TreeWAS – [F99] Mental disorder, not otherwise specified

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
rs17221323 lBF = `3.71226` Chr`10` : `618,685`	0.956	0.044	0.000
rs12710729 lBF = `5.40936` Chr`2` : `19,973,210`	0.952	0.048	0.000
rs7714832 lBF = `8.63638` Chr`5` : `149,675,169`	0.945	0.055	0.000
rs2112095 lBF = `10.2299` Chr`2` : `41,229,015`	0.920	0.080	0.000
rs6681460 lBF = `3.57971` Chr`1` : `67,123,057`	0.913	0.087	0.000
rs13107325 lBF = `35.3497` Chr`4` : `103,188,709`	0.902	0.098	0.000
rs10490871 lBF = `6.36422` Chr`3` : `35,667,761`	0.895	0.105	0.000
rs35518360 lBF = `28.5071` Chr`4` : `103,146,890`	0.892	0.108	0.000
rs611914 lBF = `9.70608` Chr`3` : `53,512,550`	0.890	0.110	0.000
rs13135092 lBF = `37.6514` Chr`4` : `103,198,082`	0.889	0.111	0.000
rs116979850 lBF = `12.7633` Chr`7` : `94,554,975`	0.860	0.140	0.000
rs4815020 lBF = `12.6351` Chr`20` : `21,077,772`	0.858	0.142	0.000
rs16888648 lBF = `8.01812` Chr`8` : `39,884,165`	0.858	0.142	0.000
rs112671876 lBF = `6.46431` Chr`2` : `78,908,449`	0.849	0.151	0.000
rs62095487 lBF = `8.49554` Chr`18` : `10,588,095`	0.841	0.159	0.000
rs11758000 lBF = `15.1787` Chr`6` : `124,947,642`	0.841	0.159	0.000
rs10975740 lBF = `5.23448` Chr`9` : `676,741`	0.841	0.159	0.000
rs6712932 lBF = `5.4522` Chr`2` : `105,837,598`	0.841	0.159	0.000
rs6755097 lBF = `8.53243` Chr`2` : `196,116,079`	0.826	0.174	0.000
rs4666563 lBF = `8.16748` Chr`2` : `19,948,952`	0.821	0.179	0.000
rs74252946 lBF = `13.4758` Chr`17` : `10,125,196`	0.819	0.181	0.000
rs1393275 lBF = `5.74847` Chr`11` : `115,655,434`	0.817	0.183	0.000
rs79729399 lBF = `15.9853` Chr`11` : `122,325,414`	0.816	0.184	0.000
rs116869561 lBF = `11.863` Chr`13` : `91,230,333`	0.816	0.184	0.000
rs79411886 lBF = `11.4958` Chr`7` : `94,561,983`	0.815	0.185	0.000
rs13137792 lBF = `5.15648` Chr`4` : `178,198,741`	0.812	0.188	0.000
rs113248159 lBF = `16.4871` Chr`7` : `18,549,246`	0.805	0.195	0.000
rs76925404 lBF = `5.75099` Chr`1` : `224,997,365`	0.804	0.196	0.000
rs9394047 lBF = `14.8238` Chr`6` : `31,236,250`	0.804	0.196	0.000
rs73086940 lBF = `15.2945` Chr`20` : `10,871,255`	0.804	0.196	0.000
rs10490877 lBF = `11.5182` Chr`3` : `188,654,595`	0.802	0.198	0.000
rs1324087 lBF = `95.6518` Chr`6` : `25,841,408`	0.801	0.199	0.000
rs61756411 lBF = `14.7561` Chr`4` : `76,809,396`	0.795	0.205	0.000
rs35420030 lBF = `5.6979` Chr`16` : `53,935,407`	0.794	0.206	0.000
rs78785836 lBF = `21.9706` Chr`4` : `9,844,767`	0.794	0.206	0.000
rs2834812 lBF = `1.53993` Chr`21` : `36,533,662`	0.794	0.206	0.000
rs12589674 lBF = `5.86884` Chr`14` : `54,246,353`	0.793	0.207	0.000
rs1912126 lBF = `13.4365` Chr`2` : `145,851,991`	0.790	0.210	0.000
rs804566 lBF = `14.0005` Chr`20` : `22,151,358`	0.789	0.211	0.000
rs34592089 lBF = `21.2227` Chr`4` : `102,926,923`	0.788	0.212	0.000
rs1805860 lBF = `6.63278` Chr`8` : `91,022,867`	0.787	0.213	0.000
