TreeWAS – [O36.9] Maternal care for foetal problem, 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
rs78882373 lBF = `14.656` Chr`2` : `150,846,305`	0.839	0.161	0.000
rs72920755 lBF = `9.73099` Chr`2` : `55,993,809`	0.809	0.191	0.000
rs71435583 lBF = `11.0177` Chr`2` : `20,924,244`	0.786	0.214	0.000
rs113153761 lBF = `6.16497` Chr`2` : `127,727,764`	0.774	0.226	0.000
rs114423144 lBF = `13.6872` Chr`2` : `119,230,855`	0.733	0.267	0.000
rs62182123 lBF = `11.1039` Chr`2` : `219,262,887`	0.704	0.295	0.000
rs6435999 lBF = `1.74683` Chr`2` : `218,523,162`	0.702	0.298	0.000
rs34218224 lBF = `7.72324` Chr`2` : `86,329,987`	0.697	0.303	0.000
rs116447103 lBF = `10.8199` Chr`2` : `86,545,425`	0.692	0.308	0.000
rs56227635 lBF = `17.231` Chr`2` : `128,259,423`	0.687	0.313	0.000
rs17219423 lBF = `19.3194` Chr`2` : `208,063,963`	0.685	0.315	0.000
rs116245640 lBF = `16.5949` Chr`2` : `194,726,307`	0.681	0.319	0.000
rs12478336 lBF = `13.7791` Chr`2` : `172,046,582`	0.674	0.326	0.000
rs76361614 lBF = `22.0553` Chr`2` : `37,527,216`	0.668	0.332	0.000
rs116839510 lBF = `15.1511` Chr`2` : `192,466,150`	0.662	0.337	0.000
rs78990647 lBF = `15.3465` Chr`2` : `236,837,582`	0.636	0.364	0.000
rs115706318 lBF = `11.1749` Chr`2` : `97,143,761`	0.627	0.373	0.000
rs140009341 lBF = `2.92393` Chr`2` : `137,190,884`	0.623	0.377	0.000
rs13387838 lBF = `11.2378` Chr`2` : `207,281,447`	0.622	0.378	0.000
rs116561927 lBF = `21.8507` Chr`2` : `221,679,348`	0.614	0.386	0.000
rs3827760 lBF = `5.71339` Chr`2` : `109,513,601`	0.609	0.391	0.000
rs4419219 lBF = `12.9818` Chr`2` : `207,296,780`	0.596	0.403	0.000
rs116332762 lBF = `17.3941` Chr`2` : `108,184,621`	0.594	0.406	0.000
rs116018140 lBF = `24.9673` Chr`2` : `106,054,384`	0.587	0.413	0.000
rs113542870 lBF = `14.9563` Chr`2` : `115,489,878`	0.583	0.416	0.000
rs111899708 lBF = `3.65736` Chr`2` : `156,051,135`	0.583	0.417	0.000
rs4149433 lBF = `9.85629` Chr`2` : `108,997,262`	0.578	0.422	0.000
rs17564315 lBF = `2.57146` Chr`2` : `19,958,496`	0.000	0.427	0.573
rs115896270 lBF = `17.0766` Chr`2` : `6,322,348`	0.566	0.434	0.000
rs138440701 lBF = `15.2454` Chr`2` : `113,783,743`	0.566	0.434	0.000
rs112673116 lBF = `15.2275` Chr`2` : `171,242,804`	0.565	0.435	0.000
rs72770140 lBF = `7.00192` Chr`2` : `4,666,772`	0.565	0.435	0.000
rs76809125 lBF = `14.9284` Chr`2` : `18,402,656`	0.564	0.436	0.000
rs112671876 lBF = `6.46431` Chr`2` : `78,908,449`	0.563	0.437	0.000
rs187650835 lBF = `2.76435` Chr`2` : `149,086,644`	0.560	0.440	0.000
rs17665650 lBF = `14.1219` Chr`2` : `194,297,468`	0.555	0.445	0.000
rs7605378 lBF = `2.57393` Chr`2` : `200,676,926`	0.545	0.455	0.000
rs114846446 lBF = `9.16227` Chr`2` : `2,947,912`	0.537	0.463	0.000
rs1801276 lBF = `19.3797` Chr`2` : `227,661,921`	0.536	0.463	0.000
rs114089901 lBF = `24.7301` Chr`2` : `97,528,099`	0.534	0.465	0.000
rs80319776 lBF = `29.4798` Chr`2` : `149,090,166`	0.529	0.470	0.000
rs116375068 lBF = `5.39278` Chr`2` : `12,212,803`	0.528	0.472	0.000
