TreeWAS – [O30.1] Triplet pregnancy

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
rs78851502 lBF = `8.34221` Chr`12` : `40,811,944`	0.764	0.236	0.000
rs1992284 lBF = `5.12033` Chr`2` : `43,065,555`	0.744	0.256	0.000
rs2134039 lBF = `6.11532` Chr`12` : `101,928,424`	0.715	0.285	0.000
rs2053302 lBF = `1.25399` Chr`1` : `190,841,673`	0.696	0.304	0.000
rs9374842 lBF = `7.02448` Chr`6` : `120,185,665`	0.000	0.309	0.691
rs12905014 lBF = `3.80001` Chr`15` : `92,883,840`	0.687	0.313	0.000
rs1329530 lBF = `7.19577` Chr`6` : `120,182,610`	0.678	0.321	0.000
rs2585617 lBF = `4.35661` Chr`6` : `69,337,787`	0.662	0.338	0.000
rs9366775 lBF = `32.0035` Chr`6` : `31,240,096`	0.661	0.339	0.000
rs7605378 lBF = `2.57393` Chr`2` : `200,676,926`	0.660	0.340	0.000
rs3172494 lBF = `6.58272` Chr`3` : `48,731,487`	0.659	0.341	0.000
rs10515552 lBF = `7.77092` Chr`5` : `145,038,831`	0.658	0.342	0.000
rs76904521 lBF = `9.88184` Chr`8` : `1,148,999`	0.652	0.348	0.000
rs116066300 lBF = `16.0918` Chr`6` : `22,877,032`	0.649	0.351	0.000
rs6124878 lBF = `3.85459` Chr`20` : `45,497,723`	0.647	0.353	0.000
rs11595238 lBF = `2.87726` Chr`10` : `101,930,409`	0.647	0.353	0.000
rs11952583 lBF = `2.33169` Chr`5` : `73,309,105`	0.645	0.354	0.000
rs9357121 lBF = `31.2249` Chr`6` : `31,240,479`	0.641	0.359	0.000
rs9391714 lBF = `31.1904` Chr`6` : `31,245,080`	0.640	0.360	0.000
rs117577998 lBF = `13.0097` Chr`8` : `143,505,653`	0.640	0.360	0.000
rs79863952 lBF = `10.9902` Chr`18` : `74,602,869`	0.639	0.361	0.000
rs76178988 lBF = `5.33366` Chr`8` : `10,785,942`	0.638	0.362	0.000
rs9368666 lBF = `20.5229` Chr`6` : `31,229,644`	0.635	0.365	0.000
rs77544976 lBF = `8.34279` Chr`8` : `143,465,481`	0.635	0.365	0.000
rs60078135 lBF = `5.25935` Chr`8` : `1,082,832`	0.634	0.366	0.000
rs116740811 lBF = `5.20808` Chr`3` : `76,718,625`	0.634	0.366	0.000
rs74595671 lBF = `6.95219` Chr`2` : `159,403,054`	0.633	0.366	0.000
rs77657273 lBF = `15.1219` Chr`14` : `35,139,957`	0.633	0.367	0.000
rs80126971 lBF = `18.1379` Chr`7` : `36,697,785`	0.633	0.367	0.000
rs117559199 lBF = `8.42044` Chr`12` : `75,424,551`	0.630	0.370	0.000
rs78807522 lBF = `10.1919` Chr`3` : `49,056,150`	0.630	0.370	0.000
rs77711036 lBF = `6.2686` Chr`3` : `187,321,533`	0.628	0.372	0.000
rs73082331 lBF = `8.96863` Chr`3` : `48,994,943`	0.628	0.372	0.000
rs9380234 lBF = `27.1707` Chr`6` : `31,248,568`	0.623	0.377	0.000
rs117415762 lBF = `13.5576` Chr`9` : `77,698,356`	0.623	0.377	0.000
rs12892019 lBF = `13.1568` Chr`14` : `25,759,476`	0.621	0.379	0.000
rs12539417 lBF = `18.0477` Chr`7` : `135,720,705`	0.620	0.379	0.000
rs74795443 lBF = `6.71028` Chr`2` : `121,661,870`	0.620	0.380	0.000
rs117156109 lBF = `29.2944` Chr`17` : `75,856,929`	0.620	0.380	0.000
rs76754339 lBF = `2.82851` Chr`6` : `118,104,136`	0.618	0.382	0.000
rs11021370 lBF = `5.86896` Chr`11` : `95,726,855`	0.615	0.385	0.000
rs72686220 lBF = `11.9345` Chr`4` : `100,980,334`	0.613	0.386	0.000
