF = `9.34888` Chr`19` : `19,508,013`	0.588	0.412	0.000
rs78381698 lBF = `18.5552` Chr`5` : `135,014,373`	0.588	0.412	0.000
rs76733568 lBF = `27.8026` Chr`9` : `24,659,540`	0.586	0.414	0.000
rs117898212 lBF = `11.208` Chr`18` : `46,947,056`	0.586	0.414	0.000
rs143046984 lBF = `1.68613` Chr`14` : `71,404,246`	0.586	0.414	0.000
rs114659777 lBF = `10.4967` Chr`5` : `146,011,408`	0.586	0.414	0.000
rs10494913 lBF = `13.2918` Chr`1` : `209,114,268`	0.586	0.414	0.000
rs72874188 lBF = `30.4877` Chr`6` : `62,016,012`	0.584	0.416	0.000
rs9267650 lBF = `10.3635` Chr`6` : `31,824,912`	0.583	0.417	0.000
rs35404844 lBF = `99.3549` Chr`6` : `33,269,881`	0.583	0.417	0.000
rs17592741 lBF = `11.219` Chr`5` : `153,000,842`	0.581	0.419	0.000
rs12500058 lBF = `14.5733` Chr`4` : `94,281,087`	0.581	0.419	0.000
rs7213234 lBF = `7.51298` Chr`17` : `36,980,163`	0.581	0.419	0.000
rs75024436 lBF = `14.4606` Chr`3` : `50,046,446`	0.580	0.420	0.000
rs72649226 lBF = `15.4053` Chr`8` : `64,550,665`	0.580	0.420	0.000
rs73211928 lBF = `9.06643` Chr`12` : `118,039,876`	0.580	0.420	0.000
rs115660274 lBF = `85.1031` Chr`6` : `31,409,802`	0.580	0.420	0.000
rs62272723 lBF = `13.2782` Chr`3` : `151,963,160`	0.578	0.422	0.000
rs73040424 lBF = `7.46879` Chr`12` : `5,665,454`	0.577	0.423	0.000
rs35487354 lBF = `14.9055` Chr`11` : `65,366,882`	0.577	0.423	0.000
rs77090108 lBF = `11.3929` Chr`18` : `56,080,241`	0.577	0.423	0.000
rs79837333 lBF = `19.6803` Chr`5` : `80,512,632`	0.576	0.424	0.000
rs4839680 lBF = `1.36876` Chr`3` : `143,902,027`	0.575	0.425	0.000
rs114889417 lBF = `12.566` Chr`6` : `33,761,049`	0.574	0.425	0.000
rs41277101 lBF = `5.09532` Chr`9` : `36,337,253`	0.574	0.426	0.000
rs77382928 lBF = `9.24275` Chr`1` : `49,988,835`	0.572	0.428	0.000
rs57551647 lBF = `6.18396` Chr`12` : `85,602,577`	0.571	0.429	0.000
rs117525990 lBF = `11.468` Chr`10` : `106,848,064`	0.571	0.429	0.000
rs113196862 lBF = `0.667721` Chr`11` : `58,082,609`	0.570	0.430	0.000
rs10439884 lBF = `5.61662` Chr`21` : `10,971,951`	0.570	0.430	0.000
rs117951181 lBF = `15.9596` Chr`6` : `167,523,778`	0.570	0.430	0.000
rs71370433 lBF = `1.56699` Chr`17` : `6,197,824`	0.570	0.430	0.000
rs115818338 lBF = `12.7588` Chr`5` : `151,963,928`	0.570	0.430	0.000
rs76731769 lBF = `14.8647` Chr`17` : `35,063,138`	0.568	0.432	0.000
rs12127944 lBF = `1.82396` Chr`1` : `205,483,595`	0.568	0.432	0.000
rs17071124 lBF = `2.01665` Chr`6` : `142,033,726`	0.567	0.433	0.000
rs73918213 lBF = `16.0519` Chr`19` : `897,171`	0.567	0.433	0.000
rs71522756 lBF = `14.0585` Chr`8` : `106,746,337`	0.567	0.433	0.000
rs74639232 lBF = `18.5742` Chr`4` : `141,177,098`	0.566	0.434	0.000
rs116245640 lBF = `16.5949` Chr`2` : `194,726,307`	0.565	0.435	0.000
rs73029102 lBF = `9.63494` Chr`3` : `12,009,771`	0.565	0.435	0.000
rs180791571 lBF = `9.12258` Chr`2` : `122,464,495`	0.565	0.435	0.000
rs114998933 lBF = `19.8946` Chr`4` : `84,616,341`	0.564	0.436	0.000
rs114041233 lBF = `5.60402` Chr`1` : `14,605,530`	0.564	0.436	0.000
rs17200414 lBF = `82.2581` Chr`6` : `31,417,136`	0.563	0.437	0.000
rs13182752 lBF = `18.852` Chr`5` : `52,672,171`	0.563	0.437	0.000
rs116490929 lBF = `12.9583` Chr`1` : `62,741,015`	0.563	0.437	0.000
rs4419219 lBF = `12.9818` Chr`2` : `207,296,780`	0.563	0.437	0.000
rs1329530 lBF = `7.19577` Chr`6` : `120,182,610`	0.562	0.438	0.000
rs78529194 lBF = `18.9178` Chr`11` : `17,758,586`	0.561	0.439	0.000