rs75867155 lBF = `6.99353` Chr`2` : `8,029,114`	0.525	0.475	0.000
rs113984483 lBF = `13.9687` Chr`2` : `35,302,577`	0.520	0.480	0.000
rs116580228 lBF = `10.6549` Chr`2` : `84,366,813`	0.519	0.481	0.000
rs17817451 lBF = `13.456` Chr`2` : `180,440,953`	0.517	0.483	0.000
rs115511239 lBF = `13.3518` Chr`2` : `220,981,981`	0.511	0.489	0.000
rs115073616 lBF = `21.2519` Chr`2` : `22,668,759`	0.507	0.493	0.000
rs10209766 lBF = `11.0593` Chr`2` : `35,161,415`	0.505	0.495	0.000
rs35836525 lBF = `18.108` Chr`2` : `97,601,693`	0.500	0.500	0.000
rs78227251 lBF = `17.4957` Chr`2` : `88,977,848`	0.500	0.500	0.000
rs115457615 lBF = `15.9194` Chr`2` : `168,583,240`	0.494	0.506	0.000
rs146495511 lBF = `11.8047` Chr`2` : `26,825,698`	0.490	0.510	0.000
rs149636167 lBF = `15.5188` Chr`2` : `65,216,817`	0.490	0.510	0.000
rs74591415 lBF = `13.4181` Chr`2` : `64,864,450`	0.486	0.514	0.000
rs76444744 lBF = `4.62118` Chr`2` : `101,705,345`	0.485	0.515	0.000
rs78846407 lBF = `16.3089` Chr`2` : `126,678,703`	0.480	0.520	0.000
rs112143646 lBF = `18.4597` Chr`2` : `102,617,045`	0.477	0.522	0.000
rs9308962 lBF = `12.3845` Chr`2` : `35,155,265`	0.468	0.531	0.000
rs74595671 lBF = `6.95219` Chr`2` : `159,403,054`	0.466	0.533	0.000
rs116517351 lBF = `17.5697` Chr`2` : `20,160,078`	0.458	0.541	0.000
rs74469198 lBF = `14.4455` Chr`2` : `20,110,483`	0.453	0.546	0.000
Affx-20583135 lBF = `9.49321` Chr`2` : `82,456,396`	0.000	0.547	0.453
rs75985359 lBF = `19.6778` Chr`2` : `141,918,805`	0.452	0.548	0.000
rs77795656 lBF = `18.6094` Chr`2` : `227,058,243`	0.451	0.549	0.000
rs115594565 lBF = `14.4329` Chr`2` : `43,372,385`	0.447	0.553	0.000
rs78789724 lBF = `20.4177` Chr`2` : `201,459,445`	0.446	0.554	0.000
rs72790077 lBF = `17.8671` Chr`2` : `44,788,309`	0.443	0.557	0.000
rs77169098 lBF = `26.0362` Chr`2` : `97,638,495`	0.442	0.558	0.000
rs148760487 lBF = `2.17191` Chr`2` : `163,778,613`	0.442	0.558	0.000
rs1035977 lBF = `8.7775` Chr`2` : `57,232,308`	0.436	0.564	0.000
rs112225386 lBF = `14.6649` Chr`2` : `99,563,294`	0.429	0.570	0.000
rs116251179 lBF = `15.6134` Chr`2` : `60,834,777`	0.428	0.572	0.000
rs116821480 lBF = `12.384` Chr`2` : `165,547,969`	0.428	0.572	0.000
rs62180472 lBF = `11.2108` Chr`2` : `222,690,063`	0.424	0.576	0.000
rs295130 lBF = `24.0264` Chr`2` : `201,229,984`	0.423	0.577	0.000
rs115128825 lBF = `15.3403` Chr`2` : `169,748,833`	0.421	0.578	0.000
rs13394458 lBF = `5.68749` Chr`2` : `142,230,943`	0.420	0.580	0.000
rs13012498 lBF = `19.1236` Chr`2` : `175,594,387`	0.418	0.582	0.000
rs116998110 lBF = `13.3549` Chr`2` : `72,099,750`	0.416	0.583	0.000
rs116465999 lBF = `13.7306` Chr`2` : `167,730,727`	0.414	0.586	0.000
rs188074355 lBF = `4.79154` Chr`2` : `123,026,148`	0.412	0.587	0.000
rs7597058 lBF = `7.5115` Chr`2` : `106,009,735`	0.412	0.587	0.000
rs75579756 lBF = `14.6674` Chr`2` : `174,201,924`	0.411	0.589	0.000
rs114049903 lBF = `17.8634` Chr`2` : `8,107,832`	0.409	0.591	0.000
rs79322857 lBF = `17.442` Chr`2` : `77,594,873`	0.408	0.592	0.000
