TreeWAS – [I36.1] Nonrheumatic tricuspid (valve) insufficiency

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
rs77168252 lBF = `9.86373` Chr`11` : `128,734,360`	0.824	0.176	0.000
rs6900627 lBF = `6.58124` Chr`6` : `22,570,245`	0.795	0.205	0.000
rs7907629 lBF = `11.4244` Chr`10` : `105,549,440`	0.788	0.212	0.000
rs76595471 lBF = `13.0273` Chr`12` : `80,228,443`	0.784	0.216	0.000
rs17630235 lBF = `80.0182` Chr`12` : `112,591,686`	0.777	0.223	0.000
rs76054655 lBF = `10.3188` Chr`2` : `50,744,940`	0.774	0.226	0.000
rs2238151 lBF = `27.2496` Chr`12` : `112,211,833`	0.000	0.236	0.764
rs28502093 lBF = `12.5607` Chr`15` : `78,024,644`	0.762	0.238	0.000
rs2234962 lBF = `5.7409` Chr`10` : `121,429,633`	0.000	0.240	0.760
rs2286251 lBF = `14.6643` Chr`7` : `107,702,877`	0.759	0.241	0.000
rs62477606 lBF = `17.4246` Chr`7` : `75,352,205`	0.756	0.244	0.000
rs34308307 lBF = `7.33618` Chr`21` : `46,620,730`	0.745	0.255	0.000
rs10490871 lBF = `6.36422` Chr`3` : `35,667,761`	0.742	0.258	0.000
rs77955651 lBF = `12.6473` Chr`7` : `48,056,220`	0.740	0.260	0.000
rs1364063 lBF = `14.9508` Chr`16` : `69,588,572`	0.000	0.271	0.729
rs34650841 lBF = `5.27324` Chr`13` : `31,526,785`	0.726	0.274	0.000
rs80201289 lBF = `8.47932` Chr`7` : `150,957,474`	0.723	0.277	0.000
rs11969073 lBF = `8.27145` Chr`6` : `85,127,098`	0.722	0.278	0.000
rs116962450 lBF = `7.81708` Chr`12` : `90,500,741`	0.722	0.278	0.000
rs76129882 lBF = `8.85261` Chr`11` : `59,406,860`	0.715	0.285	0.000
rs79401038 lBF = `12.941` Chr`4` : `96,338,891`	0.713	0.286	0.000
rs10999556 lBF = `11.1577` Chr`10` : `72,571,360`	0.713	0.287	0.000
rs7219021 lBF = `3.96297` Chr`17` : `46,840,541`	0.000	0.288	0.712
rs113203074 lBF = `13.6298` Chr`6` : `31,387,875`	0.708	0.292	0.000
rs17232120 lBF = `9.61677` Chr`16` : `89,880,844`	0.707	0.292	0.000
rs62424573 lBF = `10.2915` Chr`6` : `62,235,412`	0.706	0.294	0.000
rs76769018 lBF = `23.0474` Chr`3` : `101,601,059`	0.705	0.295	0.000
rs17439722 lBF = `11.9801` Chr`7` : `116,780,178`	0.703	0.297	0.000
rs13061465 lBF = `14.9946` Chr`3` : `72,568,369`	0.702	0.298	0.000
rs1528287 lBF = `13.6349` Chr`12` : `80,985,872`	0.701	0.299	0.000
rs114333031 lBF = `14.2987` Chr`4` : `54,774,510`	0.698	0.302	0.000
rs17880984 lBF = `14.3287` Chr`3` : `3,127,122`	0.698	0.302	0.000
rs117362775 lBF = `13.8721` Chr`9` : `112,587,101`	0.697	0.303	0.000
rs115135582 lBF = `12.4642` Chr`5` : `119,918,822`	0.697	0.303	0.000
rs10744777 lBF = `24.8672` Chr`12` : `112,233,018`	0.000	0.303	0.697
rs11964561 lBF = `3.6893` Chr`6` : `8,169,800`	0.695	0.305	0.000
rs117471497 lBF = `18.6452` Chr`20` : `851,571`	0.695	0.305	0.000
rs117582629 lBF = `8.51744` Chr`16` : `12,456,402`	0.694	0.306	0.000
rs7170930 lBF = `4.48048` Chr`15` : `66,580,853`	0.694	0.306	0.000
rs73178603 lBF = `12.117` Chr`7` : `155,065,202`	0.693	0.307	0.000
rs1071265 lBF = `7.85233` Chr`9` : `33,736,196`	0.692	0.308	0.000
