TreeWAS – [G54.6] Phantom limb syndrome with pain

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
rs9273011 lBF = `165.34` Chr`6` : `32,611,611`	0.854	0.146	0.000
rs9272308 lBF = `332.362` Chr`6` : `32,603,906`	0.847	0.153	0.000
rs9272535 lBF = `325.29` Chr`6` : `32,606,756`	0.839	0.161	0.000
rs9272219 lBF = `165.087` Chr`6` : `32,602,269`	0.838	0.162	0.000
rs9272630 lBF = `162.464` Chr`6` : `32,608,150`	0.834	0.166	0.000
rs9272449 lBF = `449.415` Chr`6` : `32,605,451`	0.833	0.167	0.000
rs9272276 lBF = `160.465` Chr`6` : `32,603,634`	0.830	0.170	0.000
rs9272559 lBF = `157.261` Chr`6` : `32,607,124`	0.830	0.170	0.000
rs502055 lBF = `136.601` Chr`6` : `32,579,003`	0.824	0.176	0.000
rs9272215 lBF = `326.395` Chr`6` : `32,602,105`	0.824	0.176	0.000
rs502771 lBF = `134.013` Chr`6` : `32,578,970`	0.816	0.184	0.000
rs35344500 lBF = `333.689` Chr`6` : `32,609,525`	0.791	0.209	0.000
rs9271541 lBF = `326.542` Chr`6` : `32,590,070`	0.774	0.226	0.000
rs602875 lBF = `323.871` Chr`6` : `32,573,629`	0.764	0.236	0.000
rs3129763 lBF = `328.807` Chr`6` : `32,590,925`	0.758	0.242	0.000
rs75128058 lBF = `8.3914` Chr`6` : `52,978,053`	0.741	0.259	0.000
rs615672 lBF = `289.555` Chr`6` : `32,574,171`	0.740	0.259	0.000
rs642093 lBF = `323.201` Chr`6` : `32,582,075`	0.729	0.270	0.000
rs9270493 lBF = `326.186` Chr`6` : `32,559,110`	0.725	0.275	0.000
rs17511643 lBF = `7.08446` Chr`14` : `79,666,567`	0.717	0.283	0.000
rs6757751 lBF = `15.3429` Chr`2` : `228,925,597`	0.701	0.299	0.000
rs4947350 lBF = `137.219` Chr`6` : `32,767,620`	0.700	0.300	0.000
rs71384569 lBF = `6.74754` Chr`16` : `50,593,084`	0.699	0.301	0.000
rs2829949 lBF = `8.60682` Chr`21` : `27,222,822`	0.694	0.306	0.000
rs2858867 lBF = `291.547` Chr`6` : `32,575,325`	0.686	0.314	0.000
rs7907491 lBF = `9.55748` Chr`10` : `21,630,589`	0.684	0.316	0.000
rs9276731 lBF = `308.61` Chr`6` : `32,765,585`	0.682	0.318	0.000
rs9276689 lBF = `309.056` Chr`6` : `32,751,962`	0.672	0.328	0.000
rs56696153 lBF = `12.2898` Chr`10` : `114,987,119`	0.671	0.329	0.000
rs2040406 lBF = `386.738` Chr`6` : `32,603,007`	0.663	0.337	0.000
rs1622289 lBF = `17.2268` Chr`7` : `157,567,732`	0.659	0.341	0.000
rs7758736 lBF = `71.2514` Chr`6` : `32,758,394`	0.655	0.345	0.000
rs79661460 lBF = `14.8033` Chr`22` : `45,380,889`	0.649	0.351	0.000
rs116254114 lBF = `9.25391` Chr`14` : `21,228,586`	0.649	0.351	0.000
rs73147826 lBF = `14.8932` Chr`3` : `116,659,269`	0.641	0.359	0.000
rs116996274 lBF = `16.8749` Chr`17` : `72,204,105`	0.641	0.359	0.000
rs13061465 lBF = `14.9946` Chr`3` : `72,568,369`	0.641	0.359	0.000
rs77073981 lBF = `11.9832` Chr`19` : `23,235,972`	0.636	0.364	0.000
rs73336408 lBF = `8.76344` Chr`21` : `23,343,776`	0.634	0.365	0.000
rs117744271 lBF = `7.2886` Chr`7` : `132,152,409`	0.633	0.367	0.000
rs16890376 lBF = `13.4967` Chr`6` : `38,084,897`	0.632	0.368	0.000
rs10984730 lBF = `5.19571` Chr`9` : `100,766,795`	0.631	0.369	0.000