rs114139149 lBF = `14.2732` Chr`2` : `159,748,419`	0.405	0.595	0.000
rs1987842 lBF = `5.12272` Chr`2` : `234,928,517`	0.403	0.596	0.000
rs2128770 lBF = `5.52515` Chr`2` : `67,453,754`	0.403	0.597	0.000
rs79523461 lBF = `15.6573` Chr`2` : `143,063,101`	0.403	0.597	0.000
rs3732064 lBF = `17.419` Chr`2` : `65,074,357`	0.401	0.599	0.000
rs72647873 lBF = `14.4328` Chr`2` : `179,643,566`	0.397	0.602	0.000
rs180791571 lBF = `9.12258` Chr`2` : `122,464,495`	0.395	0.605	0.000
rs112288323 lBF = `2.33034` Chr`2` : `26,228,207`	0.394	0.605	0.000
rs16859517 lBF = `0.646663` Chr`2` : `219,949,184`	0.392	0.608	0.000
rs17576670 lBF = `2.56905` Chr`2` : `62,817,019`	0.391	0.609	0.000
rs7569074 lBF = `12.5456` Chr`2` : `33,580,954`	0.390	0.610	0.000
rs112242463 lBF = `13.4022` Chr`2` : `45,808,479`	0.383	0.616	0.000
rs115089939 lBF = `5.12906` Chr`2` : `139,874,228`	0.383	0.617	0.000
rs17586297 lBF = `14.1451` Chr`2` : `4,939,414`	0.382	0.618	0.000
rs74795443 lBF = `6.71028` Chr`2` : `121,661,870`	0.381	0.619	0.000
rs114609132 lBF = `14.2901` Chr`2` : `1,551,467`	0.380	0.619	0.000
rs6741751 lBF = `0.757169` Chr`2` : `234,827,661`	0.000	0.620	0.380
rs115127256 lBF = `14.3925` Chr`2` : `226,747,566`	0.374	0.626	0.000
rs13009537 lBF = `20.9772` Chr`2` : `76,970,796`	0.373	0.627	0.000
rs140838333 lBF = `15.8559` Chr`2` : `46,460,880`	0.373	0.627	0.000
rs12997492 lBF = `13.2297` Chr`2` : `151,964,165`	0.370	0.629	0.000
rs116375727 lBF = `13.6047` Chr`2` : `2,807,724`	0.369	0.630	0.000
rs6705628 lBF = `4.01162` Chr`2` : `74,208,362`	0.365	0.635	0.000
rs80125857 lBF = `26.9524` Chr`2` : `175,108,663`	0.364	0.636	0.000
rs35667974 lBF = `16.6981` Chr`2` : `163,124,637`	0.364	0.636	0.000
rs113403741 lBF = `11.9832` Chr`2` : `226,895,738`	0.361	0.639	0.000
rs6708110 lBF = `8.38552` Chr`2` : `4,054,805`	0.358	0.642	0.000
rs114306262 lBF = `19.9183` Chr`2` : `158,584,262`	0.356	0.643	0.000
rs114592654 lBF = `15.287` Chr`2` : `12,614,388`	0.356	0.643	0.000
rs80249880 lBF = `15.9037` Chr`2` : `149,827,104`	0.351	0.649	0.000
rs55677935 lBF = `39.658` Chr`2` : `62,228,013`	0.349	0.650	0.000
rs114707893 lBF = `16.0863` Chr`2` : `97,566,051`	0.348	0.652	0.000
rs75341787 lBF = `15.3097` Chr`2` : `235,088,991`	0.341	0.659	0.000
rs74669452 lBF = `14.43` Chr`2` : `234,623,898`	0.338	0.661	0.000
rs141216273 lBF = `13.268` Chr`2` : `25,599,172`	0.335	0.665	0.000
rs145244554 lBF = `6.78114` Chr`2` : `178,955,022`	0.333	0.666	0.000
rs12613387 lBF = `11.81` Chr`2` : `199,699,922`	0.328	0.671	0.000
rs147056028 lBF = `2.35667` Chr`2` : `3,677,227`	0.327	0.673	0.000
rs4632337 lBF = `14.828` Chr`2` : `216,766,065`	0.324	0.676	0.000
rs116600709 lBF = `13.3425` Chr`2` : `111,736,824`	0.324	0.676	0.000
rs17412531 lBF = `9.90515` Chr`2` : `192,154,412`	0.322	0.677	0.000
rs116797017 lBF = `26.7156` Chr`2` : `22,472,592`	0.318	0.682	0.000
rs2303319 lBF = `0.847322` Chr`2` : `162,224,664`	0.315	0.685	0.000
rs11124622 lBF = `16.1796` Chr`2` : `38,091,790`	0.311	0.689	0.000