rs78815966 lBF = `8.22947` Chr`4` : `86,755,698`	0.688	0.312	0.000
rs79565709 lBF = `12.3505` Chr`19` : `40,832,132`	0.688	0.312	0.000
rs71638410 lBF = `25.1393` Chr`1` : `232,107,430`	0.687	0.313	0.000
rs75340811 lBF = `6.54541` Chr`11` : `59,257,210`	0.686	0.314	0.000
rs117304354 lBF = `24.3339` Chr`20` : `51,221,332`	0.681	0.319	0.000
rs12495399 lBF = `15.7876` Chr`3` : `50,776,882`	0.680	0.320	0.000
rs72937299 lBF = `16.2552` Chr`3` : `50,993,009`	0.678	0.322	0.000
rs34803930 lBF = `21.1404` Chr`14` : `62,581,386`	0.678	0.322	0.000
rs112971323 lBF = `15.7014` Chr`11` : `111,697,513`	0.677	0.322	0.000
rs78811453 lBF = `17.7026` Chr`5` : `68,822,698`	0.677	0.323	0.000
rs34641959 lBF = `19.1716` Chr`16` : `85,568,804`	0.676	0.324	0.000
rs114198037 lBF = `25.2397` Chr`2` : `76,924,347`	0.674	0.326	0.000
rs116578934 lBF = `13.215` Chr`1` : `85,581,898`	0.674	0.326	0.000
rs59251082 lBF = `16.0591` Chr`11` : `132,584,575`	0.673	0.327	0.000
rs259464 lBF = `12.2399` Chr`1` : `218,749,231`	0.673	0.327	0.000
rs74112468 lBF = `12.4362` Chr`13` : `90,520,396`	0.671	0.329	0.000
rs117662109 lBF = `19.3722` Chr`14` : `47,236,919`	0.670	0.330	0.000
rs259479 lBF = `12.9589` Chr`1` : `218,746,640`	0.669	0.330	0.000
rs80237806 lBF = `12.8825` Chr`5` : `176,728,878`	0.669	0.331	0.000
rs75207346 lBF = `11.4709` Chr`13` : `39,925,227`	0.669	0.331	0.000
rs17024393 lBF = `12.9062` Chr`1` : `110,154,688`	0.665	0.334	0.000
rs17024258 lBF = `12.5991` Chr`1` : `110,147,321`	0.665	0.335	0.000
rs7550711 lBF = `14.669` Chr`1` : `110,082,886`	0.665	0.335	0.000
rs78156933 lBF = `6.63681` Chr`4` : `27,656,295`	0.664	0.336	0.000
rs55783015 lBF = `20.745` Chr`10` : `127,276,562`	0.663	0.337	0.000
rs7558007 lBF = `7.10506` Chr`2` : `58,350,504`	0.662	0.338	0.000
rs17372597 lBF = `15.796` Chr`8` : `125,595,153`	0.660	0.340	0.000
rs61756485 lBF = `16.787` Chr`12` : `99,020,125`	0.659	0.341	0.000
rs72746681 lBF = `16.7306` Chr`9` : `88,643,632`	0.659	0.341	0.000
rs72759465 lBF = `7.31467` Chr`1` : `244,867,747`	0.658	0.341	0.000
rs11575837 lBF = `15.2034` Chr`6` : `31,560,670`	0.657	0.343	0.000
rs116996941 lBF = `29.402` Chr`20` : `51,117,437`	0.657	0.343	0.000
rs3798220 lBF = `217.284` Chr`6` : `160,961,137`	0.656	0.344	0.000
rs117733303 lBF = `216.685` Chr`6` : `160,922,870`	0.655	0.344	0.000
rs9457925 lBF = `223.212` Chr`6` : `160,848,743`	0.655	0.345	0.000
rs12209307 lBF = `5.28684` Chr`6` : `95,418,039`	0.655	0.345	0.000
rs56279505 lBF = `20.7752` Chr`4` : `100,295,240`	0.653	0.346	0.000
rs75440732 lBF = `14.7759` Chr`5` : `170,932,931`	0.652	0.348	0.000
rs1623026 lBF = `23.4509` Chr`6` : `31,188,312`	0.652	0.348	0.000
rs2215614 lBF = `7.56312` Chr`7` : `35,277,093`	0.000	0.349	0.651
rs10484621 lBF = `16.1593` Chr`6` : `62,686,818`	0.650	0.349	0.000
rs1345274 lBF = `23.6419` Chr`6` : `31,190,627`	0.650	0.350	0.000
rs12070935 lBF = `15.5963` Chr`1` : `5,091,631`	0.650	0.350	0.000