rs1417290 lBF = `17.5513` Chr`9` : `7,046,917`	0.631	0.369	0.000
Affx-17521858 lBF = `7.5796` Chr`21` : `23,325,246`	0.629	0.371	0.000
rs2395158 lBF = `274.261` Chr`6` : `32,374,595`	0.629	0.371	0.000
rs35501570 lBF = `8.91191` Chr`15` : `37,965,898`	0.629	0.371	0.000
rs12500459 lBF = `8.9164` Chr`4` : `3,284,340`	0.627	0.373	0.000
rs59735097 lBF = `7.95782` Chr`2` : `70,398,587`	0.627	0.373	0.000
rs1980493 lBF = `273.275` Chr`6` : `32,363,215`	0.626	0.374	0.000
rs2856674 lBF = `406.303` Chr`6` : `32,659,645`	0.626	0.374	0.000
rs3135382 lBF = `251.263` Chr`6` : `32,383,441`	0.624	0.376	0.000
rs7159950 lBF = `5.65025` Chr`14` : `57,180,779`	0.621	0.378	0.000
rs2160519 lBF = `9.54207` Chr`12` : `13,787,846`	0.620	0.380	0.000
rs2187668 lBF = `393.11` Chr`6` : `32,605,884`	0.616	0.384	0.000
rs377763 lBF = `302.382` Chr`6` : `32,199,144`	0.615	0.385	0.000
rs34979634 lBF = `10.2881` Chr`7` : `18,181,230`	0.615	0.385	0.000
rs3129716 lBF = `409.333` Chr`6` : `32,657,436`	0.613	0.387	0.000
rs17103138 lBF = `6.23321` Chr`10` : `123,913,330`	0.613	0.387	0.000
rs28659842 lBF = `12.442` Chr`22` : `24,776,451`	0.612	0.388	0.000
rs2647044 lBF = `409.49` Chr`6` : `32,667,910`	0.611	0.389	0.000
rs2854275 lBF = `405.249` Chr`6` : `32,628,428`	0.609	0.391	0.000
rs537160 lBF = `213.027` Chr`6` : `31,916,400`	0.609	0.391	0.000
rs3021302 lBF = `364.737` Chr`6` : `32,623,150`	0.609	0.391	0.000
rs117487501 lBF = `16.2076` Chr`14` : `26,589,434`	0.608	0.392	0.000
rs11760220 lBF = `20.43` Chr`7` : `149,257,763`	0.606	0.394	0.000
rs3135365 lBF = `229.562` Chr`6` : `32,389,255`	0.000	0.396	0.603
Affx-23671264 lBF = `6.33533` Chr`4` : `154,094,220`	0.598	0.402	0.000
rs61772626 lBF = `10.1601` Chr`1` : `57,015,668`	0.597	0.403	0.000
rs79655101 lBF = `9.70411` Chr`4` : `53,338,793`	0.594	0.406	0.000
rs77727170 lBF = `12.9342` Chr`6` : `141,312,506`	0.594	0.406	0.000
rs6901158 lBF = `317.39` Chr`6` : `32,205,942`	0.593	0.407	0.000
rs3135356 lBF = `253.703` Chr`6` : `32,391,516`	0.593	0.407	0.000
rs72748988 lBF = `19.0653` Chr`9` : `92,041,530`	0.592	0.408	0.000
rs2927021 lBF = `7.556` Chr`8` : `120,363,974`	0.591	0.408	0.000
rs3135351 lBF = `256.753` Chr`6` : `32,392,945`	0.591	0.409	0.000
rs6930933 lBF = `254.18` Chr`6` : `32,383,410`	0.589	0.411	0.000
rs116256340 lBF = `8.67079` Chr`3` : `62,704,734`	0.587	0.413	0.000
rs9272729 lBF = `402.73` Chr`6` : `32,609,594`	0.586	0.413	0.000
rs2814993 lBF = `37.1636` Chr`6` : `34,618,893`	0.585	0.414	0.000
rs2395164 lBF = `251.794` Chr`6` : `32,387,860`	0.585	0.415	0.000
rs77176328 lBF = `15.521` Chr`14` : `71,370,689`	0.585	0.415	0.000
rs3135366 lBF = `253.084` Chr`6` : `32,388,709`	0.584	0.415	0.000
rs2112095 lBF = `10.2299` Chr`2` : `41,229,015`	0.584	0.416	0.000
rs2395162 lBF = `252.734` Chr`6` : `32,387,780`	0.583	0.417	0.000
rs78723060 lBF = `8.61938` Chr`6` : `15,296,993`	0.583	0.417	0.000