rs75421114 lBF = `9.7401` Chr`15` : `98,217,518`	0.781	0.219	0.000
rs56201661 lBF = `19.276` Chr`3` : `189,658,609`	0.779	0.221	0.000
rs6751558 lBF = `9.74288` Chr`2` : `146,592,046`	0.778	0.222	0.000
rs61737465 lBF = `7.70302` Chr`7` : `94,540,527`	0.773	0.227	0.000
rs17885543 lBF = `13.9498` Chr`13` : `96,415,816`	0.773	0.227	0.000
rs1867631 lBF = `1.63686` Chr`1` : `67,046,126`	0.773	0.227	0.000
rs704080 lBF = `11.6648` Chr`12` : `89,749,223`	0.772	0.228	0.000
rs548987 lBF = `92.1448` Chr`6` : `25,869,371`	0.770	0.230	0.000
rs6798318 lBF = `15.5218` Chr`3` : `81,391,273`	0.770	0.230	0.000
rs7767775 lBF = `5.28036` Chr`6` : `170,701,194`	0.768	0.232	0.000
rs76061879 lBF = `12.1608` Chr`7` : `50,902,861`	0.768	0.232	0.000
rs114640135 lBF = `22.4698` Chr`2` : `194,417,472`	0.766	0.234	0.000
rs6973517 lBF = `6.61808` Chr`7` : `122,507,282`	0.766	0.234	0.000
rs11758636 lBF = `6.63593` Chr`6` : `27,229,561`	0.765	0.235	0.000
rs7190458 lBF = `4.70261` Chr`16` : `75,263,661`	0.764	0.236	0.000
rs10835606 lBF = `6.93759` Chr`11` : `30,004,238`	0.764	0.236	0.000
rs501220 lBF = `90.8209` Chr`6` : `25,873,025`	0.764	0.236	0.000
rs10404732 lBF = `11.9177` Chr`19` : `22,809,599`	0.763	0.237	0.000
rs72833265 lBF = `8.47148` Chr`6` : `22,664,716`	0.762	0.238	0.000
rs1324088 lBF = `94.6116` Chr`6` : `25,841,122`	0.762	0.238	0.000
rs969088 lBF = `5.66242` Chr`5` : `26,389,262`	0.761	0.239	0.000
rs4363479 lBF = `8.78577` Chr`1` : `202,112,285`	0.761	0.239	0.000
rs75697640 lBF = `11.8685` Chr`5` : `61,428,150`	0.759	0.241	0.000
rs76653830 lBF = `9.27013` Chr`16` : `84,836,091`	0.758	0.241	0.000
rs5030965 lBF = `7.66452` Chr`6` : `27,216,699`	0.758	0.242	0.000
rs111331141 lBF = `13.3373` Chr`6` : `31,400,947`	0.756	0.243	0.000
rs4512312 lBF = `11.8219` Chr`7` : `89,728,252`	0.755	0.245	0.000
rs73023170 lBF = `12.1533` Chr`3` : `11,630,099`	0.755	0.245	0.000
rs17783658 lBF = `5.27728` Chr`6` : `81,762,310`	0.754	0.246	0.000
rs17028048 lBF = `11.7118` Chr`1` : `112,129,736`	0.753	0.247	0.000
rs117932080 lBF = `25.9049` Chr`15` : `93,875,227`	0.752	0.248	0.000
rs78446584 lBF = `7.86467` Chr`2` : `130,663,894`	0.752	0.248	0.000
rs117473873 lBF = `9.65269` Chr`15` : `53,024,679`	0.752	0.248	0.000
rs17511643 lBF = `7.08446` Chr`14` : `79,666,567`	0.751	0.249	0.000
rs17237098 lBF = `8.24732` Chr`3` : `185,176,901`	0.751	0.249	0.000
rs830478 lBF = `9.24249` Chr`8` : `73,372,875`	0.750	0.250	0.000
rs113294279 lBF = `8.41477` Chr`19` : `23,089,268`	0.750	0.250	0.000
rs75207346 lBF = `11.4709` Chr`13` : `39,925,227`	0.749	0.251	0.000
rs78687901 lBF = `17.8934` Chr`3` : `173,074,141`	0.748	0.252	0.000
rs7146393 lBF = `7.92483` Chr`14` : `32,787,754`	0.748	0.252	0.000
rs62295986 lBF = `9.09224` Chr`3` : `169,354,710`	0.747	0.253	0.000
rs75169866 lBF = `7.2961` Chr`3` : `15,819,505`	0.747	0.253	0.000
rs6803875 lBF = `6.51206` Chr`3` : `23,163,716`	0.746	0.254	0.000
rs1165168 lBF = `95.143` Chr`6` : `25,859,508`	0.746	0.254	0.000