rs34218224 lBF = `7.72324` Chr`2` : `86,329,987`	0.613	0.387	0.000
rs116855070 lBF = `11.8145` Chr`6` : `137,922,391`	0.612	0.388	0.000
rs9295984 lBF = `68.201` Chr`6` : `31,317,697`	0.612	0.388	0.000
rs17192386 lBF = `29.99` Chr`6` : `31,256,058`	0.609	0.391	0.000
rs45585732 lBF = `23.7699` Chr`6` : `29,910,549`	0.608	0.391	0.000
rs62378043 lBF = `12.7136` Chr`5` : `117,199,683`	0.608	0.392	0.000
rs77103806 lBF = `6.36663` Chr`12` : `23,021,423`	0.604	0.395	0.000
rs9394047 lBF = `14.8238` Chr`6` : `31,236,250`	0.604	0.396	0.000
rs74469198 lBF = `14.4455` Chr`2` : `20,110,483`	0.604	0.396	0.000
rs115326449 lBF = `19.0223` Chr`6` : `63,544,853`	0.602	0.398	0.000
rs9533771 lBF = `9.60568` Chr`13` : `44,677,599`	0.602	0.398	0.000
rs41291189 lBF = `5.43607` Chr`3` : `69,074,878`	0.602	0.398	0.000
rs73198922 lBF = `7.10026` Chr`8` : `10,958,663`	0.601	0.399	0.000
rs78882373 lBF = `14.656` Chr`2` : `150,846,305`	0.601	0.399	0.000
rs2910756 lBF = `1.50337` Chr`5` : `37,860,074`	0.601	0.399	0.000
rs75807633 lBF = `18.3777` Chr`6` : `135,495,020`	0.599	0.401	0.000
rs75564153 lBF = `12.9648` Chr`4` : `126,393,692`	0.599	0.401	0.000
rs76566749 lBF = `12.0109` Chr`6` : `145,423,991`	0.598	0.402	0.000
rs111550474 lBF = `9.97502` Chr`6` : `1,977,205`	0.597	0.403	0.000
rs2894196 lBF = `17.3657` Chr`6` : `31,230,111`	0.594	0.406	0.000
rs115604765 lBF = `12.8648` Chr`5` : `151,393,653`	0.593	0.406	0.000
rs114969413 lBF = `34.4385` Chr`6` : `31,925,679`	0.593	0.406	0.000
rs2570159 lBF = `5.73932` Chr`8` : `75,821,686`	0.593	0.407	0.000
rs61754763 lBF = `16.2187` Chr`20` : `5,966,763`	0.592	0.407	0.000
rs79903598 lBF = `14.3577` Chr`1` : `192,406,817`	0.591	0.408	0.000
rs111583008 lBF = `14.8938` Chr`20` : `5,951,050`	0.591	0.409	0.000
rs117438523 lBF = `14.3842` Chr`8` : `14,577,786`	0.591	0.409	0.000
rs74968339 lBF = `14.8939` Chr`18` : `52,753,199`	0.591	0.409	0.000
rs7569074 lBF = `12.5456` Chr`2` : `33,580,954`	0.591	0.409	0.000
rs117759274 lBF = `14.7453` Chr`12` : `23,131,855`	0.590	0.410	0.000
rs17198734 lBF = `28.2378` Chr`6` : `31,256,026`	0.590	0.410	0.000
rs6787231 lBF = `1.10831` Chr`3` : `20,957,810`	0.000	0.410	0.590
rs77753228 lBF = `5.4503` Chr`18` : `41,134,775`	0.589	0.411	0.000
rs4942278 lBF = `11.2944` Chr`13` : `44,681,950`	0.589	0.411	0.000
rs116517351 lBF = `17.5697` Chr`2` : `20,160,078`	0.589	0.411	0.000
rs73366442 lBF = `12.0256` Chr`7` : `73,989,491`	0.588	0.412	0.000
rs17256048 lBF = `12.0162` Chr`11` : `98,607,374`	0.587	0.413	0.000
rs115683773 lBF = `1.99043` Chr`4` : `175,125,429`	0.587	0.413	0.000
rs117508732 lBF = `10.2984` Chr`15` : `67,824,170`	0.586	0.414	0.000
rs77118716 lBF = `8.9984` Chr`1` : `202,125,495`	0.586	0.414	0.000
rs117520190 lBF = `16.2172` Chr`9` : `98,903,902`	0.585	0.415	0.000
rs117478093 lBF = `18.0142` Chr`17` : `6,027,422`	0.585	0.415	0.000
rs116447103 lBF = `10.8199` Chr`2` : `86,545,425`	0.584	0.416	0.000