rs116919233 lBF = `14.0946` Chr`9` : `119,991,655`	0.582	0.418	0.000
rs77855512 lBF = `16.0644` Chr`17` : `12,141,091`	0.581	0.419	0.000
rs77611086 lBF = `14.008` Chr`5` : `170,553,290`	0.581	0.419	0.000
rs959878 lBF = `14.1867` Chr`20` : `17,068,415`	0.580	0.420	0.000
rs77261098 lBF = `14.059` Chr`7` : `137,261,899`	0.579	0.421	0.000
rs17242346 lBF = `9.05282` Chr`19` : `11,198,780`	0.578	0.422	0.000
rs34640515 lBF = `10.3518` Chr`19` : `58,401,317`	0.578	0.422	0.000
rs117704944 lBF = `28.9348` Chr`20` : `8,543,000`	0.577	0.422	0.000
rs2001097 lBF = `255.017` Chr`6` : `32,383,858`	0.577	0.423	0.000
rs72682867 lBF = `12.385` Chr`4` : `120,743,502`	0.577	0.423	0.000
rs11012732 lBF = `26.3769` Chr`10` : `21,830,104`	0.577	0.423	0.000
rs2197815 lBF = `23.6137` Chr`4` : `111,566,877`	0.577	0.423	0.000
rs3135375 lBF = `252.934` Chr`6` : `32,385,573`	0.576	0.423	0.000
rs2001099 lBF = `248.681` Chr`6` : `32,383,633`	0.576	0.424	0.000
rs2213580 lBF = `254.152` Chr`6` : `32,388,574`	0.576	0.424	0.000
rs2187820 lBF = `254.383` Chr`6` : `32,385,873`	0.576	0.424	0.000
rs2395161 lBF = `254.328` Chr`6` : `32,387,752`	0.575	0.425	0.000
rs3135376 lBF = `255.205` Chr`6` : `32,385,470`	0.575	0.425	0.000
rs148909372 lBF = `11.2024` Chr`3` : `15,576,104`	0.575	0.425	0.000
rs3135374 lBF = `253.889` Chr`6` : `32,385,605`	0.575	0.425	0.000
rs73537455 lBF = `15.0818` Chr`19` : `19,299,431`	0.575	0.425	0.000
rs6938239 lBF = `34.3464` Chr`6` : `34,683,635`	0.574	0.426	0.000
rs2395167 lBF = `254.059` Chr`6` : `32,388,308`	0.574	0.426	0.000
rs3135378 lBF = `254.2` Chr`6` : `32,385,099`	0.574	0.426	0.000
rs9268534 lBF = `250.564` Chr`6` : `32,383,307`	0.573	0.427	0.000
rs76547981 lBF = `10.2504` Chr`1` : `81,547,822`	0.572	0.428	0.000
rs117811601 lBF = `12.5145` Chr`13` : `109,010,696`	0.572	0.428	0.000
rs994866 lBF = `11.7785` Chr`20` : `17,152,872`	0.571	0.429	0.000
rs3135372 lBF = `253.556` Chr`6` : `32,385,782`	0.571	0.429	0.000
rs1535039 lBF = `224.978` Chr`6` : `29,411,432`	0.570	0.430	0.000
rs117458067 lBF = `15.4786` Chr`15` : `61,951,318`	0.570	0.430	0.000
rs7170930 lBF = `4.48048` Chr`15` : `66,580,853`	0.569	0.431	0.000
rs16894959 lBF = `30.3222` Chr`6` : `34,825,662`	0.569	0.431	0.000
rs79686877 lBF = `9.19496` Chr`7` : `6,417,836`	0.567	0.433	0.000
rs17666226 lBF = `6.76342` Chr`18` : `49,166,695`	0.567	0.433	0.000
rs117655850 lBF = `10.086` Chr`15` : `87,222,097`	0.567	0.433	0.000
rs116990435 lBF = `16.0291` Chr`21` : `42,048,274`	0.567	0.433	0.000
rs61948673 lBF = `13.993` Chr`13` : `47,517,450`	0.567	0.433	0.000
rs1008977 lBF = `9.74733` Chr`17` : `10,709,674`	0.567	0.433	0.000
rs2744971 lBF = `35.63` Chr`6` : `34,581,636`	0.567	0.433	0.000
rs2395171 lBF = `254.469` Chr`6` : `32,394,537`	0.565	0.435	0.000
rs6964235 lBF = `13.3459` Chr`7` : `123,304,368`	0.564	0.435	0.000
rs79462828 lBF = `12.037` Chr`19` : `58,433,440`	0.564	0.436	0.000