rs62355136 lBF = `13.1622` Chr`5` : `30,714,599`	0.742	0.257	0.000
rs17045328 lBF = `3.22095` Chr`1` : `207,652,176`	0.742	0.258	0.000
rs345166 lBF = `7.71775` Chr`17` : `58,209,589`	0.742	0.258	0.000
rs75444639 lBF = `32.0405` Chr`1` : `232,117,041`	0.742	0.258	0.000
rs148909372 lBF = `11.2024` Chr`3` : `15,576,104`	0.742	0.258	0.000
rs77685854 lBF = `10.8777` Chr`3` : `32,897,040`	0.737	0.263	0.000
rs114520588 lBF = `15.0452` Chr`5` : `102,609,139`	0.737	0.263	0.000
rs75363655 lBF = `22.4716` Chr`4` : `13,285,624`	0.737	0.263	0.000
rs10226831 lBF = `8.59368` Chr`7` : `38,600,741`	0.737	0.263	0.000
rs80314069 lBF = `14.1714` Chr`2` : `194,597,305`	0.736	0.264	0.000
rs73156729 lBF = `24.0018` Chr`22` : `31,319,187`	0.736	0.264	0.000
rs12925413 lBF = `8.50475` Chr`16` : `7,241,628`	0.735	0.265	0.000
rs117914579 lBF = `12.095` Chr`14` : `93,099,890`	0.734	0.266	0.000
rs16891264 lBF = `98.1636` Chr`6` : `26,072,445`	0.732	0.267	0.000
rs117422606 lBF = `12.1156` Chr`14` : `40,206,769`	0.732	0.268	0.000
rs8102610 lBF = `18.6414` Chr`19` : `22,936,708`	0.731	0.269	0.000
rs71638410 lBF = `25.1393` Chr`1` : `232,107,430`	0.730	0.270	0.000
rs9918841 lBF = `16.249` Chr`8` : `91,193,959`	0.729	0.270	0.000
rs80087214 lBF = `11.2696` Chr`5` : `56,789,655`	0.729	0.271	0.000
rs2273565 lBF = `6.83534` Chr`6` : `27,222,974`	0.729	0.271	0.000
rs17532397 lBF = `5.55012` Chr`7` : `80,796,081`	0.729	0.271	0.000
rs75059066 lBF = `5.824` Chr`9` : `14,373,551`	0.728	0.272	0.000
rs116211639 lBF = `16.8079` Chr`1` : `33,400,355`	0.728	0.272	0.000
rs76054655 lBF = `10.3188` Chr`2` : `50,744,940`	0.727	0.273	0.000
rs17513600 lBF = `7.68406` Chr`5` : `110,152,701`	0.726	0.274	0.000
rs62221577 lBF = `8.78053` Chr`21` : `33,164,508`	0.725	0.275	0.000
rs61894547 lBF = `16.1527` Chr`11` : `76,248,630`	0.725	0.275	0.000
rs12051658 lBF = `12.3416` Chr`17` : `34,315,633`	0.724	0.276	0.000
rs17863057 lBF = `17.0844` Chr`7` : `89,897,703`	0.723	0.277	0.000
rs9984110 lBF = `5.56` Chr`21` : `31,447,366`	0.722	0.278	0.000
rs113602630 lBF = `7.75987` Chr`3` : `121,767,098`	0.722	0.278	0.000
rs629444 lBF = `92.5054` Chr`6` : `25,885,814`	0.721	0.279	0.000
rs523383 lBF = `87.9986` Chr`6` : `25,869,848`	0.720	0.280	0.000
rs77224575 lBF = `13.6199` Chr`11` : `134,322,631`	0.720	0.280	0.000
rs76547981 lBF = `10.2504` Chr`1` : `81,547,822`	0.720	0.280	0.000
rs71617099 lBF = `17.4399` Chr`4` : `180,918,453`	0.720	0.280	0.000
rs12536985 lBF = `30.6778` Chr`7` : `18,396,960`	0.717	0.283	0.000
rs11767851 lBF = `7.93857` Chr`7` : `8,183,347`	0.716	0.283	0.000
rs35458303 lBF = `7.51936` Chr`14` : `21,923,368`	0.715	0.285	0.000
rs17050689 lBF = `10.74` Chr`4` : `130,767,899`	0.715	0.285	0.000
rs7748167 lBF = `88.1606` Chr`6` : `25,904,652`	0.714	0.286	0.000
rs117256623 lBF = `13.2359` Chr`10` : `123,454,174`	0.714	0.286	0.000
rs67954219 lBF = `5.97135` Chr`10` : `10,579,021`	0.714	0.286	0.000