rs72948168 lBF = `6.34748` Chr`2` : `159,761,508`	0.309	0.691	0.000
rs148793625 lBF = `14.7971` Chr`2` : `118,117,059`	0.309	0.691	0.000
rs116701331 lBF = `14.5351` Chr`2` : `195,567,306`	0.307	0.693	0.000
rs13034020 lBF = `0.160271` Chr`2` : `61,043,834`	0.000	0.697	0.303
rs12994538 lBF = `8.90381` Chr`2` : `151,754,956`	0.301	0.698	0.000
rs138402956 lBF = `3.53154` Chr`2` : `56,197,800`	0.301	0.698	0.000
rs79916183 lBF = `24.1831` Chr`2` : `235,146,741`	0.301	0.698	0.000
rs114709725 lBF = `15.4695` Chr`2` : `207,557,965`	0.295	0.705	0.000
rs114036970 lBF = `16.5897` Chr`2` : `25,230,221`	0.294	0.705	0.000
rs78797065 lBF = `2.29489` Chr`2` : `82,120,517`	0.294	0.705	0.000
rs116419863 lBF = `28.8746` Chr`2` : `79,917,975`	0.282	0.718	0.000
rs1320333 lBF = `0.774822` Chr`2` : `679,179`	0.282	0.718	0.000
rs191975838 lBF = `4.25389` Chr`2` : `52,121,667`	0.280	0.720	0.000
rs13391419 lBF = `0.676772` Chr`2` : `222,921,916`	0.279	0.720	0.000
rs72858498 lBF = `17.8755` Chr`2` : `145,211,738`	0.276	0.724	0.000
rs72788536 lBF = `19.7511` Chr`2` : `21,134,209`	0.273	0.727	0.000
rs17020489 lBF = `2.57552` Chr`2` : `81,822,181`	0.270	0.729	0.000
rs7572081 lBF = `2.78476` Chr`2` : `15,509,146`	0.269	0.731	0.000
rs116260971 lBF = `14.538` Chr`2` : `66,345,333`	0.264	0.735	0.000
rs76157199 lBF = `10.0516` Chr`2` : `98,541,874`	0.264	0.735	0.000
rs77640143 lBF = `5.73366` Chr`2` : `189,786,827`	0.264	0.736	0.000
rs77836103 lBF = `14.9637` Chr`2` : `40,783,993`	0.261	0.739	0.000
rs3769528 lBF = `1.86906` Chr`2` : `33,471,192`	0.261	0.739	0.000
rs17042688 lBF = `0.304378` Chr`2` : `52,511,794`	0.261	0.739	0.000
rs61762670 lBF = `20.2293` Chr`2` : `55,812,201`	0.260	0.740	0.000
rs79338951 lBF = `8.00884` Chr`2` : `117,705,815`	0.259	0.741	0.000
rs13388915 lBF = `7.77383` Chr`2` : `26,272,602`	0.259	0.741	0.000
rs116769405 lBF = `17.8241` Chr`2` : `113,517,977`	0.258	0.742	0.000
rs77367389 lBF = `15.2981` Chr`2` : `37,492,823`	0.254	0.746	0.000
rs10195252 lBF = `7.74212` Chr`2` : `165,513,091`	0.252	0.748	0.000
rs114076351 lBF = `20.8722` Chr`2` : `7,249,885`	0.250	0.750	0.000
rs115065086 lBF = `12.3717` Chr`2` : `36,397,485`	0.249	0.751	0.000
rs359965 lBF = `2.30351` Chr`2` : `219,840,891`	0.247	0.753	0.000
rs77053667 lBF = `7.61983` Chr`2` : `106,646,550`	0.247	0.753	0.000
rs74456537 lBF = `16.3397` Chr`2` : `158,865,364`	0.245	0.755	0.000
rs17362588 lBF = `1.1711` Chr`2` : `179,721,046`	0.241	0.759	0.000
rs2708973 lBF = `3.29685` Chr`2` : `113,663,873`	0.236	0.764	0.000
rs6755097 lBF = `8.53243` Chr`2` : `196,116,079`	0.234	0.765	0.000
rs116620409 lBF = `12.7917` Chr`2` : `46,121,281`	0.233	0.767	0.000
rs191185851 lBF = `1.72756` Chr`2` : `15,876,417`	0.231	0.769	0.000
rs17475168 lBF = `14.4134` Chr`2` : `65,598,866`	0.231	0.769	0.000
rs7577262 lBF = `0.579554` Chr`2` : `234,818,869`	0.000	0.770	0.230
rs114639172 lBF = `14.2055` Chr`2` : `239,638,502`	0.230	0.770	0.000