rs10209766 lBF = `11.0593` Chr`2` : `35,161,415`	0.583	0.417	0.000
rs35426951 lBF = `19.3875` Chr`4` : `4,566,274`	0.583	0.417	0.000
rs41307810 lBF = `8.50949` Chr`1` : `22,354,045`	0.583	0.417	0.000
rs75513936 lBF = `11.7791` Chr`6` : `22,469,034`	0.581	0.419	0.000
rs118137384 lBF = `25.456` Chr`20` : `9,532,957`	0.581	0.419	0.000
rs11811132 lBF = `14.4138` Chr`1` : `34,352,741`	0.580	0.420	0.000
rs7756047 lBF = `8.51794` Chr`6` : `100,626,847`	0.580	0.420	0.000
rs12492992 lBF = `6.38992` Chr`3` : `196,883,562`	0.579	0.420	0.000
rs115525301 lBF = `14.6439` Chr`5` : `176,932,440`	0.579	0.421	0.000
rs117089640 lBF = `23.0292` Chr`12` : `125,048,557`	0.579	0.421	0.000
rs78437391 lBF = `22.4064` Chr`12` : `129,229,615`	0.579	0.421	0.000
rs79837333 lBF = `19.6803` Chr`5` : `80,512,632`	0.577	0.423	0.000
rs4839680 lBF = `1.36876` Chr`3` : `143,902,027`	0.577	0.423	0.000
rs12321507 lBF = `16.2879` Chr`12` : `96,134,818`	0.577	0.423	0.000
rs11108227 lBF = `16.4201` Chr`12` : `96,134,001`	0.576	0.424	0.000
rs117933286 lBF = `14.503` Chr`9` : `81,306,530`	0.575	0.424	0.000
rs17064 lBF = `12.5491` Chr`7` : `87,133,470`	0.575	0.425	0.000
rs72649272 lBF = `12.7562` Chr`1` : `29,547,495`	0.575	0.425	0.000
rs74907094 lBF = `13.9899` Chr`18` : `60,886,937`	0.575	0.425	0.000
rs77759352 lBF = `23.6884` Chr`18` : `19,521,256`	0.574	0.426	0.000
rs55684811 lBF = `13.4343` Chr`10` : `7,041,621`	0.572	0.427	0.000
rs77396437 lBF = `6.42134` Chr`10` : `42,725,820`	0.572	0.427	0.000
rs77649004 lBF = `14.247` Chr`12` : `96,135,916`	0.572	0.428	0.000
rs72920755 lBF = `9.73099` Chr`2` : `55,993,809`	0.572	0.428	0.000
rs76123431 lBF = `7.56428` Chr`1` : `46,357,802`	0.572	0.428	0.000
rs17207986 lBF = `30.3956` Chr`6` : `32,079,567`	0.571	0.429	0.000
rs35339759 lBF = `21.1966` Chr`10` : `105,718,919`	0.570	0.430	0.000
rs9650068 lBF = `5.82939` Chr`8` : `117,643,773`	0.000	0.430	0.570
rs17752346 lBF = `20.272` Chr`6` : `56,769,420`	0.570	0.430	0.000
rs2229593 lBF = `12.4833` Chr`3` : `42,906,216`	0.569	0.430	0.000
rs73147826 lBF = `14.8932` Chr`3` : `116,659,269`	0.568	0.432	0.000
rs8107107 lBF = `7.30758` Chr`19` : `42,477,310`	0.568	0.432	0.000
rs57551647 lBF = `6.18396` Chr`12` : `85,602,577`	0.567	0.433	0.000
rs117292830 lBF = `18.5393` Chr`6` : `31,218,268`	0.567	0.433	0.000
rs2250422 lBF = `11.7971` Chr`17` : `48,351,018`	0.566	0.434	0.000
rs114987466 lBF = `13.887` Chr`1` : `21,632,046`	0.566	0.434	0.000
rs78342332 lBF = `7.79538` Chr`13` : `95,049,165`	0.565	0.435	0.000
rs17013679 lBF = `8.97199` Chr`1` : `209,084,801`	0.565	0.435	0.000
rs76976907 lBF = `8.94995` Chr`22` : `48,387,302`	0.565	0.435	0.000
rs74639232 lBF = `18.5742` Chr`4` : `141,177,098`	0.564	0.436	0.000
rs75262317 lBF = `7.62584` Chr`6` : `16,992,933`	0.564	0.436	0.000
rs4921542 lBF = `5.71395` Chr`8` : `17,205,577`	0.564	0.436	0.000
rs56227635 lBF = `17.231` Chr`2` : `128,259,423`	0.563	0.437	0.000