rs4523128 lBF = `67.5153` Chr`6` : `31,269,382`	0.713	0.287	0.000
rs659112 lBF = `11.7339` Chr`1` : `39,270,873`	0.712	0.288	0.000
rs111932090 lBF = `8.81436` Chr`3` : `155,268,658`	0.712	0.288	0.000
rs116795853 lBF = `17.0163` Chr`6` : `31,373,985`	0.711	0.289	0.000
rs13085381 lBF = `10.9304` Chr`3` : `145,972,179`	0.710	0.290	0.000
rs12321507 lBF = `16.2879` Chr`12` : `96,134,818`	0.708	0.291	0.000
rs117194321 lBF = `19.8711` Chr`8` : `22,491,317`	0.708	0.292	0.000
rs2394967 lBF = `67.3079` Chr`6` : `31,269,129`	0.707	0.293	0.000
rs41313890 lBF = `16.9354` Chr`1` : `201,932,181`	0.707	0.293	0.000
rs79962977 lBF = `17.5516` Chr`3` : `177,306,170`	0.706	0.294	0.000
rs113310853 lBF = `16.828` Chr`6` : `31,405,598`	0.704	0.296	0.000
rs76176567 lBF = `14.1328` Chr`14` : `52,870,219`	0.704	0.296	0.000
rs11108227 lBF = `16.4201` Chr`12` : `96,134,001`	0.704	0.296	0.000
rs9461222 lBF = `92.7631` Chr`6` : `25,905,111`	0.704	0.296	0.000
rs117071573 lBF = `13.8337` Chr`7` : `82,033,613`	0.703	0.297	0.000
rs8058295 lBF = `1.23133` Chr`16` : `9,911,386`	0.702	0.298	0.000
rs16861990 lBF = `159.764` Chr`1` : `169,135,127`	0.701	0.299	0.000
rs116485796 lBF = `8.88422` Chr`3` : `133,612,103`	0.701	0.299	0.000
rs13200161 lBF = `51.0311` Chr`6` : `28,038,188`	0.701	0.299	0.000
rs13207673 lBF = `93.5111` Chr`6` : `25,901,133`	0.701	0.299	0.000
rs118118740 lBF = `29.2075` Chr`14` : `102,482,939`	0.700	0.300	0.000
rs75123980 lBF = `11.1185` Chr`1` : `159,798,486`	0.698	0.302	0.000
rs113901367 lBF = `17.9835` Chr`6` : `31,382,015`	0.698	0.302	0.000
rs74767006 lBF = `9.9283` Chr`7` : `25,076,186`	0.698	0.302	0.000
rs7756047 lBF = `8.51794` Chr`6` : `100,626,847`	0.698	0.302	0.000
rs118036322 lBF = `17.3823` Chr`15` : `54,331,986`	0.697	0.303	0.000
rs73402213 lBF = `16.1094` Chr`6` : `31,387,288`	0.697	0.303	0.000
rs114663629 lBF = `16.239` Chr`1` : `164,693,143`	0.697	0.303	0.000
rs111242499 lBF = `16.3667` Chr`6` : `31,409,313`	0.696	0.304	0.000
rs73114499 lBF = `8.70598` Chr`7` : `38,967,240`	0.696	0.304	0.000
rs112729487 lBF = `16.3862` Chr`6` : `31,390,610`	0.696	0.304	0.000
rs117733335 lBF = `14.2344` Chr`11` : `6,473,013`	0.695	0.305	0.000
rs62141431 lBF = `10.2305` Chr`2` : `80,342,942`	0.695	0.305	0.000
rs112111750 lBF = `17.006` Chr`6` : `31,389,968`	0.695	0.305	0.000
rs60543763 lBF = `16.492` Chr`6` : `31,387,515`	0.695	0.305	0.000
rs41560824 lBF = `17.2292` Chr`6` : `31,379,043`	0.694	0.306	0.000
rs117161928 lBF = `6.02809` Chr`14` : `94,391,705`	0.694	0.306	0.000
rs17528414 lBF = `17.7734` Chr`12` : `32,352,055`	0.694	0.306	0.000
rs9295984 lBF = `68.201` Chr`6` : `31,317,697`	0.694	0.306	0.000
rs74203920 lBF = `13.9618` Chr`21` : `45,714,294`	0.693	0.307	0.000
rs41545213 lBF = `16.9258` Chr`6` : `31,382,910`	0.693	0.307	0.000
rs62387661 lBF = `9.25318` Chr`6` : `16,084,392`	0.693	0.307	0.000
rs913351 lBF = `10.5594` Chr`9` : `130,033,547`	0.693	0.307	0.000