rs16984718 lBF = `4.60309` Chr`2` : `18,509,254`	0.226	0.774	0.000
rs112411280 lBF = `15.0001` Chr`2` : `28,678,625`	0.223	0.777	0.000
rs11689435 lBF = `0.24428` Chr`2` : `218,314,253`	0.000	0.777	0.223
rs1881492 lBF = `0.250862` Chr`2` : `233,406,998`	0.222	0.778	0.000
rs187076367 lBF = `2.26739` Chr`2` : `175,636,914`	0.220	0.779	0.000
rs79423523 lBF = `15.7536` Chr`2` : `58,673,886`	0.219	0.781	0.000
rs12991146 lBF = `0.27861` Chr`2` : `60,111,222`	0.215	0.785	0.000
Affx-19135860 lBF = `11.016` Chr`2` : `220,045,902`	0.214	0.786	0.000
rs3769477 lBF = `12.6651` Chr`2` : `201,180,085`	0.213	0.786	0.000
rs1669539 lBF = `0.594279` Chr`2` : `106,615,274`	0.207	0.793	0.000
rs13414323 lBF = `20.469` Chr`2` : `2,225,210`	0.205	0.794	0.000
rs77095817 lBF = `10.8277` Chr`2` : `44,926,615`	0.200	0.800	0.000
rs78446584 lBF = `7.86467` Chr`2` : `130,663,894`	0.198	0.802	0.000
rs78034869 lBF = `14.6594` Chr`2` : `173,203,198`	0.198	0.802	0.000
rs79635241 lBF = `13.4282` Chr`2` : `32,209,991`	0.195	0.805	0.000
rs78488377 lBF = `7.59067` Chr`2` : `203,693,277`	0.189	0.811	0.000
rs4972489 lBF = `0.36921` Chr`2` : `176,734,598`	0.188	0.812	0.000
rs78058190 lBF = `10.0519` Chr`2` : `219,699,999`	0.187	0.813	0.000
rs186166314 lBF = `0.489607` Chr`2` : `48,663,037`	0.178	0.822	0.000
rs78141093 lBF = `15.0604` Chr`2` : `27,502,134`	0.175	0.825	0.000
rs6750486 lBF = `0.237106` Chr`2` : `35,526,918`	0.170	0.829	0.000
rs75276992 lBF = `24.59` Chr`2` : `27,381,271`	0.170	0.830	0.000
rs11678166 lBF = `11.2921` Chr`2` : `61,157,720`	0.169	0.831	0.000
rs79861226 lBF = `13.5365` Chr`2` : `155,790,230`	0.169	0.831	0.000
rs17333649 lBF = `6.63712` Chr`2` : `5,379,187`	0.167	0.832	0.000
rs183369189 lBF = `1.70547` Chr`2` : `155,812,392`	0.167	0.832	0.000
rs80098689 lBF = `14.847` Chr`2` : `167,262,238`	0.166	0.834	0.000
rs59735097 lBF = `7.95782` Chr`2` : `70,398,587`	0.163	0.837	0.000
rs77101722 lBF = `14.3457` Chr`2` : `126,788,300`	0.159	0.841	0.000
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rs76054655 lBF = `10.3188` Chr`2` : `50,744,940`	0.003	0.996	0.001
rs6738962 lBF = `0.0406736` Chr`2` : `80,281,173`	0.004	0.996	0.000
rs77774752 lBF = `14.2158` Chr`2` : `56,960,157`	0.003	0.996	0.002
rs733331 lBF = `0.528171` Chr`2` : `173,546,313`	0.004	0.996	0.000
rs7355746 lBF = `0.0229413` Chr`2` : `145,351,821`	0.004	0.996	0.000
rs454305 lBF = `-0.0838709` Chr`2` : `70,736,219`	0.004	0.996	0.000
rs75818885 lBF = `10.272` Chr`2` : `56,351,058`	0.004	0.996	0.000
rs765684 lBF = `0.00892006` Chr`2` : `75,459,668`	0.004	0.996	0.000
rs7558233 lBF = `0.00686716` Chr`2` : `23,681,924`	0.004	0.996	0.000
rs62133575 lBF = `17.8576` Chr`2` : `18,239,336`	0.003	0.996	0.001
rs13413624 lBF = `23.2138` Chr`2` : `151,348,709`	0.003	0.996	0.000
rs191356286 lBF = `0.0130101` Chr`2` : `82,325,816`	0.004	0.996	0.000
rs11683503 lBF = `-0.0480324` Chr`2` : `79,198,168`	0.004	0.996	0.000
rs6436559 lBF = `0.572876` Chr`2` : `226,352,798`	0.000	0.996	0.003