rs76024631 lBF = `30.2245` Chr`6` : `32,088,988`	0.563	0.437	0.000
rs16966085 lBF = `5.66056` Chr`13` : `105,835,170`	0.563	0.437	0.000
rs4714669 lBF = `12.884` Chr`6` : `43,122,369`	0.563	0.437	0.000
rs79169085 lBF = `7.81341` Chr`17` : `46,297,515`	0.563	0.437	0.000
rs1235153 lBF = `9.04692` Chr`12` : `48,110,325`	0.562	0.437	0.000
rs112673116 lBF = `15.2275` Chr`2` : `171,242,804`	0.562	0.438	0.000
rs113373865 lBF = `13.4513` Chr`8` : `67,091,991`	0.562	0.438	0.000
rs78269264 lBF = `5.9998` Chr`9` : `2,064,351`	0.561	0.439	0.000
rs75683534 lBF = `22.4278` Chr`15` : `65,116,390`	0.560	0.440	0.000
rs76719755 lBF = `19.161` Chr`18` : `66,910,435`	0.560	0.440	0.000
rs76309893 lBF = `21.1949` Chr`16` : `13,228,713`	0.560	0.440	0.000
rs11232369 lBF = `8.62097` Chr`11` : `80,562,738`	0.560	0.440	0.000
rs77913858 lBF = `29.141` Chr`6` : `32,066,815`	0.560	0.440	0.000
rs10999556 lBF = `11.1577` Chr`10` : `72,571,360`	0.559	0.441	0.000
rs13387838 lBF = `11.2378` Chr`2` : `207,281,447`	0.559	0.441	0.000
rs117194321 lBF = `19.8711` Chr`8` : `22,491,317`	0.559	0.441	0.000
rs6833389 lBF = `13.2457` Chr`4` : `30,534,841`	0.559	0.441	0.000
rs10819009 lBF = `6.78047` Chr`9` : `98,367,811`	0.559	0.441	0.000
rs17394246 lBF = `22.6201` Chr`13` : `25,208,811`	0.558	0.442	0.000
rs115818338 lBF = `12.7588` Chr`5` : `151,963,928`	0.558	0.442	0.000
rs117091812 lBF = `12.7428` Chr`9` : `81,272,613`	0.557	0.442	0.000
rs3128935 lBF = `12.9734` Chr`6` : `32,972,404`	0.557	0.443	0.000
rs78613695 lBF = `14.371` Chr`3` : `140,106,659`	0.557	0.443	0.000
rs149578545 lBF = `13.004` Chr`6` : `33,923,324`	0.557	0.443	0.000
rs16970649 lBF = `5.96979` Chr`19` : `36,222,857`	0.557	0.443	0.000
rs9308962 lBF = `12.3845` Chr`2` : `35,155,265`	0.557	0.443	0.000
rs34457396 lBF = `18.3682` Chr`19` : `10,752,352`	0.556	0.443	0.000
rs58952294 lBF = `6.46717` Chr`19` : `36,184,643`	0.556	0.443	0.000
rs72988842 lBF = `15.8412` Chr`11` : `98,345,840`	0.556	0.444	0.000
rs117811601 lBF = `12.5145` Chr`13` : `109,010,696`	0.556	0.444	0.000
rs7536740 lBF = `11.7453` Chr`1` : `168,472,921`	0.555	0.444	0.000
rs112088213 lBF = `13.0401` Chr`10` : `134,611,681`	0.555	0.445	0.000
rs73195295 lBF = `14.6178` Chr`13` : `58,551,273`	0.555	0.445	0.000
rs113197211 lBF = `21.1599` Chr`10` : `134,615,280`	0.554	0.445	0.000
rs116561927 lBF = `21.8507` Chr`2` : `221,679,348`	0.554	0.445	0.000
rs12141644 lBF = `14.0953` Chr`1` : `202,125,994`	0.554	0.446	0.000
rs77800959 lBF = `11.6926` Chr`20` : `51,357,796`	0.553	0.447	0.000
rs76938821 lBF = `8.96632` Chr`5` : `114,706,752`	0.553	0.447	0.000
rs115811434 lBF = `12.939` Chr`4` : `82,956,773`	0.552	0.448	0.000
rs16919333 lBF = `7.20476` Chr`9` : `103,452,327`	0.552	0.448	0.000
rs117803799 lBF = `13.8032` Chr`15` : `59,431,200`	0.552	0.448	0.000
rs117182866 lBF = `23.3157` Chr`6` : `112,035,847`	0.551	0.448	0.000
rs75593565 lBF = `13.6234` Chr`12` : `32,115,266`	0.551	0.449	0.000