rs12199630 lBF = `16.9642` Chr`6` : `63,634,905`	0.561	0.439	0.000
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rs10136659 lBF = `14.3641` Chr`14` : `65,377,610`	0.494	0.505	0.000
rs4782160 lBF = `13.3659` Chr`16` : `14,650,645`	0.494	0.506	0.000
rs72655652 lBF = `20.5631` Chr`15` : `92,647,684`	0.494	0.506	0.000
rs219976 lBF = `9.00082` Chr`6` : `12,199,517`	0.493	0.507	0.000
rs463329 lBF = `5.68402` Chr`5` : `73,711,709`	0.493	0.507	0.000
rs117630467 lBF = `16.4687` Chr`20` : `13,475,327`	0.493	0.507	0.000
rs117413168 lBF = `15.6145` Chr`6` : `126,759,473`	0.492	0.507	0.000
rs72636144 lBF = `14.7509` Chr`13` : `89,128,017`	0.492	0.508	0.000
rs116044577 lBF = `12.8773` Chr`3` : `173,023,621`	0.492	0.508	0.000
rs9652781 lBF = `17.8088` Chr`16` : `195,391`	0.492	0.508	0.000
rs77885874 lBF = `3.45781` Chr`5` : `125,848,356`	0.492	0.508	0.000
rs74453195 lBF = `16.6461` Chr`10` : `97,898,846`	0.491	0.509	0.000
rs150844304 lBF = `10.501` Chr`15` : `43,726,625`	0.491	0.509	0.000
rs11190812 lBF = `16.1442` Chr`10` : `102,824,292`	0.491	0.509	0.000
rs138477082 lBF = `2.62368` Chr`12` : `103,796,611`	0.491	0.509	0.000
rs76084488 lBF = `14.8485` Chr`14` : `71,911,727`	0.491	0.509	0.000
rs141799618 lBF = `2.03652` Chr`19` : `41,188,078`	0.000	0.509	0.491
rs17072846 lBF = `6.35937` Chr`4` : `183,117,828`	0.490	0.509	0.000
rs2678912 lBF = `7.34991` Chr`2` : `58,145,973`	0.490	0.510	0.000
rs117064875 lBF = `12.0836` Chr`11` : `28,313,112`	0.490	0.510	0.000
rs16889916 lBF = `20.7757` Chr`6` : `24,989,384`	0.489	0.510	0.000
rs3007243 lBF = `4.45029` Chr`13` : `105,806,954`	0.488	0.512	0.000
rs117254288 lBF = `12.3689` Chr`16` : `32,379,046`	0.000	0.512	0.488
rs79802820 lBF = `18.8126` Chr`1` : `216,046,129`	0.488	0.512	0.000
rs114524857 lBF = `20.7751` Chr`6` : `30,888,377`	0.487	0.513	0.000
rs78766240 lBF = `19.5029` Chr`3` : `12,067,966`	0.487	0.513	0.000
rs17406405 lBF = `16.4915` Chr`7` : `78,658,711`	0.487	0.513	0.000
rs148909372 lBF = `11.2024` Chr`3` : `15,576,104`	0.486	0.514	0.000
rs74013184 lBF = `7.38165` Chr`16` : `24,363,769`	0.486	0.514	0.000
rs75531736 lBF = `11.9899` Chr`6` : `18,642,745`	0.486	0.514	0.000
rs72821574 lBF = `15.3356` Chr`6` : `10,709,632`	0.485	0.514	0.000
rs17095029 lBF = `13.6715` Chr`14` : `72,140,969`	0.485	0.514	0.000
rs75334015 lBF = `17.4139` Chr`15` : `40,551,636`	0.485	0.515	0.000
rs2176075 lBF = `6.99834` Chr`14` : `90,459,569`	0.485	0.515	0.000
rs12212785 lBF = `9.86996` Chr`6` : `71,133,763`	0.485	0.515	0.000
rs11611673 lBF = `13.5862` Chr`12` : `121,451,150`	0.484	0.515	0.000
rs9549345 lBF = `11.7981` Chr`13` : `113,718,812`	0.484	0.516	0.000
rs9918841 lBF = `16.249` Chr`8` : `91,193,959`	0.484	0.516	0.000
rs117891146 lBF = `16.7401` Chr`17` : `77,212,307`	0.484	0.516	0.000
rs73030679 lBF = `10.1305` Chr`3` : `15,937,127`	0.483	0.517	0.000
rs75683534 lBF = `22.4278` Chr`15` : `65,116,390`	0.483	0.517	0.000
rs117464696 lBF = `17.5198` Chr`7` : `1,493,376`	0.483	0.517	0.000
rs111785063 lBF = `7.71115` Chr`19` : `22,646,085`	0.482	0.518	0.000
rs116255593 lBF = `80.2296` Chr`6` : `31,412,447`	0.482	0.518	0.000
rs10690822 lBF = `15.0738` Chr`14` : `24,646,406`	0.481	0.519	0.000
rs118052578 lBF = `12.7181` Chr`11` : `42,467,826`	0.481	0.519	0.000
rs11595238 lBF = `2.87726` Chr`10` : `101,930,409`	0.481	0.519	0.000