rs79045038 lBF = `6.0483` Chr`17` : `66,397,041`	0.564	0.436	0.000
rs116985836 lBF = `12.7976` Chr`14` : `41,256,353`	0.563	0.437	0.000
rs114423144 lBF = `13.6872` Chr`2` : `119,230,855`	0.563	0.437	0.000
rs45520142 lBF = `10.8117` Chr`14` : `30,149,560`	0.562	0.438	0.000
rs75293791 lBF = `24.7863` Chr`2` : `102,767,023`	0.562	0.438	0.000
rs75341787 lBF = `15.3097` Chr`2` : `235,088,991`	0.560	0.440	0.000
rs480688 lBF = `5.54142` Chr`3` : `165,417,999`	0.560	0.440	0.000
rs196586 lBF = `13.7618` Chr`7` : `36,320,821`	0.559	0.441	0.000
rs7001413 lBF = `5.40312` Chr`8` : `75,010,233`	0.558	0.442	0.000
rs6930571 lBF = `253.113` Chr`6` : `32,383,208`	0.558	0.442	0.000
rs72649226 lBF = `15.4053` Chr`8` : `64,550,665`	0.557	0.442	0.000
rs4632337 lBF = `14.828` Chr`2` : `216,766,065`	0.557	0.443	0.000
rs442694 lBF = `223.716` Chr`6` : `29,356,687`	0.557	0.443	0.000
rs9267663 lBF = `28.9406` Chr`6` : `31,867,253`	0.556	0.444	0.000
rs79523270 lBF = `9.90193` Chr`16` : `88,443,748`	0.556	0.444	0.000
rs3117427 lBF = `198.849` Chr`6` : `29,274,136`	0.556	0.444	0.000
rs3135394 lBF = `366.334` Chr`6` : `32,408,497`	0.556	0.444	0.000
rs9267665 lBF = `30.496` Chr`6` : `31,870,856`	0.556	0.444	0.000
rs75807633 lBF = `18.3777` Chr`6` : `135,495,020`	0.555	0.445	0.000
rs2746150 lBF = `227.263` Chr`6` : `29,442,701`	0.555	0.445	0.000
rs117155878 lBF = `14.6868` Chr`11` : `13,331,323`	0.555	0.445	0.000
rs76861960 lBF = `13.3651` Chr`16` : `77,599,439`	0.555	0.445	0.000
rs79050343 lBF = `8.99835` Chr`11` : `124,087,817`	0.554	0.445	0.000
rs114850483 lBF = `16.0626` Chr`3` : `5,754,763`	0.554	0.445	0.000
rs75169866 lBF = `7.2961` Chr`3` : `15,819,505`	0.554	0.446	0.000
rs404240 lBF = `232.726` Chr`6` : `29,523,957`	0.554	0.446	0.000
rs1233491 lBF = `226.91` Chr`6` : `29,461,730`	0.553	0.447	0.000
rs2523443 lBF = `227.406` Chr`6` : `29,415,464`	0.553	0.447	0.000
rs117023793 lBF = `15.2441` Chr`15` : `32,065,095`	0.553	0.447	0.000
rs79294293 lBF = `13.492` Chr`10` : `111,250,926`	0.553	0.447	0.000
rs227882 lBF = `8.42146` Chr`20` : `46,778,108`	0.553	0.447	0.000
rs1794282 lBF = `363.829` Chr`6` : `32,666,526`	0.552	0.448	0.000
rs1233489 lBF = `226.669` Chr`6` : `29,463,043`	0.551	0.449	0.000
rs12616962 lBF = `15.3337` Chr`2` : `155,628,974`	0.551	0.449	0.000
rs3117099 lBF = `87.0702` Chr`6` : `32,358,270`	0.551	0.449	0.000
rs79916183 lBF = `24.1831` Chr`2` : `235,146,741`	0.550	0.450	0.000
rs78840173 lBF = `18.6712` Chr`4` : `150,134,577`	0.550	0.450	0.000
rs113898198 lBF = `14.1328` Chr`5` : `113,603,570`	0.550	0.450	0.000
rs114632267 lBF = `14.7346` Chr`5` : `94,228,968`	0.548	0.452	0.000
rs17741506 lBF = `13.2067` Chr`19` : `58,458,516`	0.548	0.452	0.000
rs76096212 lBF = `15.6075` Chr`5` : `141,798,931`	0.547	0.453	0.000
rs2894254 lBF = `365.676` Chr`6` : `32,345,689`	0.547	0.453	0.000
rs117124364 lBF = `1.90172` Chr`21` : `34,369,761`	0.547	0.453	0.000