rs79343817 lBF = `15.2744` Chr`10` : `71,822,901`	0.650	0.350	0.000
rs140959648 lBF = `22.6332` Chr`18` : `59,005,176`	0.650	0.350	0.000
rs114820425 lBF = `14.0648` Chr`6` : `31,524,511`	0.649	0.351	0.000
rs72630661 lBF = `19.6221` Chr`8` : `38,329,982`	0.649	0.351	0.000
rs78745584 lBF = `13.2553` Chr`11` : `97,029,941`	0.648	0.352	0.000
rs77308085 lBF = `20.0947` Chr`7` : `116,216,661`	0.648	0.352	0.000
rs72732571 lBF = `15.1337` Chr`15` : `78,424,369`	0.648	0.352	0.000
rs115011993 lBF = `12.156` Chr`1` : `22,940,109`	0.647	0.353	0.000
rs74859699 lBF = `18.3331` Chr`1` : `154,739,875`	0.647	0.353	0.000
rs72877264 lBF = `29.5182` Chr`6` : `57,886,642`	0.647	0.353	0.000
rs885701 lBF = `24.8951` Chr`6` : `31,143,900`	0.647	0.353	0.000
rs999091 lBF = `22.6696` Chr`2` : `66,603,934`	0.646	0.354	0.000
rs1265083 lBF = `24.1513` Chr`6` : `31,111,347`	0.646	0.354	0.000
rs150369892 lBF = `14.2967` Chr`1` : `158,517,471`	0.646	0.354	0.000
rs483465 lBF = `19.2338` Chr`3` : `136,047,977`	0.646	0.354	0.000
rs58950125 lBF = `19.7195` Chr`9` : `10,382,986`	0.645	0.355	0.000
rs62373905 lBF = `23.1507` Chr`5` : `116,522,803`	0.644	0.356	0.000
rs260262 lBF = `17.6741` Chr`6` : `42,428,634`	0.644	0.356	0.000
rs72874188 lBF = `30.4877` Chr`6` : `62,016,012`	0.644	0.356	0.000
rs77837545 lBF = `13.4569` Chr`5` : `35,622,892`	0.643	0.356	0.000
rs10080815 lBF = `180.562` Chr`6` : `160,687,412`	0.643	0.357	0.000
rs74625856 lBF = `95.8612` Chr`6` : `161,313,619`	0.643	0.357	0.000
rs12192967 lBF = `12.3006` Chr`6` : `62,885,492`	0.643	0.357	0.000
rs9262176 lBF = `13.9578` Chr`6` : `30,731,330`	0.643	0.357	0.000
rs138570705 lBF = `3.70168` Chr`15` : `44,266,730`	0.642	0.357	0.000
rs364786 lBF = `23.3372` Chr`6` : `31,144,291`	0.642	0.358	0.000
rs72652478 lBF = `14.3802` Chr`9` : `22,102,043`	0.642	0.358	0.000
rs75444639 lBF = `32.0405` Chr`1` : `232,117,041`	0.641	0.359	0.000
rs78140085 lBF = `11.5454` Chr`1` : `5,887,118`	0.641	0.359	0.000
rs117233030 lBF = `16.6065` Chr`9` : `14,348,774`	0.641	0.359	0.000
rs76861960 lBF = `13.3651` Chr`16` : `77,599,439`	0.641	0.359	0.000
rs74591415 lBF = `13.4181` Chr`2` : `64,864,450`	0.641	0.359	0.000
rs17650376 lBF = `5.4549` Chr`18` : `3,864,912`	0.000	0.359	0.641
rs17522649 lBF = `26.3622` Chr`15` : `93,084,746`	0.640	0.360	0.000
rs117930276 lBF = `8.79467` Chr`14` : `68,864,686`	0.639	0.361	0.000
rs117903119 lBF = `9.06456` Chr`21` : `46,716,223`	0.639	0.361	0.000
rs35512961 lBF = `13.4677` Chr`1` : `65,151,699`	0.639	0.361	0.000
rs1639114 lBF = `20.5335` Chr`6` : `31,219,224`	0.639	0.361	0.000
rs76959518 lBF = `25.0916` Chr`1` : `159,853,160`	0.638	0.361	0.000
rs79215950 lBF = `8.20907` Chr`7` : `35,277,067`	0.000	0.362	0.638
rs148691683 lBF = `20.3785` Chr`3` : `81,821,483`	0.638	0.362	0.000
rs79969149 lBF = `11.2075` Chr`17` : `26,270,925`	0.638	0.362	0.000
rs78957773 lBF = `12.8264` Chr`6` : `31,496,949`	0.638	0.362	0.000