rs72941843 lBF = `24.4224` Chr`6` : `105,906,081`	0.480	0.520	0.000
rs78269264 lBF = `5.9998` Chr`9` : `2,064,351`	0.480	0.520	0.000
rs115907570 lBF = `20.1805` Chr`1` : `216,193,231`	0.480	0.520	0.000
rs6933271 lBF = `20.7519` Chr`6` : `30,867,830`	0.480	0.520	0.000
rs6918090 lBF = `57.3438` Chr`6` : `33,854,733`	0.479	0.521	0.000
rs56183335 lBF = `6.66881` Chr`5` : `141,474,886`	0.479	0.521	0.000
rs2301601 lBF = `7.06119` Chr`16` : `23,366,528`	0.478	0.522	0.000
rs2229593 lBF = `12.4833` Chr`3` : `42,906,216`	0.478	0.522	0.000
rs138117236 lBF = `16.8457` Chr`15` : `83,309,422`	0.478	0.522	0.000
rs115706318 lBF = `11.1749` Chr`2` : `97,143,761`	0.476	0.524	0.000
rs76938821 lBF = `8.96632` Chr`5` : `114,706,752`	0.476	0.524	0.000
rs76242156 lBF = `19.5711` Chr`12` : `65,043,774`	0.475	0.525	0.000
rs72730448 lBF = `14.5786` Chr`1` : `93,533,524`	0.475	0.525	0.000
Affx-20583135 lBF = `9.49321` Chr`2` : `82,456,396`	0.000	0.525	0.475
rs116853542 lBF = `17.1118` Chr`7` : `18,656,230`	0.475	0.525	0.000
rs79204427 lBF = `15.0146` Chr`18` : `47,693,130`	0.475	0.525	0.000
rs12409334 lBF = `13.2966` Chr`1` : `206,718,142`	0.475	0.525	0.000
rs116009799 lBF = `21.8061` Chr`6` : `30,806,893`	0.474	0.526	0.000
rs55715455 lBF = `23.8176` Chr`6` : `146,573,162`	0.473	0.526	0.000
rs2496644 lBF = `15.9721` Chr`6` : `41,482,745`	0.473	0.526	0.000
rs79169085 lBF = `7.81341` Chr`17` : `46,297,515`	0.473	0.527	0.000
rs113294279 lBF = `8.41477` Chr`19` : `23,089,268`	0.473	0.527	0.000
rs76361614 lBF = `22.0553` Chr`2` : `37,527,216`	0.473	0.527	0.000
rs75626916 lBF = `11.7941` Chr`12` : `108,663,870`	0.472	0.527	0.000
rs113982416 lBF = `13.054` Chr`14` : `89,297,204`	0.472	0.528	0.000
rs35303200 lBF = `18.3789` Chr`9` : `82,740,305`	0.472	0.528	0.000
rs117133403 lBF = `17.8134` Chr`15` : `49,823,391`	0.472	0.528	0.000
rs77620456 lBF = `16.281` Chr`1` : `214,788,839`	0.471	0.529	0.000
rs73166458 lBF = `17.8415` Chr`13` : `29,751,732`	0.471	0.529	0.000
rs3731189 lBF = `12.1962` Chr`3` : `14,186,238`	0.471	0.529	0.000
rs28392903 lBF = `14.0654` Chr`15` : `26,106,644`	0.471	0.529	0.000
rs78730305 lBF = `9.92833` Chr`12` : `104,669,564`	0.471	0.529	0.000
rs55723035 lBF = `12.5757` Chr`16` : `75,490,145`	0.470	0.530	0.000
rs116570129 lBF = `18.625` Chr`1` : `171,808,179`	0.470	0.530	0.000
rs75169866 lBF = `7.2961` Chr`3` : `15,819,505`	0.470	0.530	0.000
rs75593565 lBF = `13.6234` Chr`12` : `32,115,266`	0.469	0.530	0.000
rs114466565 lBF = `19.7848` Chr`6` : `30,898,751`	0.469	0.531	0.000
rs77425173 lBF = `10.1827` Chr`3` : `16,991,193`	0.469	0.531	0.000
rs12039519 lBF = `3.41232` Chr`1` : `161,953,400`	0.468	0.532	0.000
rs55777179 lBF = `16.0259` Chr`13` : `105,764,807`	0.468	0.532	0.000
rs16861990 lBF = `159.764` Chr`1` : `169,135,127`	0.468	0.532	0.000
rs66502377 lBF = `5.79886` Chr`8` : `2,294,390`	0.467	0.533	0.000
rs116223167 lBF = `21.4191` Chr`6` : `30,815,678`	0.467	0.533	0.000
rs12308914 lBF = `12.8877` Chr`12` : `104,633,842`	0.467	0.533	0.000
rs12000567 lBF = `4.07403` Chr`9` : `789,499`	0.467	0.533	0.000
rs78755596 lBF = `34.803` Chr`9` : `136,124,590`	0.467	0.533	0.000
rs7912575 lBF = `12.5771` Chr`10` : `83,655,730`	0.466	0.534	0.000
rs72772859 lBF = `13.2083` Chr`10` : `430,105`	0.466	0.534	0.000
rs2249031 lBF = `7.12134` Chr`11` : `105,800,066`	0.466	0.534	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