rs75722873 lBF = `14.839` Chr`4` : `14,811,981`	0.546	0.454	0.000
rs75737817 lBF = `15.4796` Chr`10` : `3,868,557`	0.545	0.455	0.000
rs2286251 lBF = `14.6643` Chr`7` : `107,702,877`	0.545	0.455	0.000
rs79124699 lBF = `7.72862` Chr`17` : `64,093,897`	0.544	0.455	0.000
rs55723035 lBF = `12.5757` Chr`16` : `75,490,145`	0.544	0.456	0.000
rs2256974 lBF = `41.9833` Chr`6` : `31,555,392`	0.000	0.456	0.544
rs77006161 lBF = `19.5553` Chr`11` : `81,998,848`	0.544	0.456	0.000
rs74934799 lBF = `13.1374` Chr`16` : `75,468,490`	0.544	0.456	0.000
rs62057608 lBF = `5.08013` Chr`16` : `34,682,193`	0.544	0.456	0.000
rs114333031 lBF = `14.2987` Chr`4` : `54,774,510`	0.543	0.456	0.000
rs12770994 lBF = `5.42363` Chr`10` : `60,432,645`	0.543	0.457	0.000
rs74343026 lBF = `6.74894` Chr`8` : `126,258,883`	0.542	0.457	0.000
rs1360809 lBF = `18.9852` Chr`9` : `121,399,229`	0.542	0.458	0.000
rs674313 lBF = `146.852` Chr`6` : `32,578,082`	0.542	0.458	0.000
rs72712141 lBF = `11.7701` Chr`1` : `156,706,914`	0.541	0.459	0.000
rs117576029 lBF = `15.0372` Chr`18` : `33,093,123`	0.541	0.459	0.000
rs6908065 lBF = `248.402` Chr`6` : `32,383,341`	0.541	0.459	0.000
rs802568 lBF = `5.38114` Chr`7` : `145,959,243`	0.540	0.460	0.000
rs117650759 lBF = `12.6039` Chr`18` : `7,675,399`	0.540	0.460	0.000
rs117167356 lBF = `12.9266` Chr`16` : `50,029,488`	0.540	0.460	0.000
rs72780755 lBF = `12.1611` Chr`2` : `19,179,852`	0.540	0.460	0.000
rs3129945 lBF = `86.3142` Chr`6` : `32,342,537`	0.539	0.461	0.000
rs35383149 lBF = `9.98272` Chr`1` : `63,872,032`	0.539	0.461	0.000
rs113218636 lBF = `16.5944` Chr`6` : `74,893,286`	0.539	0.461	0.000
rs190542424 lBF = `2.80667` Chr`16` : `34,377,824`	0.539	0.461	0.000
rs3129843 lBF = `366.114` Chr`6` : `32,395,726`	0.539	0.461	0.000
rs114481486 lBF = `15.1462` Chr`4` : `67,890,992`	0.539	0.461	0.000
rs3800461 lBF = `38.5883` Chr`6` : `34,616,322`	0.538	0.462	0.000
rs17880984 lBF = `14.3287` Chr`3` : `3,127,122`	0.538	0.462	0.000
rs78222176 lBF = `16.052` Chr`14` : `100,115,473`	0.538	0.462	0.000
rs75258359 lBF = `8.02415` Chr`14` : `69,600,635`	0.538	0.462	0.000
rs117582629 lBF = `8.51744` Chr`16` : `12,456,402`	0.537	0.462	0.000
rs74711970 lBF = `11.4782` Chr`6` : `42,803,809`	0.537	0.463	0.000
rs114752401 lBF = `17.2608` Chr`4` : `188,730,635`	0.537	0.463	0.000
rs17580163 lBF = `15.9895` Chr`4` : `58,140,073`	0.536	0.464	0.000
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rs11044722 lBF = `15.4222` Chr`12` : `19,781,710`	0.501	0.499	0.000
rs112088213 lBF = `13.0401` Chr`10` : `134,611,681`	0.501	0.499	0.000
rs73185805 lBF = `2.62597` Chr`21` : `28,141,810`	0.501	0.499	0.000
rs73002470 lBF = `12.3392` Chr`6` : `149,403,297`	0.501	0.499	0.000
rs389884 lBF = `369.429` Chr`6` : `31,940,897`	0.501	0.499	0.000
rs34390775 lBF = `10.8706` Chr`9` : `140,702,339`	0.500	0.500	0.000