rs854625 lBF = `15.4246` Chr`17` : `34,328,461`	0.551	0.449	0.000
rs79858930 lBF = `31.6188` Chr`10` : `83,047,434`	0.550	0.450	0.000
rs8127967 lBF = `12.6191` Chr`21` : `21,763,036`	0.550	0.450	0.000
rs61319746 lBF = `16.9132` Chr`5` : `43,845,213`	0.549	0.451	0.000
rs4419219 lBF = `12.9818` Chr`2` : `207,296,780`	0.549	0.451	0.000
rs9327574 lBF = `12.0462` Chr`5` : `130,117,354`	0.547	0.453	0.000
rs80301223 lBF = `12.0195` Chr`8` : `119,648,160`	0.547	0.453	0.000
rs73271426 lBF = `11.5943` Chr`7` : `13,645,098`	0.547	0.453	0.000
rs17057381 lBF = `1.98864` Chr`8` : `27,416,801`	0.547	0.453	0.000
rs75896014 lBF = `10.709` Chr`16` : `24,531,387`	0.547	0.453	0.000
rs7726414 lBF = `7.38602` Chr`5` : `133,431,834`	0.547	0.453	0.000
rs4388254 lBF = `6.9552` Chr`5` : `133,428,601`	0.547	0.453	0.000
rs78750032 lBF = `11.0825` Chr`1` : `156,671,013`	0.547	0.453	0.000
rs3828380 lBF = `11.1618` Chr`3` : `145,923,751`	0.546	0.453	0.000
rs17817451 lBF = `13.456` Chr`2` : `180,440,953`	0.546	0.454	0.000
rs73602806 lBF = `6.20853` Chr`19` : `36,168,646`	0.546	0.454	0.000
rs72882047 lBF = `8.84333` Chr`6` : `33,628,307`	0.545	0.454	0.000
rs2238664 lBF = `17.927` Chr`19` : `19,258,385`	0.545	0.455	0.000
rs77821460 lBF = `20.1742` Chr`12` : `20,274,936`	0.545	0.455	0.000
rs7086803 lBF = `2.66982` Chr`10` : `114,498,476`	0.545	0.455	0.000
rs9369072 lBF = `12.2512` Chr`6` : `12,081,146`	0.545	0.455	0.000
rs143813799 lBF = `18.0084` Chr`17` : `60,023,795`	0.544	0.456	0.000
rs116998110 lBF = `13.3549` Chr`2` : `72,099,750`	0.544	0.456	0.000
rs59355858 lBF = `6.81191` Chr`7` : `29,629,005`	0.544	0.456	0.000
rs11652121 lBF = `15.4813` Chr`17` : `28,532,332`	0.543	0.457	0.000
rs35478175 lBF = `6.93402` Chr`10` : `105,553,793`	0.543	0.457	0.000
rs78593318 lBF = `12.9921` Chr`9` : `2,491,638`	0.543	0.457	0.000
rs6467710 lBF = `5.41598` Chr`7` : `137,203,819`	0.543	0.457	0.000
rs113294279 lBF = `8.41477` Chr`19` : `23,089,268`	0.542	0.457	0.000
rs151037173 lBF = `13.9074` Chr`20` : `3,089,900`	0.542	0.458	0.000
rs13394458 lBF = `5.68749` Chr`2` : `142,230,943`	0.542	0.458	0.000
rs117337372 lBF = `13.2949` Chr`17` : `11,026,937`	0.542	0.458	0.000
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rs1889721 lBF = `15.2322` Chr`14` : `57,778,179`	0.501	0.499	0.000
rs17564315 lBF = `2.57146` Chr`2` : `19,958,496`	0.000	0.499	0.500
rs115136538 lBF = `2.76777` Chr`4` : `73,322,565`	0.500	0.499	0.000
rs36080042 lBF = `7.12997` Chr`10` : `65,426,785`	0.500	0.500	0.000
rs149872224 lBF = `17.5873` Chr`10` : `19,786,378`	0.500	0.500	0.000
rs6435999 lBF = `1.74683` Chr`2` : `218,523,162`	0.500	0.500	0.000
rs61919599 lBF = `9.83827` Chr`12` : `528,351`	0.500	0.500	0.000
rs56269309 lBF = `12.8645` Chr`12` : `127,453,025`	0.499	0.500	0.000
rs116044577 lBF = `12.8773` Chr`3` : `173,023,621`	0.499	0.501	0.000
rs10690822 lBF = `15.0738` Chr`14` : `24,646,406`	0.499	0.501	0.000