rs73404209 lBF = `16.4855` Chr`6` : `31,405,671`	0.637	0.363	0.000
rs79490353 lBF = `11.9496` Chr`13` : `28,623,048`	0.637	0.363	0.000
rs9309513 lBF = `13.6223` Chr`2` : `77,555,231`	0.637	0.363	0.000
rs113901367 lBF = `17.9835` Chr`6` : `31,382,015`	0.636	0.364	0.000
rs116226697 lBF = `14.4064` Chr`6` : `31,470,455`	0.636	0.364	0.000
rs869708 lBF = `14.092` Chr`21` : `46,434,954`	0.636	0.364	0.000
rs2517509 lBF = `22.4792` Chr`6` : `31,030,224`	0.635	0.365	0.000
rs111242499 lBF = `16.3667` Chr`6` : `31,409,313`	0.634	0.365	0.000
rs41560824 lBF = `17.2292` Chr`6` : `31,379,043`	0.634	0.366	0.000
rs73402213 lBF = `16.1094` Chr`6` : `31,387,288`	0.634	0.366	0.000
rs114059502 lBF = `12.4556` Chr`6` : `30,837,290`	0.634	0.366	0.000
rs113310853 lBF = `16.828` Chr`6` : `31,405,598`	0.634	0.366	0.000
rs117704155 lBF = `14.0485` Chr`14` : `37,850,007`	0.634	0.366	0.000
rs10491777 lBF = `15.847` Chr`9` : `14,352,001`	0.634	0.366	0.000
rs76761043 lBF = `33.5262` Chr`13` : `40,263,143`	0.633	0.367	0.000
rs60543763 lBF = `16.492` Chr`6` : `31,387,515`	0.633	0.367	0.000
rs41545213 lBF = `16.9258` Chr`6` : `31,382,910`	0.633	0.367	0.000
rs112729487 lBF = `16.3862` Chr`6` : `31,390,610`	0.632	0.368	0.000
rs117636037 lBF = `18.8537` Chr`12` : `38,519,375`	0.632	0.368	0.000
rs61079385 lBF = `15.2512` Chr`6` : `31,384,551`	0.631	0.369	0.000
rs111797345 lBF = `22.7323` Chr`3` : `69,168,628`	0.631	0.369	0.000
rs1793899 lBF = `16.1977` Chr`6` : `31,170,131`	0.631	0.369	0.000
rs116211639 lBF = `16.8079` Chr`1` : `33,400,355`	0.631	0.369	0.000
rs113424809 lBF = `14.5422` Chr`6` : `31,391,262`	0.630	0.370	0.000
rs112111750 lBF = `17.006` Chr`6` : `31,389,968`	0.630	0.370	0.000
rs78560828 lBF = `16.2878` Chr`11` : `59,544,305`	0.629	0.370	0.000
rs76150464 lBF = `15.157` Chr`11` : `59,509,165`	0.629	0.371	0.000
rs73628692 lBF = `4.97563` Chr`9` : `132,349,597`	0.629	0.371	0.000
rs117531052 lBF = `28.3704` Chr`14` : `46,783,950`	0.629	0.371	0.000
rs41545814 lBF = `16.656` Chr`6` : `31,382,893`	0.628	0.372	0.000
rs73099187 lBF = `9.66779` Chr`7` : `35,291,491`	0.000	0.372	0.628
rs1291621 lBF = `15.6995` Chr`12` : `46,340,821`	0.627	0.373	0.000
rs28459952 lBF = `1.20674` Chr`7` : `24,514,101`	0.627	0.373	0.000
rs1265161 lBF = `16.8347` Chr`6` : `31,137,660`	0.626	0.374	0.000
rs79983462 lBF = `10.1466` Chr`7` : `123,102,893`	0.626	0.374	0.000
rs117593677 lBF = `14.7112` Chr`9` : `21,318,205`	0.625	0.375	0.000
rs4374681 lBF = `5.49218` Chr`4` : `1,566,164`	0.625	0.375	0.000
rs2535316 lBF = `22.2659` Chr`6` : `31,051,941`	0.625	0.375	0.000
rs2523839 lBF = `21.8924` Chr`6` : `31,031,834`	0.625	0.375	0.000
rs72799290 lBF = `21.6918` Chr`16` : `84,121,289`	0.624	0.376	0.000
rs188448092 lBF = `23.8385` Chr`13` : `24,544,751`	0.623	0.377	0.000
rs4953030 lBF = `13.2993` Chr`2` : `44,112,075`	0.000	0.377	0.623
rs9262182 lBF = `12.7755` Chr`6` : `30,738,042`	0.623	0.377	0.000
rs78536404 lBF = `15.3069` Chr`3` : `29,168,440`	0.622	0.377	0.000