rs117287788 lBF = `11.4839` Chr`14` : `37,059,846`	0.692	0.308	0.000
rs77649004 lBF = `14.247` Chr`12` : `96,135,916`	0.692	0.308	0.000
rs1243507 lBF = `18.6876` Chr`14` : `95,314,433`	0.692	0.308	0.000
rs117420945 lBF = `15.4093` Chr`14` : `75,662,480`	0.691	0.309	0.000
rs73030679 lBF = `10.1305` Chr`3` : `15,937,127`	0.691	0.309	0.000
rs75737817 lBF = `15.4796` Chr`10` : `3,868,557`	0.691	0.309	0.000
rs76760096 lBF = `16.3547` Chr`3` : `80,845,720`	0.691	0.309	0.000
rs41545814 lBF = `16.656` Chr`6` : `31,382,893`	0.691	0.309	0.000
rs62002515 lBF = `10.786` Chr`15` : `59,296,838`	0.691	0.309	0.000
rs989112 lBF = `13.242` Chr`4` : `171,787,558`	0.688	0.312	0.000
rs77118716 lBF = `8.9984` Chr`1` : `202,125,495`	0.688	0.312	0.000
rs4134947 lBF = `11.4935` Chr`6` : `20,483,770`	0.686	0.314	0.000
rs6679342 lBF = `13.0009` Chr`1` : `81,656,935`	0.686	0.314	0.000
rs113424809 lBF = `14.5422` Chr`6` : `31,391,262`	0.686	0.314	0.000
rs77616023 lBF = `8.20137` Chr`8` : `57,336,601`	0.686	0.314	0.000
rs16966918 lBF = `2.38483` Chr`13` : `106,248,033`	0.685	0.315	0.000
rs2981145 lBF = `12.2328` Chr`8` : `39,865,119`	0.685	0.315	0.000
rs79286341 lBF = `7.56117` Chr`20` : `7,247,806`	0.685	0.315	0.000
rs4868006 lBF = `10.7407` Chr`5` : `170,076,605`	0.685	0.315	0.000
rs3118362 lBF = `108.751` Chr`6` : `28,785,085`	0.685	0.315	0.000
rs34525648 lBF = `92.1633` Chr`6` : `25,914,853`	0.685	0.315	0.000
rs112767144 lBF = `30.2394` Chr`8` : `134,263,916`	0.684	0.315	0.000
rs9493873 lBF = `5.52086` Chr`6` : `134,576,511`	0.684	0.316	0.000
rs4648 lBF = `17.381` Chr`1` : `201,934,578`	0.684	0.316	0.000
rs77052769 lBF = `10.5998` Chr`7` : `152,982,114`	0.684	0.316	0.000
rs8107169 lBF = `12.2513` Chr`19` : `22,915,253`	0.684	0.316	0.000
rs75564153 lBF = `12.9648` Chr`4` : `126,393,692`	0.683	0.316	0.000
rs13061465 lBF = `14.9946` Chr`3` : `72,568,369`	0.683	0.317	0.000
rs61740110 lBF = `13.1325` Chr`19` : `22,942,335`	0.683	0.317	0.000
rs79944777 lBF = `10.9261` Chr`12` : `73,011,538`	0.682	0.318	0.000
rs79434560 lBF = `18.5118` Chr`15` : `67,049,150`	0.682	0.318	0.000
rs429358 lBF = `222.835` Chr`19` : `45,411,941`	0.682	0.318	0.000
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rs1639114 lBF = `20.5335` Chr`6` : `31,219,224`	0.616	0.384	0.000
rs117814185 lBF = `13.8032` Chr`7` : `130,532,260`	0.616	0.384	0.000
rs117141652 lBF = `13.9446` Chr`6` : `112,465,118`	0.615	0.384	0.000
rs2046210 lBF = `11.8946` Chr`6` : `151,948,366`	0.616	0.384	0.000
rs885701 lBF = `24.8951` Chr`6` : `31,143,900`	0.615	0.385	0.000
rs17320971 lBF = `5.32299` Chr`17` : `40,546,917`	0.615	0.385	0.000
rs76108901 lBF = `3.98207` Chr`7` : `117,674,806`	0.615	0.385	0.000
rs1345274 lBF = `23.6419` Chr`6` : `31,190,627`	0.615	0.385	0.000
rs73207492 lBF = `11.564` Chr`13` : `58,334,359`	0.615	0.385	0.000
rs58950125 lBF = `19.7195` Chr`9` : `10,382,986`	0.615	0.385	0.000
