Originalartikel | erschienen - Druck | peer reviewed
Comparison of genotyping using pooled DNA samples (allelotyping) and individual genotyping using the affymetrix genome-wide human SNP array 6.0.
BMC GENOMICS
2013 ;
14:
506 -
Bibliometrische Indikatoren
Impact Factor = 4,041
Zitierhäufigkeit nach WOS = 73
DOI = 10.1186/1471-2164-14-506
PubMed-ID = 23885805
Autoren
Beteiligte Einrichtungen
Abstract
Genome-wide association studies (GWAS) using array-based genotyping technology are widely used to identify genetic loci associated with complex diseases or other phenotypes. The costs of GWAS projects based on individual genotyping are still comparatively high and increase with the size of study populations. Genotyping using pooled DNA samples, as also being referred as to allelotyping approach, offers an alternative at affordable costs. In the present study, data from 100 DNA samples individually genotyped with the Affymetrix Genome-Wide Human SNP Array 6.0 were used to estimate the error of the pooling approach by comparing the results with those obtained using the same array type but DNA pools each composed of 50 of the same samples. Newly developed and established methods for signal intensity correction were applied. Furthermore, the relative allele intensity signals (RAS) obtained by allelotyping were compared to the corresponding values derived from individual genotyping. Similarly, differences in RAS values between pools were determined and compared.
Veröffentlicht in
BMC GENOMICS
| Jahr | 2013 |
| Impact Factor (2013) | 4,041 |
| Volume | 14 |
| Issue | |
| Seiten | 506 - |
| Open Access | nein |
| Peer reviewed | ja |
| Artikelart | Originalartikel |
| Artikelstatus | erschienen - Druck |
| DOI | 10.1186/1471-2164-14-506 |
| PubMed-ID | 23885805 |
Allgemeine Daten zur Fachzeitschrift
Kurzbezeichnung: BMC GENOMICS
ISSN: 1471-2164
eISSN: 1471-2164
Land: ENGLAND
Sprache: English
Kategorie(n):
Impact Factor Entwicklung
ISSN: 1471-2164
eISSN: 1471-2164
Land: ENGLAND
Sprache: English
Kategorie(n):
- UROLOGY & NEPHROLOGY
- ENDOCRINOLOGY & METABOLISM
Impact Factor Entwicklung
| Jahr | Impact Factor |
|---|---|
| 2008 | 3,926 |
| 2009 | 3,759 |
| 2010 | 4,206 |
| 2011 | 4,073 |
| 2012 | 4,397 |
| 2013 | 4,041 |
| 2014 | 3,986 |
| 2015 | 3,867 |
| 2016 | 3,729 |
| 2017 | 3,73 |
| 2018 | 3,501 |
| 2019 | 3,594 |
| 2020 | 3,969 |
| 2021 | 4,547 |
| 2022 | 4,4 |
| 2023 | 3,5 |
| 2024 | 3,7 |
Projekte
GANI_MED Greifswald Approach to Individualized Medicine (Projektverbund)
FAQs | Impressum | Datenschutz