rs17461766 lBF = `19.7173` Chr`20` : `54,975,770`	0.622	0.378	0.000
rs114848727 lBF = `32.9543` Chr`6` : `58,744,020`	0.621	0.379	0.000
rs73402206 lBF = `11.5791` Chr`6` : `31,383,960`	0.621	0.379	0.000
rs62235665 lBF = `13.4781` Chr`21` : `41,534,335`	0.620	0.379	0.000
rs41279092 lBF = `7.635` Chr`12` : `112,924,706`	0.000	0.380	0.620
rs76822006 lBF = `39.2942` Chr`13` : `50,922,728`	0.620	0.380	0.000
rs116990435 lBF = `16.0291` Chr`21` : `42,048,274`	0.620	0.380	0.000
rs117167710 lBF = `18.286` Chr`19` : `49,602,287`	0.619	0.381	0.000
rs9617470 lBF = `17.1626` Chr`22` : `49,210,125`	0.619	0.381	0.000
rs79598313 lBF = `23.343` Chr`1` : `27,284,913`	0.618	0.382	0.000
rs2517491 lBF = `18.798` Chr`6` : `31,038,338`	0.617	0.383	0.000
rs2854047 lBF = `77.4353` Chr`6` : `32,179,432`	0.617	0.383	0.000
rs76954458 lBF = `13.8611` Chr`15` : `35,189,409`	0.616	0.383	0.000
rs79851078 lBF = `5.58339` Chr`17` : `30,005,058`	0.616	0.384	0.000
rs116448368 lBF = `23.9738` Chr`15` : `52,600,590`	0.616	0.384	0.000
rs77453333 lBF = `13.3291` Chr`8` : `8,514,483`	0.616	0.384	0.000
rs17008850 lBF = `5.44557` Chr`4` : `85,328,625`	0.615	0.385	0.000
rs186696265 lBF = `205.379` Chr`6` : `161,111,700`	0.614	0.385	0.000
rs17513625 lBF = `13.3739` Chr`4` : `111,848,270`	0.613	0.387	0.000
rs6420398 lBF = `18.8598` Chr`16` : `76,991,593`	0.612	0.388	0.000
rs117824799 lBF = `22.345` Chr`11` : `43,752,296`	0.612	0.388	0.000
rs79986080 lBF = `12.1183` Chr`5` : `17,091,822`	0.612	0.388	0.000
rs62180472 lBF = `11.2108` Chr`2` : `222,690,063`	0.611	0.388	0.000
rs116464382 lBF = `20.4852` Chr`6` : `31,382,406`	0.611	0.388	0.000
rs117883435 lBF = `14.5495` Chr`21` : `27,788,794`	0.611	0.389	0.000
rs76287751 lBF = `15.4167` Chr`21` : `22,696,657`	0.611	0.389	0.000
rs78690056 lBF = `12.2007` Chr`4` : `126,086,818`	0.610	0.390	0.000
rs12779371 lBF = `7.9231` Chr`10` : `76,256,536`	0.610	0.390	0.000
rs75018213 lBF = `22.9297` Chr`6` : `146,052,178`	0.609	0.391	0.000
rs2039631 lBF = `5.35076` Chr`1` : `9,068,020`	0.609	0.391	0.000
rs73250776 lBF = `15.8949` Chr`4` : `23,408,210`	0.609	0.391	0.000
rs74754122 lBF = `23.2295` Chr`6` : `145,961,790`	0.609	0.391	0.000
rs79563551 lBF = `13.3455` Chr`4` : `122,395,365`	0.609	0.391	0.000
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rs117487501 lBF = `16.2076` Chr`14` : `26,589,434`	0.540	0.460	0.000
rs79785533 lBF = `23.1214` Chr`4` : `108,611,504`	0.539	0.461	0.000
rs17735173 lBF = `12.1822` Chr`10` : `111,439,737`	0.539	0.461	0.000
rs116561927 lBF = `21.8507` Chr`2` : `221,679,348`	0.539	0.461	0.000
rs116633440 lBF = `15.5432` Chr`6` : `30,994,470`	0.537	0.462	0.000
rs72691846 lBF = `47.833` Chr`1` : `114,466,659`	0.537	0.463	0.000
rs117131051 lBF = `12.836` Chr`18` : `25,336,648`	0.537	0.463	0.000
rs1641895 lBF = `14.1003` Chr`16` : `12,641,115`	0.537	0.463	0.000
rs80029792 lBF = `24.0731` Chr`8` : `134,781,276`	0.537	0.463	0.000
