The value of regenotyping older linkage data sets with denser marker panels.
The value of regenotyping older linkage data sets with denser marker panels.
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DOI:
10.1159/000360003
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发表时间:
2014
期刊:
影响因子:
1.8
通讯作者:
Lehner T
中科院分区:
文献类型:
--
作者:
Vieland VJ;Walters KA;Azaro M;Brzustowicz LM;Lehner T
Linkage analysis can help determine regions of interest in whole genome sequence studies. However, many linkage studies rely on older microsatellite (MSAT) panels. We set out to determine whether results would change if we regenotyped families using a dense map of SNPs. We selected 47 Hispanic-American families from the NIMH Repository and Genomics Resource (NRGR) schizophrenia data repository. We regenotyped all individuals with DNA available from the NRGR on the Affymetrix Lat Array. After optimizing SNP selection for inclusion on the linkage map, we compared information content (IC) and linkage results using MSAT, SNP and MSAT+SNP maps. As expected, SNP provided higher average IC (0.78, s.d. 0.03) than MSAT (0.51, s.d. 0.10), in a direct “apples-to-apples” comparison using only individuals genotyped on both platforms; while MSAT+SNP provided only slightly higher IC (0.82, s.d. 0.03). However, when utilizing all available individuals, including those who had available genotypes on only one platform, IC was substantially increased using MSAT+SNP (0.76, s.d. 0.05) compared to SNP (0.61, s.d. 0.02). Linkage results changed appreciably between MSAT and MSAT+SNP, in terms of magnitude, rank ordering and localization of peaks. Regenotyping older family data can substantially alter the conclusions of linkage analyses.
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影响因子:
6.2
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Cukier HN;Dueker ND;Slifer SH;Lee JM;Whitehead PL;Lalanne E;Leyva N;Konidari I;Gentry RC;Hulme WF;Booven DV;Mayo V;Hofmann NK;Schmidt MA;Martin ER;Haines JL;Cuccaro ML;Gilbert JR;Pericak-Vance MA
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Pericak-Vance MA
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4.5
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Poels EM;Kegeles LS;Kantrowitz JT;Javitt DC;Lieberman JA;Abi-Dargham A;Girgis RR
通讯作者:
Girgis RR
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30.8
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Abecasis, GR;Cherny, SS;Cardon, LR
通讯作者:
Cardon, LR
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3.7
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Glessner JT;Wang K;Sleiman PM;Zhang H;Kim CE;Flory JH;Bradfield JP;Imielinski M;Frackelton EC;Qiu H;Mentch F;Grant SF;Hakonarson H
通讯作者:
Hakonarson H
影响因子:
4.4
作者:
Shashidharan, Pullanipally;Plaitakis, Andreas
通讯作者:
Plaitakis, Andreas