rs115555031 lBF = `15.0191` Chr`1` : `240,726,984`	0.615	0.385	0.000
rs78294386 lBF = `14.58` Chr`12` : `107,963,652`	0.615	0.385	0.000
rs114214374 lBF = `16.21` Chr`6` : `31,254,015`	0.615	0.385	0.000
rs117576029 lBF = `15.0372` Chr`18` : `33,093,123`	0.614	0.385	0.000
rs74862371 lBF = `16.8875` Chr`9` : `7,028,832`	0.614	0.386	0.000
rs12863935 lBF = `20.8798` Chr`13` : `23,971,938`	0.614	0.386	0.000
rs34785368 lBF = `15.6724` Chr`13` : `62,810,930`	0.614	0.386	0.000
rs12443701 lBF = `16.477` Chr`16` : `77,302,444`	0.614	0.386	0.000
rs114341818 lBF = `20.4453` Chr`6` : `30,844,081`	0.614	0.386	0.000
rs77498573 lBF = `9.8696` Chr`11` : `48,350,646`	0.614	0.386	0.000
rs2357667 lBF = `2.503` Chr`8` : `66,955,437`	0.614	0.386	0.000
rs117351200 lBF = `16.467` Chr`11` : `47,987,630`	0.613	0.387	0.000
rs17408309 lBF = `14.2638` Chr`9` : `71,632,265`	0.613	0.387	0.000
rs12772609 lBF = `14.1883` Chr`10` : `126,378,406`	0.613	0.387	0.000
rs61988316 lBF = `17.5259` Chr`14` : `35,888,993`	0.613	0.387	0.000
rs78288301 lBF = `12.7347` Chr`6` : `33,887,984`	0.613	0.387	0.000
rs11571358 lBF = `14.967` Chr`17` : `6,899,106`	0.613	0.387	0.000
rs881826 lBF = `5.51054` Chr`6` : `112,301,625`	0.613	0.387	0.000
rs11784849 lBF = `14.957` Chr`8` : `75,144,736`	0.612	0.388	0.000
rs143200770 lBF = `1.87489` Chr`4` : `167,731,888`	0.612	0.388	0.000
rs118027503 lBF = `5.17072` Chr`18` : `77,687,518`	0.612	0.388	0.000
rs62378043 lBF = `12.7136` Chr`5` : `117,199,683`	0.612	0.388	0.000
rs56181521 lBF = `10.1619` Chr`10` : `29,465,241`	0.612	0.388	0.000
rs78169600 lBF = `11.2968` Chr`1` : `31,462,683`	0.611	0.388	0.000
rs12141644 lBF = `14.0953` Chr`1` : `202,125,994`	0.611	0.389	0.000
rs77441939 lBF = `14.762` Chr`19` : `13,479,999`	0.611	0.389	0.000
rs56269309 lBF = `12.8645` Chr`12` : `127,453,025`	0.610	0.390	0.000
rs72780755 lBF = `12.1611` Chr`2` : `19,179,852`	0.610	0.390	0.000
rs117556572 lBF = `18.3262` Chr`13` : `105,088,917`	0.610	0.390	0.000
rs17545824 lBF = `6.53432` Chr`5` : `110,877,600`	0.610	0.390	0.000
rs994866 lBF = `11.7785` Chr`20` : `17,152,872`	0.610	0.390	0.000
rs7810984 lBF = `11.2791` Chr`7` : `141,761,438`	0.610	0.390	0.000
rs479180 lBF = `19.7673` Chr`20` : `48,212,105`	0.609	0.391	0.000
rs17609368 lBF = `6.30427` Chr`14` : `83,082,550`	0.609	0.391	0.000
rs35724370 lBF = `16.3571` Chr`21` : `29,751,778`	0.608	0.391	0.000
rs1265161 lBF = `16.8347` Chr`6` : `31,137,660`	0.608	0.392	0.000
rs116660079 lBF = `13.824` Chr`4` : `110,756,842`	0.608	0.392	0.000
rs17592741 lBF = `11.219` Chr`5` : `153,000,842`	0.608	0.392	0.000
rs116929209 lBF = `23.964` Chr`9` : `13,692,166`	0.607	0.393	0.000
rs36221133 lBF = `14.4427` Chr`6` : `31,912,523`	0.607	0.393	0.000
rs116243243 lBF = `8.44204` Chr`3` : `153,086,913`	0.607	0.393	0.000
rs114277376 lBF = `11.6233` Chr`4` : `172,906,241`	0.607	0.393	0.000
rs72712141 lBF = `11.7701` Chr`1` : `156,706,914`	0.607	0.393	0.000