rs74376624 lBF = `20.3893` Chr`5` : `154,855,619`	0.537	0.463	0.000
rs77943567 lBF = `12.8021` Chr`4` : `802,144`	0.537	0.463	0.000
rs72668436 lBF = `5.13152` Chr`8` : `99,917,181`	0.536	0.463	0.000
rs9488238 lBF = `2.8638` Chr`6` : `114,017,133`	0.535	0.464	0.000
rs72798157 lBF = `13.8829` Chr`5` : `107,430,034`	0.535	0.464	0.000
rs17333649 lBF = `6.63712` Chr`2` : `5,379,187`	0.535	0.465	0.000
rs35221806 lBF = `7.30552` Chr`7` : `7,350,418`	0.535	0.465	0.000
rs6757751 lBF = `15.3429` Chr`2` : `228,925,597`	0.535	0.465	0.000
rs2780226 lBF = `5.10037` Chr`6` : `34,199,092`	0.534	0.466	0.000
rs115511239 lBF = `13.3518` Chr`2` : `220,981,981`	0.534	0.466	0.000
rs76566749 lBF = `12.0109` Chr`6` : `145,423,991`	0.534	0.466	0.000
rs9493873 lBF = `5.52086` Chr`6` : `134,576,511`	0.533	0.466	0.000
rs368735 lBF = `6.01789` Chr`6` : `18,293,832`	0.533	0.467	0.000
rs75803315 lBF = `6.95989` Chr`6` : `54,030,352`	0.533	0.467	0.000
rs77311400 lBF = `9.0751` Chr`6` : `166,916,112`	0.532	0.468	0.000
rs76739100 lBF = `17.757` Chr`6` : `32,171,538`	0.532	0.468	0.000
rs2351326 lBF = `12.3551` Chr`8` : `111,847,246`	0.529	0.470	0.000
rs6934690 lBF = `14.5953` Chr`6` : `54,054,686`	0.528	0.471	0.000
rs374186 lBF = `10.5687` Chr`4` : `108,213,692`	0.528	0.472	0.000
rs817362 lBF = `8.10658` Chr`20` : `62,559,964`	0.000	0.472	0.528
rs12986171 lBF = `19.4786` Chr`19` : `10,773,564`	0.528	0.472	0.000
rs75672964 lBF = `11.0036` Chr`7` : `131,321,010`	0.528	0.472	0.000
rs17829719 lBF = `15.2172` Chr`8` : `1,824,454`	0.528	0.472	0.000
rs12433287 lBF = `12.511` Chr`14` : `75,697,380`	0.528	0.472	0.000
rs118081660 lBF = `13.4828` Chr`10` : `22,403,894`	0.527	0.473	0.000
rs116152102 lBF = `12.5496` Chr`1` : `72,896,151`	0.527	0.473	0.000
rs28392903 lBF = `14.0654` Chr`15` : `26,106,644`	0.526	0.474	0.000
rs12589674 lBF = `5.86884` Chr`14` : `54,246,353`	0.526	0.474	0.000
rs78714084 lBF = `18.8347` Chr`8` : `89,031,066`	0.525	0.475	0.000
rs629001 lBF = `14.3666` Chr`1` : `109,838,918`	0.000	0.476	0.524
rs56269309 lBF = `12.8645` Chr`12` : `127,453,025`	0.524	0.476	0.000
rs2071285 lBF = `78.0918` Chr`6` : `32,180,431`	0.524	0.476	0.000
rs114165957 lBF = `23.5276` Chr`5` : `115,495,327`	0.523	0.477	0.000
rs79215307 lBF = `13.0123` Chr`10` : `130,302,069`	0.523	0.477	0.000
rs73366442 lBF = `12.0256` Chr`7` : `73,989,491`	0.523	0.477	0.000
rs80167425 lBF = `13.1983` Chr`16` : `55,715,542`	0.523	0.477	0.000
rs12903285 lBF = `23.1095` Chr`15` : `78,778,953`	0.522	0.478	0.000
rs115566179 lBF = `17.7927` Chr`6` : `34,787,537`	0.522	0.478	0.000
rs77224425 lBF = `14.1778` Chr`7` : `36,087,216`	0.522	0.478	0.000
rs3750718 lBF = `10.9739` Chr`10` : `101,835,508`	0.522	0.478	0.000
rs138450362 lBF = `1.99354` Chr`16` : `22,950,613`	0.521	0.479	0.000
rs12616962 lBF = `15.3337` Chr`2` : `155,628,974`	0.521	0.479	0.000
rs76638161 lBF = `13.1468` Chr`11` : `109,094,318`	0.521	0.479	0.000