rs77327606 lBF = `11.6049` Chr`2` : `144,271,136`	0.500	0.500	0.000
rs3117439 lBF = `205.088` Chr`6` : `29,266,483`	0.500	0.500	0.000
rs78172408 lBF = `11.9224` Chr`7` : `47,619,869`	0.500	0.500	0.000
rs3116830 lBF = `213.214` Chr`6` : `29,167,575`	0.500	0.500	0.000
rs10520638 lBF = `2.90698` Chr`15` : `87,253,534`	0.499	0.500	0.000
rs429479 lBF = `220.258` Chr`6` : `29,372,323`	0.499	0.501	0.000
rs2523989 lBF = `221.533` Chr`6` : `30,078,275`	0.499	0.501	0.000
rs9268577 lBF = `36.6854` Chr`6` : `32,395,942`	0.499	0.501	0.000
rs11822525 lBF = `43.7065` Chr`11` : `15,891,299`	0.499	0.501	0.000
rs9274253 lBF = `235.721` Chr`6` : `32,631,348`	0.499	0.501	0.000
rs73189054 lBF = `14.4361` Chr`5` : `102,170,617`	0.499	0.501	0.000
rs191110373 lBF = `14.4029` Chr`11` : `132,560,671`	0.499	0.501	0.000
rs189013090 lBF = `15.7644` Chr`16` : `22,826,046`	0.499	0.501	0.000
rs6258 lBF = `5.18323` Chr`17` : `7,534,678`	0.499	0.501	0.000
rs1811197 lBF = `124.907` Chr`6` : `31,327,660`	0.499	0.501	0.000
rs79066245 lBF = `14.7907` Chr`7` : `10,283,364`	0.499	0.501	0.000
rs138585571 lBF = `9.02766` Chr`3` : `98,188,580`	0.499	0.501	0.000
rs61780598 lBF = `16.8509` Chr`1` : `53,131,770`	0.498	0.501	0.000
rs116916924 lBF = `15.3017` Chr`11` : `48,269,422`	0.498	0.501	0.000
rs116419863 lBF = `28.8746` Chr`2` : `79,917,975`	0.498	0.502	0.000
rs78857545 lBF = `9.68973` Chr`3` : `150,863,573`	0.498	0.502	0.000
rs9268861 lBF = `393.477` Chr`6` : `32,429,894`	0.498	0.502	0.000
rs17857515 lBF = `18.2473` Chr`9` : `32,542,278`	0.498	0.502	0.000
rs140436982 lBF = `4.22646` Chr`14` : `24,504,121`	0.498	0.502	0.000
rs9272346 lBF = `453.316` Chr`6` : `32,604,372`	0.498	0.502	0.000
rs1150757 lBF = `372.064` Chr`6` : `32,029,205`	0.498	0.502	0.000
rs61886293 lBF = `8.40886` Chr`11` : `39,630,698`	0.497	0.502	0.000
rs78381698 lBF = `18.5552` Chr`5` : `135,014,373`	0.497	0.503	0.000
rs1150753 lBF = `373.016` Chr`6` : `32,059,867`	0.497	0.503	0.000
rs6069806 lBF = `14.6744` Chr`20` : `55,218,701`	0.497	0.503	0.000
rs34253858 lBF = `17.8124` Chr`6` : `146,533,489`	0.497	0.503	0.000
rs118036720 lBF = `22.9077` Chr`9` : `5,408,587`	0.497	0.503	0.000
rs111910367 lBF = `13.6992` Chr`2` : `143,461,906`	0.497	0.503	0.000
rs117437287 lBF = `16.5299` Chr`12` : `23,389,839`	0.497	0.503	0.000
rs117642191 lBF = `17.4376` Chr`11` : `91,793,577`	0.496	0.503	0.000
rs117956319 lBF = `13.4307` Chr`8` : `32,191,896`	0.496	0.503	0.000
rs2535296 lBF = `120.164` Chr`6` : `31,060,219`	0.496	0.504	0.000
rs3129885 lBF = `252.857` Chr`6` : `32,410,215`	0.496	0.504	0.000
rs117251056 lBF = `29.3181` Chr`11` : `129,056,639`	0.496	0.504	0.000
rs118016817 lBF = `16.223` Chr`6` : `108,218,801`	0.496	0.504	0.000
rs9273373 lBF = `453.011` Chr`6` : `32,626,601`	0.496	0.504	0.000
rs72730632 lBF = `12.8769` Chr`5` : `13,676,982`	0.496	0.504	0.000
rs74862371 lBF = `16.8875` Chr`9` : `7,028,832`	0.496	0.504	0.000