rs62511613 lBF = `11.9042` Chr`8` : `34,178,686`	0.499	0.501	0.000
rs76523732 lBF = `18.01` Chr`1` : `180,578,260`	0.499	0.501	0.000
rs7190199 lBF = `9.04801` Chr`16` : `57,101,340`	0.499	0.501	0.000
rs114859313 lBF = `12.1981` Chr`5` : `163,379,668`	0.499	0.501	0.000
rs2267386 lBF = `5.19951` Chr`22` : `38,832,112`	0.499	0.501	0.000
rs152784 lBF = `14.4221` Chr`5` : `132,772,431`	0.498	0.501	0.000
rs7011581 lBF = `17.2432` Chr`8` : `9,000,465`	0.498	0.502	0.000
rs76361614 lBF = `22.0553` Chr`2` : `37,527,216`	0.498	0.502	0.000
rs78685710 lBF = `14.7268` Chr`3` : `189,149,244`	0.498	0.502	0.000
rs141799618 lBF = `2.03652` Chr`19` : `41,188,078`	0.000	0.502	0.498
rs117180213 lBF = `18.1114` Chr`17` : `46,070,227`	0.497	0.503	0.000
rs78785836 lBF = `21.9706` Chr`4` : `9,844,767`	0.497	0.503	0.000
rs76718115 lBF = `14.4603` Chr`9` : `112,413,997`	0.497	0.503	0.000
rs115394689 lBF = `13.8594` Chr`1` : `245,542,829`	0.497	0.503	0.000
rs76531899 lBF = `13.8951` Chr`5` : `109,156,748`	0.497	0.503	0.000
rs78825320 lBF = `12.1904` Chr`20` : `48,694,630`	0.497	0.503	0.000
rs114561626 lBF = `19.183` Chr`3` : `44,188,954`	0.496	0.503	0.000
rs41262444 lBF = `14.5044` Chr`22` : `25,959,702`	0.496	0.503	0.000
rs76338037 lBF = `17.1925` Chr`5` : `18,496,375`	0.496	0.503	0.000
rs149636167 lBF = `15.5188` Chr`2` : `65,216,817`	0.496	0.503	0.000
rs12370770 lBF = `24.384` Chr`12` : `112,277,084`	0.496	0.504	0.000
rs117682147 lBF = `15.1352` Chr`10` : `58,582,130`	0.496	0.504	0.000
rs72983278 lBF = `6.95338` Chr`6` : `148,913,690`	0.496	0.504	0.000
rs9832761 lBF = `14.5966` Chr`3` : `4,431,283`	0.496	0.504	0.000
rs76605533 lBF = `18.0219` Chr`9` : `100,624,553`	0.496	0.504	0.000
rs116049161 lBF = `16.3808` Chr`1` : `59,017,337`	0.495	0.504	0.000
rs73224126 lBF = `18.1836` Chr`4` : `13,056,615`	0.495	0.505	0.000
rs115281334 lBF = `15.0554` Chr`4` : `78,595,878`	0.495	0.505	0.000
rs73009507 lBF = `20.7347` Chr`19` : `10,961,024`	0.495	0.505	0.000
rs113652541 lBF = `18.6299` Chr`15` : `53,573,692`	0.495	0.505	0.000
rs114619588 lBF = `11.9743` Chr`4` : `55,738,261`	0.495	0.505	0.000
rs79658056 lBF = `13.7273` Chr`10` : `74,658,060`	0.495	0.505	0.000
rs77268492 lBF = `15.5722` Chr`10` : `95,315,221`	0.495	0.505	0.000
rs116940284 lBF = `11.3342` Chr`11` : `63,333,643`	0.495	0.505	0.000
rs17580163 lBF = `15.9895` Chr`4` : `58,140,073`	0.495	0.505	0.000
rs114495629 lBF = `14.5035` Chr`1` : `245,701,098`	0.495	0.505	0.000
rs75781922 lBF = `11.3472` Chr`16` : `88,149,539`	0.495	0.505	0.000
rs59218290 lBF = `15.3723` Chr`11` : `131,807,633`	0.495	0.505	0.000
rs17684427 lBF = `1.53495` Chr`7` : `122,482,977`	0.495	0.505	0.000
rs114419204 lBF = `14.4286` Chr`13` : `95,041,266`	0.495	0.505	0.000
rs75205007 lBF = `13.899` Chr`6` : `3,886,591`	0.494	0.505	0.000
rs10758732 lBF = `11.2727` Chr`9` : `5,991,772`	0.494	0.505	0.000
rs138117236 lBF = `16.8457` Chr`15` : `83,309,422`	0.494	0.505	0.000