rs78801169 lBF = `14.2444` Chr`2` : `167,872,932`	0.001	0.996	0.002
rs13021737 lBF = `8.48861` Chr`2` : `632,348`	0.004	0.996	0.000
rs6738627 lBF = `10.1711` Chr`2` : `165,544,450`	0.004	0.996	0.000
rs4487103 lBF = `-0.0653121` Chr`2` : `165,485,978`	0.004	0.996	0.000
rs13418717 lBF = `0.0688111` Chr`2` : `127,662,897`	0.000	0.996	0.003
rs80337366 lBF = `15.2845` Chr`2` : `9,559,503`	0.003	0.996	0.001
rs963731 lBF = `-0.0290316` Chr`2` : `39,216,873`	0.003	0.997	0.000
rs6755502 lBF = `8.44259` Chr`2` : `635,721`	0.003	0.997	0.000
rs1012307 lBF = `0.00530942` Chr`2` : `150,655,221`	0.003	0.997	0.000
rs13021401 lBF = `0.12904` Chr`2` : `20,688,519`	0.000	0.997	0.003
rs2357982 lBF = `0.627502` Chr`2` : `161,886,103`	0.000	0.997	0.003
rs3791675 lBF = `59.7233` Chr`2` : `56,111,309`	0.003	0.997	0.000
rs11686135 lBF = `-0.0476087` Chr`2` : `4,318,976`	0.003	0.997	0.000
rs79722283 lBF = `12.398` Chr`2` : `56,869,337`	0.002	0.997	0.001
rs12692737 lBF = `9.54912` Chr`2` : `165,554,309`	0.003	0.997	0.000
rs6711016 lBF = `-0.0337265` Chr`2` : `21,123,352`	0.003	0.997	0.000
rs78487399 lBF = `2.59975` Chr`2` : `43,809,347`	0.003	0.997	0.000
rs7582141 lBF = `0.00531809` Chr`2` : `159,899,489`	0.003	0.997	0.000
rs7602460 lBF = `-0.0460674` Chr`2` : `182,261,869`	0.003	0.997	0.000
rs400197 lBF = `12.4692` Chr`2` : `142,381,682`	0.003	0.997	0.000
rs10194115 lBF = `0.00315417` Chr`2` : `47,240,012`	0.003	0.997	0.000
rs4566392 lBF = `-0.0151844` Chr`2` : `79,506,643`	0.000	0.997	0.003
rs1004368 lBF = `-0.0372147` Chr`2` : `168,641,970`	0.003	0.997	0.000
rs115302848 lBF = `9.63821` Chr`2` : `210,941,688`	0.003	0.997	0.000
rs72911847 lBF = `0.10446` Chr`2` : `194,578,775`	0.000	0.997	0.003
rs187306222 lBF = `0.00289834` Chr`2` : `27,802,505`	0.003	0.997	0.000
rs1868402 lBF = `16.4481` Chr`2` : `68,409,037`	0.000	0.997	0.003
rs7561149 lBF = `-0.0260038` Chr`2` : `179,689,856`	0.000	0.997	0.003
rs61571577 lBF = `0.00351247` Chr`2` : `47,236,436`	0.002	0.997	0.000
rs62106258 lBF = `13.2334` Chr`2` : `417,167`	0.000	0.997	0.003
rs7588654 lBF = `0.0316437` Chr`2` : `219,983,030`	0.000	0.997	0.003
rs10189761 lBF = `8.27588` Chr`2` : `646,364`	0.003	0.997	0.000
rs10190052 lBF = `8.27588` Chr`2` : `646,674`	0.003	0.997	0.000
rs7596264 lBF = `1.12115` Chr`2` : `144,168,635`	0.003	0.997	0.000
rs17382723 lBF = `-0.0557119` Chr`2` : `242,053,546`	0.003	0.997	0.000
rs74589926 lBF = `12.1504` Chr`2` : `43,903,262`	0.002	0.997	0.001
rs35810297 lBF = `11.267` Chr`2` : `9,597,171`	0.002	0.997	0.001
rs77059113 lBF = `9.7216` Chr`2` : `43,672,508`	0.002	0.997	0.000
rs2099613 lBF = `-0.0489701` Chr`2` : `60,983,969`	0.000	0.997	0.002
rs16861531 lBF = `0.00135435` Chr`2` : `14,398,052`	0.002	0.998	0.000
rs4675644 lBF = `0.436104` Chr`2` : `207,840,332`	0.000	0.998	0.002
rs13430864 lBF = `0.00264235` Chr`2` : `201,648,639`	0.002	0.998	0.000
rs6719977 lBF = `-0.0604599` Chr`2` : `42,985,803`	0.002	0.998	0.000
rs11675841 lBF = `-0.0556864` Chr`2` : `153,436,570`	0.002	0.998	0.000