rs17829719 lBF = `15.2172` Chr`8` : `1,824,454`	0.496	0.504	0.000
rs1480380 lBF = `75.3568` Chr`6` : `32,913,246`	0.496	0.504	0.000
rs79459684 lBF = `24.9771` Chr`5` : `111,077,948`	0.496	0.504	0.000
rs76574709 lBF = `17.264` Chr`1` : `12,743,326`	0.496	0.504	0.000
rs9266777 lBF = `27.35` Chr`6` : `31,354,200`	0.496	0.504	0.000
rs78171731 lBF = `9.24022` Chr`14` : `30,189,605`	0.495	0.504	0.000
rs78058190 lBF = `10.0519` Chr`2` : `219,699,999`	0.495	0.504	0.000
rs77525326 lBF = `11.6055` Chr`5` : `95,445,855`	0.495	0.505	0.000
rs6971778 lBF = `18.3704` Chr`7` : `10,290,706`	0.495	0.505	0.000
rs79055996 lBF = `35.9057` Chr`4` : `93,900,609`	0.495	0.505	0.000
rs117438523 lBF = `14.3842` Chr`8` : `14,577,786`	0.495	0.505	0.000
rs75480238 lBF = `16.88` Chr`7` : `104,748,764`	0.495	0.505	0.000
rs117352425 lBF = `15.9738` Chr`10` : `5,115,032`	0.494	0.506	0.000
rs113197211 lBF = `21.1599` Chr`10` : `134,615,280`	0.494	0.506	0.000
rs2814944 lBF = `36.7641` Chr`6` : `34,552,797`	0.494	0.506	0.000
rs497309 lBF = `371.735` Chr`6` : `31,892,484`	0.494	0.506	0.000
rs114165957 lBF = `23.5276` Chr`5` : `115,495,327`	0.494	0.506	0.000
rs118183808 lBF = `15.0414` Chr`16` : `71,438,393`	0.494	0.506	0.000
rs72684702 lBF = `11.0209` Chr`14` : `46,683,669`	0.494	0.506	0.000
rs117194321 lBF = `19.8711` Chr`8` : `22,491,317`	0.494	0.506	0.000
rs73211904 lBF = `15.1348` Chr`7` : `116,772,327`	0.494	0.506	0.000
rs78566849 lBF = `16.9908` Chr`5` : `156,916,452`	0.494	0.506	0.000
rs115717162 lBF = `14.5807` Chr`5` : `40,088,101`	0.493	0.506	0.000
rs62272723 lBF = `13.2782` Chr`3` : `151,963,160`	0.493	0.507	0.000
rs666636 lBF = `12.3872` Chr`16` : `56,601,720`	0.493	0.507	0.000
rs73542936 lBF = `11.6477` Chr`8` : `1,839,557`	0.493	0.507	0.000
rs2233974 lBF = `113.942` Chr`6` : `31,080,016`	0.493	0.507	0.000
rs80043425 lBF = `5.24748` Chr`5` : `52,050,702`	0.493	0.507	0.000
rs79928839 lBF = `14.2328` Chr`1` : `22,225,921`	0.493	0.507	0.000
rs118022586 lBF = `15.2786` Chr`16` : `89,001,840`	0.493	0.507	0.000
rs117531883 lBF = `20.9443` Chr`8` : `8,309,054`	0.492	0.507	0.000
rs7179400 lBF = `8.3148` Chr`15` : `94,739,583`	0.492	0.508	0.000
rs3132390 lBF = `206.328` Chr`6` : `28,832,788`	0.492	0.508	0.000
rs11069738 lBF = `14.2211` Chr`13` : `109,114,226`	0.492	0.508	0.000
rs62354080 lBF = `15.2122` Chr`4` : `188,370,696`	0.492	0.508	0.000
rs74303283 lBF = `9.56504` Chr`7` : `129,629,340`	0.492	0.508	0.000
rs7554182 lBF = `3.02734` Chr`1` : `182,021,283`	0.492	0.508	0.000
rs10020951 lBF = `12.5867` Chr`4` : `28,372,837`	0.492	0.508	0.000
rs61813875 lBF = `3.16834` Chr`1` : `152,536,650`	0.492	0.508	0.000
rs56005336 lBF = `20.0755` Chr`6` : `34,144,189`	0.491	0.508	0.000
rs12539417 lBF = `18.0477` Chr`7` : `135,720,705`	0.491	0.509	0.000
rs1233619 lBF = `203.327` Chr`6` : `28,745,452`	0.491	0.509	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 X0186

