Quantifying the extent to which index event biases influence large genetic association studies.
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Cross-phenotype association mapping of the MHC identifies genetic variants that differentiate psoriatic arthritis from psoriasis.Genetic epidemiology and Mendelian randomization for informing disease therapeutics: Conceptual and methodological challenges.Penetrance of Polygenic Obesity Susceptibility Loci across the Body Mass Index Distribution.Cohort Profile: The Oxford Biobank.A joint view on genetic variants for adiposity differentiates subtypes with distinct metabolic implications.Complex patterns of direct and indirect association between the transcription Factor-7 like 2 gene, body mass index and type 2 diabetes diagnosis in adulthood in the Hispanic Community Health Study/Study of Latinos
P2860
Quantifying the extent to which index event biases influence large genetic association studies.
description
2016 nî lūn-bûn
@nan
2016年の論文
@ja
2016年論文
@yue
2016年論文
@zh-hant
2016年論文
@zh-hk
2016年論文
@zh-mo
2016年論文
@zh-tw
2016年论文
@wuu
2016年论文
@zh
2016年论文
@zh-cn
name
Quantifying the extent to whic ...... e genetic association studies.
@en
type
label
Quantifying the extent to whic ...... e genetic association studies.
@en
prefLabel
Quantifying the extent to whic ...... e genetic association studies.
@en
P2093
P2860
P50
P356
P1476
Quantifying the extent to whic ...... e genetic association studies.
@en
P2093
Aaron McDaid
Andrew R Wood
Anna Murray
Archie Campbell
Jessica Tyrrell
Katherine S Ruth
Louise Donnelly
Lynne J Hocking
Marcus A Tuke
Patricia B Munroe
P2860
P304
P356
10.1093/HMG/DDW433
P50
P577
2017-03-01T00:00:00Z