rs10207392 lBF = `-0.0794139` Chr`2` : `111,849,659`	0.000	0.998	0.002
rs7577463 lBF = `0.428347` Chr`2` : `228,994,782`	0.000	0.998	0.002
rs1058065 lBF = `0.301022` Chr`2` : `27,587,724`	0.002	0.998	0.000
rs7577696 lBF = `0.0244476` Chr`2` : `32,278,782`	0.000	0.998	0.002
rs6715284 lBF = `0.0464514` Chr`2` : `202,154,397`	0.002	0.998	0.000
rs2241685 lBF = `0.0407332` Chr`2` : `1,925,993`	0.000	0.998	0.002
rs55983207 lBF = `0.0167053` Chr`2` : `119,529,829`	0.002	0.998	0.000
rs749052 lBF = `-0.0102866` Chr`2` : `232,796,610`	0.000	0.998	0.002
rs999091 lBF = `22.6696` Chr`2` : `66,603,934`	0.002	0.998	0.000
rs12613775 lBF = `0.167868` Chr`2` : `104,580,503`	0.002	0.998	0.000
rs1385351 lBF = `-0.0054581` Chr`2` : `193,333,903`	0.000	0.998	0.002
rs13421246 lBF = `0.124774` Chr`2` : `115,587,622`	0.000	0.998	0.002
rs9309711 lBF = `-0.0710649` Chr`2` : `3,472,138`	0.002	0.998	0.000
rs1400816 lBF = `0.0503748` Chr`2` : `172,680,678`	0.002	0.998	0.000
rs264943 lBF = `-0.0808784` Chr`2` : `104,298,541`	0.002	0.998	0.000
rs17021683 lBF = `0.00168425` Chr`2` : `82,616,450`	0.002	0.998	0.000
rs11889338 lBF = `0.0336869` Chr`2` : `17,427,585`	0.002	0.998	0.000
rs13030978 lBF = `-0.0438423` Chr`2` : `192,117,238`	0.000	0.998	0.002
rs7599312 lBF = `-0.0764356` Chr`2` : `213,413,231`	0.002	0.998	0.000
rs16828074 lBF = `0.00183681` Chr`2` : `232,318,754`	0.002	0.998	0.000
rs10208516 lBF = `0.00146951` Chr`2` : `81,574,758`	0.002	0.998	0.000
rs11679640 lBF = `0.0787649` Chr`2` : `43,141,485`	0.002	0.998	0.000
rs4452212 lBF = `-0.0312915` Chr`2` : `137,015,991`	0.000	0.998	0.002
rs80314069 lBF = `14.1714` Chr`2` : `194,597,305`	0.002	0.998	0.000
rs72952664 lBF = `8.79899` Chr`2` : `216,969,624`	0.000	0.998	0.002
rs113027826 lBF = `0.523765` Chr`2` : `207,549,512`	0.002	0.998	0.000
rs57484362 lBF = `14.3244` Chr`2` : `43,866,411`	0.001	0.998	0.001
rs4854349 lBF = `8.30456` Chr`2` : `647,861`	0.002	0.998	0.000
rs6543610 lBF = `0.00179305` Chr`2` : `31,376,654`	0.002	0.998	0.000
rs72991078 lBF = `15.803` Chr`2` : `238,732,864`	0.001	0.998	0.000
rs33993717 lBF = `-0.0730934` Chr`2` : `103,335,441`	0.002	0.998	0.000
rs12624302 lBF = `0.0138308` Chr`2` : `3,171,952`	0.002	0.998	0.000
rs142793646 lBF = `0.00090677` Chr`2` : `123,167,812`	0.002	0.998	0.000
rs6732028 lBF = `-0.0340837` Chr`2` : `115,586,939`	0.000	0.998	0.002
rs1808797 lBF = `-0.0740006` Chr`2` : `5,625,006`	0.002	0.998	0.000
rs9636231 lBF = `0.237474` Chr`2` : `139,671,955`	0.000	0.998	0.002
rs7588550 lBF = `0.00884597` Chr`2` : `213,168,768`	0.001	0.998	0.000
rs4148323 lBF = `0.00143379` Chr`2` : `234,669,144`	0.001	0.998	0.000
rs2551802 lBF = `-0.119746` Chr`2` : `177,022,158`	0.002	0.998	0.000
rs2367809 lBF = `-0.0683116` Chr`2` : `33,776,680`	0.002	0.998	0.000
rs2138798 lBF = `-0.0564205` Chr`2` : `63,511,435`	0.002	0.998	0.000
rs6743931 lBF = `-0.0808193` Chr`2` : `240,418,660`	0.002	0.998	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