rs78172408 lBF = `11.9224` Chr`7` : `47,619,869`	0.520	0.480	0.000
rs118052578 lBF = `12.7181` Chr`11` : `42,467,826`	0.519	0.480	0.000
rs10494973 lBF = `7.9198` Chr`1` : `214,132,143`	0.519	0.481	0.000
rs56005336 lBF = `20.0755` Chr`6` : `34,144,189`	0.519	0.481	0.000
rs12077060 lBF = `11.4093` Chr`1` : `97,453,507`	0.518	0.481	0.000
rs17599856 lBF = `19.5866` Chr`5` : `136,371,769`	0.518	0.482	0.000
rs75781704 lBF = `13.7978` Chr`6` : `47,909,123`	0.518	0.482	0.000
rs1265065 lBF = `18.5675` Chr`6` : `31,077,724`	0.518	0.482	0.000
rs10983554 lBF = `8.75815` Chr`9` : `119,918,601`	0.517	0.483	0.000
rs34601711 lBF = `5.44565` Chr`7` : `33,959,704`	0.517	0.483	0.000
rs112817022 lBF = `21.0666` Chr`16` : `22,274,136`	0.517	0.483	0.000
rs116450392 lBF = `12.7108` Chr`4` : `1,782,281`	0.517	0.483	0.000
rs56696153 lBF = `12.2898` Chr`10` : `114,987,119`	0.516	0.483	0.000
rs118148296 lBF = `8.65957` Chr`18` : `33,640,579`	0.516	0.484	0.000
rs112312290 lBF = `16.2925` Chr`3` : `52,094,201`	0.515	0.485	0.000
rs12127701 lBF = `14.0237` Chr`1` : `109,838,264`	0.000	0.485	0.515
rs73542936 lBF = `11.6477` Chr`8` : `1,839,557`	0.514	0.486	0.000
rs16891156 lBF = `160.905` Chr`6` : `160,608,804`	0.514	0.486	0.000
rs76276670 lBF = `38.5052` Chr`21` : `30,505,980`	0.514	0.486	0.000
rs117479459 lBF = `33.389` Chr`7` : `3,459,194`	0.514	0.486	0.000
rs117466338 lBF = `32.7518` Chr`20` : `56,233,845`	0.514	0.486	0.000
rs116299775 lBF = `29.8285` Chr`15` : `91,445,276`	0.514	0.486	0.000
rs116018140 lBF = `24.9673` Chr`2` : `106,054,384`	0.514	0.486	0.000
rs17819756 lBF = `24.075` Chr`10` : `62,370,465`	0.514	0.486	0.000
rs80334718 lBF = `23.0437` Chr`14` : `33,998,519`	0.514	0.486	0.000
rs72733621 lBF = `22.9939` Chr`1` : `102,582,730`	0.514	0.486	0.000
rs72657827 lBF = `22.3443` Chr`1` : `23,392,108`	0.514	0.486	0.000
rs3811319 lBF = `19.9487` Chr`14` : `22,482,497`	0.514	0.486	0.000
rs117180213 lBF = `18.1114` Chr`17` : `46,070,227`	0.514	0.486	0.000
rs76888481 lBF = `17.9427` Chr`18` : `67,521,736`	0.514	0.486	0.000
rs78517764 lBF = `17.5971` Chr`19` : `55,055,906`	0.514	0.486	0.000
rs56890907 lBF = `17.4615` Chr`3` : `196,673,831`	0.514	0.486	0.000
rs117825839 lBF = `16.5381` Chr`12` : `28,978,196`	0.514	0.486	0.000
rs113512172 lBF = `16.4938` Chr`21` : `32,718,685`	0.514	0.486	0.000
rs877767 lBF = `16.3472` Chr`10` : `74,032,366`	0.514	0.486	0.000
rs12573242 lBF = `16.2215` Chr`10` : `75,344,929`	0.514	0.486	0.000
rs114850483 lBF = `16.0626` Chr`3` : `5,754,763`	0.514	0.486	0.000
rs55968350 lBF = `15.4456` Chr`3` : `126,904,733`	0.514	0.486	0.000
rs117631583 lBF = `15.1608` Chr`7` : `78,667,335`	0.514	0.486	0.000
rs117681218 lBF = `15.1496` Chr`19` : `21,045,381`	0.514	0.486	0.000
rs28667337 lBF = `14.7115` Chr`13` : `98,218,984`	0.514	0.486	0.000
rs11150606 lBF = `14.614` Chr`16` : `31,099,011`	0.514	0.486	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 X0112