rs117217495 lBF = `16.3591` Chr`9` : `24,538,142`	0.494	0.505	0.000
rs74347133 lBF = `17.4128` Chr`16` : `13,216,365`	0.494	0.505	0.000
rs79358413 lBF = `15.0607` Chr`1` : `31,519,638`	0.494	0.506	0.000
rs76475900 lBF = `15.2634` Chr`16` : `59,672,738`	0.494	0.506	0.000
rs113866213 lBF = `6.92983` Chr`10` : `107,789,906`	0.494	0.506	0.000
rs76860700 lBF = `35.4858` Chr`1` : `168,705,216`	0.494	0.506	0.000
rs73153964 lBF = `7.32997` Chr`7` : `141,751,052`	0.000	0.506	0.494
rs114004994 lBF = `20.3162` Chr`6` : `32,138,617`	0.494	0.506	0.000
rs117473873 lBF = `9.65269` Chr`15` : `53,024,679`	0.493	0.506	0.000
rs706901 lBF = `13.0915` Chr`6` : `112,043,599`	0.493	0.507	0.000
rs78837767 lBF = `19.649` Chr`6` : `138,638,738`	0.493	0.507	0.000
rs72952568 lBF = `24.7996` Chr`6` : `114,493,211`	0.493	0.507	0.000
rs75411983 lBF = `7.67071` Chr`3` : `110,149,585`	0.492	0.508	0.000
rs10797386 lBF = `13.2453` Chr`1` : `3,168,280`	0.492	0.508	0.000
rs2663357 lBF = `14.3146` Chr`17` : `811,874`	0.492	0.508	0.000
rs2496644 lBF = `15.9721` Chr`6` : `41,482,745`	0.492	0.508	0.000
Affx-4319464 lBF = `12.3919` Chr`11` : `119,229,758`	0.492	0.508	0.000
rs74584624 lBF = `18.2621` Chr`5` : `62,106,216`	0.491	0.508	0.000
rs62235996 lBF = `12.7384` Chr`22` : `38,041,015`	0.491	0.509	0.000
rs67405884 lBF = `19.8101` Chr`19` : `50,229,382`	0.491	0.509	0.000
rs74912350 lBF = `10.4081` Chr`8` : `96,035,756`	0.491	0.509	0.000
rs138436261 lBF = `5.43269` Chr`4` : `25,332,404`	0.491	0.509	0.000
rs2413121 lBF = `7.58938` Chr`22` : `32,895,978`	0.491	0.509	0.000
rs76977469 lBF = `13.872` Chr`1` : `64,889,840`	0.490	0.509	0.000
rs72658822 lBF = `15.1905` Chr`7` : `21,932,031`	0.490	0.509	0.000
rs117525990 lBF = `11.468` Chr`10` : `106,848,064`	0.490	0.510	0.000
rs72657827 lBF = `22.3443` Chr`1` : `23,392,108`	0.490	0.510	0.000
rs28404158 lBF = `15.9414` Chr`5` : `177,028,676`	0.490	0.510	0.000
rs17072846 lBF = `6.35937` Chr`4` : `183,117,828`	0.490	0.510	0.000
rs75522355 lBF = `12.1753` Chr`16` : `6,640,457`	0.490	0.510	0.000
rs115511239 lBF = `13.3518` Chr`2` : `220,981,981`	0.490	0.510	0.000
rs117703456 lBF = `19.1338` Chr`13` : `43,083,754`	0.490	0.510	0.000
rs116600709 lBF = `13.3425` Chr`2` : `111,736,824`	0.490	0.510	0.000
rs10484621 lBF = `16.1593` Chr`6` : `62,686,818`	0.489	0.510	0.000
rs72875818 lBF = `15.9254` Chr`6` : `62,043,183`	0.489	0.510	0.000
rs118175001 lBF = `26.7437` Chr`16` : `72,724,630`	0.489	0.510	0.000
rs114848727 lBF = `32.9543` Chr`6` : `58,744,020`	0.489	0.511	0.000
rs3748140 lBF = `15.9864` Chr`8` : `8,999,019`	0.489	0.511	0.000
rs35506702 lBF = `8.81167` Chr`10` : `65,045,865`	0.489	0.511	0.000
rs76964416 lBF = `17.3421` Chr`5` : `141,526,554`	0.489	0.511	0.000
rs36086854 lBF = `16.6954` Chr`4` : `2,460,546`	0.489	0.511	0.000
rs148883465 lBF = `4.7225` Chr`11` : `103,684,099`	0.489	0.511	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 X0335

