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Table 2 Analysis of genes associated with hypertension in simulated data

From: Prioritization of family member sequencing for the detection of rare variants

 

Base cases & controls (n = 719)

Potential cases & controls (n = 447)

Selected cases & controls (n = 316)

Rank

Gene

p Value

Rank

Gene

p Value

Rank

Gene

p Value

1

PAQR9-AS1

0.0011739

1

MIR4790

0.0000621

1

CHMP2B

0.0017687

2

CISH

0.0031990

2

PAQR9-AS1

0.0041593

2

CSPG5

0.0033962

3

MIR4790

0.0032477

3

RUVBL1-AS1

0.0043295

3

SEMA3B

0.0043256

4

TMIE

0.0038134

4

SPSB4

0.0077963

4

FGD5-AS1

0.0051885

5

ERICH6-AS1

0.0071538

5

SEMA3B

0.0093311

5

DHX30

0.0058120

6

LOC102724699

0.0071575

6

MBNL1

0.0118256

6

SEC22C

0.0060621

7

DPPA2P3

0.0089600

7

ERICH6-AS1

0.0121301

7

ATRIP

0.0061709

8

IMPDH2

0.0121196

8

CIDEC

0.0123527

8

MAP4

0.0067952

9

MAP6D1

0.0131694

9

PLXNB1

0.0128340

9

DLG1-AS1

0.0077826

10

IGSF10

0.0138335

10

FGD5-AS1

0.0152014

10

CHMP2B

0.0086741

388

MAP4

0.3111750

262

MAP4

0.2198460

   
  1. Analysis of genes on chromosome 3 among different sets of cases and controls. MAP4 is shown in bold, as it has the strongest simulated effect on systolic blood pressure
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BMC Proceedings

ISSN: 1753-6561

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