rs76630343 lBF = `11.3462` Chr`4` : `114,513,009`	0.607	0.393	0.000
rs72788536 lBF = `19.7511` Chr`2` : `21,134,209`	0.606	0.393	0.000
rs114188741 lBF = `17.6434` Chr`4` : `136,403,342`	0.606	0.393	0.000
rs74664320 lBF = `6.47555` Chr`6` : `54,203,938`	0.606	0.394	0.000
rs78424619 lBF = `12.1013` Chr`4` : `128,704,037`	0.606	0.394	0.000
rs75293791 lBF = `24.7863` Chr`2` : `102,767,023`	0.606	0.394	0.000
rs79156452 lBF = `15.6605` Chr`3` : `188,651,313`	0.606	0.394	0.000
rs17806562 lBF = `12.277` Chr`22` : `17,450,247`	0.606	0.394	0.000
rs4669297 lBF = `6.88015` Chr`2` : `8,738,903`	0.606	0.394	0.000
rs12213810 lBF = `14.2401` Chr`6` : `89,307,322`	0.605	0.395	0.000
rs17561091 lBF = `19.659` Chr`18` : `33,053,097`	0.605	0.395	0.000
rs17819946 lBF = `15.2912` Chr`15` : `57,428,671`	0.605	0.395	0.000
rs116369954 lBF = `16.6039` Chr`10` : `114,793,572`	0.605	0.395	0.000
rs150844304 lBF = `10.501` Chr`15` : `43,726,625`	0.605	0.395	0.000
rs11051689 lBF = `13.3747` Chr`12` : `32,084,827`	0.604	0.396	0.000
rs34075261 lBF = `7.07826` Chr`1` : `112,233,741`	0.604	0.396	0.000
rs78811453 lBF = `17.7026` Chr`5` : `68,822,698`	0.604	0.396	0.000
rs73155884 lBF = `15.0763` Chr`3` : `162,109,264`	0.604	0.396	0.000
rs73020465 lBF = `10.5688` Chr`3` : `3,967,749`	0.604	0.396	0.000
rs72718577 lBF = `10.2191` Chr`14` : `62,522,221`	0.604	0.396	0.000
rs13212534 lBF = `117.616` Chr`6` : `25,983,010`	0.603	0.397	0.000
rs2856656 lBF = `26.2331` Chr`11` : `47,373,425`	0.603	0.397	0.000
rs113308315 lBF = `24.4022` Chr`7` : `49,916,006`	0.602	0.398	0.000
rs13152134 lBF = `12.3669` Chr`4` : `156,465,403`	0.602	0.398	0.000
rs72662245 lBF = `8.76887` Chr`14` : `30,575,835`	0.602	0.398	0.000
rs55736564 lBF = `12.1044` Chr`19` : `55,180,067`	0.602	0.398	0.000
rs117822702 lBF = `13.8577` Chr`14` : `60,403,097`	0.602	0.398	0.000
rs6858723 lBF = `7.25032` Chr`4` : `17,102,166`	0.601	0.399	0.000
rs74691586 lBF = `9.21408` Chr`1` : `161,245,487`	0.601	0.399	0.000
rs75222977 lBF = `16.5267` Chr`1` : `172,235,394`	0.601	0.399	0.000
rs12291668 lBF = `26.6909` Chr`11` : `4,171,345`	0.601	0.399	0.000
rs16988500 lBF = `15.6075` Chr`4` : `33,000,750`	0.601	0.399	0.000
rs17176768 lBF = `11.8039` Chr`14` : `37,151,905`	0.601	0.399	0.000
rs9451906 lBF = `28.3252` Chr`6` : `65,240,905`	0.600	0.399	0.000
rs12980573 lBF = `15.9303` Chr`19` : `11,434,585`	0.600	0.400	0.000
rs1303874 lBF = `20.4674` Chr`16` : `76,434,865`	0.600	0.400	0.000
rs7772131 lBF = `23.7516` Chr`6` : `30,795,171`	0.600	0.400	0.000
rs16891334 lBF = `95.5097` Chr`6` : `26,124,303`	0.600	0.400	0.000
rs115049412 lBF = `15.9663` Chr`2` : `200,960,006`	0.599	0.401	0.000
rs72745400 lBF = `16.2767` Chr`1` : `217,672,512`	0.599	0.401	0.000
rs116465999 lBF = `13.7306` Chr`2` : `167,730,727`	0.599	0.401	0.000
rs8088922 lBF = `14.0675` Chr`18` : `6,976,513`	0.599	0.401	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

