Boomsma, D. (2018). Genome-wide association analyses identify 143 risk variants and putative regulatory mechanisms for type 2 diabetes. Boomsma , D , Nivard , M G & eQTLGen Consortium 2018 , ' Genome-wide association analyses identify 143 risk variants and putative regulatory mechanisms for type 2 diabetes ' , Nature Communications , vol. 9 , no. 1 , 2941 . https://doi.org/10.1038/s41467-018-04951-w.
Chicago-Zitierstil (17. Ausg.)Boomsma, Dorret. "Genome-wide Association Analyses Identify 143 Risk Variants and Putative Regulatory Mechanisms for Type 2 Diabetes." Boomsma , D , Nivard , M G & EQTLGen Consortium 2018 , ' Genome-wide Association Analyses Identify 143 Risk Variants and Putative Regulatory Mechanisms for Type 2 Diabetes ' , Nature Communications , Vol. 9 , No. 1 , 2941 . Https://doi.org/10.1038/s41467-018-04951-w2018.
MLA-Zitierstil (8. Ausg.)Boomsma, Dorret. "Genome-wide Association Analyses Identify 143 Risk Variants and Putative Regulatory Mechanisms for Type 2 Diabetes." Boomsma , D , Nivard , M G & EQTLGen Consortium 2018 , ' Genome-wide Association Analyses Identify 143 Risk Variants and Putative Regulatory Mechanisms for Type 2 Diabetes ' , Nature Communications , Vol. 9 , No. 1 , 2941 . Https://doi.org/10.1038/s41467-018-04951-w2018.