0.9461

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.4878

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.9958

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.9927

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.9829

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.9793

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.9514

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.9462

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9278

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.9132

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.9081

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9037

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.8985

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.8955

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.8801

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.8787

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.8759

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.8750

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.8668

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.8544

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.8543

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.8383

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.8321

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.8309

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.8265

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.8124

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.8074

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.8067

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.8016

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.7924

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.7903

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.7879

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.7851

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.7844

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.7805

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.7721

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.7596

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.7552

Cluster X0195

log Bayes Factor = 167.337

contains 13 variants

0.7551

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.7545

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.7495

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.7495

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7478

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7368

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.7276

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.7106

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.7079

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.6800

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.6746

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.6718

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.6717

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.6632

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.6576

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.6549

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.6477

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.6427

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.6187

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.6007

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.5993

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.5879

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.5876

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.5760

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.5736

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.5500

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.5478

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.5382

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.5340

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.5334

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.5156

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.5136

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.5113

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.5111

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.5094

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.5009

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.4910

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.4857

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.4637

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.4594

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.4548

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.4525

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.4490

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.4482

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.4407

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.4280

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.4242

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.4242

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.4241

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.4228

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.4182

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.4153

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.4131

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.4101

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.3968

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.3902

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.3900

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.3886

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.3881

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.3812

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.3723

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.3633

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.3592

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.3565

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.3517

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.3490

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.3419

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.3407

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.3382

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.3249

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.3154

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.3102

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.2902

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.2880

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.2652

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.2638

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.2623

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.2602

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.2589

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.2553

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.2518

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.2451

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.2380

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.2320

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.2275

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.2258

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.2195

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.2148

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.2141

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.2119

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.2076

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.2066

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.2065

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.2051

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.2020

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.2019

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.1931

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.1926

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.1757

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.1597

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.1572

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.1328

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.1327

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.1306

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.1197

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.1197

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.1159

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.1144

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.1098

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.1034

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.1034

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.1013

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.0999

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.0991

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.0972

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.0952

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.0839

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.0807

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.0770

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.0739

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.0725

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.0699

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.0689

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.0549

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.0540

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.0511

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`)