General Framework for Meta‐Analysis of Haplotype Association Tests

General Framework for Meta‐Analysis of Haplotype Association Tests

For complex traits, most associated single nucleotide variants (SNV) discovered to date have a small effect, and detection of association is only possible with large sample sizes. Because of patient confidentiality concerns, it is often not possible to pool genetic data from multiple cohorts, and me...

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Bibliographic Details
Main Authors: Wang, Shuai, Zhao, Jing Hua, An, Ping, Guo, Xiuqing, Jensen, Richard A., Marten, Jonathan, Huffman, Jennifer E., Meidtner, Karina, Boeing, Heiner, Campbell, Archie, Rice, Kenneth M., Scott, Robert A., Yao, Jie, Schulze, Matthias B., Wareham, Nicholas J., Borecki, Ingrid B., Province, Michael A., Rotter, Jerome I., Hayward, Caroline, Goodarzi, Mark O., Meigs, James B., Dupuis, Josée
Format: Online
Language:English
Published: John Wiley and Sons Inc. 2016
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4869684/

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https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4869684/

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