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Paper Details

Genetic identification of patients with AML older than 60 years achieving long-term survival with intensive chemotherapy.
Blood
40
2021
Author NameAffiliation
Raphael ItzyksonAssistance Publique-Hopitaux de Paris (AP-HP)
Raphael ItzyksonUniversite de Paris, Centre National de la Recherche Scientifique (CNRS), INSERM
Christoph R??llig
Christoph R??lligUniversitatsklinikum Techniche Universitat Dresden
Thorsten Braun
Jean-Baptiste MicolInstitut Gustave Roussy, Universite Paris-Saclay
Lionel Ad??s
Emmanuel RaffouxAssistance Publique-Hopitaux de Paris (AP-HP)
Thomas CluzeauUniversite Cote d'Azur, CHU de Nice
Claude PreudhommeCentre Hospitalier Universitaire de Lille, Universite de Lille, INSERM
Herv?? DombretAssistance Publique-Hopitaux de Paris (AP-HP)
Herv?? DombretInstitut de Recherche Saint-Louis (IRSL), Universite de Paris
Claude Gardin
Claude GardinInstitut de Recherche Saint-Louis (IRSL), Universite de Paris
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Datasets

Allele Frequency AggregatorThe NCBI Allele Frequency Aggregator (ALFA) seeks to make allele frequency datasets from dbGaP studies the largest and most complete aggregated variant datasets available as open-access. Over two million individuals, up to billions of variations, thousands of phenotypes, and molecular test datasets make up the database dbGaP. Huge opportunities exist to investigate and research genetic differences within human populations and to find genetic factors that affect health and diseases in order to enhance diagnosis, treatment, and prevention.Link
Allele Frequency AggregatorThe NCBI Allele Frequency Aggregator (ALFA) seeks to make allele frequency datasets from dbGaP studies the largest and most complete aggregated variant datasets available as open-access. Over two million individuals, up to billions of variations, thousands of phenotypes, and molecular test datasets make up the database dbGaP. Huge opportunities exist to investigate and research genetic differences within human populations and to find genetic factors that affect health and diseases in order to enhance diagnosis, treatment, and prevention.Link
Allele Frequency AggregatorThe NCBI Allele Frequency Aggregator (ALFA) seeks to make allele frequency datasets from dbGaP studies the largest and most complete aggregated variant datasets available as open-access. Over two million individuals, up to billions of variations, thousands of phenotypes, and molecular test datasets make up the database dbGaP. Huge opportunities exist to investigate and research genetic differences within human populations and to find genetic factors that affect health and diseases in order to enhance diagnosis, treatment, and prevention.Link
Allele Frequency AggregatorThe NCBI Allele Frequency Aggregator (ALFA) seeks to make allele frequency datasets from dbGaP studies the largest and most complete aggregated variant datasets available as open-access. Over two million individuals, up to billions of variations, thousands of phenotypes, and molecular test datasets make up the database dbGaP. Huge opportunities exist to investigate and research genetic differences within human populations and to find genetic factors that affect health and diseases in order to enhance diagnosis, treatment, and prevention.Link
Allele Frequency AggregatorThe NCBI Allele Frequency Aggregator (ALFA) seeks to make allele frequency datasets from dbGaP studies the largest and most complete aggregated variant datasets available as open-access. Over two million individuals, up to billions of variations, thousands of phenotypes, and molecular test datasets make up the database dbGaP. Huge opportunities exist to investigate and research genetic differences within human populations and to find genetic factors that affect health and diseases in order to enhance diagnosis, treatment, and prevention.Link
Allele Frequency AggregatorThe NCBI Allele Frequency Aggregator (ALFA) seeks to make allele frequency datasets from dbGaP studies the largest and most complete aggregated variant datasets available as open-access. Over two million individuals, up to billions of variations, thousands of phenotypes, and molecular test datasets make up the database dbGaP. Huge opportunities exist to investigate and research genetic differences within human populations and to find genetic factors that affect health and diseases in order to enhance diagnosis, treatment, and prevention.Link
Allele Frequency AggregatorThe NCBI Allele Frequency Aggregator (ALFA) seeks to make allele frequency datasets from dbGaP studies the largest and most complete aggregated variant datasets available as open-access. Over two million individuals, up to billions of variations, thousands of phenotypes, and molecular test datasets make up the database dbGaP. Huge opportunities exist to investigate and research genetic differences within human populations and to find genetic factors that affect health and diseases in order to enhance diagnosis, treatment, and prevention.Link
Allele Frequency AggregatorThe NCBI Allele Frequency Aggregator (ALFA) seeks to make allele frequency datasets from dbGaP studies the largest and most complete aggregated variant datasets available as open-access. Over two million individuals, up to billions of variations, thousands of phenotypes, and molecular test datasets make up the database dbGaP. Huge opportunities exist to investigate and research genetic differences within human populations and to find genetic factors that affect health and diseases in order to enhance diagnosis, treatment, and prevention.Link
Allele Frequency AggregatorThe NCBI Allele Frequency Aggregator (ALFA) seeks to make allele frequency datasets from dbGaP studies the largest and most complete aggregated variant datasets available as open-access. Over two million individuals, up to billions of variations, thousands of phenotypes, and molecular test datasets make up the database dbGaP. Huge opportunities exist to investigate and research genetic differences within human populations and to find genetic factors that affect health and diseases in order to enhance diagnosis, treatment, and prevention.Link
Allele Frequency AggregatorThe NCBI Allele Frequency Aggregator (ALFA) seeks to make allele frequency datasets from dbGaP studies the largest and most complete aggregated variant datasets available as open-access. Over two million individuals, up to billions of variations, thousands of phenotypes, and molecular test datasets make up the database dbGaP. Huge opportunities exist to investigate and research genetic differences within human populations and to find genetic factors that affect health and diseases in order to enhance diagnosis, treatment, and prevention.Link
Allele Frequency AggregatorThe NCBI Allele Frequency Aggregator (ALFA) seeks to make allele frequency datasets from dbGaP studies the largest and most complete aggregated variant datasets available as open-access. Over two million individuals, up to billions of variations, thousands of phenotypes, and molecular test datasets make up the database dbGaP. Huge opportunities exist to investigate and research genetic differences within human populations and to find genetic factors that affect health and diseases in order to enhance diagnosis, treatment, and prevention.Link