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Screening candidate genes for mutations in patients with hypogonadotropic hypogonadism using custom genome resequencing microarrays

  • Ning Xu
    ,
  • Robert H. Podolsky
    ,
  • Pranav Chudgar
    ,
  • Lynn P. Chorich
    ,
  • Chunmei Liu
    ,
  • Paul G McDonough
*Corresponding author for this work
Scholary Output:
Contribution to journal
Article
Peer-review

Sustainable Development Goals

  • SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well

Abstract

Objective: The purpose of this study was to determine the consistency of calling single nucleotide polymorphisms (SNPs) by custom genome resequencing microarrays compared with capillary DNA sequencing. Study design: Amplified genomic DNA from 23 patients with hypogonadotropic hypogonadism was hybridized to microarrays containing 30 kilobases of sequence from 6 different candidate genes. Capillary DNA sequencing was performed in 10 patients. Results: For 10 patients with ≥90% of bases called, 49 SNPs in 5 of 6 genes were identified. Of the 490 bases, 75 were ambiguous (read as "N"), and 415 were able to be called an A, C, G, or T. Of 415 called, 401 (96.6%) sequences were confirmed by DNA sequencing. All homozygotes (285/285) were called identically, while sequence from 89.2% (116/130) of heterozygotes agreed by both methods. The level of agreement between microarray calls and capillary DNA sequencing demonstrated substantial accuracy. Conclusion: Custom genome resequencing microarrays are highly consistent with capillary sequencing in calling individual bases in genomic DNA from patients with human disease.

Publication Information

Output type

Scholary Output:
Contribution to journal
Article
Peer-review

Original language

English (US)

Pages from-to (Number of pages)

Pages 1274-1282 (9 pages)

Journal (Volume, Issue Number)

American journal of obstetrics and gynecology (Volume 192, Issue 4)

Publication milestones

  • Published - 04/2005

Publication status

Published - 04/2005

ISSN

0002-9378

Publication IDs

  • Scopus: 16844362169
  • PubMed: 15846219

Publication metrics

Metrics

SciVal
FWCI
1.47
SciVal
Author count
8
SciVal
citations
12
SciVal
Paper percentile
64
Fractional count
2
Fractional count
0.25
Fractional count
6
Fractional count
0.75
Fractional count
2
Fractional count
1
Scopus
citations

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Citation count
12
Captures
10

Funding Details

FunderFunding number
NICHD
R29HD033004