Genome-wide identification of the genetic basis of amyotrophic lateral sclerosis.
Genome-wide identification of the genetic basis of amyotrophic lateral sclerosis.
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DOI:
10.1016/j.neuron.2021.12.019
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发表时间:
2022-03-16
期刊:
影响因子:
16.2
通讯作者:
Snyder MP
中科院分区:
文献类型:
--
作者:
Zhang S;Cooper-Knock J;Weimer AK;Shi M;Moll T;Marshall JNG;Harvey C;Nezhad HG;Franklin J;Souza CDS;Ning K;Wang C;Li J;Dilliott AA;Farhan S;Elhaik E;Pasniceanu I;Livesey MR;Eitan C;Hornstein E;Kenna KP;Project MinE ALS Sequencing Consortium;Veldink JH;Ferraiuolo L;Shaw PJ;Snyder MP
Amyotrophic lateral sclerosis (ALS) is a complex disease leading to motor neuron death. Despite heritability estimates of 52%, genome-wide association studies (GWAS) have discovered relatively few loci. We developed a machine learning approach called RefMap which integrates functional genomics with GWAS summary statistics for gene discovery. With transcriptomic and epigenetic profiling of motor neurons derived from induced pluripotent stem cells (iPSCs), RefMap identified 690 ALS-associated genes which represents a 5-fold increase in recovered heritability. Extensive conservation, transcriptome, network, and rare variant analyses demonstrated the functional significance of candidate genes in healthy and diseased motor neurons and brain tissues. Genetic convergence between common and rare variation highlighted KANK1 as a new ALS gene. Reproducing KANK1 patient mutations in human neurons led to neurotoxicity and demonstrated that TDP-43 mislocalization, a hallmark pathology of ALS, is downstream of axonal dysfunction. RefMap can be readily applied to other complex diseases. Zhang et al. develop a new machine learning method which integrates epigenetic profiling with GWAS summary statistics for gene discovery. Application to ALS identifies 690 risk genes with 5-fold increase in recovered heritability. Leading candidate KANK1 is reproduced in human neurons leading to TDP-43 mislocalization, a hallmark pathology of ALS.
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影响因子:
64.8
作者:
GTEx Consortium;Laboratory, Data Analysis &Coordinating Center (LDACC)—Analysis Working Group;Statistical Methods groups—Analysis Working Group;Enhancing GTEx (eGTEx) groups;NIH Common Fund;NIH/NCI;NIH/NHGRI;NIH/NIMH;NIH/NIDA;Biospecimen Collection Source Site—NDRI;Biospecimen Collection Source Site—RPCI;Biospecimen Core Resource—VARI;Brain Bank Repository—University of Miami Brain Endowment Bank;Leidos Biomedical—Project Management;ELSI Study;Genome Browser Data Integration &Visualization—EBI;Genome Browser Data Integration &Visualization—UCSC Genomics Institute, University of California Santa Cruz;Lead analysts:;Laboratory, Data Analysis &Coordinating Center (LDACC):;NIH program management:;Biospecimen collection:;Pathology:;eQTL manuscript working group:;Battle A;Brown CD;Engelhardt BE;Montgomery SB
通讯作者:
Montgomery SB
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.
DOI:
10.1093/brain/awu120
发表时间:
2014-07
期刊:
Brain : a journal of neurology
影响因子:
--
作者:
Cooper-Knock J;Walsh MJ;Higginbottom A;Robin Highley J;Dickman MJ;Edbauer D;Ince PG;Wharton SB;Wilson SA;Kirby J;Hautbergue GM;Shaw PJ
通讯作者:
Shaw PJ
影响因子:
12.3
作者:
Chen L;Jin P;Qin ZS
通讯作者:
Qin ZS
影响因子:
14.9
作者:
Brinkman EK;Chen T;Amendola M;van Steensel B
通讯作者:
van Steensel B