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与我基因型相同的每 10 万人中出现该疾病 99999 例
能喝的PKHD1基因
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lily
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2016-12-14 18:20
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【转帖】影响抑郁症易感程度的基因
蓝星旗
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2016-09-22 23:09
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相关基因
FKBP5
位点：RS1360780
BCR
位点：RS2156921
位点：RS2267012
位点：RS2267013
位点：RS2267015
VRK2
位点：RS1518395
RERE
位点：RS301806
CACNA1E
位点：RS169235
TMEM161B-AS1
位点：RS10514299
PAX5
位点：RS6476606
SORCS3
位点：RS10786831
SOX5
位点：RS78337797
AREL1
位点：RS1045430
PCDH9
位点：RS9592461
SPPL3
位点：RS3213572
DCDC5
位点：RS1448938
ELAVL2
位点：RS3793577
MAD1L1
位点：RS3823624
GRM5
位点：RS7932640
CTTNBP2
位点：RS7807677
STK24
位点：RS4772087
SGIP1
位点：RS10789214
DENND1A
位点：RS2670139
RFWD2
位点：RS10913112
DENND1B
位点：RS17641524
ASTN1
位点：RS7548151
HCG9
位点：RS3132685
RBFOX1
位点：RS8063603
ENOX1
位点：RS4143229
The FKBP5-gene in depression and treatment response – an association study in the STAR*D-cohort
The breakpoint cluster region gene on chromosome 22q11 is associated with bipolar disorder.
The breakpoint cluster region gene on chromosome 22q11 is associated with bipolar disorder.
The breakpoint cluster region gene on chromosome 22q11 is associated with bipolar disorder.
The breakpoint cluster region gene on chromosome 22q11 is associated with bipolar disorder.
Identification of 15 genetic loci associated with risk of major depression in individuals of European descent
Identification of 15 genetic loci associated with risk of major depression in individuals of European descent
Genome-wide meta-analysis of depression identifies 102 independent variants and highlights the importance of the prefrontal brain regions
Identification of 15 genetic loci associated with risk of major depression in individuals of European descent
Identification of 15 genetic loci associated with risk of major depression in individuals of European descent
Identification of 15 genetic loci associated with risk of major depression in individuals of European descent
Genome-wide meta-analysis of depression identifies 102 independent variants and highlights the importance of the prefrontal brain regions
Genome-wide meta-analysis of depression identifies 102 independent variants and highlights the importance of the prefrontal brain regions
Genome-wide meta-analysis of depression identifies 102 independent variants and highlights the importance of the prefrontal brain regions
Genome-wide meta-analysis of depression identifies 102 independent variants and highlights the importance of the prefrontal brain regions
Genome-wide meta-analysis of depression identifies 102 independent variants and highlights the importance of the prefrontal brain regions
Genome-wide meta-analysis of depression identifies 102 independent variants and highlights the importance of the prefrontal brain regions
Genome-wide meta-analysis of depression identifies 102 independent variants and highlights the importance of the prefrontal brain regions
Genome-wide meta-analysis of depression identifies 102 independent variants and highlights the importance of the prefrontal brain regions
Genome-wide meta-analysis of depression identifies 102 independent variants and highlights the importance of the prefrontal brain regions
Genome-wide meta-analysis of depression identifies 102 independent variants and highlights the importance of the prefrontal brain regions
Genome-wide meta-analysis of depression identifies 102 independent variants and highlights the importance of the prefrontal brain regions
Genome-wide meta-analysis of depression identifies 102 independent variants and highlights the importance of the prefrontal brain regions
Genome-wide meta-analysis of depression identifies 102 independent variants and highlights the importance of the prefrontal brain regions
Genome-wide meta-analysis of depression identifies 102 independent variants and highlights the importance of the prefrontal brain regions
Genome-wide association study of depression phenotypes in UK Biobank identifies variants in excitatory synaptic pathways.
Genome-wide association study of depression phenotypes in UK Biobank identifies variants in excitatory synaptic pathways.
Genome-wide association analyses identify 44 risk variants and refine the genetic architecture of major depression
Genome-wide association analyses identify 44 risk variants and refine the genetic architecture of major depression
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