Skip to main content
. Author manuscript; available in PMC: 2013 May 30.
Published in final edited form as: N Engl J Med. 2011 Sep 26;365(13):1173–1183. doi: 10.1056/NEJMoa0911353

Table 2.

Thirteen of the 100 Highest-Powered Single-Nucleotide Polymorphisms (SNPs), According to a Genomewide Screening Analysis with the Family-Based Association Test (FBAT).*

SNP Power Rank Model No. of Informative Families P Value on FBAT Chromosomal Position Gene
rs6993479 5 Dominant 54 0.004 chr8:71108153
rs1320125 26 Additive 84 0.006 chr2:240936900
rs956133 32 Additive 84 0.043 chr2:215531591 ABCA12
rs37972 38 Additive 88 0.010 chr7:7974034 GLCCI1
rs10933595 43 Additive 80 0.021 chr2:240940495
rs4282162 49 Recessive 55 0.028 chr4:21426819 KCNIP4
rs2804311 61 Recessive 47 0.011 chr9:545631 ANKRD15
rs2644645 83 Dominant 57 0.021 chr5:174828792 SFXN1
rs10496195 92 Recessive 43 0.042 chr2:74928440 HK2
rs7498886 93 Recessive 53 0.049 chr16:60636703 CDH8
rs12446238 94 Recessive 53 0.049 chr16:60632639 CDH8
rs2172706 95 Additive 72 0.003 chr1:152935918
rs624964 100 Dominant 69 0.018 chr10:11271837 CUGBP2
*

Replication results for the 12 SNPs successfully genotyped in the initial three replication cohorts can be found in Table 2 in the Supplementary Appendix; data from the fourth replication cohort, participants in the Childhood Asthma Research and Education Network trials, were made available only after the initial replication analysis and were limited to the rs37972 variant from this table.

The data from the genomewide association study were analyzed with the use of the family-based screening algorithm, which ranks SNPs according to power to detect an association without biasing the subsequent FBAT results. After the ranking by power, the traditional FBAT was used to generate the reported P values.

Model refers to the type of genetic model identified as top-powered for the SNP power rank. Since the screening step did not limit the number of statistical comparisons, all three genetic models were ranked according to statistical power for subsequent association analyses.