0.4966

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.2356

Cluster X0260

log Bayes Factor = 16.5601

contains 2 variants

0.2053

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.9993

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.9928

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9911

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.9893

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.9882

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9863

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9853

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9838

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9830

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.9811

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.9808

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.9701

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.9658

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.9644

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9619

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9473

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.9434

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.9419

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.9338

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.9248

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.9240

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9187

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.9113

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.9070

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9049

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.9036

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.8990

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.8967

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.8899

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.8841

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.8810

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.8768

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.8708

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.8638

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.8580

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.8526

Cluster X0217

log Bayes Factor = 26.9761

contains 3 variants

0.8496

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.8490

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.8468

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.8394

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.8376

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.8369

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.8362

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.8303

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.8266

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.8185

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.8181

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.8165

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.8134

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.8033

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.8016

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.8008

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.7941

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7926

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.7905

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.7869

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.7734

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.7707

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.7620

Cluster X0250

log Bayes Factor = 43.399

contains 4 variants

0.7602

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.7466

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.7463

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.7443

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.7427

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.7407

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.7364

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.7321

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.7312

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.7288

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.7257

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.7249

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.7159

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7133

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7066

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.7060

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.7052

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.7016

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.7011

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.6970

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.6937

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.6916

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.6893

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.6827

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.6825

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.6746

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.6732

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.6707

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.6702

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.6695

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.6660

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.6591

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.6581

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.6526

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.6476

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.6425

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.6394

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.6373

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.6352

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.6315

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.6300

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.6242

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.6107

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.6071

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.5960

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.5956

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.5844

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.5796

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.5761

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.5733

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.5692

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.5681

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.5561

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.5523

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.5449

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.5445

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.5439

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.5430

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.5427

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.5263

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.5249

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.5181

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.5009

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.4926

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.4850

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.4850

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.4847

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.4804

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.4783

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.4757

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.4709

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.4702

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.4626

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.4551

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.4551

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.4507

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.4470

Cluster X0337

log Bayes Factor = 84.9395

contains 2 variants

0.4456

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.4359

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.4340

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.4339

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.4338

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.4257

Cluster X0270

log Bayes Factor = 41.2082

contains 4 variants

0.4147

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.4125

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.4022

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.3886

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.3749

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.3507

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.3489

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.3398

Cluster X0287

log Bayes Factor = 33.3095

contains 4 variants

0.3390

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.3187

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.3167

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.3156

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.3154

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.3133

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.3121

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.3108

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.3096

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.3082

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.3053

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.3045

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.3032

Cluster X0322

log Bayes Factor = 70.0115

contains 3 variants

0.3029

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.2965

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.2816

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.2755

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.2746

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.2723

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.2721

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.2720

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.2600

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.2413

Cluster X0035

log Bayes Factor = 620.567

contains 37 variants

0.2408

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.2345

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.2276

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.2190

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.2076

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.2042

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.2034

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.1890

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.1838

Cluster X0060

log Bayes Factor = 242.413

contains 5 variants

0.1814

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.1745

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.1742

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.1679

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.1593

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.1558

Cluster X0334

log Bayes Factor = 15.5721

contains 2 variants

0.1543

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.1439

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.1418

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.1390

Cluster X0330

log Bayes Factor = 183.455

contains 2 variants

0.1249

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.1191

Cluster X0173

log Bayes Factor = 654.164

contains 9 variants

0.1187

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.1164

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.1042

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.1019

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.0996

Cluster X0339

log Bayes Factor = 56.078

contains 2 variants

0.0855

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.0816

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.0751

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.0745

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.0623

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.0603

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.0582

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.0570

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.0526

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.0515

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.0506

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`)