log Bayes Factor = 98.8923

contains 7 variants

0.9180

Cluster X0090

log Bayes Factor = 11.7172

contains 2 variants

0.7903

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.4254

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.2926

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.9780

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9509

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.9222

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.9163

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9118

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.9115

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.9114

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.8978

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.8962

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.8876

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.8748

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.8743

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.8729

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.8683

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.8642

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.8579

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.8547

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.8495

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.8343

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.8299

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.8096

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.8063

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.8039

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.8027

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.8024

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.7972

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.7966

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.7915

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.7841

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.7831

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.7815

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.7806

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.7755

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.7663

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.7655

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.7606

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.7504

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.7458

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.7452

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7441

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.7394

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.7370

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.7368

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.7365

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.7345

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.7330

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.7322

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.7304

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.7217

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.7208

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.7151

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7075

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7067

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.7035

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.6985

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.6984

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.6946

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.6923

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.6818

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.6788

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.6769

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.6762

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.6748

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.6712

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.6642

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.6611

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.6600

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.6533

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.6521

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.6466

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.6444

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.6372

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.6353

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.6276

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.6257

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.6246

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.6244

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.6241

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.6220

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.6199

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.6174

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.6173

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.6173

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.6156

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.6111

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.6034

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.6016

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.6014

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.5995

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.5968

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.5951

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.5915

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.5890

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.5889

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.5842

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.5770

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.5580

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.5453

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.5290

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.5140

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.5140

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.5140

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.5140

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.5140

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.5140

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.5140

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.5140

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.5140

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.5138

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.5138

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.5138

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.5133

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.5126

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.5109

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.5079

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.4989

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.4917

Cluster X0280

log Bayes Factor = 86.0876

contains 1 variants

0.4892

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.4841

Cluster X0287

log Bayes Factor = 33.3095

contains 4 variants

0.4657

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.4656

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.4653

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.4554

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.4496

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.4242

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.4240

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.4218

Cluster X0307

log Bayes Factor = 826.86

contains 2 variants

0.4054

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.3998

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.3934

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.3907

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.3837

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.3782

Cluster X0250

log Bayes Factor = 43.399

contains 4 variants

0.3776

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.3449

Cluster X0294

log Bayes Factor = 25.2869

contains 2 variants

0.3440

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.3360

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.3314

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.3238

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.3162

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.3161

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.3055

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.2664

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.2443

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.2323

Cluster X0321

log Bayes Factor = 162.562

contains 1 variants

0.2269

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.1666

Cluster X0060

log Bayes Factor = 242.413

contains 5 variants

0.1556

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.1437

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.1019

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.0906

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.0718

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`)