log Bayes Factor = 35.9761

contains 2 variants

0.3083

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.0649

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.9550

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.9548

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.9439

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.9428

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.9359

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.9248

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.9154

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.8993

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.8734

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.8731

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.8548

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.8444

Cluster X0160

log Bayes Factor = 99.5328

contains 9 variants

0.8442

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.8361

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.8327

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.8251

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.8210

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.8155

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.8107

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.8105

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.8087

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.8056

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.7991

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.7890

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.7881

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.7681

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.7623

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.7561

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.7559

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.7539

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.7494

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.7463

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.7364

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.7353

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.7243

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.7173

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.7162

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7153

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.7152

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.7146

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.7140

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.7106

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.7094

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7089

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.7057

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.7048

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.7046

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.7040

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.7037

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.7033

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.7004

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.6974

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.6967

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.6946

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.6926

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.6921

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.6920

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.6915

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.6903

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.6897

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.6895

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.6893

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.6880

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.6866

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.6861

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.6849

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.6842

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.6838

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.6827

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.6792

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.6777

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.6774

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.6751

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.6742

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.6735

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.6707

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.6669

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.6648

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.6643

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.6643

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.6565

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.6540

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.6540

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.6532

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.6465

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.6446

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.6428

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.6417

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.6415

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.6405

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.6394

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.6332

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.6302

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.6272

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.6258

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.6247

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.6239

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.6237

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.6235

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.6230

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.6186

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.6184

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.6132

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.6120

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.6114

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.6109

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.6108

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.6065

Cluster X0060

log Bayes Factor = 242.413

contains 5 variants

0.6047

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.5983

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.5932

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.5902

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.5902

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.5872

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.5867

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.5867

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.5840

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.5825

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.5823

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.5804

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.5801

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.5792

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.5765

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.5757

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.5750

Cluster X0339

log Bayes Factor = 56.078

contains 2 variants

0.5720

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.5709

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.5705

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.5664

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.5652

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.5636

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.5552

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.5460

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.5429

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.5426

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.5400

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.5345

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.5344

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.5342

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.5306

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.5293

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.5267

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.5254

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.5244

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.5221

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.5206

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.5192

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.5159

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.5157

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.5145

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.5137

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.5135

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.5097

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.5094

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.4987

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.4970

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.4960

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.4943

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.4885

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.4837

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.4696

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.4637

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.4537

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.4387

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.4328

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.4172

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.4125

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.4123

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.4119

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.4103

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.4091

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.4044

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.4034

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.3990

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.3972

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.3863

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.3786

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.3631

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.3622

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.3572

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.3519

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.3494

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.3467

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.3348

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.3240

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.3216

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.3085

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.3003

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.2968

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.2943

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.2902

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.2869

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.2805

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.2323

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.2210

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.2204

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.2172

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.2077

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.2077

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.1927

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.1733

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.1699

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.1672

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.1604

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.1501

Cluster X0207

log Bayes Factor = 94.6548

contains 2 variants

0.1455

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.0945

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.0614

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.0609

Cluster X0173

log Bayes Factor = 654.164

contains 9 variants

0.0578

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`)