Inherited myeloproliferative neoplasm risk affects haematopoietic stem cells.
Inherited myeloproliferative neoplasm risk affects haematopoietic stem cells.
复制标题
DOI:
10.1038/s41586-020-2786-7
复制
发表时间:
2020-10
期刊:
影响因子:
64.8
通讯作者:
Sankaran VG
中科院分区:
文献类型:
--
作者:
Bao EL;Nandakumar SK;Liao X;Bick AG;Karjalainen J;Tabaka M;Gan OI;Havulinna AS;Kiiskinen TTJ;Lareau CA;de Lapuente Portilla AL;Li B;Emdin C;Codd V;Nelson CP;Walker CJ;Churchhouse C;de la Chapelle A;Klein DE;Nilsson B;Wilson PWF;Cho K;Pyarajan S;Gaziano JM;Samani NJ;FinnGen;23andMe Research Team;Regev A;Palotie A;Neale BM;Dick JE;Natarajan P;O'Donnell CJ;Daly MJ;Milyavsky M;Kathiresan S;Sankaran VG
Myeloproliferative neoplasms (MPNs) are blood cancers characterized by excessive production of mature myeloid cells, which result from the acquisition of somatic driver mutations in hematopoietic stem cells (HSCs). Epidemiologic studies indicate a substantial disease heritability that is among the highest known for cancers. However, only a limited set of genetic risk loci have been identified, and the underlying biological mechanisms leading to MPN acquisition remain unexplained. Here, we conducted a large-scale genome-wide association study (3,797 cases and 1,152,977 controls) to identify 17 MPN risk loci (p < 5.0 × 10−8), seven of which have not been previously reported. We find a shared genetic architecture between MPN risk and several hematopoietic traits spanning distinct lineages, an enrichment for risk variants mapping to accessible chromatin in HSCs, and associations of increased MPN risk with longer leukocyte telomere length and other clonal hematopoietic states, collectively implicating HSC function and self-renewal. Gene mapping identifies modulators of HSC biology and targeted variant-to-function assays suggest likely roles for CHEK2 and GFI1B in altering HSC function to confer disease risk. Overall, we demonstrate the power of human genetic studies to illuminate a previously unappreciated mechanism for inherited MPN risk through modulation of HSC function.
登录
查看更多内容
影响因子:
14.9
作者:
Frankish A;Diekhans M;Ferreira AM;Johnson R;Jungreis I;Loveland J;Mudge JM;Sisu C;Wright J;Armstrong J;Barnes I;Berry A;Bignell A;Carbonell Sala S;Chrast J;Cunningham F;Di Domenico T;Donaldson S;Fiddes IT;García Girón C;Gonzalez JM;Grego T;Hardy M;Hourlier T;Hunt T;Izuogu OG;Lagarde J;Martin FJ;Martínez L;Mohanan S;Muir P;Navarro FCP;Parker A;Pei B;Pozo F;Ruffier M;Schmitt BM;Stapleton E;Suner MM;Sycheva I;Uszczynska-Ratajczak B;Xu J;Yates A;Zerbino D;Zhang Y;Aken B;Choudhary JS;Gerstein M;Guigó R;Hubbard TJP;Kellis M;Paten B;Reymond A;Tress ML;Flicek P
通讯作者:
Flicek P
影响因子:
30.8
作者:
Finucane HK;Reshef YA;Anttila V;Slowikowski K;Gusev A;Byrnes A;Gazal S;Loh PR;Lareau C;Shoresh N;Genovese G;Saunders A;Macosko E;Pollack S;Brainstorm Consortium;Perry JRB;Buenrostro JD;Bernstein BE;Raychaudhuri S;McCarroll S;Neale BM;Price AL
通讯作者:
Price AL
影响因子:
30.8
作者:
Bulik-Sullivan, Brendan K.;Loh, Po-Ru;Finucane, Hilary K.;Ripke, Stephan;Yang, Jian;Patterson, Nick;Daly, Mark J.;Price, Alkes L.;Neale, Benjamin M.
通讯作者:
Neale, Benjamin M.
影响因子:
9.2
作者:
Chang CC;Chow CC;Tellier LC;Vattikuti S;Purcell SM;Lee JJ
通讯作者:
Lee JJ
影响因子:
82.9
作者:
Chen, Jiahao;Kao, Yun-Ruei;Steidl, Ulrich
通讯作者:
Steidl, Ulrich