log Bayes Factor = 12.3689

contains 1 variants

0.2917

Cluster X0036

log Bayes Factor = 43.2308

contains 4 variants

0.2576

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0195

log Bayes Factor = 167.337

contains 13 variants

0.8716

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.7168

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.7153

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.7153

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.7127

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.7015

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.6997

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.6980

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.6905

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.6886

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.6782

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.6713

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.6684

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.6653

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.6653

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.6578

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.6530

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.6441

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.6376

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.6373

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.6373

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.6365

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.6315

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.6302

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.6300

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.6294

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.6260

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.6197

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.6112

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.6110

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.6105

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.6037

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.5995

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.5989

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.5951

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.5938

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.5936

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.5936

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.5907

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.5907

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.5857

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.5831

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.5820

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.5788

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.5673

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.5643

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.5594

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.5562

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.5557

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.5494

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.5487

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.5475

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.5462

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.5453

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.5445

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.5370

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.5314

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.5305

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.5274

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.5273

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.5272

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.5239

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.5209

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.5153

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.5131

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.5122

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.5113

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.5029

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.5024

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.5021

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.4982

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.4906

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.4885

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.4872

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.4868

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.4858

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.4800

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.4792

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.4747

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.4693

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.4626

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.4605

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.4591

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.4575

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.4556

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.4530

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.4527

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.4520

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.4488

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.4475

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.4456

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.4440

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.4406

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.4396

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.4369

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.4368

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.4327

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.4303

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.4237

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.4201

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.4190

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.4169

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.4090

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.4068

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.4060

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.4060

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.4036

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.3967

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.3946

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.3930

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.3917

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.3899

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.3885

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.3874

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.3861

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.3848

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.3788

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.3648

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.3620

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.3619

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.3586

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.3520

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.3514

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.3442

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.3438

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.3418

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.3377

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.3343

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.3320

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.3298

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.3267

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.3180

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.3178

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.3138

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.3110

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.3099

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.3050

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.3034

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.3026

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.3014

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.3012

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.3012

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.3012

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.3007

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.3001

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.2994

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.2990

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.2985

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.2947

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.2805

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.2781

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.2748

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.2679

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.2536

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.2515

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.2509

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.2356

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.2242

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.2085

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.2057

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.2026

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.1494

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.1348

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.1310

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.1225

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.1001

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.0973

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.0860

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.0710

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.0692

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.0641

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.0632

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.0613

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`)