0.7553

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.2796

Cluster X0330

log Bayes Factor = 183.455

contains 2 variants

0.0598

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9938

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.9857

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.9760

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.9722

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.9715

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.9669

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.9655

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.9639

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9606

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9581

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.9530

Cluster X0195

log Bayes Factor = 167.337

contains 13 variants

0.9493

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.9391

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.9308

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9302

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9271

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9252

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9241

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9210

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9119

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.9097

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.9054

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9038

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.8836

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.8716

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.8683

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.8656

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.8605

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.8583

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.8559

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.8463

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.8261

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.8205

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.8079

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.8020

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.7836

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.7787

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.7774

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.7737

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.7730

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.7727

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.7632

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.7584

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7437

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.7422

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.7373

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.7322

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.7302

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.7276

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7227

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.7213

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.7181

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.7168

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.7152

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.7124

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.7115

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.7108

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.7103

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.6970

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.6948

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.6816

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.6807

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.6728

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.6724

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.6690

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.6418

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.6394

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.6355

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.6249

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.6189

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.6132

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.6092

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.6081

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.6021

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.5964

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.5889

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.5829

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.5628

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.5601

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.5580

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.5561

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.5543

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.5437

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.5403

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.5392

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.5322

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.5260

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.5193

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.5193

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.5091

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.5080

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.5074

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.4920

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.4888

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.4803

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.4748

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.4648

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.4619

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.4527

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.4377

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.4226

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.4198

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.4179

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.4147

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.4090

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.4017

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.3781

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.3682

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.3636

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.3597

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.3595

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.3507

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.3444

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.3227

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.2833

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.2829

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.2627

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.2626

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.2595

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.2345

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.2327

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.2301

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.2273

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.2258

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.2177

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.2157

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.1835

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.1787

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.1746

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.1707

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.1681

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.1519

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.1390

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.1341

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.1122

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.1060

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.1057

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.0986

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.0940

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.0796

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.0773

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.0743

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.0651

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.0629

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.0622

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.0622

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.0573

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.0539

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`)