Unknown

Dataset Information

0

Full-genome scan for linkage in 50 families segregating the bipolar affective disease phenotype.


ABSTRACT: A genome scan of approximately 12-cM initial resolution was done on 50 of a set of 51 carefully ascertained unilineal multiplex families segregating the bipolar affective disorder phenotype. In addition to standard multipoint linkage analysis methods, a simultaneous-search algorithm was applied in an attempt to surmount the problem of genetic heterogeneity. The results revealed no linkage across the genome. The results exclude monogenic models and make it unlikely that two genes account for the disease in this sample. These results support the conclusion that at least several hundred kindreds will be required in order to establish linkage of susceptibility loci to bipolar disorder in heterogeneous populations.

SUBMITTER: Friddle C 

PROVIDER: S-EPMC1288327 | biostudies-literature | 2000 Jan

REPOSITORIES: biostudies-literature

altmetric image

Publications

Full-genome scan for linkage in 50 families segregating the bipolar affective disease phenotype.

Friddle C C   Koskela R R   Ranade K K   Hebert J J   Cargill M M   Clark C D CD   McInnis M M   Simpson S S   McMahon F F   Stine O C OC   Meyers D D   Xu J J   MacKinnon D D   Swift-Scanlan T T   Jamison K K   Folstein S S   Daly M M   Kruglyak L L   Marr T T   DePaulo J R JR   Botstein D D  

American journal of human genetics 20000101 1


A genome scan of approximately 12-cM initial resolution was done on 50 of a set of 51 carefully ascertained unilineal multiplex families segregating the bipolar affective disorder phenotype. In addition to standard multipoint linkage analysis methods, a simultaneous-search algorithm was applied in an attempt to surmount the problem of genetic heterogeneity. The results revealed no linkage across the genome. The results exclude monogenic models and make it unlikely that two genes account for the  ...[more]

Similar Datasets

| S-EPMC5597458 | biostudies-literature
| S-EPMC1959341 | biostudies-literature
| S-EPMC1216055 | biostudies-literature
| S-EPMC4152232 | biostudies-literature
| S-EPMC3523922 | biostudies-literature
| S-EPMC2671990 | biostudies-literature
| S-EPMC2912534 | biostudies-literature
| S-EPMC4259362 | biostudies-literature
| S-EPMC2853749 | biostudies-literature